in relation to prey availability in winter wheat

Size: px
Start display at page:

Download "in relation to prey availability in winter wheat"

Transcription

1 Ecology , Living where the food is: web location by linyphiid spiders Blackwell Science, Ltd in relation to prey availability in winter wheat J.D. HARWOOD*, K.D. SUNDERLAND and W.O.C. SYMONDSON* *School of Biosciences, Cardiff University, PO Box 915, Cardiff CF10 3TL, UK; and Horticulture Research International, Wellesbourne, Warwick CV35 9EF, UK Summary 1. Spiders form a major component of the generalist predator fauna, potentially able to restrict pest population growth, but their populations may be food-limited under current farming regimes. This study aimed to quantify food availability to spiders in winter wheat and to determine whether spider web locations are positively associated with available food resources. 2. Mini-sticky traps (availability rate per 24 h, including prey falling from the crop) and mini-quadrats (instantaneous density on the ground by day) were used, in combination, to monitor the availability of potential prey to web-building species of money spider (Linyphiidae) in fields of winter wheat in Warwickshire, UK, These methods were applied to web sites of individual spiders and to non-web sites located randomly up to 30 cm away from each web. A total of invertebrates were captured using these methods. 4. Overall, significantly more potential prey were available in web sites than in non-web sites (both on sticky traps and in quadrats). 5. Prey availability in May and July was about a third of that in June (both on sticky traps and in quadrats) and may have been below that known to be necessary for spiders to realize their maximum population growth rate. 6. The peak rate of capture of linyphiid spiders on mini-sticky traps was 0 6 trap 1 day 1 at web sites, and approximately half this value at non-web sites. Numbers of spiders captured by mini-sticky traps and mini-quadrats increased exponentially as the season progressed. The high capture frequency in relation to population density, and the differential between web and non-web sites, points to a dynamic and aggregated distribution of spiders in winter wheat, which is consistent with what is known about mate-searching and web site abandonment rates by the Linyphiidae. 7. The combination of techniques described here is recommended for monitoring prey availability in prey-enhancement programmes and may prove useful in quantitative studies of both intra- and interspecific interactions between spiders. Key-words: aggregative responses, Collembola, generalist predators, mini-quadrats, mini-sticky traps. Ecology (2001) 38, Ecological Society Introduction In Britain, the area of cereal crops treated with pesticide has increased by 24% since 1994, with a concomitant 16% increase in the amount of active ingredients applied ( Thomas, Garthwaite & Banham 1996). Although chemical pesticides are convenient to use, and often efficient and cost-effective in the short term, it is now appreciated that they are not a long-term option Correspondence: Dr W.O.C. Symondson (fax ; [email protected]). because of the associated cumulative problems (such as pest resistance and environmental pollution) that render pesticide-based agriculture unsustainable (Pimentel 1995). Biological control is a strong alternative option, and for the majority of low-value outdoor European crops this must be achieved through conservation of endemic biocontrol agents (i.e. conservation biological control ; Ehler 1998) rather than by classical biological control or rear-and-release methods. Small soft-bodied pests (such as aphids) that are accessible on the vegetation and ground surface, are attacked by a range of natural enemies (pathogens, parasitoids, specialist and

2 89 Web location by linyphiid spiders generalist natural enemies) that interact in complex ways (Sunderland et al. 1997). Generalist predators (e.g. spiders, carabid and staphylinid beetles) have the valuable attribute of being able to subsist on alternative non-pest prey. They can therefore either simply be present in the field before the pest arrives, performing a lying-in-wait strategy ( Murdoch, Chesson & Chesson 1985; Chang & Kareiva 1999), or build up their populations on alternative foods early in the season and then impact on the pest population with a favourable predator : pest ratio during the early phase of pest population growth (Settle et al. 1996). Manipulative field experiments have demonstrated that generalist predators can often (Edwards, Sunderland & George 1979; Chiverton 1986; Duffield et al. 1996), but not always (Holland & Thomas 1997), contribute to commercially valuable reductions of aphid populations on wheat. Web-building species of money spider (Linyphiidae), such as Lepthyphantes tenuis (Blackwall) and Erigone atra (Blackwall), consume cereal aphids (Sunderland et al. 1987) and trap considerable numbers in their horizontal sheet webs (Sunderland, Fraser & Dixon 1986a; Alderweireldt 1994a), which can cover up to half of the surface area of a wheat field (Sunderland, Fraser & Dixon 1986b). Death of pests trapped in webs may contribute to pest control even if the spider does not consume them (Sunderland 1999). Reviews of the literature have demonstrated that spider density is likely to be increased by within-crop habitat diversification (Samu & Sunderland 1999; Sunderland & Samu 2000). The mechanisms underlying this effect are not fully understood but it is probable that prey diversification is an important factor. Laboratory investigations suggest that the value of different prey types for supporting spider population growth varies greatly between major taxonomic groups (orders and families) of prey ( Toft 1995; Sunderland et al. 1996; Beck & Toft 2000; Bilde, Axelsen & Toft 2000) and even between congeneric species [e.g. between the collembolans Isotoma anglicana Lubbock and Folsomia candida Willem ( Toft & Nielsen 1997; K.D. Sunderland, J.D. Harwood & W.O.C. Symondson, unpublished data) and Isotoma tigrina Nicolet (T. Bilde & S. Toft, unpublished data)]. To guide the future development of improved practical techniques aimed at enhancing spider populations and increase their impact on pests, quantitative information (from the field or under simulated field conditions) will be needed on (i) the absolute and relative availability of different prey types, (ii) prey preferences, and (iii) diet-related spider population growth rates. In this paper we address the first of these aims and develop the methodology needed to quantify prey availability in the field. For this purpose it is necessary to quantify how many prey are available close to the webs of individual spiders, which are to be found on the ground or up to 10 cm above the ground (Sunderland, Fraser & Dixon 1986a). Sampling methods such as vacuum insect nets (Potts & Vickerman 1974; Moreby et al. 1994), pitfall traps (Nentwig 1982) and large sticky traps (Kajak 1965; Sunderland, Fraser & Dixon 1986b) fail to provide density estimates, or seriously underestimate density (Sunderland & Topping 1995; Sunderland et al. 1995), and lack the spatial precision needed for this study. To be able ultimately to optimize the spatial distribution of within-field diversified prey resource it is necessary to know how efficiently and dynamically spiders are capable of relocating their webs in relation to temporal and spatial fluctuations of prey availability. Some web-building spiders are known to be efficient in this respect (McNett & Rypstra 1997) but others are relatively insensitive to prey availability (Schaefer 1978). There are, however, very few such studies of spiders in agricultural habitats (Sunderland & Samu 2000). In this study we (i) quantified spatial and temporal variation in the availability of potential prey to webbuilding linyphiid spiders in fields of winter wheat, using a combination of instantaneous and cumulative sampling techniques, and (ii) determined whether web location is correlated spatially with the abundance of potential prey. As far as we know, this is the first time that these topics have been investigated in an agricultural setting. Methods DESCRIPTION OF STUDY AREA The study sites were winter wheat (cv. Hereward ) fields of approximately 7 ha planted on a predominantly sandy loam soil at Horticulture Research International (HRI), Wellesbourne, Warwickshire, UK ( N, W). The fields were farmed according to standard farming practice and no insecticide applications were required during the period of investigation. The study sites were surrounded by fields of spring barley, winter barley, winter wheat and by hay meadows. SAMPLING METHODOLOGY Sampling was carried out from late April until harvest (in late July/early August) in 1997 and The abundance of invertebrates (including potential prey) was determined by two different ground-based sampling methods: mini-sticky traps and mini-quadrats. These methods were designed to be small and precise enough to monitor potential prey in the immediate area of a web without the interference of sampling noise from invertebrates that would never be encountered by the spiders. They also form a complementary pair of methods; the mini-sticky trap is a passive sampling technique that relies on activity of the prey, but can sample throughout 24 h and catch prey that fall or descend from higher strata, whereas collection from a mini-quadrat is an active sampling method, confined to the ground during a very limited time period (thus providing an instantaneous density estimate). The use of mini-quadrats

3 90 J.D. Harwood, K.D. Sunderland & W.O.C. Symondson enables the collection of potential prey that are temporarily inactive and hiding under weeds, small stones and at the bases of cereal stems. The plastic mini-sticky traps were 7 5 cm 2 (1 5 cm 5 cm, 2 mm thick), which is of comparable area to webs constructed by the common erigonid spiders E. atra and Erigone dentipalpis (Wider) (Sunderland, Fraser & Dixon 1986a; Alderweireldt 1994a). The traps were coloured with black acrylic paint (to minimize visual attraction by merging in colour with the ground surface) and were covered on the upper side with a thin acetate sheet coated with Oecotak A5, a non-toxic polybutene-based adhesive (Oecos, Kimpton, UK). The black traps were unlikely to absorb much additional heat from sunlight because they were placed on the ground surface, and were therefore shaded by the winter wheat. After traps were removed from the field, the detachable acetate sheet was placed in a bath of white spirit to dissolve the Oecotak, enabling recovery of trapped invertebrates into alcohol for storage and later identification. The mini-quadrats were circular sampling areas (diameter 10 cm, area approximately 78 5 cm 2 ) defined by a template. These were placed on the ground, surrounding the web or non-web site. All invertebrates were collected from within the miniquadrat by pooter, searching under loose soil and vegetation. Sheet webs were located at random within the study fields, and linyphiid spiders present within these webs were captured and preserved for subsequent identification. Vacant webs were not categorized as web sites because spiders are known to leave their webs in active pursuit of prey (Alderweireldt 1994a; Schütt 1995) or abandon their web sites (Samu et al. 1996) in search of more profitable hunting grounds ( Vollrath 1985; Gillespie & Caraco 1987). Therefore, only webs in which linyphiid spiders were present were included in the analysis. The webs were removed because spiders are known to be attracted by the presence of silk (Leborgne & Pasquet 1987; Hodge & Storfer-Isser 1997). This also minimized any potential interference with the traps. One mini-sticky trap was centred horizontally on the ground at the position from which a web was removed, and another placed at a random non-web site nearby (up to 30 cm away). Sampling was always carried out in pairs, to enable direct comparisons between each set of traps, which were left in situ for 24 h. Great care was taken not to disturb surrounding vegetation and dislodge arthropods onto the traps during placement and collection. When sampling by mini-quadrat, the same pairwise sampling procedure was used as described above for mini-sticky traps. The ground within the miniquadrat was searched thoroughly, and all arthropods present were transferred immediately into alcohol. No attempt was made to collect arthropods from the crop vegetation above the mini-quadrat. Samples were taken during the daytime between hours and hours. Comparisons between web-centred and non-webcentred mini-sticky traps were made from mid-june to mid-july in 1997 (n = 120 paired samples), and a more extensive monitoring programme performed in 1998 at regular intervals from late April until harvest (n = 250). Mini-quadrats were used to sample the abundance of potential prey during July 1997 (n = 52) and from late April until harvest in 1998 (n = 271). No comparisons were made for quadrat catches between the two years due to the different sampling dates. WEATHER VARIABLES Meteorological data (maximum and minimum air temperatures; soil temperature; rainfall; hours of sunshine; wind speed; rate of evaporation; relative humidity) were obtained from the weather station located at HRI Wellesbourne, which was within 1200 m of all field sites. SAMPLE DATA ANALYSIS To stabilize variances, all sample data were transformed (log 10 (x + 1)) prior to analyses. For the purposes of making direct comparisons between mini-sticky traps and mini-quadrats, data were converted into standard unit areas (per cm 2 ). Analysis of variance (ANOVA) was used to analyse potential prey populations captured by mini-sticky traps and mini-quadrats. Catches of potential prey were pooled over time for comparisons of web vs. non-web sites, and mini-sticky traps verses mini-quadrats. A non-parametric Mann Whitney U-test was used where the assumptions of ANOVA could not be met, and paired sample t-tests were used to compare numbers of individual prey taxa captured by web and non-web traps. Where less common prey taxa were analysed, data were grouped into means per sampling session and the analysis was performed on mean numbers captured per session. Potential prey items in the samples were separated from other invertebrates on the basis of size (the linyphiid species found in winter wheat are rarely able to capture and kill prey > 5 mm long) and in relation to information from the published literature for prey of linyphiids in European arable crops (Sunderland, Fraser & Dixon 1986a; De Keer & Maelfait 1987a, 1988; Nyffeler & Benz 1988; Alderweireldt 1994a; Jmhasly & Nentwig 1995; Toft 1995) and the results of laboratory prey acceptability trials (K.D. Sunderland, unpublished data). Results Data for web sites of all Linyphiidae were pooled and analysed collectively. Table 1 shows the numbers of each species/genus/subfamily of spider captured at web sites prior to sampling by mini-sticky traps and quadrats (i.e. the web owners). The total numbers of linyphiids recorded exceeded the number of web sites because, occasionally, more than one spider was present in a web.

4 91 Web location by linyphiid spiders Table 1. Number of each species/genus/subfamily caught in web sites prior to sampling by mini-sticky traps (MS) and miniquadrats (MQ) during 1997 and 1998 Species/genus/subfamily 1997 MS 1997 MQ 1998 MS 1998 MQ Erigone atra (Blackwall) Erigone dentipalpis (Wider) Milleriana inerrans (O.P.-Cambridge) 3 1 Oedothorax spp Lepthyphantes tenuis (Blackwall) Bathyphantes gracilis (Blackwall) Meioneta rurestris (C.L. Koch) Porrhomma errans (Blackwall) 1 Micrargus subaequalis (Westring) 1 Pachygnatha degeeri Sundevall 1 1 Erigoninae juveniles Linyphiinae juveniles Total captured Fig. 1. Mean number of potential prey, non-prey and spiders captured (per cm 2 ) by mini-sticky traps and mini-quadrats within web sites during (a) 1997 and (b) Bars are ± SE. Numbers above columns are the ratios of numbers of prey captured by ministicky trap/mini-quadrat. COMPARISON OF PREY CAPTURE BY STICKY TRAP AND QUADRAT In 1997, web-centred mini-sticky traps (cumulative sampling over 24 h) caught more potential prey items, per cm 2, than were found in mini-quadrats (instantaneous sampling during the day) (F 1,340 = 5 67, P < 0 001). However, comparisons between individual prey taxa were not possible due to the small number of sampling dates (n = 4 for both mini-sticky traps and mini-quadrats).

5 92 J.D. Harwood, K.D. Sunderland & W.O.C. Symondson Fig. 2. Mean number (per trap per day) of (a) total potential prey, (b) all Collembola, (c) Isotoma anglicana (Collembola) and (d) Isotomurus palustris (Collembola) captured by web-centred (filled circles) and non-web-centred (empty circles) mini-sticky traps from May to July Bars are ± SE. Similarly in 1998, significantly more potential prey items were captured, per cm 2, by web-centred mini-sticky traps than by web-centred mini-quadrats (F 1,1038 = , P < 0 001). There were also large differences between the two methods in the numbers of certain invertebrate taxa captured during both 1997 and 1998 (Fig. 1). Significantly more Collembola (F 1,1038 = , P < 0 001), Diptera (Mann Whitney, U = 0 0, n = 35, P < 0 001), Hymenoptera (U = 64 0, n = 35, P < 0 01) and Araneae (U = 77 5, n = 35, P < 0 05) were caught by web-centred mini-sticky traps than were sampled by web-centred mini-quadrats. There were large differences in the ratio of individual prey taxa captured, per cm 2, between the two sampling methodologies (Fig. 1). The small dipterans that were classified as potential prey were especially diverse, with representatives from the families Cecidomyiidae, Lonchopteridae, Phoridae, Sciaridae, Mycetophilidae, Drosophilidae and Dolichopodidae. LOCATION OF POTENTIAL PREY AND SPIDERS In 1997, significantly more potential prey items were captured in sites where Linyphiidae had constructed their webs than in non-web sites, as monitored by both mini-sticky traps (F 1,238 = 6 80, P < 0 01) and mini-quadrats (F 1,102 = 12 22, P < 0 01). Similar results were found in 1998, on different fields, again when monitored by both mini-sticky traps (F 1,480 = 96 69, P < 0 001) and mini-quadrats (F 1,520 = 75 51, P < 0 001). The temporal abundance of potential prey in 1998 was found to be highly variable (F 9,480 = 28 45, P < 0 001) (Fig. 2a). Collembola, which constituted > 60% of all potential prey items captured by web-centred mini-sticky traps during 1998, were significantly more abundant in web sites (mean per cm 2 = 0 60 ± 0 04) than in non-web sites (mean per cm 2 = 0 26 ± 0 02) (F 1,480 = , P < 0 001). Similar distribution patterns were also evident when individual species of Collembola were analysed. The two most abundant isotomid collembolans, I. anglicana (sensu. Fjellberg 1980) and Isotomurus palustris Müller, were present in greater densities on web-centred, than on non-web, mini-sticky traps (I. anglicana: F 1,480 = 39 69, P < 0 001; I. palustris: F 1,18 = 6 41, P < 0 05) and in mini-quadrats (I. anglicana: F 1,520 = 29 59, P < 0 001; I. palustris: F 1,520 = 22 54, P < 0 001). The temporal capture frequencies of these species, and of Collembola as a whole, on mini-sticky traps varied significantly throughout the monitoring period (Fig. 2b d) (all Collembola: F 9,480 = 45 56, P < 0 001; I. anglicana: F 9,480 = 55 60, P < 0 001; I. palustris: F 9,480 = 17 22, P < 0 001). Similar significant differences between numbers captured over time were recorded by mini-quadrat sampling (all Collembola: F 10,520 = 59 67, P < 0 001; I. anglicana: F 10,520 = 99 30, P < 0 001;

6 93 Web location by linyphiid spiders Fig. 3. Mean number of entomobryid collembolans (Lepidocyrtus cyaneus and Entomobrya multifasciata) captured per cm 2 by web-centred mini-sticky traps and mini-quadrats during Points are log 10 (means) for individual sampling occasions. Mini-sticky trap regression: log 10 y = x 0 117, r 2 = 0 80, t 14 = 7 10, P < Mini-quadrat regression: log 10 y = x 0 164, r 2 = 0 42, t 19 = 3 64, P < Table 2. Differences between web and non-web sites in numbers of potential prey (Diptera, Hymenoptera, Coleoptera, Aphididae) and spiders (Araneae) captured by (a) mini-sticky traps and (b) mini-quadrats, in winter wheat in The area of a mini-sticky trap (7 5 cm 2 ) is approximately a tenth that of a mini-quadrat (78 5 cm 2 ). Mean number of Araneae captured per web-centred mini-quadrat are presented as (x + 1) to account for the web owner Variable t d.f. P Mean per web site ± SE Mean per non-web site ± SE Ratio web/ non-web (a) Mini-sticky traps Collembola < ± ± Diptera ± ± Hymenoptera ± ± Coleoptera ± ± Aphididae ± ± Araneae ± ± (b) Mini-quadrats Collembola < ± ± Diptera ± ± Hymenoptera ± ± Coleoptera < ± ± Aphididae ± ± Araneae < ± ± I. palustris: F 10,520 = 77 06, P < 0 001). However, despite this temporal variability, more Collembola (total and isotomid) were captured on all dates at web-centred sites, regardless of sampling method. The entomobryid collembolans Lepidocyrtus cyaneus Tullberg and Entomobrya multifasciata (Tullberg) constituted 25 4% of total potential prey items on mini-sticky traps and 57 6% in mini-quadrats in 1997, although this difference was not significant. They were relatively less dominant in 1998 (5 6% for mini-sticky traps and 14 3% for mini-quadrats), with no significant difference between the two sampling methods, although there was a significant difference in numbers captured by mini-sticky traps between the two years (U = , n = 240, P < 0 05). No comparison was made for quadrat catches between the two years due to the different sampling dates. However, during 1998 the density of Entomobryidae increased logarithmically as the season progressed (Fig. 3). Analysis of covariance indicated that there was no significant difference between the slopes for mini-sticky traps and quadrats (F 1,31 = 0 40, P > 0 05) or the y-axis intercepts (F 1,31 = 0 52, P > 0 05). Linyphiidae were significantly more abundant in web than non-web sites both on mini-sticky traps and in mini-quadrats, and Diptera, Hymenoptera and Coleoptera were more abundant in web than non-web sites within mini-quadrats (Table 2). The sex ratio of spiders captured also varied considerably. Male linyphiids were captured on significantly more occasions than females on mini-sticky traps in web sites (U = 56 5,

7 94 J.D. Harwood, K.D. Sunderland & W.O.C. Symondson Fig. 4. Mean number of Linyphiidae sampled by web and non-web-centred mini-quadrats during Data for web quadrats are presented as log 10 (x + 1) to account for the web owner. Web regression: log 10 y = x 0 080, r 2 = 0 72, t 19 = 6 78, P < Non-web regression: log 10 y = x 0 360, r 2 = 0 64, t 19 = 5 63, P < Fig. 5. Mean number of Linyphiidae captured by web and non-web-centred mini-sticky traps during Web regression: log 10 y = x 0 395, r 2 = 0 37, t 14 = 2 73, P < Non-web regression: log 10 y = x 0 250, r 2 = 0 45, t 14 = 3 25, P < n = 30, P < 0 01); 3 3 times more male than female spiders were also collected in non-web traps, although these differences were not statistically significant. Linyphiid density, monitored by mini-quadrat sampling, increased logarithmically with time (Fig. 4). Analysis of covariance indicated a significant difference between the slopes of the web and non-web regressions (F 1,36 = 7 17, P < 0 05) and the y-axis intercepts (F 1,36 = 76 51, P < 0 001), showing that linyphiid density was increasing more rapidly at web sites. The number of linyphiids captured by mini-sticky traps (both web and non-web) showed a similar pattern (Fig. 5) but analysis of covariance indicated no significant difference between the two slopes (F 1,26 = 1 57, P > 0 05) or y-axis intercepts (F 1,26 = 0 32, P > 0 05), but the two slopes are significantly different from zero (F 1,26 = 14 28, P < 0 01). The log 10 number of spiders captured by these methods within web sites also increased when regressed against maximum air temperature (mini-sticky traps: r 2 = 0 27, t 14 = 2 18, P < 0 05; mini-quadrats: r 2 = 0 57, t 19 = 4 91, P < 0 001) and soil temperature (mini-quadrats: r 2 = 0 53, t 19 = 4 47, P < 0 001). A negative relationship was found to exist between the number of Linyphiidae and Collembola captured by web-centred mini-sticky traps (log 10 Linyphiidae = log 10 Collembola , r 2 = 0 40, t 14 = 2 97, P < 0 05). No such relationship was found using data from mini-quadrats. BETWEEN-YEAR VARIATION IN ARTHROPOD DENSITY From the comparison of 4 consecutive weeks (mid-june to mid-july) of mini-sticky trap data collected during

8 95 Web location by linyphiid spiders Table 3. Mean daily meteorological values (± SE) for climatic conditions in the months May, June and July during 1997 and 1998 Mean per day Weather variable F P Maximum air temperature ( C) ± ± Minimum air temperature ( C) 7 76 ± ± Soil temperature at 10 cm ( C) ± ± Rainfall (mm) 1 95 ± ± Sunshine (h) 5 85 ± ± Wind speed (m.p.h.) 8 50 ± ± Rate of evaporation 2 60 ± ± Relative humidity ± ± (mean number of total potential prey captured per web site = 3 12 ± 0 22, non-web site = 2 38 ± 0 20) with a data set for the same calendar period during 1998 (mean number per web site = 5 69 ± 0 50, non-web site = 3 95 ± 0 27), the mean number of arthropods captured during the second year was significantly greater (F 1,476 = 20 55, P < 0 001). BETWEEN-YEAR VARIATION IN WEATHER Despite the large variation in the numbers of arthropods captured between years, there was no evidence to suggest that meteorological factors were responsible for such variability. Comparisons of data from 1997 and 1998 indicated that no category of meteorological data varied significantly in the 4 weeks prior to sampling, or during the months in which the study was undertaken (Table 3). Discussion Quadrats (Bilsing 1920; Edgar 1969) and sticky traps (Kajak 1965; Sunderland, Fraser & Dixon 1986b; Riechert 1991; Bradley 1993; Gillespie & Tabashnik 1994; Marshall 1997) have been used previously to monitor the potential prey of spiders, but very few of these studies were in agricultural habitats. This appears to be the first study where both methods were applied simultaneously to individual web sites to obtain a balanced and spatially precise assessment of the availability of potential prey. Overall, it revealed that Collembola were the most abundant group of potential prey. Biomass of prey items was not recorded in this study, but it is likely that Diptera, Hymenoptera, Coleoptera and Aphididae would increase in relative importance if biomass were to be taken into account. Densities of potential prey (per cm 2 ) were usually greater on mini-sticky traps than in mini-quadrats. This is, in part, because the latter offer an instantaneous measure of prey availability, whereas the former represent an availability rate (per 24 h in this case). It is, however, also likely that the cumulative differences are related to diel cycles in availability of prey to spiders in webs on and near the ground (Vickerman & Sunderland 1975; Leathwick & Winterbourn 1984; Sunderland 1996). Nocturnal prey availability could be an important aspect of the trophic biology of agricultural linyphiids because many species are particularly active at night (Thornhill 1983; De Keer & Maelfait 1987b; Alderweireldt 1994b). The ratio of aerial species, such as Diptera and Hymenoptera, sampled by ministicky traps in relation to mini-quadrats was particularly high, indicating the likelihood of underestimating the presence of such species if quadrat sampling is used alone. The ratio of Aphididae captured by mini-sticky traps in relation to quadrats was also relatively high, probably due to the presence of alate aphids descending into the crop, and the high frequency with which aphids are known to fall from the crop (Sunderland, Fraser & Dixon 1986b; Sopp, Sunderland & Coombes 1987). It is clear, therefore, that use of daytime miniquadrats alone would have seriously underestimated the abundance and diversity of prey available to spiders. There was considerable temporal variation in prey availability. Less than four prey items were available per mini-sticky trap per day (c. 0 5 cm 2 ) in web sites during May and July. This is approximately equivalent to four items per day entering the 8-cm 2 web of an adult female Erigoninae spider (e.g. E. atra). If the 74-cm 2 webs of adult female Linyphiinae spiders (e.g. L. tenuis) were on the ground they would receive a mean of 37 items per day, but as they are located up to 10 cm above ground they will receive only falling prey, and therefore fail to benefit from the traffic of ground-active prey. This does not necessarily mean that these linyphiids would receive less than this number of prey items, because their location may allow them to intercept and capture more flying species than they would at ground level. Solid horizontal sticky traps at 10 cm above ground caught half as many potential prey per unit area as traps placed on the ground (Sunderland, Fraser & Dixon 1986a), but solid traps might not be appropriate in an aerial location. Immature Linyphiidae, which constitute the vast majority of spiders during the growing season (Sunderland & Topping 1993; Topping & Sunderland 1998), have much smaller webs (16 cm 2 for Linyphiinae and 3 cm 2 for Erigoninae; Sunderland, Fraser & Dixon 1986a) and so will receive commensurately fewer prey. In laboratory studies, immature E. atra that received approximately one collembolan per

9 96 J.D. Harwood, K.D. Sunderland & W.O.C. Symondson day at 20 C had markedly slower development rates than those that received an ad libitum supply (De Keer & Maelfait 1988). Immature E. atra in the current study are estimated to have received approximately 1 5 prey items per day in May and July, and so their development is likely to have been food-limited. De Keer & Maelfait (1988) also showed that adult female E. atra receiving less that three adult Drosophila melanogaster Meigen (Diptera) per day at 20 C produced fewer eggs than those provisioned at higher rates. In May and July, adult female E. atra in our study would have received about four prey items per day, which were mostly small Collembola. The biomass of prey available was probably therefore less than the equivalent of three Drosophila and reproduction is likely to have been suboptimal. The situation was different in June, when prey availability increased to 12 prey items per trap per day (c. 1 6 cm 2 ). The seasonal pattern of prey availability recorded in this study matches the seasonal pattern of hunger assayed by Bilde & Toft (1998) for the linyphiid spider Oedothorax apicatus (Blackwall) in a Danish winter wheat field. They recorded hunger equivalent to 7 days of starvation at 20 C in May and July, but a value of 3 4 days starvation during June. These results suggest that spiders are unlikely to exhibit prey preferences in May and July, when they may need to capture whatever they encounter in order to survive. In June, however, when prey availability is higher, it is possible that they will reject cereal aphids (which were found to be lesspreferred prey in laboratory trials; Toft 1995; Beck & Toft 2000) in favour of alternative prey. The number of potential prey caught per trap during a 4-week period was significantly greater in 1998 than in 1997 and this difference did not appear to be directly due to weather. However, different fields were investigated in the two years and so interfield variability may explain the observed differences. A full study of interfield variation of potential prey availability (using the methods developed here) would be worthwhile, as it might point to farming practices that are favourable and others that are deleterious in relation to fostering the alternative prey of generalist predators. This could include a comparison of winter and spring cereals, as plant taxa that are important food resources for arthropod herbivores (= potential prey for generalist predators) occur at greater densities in spring cereals (Hald 1999). The linyphiid spiders at our study sites were not locating their webs randomly with respect to the spatial distribution of their food. This was true for all fields and sampling methods in 1997 and More potential prey were available in the web sites of spiders than in random non-web sites located up to 30 cm away from the web. We do not have information at this stage to determine whether Linyphiidae are responding directly to food availability or whether their aggregation in prey-rich patches is a secondary outcome of a response to other microhabitat variables such as high humidity and structural complexity of the vegetation. Further studies would be useful, matching web and non-web sites within crop rows and within spaces between rows, for example. It is possible that linyphiids were simply responding passively to a lack of prey, relocating at random until they reached areas of high prey availability, where further movements were arrested. In fact, if Linyphiidae were selecting sites on the basis of quality, the results suggest that their efficiency in selecting high-quality web sites improved with progression of season. Our results justify a full study of the determinants of microhabitat selection by linyphiid spiders in winter wheat. There are examples in the literature of microhabitat selection being primarily driven by food, or microclimate, or physical structure of the microhabitat, or avoidance of conspecifics and enemies; the prime determinant varies with habitat and species of spider (Samu & Sunderland 1999; Sunderland & Samu 2000). The fine-grain variation in the distribution of linyphiids and their prey described in this study indicates that mini-sampling techniques can be valuable for investigating spatial dynamics and predator prey interactions in agro-ecosystems, especially for small sit-and-wait strategist predators. There are a growing number of studies of the spatial dynamics of predators and prey in agro-ecosystems that employ nested sampling grids at a range of degrees of resolution, suitable for analysis by new techniques such as Spatial Analysis by Distribution Indices (Perry 1995, 1998). For large, highly mobile, carabid beetles, grid scales ranging from 16 m down to 0 25 m have been demonstrated to be appropriate (Bohan et al. 2000). Our study suggests that for smaller, less-mobile, predators important information will be lost unless finer scales are also included. Therefore, the scale should be chosen according to the species being investigated. Numbers of both spiders and Entomobryidae (Collembola), captured by mini-sticky traps and mini-quadrats, increased logarithmically as the season progressed. At the same time, trap capture frequencies of isotomid Collembola ( Fig. 2c,d) showed a sharp decline in July, when spider activity density was at a maximum. While it is possible that predation by spiders (and other natural enemies) was affecting population densities of isotomid Collembola (see below) this does not explain why capture frequencies of the Entomobryidae continued to increase. One possible explanation is that the Entomobryidae have powerful protection mechanisms against predators (Bauer & Pfeiffer 1991). Figure 3 clearly indicates that entomobryid activity must have been very low, with relatively few encountering webs, because the cumulative capture rates (mini-sticky traps) over time were not significantly different from the instantaneous densities (mini-quadrats). This too could contribute to lower levels of predation. Alternatively, Entomobryidae could be a non-preferred prey item, as the nutritive value of different species of Collembola is known to vary (Toft & Nielsen 1997). However, a number of other factors could be responsible for the differential trends in capture rates for the

10 97 Web location by linyphiid spiders different groups of Collembola, including responses to changing climatic conditions, or some species of Collembola locating to different microhabitats such as the large cracks which appear in the soil late in the season. The negative relationship between numbers of spiders and Collembola captured by mini-sticky traps indicates that, as Collembola density decreases, spider activity density increases. Increases in predator activity, in response to reduced prey availability, have been found amongst other generalist predators such as carabid beetles (Chiverton 1984). However, increasing spider density may also be a factor. Although it is possible that the associations between Collembola and linyphiid numbers were in part a result of predation, quantitative immunological studies would be needed to confirm such a link in the field (Symondson et al. 1996; Bohan et al. 2000). A surprisingly large number of linyphiid spiders was captured on the mini-sticky traps. These were not the original web owners returning to the web site because we removed and killed them as a routine part of the sampling protocol. Peak linyphiid densities (including immatures) in winter wheat are typically about 100 m 2 (Dinter & Poehling 1992; Sunderland & Topping 1993; Volkmar et al. 1994), which is equal to one spider per 100 cm 2, or 0 08 spiders per trap. The actual capture rate per trap peaked at 0 6 linyphiids day 1 (web sites in July), which implies that either these spiders are extremely active throughout the field, or their activity is lower and concentrated in areas that they find attractive. Support for the latter hypothesis comes from the fact that peak capture rate on non-web mini-sticky traps was only 0 3 trap 1 day 1. Thus, the sampling programme has detected the aggregated and dynamic nature of spider distribution in winter wheat. The dynamic aspect is likely to be due to males searching for females, and females searching for new web sites. Male linyphiids are known to be, in general, more active than females, e.g. sex ratios in pitfall traps are strongly biased towards males (Sunderland 1987; Topping & Sunderland 1992), and they can be attracted to sex pheromones secreted onto web silk by the female (Watson 1986). Adult female linyphiids, such as L. tenuis, compete strongly for desirable web sites, a larger female being able to evict a smaller one. Web site abandonment from this and other causes results in the mean duration of an individual L. tenuis in a web site being less than 2 days (Samu et al. 1996). These mechanisms probably contributed to the high capture rate on mini-sticky traps and are also likely to have caused a fairly high encounter rate between individual spiders. Although, in general, spiders are highly cannibalistic (Edgar 1969; Wise 1993), it is known that web-weavers (including Linyphiidae) are much less so than hunters such as Lycosidae, Salticidae and Thomisidae (Nyffeler 1999), and so the encounters implied by the results from this study probably did not result in high rates of mortality. We suggest, however, that mini-sticky traps could, more generally, be a useful tool for quantitative arachnological investigations of intra- and interspecific interactions. This study has shown that money spiders locate their webs in prey-rich areas of winter wheat fields. In spite of this behaviour, which enables them to maximize their access to food, it seems likely that prey availability in May and July is not sufficiently great for them to realize fully their potential population growth rate. Studies are needed to find practical modifications to current farming practice that will achieve enhanced prey availability, especially at times of year when prey densities are low. The mini-sampling techniques developed here, especially when used in combination, will enable prey availability to be monitored more efficiently in such prey-enhancement studies. There is no certainty, however, that increased prey and spider density will always translate into improved pest control (Sunderland & Samu 2000). Indeed, the increased availability of high-quality alternative food could, to some extent, divert spiders from feeding on pests. Clearly, there is a need for manipulative field studies to investigate rigorously the interactions between spiders, pests and alternative prey before sound recommendations can be made to optimize the spider predation component of pest control. Acknowledgements We are very grateful to John Fenlon (HRI) for statistical advice, Sally Mann (HRI) for meteorological data, and Jørgen Axelsen (National Environmental Research Institute, Silkeborg, Denmark) for Collembola identification. J.D. Harwood was funded by a joint Cardiff University and HRI studentship, and K.D. Sunderland by the UK Ministry of Agriculture Fisheries and Food. References Alderweireldt, M. (1994a) Prey selection and prey capture strategies of linyphiid spiders in high-input agricultural fields. Bulletin of the British Arachnological Society, 9, Alderweireldt, M. (1994b) Day/night activity rhythms of spiders occurring in crop-rotated fields. European Journal of Soil Biology, 30, Bauer, T. & Pfeiffer, M. (1991) Shooting springtails with a sticky rod: the flexible hunting behaviour of Stenus comma (Coleoptera; Staphylinidae) and the counter-strategies of its prey. Animal Behaviour, 41, Beck, J.B. & Toft, S. (2000) Artificial selection for aphid tolerance in the polyphagous predator Lepthyphantes tenuis. Ecology, 37, Bilde, T. & Toft, S. (1998) Quantifying food limitation of arthropod predators in the field. Oecologia, 115, Bilde, T., Axelsen, J.A. & Toft, S. (2000) The value of Collembola from agricultural soils as food for a generalist predator. Ecology, 37, Bilsing, S.W. (1920) Quantitative studies in the food of spiders. Ohio Journal of Science, 20, Bohan, D.A., Bohan, A.C., Glen, D.M., Symondson, W.O.C., Wiltshire, C.W. & Hughes, L. (2000) Spatial dynamics of predation by carabid beetles on slugs. Journal of Animal Ecology, 69, Bradley, R.A. (1993) The influence of prey availability and habitat on activity patterns and abundance of Argiope

11 98 J.D. Harwood, K.D. Sunderland & W.O.C. Symondson keylersingi (Araneae: araneidae). Journal of Arachnology, 21, Chang, G.C. & Kareiva, P. (1999) The case for indigenous generalists in biological control. Theoretical Approaches to Biological Control (eds B.A. Hawkins & H.C. Cornell), pp Cambridge University Press, Cambridge, UK. Chiverton, P.A. (1984) Pitfall-trap catches of the carabid beetle Pterostichus melanarius, in relation to gut contents and prey densities, in insecticide treated and untreated spring barley. Entomologia Experimentalis et Applicata, 36, Chiverton, P.A. (1986) Predator density manipulation and its effects on populations of Rhopalosiphum padi (Hom., Aphididae) in spring barley. Annals of Applied Biology, 109, De Keer, R. & Maelfait, J.-P. (1987a) Laboratory observations on the development and reproduction of Oedothorax fuscus (Blackwall, 1834) (Araneida, Linyphiidae) under different conditions of temperature and food supply. Revue d Ecologie et de Biologie Du Sol, 24, De Keer, R. & Maelfait, J.-P. (1987b) Life history patterns of Oedothorax fuscus (Blackwall 1834) (Araneida, Linyphiidae) in a heavily grazed pasture. Revue d Ecologie et de Biologie Du Sol, 24, De Keer, R. & Maelfait, J.-P. (1988) Laboratory observations on the development and reproduction of Erigone atra Blackwall, 1833 (Araneae, Linyphiidae). Bulletin of the British Arachnological Society, 7, Dinter, A. & Poehling, H.M. (1992) Spider populations in winter wheat fields and the side-effects of insecticides. Aspects of Applied Biology, 31, Duffield, S.J., Jepson, P.C., Wratten, S.D. & Sotherton, N.W. (1996) Spatial changes in invertebrate predation rate in winter wheat following treatment with dimethoate. Entomologia Experimentalis et Applicata, 78, Edgar, W.D. (1969) Prey and predation of the wolf spider Lycosa lugubris. Journal of Zoology, 159, Edwards, C.A., Sunderland, K.D. & George, K.S. (1979) Studies on polyphagous predators of cereal aphids. Journal of Applied Ecology, 16, Ehler, L.E. (1998) Conservation biological control: past, present and future. Conservation Biological Control (ed. P. Barbosa), pp Academic Press, San Diego, CA. Fjellberg, A. (1980) Identification Guide to Norwegian Collembola. Utgitt av Norsk Entomologisk Forening, Stavanger, Norway. Gillespie, R.G. & Caraco, T. (1987) Risk-sensitive foraging strategies of two spider populations. Ecology, 68, Gillespie, R.G. & Tabashnik, B.E. (1994) Foraging behaviour of the Hawaiian happy face spider (Araneae: Therididae). Annals of the Entomological Society of America, 87, Hald, A.B. (1999) The impact of changing the season in which cereals are sown on the diversity of the weed seed flora in rotational fields in Denmark. Ecology, 36, Hodge, M.A. & Storfer-Isser, A. (1997) Conspecific and heterospecific attraction: a mechanism of web-site selection leading to aggregation formation by web-building spiders. Ethology, 103, Holland, J.M. & Thomas, S.R. (1997) Quantifying the impact of polyphagous invertebrate predators in controlling cereal aphids and in preventing wheat yield and quality reductions. Annals of Applied Biology, 131, Jmhasly, P. & Nentwig, W. (1995) Habitat management in winter wheat and evaluation of subsequent spider predation on insect pests. Acta Oecologica, 16, Kajak, A. (1965) An analysis of food relationships between the spiders Araneus cornutus and A. quadratus and their prey in meadows. Ekologia Polska, 13, Leathwick, D.M. & Winterbourn, M.J. (1984) Arthropod predation on aphids in a lucerne crop. New Zealand Entomologist, 8, Leborgne, R. & Pasquet, A. (1987) Influence of conspecific silk-structures on the choice of web-site by the spider Zygiella x-notata. Revue Arachnologique, 7, McNett, B.J. & Rypstra, A.L. (1997) Effects of prey supplementation on survival and web site tenacity of Argiope trifasciata (Araneae, Araneidae): a field experiment. Journal of Arachnology, 25, Marshall, S.D. (1997) The ecological determinants of space use by a burrowing wolf spider in a xeric shrubland ecosystem. Journal of Arid Environments, 37, Moreby, S.J., Aebischer, N.J., Southway, S.E. & Sotherton, N.W. (1994) A comparison of the flora and arthropod fauna of organically and conventionally grown winter wheat in southern England. Annals of Applied Biology, 125, Murdoch, W.W., Chesson, J. & Chesson, P.L. (1985) Biological control in theory and practice. American Naturalist, 125, Nentwig, W. (1982) Epigeic spiders, their potential prey and competitors: relationship between size and frequency. Oecologia, 55, Nyffeler, M. (1999) Prey selection of spiders in the field. Journal of Arachnology, 27, Nyffeler, M. & Benz, G. (1988) Prey and predatory importance of micryphantid spiders in winter wheat fields and hay meadows. Entomology, 105, Perry, J.N. (1995) Spatial analysis by distance indices. Journal of Animal Ecology, 64, Perry, J.N. (1998) Measures of spatial patterns for counts. Ecology, 79, Pimentel, D. (1995) Ecological theory, pest problems, and biologically based solutions. Ecology and Integrated Farming Systems (eds D.M. Glen, M.P. Greaves & H.M. Anderson), pp John Wiley, Chichester, UK. Potts, G.R. & Vickerman, G.P. (1974) Studies on the cereal agroecosystem. Advances in Ecological Research, 8, Riechert, S.E. (1991) Prey abundance vs diet breadth in a spider test system. Evolutionary Ecology, 5, Samu, F. & Sunderland, K.D. (1999) Scale oriented examination of factors affecting the distribution and abundance of spiders in agricultural systems: a review. Journal of Arachnology, 27, Samu, F., Sunderland, K.D., Topping, C.J. & Fenlon, J.S. (1996) A spider population in flux: selection and abandonment of artificial web-sites and the importance of interspecific interactions in Lepthyphantes tenuis (Araneae: Linyphiidae) in wheat. Oecologia, 106, Schaefer, M. (1978) Some experiments on the regulation of population density in the spider Floronia bucculenta (Araneida: Linyphiidae). Symposia of the Zoological Society of London, 42, Schütt, K. (1995) Drapestica socialis (Araneae: Linyphiidae): web reduction ethological and morphological adaptations. European Journal of Entomology, 92, Settle, W.H., Ariawan, H., Astuti, E.T., Cahyana, W., Hakim, A.L., Hindayana, D., Lestari, A.S. & Pajarningsih (1996) Managing tropical rice pests through conservation of generalist natural enemies and alternative prey. Ecology, 77, Sopp, P.I., Sunderland, K.D. & Coombes, D.S. (1987) Observations on the number of cereal aphids on the soil in relation to aphid density in winter wheat. Annals of Applied Biology, 111, Sunderland, K.D. (1987) Spiders and cereal aphid in Europe. Bulletin SROP/WPRS, 1987/X/1, Sunderland, K.D. (1996) Progress in quantifying predation using antibody techniques. The Ecology of Agricultural Pests: Biochemical Approaches (eds W.O.C. Symondson & J.E. Liddell), pp The Systematics Association Special Volume Series, No. 53. Chapman & Hall, London, UK.

12 99 Web location by linyphiid spiders Sunderland, K.D. (1999) Mechanisms underlying the effects of spiders on pest populations. Journal of Arachnology, 27, Sunderland, K.D. & Samu, F. (2000) Effects of agricultural diversification on the abundance, distribution, and pest control potential of spiders, with reference to spatial scale: a review. Entomologia Experimentalis et Applicata, 95, Sunderland, K.D. & Topping, C.J. (1993) The spatial dynamics of linyphiid spiders in winter wheat. Memoirs of the Queensland Museum, 33, Sunderland, K.D. & Topping, C.J. (1995) Estimating population densities of spiders in cereals. Acta Jutlandica, 70, Sunderland, K.D., Axelsen, J.A., Dromph, K., Freier, B., Hemptinne, J.-L., Holst, N.H., Mols, P.J.M., Petersen, M.K., Powell, W., Ruggle, P., Triltsch, H. & Winder, L. (1997) Pest control by a community of natural enemies. Acta Jutlandica, 72, Sunderland, K.D., Crook, N.E., Stacey, D.L. & Fuller, B.J. (1987) A study of feeding by polyphagous predators on cereal aphids using ELISA and gut dissection. Journal of Applied Ecology, 24, Sunderland, K.D., De Snoo, G.R., Dinter, A., Hance, T., Helenius, J., Jepson, P., Kromp, B., Lys, J.A., Samu, F., Sotherton, N.W., Toft, S. & Ulber, B. (1995) Density estimation for invertebrate predators in agroecosystems. Acta Jutlandica, 70, Sunderland, K.D., Fraser, A.M. & Dixon, A.F.G. (1986a) Distribution of linyphiid spiders in relation to capture of prey in cereal fields. Pedobiologia, 29, Sunderland, K.D., Fraser, A.M. & Dixon, A.F.G. (1986b) Field and laboratory studies on money spiders (Linyphiidae) as predators of cereal aphids. Ecology, 23, Sunderland, K.D., Topping, C.J., Ellis, S., Long, S., Van de Laak, S. & Else, M. (1996) Reproduction and survival of linyphiid spiders, with special reference to Lepthyphantes tenuis (Blackwall). Acta Jutlandica, 71, Symondson, W.O.C., Glen, D.M., Wiltshire, C.W., Langdon, C.J. & Liddell, J.E. (1996) Effects of cultivation techniques and methods of straw disposal on predation by Pterostichus melanarius (Coleoptera: Carabidae) upon slugs (Gastropods: Pulmonata) in an arable field. Ecology, 33, Thomas, M.R., Garthwaite, D.G. & Banham, A.R. (1996) Arable Farm Crops in Great Britain: Pesticide Usage Survey Report 141. Ministry of Agriculture Fisheries and Food, York, UK. Thornhill, W.A. (1983) The distribution and probable importance of linyphiid spiders living on the soil surface of sugar beet fields. Bulletin of the British Arachnological Society, 6, Toft, S. (1995) Value of the aphid Rhopalosiphum padi as food for cereal spiders. Ecology, 32, Toft, S. & Nielsen, S.A. (1997) Influence of diet quality on the respiratory metabolism of a wolf spider Pardosa prativaga. Proceedings of the 16th European Colloquium of Arachnology 1996, Siedlce, Poland (ed. M. Zabka), pp Wyzsza Skola Rolniczo-Pedagogiczna, Siedlce, Poland. Topping, C.J. & Sunderland, K.D. (1992) Limitations to the use of pitfall traps in ecological studies exemplified by a study of spiders in a field of winter wheat. Ecology, 29, Topping, C.J. & Sunderland, K.D. (1998) Population dynamics and dispersal of Lepthyphantes tenuis in an ephemeral habitat. Entomologia Experimentalis et Applicata, 87, Vickerman, G.P. & Sunderland, K.D. (1975) Arthropods in cereal crops: nocturnal activity, vertical distribution and aphid predation. Ecology, 12, Volkmar, C., Bothe, S., Kreuter, T., Lübke-Al Hussein, M., Richter, L., Heimbach, U. & Wetzel, T. (1994) Epigäische Raubarthropoden in Winterweizenbeständen Mitteldeutschlands und ihre Beziehung zu Blattläusen. Mitteilungen Aus der Biologischen Budesanstalt für Land- und Forstwirtschaft, 299, Vollrath, F. (1985) Web spider s dilemma: a risky move or site dependent growth. Oecologia, 68, Watson, P.J. (1986) Transmission of female sex pheromone thwarted by males in the spider Linyphia litigiosa (Linyphiidae). Science, 233, Wise, D.H. (1993) Spiders in Ecological Webs. Cambridge University Press, Cambridge, UK. Received 9 October 1999; revision received 6 June 2000

Spatio-temporal population dynamics of agrobiont linyphiid spiders

Spatio-temporal population dynamics of agrobiont linyphiid spiders National Environmental Research Institute Ministry of the Environment. Denmark Spatio-temporal population dynamics of agrobiont linyphiid spiders PhD thesis Pernille Thorbek [Blank page] National Environmental

More information

Introduction to Integrated Pest Management. John C. Wise, Ph.D. Michigan State University MSU Trevor Nichols Research Complex

Introduction to Integrated Pest Management. John C. Wise, Ph.D. Michigan State University MSU Trevor Nichols Research Complex Introduction to Integrated Pest Management John C. Wise, Ph.D. Michigan State University MSU Trevor Nichols Research Complex What is Integrated Pest Management? Integrated Pest Management (IPM) New concept;

More information

ECONOMIC INJURY LEVEL (EIL) AND ECONOMIC THRESHOLD (ET) CONCEPTS IN PEST MANAGEMENT. David G. Riley University of Georgia Tifton, Georgia, USA

ECONOMIC INJURY LEVEL (EIL) AND ECONOMIC THRESHOLD (ET) CONCEPTS IN PEST MANAGEMENT. David G. Riley University of Georgia Tifton, Georgia, USA ECONOMIC INJURY LEVEL (EIL) AND ECONOMIC THRESHOLD (ET) CONCEPTS IN PEST MANAGEMENT David G. Riley University of Georgia Tifton, Georgia, USA One of the fundamental concepts of integrated pest management

More information

DOES THE PRESENCE OF POTENTIAL PREY AFFECT WEB DESIGN IN ARGIOPE KEYSERLINGI (ARANEAE, ARANEIDAE)?

DOES THE PRESENCE OF POTENTIAL PREY AFFECT WEB DESIGN IN ARGIOPE KEYSERLINGI (ARANEAE, ARANEIDAE)? 2000. The Journal of Arachnology 28:346 350 DOES THE PRESENCE OF POTENTIAL PREY AFFECT WEB DESIGN IN ARGIOPE KEYSERLINGI (ARANEAE, ARANEIDAE)? Marie E. Herberstein, Anne C. Gaskett, Deborah Glencross,

More information

COTTON RESEARCH AND DEVELOPMENT CORPORATION

COTTON RESEARCH AND DEVELOPMENT CORPORATION '\,. COTTON RESEARCH AND DEVELOPMENT CORPORATION Project title: Assessing the effectiveness of Helicoverpa predators Project Number: UNE13C Research Organisation: University of New England Principal researcher:

More information

Epigeic terrestrial invertebrates as indicators of environmental changes on a European scale

Epigeic terrestrial invertebrates as indicators of environmental changes on a European scale ALARM Field Site Network (FSN) Project of Partner UBern within FSN Epigeic terrestrial invertebrates as indicators of environmental changes on a European scale Ground-dwelling terrestrial arthropods represent

More information

Wildflower strips: A help for crop protection?

Wildflower strips: A help for crop protection? UNIVERSITE DE LIÈGE Gembloux Agro-Bio Tech Séverin HATT 1 *, Roel UYTTENBROECK 1, Bernard BODSON 2, Arnaud MONTY 3, Frédéric FRANCIS 4 1 AgricultureIsLife.be, Gembloux Agro-Biotech (ULg), 2 Crop Science

More information

Integrated Pest Management

Integrated Pest Management Chapter 2 Integrated Pest Management In This Chapter Keywords After learning the information in this chapter, you will be able to: 1. Define Integrated Pest Management (IPM). 2. List and describe the 5

More information

Factors influencing the size of the orb web in Araneus diadematus

Factors influencing the size of the orb web in Araneus diadematus Proc. 16th Europ. ColI. Arachnol. 329-334 Siedlce, 10.03.1997 Factors influencing the size of the orb web in Araneus diadematus Samuel ZSCHOKKE Department of Zoology, South Parks Road, Oxford, OXI 3PS,

More information

INTEGRATED PEST MANAGEMENT SYSTEM FOR KENNESAW STATE UNIVERSITY

INTEGRATED PEST MANAGEMENT SYSTEM FOR KENNESAW STATE UNIVERSITY INTEGRATED PEST MANAGEMENT SYSTEM FOR KENNESAW STATE UNIVERSITY KENNESAW, GEORGIA PREPARED JANUARY 1997 REVISED NOVEMBER 2006 TABLE OF CONTENTS Introduction and Principles of Integrated Pest Management

More information

What is a pest? How Insects Become Pests. How do insects become pests? Problems with Pesticides. What is most commonly used to control insect pests?

What is a pest? How Insects Become Pests. How do insects become pests? Problems with Pesticides. What is most commonly used to control insect pests? What is a pest? How Insects Become Pests How do insects become pests? Introduction outside of native range Becomes disease vector Plant or animal (inclu. human) disease vector Host shift in native insect

More information

Upscaling of locally proven IPM technologies for control of pest of economic importance i

Upscaling of locally proven IPM technologies for control of pest of economic importance i Technology Fact Sheet for Adaptation Upscaling of locally proven IPM technologies for control of pest of economic importance i Technology: Upscaling of locally proven IPM technologies for control of pest

More information

MATERIAL AND METHODS Plant and animal material Experimental design Data analysis RESULTS Behaviour of C. septempuncta 476

MATERIAL AND METHODS Plant and animal material Experimental design Data analysis RESULTS Behaviour of C. septempuncta 476 et al., 1981a,c) and predators were free to leave a host plant at any time. The interactions between predator and prey were quantified and the fate of the aphids in the colony was noted. MATERIAL AND METHODS

More information

Introduction to protection goals, ecosystem services and roles of risk management and risk assessment. Lorraine Maltby

Introduction to protection goals, ecosystem services and roles of risk management and risk assessment. Lorraine Maltby Introduction to protection goals, ecosystem services and roles of risk management and risk assessment. Lorraine Maltby Problem formulation Risk assessment Risk management Robust and efficient environmental

More information

REVIEW UNIT 10: ECOLOGY SAMPLE QUESTIONS

REVIEW UNIT 10: ECOLOGY SAMPLE QUESTIONS Period Date REVIEW UNIT 10: ECOLOGY SAMPLE QUESTIONS A. Sample Multiple Choice Questions Complete the multiple choice questions to review this unit. 1. All of the following are density-dependent factors

More information

BENEFITS OF USING IPM

BENEFITS OF USING IPM Edward J. Bechinski and William H. Bohl Potato growers who use IPM consider all available pest control tools. Alternatives to conventional pesticides are the foundation of every IPM plan. Pesticides play

More information

suscon Green One application. 3 years control against grass grub. Grass grub damaged pasture

suscon Green One application. 3 years control against grass grub. Grass grub damaged pasture suscon Green One application. 3 years control against grass grub. Grass grub damaged pasture suscon Green is a dust free, controlled release granule that controls Grass Grub in newly established pasture

More information

Application of ecological models in entomology: a view from Brazil

Application of ecological models in entomology: a view from Brazil Application of ecological models in entomology: a view from Brazil Wesley A. C. Godoy University of São Paulo "Luiz de Queiroz" College of Agriculture Piracicaba, São Paulo, Brazil - [email protected] Working

More information

AP ENVIRONMENTAL SCIENCE 2012 SCORING GUIDELINES

AP ENVIRONMENTAL SCIENCE 2012 SCORING GUIDELINES AP ENVIRONMENTAL SCIENCE 2012 SCORING GUIDELINES Question 3 The active ingredients in many pesticides are chemical compounds that kill organisms such as insects, molds, and weeds. Proponents claim that

More information

PEST IDENTIFICATION. PMA 4570/6228 Lab 1 July 3 2014

PEST IDENTIFICATION. PMA 4570/6228 Lab 1 July 3 2014 PEST IDENTIFICATION PMA 4570/6228 Lab 1 July 3 2014 Steps towards a successful IPM program 1. Correct identification 2. Monitoring 3. Economic thresholds 4. Choice of optimum pest control option Pests

More information

NATURE AND SCOPE OF BIOLOGICAL CONTROL

NATURE AND SCOPE OF BIOLOGICAL CONTROL Biological Control of Pests, ENTO 675, UH-Manoa, Fall 2000, M. W. Johnson 1 NATURE AND SCOPE OF BIOLOGICAL CONTROL I. DEFINITIONS A. H. S. Smith (1919) first used term "biological control" to signify the

More information

Chapter D9. Irrigation scheduling

Chapter D9. Irrigation scheduling Chapter D9. Irrigation scheduling PURPOSE OF THIS CHAPTER To explain how to plan and schedule your irrigation program CHAPTER CONTENTS factors affecting irrigation intervals influence of soil water using

More information

Ecology and Simpson s Diversity Index

Ecology and Simpson s Diversity Index ACTIVITY BRIEF Ecology and Simpson s Diversity Index The science at work Ecologists, such as those working for the Environmental Agency, are interested in species diversity. This is because diversity is

More information

Integrated Pest Management (IPM)

Integrated Pest Management (IPM) Integrated Pest Management (IPM) in crops and pastures Integrated Pest Management (IPM) means using a combination of biological, cultural and chemical control methods to manage pest problems. The term

More information

Farming. In the Standard Grade Geography exam there are three types of farming you need to know about arable, livestock and mixed.

Farming. In the Standard Grade Geography exam there are three types of farming you need to know about arable, livestock and mixed. Types of Farming In the Standard Grade Geography exam there are three types of farming you need to know about arable, livestock and mixed. Arable farms are ones where the main way of making money is by

More information

Research to improve the use and conservation of agricultural biodiversity for smallholder farmers

Research to improve the use and conservation of agricultural biodiversity for smallholder farmers Research to improve the use and conservation of agricultural biodiversity for smallholder farmers Agricultural biodiversity the variability of crops and their wild relatives, trees, animals, arthropods,

More information

Ecologically based weed management! Chuck Mohler! Cornell University!

Ecologically based weed management! Chuck Mohler! Cornell University! Ecologically based weed management! Chuck Mohler! Cornell University! Outline! Understanding weeds! Behavior of wandering perennials! Tillage and emergence cues! Life and death of weed seeds in the soil!

More information

PRESCRIBED GRAZING NATURAL RESOURCES CONSERVATION SERVICE CONSERVATION PRACTICE STANDARD. (Acre) Code 528

PRESCRIBED GRAZING NATURAL RESOURCES CONSERVATION SERVICE CONSERVATION PRACTICE STANDARD. (Acre) Code 528 NATURAL RESOURCES CONSERVATION SERVICE CONSERVATION PRACTICE STANDARD PRESCRIBED GRAZING (Acre) Code 528 DEFINITION Managing the harvest of vegetation with grazing and/or browsing animals. PURPOSE Improve

More information

Integrated Pest Management: Principles & Practice. Dr. Ana Legrand Connecticut IPM Program University of Connecticut

Integrated Pest Management: Principles & Practice. Dr. Ana Legrand Connecticut IPM Program University of Connecticut Integrated Pest Management: Principles & Practice Dr. Ana Legrand Connecticut IPM Program University of Connecticut Integrated Pest Management IPM is the selection, integration and implementation of pest

More information

Section 5.1 Food chains and food webs

Section 5.1 Food chains and food webs Section 5.1 Food chains and food webs The ultimate source of energy in an ecosystem comes from sunlight This energy is converted to an organic form using photosynthesis which is then passed between organisms

More information

Integrated Pest Management

Integrated Pest Management Integrated Pest Management Ecology and Human Impact R. Bruce Chapman Insect Science Ltd Pest organisms When do organisms become pests? When an organism s population exceeds a threshold level, and control

More information

Least Squares Estimation

Least Squares Estimation Least Squares Estimation SARA A VAN DE GEER Volume 2, pp 1041 1045 in Encyclopedia of Statistics in Behavioral Science ISBN-13: 978-0-470-86080-9 ISBN-10: 0-470-86080-4 Editors Brian S Everitt & David

More information

Everything You Wanted to Know About Spiders!

Everything You Wanted to Know About Spiders! Everything You Wanted to Know About Spiders! How do spiders fit into the Animal Kingdom? Spiders are arthropods, a group of invertebrates containing insects, crustaceans, millipedes, centipedes, arachnids

More information

Chapter 1: Integrated Pest Management (IPM)

Chapter 1: Integrated Pest Management (IPM) Chapter 1: Integrated Pest Management (IPM) Introduction Pests are an inevitable problem faced by nursery growers. For the purposes of this document, the term pest refers to insects, diseases, weeds, slugs,

More information

The Alfalfa Weevil in Utah

The Alfalfa Weevil in Utah Page 1 of 5 The Alfalfa Weevil in Utah Fact Sheet No. 58 January 1989 Edward W. Evans Extension Entomologist Introduction The alfalfa weevil is a major pest throughout Utah. It is a beetle with one generation

More information

HOW TO ASSESS NON-TARGET EFFECTS OF POLYPHAGOUS BIOLOGICAL CONTROL AGENTS: TRICHOGRAMMA BRASSICAE AS A CASE STUDY

HOW TO ASSESS NON-TARGET EFFECTS OF POLYPHAGOUS BIOLOGICAL CONTROL AGENTS: TRICHOGRAMMA BRASSICAE AS A CASE STUDY Assessing Non-Target Effects of Polyphagous Biological Control Agents HOW TO ASSESS NON-TARGET EFFECTS OF POLYPHAGOUS BIOLOGICAL CONTROL AGENTS: TRICHOGRAMMA BRASSICAE AS A CASE STUDY Dirk BABENDREIER

More information

Fungal Entomopathogens: An Enigmatic Pest Control Alternative

Fungal Entomopathogens: An Enigmatic Pest Control Alternative Fungal Entomopathogens: An Enigmatic Pest Control Alternative Nicole Rusconi $ and Cerruti R 2 Hooks! $ Student Research Assistant and 1 Associate Professor and Extension Specialist, University of Maryland

More information

CORN IS GROWN ON MORE ACRES OF IOWA LAND THAN ANY OTHER CROP.

CORN IS GROWN ON MORE ACRES OF IOWA LAND THAN ANY OTHER CROP. CORN IS GROWN ON MORE ACRES OF IOWA LAND THAN ANY OTHER CROP. Planted acreage reached a high in 1981 with 14.4 million acres planted for all purposes and has hovered near 12.5 million acres since the early

More information

PEST MANAGEMENT (CSP Enhancements) January 2006 Enhancement Activity Task Sheet

PEST MANAGEMENT (CSP Enhancements) January 2006 Enhancement Activity Task Sheet Reduced risks to ground and surface water quality Lower costs by limiting chemical applications to only when necessary To learn more about Integrated Pest Management go to the following website: http://extension.usu.edu/files/gardpubs/ipm01.pdf

More information

The need for longitudinal study of the dual roles of insects as pests and food resources in agroecosystems

The need for longitudinal study of the dual roles of insects as pests and food resources in agroecosystems THE H. R. MacCARTHY LECTURE COMMITTEE IS PLEASED TO PRESENT THE 15 TH ANNUAL H. R. MacCARTHY PEST MANAGEMENT LECTURE ENTITLED The need for longitudinal study of the dual roles of insects as pests and food

More information

From known to unknown

From known to unknown Risks associated with Chemical and Non-Chemical Pest Control From known to unknown Paul Leonard Nov 2009 Agenda 1. EU non-chemical pest control legislation? 2. What do we know about risks associated with

More information

Culture in field conditions - Challenges A South American point of view Roberto Campos Pura Natura, Argentina

Culture in field conditions - Challenges A South American point of view Roberto Campos Pura Natura, Argentina A South American point of view Roberto Campos Pura Natura, Argentina EUSTAS 6 th Stevia Symposium Leuven, July 3 rd and 4 th I. Area of cultivation II. Environment III. Production of seedlings IV. Planting

More information

INTEGRATED PEST CONTROL

INTEGRATED PEST CONTROL 19 TOPIC 3 INTEGRATED PEST CONTROL Scope Chemical pesticides are now the traditional solution to pest problems, and they have saved lives and crops. Their use, however, has created significant problems,

More information

Academic Offerings. Agriculture

Academic Offerings. Agriculture Academic Offerings This section contains descriptions of programs, majors, minors, areas of concentration, fields of specialization, and courses. Semesters following course titles indicate when each course

More information

Removal fishing to estimate catch probability: preliminary data analysis

Removal fishing to estimate catch probability: preliminary data analysis Removal fishing to estimate catch probability: preliminary data analysis Raymond A. Webster Abstract This project examined whether or not removal sampling was a useful technique for estimating catch probability

More information

Total Course Hours. Semester Degree code. ID Course Name Professor Course Content Summary. 90 1 st 11070

Total Course Hours. Semester Degree code. ID Course Name Professor Course Content Summary. 90 1 st 11070 LEA0170 Invertebrate Zoology I Italo Delalibera Junior Characterization and importance of the Porifera, Cnidaria, Platyhelminthes, Nemata, Mollusca, Annelida, Echinodermata phyla and smaller invertebrate

More information

THE ECOSYSTEM - Biomes

THE ECOSYSTEM - Biomes Biomes The Ecosystem - Biomes Side 2 THE ECOSYSTEM - Biomes By the end of this topic you should be able to:- SYLLABUS STATEMENT ASSESSMENT STATEMENT CHECK NOTES 2.4 BIOMES 2.4.1 Define the term biome.

More information

The Impact of Wind Power on Day-ahead Electricity Prices in the Netherlands

The Impact of Wind Power on Day-ahead Electricity Prices in the Netherlands The Impact of Wind Power on Day-ahead Electricity Prices in the Netherlands Frans Nieuwenhout #1, Arno Brand #2 # Energy research Centre of the Netherlands Westerduinweg 3, Petten, the Netherlands 1 [email protected]

More information

FORESTED VEGETATION. forests by restoring forests at lower. Prevent invasive plants from establishing after disturbances

FORESTED VEGETATION. forests by restoring forests at lower. Prevent invasive plants from establishing after disturbances FORESTED VEGETATION Type of strategy Protect General cold adaptation upland and approach subalpine forests by restoring forests at lower Specific adaptation action Thin dry forests to densities low enough

More information

What is Integrated Pest Management?

What is Integrated Pest Management? SLIDE 1: This is Steve Johnson, University of Maine Cooperative Extension, bringing you information on Integrated Pest Management. It is possible to receive a Maine Board of Pesticides Control recertification

More information

Lesson 3: Fish Life Cycle

Lesson 3: Fish Life Cycle Lesson 3: Fish Life Cycle Activity: Diagram fish life cycle. Grade level: 4-8 Subjects: Science, social studies Setting: Classroom Duration: 50 minutes Key Terms: Fry, life cycle, life history, spawn,

More information

1211PSS 232 Biological Control Tu Th 11:30-12:45 Aiken 112

1211PSS 232 Biological Control Tu Th 11:30-12:45 Aiken 112 1211PSS 232 Biological Control Tu Th 11:30-12:45 Aiken 112 Instructor: Dr. Yolanda Chen Office: Jeffords 209 Office Hours: W 11:00-12:30, or by appointment Email: [email protected] Phone: (802) 656-2627

More information

Entomology 101 Integrated Pest Management IPM. Terminology Related to Pests. Types of damage. Strategies of Pest Control or Management

Entomology 101 Integrated Pest Management IPM. Terminology Related to Pests. Types of damage. Strategies of Pest Control or Management Entomology 101 Integrated Pest Management IPM David J. Shetlar, Ph.D. The BugDoc The Ohio State University, OARDC & OSU Extension Columbus, OH November, 2009, D.J. Shetlar, all rights reserved The evolution

More information

Grasshopper and Bean Leaf Beetle

Grasshopper and Bean Leaf Beetle FS 905 Economic Thresholds in Soybeans Grasshopper and Bean Leaf Beetle Michael A. Catangui, Ph.D. Extension entomologist & assistant professor Plant Science Department South Dakota State University Economic

More information

Biodiversity Concepts

Biodiversity Concepts Biodiversity Concepts WHAT IS BIODIVERSITY? Biodiversity is the variety of life on Earth. For any kind of animal or plant each individual is not exactly the same as any other; nor are species or ecosystems.

More information

GCSE BITESIZE Examinations

GCSE BITESIZE Examinations GCSE BITESIZE Examinations General Certificate of Secondary Education AQA SCIENCE A BLY1B Unit Biology B1b (Evolution and Environment) AQA BIOLOGY Unit Biology B1b (Evolution and Environment) FOUNDATION

More information

Population Ecology. Life History Traits as Evolutionary Adaptations

Population Ecology. Life History Traits as Evolutionary Adaptations Population Ecology An Overview of Population Ecology Population ecology is the study of factors that affect population: Density Growth A population is a group of individuals of a single species that occupy

More information

Welcome and introduction i to AU Research Centre Flakkebjerg

Welcome and introduction i to AU Research Centre Flakkebjerg Workshop AU Flakkebjerg 22.09.2012 Welcome and introduction i to AU Research Centre Flakkebjerg Head of Research Section Entomology & Plant Pathology præsen TATION Welcome networking on Systemic approaches

More information

Bachelor of Agricultural Business Management Course Structure 2015

Bachelor of Agricultural Business Management Course Structure 2015 Bachelor of Agricultural Business Management Course Structure 2015 The Charles Sturt University, Bachelor of Agricultural Business Management is a prescribed course with details of curriculum etc. available

More information

ENERGY IN FERTILIZER AND PESTICIDE PRODUCTION AND USE

ENERGY IN FERTILIZER AND PESTICIDE PRODUCTION AND USE Farm Energy IQ Conserving Energy in Nutrient Use and Pest Control INTRODUCTION Fertilizers and pesticides are the most widely used sources of nutrients and pest control, respectively. Fertilizer and pesticides

More information

Maintenance of Diversity

Maintenance of Diversity Maintenance of Diversity 1. Succession 2. Loss of Diversity 3. General Mechanisms that Maintain Diversity 4. Specific Mechanisms that Maintain Diversity Maintenance of species diversity 1. Ecological succession

More information

1. Biodiversity & Distribution of Life

1. Biodiversity & Distribution of Life National 5 Biology Unit 3 Life on Earth Summary notes 1. Biodiversity & Distribution of Life Perhaps the best place to start in this topic is with Biomes. Biomes are regions of our planet which have a

More information

Class Insecta - The insects

Class Insecta - The insects A Introduction 1. Very species rich 2. Characteristics a. 3 pairs of legs b. 2 pairs of wings (most) except flies (1 pair of wings - Diptera) B. Distribution 1. All habitats except saltwater - replaced

More information

Promoting Pollination Farming for Native Bees

Promoting Pollination Farming for Native Bees Promoting Pollination Farming for Native Bees Overview Pollination, the transfer of pollen grains to fertilize the ovules of flowers to produce seeds and fruits, is essential to agriculture and natural

More information

PREDATION OF CITRUS RED MITE (PANONYCHUS CITRI) BY STETHORUS SP. AND AGISTEMUS LONGISETUS

PREDATION OF CITRUS RED MITE (PANONYCHUS CITRI) BY STETHORUS SP. AND AGISTEMUS LONGISETUS PREDATION OF CITRUS RED MITE (PANONYCHUS CITRI) BY STETHORUS SP. AND AGISTEMUS LONGISETUS The Horticulture and Food Research Institute of New Zealand Limited, Private Bag 92169, Auckland, New Zealand Corresponding

More information

-1 7.04 Propagules adapted to wind dispersal n. -1 7.05 Propagules water dispersed n

-1 7.04 Propagules adapted to wind dispersal n. -1 7.05 Propagules water dispersed n Australia/New Zealand Weed Risk Assessment adapted for Florida. Data used for analysis published in: Gordon, D.R., D.A. Onderdonk, A.M. Fox, R.K. Stocker, and C. Gantz. 2008. Predicting Invasive Plants

More information

THE KILL DATE AS A MANAGEMENT TOOL TO INCREASE COVER CROPS BENEFITS IN WATER QUALITY & NITROGEN RECYCLING

THE KILL DATE AS A MANAGEMENT TOOL TO INCREASE COVER CROPS BENEFITS IN WATER QUALITY & NITROGEN RECYCLING THE KILL DATE AS A MANAGEMENT TOOL TO INCREASE COVER CROPS BENEFITS IN WATER QUALITY & NITROGEN RECYCLING María ALONSO-AYUSO José Luis GABRIEL Miguel QUEMADA Technical University of Madrid (Spain) INDEX

More information

WILLOCHRA BASIN GROUNDWATER STATUS REPORT 2009-10

WILLOCHRA BASIN GROUNDWATER STATUS REPORT 2009-10 WILLOCHRA BASIN GROUNDWATER STATUS REPORT 2009-10 SUMMARY 2009-10 The Willochra Basin is situated in the southern Flinders Ranges in the Mid-North of South Australia, approximately 50 km east of Port Augusta

More information

Pest Management - Holistic Pest Control?

Pest Management - Holistic Pest Control? Pest Management - Holistic Pest Control? 2. Modern control tactics and the birth of IPM The action of parasites, predators, and pathogens in maintaining another organism s density at a lower average than

More information

Recommended Resources: The following resources may be useful in teaching

Recommended Resources: The following resources may be useful in teaching Unit D: Controlling Pests and Diseases in the Orchard Lesson 1: Managing and Controlling Pests of Fruit and Nut Crops Student Learning Objectives: Instruction in this lesson should result in students achieving

More information

THE SCIENCE THE FUTURE OF CANADIAN CANOLA: APPLY THE SCIENCE OF AGRONOMICS TO MAXIMIZE GENETIC POTENTIAL.

THE SCIENCE THE FUTURE OF CANADIAN CANOLA: APPLY THE SCIENCE OF AGRONOMICS TO MAXIMIZE GENETIC POTENTIAL. THE SCIENCE THE FUTURE OF CANADIAN CANOLA: APPLY THE SCIENCE OF AGRONOMICS TO MAXIMIZE GENETIC POTENTIAL. WHERE WE HAVE BEEN CANOLA PRODUCTION HAS SURPASSED THE INDUSTRY TARGET OF 15 MMT. This was achieved

More information

The Soil Food Web and Pest Management

The Soil Food Web and Pest Management The Soil Food Web and Pest Management Mary Barbercheck, Department of Entomology, 501 ASI Building, Penn State University, University Park, PA, 16802 Tel. (814)863-2982 [email protected] New England Vegetable

More information

Logistic Paradigm. Logistic Paradigm. Paradigms. How should we consider them?

Logistic Paradigm. Logistic Paradigm. Paradigms. How should we consider them? Harvesting Paradigms Sustained Yield Harvesting Paradigms Net-Annual Increment Paradigm The Myth of MSY How should we consider them? The logistic paradigm obviously arises from logistic model. Says that

More information

VOLATILITY AND DEVIATION OF DISTRIBUTED SOLAR

VOLATILITY AND DEVIATION OF DISTRIBUTED SOLAR VOLATILITY AND DEVIATION OF DISTRIBUTED SOLAR Andrew Goldstein Yale University 68 High Street New Haven, CT 06511 [email protected] Alexander Thornton Shawn Kerrigan Locus Energy 657 Mission St.

More information

COTTON WATER RELATIONS

COTTON WATER RELATIONS COTTON WATER RELATIONS Dan R. Krieg 1 INTRODUCTION Water is the most abundant substance on the Earth s surface and yet is the most limiting to maximum productivity of nearly all crop plants. Land plants,

More information

ARCHITECTURAL FEATURES OF AGRICULTURAL HABITATS AND THEIR IMPACT ON THE SPIDER INHABITANTS

ARCHITECTURAL FEATURES OF AGRICULTURAL HABITATS AND THEIR IMPACT ON THE SPIDER INHABITANTS 1999. The Journal of Arachnology 27:371 377 ARCHITECTURAL FEATURES OF AGRICULTURAL HABITATS AND THEIR IMPACT ON THE SPIDER INHABITANTS Ann L. Rypstra: Department of Zoology, Miami University, 1601 Peck

More information

The content assessed by the examination papers and the type of questions are unchanged.

The content assessed by the examination papers and the type of questions are unchanged. www.xtremepapers.com Location Entry Codes From the June 2007 session, as part of CIE s continual commitment to maintaining best practice in assessment, CIE has begun to use different variants of some question

More information

Fire, Forest History, and Ecological Restoration of Ponderosa Pine Forests at Mount Rushmore, South Dakota

Fire, Forest History, and Ecological Restoration of Ponderosa Pine Forests at Mount Rushmore, South Dakota Fire, Forest History, and Ecological Restoration of Ponderosa Pine Forests at Mount Rushmore, South Dakota Restoration uses the past not as a goal but as a reference point for the future...it is not to

More information

Interpreting Trap Capture Data. James F. Campbell USDA ARS GMPRC 1515 College Ave Manhattan, KS 66502 [email protected]

Interpreting Trap Capture Data. James F. Campbell USDA ARS GMPRC 1515 College Ave Manhattan, KS 66502 campbell@gmprc.ksu.edu Interpreting Trap Capture Data James F. Campbell USDA ARS GMPRC 1515 College Ave Manhattan, KS 66502 [email protected] Monitoring Questions What pests are present? Are numbers increasing? Where are

More information

Introduction: Growth analysis and crop dry matter accumulation

Introduction: Growth analysis and crop dry matter accumulation PBIO*3110 Crop Physiology Lecture #2 Fall Semester 2008 Lecture Notes for Tuesday 9 September How is plant productivity measured? Introduction: Growth analysis and crop dry matter accumulation Learning

More information

FINAL REPORT. Identification of termites causing damage in maize in small-scale farming systems M131/80

FINAL REPORT. Identification of termites causing damage in maize in small-scale farming systems M131/80 FINAL REPORT Identification of termites causing damage in maize in small-scale farming systems M131/80 Project Manager: Dr MS Mphosi Co-workers: SH Nthangeni, UM du Plessis, AL Rossouw DETAILS PROJECT

More information

How to make a Solitary Bee Box

How to make a Solitary Bee Box How to make a Solitary Bee Box **Note: The following instructions include the use of tools that may be dangerous. Ensure there is adult supervision with children. Time: 1 hour People: 1-2+ Materials: Wood

More information

by Erik Lehnhoff, Walt Woolbaugh, and Lisa Rew

by Erik Lehnhoff, Walt Woolbaugh, and Lisa Rew Designing the Perfect Plant Activities to Investigate Plant Ecology Plant ecology is an important subject that often receives little attention in middle school, as more time during science classes is devoted

More information

Pest Toolkit. Pest proofing your land for a sustainable community. Help is at hand. Main topics: Pest Animal control. pest plant control

Pest Toolkit. Pest proofing your land for a sustainable community. Help is at hand. Main topics: Pest Animal control. pest plant control Pest Toolkit Pg1 Main topics: RPMP Pest proofing your land for a sustainable community Pg2 Pg3 Pg4 Pest Animal control pest plant control weed control in retirement areas Pests are unwanted plants (invasive

More information

THE HOWS AND WHYS OF SUCCESSFUL PEST SUPPRESSION BY SPIDERS: INSIGHTS FROM CASE STUDIES

THE HOWS AND WHYS OF SUCCESSFUL PEST SUPPRESSION BY SPIDERS: INSIGHTS FROM CASE STUDIES 1999. The Journal of Arachnology 27:387 396 THE HOWS AND WHYS OF SUCCESSFUL PEST SUPPRESSION BY SPIDERS: INSIGHTS FROM CASE STUDIES Susan E. Riechert: Department of Ecology & Evolutionary Biology, University

More information

Probit Analysis By: Kim Vincent

Probit Analysis By: Kim Vincent Probit Analysis By: Kim Vincent Quick Overview Probit analysis is a type of regression used to analyze binomial response variables. It transforms the sigmoid dose-response curve to a straight line that

More information

A Method of Population Estimation: Mark & Recapture

A Method of Population Estimation: Mark & Recapture Biology 103 A Method of Population Estimation: Mark & Recapture Objectives: 1. Learn one method used by wildlife biologists to estimate population size of wild animals. 2. Learn how sampling size effects

More information

This material is based on work supported by the U.S. Department of Agriculture, Extension Service & the U.S. EPA

This material is based on work supported by the U.S. Department of Agriculture, Extension Service & the U.S. EPA Revised April 1992 (reformatted May 2000) A Workbook for Certified Pesticide Applicators To accompany the VHS tape "Pesticides in the Environment" Based on materials developed by: Colorado State University

More information

Projections of Global Meat Production Through 2050

Projections of Global Meat Production Through 2050 Projections of Global Meat Production Through 2050 Dr. Thomas E. Elam Center for Global Food Issues President, FarmEcon Summary: Meat production growth is driven by a combination of increases in economic

More information

3. Which relationship can correctly be inferred from the data presented in the graphs below?

3. Which relationship can correctly be inferred from the data presented in the graphs below? 1. Recent evidence indicates that lakes in large areas of New York State are being affected by acid rain. The major effect of acid rain in the lakes is (1) an increase in game fish population levels (3)

More information

8.3.18 Advice May 2014

8.3.18 Advice May 2014 8.3.18 Advice May 2014 ECOREGION STOCK Baltic Sea Sprat in Subdivisions 22 32 (Baltic Sea) Advice for 2015 ICES advises on the basis of the MSY approach that catches in 2015 should be no more than 222

More information