RELATIONSHIP BETWEEN TREE DENSITY AND GRASS DRY MATTER YIELD IN A SOUTHERN AFRICAN SAVANNA. G.N. Smit

Similar documents
THE ECOSYSTEM - Biomes

Chapter 3 Communities, Biomes, and Ecosystems

CALCULATING AVAILABLE FORAGE

6. Base your answer to the following question on the graph below, which shows the average monthly temperature of two cities A and B.

Forest Watershed Tree Thinning Restoration Effectiveness Monitoring in the Manzano Mountains of New Mexico

Do termites enhance the invasion of southern African savannas by alien plants?

Climate, Vegetation, and Landforms

South Africa. General Climate. UNDP Climate Change Country Profiles. A. Karmalkar 1, C. McSweeney 1, M. New 1,2 and G. Lizcano 1

Moringa Oleifera a Multipurpose Tree:

4. Which choice below lists the biomes in order from lowest precipitation amounts to highest precipitation amounts?

IDŐJÁRÁS Quarterly Journal of the Hungarian Meteorological Service Vol. 116, No. 3, July September 2012, pp

Ecologically based weed management! Chuck Mohler! Cornell University!

Communities, Biomes, and Ecosystems

GLOBAL INFORMATION AND EARLY WARNING SYSTEM ON FOOD AND AGRICULTURE (GIEWS)

Chapter 18 Introduction to. A f r i c a

REVIEW UNIT 10: ECOLOGY SAMPLE QUESTIONS

Rainforest Activities By the Erie Zoo

What Is Holistic Planned Grazing?

Name Date Hour. Plants grow in layers. The canopy receives about 95% of the sunlight leaving little sun for the forest floor.

WILLOCHRA BASIN GROUNDWATER STATUS REPORT

Deer Exclusion Effects on Understory Development Following Partial Cutting in a Pennsylvania Oak Stand

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

Table A1. To assess functional connectivity of Pacific marten (Martes caurina) we identified three stand types of interest (open,

Regents Biology LAB. STUDY OF POPULATION DENSITY ON A SUBURBAN LAWN

Life Cycle Of A Plant Population

Estimation of Carbon Stock in Indian Forests. Subhash Ashutosh Joint Director Forest Survey of India

Welcome to the Understanding Dissolved Oxygen learning module. This section provides information on the following topics:

Setline survey-based apportionment estimates

WSDOT Wetland Mitigation Site Monitoring Methods

Review of Soil Moisture Calculation Method. 2. Conceptual Model of Soil Moisture Over a Shallow Water Table

Waterwise Landscaping: Designing a Drought-tolerant (and deer-resistant) Landscape and Garden

Post-Wildfire Clean-Up and Response in Houston Toad Habitat Best Management Practices

Threats to tropical forests

Key Words Forest Ecosystem, Carbon Dynamics, Boreal Forests, Tropical Forests, Plots Network

MONITORING OF DROUGHT ON THE CHMI WEBSITE

Wildlifer 2013 Managing Wildlife on Private Lands

Introduction: Growth analysis and crop dry matter accumulation

Mobilising Vegetation Plot Data: the National Vegetation Survey Databank. Susan Wiser April

6. NATURAL AREAS FIRE MANAGEMENT

What Causes Climate? Use Target Reading Skills

Projections, Predictions, or Trends?

2015 AVAGO 2D SEISMIC SURVEY ENVIRONMENTAL MANAGEMENT PLAN SUMMARY

FWRC. Cooperators: Delta Wildlife, Inc. Forest and Wildlife Research Center, Mississippi State University

WEATHERING, EROSION, AND DEPOSITION PRACTICE TEST. Which graph best shows the relative stream velocities across the stream from A to B?

Appendix C. Municipal Planning and Site Restoration Considerations

Management for a Sustainable Future a fragile ecosystem and human interaction in Tanzania.

Using Web-based Software for Irrigation and Nitrogen Management in Onion Production: our Research Plan for 2013

Deciduous Forest. Courtesy of Wayne Herron and Cindy Brady, U.S. Department of Agriculture Forest Service

Ranger Report About Tropical Rainforest (in Costa Rica)

In this lesson, students will identify a local plant community and make a variety of

Buffelgrass Growth within Urban Sub-Habitats Using High Resolution Aerial Photography

Key Idea 2: Ecosystems

defined largely by regional variations in climate

Plants, like all other living organisms have basic needs: a source of nutrition (food),

Southern Africa The Rainfall Season

Wildfire Damage Assessment for the 2011 Southeast Complex Fires

El Niño-Southern Oscillation (ENSO): Review of possible impact on agricultural production in 2014/15 following the increased probability of occurrence

Desert Communities Third Grade Core: Standard 2 Objective 2 Describe the interactions between living and nonliving things in a small environment.

Forest Fire Research in Finland

CIESIN Columbia University

MANAGEMENT OF MEADOW FESCUE PASTURE FOR HIGH-PRODUCING DAIRY COWS IN NORTHERN JAPAN

I m Randy Swaty, ecologist on The Nature Conservancy s LANDFIRE team. In the next half hour, I ll introduce LANDFIRE to you, talk about how we

Soil Properties soil texture and classes heat capacity, conductivity and thermal diffusivity moisture conductivity

CURVE FITTING LEAST SQUARES APPROXIMATION

National and Sub-national Carbon monitoring tools developed at the WHRC

RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE. Peter J. Lamb. Cooperative Institute for Mesoscale Meteorological Studies

SEC PURPOSE. SEC DEFINITIONS. SEC COLLABORATIVE FOREST LANDSCAPE RESTORATION PROGRAM.

Biology Keystone (PA Core) Quiz Ecology - (BIO.B ) Ecological Organization, (BIO.B ) Ecosystem Characteristics, (BIO.B.4.2.

This leaflet gives advice on sensible precautions to help avoid the problem and the first steps to take if damage still occurs.

4.0 Discuss some effects of disturbances on the forest.

Study on growth and sprouts of Oak Forest for Forest fire site in South Korea.

College of Agriculture, P.O. Box Tucson, Arizona

Light Interception and Plant Growth. Photo courtesy of B.A. Stewart

Forest Management Plan Templates

Guidelines to Green Roofing

DESCRIBING DESERT, TAIGA, AND TUNDRA BIOMES

Determining the relative resistance of selected Pinus species to fire damage

Habitat suitability modeling of boreal biodiversity: predicting plant species richness and rarity

Work Report for Sino-Italian Cooperation Project ( ) Application of Vallerani System Technology in Demonstration Forestation in Inner Mongolia

GROWTH DYNAMICS AND YIELD OF WINTER WHEAT VARIETIES GROWN AT DIVERSE NITROGEN LEVELS E. SUGÁR and Z. BERZSENYI

Biology 3998 Seminar II. How To Give a TERRIBLE PowerPoint Presentation

Communities and Biomes

The importance of ESD concept for rangeland monitoring program and rangeland management in Mongolia

Arizona s Large Fires Suppression vs. Restoration. WESTCAS Fall 2011 Meeting Bruce Hallin Manager, Water Rights and Contracts October 27, 2011

Scheduling Maintenance for Infiltration Basins and Trenches

Totara Stands Respond to Thinning

COTTON WATER RELATIONS

Summary of Pre- and Post-Project Vegetation Survey Results

University of Florida Institute of Food and Agricultural Sciences. Gulf Coast Research and Education Center th Street East Bradenton, FL 34203

Preparing for Success: Waterfowl Habitat Management Annual Planning by Houston Havens

RARE PLANTS AND BOTANICALLY SIGNIFIGANT ASSEMBLAGES

Communities, Biomes, and Ecosystems

2014 Flax Weed Control Trial

PUTTING FORAGES TOGETHER FOR YEAR ROUND GRAZING

The Influence of the Climatic Peculiarities on the Electromagnetic Waves Attenuation in the Baltic Sea Region

DINTERIA No. 28:39-43 Windhoek, Namibia May Research note: Fire damage to Schinziophyton rautanenii (Schinz) trees in North-eastern Namibia

Tropical Rainforest. Abiotic Factors Amount of Water, Sunlight, Soil, Precipitation

Keywords: soil and water conservation, yield increase, cost-benefit, watershed management, food security.

isbn / Recommended citation for the full chapter:

Integrating Landscape Restoration and CWPP

Transcription:

ID#05-01 RELATIONSHIP BETWEEN TREE DENSITY AND GRASS DRY MATTER YIELD IN A SOUTHERN AFRICAN SAVANNA G.N. Smit Department of Grassland Science, University of the Orange Free State, P.O. Box 339, Bloemfontein 9300, Republic of South Africa Abstract The investigation was carried out on a densely wooded area in the Mopani savanna of South Africa. Seven plots were subjected to different intensities of tree thinning, ranging from a totally cleared plot (0 %) to plots thinned to the equivalent of 10 %, 20 %, 35 %, 50 % and 75 % of the leaf biomass of a control plot (100 %). The grasses responded positively to the tree thinning in terms of total dry matter yield. The yields between tree canopies were generally of the same order or higher than under tree canopies, with the yields where trees have been removed initially the highest. At high tree densities, yields differed little between seasons of varying rainfall. No quantitative advantages of C. mopane trees on the grass layer could be established, and the highest grass DM yields were recorded in plots where all trees were removed. The relationship between grass DM yield and tree density (expressed as Evapotranspiration Tree Equivalents ha -1 ) was curvilinear, best described by the exponential regression equation.

Keywords: Colophospermum mopane, dry matter yield, leaf volume, grass-tree competition, savanna. Introduction The Mopani savanna is an extensive and important vegetation type of southern Africa. It is perceived that in recent history an increase in tree density occurred, mainly as a result of overgrazing by domestic stock, the elimination of mega herbivores, notably elephants, and the exclusion of sporadic hot fires. The suppressive effect of an increase in tree density on the production of the grass layer is considered as a serious problem by landowners. In an attempt to restore the productivity of grasses, tree clearing/thinning is commonly employed, often at high cost. However, the economical and ecological viability of these practises has not been established. Subsequently, a study on the effect of tree thinning on the productivity of the grass layer was undertaken to establish the relationship between tree density and grass production. Differences in the dry matter yield of grasses within defined subhabitats (under trees, between trees, where trees were removed) were also investigated. Material and Methods The study was conducted in the Northern Province of South Africa on a site located at 29 o 12'E, 22 o 19'S, 560 m above sea level. The vegetation is described as Mopani veld (Acocks, 1988) and is dominated by the woody species Colophospermum mopane. The most important grass species are Nine-awned Grass (Enneapogon cenchroides), Annual Three-awn

(Aristida adscensionis), False Signal Grass (Brachiaria deflexa), Foxtail Buffalo Grass (Cenchrus ciliaris) and Common Finger Grass (Digitaria eriantha). The rainy season extends from October to March inclusive, but rainfall is irregularly distributed and unpredictable. Mean long-term seasonal rainfall (July-June) was 376 mm (SE ± 27.6, range 140-620 mm). The area is known for its high summer temperatures and moderate to warm winter temperatures. The underlying geology is mainly sandstone, and the soil is sandy (80 % sand, 8 % silt, 12 % clay) with an effective depth of more than 1.2 m. The experimental site consisted of seven, 1.17 ha plots (180 m x 65 m), thinned to differing tree densities. The control plot was left undisturbed (referred to as the 100 % plot), and the others thinned to the approximate equivalents of 75 %, 50 %, 35 %, 20 %, 10 % and 0 % of the tree biomass of that of the 100 % plot (2 711 trees ha -1 ). Herbaceous plants were almost completely absent in the control plot. Thinning was completed during 1989 and the study was conducted during the 1889/90 (169 mm rain), 1990/91 (440 mm rain) and 1991/92 (214 mm rain) seasons (July - June). Above-ground dry matter (DM) yield of grasses within the 7 tree density plots was determined at the end of each growing season, normally April or May. All grasses were harvested in quadrats (0.25 m²), randomly placed in each experimental plot. Three subhabitats were distinguished: between tree canopies (uncanopied - UCA), under trees (canopied - CA) and where trees have been removed (removed canopy - RCA). A total of 60 quadrats per plot were harvested, 20 randomly allocated to each subhabitat (30 quadrats in the 0 % and 100 % plots where only 2 of the 3 defined subhabitats were represented). Rooted grasses within each quadrat were clipped to stubble height (0.1-3.0 cm) using hand clippers, dried to a constant mass (70 C) and weighed. At the end of the growing seasons the leaf volume of the C. mopane trees was calculated using the BECVOL-model (Biomass Estimates from Canopy Volume) (Smit,

1989a, 1989b, 1994). This model incorporates a regression equation, which relates spatial canopy volume (independent variable) to leaf volume (dependant variable): ln y = -3.196 + 0.728x, r = 0.975, P<0.001. Spatial tree canopy volume (x) was transformed to its normal logarithmic value, while y represents the leaf volume (cm 3 ). The number of Evapotranspiration Tree Equivalents ha -1 was subsequently calculated from the leaf volume estimates (1 ETTE = mean leaf volume of a single-stemmed tree with a height of 1.5 m = 500 cm 3 leaf volume) (Smit 1989a). The spatial canopy volume of each tree is calculated from measurements taken of the tree canopy. Relations between tree leaf volume and the DM yield of grasses were established using regression analyses (Draper & Smith 1981). Results and Discussion The grass DM yields was generally low during the first, low rainfall season (1989/90), but substantially higher in the following seasons. The yields between tree canopies (UCA) (Figure 1a) were of the same order than under tree canopies (CA) (Figure 1b), with the yields where trees have been removed (RCA) initially the highest (Figure 1c). The seasonal grass yield patterns largely followed the rainfall pattern, but the yields of the UCA-subhabitat continued to improve during the third season (1991/92) with less than half the rainfall of the previous season (1990/91). After the third season this subhabitat yielded grass DM of the same order than that of the RCA-subhabitat with the lowest yields under tree canopies (CA). Relations between tree leaf biomass, expressed as Evapotranspiration Tree Equivalents (ETTE) ha -1, and grass DM yield were established independently for each of the three seasons and for each of the defined subhabitats (Table 1). Negative relationships between ETTE ha -1 and total grass DM yield were established, but this relationship became more pronounced with

each consecutive season. Total grass DM yield (all subhabitats combined) changed from a non-significant (P>0.05) linear relationship during the first (dry) season (1989/90) (Table 1) to a significant curvilinear (P<0.05) relationship during the second and third seasons. The best fit to these curvilinear relations was achieved by the exponential regression equation. The gradient of the curve was steeper in the 1991/92 relation, indicating an increasing difference between grass DM yields of the totally cleared plot (0 %) and the rest of the treatments. Examination of the grass DM yields within the respective C. mopane-subhabitats revealed trends similar to that already presented for the combined C. mopane-habitat. Significant negative relationships between grass yield and ETTE ha -1 were particularly eminent after the second (1990/91) and third (1991/92) seasons within the UCA and RCA-subhabitats. This negative relationship was less strongly defined in the CA-subhabitat (Table 1). The negative curvilinear relationships correspond to those described for some other savanna veld types (Dye & Spear 1982). This relationship implies that the highest grass DM yield is obtained where all the C. mopane trees are removed. Since grass yields under tree canopies were lower than between tree canopies, and the high yields where trees were removed are likely only temporary, it would appear that no advantageous grass-tree interactions, evident in several other savanna veld types (Smit & Swart 1994), exist in the Mopani savanna. Thinning of C. mopane with the exclusive objective of increasing productivity of the grass layer would invariably involve a compromise situation where some trees should be left for the sake of possible qualitative benefits on the herbaceous layer (species differences), as well as other considerations like browse production, soil enrichment and esthetical considerations.

References Acocks, J.P.H. (1988). Veld types of South Africa. 3rd edition. Memoirs of the Botanical Survey of South Africa 57. Draper, N. and Smith H. (1981). Applied regression analysis. Wiley & Sons, New York. Dye, P.J. and Spear P.T.. (1982). The effects of bush clearing and rainfall variability on grass yield and composition in south-west Zimbabwe. Zim. J. agric. Res. 20: 103-118. Smit, G.N. (1989a). Quantitative description of woody plant communities: Part I. An approach. J. Grassl. Soc. South. Afr. 6: 186-191. Smit, G.N. (1989b). Quantitative description of woody plant communities: Part II. Computerized calculation procedures. J. Grassl. Soc. South. Afr. 6: 192-194. Smit, G.N. (1994). The influence of intensity of tree thinning on Mopani veld. Ph.D-thesis, University of Pretoria, Pretoria. Smit, G.N. and Swart J.S. (1994). The influence of leguminous and non-leguminous woody plants on the herbaceous layer and soil under varying competition regimes in Mixed Bushveld. Afr. J. Range For. Sci. 11: 27-33.

Table 1 - Results of the regression analyses of the relationship between the total grass DM yield of grasses within the combined Colophospermum mopane-habitat and each of the defined subhabitats (dependent variable) and Evapotranspiration Tree Equivalents (ETTE) ha -1 (independent variable). Subhabitat Season Regression equation r 2 r n P Subhabitats 1989/90 y = 73.424 0.0104x 0.370 0.608 7 0.209 ns combined 1990/91 ln y = 7.039 0.000440x 0.870 0.933 7 0.003 ** 1991/92 ln y = 6.709 0.000551x 0.841 0.917 7 0.004 ** Between trees 1989/90 y = 57.188 0.00765x 0.282 0.532 7 0.220 ns (UCA) 1990/91 ln y = 7.017 0.000510x 0.861 0.928 7 0.003 ** 1991/92 ln y = 6.708 0.000579x 0.828 0.910 7 0.004 ** Under trees 1989/90 ln y = 5.052 0.000274x 0.679 0.824 7 0.044 * (CA) 1990/91 ln y = 6.936 0.000257x 0.662 0.814 7 0.049 * 1991/92 ln y = 6.099 0.000349x 0.567 0.753 7 0.084 ns Trees 1989/90 y = 274.648 0.0479x 0.358 0.599 7 0.209 ns removed 1990/91 ln y = 7.745 0.000284x 0.868 0.932 7 0.007 ** (RCA) 1991/92 ln y = 6.936 0.000466x 0.980 0.990 7 0.002 ** (ns = not significant, * = significant P<0.05, ** = significant P<0.01)

Figure 1 Total seasonal dry matter yields of grasses within the defined subhabitats of the larger Colophospermum mopane-habitat: (a) between tre canopies (UC=uncanopied), (b) under trees (CA=canopied), and (c) where trees have been removed (RCA=removed canopy).