Factors influencing the distribution of large mammals within a protected central African forest

Blom, A.; Zalinge, Robert van; Heitkönig, Ignas M. A.; Prins, Herbert H. T.

doi:10.1017/s0030605305001080

Cited by 57 publications

(56 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Roads facilitate movement to areas that would have otherwise been inaccessible or require more effort. Other studies found similar results and showed that the distance to roads was a strong predictor for levels of poaching (Blake et al 2007), and that poachers use roads to penetrate into a national park (Blom et al 2005). Outside roads can also facilitate drop-offs (Mulero-Pázmány et al 2014;Snitch 2014;Spicer 2014).…”

Section: Least Effort: Roads Outside the Reserve And Phone Signalsupporting

confidence: 63%

Understanding site selection of illegal border crossings into a fenced protected area: a rational choice approach

2018

View full text Add to dashboard Cite

This study investigates illegal border crossings by rhino poachers into a fenced reserve in South Africa, comparing journeys to and after crime using a rational choice approach. Using various regression models, our analysis indicates poachers prefer to enter and exit the reserve near high rhino densities, while high road densities outside the reserve increase the odds of an illegal entry. The results also show that half of the incursions occurred at a single location, leading us to describe the special circumstances of this outlier. The study lays a foundation for understanding the location choices poachers make and presents a methodology that can be replicated in other reserves.

show abstract

Section: Least Effort: Roads Outside the Reserve And Phone Signalsupporting

confidence: 63%

Understanding site selection of illegal border crossings into a fenced protected area: a rational choice approach

2018

View full text Add to dashboard Cite

show abstract

“…However, the grouped ape model did tentatively suggest a higher abundance of ape nests further away from human settlements and the importance of accessibility and remoteness should not be neglected (e.g. Blom, Prins & Yamindou, 2004;Blom et al, 2005;Struhsaker, Struhsaker & Siex, 2005): in our study, the Variable codes are defined as follows: St, site; Dh, distance to human settlements (km); Dr, distance to Dja River (km); Dt, distance to trails (km); Hs, number of human signs; Lr, number of logging roads; ShC, suitable habitat for chimpanzees (%); ShG, suitable habitat for gorillas (%); Osf, old secondary forest (%); Lg, light gaps (%). Italics indicate models with values of delta AICc < 2 and selected to explain variation in ape nest abundance.…”

Section: Explanatory Variablesmentioning

confidence: 96%

Conservation research presence protects: a case study of great ape abundance in the Dja region, Cameroon

Tagg

Willie

Duarte

et al. 2015

Animal Conservation

View full text Add to dashboard Cite

Research programmes have been shown to exert a positive impact on faunal communities, but few studies provide empirical evidence. In this study, we surveyed three neighbouring sites, differing in terms of official protection status and level of active management, in the Dja Conservation Complex, southeast Cameroon. We recorded signs of human activity and anthropogenic pressures and found that they significantly differed by site. We assessed chimpanzee and gorilla relative abundance using nest count surveys. We found that chimpanzee nest abundance was related to the presence of active management, but both active management and availability of suitable habitat affected gorilla nest abundance. Our results suggest that gorillas are more tolerant of human activity. We also provide evidence that the presence and activities of the conservation research project Projet Grands Singes served to actively deter poachers and limit hunting of great apes as a result of researcher presence, community sensitization and of valuing living apes and intact forests by local people. Such empirical evidence for the positive effect of research activity on biodiversity preservation should encourage continued investment in such programmes as part of a landscape-wide, multistakeholder conservation management of great ape habitats.

show abstract

“…First, individual species may be more or less threatened than the habitats they use (e.g. Bodmer and Robinson 2004;Brashares et al 2004;Blom et al 2005;Nijman 2005). Second, individual assessments cannot hope to keep pace with current levels of biodiversity loss (May et al 1995;Baillie et al 2004;Mace et al 2005).…”

Section: Introductionmentioning

confidence: 98%

Assessing extinction risk in the absence of species-level data: quantitative criteria for terrestrial ecosystems

2006

View full text Add to dashboard Cite

The conservation of individual plant and animal species has been advanced greatly by the World Conservation Union's (IUCN) development of objective, repeatable, and transparent criteria for assessing extinction risk, which explicitly separate the process of risk assessment from priority-setting. Here we present an analogous procedure for assessing the extinction risk of terrestrial ecosystems, which may complement traditional species-specific risk assessments, or may provide an alternative when only landscape-level data are available. We developed four quantitative risk criteria, derived primarily from remotely sensed spatial data, information on one of which must be available to permit classification. Using a naming system analogous to the present IUCN species-specific system, our four criteria were: (A) reduction of land cover and continuing threat, (B) rapid rate of land cover change, (C) increased fragmentation, and (D) highly restricted geographical distribution. We applied these criteria to five ecosystems covering a range of spatial and temporal scales, regions of the world, and ecosystem types, and found that Indonesian Borneo's lowland tropical forests and the Brazilian Atlantic rainforest were Critically Endangered, while South Africa's grasslands and Brazil's Mato Grosso were Vulnerable. Furthermore, at a finer grain of analysis, one region of Venezuela's coastal dry forests (Margarita Island) qualified as Vulnerable, while another (the Guasare River watershed) was Critically Endangered. In northern

show abstract

Factors influencing the distribution of large mammals within a protected central African forest

Cited by 57 publications

References 20 publications

Understanding site selection of illegal border crossings into a fenced protected area: a rational choice approach

Understanding site selection of illegal border crossings into a fenced protected area: a rational choice approach

Conservation research presence protects: a case study of great ape abundance in the Dja region, Cameroon

Assessing extinction risk in the absence of species-level data: quantitative criteria for terrestrial ecosystems

Contact Info

Product

Resources

About