Do Giant Pandas Prefer Steeper Habitats? A Case Study on Panda Spatial Utilization in the Qinling Mountains, China

Animal-trace data from the Third and the Fourth National Giant Panda Survey in the four reserves in the Shaanxi Qinling Mountains (Laoxiancheng, Foping, Changqing, and Huangbaiyuan) suggested that giant pandas unexpectedly have a lower occurrence rate in gentle locations. To explore the cause of this apparently counterintuitive preference, we used spatial and data analysis tools to analyze the spatial composition of the daily activity zones, the relative quantity of traces, the trace density, and the slope supply of the reserves. We found that the slope composition around gentle slopes and steep slopes is similar, with more traces clustered around gentle slopes. The area of the reserves with a 5°-15° slope is very small, and the density of traces is negatively correlated with the slope. So the slope distribution of giant panda traces is highly correlated with environmental supply. A reduced supply of suitable habitats leads to diminished availability, ultimately resulting in a narrower distribution range for giant pandas.In addition, combining the spatial supply situation, the use of trace density can more accurately reflect animal habitat selection preferences, which is more in line with the optimal foraging theory and animal habits. This study provides insights that should benefit future assessment and restoration of their habitats.

Authors

Institutions

Publication Details

Journal
Ecology and Evolution
Published
2025-03-01
DOI
https://doi.org/10.1002/ece3.71074
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do Giant Pandas Prefer Steeper Habitats? A Case Study on Panda Spatial Utilization in the Qinling Mountains, China

Chun Yang, Wanyu Wen, Xinyu Li, Yuhang Wang et al.
Ecology and Evolution
Wildlife Ecology and Conservation
article

Do Giant Pandas Prefer Steeper Habitats? A Case Study on Panda Spatial Utilization in the Qinling Mountains, China

Chun Yang, Wanyu Wen, Xinyu Li, Yuhang Wang, Chunjie Li, Minghao Gong, Zhijiao Yang, Simeng Yang
article en

Abstract

Animal-trace data from the Third and the Fourth National Giant Panda Survey in the four reserves in the Shaanxi Qinling Mountains (Laoxiancheng, Foping, Changqing, and Huangbaiyuan) suggested that giant pandas unexpectedly have a lower occurrence rate in gentle locations. To explore the cause of this apparently counterintuitive preference, we used spatial and data analysis tools to analyze the spatial composition of the daily activity zones, the relative quantity of traces, the trace density, and the slope supply of the reserves. We found that the slope composition around gentle slopes and steep slopes is similar, with more traces clustered around gentle slopes. The area of the reserves with a 5°-15° slope is very small, and the density of traces is negatively correlated with the slope. So the slope distribution of giant panda traces is highly correlated with environmental supply. A reduced supply of suitable habitats leads to diminished availability, ultimately resulting in a narrower distribution range for giant pandas.In addition, combining the spatial supply situation, the use of trace density can more accurately reflect animal habitat selection preferences, which is more in line with the optimal foraging theory and animal habits. This study provides insights that should benefit future assessment and restoration of their habitats.

Ecology and EvolutionVol. 15(3)
Institute of Wetland Research (CN), Chinese Academy of Forestry (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 96%
Wildlife Ecology and Conservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Do Giant Pandas Prefer Steeper Habitats? A Case Study on Panda Spatial Utilization in the Qinling Mountains, China — Chun Yang, Wanyu Wen, et al. · Ecology and Evolution (2025) | TGRS Research Map | TGRS