RT Journal Article
T1 Spatial modelling for predicting potential wildlife distributions and human impacts in the Dja Forest Reserve, Cameroon.
A1 Farfán-Aguilar, Miguel Ángel
A1 Aliaga-Samanez, Alisa
A1 Olivero-Anarte, Jesús
A1 Williams, David
A1 Dupain, Jef
A1 Guian, Zokoe
A1 Fa, Julia E.
K1 Simios - Protección
K1 Elefantes - Protección
K1 Espacios naturales protegidos - Camerún - Modelos matemáticos
AB Protected areas (PAs) are currently the cornerstones for biodiversity conservation in many regions of the world.Within Africa's moist forest areas, however, numerous PAs are under significant threats from anthropogenicactivities. Adequate technical and human resources are required to manage the wildlife within PAs satisfactorily.SMART (Spatial Monitoring And Reporting Tool) software has been developed to aid in fluidly displaying,managing, and reporting on ranger patrol data. These data can be analysed using spatial modelling to informdecision-making. Here we use Favourability Function modelling to generate risk maps from the data gathered onthreats (fire, poaching and deforestation) and the presence of Western gorilla (Gorilla gorilla gorilla), chimpanzee(Pan troglodytes) and African forest elephant (Loxodonta cyclotis) in the Dja Forest Reserve (DFR), southernCameroon. We show that the more favourable areas for the three study species are found within the core of theDFR, particularly for elephant. Favourable areas for fires and deforestation are mostly along the periphery of thereserve, but highly favourable areas for poaching are concentrated in the middle of the reserve, tracking thefavourable areas for wildlife. Models such as the ones we use here can provide valuable insights to managers tohighlight vulnerable areas within protected areas and guide actions on the ground.
PB Elsevier
YR 2018
FD 2018-12-22
LK https://hdl.handle.net/10630/29881
UL https://hdl.handle.net/10630/29881
LA eng
NO Farfán, M. A., Aliaga-Samanez, A., Olivero, J., Williams, D., Dupain, J., Guian, Z. y Fa, J. (2019). Spatial modelling for predicting potential wildlife distributions and human impacts in the Dja Forest Reserve, Cameroon. Biological Conservation, 230: 104-112. https://doi.org/10.1016/j.biocon.2018.12.015
NO Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/15491
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026