A rapid tree diversity assessment method for cocoa agroforestry systems
| dc.creator | Raneri, Jessica Evelyn | |
| dc.creator | Oliveira, Sandra | |
| dc.creator | Demers, Nicole R. | |
| dc.creator | Asare, Richard | |
| dc.creator | Nuamah, Seth | |
| dc.creator | Dalaa, Mustapha Alasan | |
| dc.creator | Weise, Stephan F. | |
| dc.date | 2021-11 | |
| dc.date | 2021-08-04T09:09:04Z | |
| dc.date | 2021-08-04T09:09:04Z | |
| dc.date.accessioned | 2026-06-27T15:54:10Z | |
| dc.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. | |
| dc.format | application/pdf | |
| dc.identifier | https://hdl.handle.net/10568/114551 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/116911 | |
| dc.language | en | |
| dc.publisher | Elsevier | |
| dc.rights | Open Access | |
| dc.source | 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 | |
| dc.subject | agroforestry systems | |
| dc.subject | methods | |
| dc.subject | data collection | |
| dc.subject | biodiversity | |
| dc.subject | sistemas agroforestales | |
| dc.subject | métodos | |
| dc.subject | colección de datos | |
| dc.title | A rapid tree diversity assessment method for cocoa agroforestry systems | |
| dc.type | Journal Article |
