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- Title
基于MaxEnt模型的道路对朱鹮繁殖地的影响.
- Authors
张慧; 高吉喜; 马孟枭; 邵方泽; 王桥; 李广宇; 仇洁; 周可新
- Abstract
: Quantitative study on effects of roads on suitable breeding habitats of wildlife is one of topics that need in-depth research in road ecology. Crested ibis (Nipponia nippon), a first class nationally protected bird species, is the species of interest in this research. Using the Maximum Entropy Models (MaxEnt) in the Species Distribution Model (SDM) toolbox of ArcGIS, autocorrelation of environmental variables were analyzed and environmental variables with r>0.8 were removed. Ten environmental variables were chosen as impact factors for the breeding habitat of crested ibis, including mean temperature of coldest quarter, landscape type, normalized difference vegetation index (NDVI), slope, aspect, distance to waters, distance to paddy field, distance to high-grade roads (expressway, national way, provincial way), and distance to low-grade roads (country road). By analyzing the contribution rate of each environmental variable, the results showed that the mean temperature of coldest quarter, landscape type, distance to paddy field, and distance to high-grade roads were the main factors determining breeding habitat of crested ibis. The suitable distribution of crested ibis ' nesting area was under the following scenarios : variable road present (scenario I) high-grade road absent (scenario JI), and low-grade road absent (scenario ID). The results showed that the presence ol roads afiected suitable nesting areas ol crested ibis with high-grade roads showing a larger influence than low-grade roads. The presence ol high-grade roads and lowgrade roads decreased the suitable nesting areas of crested ibis by 66.23 and 35.69 km2, respectively. The crested ibis preferred to nest in areas distant from high-grade roads, with an average road avoidance distance of 1500 m. This study was of great significance for formulating management measures to protect crested ibis and provide a reference for quantitative assessment on impacts of engineering and construction projects on wildlife.
- Publication
Yingyong Shengtai Xuebao, 2017, Vol 28, Issue 4, p1352
- ISSN
1001-9332
- Publication type
Article
- DOI
10.13287/j.1001-9332.201704.023