A rapid tree diversity assessment method for cocoa agroforestry systems
Biodiversity is recognized as an essential part of sustainable development efforts, however reducing biodiversity loss is a key global challenge that requires updated data on biodiversity status at different scales. Cocoa agro-forests include tree species besides cocoa, a practice beneficial to biod...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/114551 |
| _version_ | 1855520417862647808 |
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| author | Raneri, Jessica Evelyn Oliveira, Sandra Demers, Nicole R. Asare, Richard Nuamah, Seth Dalaa, Mustapha Alasan Weise, Stephan F. |
| author_browse | Asare, Richard Dalaa, Mustapha Alasan Demers, Nicole R. Nuamah, Seth Oliveira, Sandra Raneri, Jessica Evelyn Weise, Stephan F. |
| author_facet | Raneri, Jessica Evelyn Oliveira, Sandra Demers, Nicole R. Asare, Richard Nuamah, Seth Dalaa, Mustapha Alasan Weise, Stephan F. |
| author_sort | Raneri, Jessica Evelyn |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Biodiversity is recognized as an essential part of sustainable development efforts, however reducing biodiversity loss is a key global challenge that requires updated data on biodiversity status at different scales. Cocoa agro-forests include tree species besides cocoa, a practice beneficial to biodiversity, ecosystem conservation and farming households. We present a stepwise procedure to test and select a method that rapidly assesses biodi-versity in cocoa agroforests based primarily on species richness and counts of non-cocoa trees. Three rapid assessment methodologies (RapidBAM) with different sampling procedures were tested in three phases: cali-bration, testing and evaluation. Results showed the method using the lowest number of sample plots with a minimum area coverage and a consistent sampling time (regardless of farm context) provided the most accurate and straightforward assessment. Farmers accurately reported qualitatively on species, complimenting quanti-tative data produced by RapidBAM. Collecting biodiversity data with RapidBAM proved valuable to collect data at large-scales and is applicable to different landscapes. Monitoring biodiversity with fewer required resources than conventional methods is a relevant outcome, which can help defining efficient biodiversity-friendly farming practices. |
| format | Journal Article |
| id | CGSpace114551 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1145512025-11-11T17:45:44Z A rapid tree diversity assessment method for cocoa agroforestry systems Raneri, Jessica Evelyn Oliveira, Sandra Demers, Nicole R. Asare, Richard Nuamah, Seth Dalaa, Mustapha Alasan Weise, Stephan F. agroforestry systems methods data collection biodiversity sistemas agroforestales métodos colección de datos Biodiversity is recognized as an essential part of sustainable development efforts, however reducing biodiversity loss is a key global challenge that requires updated data on biodiversity status at different scales. Cocoa agro-forests include tree species besides cocoa, a practice beneficial to biodiversity, ecosystem conservation and farming households. We present a stepwise procedure to test and select a method that rapidly assesses biodi-versity in cocoa agroforests based primarily on species richness and counts of non-cocoa trees. Three rapid assessment methodologies (RapidBAM) with different sampling procedures were tested in three phases: cali-bration, testing and evaluation. Results showed the method using the lowest number of sample plots with a minimum area coverage and a consistent sampling time (regardless of farm context) provided the most accurate and straightforward assessment. Farmers accurately reported qualitatively on species, complimenting quanti-tative data produced by RapidBAM. Collecting biodiversity data with RapidBAM proved valuable to collect data at large-scales and is applicable to different landscapes. Monitoring biodiversity with fewer required resources than conventional methods is a relevant outcome, which can help defining efficient biodiversity-friendly farming practices. 2021-11 2021-08-04T09:09:04Z 2021-08-04T09:09:04Z Journal Article https://hdl.handle.net/10568/114551 en Open Access application/pdf Elsevier Raneri, J. E., Oliveira, S., Demers, N. R., Asare, R., Nuamah, S., Dalaa, M. A., & Weise, S. (2021). A rapid tree diversity assessment method for cocoa agroforestry systems. In Ecological Indicators.130: 107993. ISSN 1470-160X |
| spellingShingle | agroforestry systems methods data collection biodiversity sistemas agroforestales métodos colección de datos Raneri, Jessica Evelyn Oliveira, Sandra Demers, Nicole R. Asare, Richard Nuamah, Seth Dalaa, Mustapha Alasan Weise, Stephan F. A rapid tree diversity assessment method for cocoa agroforestry systems |
| title | A rapid tree diversity assessment method for cocoa agroforestry systems |
| title_full | A rapid tree diversity assessment method for cocoa agroforestry systems |
| title_fullStr | A rapid tree diversity assessment method for cocoa agroforestry systems |
| title_full_unstemmed | A rapid tree diversity assessment method for cocoa agroforestry systems |
| title_short | A rapid tree diversity assessment method for cocoa agroforestry systems |
| title_sort | rapid tree diversity assessment method for cocoa agroforestry systems |
| topic | agroforestry systems methods data collection biodiversity sistemas agroforestales métodos colección de datos |
| url | https://hdl.handle.net/10568/114551 |
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