2014
DOI: 10.1371/journal.pone.0112367
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Integrating Sustainable Hunting in Biodiversity Protection in Central Africa: Hot Spots, Weak Spots, and Strong Spots

Abstract: Wild animals are a primary source of protein (bushmeat) for people living in or near tropical forests. Ideally, the effect of bushmeat harvests should be monitored closely by making regular estimates of offtake rate and size of stock available for exploitation. However, in practice, this is possible in very few situations because it requires both of these aspects to be readily measurable, and even in the best case, entails very considerable time and effort. As alternative, in this study, we use high-resolution… Show more

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Cited by 29 publications
(44 citation statements)
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“…, Fa et al . ,b). However, our data also illustrate that protected areas can obviously withstand increased hunting pressure due to better road access as long as patrolling is effective (Bruner et al .…”
Section: Discussionmentioning
confidence: 99%
“…, Fa et al . ,b). However, our data also illustrate that protected areas can obviously withstand increased hunting pressure due to better road access as long as patrolling is effective (Bruner et al .…”
Section: Discussionmentioning
confidence: 99%
“…There is evidence that the richness and population structure of mammals found in the central part of the Congo basin is considerably lower than in areas along the western, northern and eastern side of the Congo River (Fa et al. ). The limiting role of the zoogeographical factor south to the Congo River (Appendix S4) supports this possibility, but we cannot discard the possibility of observation bias, since the central Congo is not an easily accessible area.…”
Section: Discussionmentioning
confidence: 99%
“…This descriptor was added to the list of variables in the modelling process as described in Fa et al . ().…”
Section: Methodsmentioning
confidence: 97%
“…When Pearson's correlation between two variables within a model was ≥ 0.8, multicollinearity was avoided by retaining only the variable that most significantly predicted species presence (Fa et al . ). The significance of every variable that was entered in the models was assessed using Wald's () test.…”
Section: Methodsmentioning
confidence: 97%
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