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加拿大艾伯塔省大尺度、无特定物种景观连通性建模的概念框架和不确定性分析。

Conceptual framework and uncertainty analysis for large-scale, species-agnostic modelling of landscape connectivity across Alberta, Canada.

机构信息

Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.

EDYSAN (Ecologie et Dynamique des Systèmes Anthropisés) UMR 7058 CNRS-Université de Picardie Jules Verne, 33 rue Saint Leu, F-80039, Amiens, France.

出版信息

Sci Rep. 2020 Apr 22;10(1):6798. doi: 10.1038/s41598-020-63545-z.

DOI:10.1038/s41598-020-63545-z
PMID:32321948
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7176682/
Abstract

Sustainable land-use planning should consider large-scale landscape connectivity. Commonly-used species-specific connectivity models are difficult to generalize for a wide range of taxa. In the context of multi-functional land-use planning, there is growing interest in species-agnostic approaches, modelling connectivity as a function of human landscape modification. We propose a conceptual framework, apply it to model connectivity as current density across Alberta, Canada, and assess map sensitivity to modelling decisions. We directly compared the uncertainty related to (1) the definition of the degree of human modification, (2) the decision whether water bodies are considered barriers to movement, and (3) the scaling function used to translate degree of human modification into resistance values. Connectivity maps were most sensitive to the consideration of water as barrier to movement, followed by the choice of scaling function, whereas maps were more robust to different conceptualizations of the degree of human modification. We observed higher concordance among cells with high (standardized) current density values than among cells with low values, which supports the identification of cells contributing to larger-scale connectivity based on a cut-off value. We conclude that every parameter in species-agnostic connectivity modelling requires attention, not only the definition of often-criticized expert-based degrees of human modification.

摘要

可持续土地利用规划应考虑大规模景观连通性。常用的特定物种连通性模型难以推广到广泛的分类群。在多功能土地利用规划的背景下,人们越来越关注无物种特异性的方法,将连通性建模为人类景观改造的函数。我们提出了一个概念框架,将其应用于模拟加拿大艾伯塔省的当前密度连通性,并评估了模型决策对地图的敏感性。我们直接比较了以下三个方面的不确定性:(1)人类改造程度的定义;(2)是否将水体视为运动障碍的决策;(3)将人类改造程度转化为阻力值的缩放函数。连通性图对将水体视为运动障碍的考虑最为敏感,其次是缩放函数的选择,而对人类改造程度的不同概念化则更为稳健。我们观察到,具有高(标准化)电流密度值的单元之间的一致性高于具有低电流密度值的单元之间的一致性,这支持了根据截止值确定对较大规模连通性有贡献的单元的识别。我们得出结论,无物种特异性连通性建模中的每个参数都需要关注,而不仅仅是经常受到批评的基于专家的人类改造程度的定义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/33b4528ac920/41598_2020_63545_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/192179aca4ea/41598_2020_63545_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/ec7a0bf1e3f9/41598_2020_63545_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/8cf1678907d9/41598_2020_63545_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/729b737f3913/41598_2020_63545_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/2e4b624d08a4/41598_2020_63545_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/33b4528ac920/41598_2020_63545_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/192179aca4ea/41598_2020_63545_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/ec7a0bf1e3f9/41598_2020_63545_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/8cf1678907d9/41598_2020_63545_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/729b737f3913/41598_2020_63545_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/2e4b624d08a4/41598_2020_63545_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d9e/7176682/33b4528ac920/41598_2020_63545_Fig6_HTML.jpg

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