Local agro-pastoralists’ perspectives on forage species diversity, habitat distributions, abundance trends and ecological drivers for sustainable livestock production in West ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

John-Baptist S. N. Naah, Boris Braun

ABSTRACT

Despite the importance of local ecological knowledge of forage plants, there has been little discussion on how local agro-pastoralists perceive forage species diversity, abundance trends, habitat distributions and ecological drivers influencing changing abundance trends over time in rural West Africa's savannas. In estimating, assessing and investigating the ecological variables, we performed elaborate ethnobotanical surveys in seven villages in northern Ghana and nine villages in southern-central Burkina Faso. Data were analyzed using descriptive statistics, bivariate correlation analysis and cognitive salience index calculations to disentangle the dynamics of local responses to ecological variables considered in this study. Our results revealed that agro-pastoralists exhibited extensive knowledge on forage species diversity, habitat types, abundance trends and ecological drivers. According to agro-pastoralists interviewed, about 82 percent of all forage species known to them were commonly available in local landscapes, while a majority of our interviewees indicated that available forage resources have shown a gradually increasing trend over the past few years. Rainfall variability, tree cutting and drought were the topmost perceived threats causing changes in the trends of forage species abundance. Given our findings, local perceptions of agro-pastoralists could have substantial practical implications in favor of forage-related biodiversity conservation and sustainable livestock production. More... »

PAGES

1707

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-38636-1

DOI

http://dx.doi.org/10.1038/s41598-019-38636-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112024113

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30737435


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