Figure 1.
Sampling arrays layout in the proposed corridor area.
Arrays A, B and C are located in Niuweihe Nature Reserve, arrays E, F, G, and H were located in Huangbaiyuan and Changqing Nature Reserves, and array D was located between nature reserves along the Xushui River Valley (A).The grey color in lower two figures indicates the known giant panda distribution. The study area was in the western region of Qinling Mountains (B), and located in the center of China (C).
Table 1.
Covariates collected for occupancy and detection probabilities.
Figure 2.
Partial correlation between giant panda occupancy probability and each environmental variable.
The model-averaged weights is 1.00 for elevation (A), 0.46 to distance to road (B), 1.00 for distance to large residences (C), 0.30 for slope (D), 1.00 for forest age (E), and 0.45 for bamboo distribution (F).
Table 2.
Top models for predicting the occupancy probability of giant panda.
Figure 3.
Maps for habitat connectivity and potential corridors.
Habitat connectivity (A) predicted from occupancy model, and potential corridors (B) predicted by least-cost and circuit model.