5/27/2010




                 Contrasting Benchmark Sites on                                             Objectives 
    ...
5/27/2010




     KAP Survey of various stakeholder groups                                                               ...
OP27: Contrasting Benchmark Sites on Bio-physical and Socio-economic Characteristicsand Implications for Conservation a...
OP27: Contrasting Benchmark Sites on Bio-physical and Socio-economic Characteristicsand Implications for Conservation a...
OP27: Contrasting Benchmark Sites on Bio-physical and Socio-economic Characteristicsand Implications for Conservation a...
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OP27: Contrasting Benchmark Sites on Bio-physical and Socio-economic Characteristics and Implications for Conservation and Sustainable Management of BGBD

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A presentation by Dr. Jeroen Huising

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OP27: Contrasting Benchmark Sites on Bio-physical and Socio-economic Characteristics and Implications for Conservation and Sustainable Management of BGBD

  1. 1. 5/27/2010 Contrasting Benchmark Sites on  Objectives  Bio‐physical and Socio‐economic Characteristics and Implications for  Conservation and Sustainable Management of  To characterize the bio‐physical, socio‐economic and  BGBD political environment of the benchmark areas to  determine constraints for adoption of conservation  and management of below‐ground biodiversity  Jeroen Huising, Steve Ichami, Willemien  Jeroen Huising Steve Ichami Willemien Brooijmans, Peter Okoth, Perrine Deja,  options and to assess possible project impact Moses Isabirye, Bustanul Arifin, Elaine  Fidalgo, Mauricio R. Coelho, Jose Antonio  Garcia, Chinnappa Reddy, R.K. Maikhuri,  To provide background information for the  Muya Edward, Bernard Mutsotso, Pascal  interpretation of the results emanating from the  Angui, Jonas G. Ibo, Mugonola Basil inventory of BGBD and for demonstration and  experimentation of options for the conservation and  sustainable management of BGBD CSM-BGBD Closing Conference 17-21 May 2009 17-21 May 2010 CSM-BGBD Closing Conference Root and proximate causes of loss of below‐ground  biodiversity Location of the CSM‐BGBD project Benchmark Sites Nandi Devi BR, India Los Tuxtlas (3), Mexico Nilgiri BR, Karnataka, India Nilgiri BR, Kerala, India g , , Oumé, Ivory Coast Mabira Forest, Uganda Jambi, Indonesia Benjamin Constant, AM, Brazil Taï, Ivory Coast Embu, Kenya Taita, Kenya Lampung, Indonesia 17-21 May 2010 CSM-BGBD Closing Conference 17-21 May 2010 CSM-BGBD Closing Conference Data sources Data collection: Data matrix – benchmark sites (15) Bio‐physical characteristics Soil sample analyses, land use description at sampling  Climate Topography points Soils Vegetation Socio‐economic and land use surveys (reports issued  Land use and land cover Forest, protected area and land use history by the project) y p j ) Agricultural orientation and land use intensity Agronomy Existing literature and internet sources Farm size Cultural practices (irrigation, tillage) Brazil Management practices (inputs) and market linkages Questionnaires submitted to project members  Socio‐economic Income from farming relative to total income Access to land Poverty and economic development  Demographic data Policy and institutions Institutional environment and farmer organisation Agricultural policy Nandi Devi 17-21 May 2010 CSM-BGBD Closing Conference 17-21 May 2010 CSM-BGBD Closing Conference 1
  2. 2. 5/27/2010 KAP Survey of various stakeholder groups Comparing benchmark areas: Soil and land constraints Knowledge, attitude and perception of farmers Site Soil Quality Plot of Rainfall (mm) against Hypsometry Perception of production constraints Brazil BC Rel. poor General (economic, land tenure etc.) 3500 Jambi Soil constraints (fertility, physical, erosion) 3000 Lampung Brazil Quanabara Rel. poor Agronomic (e.g. pest & diseases) Kerala Brazil NA Rel. poor Rainfa (mm) 2500 Brazil Mexico Farmers’ solutions and practice Mabira Karantaka CDI Oumé Poor 2000 all Knowledge related to Knowledge related to 1500 Nanda Devi India Kerala Intermediate BGBD and ecosystem function‐ soil processes 1000 India Nandi Devi Intermediate Management practices to manage BGBD (or that affect BGBD and soil processes) Oume 500 Taita KAP of NGO and extensions services Taita India Karnataka Intermediate 0 D i Involvement in the project 0 2 4 6 8 Indo  ‐ Lampung Rel. poor Knowledge element Hypsometry Indo ‐ Jambi Rel. poor Practice (whether relevant elements are included in recommendations) Kenya ‐ Embu Poor Policy makers Kenya ‐ Taita   (Very) poor Involvement Mexico – L.Mateos Intermediate Knowledge and attitude elements  Mexico – V. Caranza Rel. poor Mexico – S. Fernando Rel. good Uganda Good 17-21 May 2010 CSM-BGBD Closing Conference 17-21 May 2010 India CSM-BGBD Closing Conference General characteristics of the benchmark areas: soils and  Comparison between benchmark areas – soil fertility  climate constraints (SOC and pH) 6 Brazil Los Tuxtlas General characteristics  Mexico India_Kerala 5 Benchmark areas in Soil C%  8.0 7.0 8.0 7.0 8.0 7.0 4 Embu Jambi and pH 6.0 5.0 6.0 5.0 6.0 5.0 SOM SOC SOC Lampung 4.0 4.0 4.0 3500 3.0 3.0 3.0 C% 3 2.0 2.0 2.0 Taita 1.0 1.0 1.0 Jambi 0.0 00 0.0 00 0.0 00 2 3000 2.5 3.5 4.5 5.5 6.5 2.5 3.5 4.5 5.5 6.5 Brazil 2.5 3.5 4.5 5.5 6.5 Oumé Lampung Soil pH Soil pH Soil pH Kerala Brazil 1 Nanda Devi 2500 Cote d'Ivore Kenya Embu India Himalaya Mabira 0 Los Tuxtlas  y = 118,17x - 871,81 Rainfall 2 R = 0,4897 8.0 8.0 8.0 3,5 4 4,5 5 20005,5 6 6,5 7 7.0 7.0 Ph 7.0 6.0 6.0 6.0 5.0 5.0 Embu 5.0 SOC SOC SOC 1500 Oumé 4.0 4.0 4.0 3.0 3.0 3.0 Taita 2.0 2.0 2.0 Climate: annual  1000 Nanda 1.0 0.0 1.0 0.0 1.0 0.0 temperature and  2.5 3.5 4.5 5.5 6.5 2.5 3.5 4.5 5.5 6.5 2.5 3.5 4.5 5.5 6.5 7.5 Soil pH Soil pH Soil pH rainfall 500 10 15 20 25 30 Temperature 17-21 May 2010 CSM-BGBD Closing Conference 17-21 May 2010 CSM-BGBD Closing Conference Characterisation of benchmark sites in terms of soil  Soil fertility constraints – Soil pH (acidity) and soil organic  constraints carbon (SOC) are good indicators of soil fertility d=2 Brazil India_Kerala Brazil ‐ Benjamin Constant Land use influences soil  8.0 8.0 chemical characteristics 7.0 7.0 Eigenvalues F2=17.97% d=2 6.0 6.0 5.0 5.0 SOM SOC 4.0 4.0 3.0 3.0 78 80 2.0 2.0 77 1.0 10 1.0 10 83 pH  Fe  Croplands 0.0 0.0 Grasslands  5 15 25 35 45 55 65 5 15 25 35 45 55 65 72 74 81 TBS Prem  52 14 39 67 71 73 68 70 Forests Clay Clay 64 54 Zn62 3 56 44 19 59 49 53 79 Bsat 41 4847 61 69 29 17 75 82 F1=37.70% Kenya Embu Mexico 63 60 24 32 37 8 15 43 10 66 40 57 38 Cu  65 6 76 9 55 8.0 8.0 Mn 2616 P  42 S  58 5 12 7 7.0 7.0 45 22 13 51 Al_S 18 1 Ca  OM  20 50 4 28 6.0 6.0 21 46 2 36 5.0 5.0 23 SB  K  B  11 SOC SOC 4.0 4.0 27 31 3.0 3.0 Mg  30 TN 25 33 2.0 2.0 Al  34 Monte Carlo significance test 35 1.0 1.0 H_Al 0.0 0.0 (a) Brazil P values =0.001 5 15 25 35 45 55 65 5 15 25 35 45 55 65 CECe Clay Clay explained Inertia 0.1921 CECp 17-21 May 2010 CSM-BGBD Closing Conference 17-21 May 2010 CSM-BGBD Closing Conference 2

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