African Elephant (Loxondonta africana)



Similar documents
DEFINITION OF THE CHILD: THE INTERNATIONAL/REGIONAL LEGAL FRAMEWORK. The African Charter on the Rights and Welfare of the Child, 1990

country profiles WHO regions

Financing Education for All in Sub Saharan Africa: Progress and Prospects

THE ROLE OF BIG DATA/ MOBILE PHONE DATA IN DESIGNING PRODUCTS TO PROMOTE FINANCIAL INCLUSION

AIO Life Seminar Abidjan - Côte d Ivoire

The Effective Vaccine Management Initiative Past, Present and Future

UNAIDS 2013 AIDS by the numbers

Manufacturing & Reproducing Magnetic & Optical Media Africa Report

Corporate Overview Creating Business Advantage

The Africa Infrastructure

(2007) African Elephant Status Report 2007: an update from the African Elephant Database. Occasional

Global Fuel Economy Initiative Africa Auto Club Event Discussion and Background Paper Venue TBA. Draft not for circulation

WHO Global Health Expenditure Atlas

E4impact & Scalability

KIGALI DECLARATION ON THE DEVELOPMENT OF AN EQUITABLE INFORMATION SOCIETY IN AFRICA

THE STATE OF MOBILE ADVERTISING

United Nations Development Programme United Nations Institute for Training and Research

Quote Reference. Underwriting Terms. Premium Currency USD. Payment Frequency. Quotation Validity BUPA AFRICA PROPOSAL.

Proforma Cost for international UN Volunteers for UN Partner Agencies for International UN Volunteers (12 months)

A Snapshot of Drinking Water and Sanitation in Africa 2012 Update

UNHCR, United Nations High Commissioner for Refugees

In 2003, African heads of state made a commitment to

MDRI HIPC. heavily indebted poor countries initiative. To provide additional support to HIPCs to reach the MDGs.

ADF-13 Mid Term Review: Progress on the African Development Bank Group s Gender Agenda

UNFCCC initiatives: CDM and DNA Help Desks, the CDM Loan Scheme, Regional Collaboration Centres

Eligibility List 2015

Libreville Declaration on Health and Environment in Africa

Countries Ranked by Per Capita Income A. IBRD Only 1 Category iv (over $7,185)

BADEA EXPORT FINANCING SCHEME (BEFS) GUIDELINES

Pensions Core Course Mark Dorfman The World Bank. March 7, 2014

States Parties to the 1951 Convention relating to the Status of Refugees and the 1967 Protocol

Doing Business 2015 Fact Sheet: Sub-Saharan Africa

Financing Agro-Business and Food Processing in Nigeria. Oti Ikomi Head, Corporate Banking Products Ecobank Group, South Africa March 8, 2011

Pendulum Business Loan Brokers L.L.C.

People and Demography

Africa and the infrastructure sector: SACE new business solutions. AFDB Tunisi, 8-9 march 2010

Expression of Interest in Research Grant Applications

EXPLORER HEALTH PLAN. Product Summary From 1 September bupa-intl.com. Insured by Working with Brokered by

A TEACHER FOR EVERY CHILD: Projecting Global Teacher Needs from 2015 to 2030

BRIEFING NOTE 1 THE LANDSCAPE OF MICROINSURANCE IN AFRICA. 1. Counting the microinsured in Africa. 2. So how many are covered by microinsurance?

Table 5: HIV/AIDS statistics for Africa (excluding North Africa), 2001 and 2009

ARSO President Forum. Introduction. ARSO Presidents.

Sub-Saharan Africa Mobile Observatory 2012

Assessing Progress in Africa toward the Millennium Development Goals, 2011

Japan s Initiative on Infrastructure Development in Africa and TICAD Process Fifth Ministerial Meeting NEPAD-OECD Africa Investment Initiative

PROCEEDINGS KIGALI 3-4 NOVEMBRE,

This note provides additional information to understand the Debt Relief statistics reported in the GPEX Tables.

INSTRUCTIONS FOR COMPLETING THE USAID/TDA DEFENSE BASE ACT (DBA) APPLICATION

HIPC MDRI MULTILATERAL DEBT RELIEF INITIATIVE HEAVILY INDEBTED POOR COUNTRIES INITIATIVE GOAL GOAL

AAAS/ASPB 2009 Mass Media Science & Engineering Fellows Program

מדינת ישראל. Tourist Visa Table

Africa Business Forum December 2014

Goal 6: Combat HIV, AIDS, malaria, and other major diseases

Summary of GAVI Alliance Investments in Immunization Coverage Data Quality

Distance to frontier

MEMORANDUM OF UNDERSTANDING

Bangladesh Visa fees for foreign nationals

DEMOGRAPHIC AND SOCIOECONOMIC DETERMINANTS OF SCHOOL ATTENDANCE: AN ANALYSIS OF HOUSEHOLD SURVEY DATA

G4S Africa. Andy Baker Regional President. G4S Africa

FAO E-learning Center

A Credit Bureau Data Comparison - SA versus Africa The trip through the jungle is easy IF you have the data - question: do we have it?

MINISTERIAL MEETING ON ENHANCING THE MOBILIZATION OF FINANCIAL RESOURCES FOR LEAST DEVELOPED COUNTRIES DEVELOPMENT LISBON, 2-3 OCTOBER 2010

Indian Lines of Credit: An Instrument to Enhance India-Africa Partnership. November 22, 2011 New Delhi

Guidelines for DBA Coverage for Direct and Host Country Contracts

PRIORITY AREAS FOR SOCIAL DEVELOPMENT PERSPECTIVES FROM AFRICA EUNICE G. KAMWENDO UNDP REGIONAL BUREAU FOR AFRICA

Raising Capital for Oil & Gas:

The Ohada and Ecowas Treaties as Tools for Regional Integration and Regulatory Reforms

HOTEL CHAIN DEVELOPMENT PIPELINES IN AFRICA, 2014

HIV/AIDS IN SUB-SAHARAN AFRICA: THE GROWING EPIDEMIC?

Watermarks: Indicators of Irrigation Sector Performance in Africa

Re/insurance in sub- Saharan Africa. Gearing up for strong growth Dr. Kurt Karl, Head of Economic Research & Consulting, Swiss Re

PLEASE READ CAREFULLY!!!

Sage HR Africa World-class HR & Payroll software and services

OFFICIAL NAMES OF THE UNITED NATIONS MEMBERSHIP

TEACHERS NOTES FILM SYNOPSIS RESOURCE OVERVIEW PEDAGOGY

IAEA's Tools and Capacity Building for Energy Planning in Africa

Action required The Committee is requested to take note of the position of income and expenditure as of 30 September 2010.

Executive Master s in Taxation Participants 2015/16

How To Calculate The Cost Of A Road Accident In Africa

HOSPITALITY AND LEISURE IN the MIDDLE EAST AND AFRICA

FFEM Fonds Français pour l Environnement Mondial French Global Environment Facility. PROGRAMME PETITES INITIATIVES Small-Scale Initiatives PROGRAMME

The African Union Education Outlook Report: Early Childhood Development: A Continental Perspective

Appendix A. Crisis Indicators and Infrastructure Lending

Global Human Resource Development Assessment For Comprehensive Eye Care

The Trade Finance Bank for Africa

Population below the poverty line Rural % Population below $1 a day % Urban % Urban % Survey year. National %

Ensuring access: health insurance schemes and HIV

FDI performance and potential rankings. Astrit Sulstarova Division on Investment and Enterprise UNCTAD

FINDINGS FROM AFROBAROMETER ROUND 5 SURVEY DEMOCRATIC ATTITUDES/BELIEFS, CITIZENSHIP & CIVIC RESPONSIBILITIES

Goal 6: Combat HIV/AIDS, malaria and other diseases

Introducing the new Master s Programme in Tax Policy and Tax Administration. 27 Participants. 13 African Countries. 15 Months in Germany and Africa.

A HISTORY OF THE HIV/AIDS EPIDEMIC WITH EMPHASIS ON AFRICA *

Presentation to 38th General Assembly of FANAF Ouagadougou, February Thierry Tanoh- Group CEO

UNU MERIT Working Paper Series

Transcription:

African Elephant (Loxondonta africana) Further Details on Data Used for the Global Assessment For the 2004 assessment, current generation data were obtained from the African Elephant Status Report 2002 (Blanc et al. 2003; hereafter referred to as AESR 2002). For this assessment, current population data were obtained from the African Elephant Status Report 2007 (Blanc et al. 2007; hereafter referred to as AESR 2007). Approximately one elephant-generation (25 years) before 2002, a comprehensive attempt at a continental estimate was presented in the African Elephant Action Plan (Douglas-Hamilton 1979; hereafter referred to as AEAP 1979). This document and the references cited therein were used extensively for the 2004 assessment in order to determine the status of the species one generation prior to 2002, and to provide the basis for comparison with AESR 2002 estimates for that assessment. In order to make the figures from the two time periods as comparable as possible, it is important to understand the nature of the different data types presented in the AEAP 1979 (Douglas-Hamilton 1979) and the AESR (Blanc et al. 2003, 2007). Estimates in the AESR are broken down into four mutually exclusive categories of certainty namely Definite, Probable, Possible and Speculative using transparent and objectively defined rules, as described in Blanc et al. (2003, 2007). These rules are such that an estimate can be split into one or more of the above categories. It is important to note, however, that all figures in the AESR were determined by some form of actual ground-based estimate of the area concerned be it a systematic count or a guess. No extrapolations into unassessed range are included in the AESR. The AEAP 1979 presents two kinds of data, namely estimates and extrapolations. Estimates were pooled from a wide range of first-hand sources which used a wide variety of methods - ranging from standardized, systematic population surveys to plain guesswork. No attempt was made in the AEAP 1979 to classify estimates in terms of quality or reliability, but for the purposes of this assessment, and based on the estimation methodologies, these data are taken as comparable to the cumulative speculative estimates (i.e. the sum of Definite, Probable, Possible and Speculative figures) found in the AESR. THE IUCN RED LIST OF THREATENED SPECIES

The extrapolations included in the AEAP 1979 provided elephant population estimates for all areas of assumed elephant range not covered by estimates. Such extrapolations were arrived at by multiplying assumed elephant densities by the assumed areas of elephant ranges. The AEAP 1979 thus includes a category of estimate not included in the AESR. For the purposes of this assessment, the additional extrapolations presented in the AEAP 1979 are not used in the comparisons between the two time periods. In both the AEAP 1979 and the AESR the estimates used for comparison cover approximately 50% of estimated elephant range, with the rest of the range remaining effectively unassessed. In addition, there are three important points to note on how figures were used: 1. Use of alternative sources. In a number of cases, to estimate numbers in the late 1970s, alternative sources were used instead of the estimates provided in the AEAP 1979. This was done in a systematic fashion, always following the guideline that where an alternative estimate was available, it was only used if it was higher than that reported in the AEAP 1979, even if the alternative estimate was dated as more recent than 1979. This was viewed as more conservative, as it was widely agreed in the assessing group that the number of African Elephants has probably declined in the past 25 years. 2. Removal of underestimated national figures. In cases where a national estimate in the AEAP 1979 was lower than those in the AESR 2007 and there were no alternative sources, the country was completely removed from the analysis. This was the case for two countries, namely Gabon and Liberia. 3. Data for Sudan. Elephant population surveys were conducted in a number of areas of South Sudan after the publication of the AESR 2007. The estimate used for South Sudan in this assessment was taken from the recent surveys (Elkan and Grossmann pers. comm.) and not from the AESR 2007. Regional Assessments The status of African elephants varies considerably across the species range. These differences broadly follow regional boundaries, and are partly a result of the different historical trends. To better reflect this variation in status, it was decided to include in this assessment regional-level listings for the four African regions in which elephants occur (see Figure 2). The methodology and criteria used in these regional assessments is identical to that used for the global assessment, but employing only the relevant subsets of data. An exception to this rule is West Africa, where a more precautionary listing was obtained through the application of a different Red List Criterion. The results of the regional assessments are described below. 2

Table 1: Summary of regional and global Red List assessments for the African Elephant. Region (and list of countries included in the assessment) Central Africa (Cameroon, Central African Republic, Chad, Congo, Democratic Republic of the Congo and Equatorial Guinea) Eastern Africa (Eritrea, Ethiopia, Kenya, Rwanda, Somalia, Tanzania and Uganda) Status EN VU Comments Although available figures for Central Africa yield a listing of EN under criterion A2a, it is important to note that data for this region, both for the 1970s and the present, are incomplete and unreliable. Eastern Africa was the region with the largest number of elephants in the 1970s, but also the one that experienced the worst poaching episodes in that and the following decade. While there are signs of recovery in some of the most important elephant populations, the growth of human populations in the interim has been considerable. If these human growth trends continue, it is it unlikely that elephant numbers will reach the peaks of the 1970s. Southern Africa (Angola, Botswana, Malawi, Mozambique, South Africa, Zambia and Zimbabwe) LC In the late 1970s, Southern Africa s elephant populations were recovering from historical lows in the early 20 th century. That recovery has continued, and elephant numbers in this region are now considerably higher than they were in the late 1970s, and indeed higher than in any other African region. West Africa (Benin, Burkina Faso, Côte d Ivoire, Ghana, Guinea, Guinea Bissau, Mali, Niger, Nigeria, Senegal, Sierra Leone and Togo) VU Elephant numbers were already comparatively low in West Africa in the 1970s, and are not believed to have declined considerably in the period up to the present. As a result, an assessment under criterion A2a results in a listing of Near Threatened. However, as the current population of mature individuals is believed to number less than 10,000, this regional population is listed as VU under criterion C1. The region has the highest human population pressures and the highest levels of habitat fragmentation. Yet, as elephant range in West Africa extends over 175 000 km², it does not qualify for listing under the habitat reduction and fragmentation criterion (B). 3

Figure 1. Speculated sub-regional trends in elephant populations in the 20th century (not to scale). 4

Figure 2: Range of the African Elephant. 5

Bibliography Blanc, J.J., Barnes, R.F.W., Craig, G.C., Dublin, H.T., Thouless, C.R., Douglas-Hamilton, I. and Hart, J.A. 2007. African Elephant Status Report 2007: An update from the African Elephant Database. SSC Occasional Paper Series 33. IUCN, Gland, Switzerland. Blanc, J.J., Thouless, C.R., Hart, J.A., Dublin, H.T., Douglas-Hamilton, I., Craig, G.C. and Barnes, R.F.W. 2003. African Elephant Status Report 2002: An update from the African Elephant Database. SSC Occasional Paper Series 29. IUCN, Gland, Switzerland and Cambridge, UK. Douglas-Hamilton, I. 1979. The African elephant action plan. IUCN/WWF/NYZS Elephant Survey and Conservation Programme. Final report to US Fish and Wildlife Service. IUCN, Nairobi. 6