| dc.creator |
Shirk, Philip |
|
| dc.creator |
Linden, Daniel W. |
|
| dc.creator |
Patrick, David A. |
|
| dc.creator |
Howell, Kim |
|
| dc.creator |
Harper, Elizabeth B. |
|
| dc.creator |
Vonesh, James R. |
|
| dc.date |
2016-07-18T17:59:21Z |
|
| dc.date |
2016-07-18T17:59:21Z |
|
| dc.date |
2014-09 |
|
| dc.date.accessioned |
2021-05-03T13:29:45Z |
|
| dc.date.available |
2021-05-03T13:29:45Z |
|
| dc.identifier |
Shirk, P.L., Linden, D.W., Patrick, D.A., Howell, K.M., Harper, E.B. and Vonesh, J.R., 2014. Impact of habitat alteration on endemic Afromontane chameleons: evidence for historical population declines using hierarchical spatial modelling. Diversity and Distributions, 20(10), pp.1186-1199. |
|
| dc.identifier |
http://hdl.handle.net/20.500.11810/3251 |
|
| dc.identifier |
10.1111/ddi.12239 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.11810/3251 |
|
| dc.description |
Aim We map estimated historical population declines resulting from species-specific models of sensitivity to habitat fragmentation for three forest-depen-dent chameleons.Location East Usambara Mountains, Eastern Arc Mountains, Tanzania.Methods We surveyed three chameleon species (Rhampholeon spinosus, Rham-pholeon temporalis and Trioceros deremensis) along 32.2 km of transects andused a hierarchical, distance-sampling model to estimate densities. The modelincluded habitat characteristics at the landscape (patch) and local (transect)scales while accounting for detectability. By analysing the model in a Bayesianframework, we were able to propagate error through the entire analysis andobtain exact solutions despite small sample sizes. We then used our estimatedrelationships between habitat and density to project chameleon population sizesacross current and historical land cover maps of the study area (230 km2),giving an estimate of the impact of anthropogenic habitat alteration on thesespecies. |
|
| dc.language |
en |
|
| dc.title |
Impact of Habitat Alteration on Endemic Afromontane Chameleons: Evidence for Historical Population Declines Using Hierarchical Spatial Modelling |
|
| dc.type |
Journal Article, Peer Reviewed |
|