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Sci Rep. 2017 Apr 10;7:46073. doi: 10.1038/srep46073.

Constructing Ecological Networks Based on Habitat Quality Assessment: A Case Study of Changzhou, China.

Gao Y1,2,3, Ma L1,2,3, Liu J1,2,3, Zhuang Z1,2,3, Huang Q1,2,3, Li M1,2,3.

Author information

1
Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China.
2
School of Geographic and oceanographic sciences, Nanjing University, Nanjing 210023, China.
3
Collaborative Innovation Center for the South Sea Studies, Nanjing University, Nanjing 210023, China.

Abstract

Fragmentation and reduced continuity of habitat patches threaten the environment and biodiversity. Recently, ecological networks are increasingly attracting the attention of researchers as they provide fundamental frameworks for environmental protection. This study suggests a set of procedures to construct an ecological network. First, we proposed a method to construct a landscape resistance surface based on the assessment of habitat quality. Second, to analyze the effect of the resistance surface on corridor simulations, we used three methods to construct resistance surfaces: (1) the method proposed in this paper, (2) the entropy coefficient method, and (3) the expert scoring method. Then, we integrated habitat patches and resistance surfaces to identify potential corridors using graph theory. These procedures were tested in Changzhou, China. Comparing the outputs of using different resistance surfaces demonstrated that: (1) different landscape resistance surfaces contribute to how corridors are identified, but only slightly affect the assessment of the importance of habitat patches and potential corridors; (2) the resistance surface, which is constructed based on habitat quality, is more applicable to corridor simulations; and (3) the assessment of the importance of habitat patches is fundamental for ecological network optimization in the conservation of critical habitat patches and corridors.

PMID:
28393879
PMCID:
PMC5385553
DOI:
10.1038/srep46073
[Indexed for MEDLINE]
Free PMC Article

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