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 agroforests include tree species besides cocoa, a practice beneficial to biodi...

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Autores principales:	Jessica E. Raneri, Sandra Oliveira, Nicole R. Demers, Richard Asare, Seth Nuamah, Mustapha A. Dalaa, Stephan Weise
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Biodiversity Agroforestry Cocoa Rapid assessment Ghana Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/110c51ba2fb349daa054c7444700af7c
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spelling	oai:doaj.org-article:110c51ba2fb349daa054c7444700af7c2021-12-01T04:57:35ZA rapid tree diversity assessment method for cocoa agroforestry systems1470-160X10.1016/j.ecolind.2021.107993https://doaj.org/article/110c51ba2fb349daa054c7444700af7c2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006580https://doaj.org/toc/1470-160XBiodiversity 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 agroforests 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 biodiversity 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: calibration, 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 quantitative 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.Jessica E. RaneriSandra OliveiraNicole R. DemersRichard AsareSeth NuamahMustapha A. DalaaStephan WeiseElsevierarticleBiodiversityAgroforestryCocoaRapid assessmentGhanaEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 107993- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biodiversity Agroforestry Cocoa Rapid assessment Ghana Ecology QH540-549.5
spellingShingle	Biodiversity Agroforestry Cocoa Rapid assessment Ghana Ecology QH540-549.5 Jessica E. Raneri Sandra Oliveira Nicole R. Demers Richard Asare Seth Nuamah Mustapha A. Dalaa Stephan Weise A rapid tree diversity assessment method for cocoa agroforestry systems
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 agroforests 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 biodiversity 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: calibration, 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 quantitative 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	article
author	Jessica E. Raneri Sandra Oliveira Nicole R. Demers Richard Asare Seth Nuamah Mustapha A. Dalaa Stephan Weise
author_facet	Jessica E. Raneri Sandra Oliveira Nicole R. Demers Richard Asare Seth Nuamah Mustapha A. Dalaa Stephan Weise
author_sort	Jessica E. Raneri
title	A rapid tree diversity assessment method for cocoa agroforestry systems
title_short	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_sort	rapid tree diversity assessment method for cocoa agroforestry systems
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/110c51ba2fb349daa054c7444700af7c
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A rapid tree diversity assessment method for cocoa agroforestry systems

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