TY - JOUR

T1 - Habitat suitability modeling of endangered primates in Nigeria

T2 - integrating satellite remote sensing and spatial modeling techniques

AU - Blackburn, George Alan

PY - 2015/10/13

Y1 - 2015/10/13

N2 - This paper investigates the impacts of forest cover and spatial structure changes on the forestlandscape across Afi-Mbe-Okwangwo protected area of Cross River State, Nigeria and its corresponding implication on two endangered primates (Cross River Gorilla and Nigeria-CameroonChimpanzee) habitat using satellite remote sensing and modeling techniques. Using remotesensing change detection analysis, the spatial extent and annual rate of deforestation for thestudy area was determined as 34,620 hectares and 1.5% respectively (from 2000 to 2014). Theprotected areas with highest annual deforestation rates were Afi Mountain Wildlife Sanctuary(2.6%) and Mbe Mountains (2.2%), both prominent for gorilla and chimpanzee sightings andnests. Further investigations on changes to the forest landscape structure revealed high levels offorest fragmentation across the study area for the 14-year period investigated. As a means offurther understanding effects of forest landscapes changes across the study area, a 14-year forward simulation was performed using the Markov model as to determine the spatial extent offuturistic forest cover changes. The results showed that if this current trend of forest coverchange continued, 28,121 hectares of forests would be lost to deforestation in 2028 (approximately 16% of the total landmass of the entire study area). Using Maxent modeling, suitable primate habitats were predicted and the total coverage determined as 30,940 hectares (54.4% situated in CRNP—Okwangwo division, 29.4% in AMWS, 14.3% in Mbe Mountains and 1.9% in ARFR). Further analysis revealed 6468 hectares of predicted primate habitat were affected by deforestation in 2014 (21% of the predicted primate habitats). These results indicate that suitableprimate habitats (particularly for gorillas and chimpanzees) are under immense pressure fromdeforestation and forest fragmentation. This paper presents a cost effective and time saving approach for determining suitable primate habitats and understanding the effects of forest transition on primate habitat suitability.

AB - This paper investigates the impacts of forest cover and spatial structure changes on the forestlandscape across Afi-Mbe-Okwangwo protected area of Cross River State, Nigeria and its corresponding implication on two endangered primates (Cross River Gorilla and Nigeria-CameroonChimpanzee) habitat using satellite remote sensing and modeling techniques. Using remotesensing change detection analysis, the spatial extent and annual rate of deforestation for thestudy area was determined as 34,620 hectares and 1.5% respectively (from 2000 to 2014). Theprotected areas with highest annual deforestation rates were Afi Mountain Wildlife Sanctuary(2.6%) and Mbe Mountains (2.2%), both prominent for gorilla and chimpanzee sightings andnests. Further investigations on changes to the forest landscape structure revealed high levels offorest fragmentation across the study area for the 14-year period investigated. As a means offurther understanding effects of forest landscapes changes across the study area, a 14-year forward simulation was performed using the Markov model as to determine the spatial extent offuturistic forest cover changes. The results showed that if this current trend of forest coverchange continued, 28,121 hectares of forests would be lost to deforestation in 2028 (approximately 16% of the total landmass of the entire study area). Using Maxent modeling, suitable primate habitats were predicted and the total coverage determined as 30,940 hectares (54.4% situated in CRNP—Okwangwo division, 29.4% in AMWS, 14.3% in Mbe Mountains and 1.9% in ARFR). Further analysis revealed 6468 hectares of predicted primate habitat were affected by deforestation in 2014 (21% of the predicted primate habitats). These results indicate that suitableprimate habitats (particularly for gorillas and chimpanzees) are under immense pressure fromdeforestation and forest fragmentation. This paper presents a cost effective and time saving approach for determining suitable primate habitats and understanding the effects of forest transition on primate habitat suitability.

KW - Maxent

KW - Remote Sensing

KW - Primates

KW - GIS

KW - Deforestation

KW - Markov

KW - FRAGSTATS

U2 - 10.4236/gep.2015.38003

DO - 10.4236/gep.2015.38003

M3 - Journal article

VL - 3

SP - 23

EP - 38

JO - Journal of Geoscience and Environment Protection

JF - Journal of Geoscience and Environment Protection

SN - 2327-4344

ER -