| Title | Gauging the impact of management expertise on the distribution of large mammals across protected areas |
| Authors | Li, Sheng McShea, William J. Wang, Dajun Lu, Zhi Gu, Xiaodong |
| Affiliation | Smithsonian Conservat Biol Inst, Front Royal, VA 22630 USA. Peking Univ, Sch Life Sci, Ctr Nat & Soc, Beijing 100871, Peoples R China. Shanshui Conservat Ctr, Beijing 100871, Peoples R China. Sichuan Forestry Dept, Chengdu 610081, Peoples R China. Smithsonian Conservat Biol Inst, 1500 Remount Rd, Front Royal, VA 22630 USA. |
| Keywords | Camera-trapping large mammals management effectiveness occupancy modelling protected area network ESTIMATING SITE OCCUPANCY GIANT PANDAS SICHUAN PROVINCE NATURE-RESERVE CONSERVATION CHINA BIODIVERSITY DIVERSITY ECOLOGY DEFORESTATION |
| Issue Date | 2012 |
| Publisher | diversity and distributions |
| Citation | DIVERSITY AND DISTRIBUTIONS.2012,18,(12),1166-1176. |
| Abstract | Aim The world's network of protected areas (PAs) plays a critical role in biodiversity conservation. The management expertise within PAs is a function of the training, support and depth of the staff tasked with protecting the resources and should be a significant factor determining the distribution of wildlife species. However, there are few measurable linkages between wildlife populations and management effectiveness. Here, we addressed whether the management expertise within a PA is an important covariate explaining the occupancy of large terrestrial mammals, and identify the attributes of mammal species that would be effective for comparative monitoring of management effectiveness within PAs of developing countries. Location Six PAs within giant panda region, south-west China. Methods We used systematic camera-trapping as the primary field methodology to detect the presence of large mammals and used expert scoring to assess the management level of these PAs. Occupancy modelling and logistic regression were used to determine those mammal species with adequate detections to control for ecological covariates and to compare differences in management level between the sampled PAs. Results Thirty-eight mammal species were recorded with a total sampling effort of 16,521 camera-days at 722 sample sites. Among the 14 examined mammals, Takin (Budorcas taxicolor) was the most detected mammal (333 detections at 153 locations), whereas Asiatic black bear (Ursus thibetanus) was estimated with the highest occupancy rate (psi = 0.49) and leopard cat (Prionailurus bengalensis) was estimated with the highest detection probability (P = 0.55). The independently assessed estimate of management expertise was a significant positive predictor for the occupancy of 11 of the 14 mammal species. Main conclusions Our results suggest that there are measurable consequences for increasing PA patrolling and that standardized monitoring of large mammals is an adequate comparative measure of management effectiveness across diverse PAs that experience extensive poaching pressure. |
| URI | http://hdl.handle.net/20.500.11897/228993 |
| ISSN | 1366-9516 |
| DOI | 10.1111/j.1472-4642.2012.00907.x |
| Indexed | SCI(E) |
| Appears in Collections: | 生命科学学院 |
