[Improvement and application for ecological networks using landscape pattern and connectivity methods.]

Clicks: 205
ID: 51714
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #37 of 40 articles by views in Ying yong sheng tai xue bao = The journal of applied ecology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
In landscape ecology, the target species ecological network is often constructed by the least-cost path model (hereafter LCPM) to improve landscape connectivity among discrete habitats and to mitigate the negative impacts of habitat fragmentation. Nevertheless, the traditional ecological network method based on LCRM has insufficient understanding of landscape structure changes and ecological processes of research site. We used landscape pattern index and connectivity probability index to quantitatively evaluate the landscape structure and connectivity characteristics of the research area before and after the construction of the ecological network. The ecological network of the habitat of Presbytis leucocephalus, located in Chongzuo, Guangxi Province, was used as an example to describe the optimization and application of this method in detail. We identified the habitat and stepping stone patches of the target species, classified land use types of the study area, set up different resistant values, and obtained 20 corridors of ecological network using LCPM. The results showed that LCRM could effectively improve habitat integrity and continuity, reduce overall fragmentation level, and improve habitat quality based on the structural and functional connectivity evaluation by landscape pattern index and connectivity probability index. Meanwhile, its construction could improve the structural connectivity and functional connectivity of the habitat landscape, with significant consistency of the connection degree changes in both aspects (R=98.3%, P<0.01). However, the relationship between landscape structure changes and functional connectivity caused by the network was not strong, and their relationship was not as significant as the inherent relationship between the structure and function.
Reference Key
liu2019improvementying Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Liu, Jun Jie;Chen, Jing Ru;Lai, Yan Ni;Luo, Bo Ya;Zhao, Fang;DU, Qin;
Journal Ying yong sheng tai xue bao = The journal of applied ecology
Year 2019
DOI
10.13287/j.1001-9332.201909.014
URL
Keywords
presbytis leucocephalus ecological corridor landscape connectivity least-cost path

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.