Assessing the accuracy of density‐independent demographic models for predicting species ranges
Assessing the accuracy of density‐independent demographic models for predicting species ranges
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DOI：
10.1111/ecog.05250
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发表时间：
2020-12
期刊：
影响因子：
5.9
通讯作者：
M. Holden;J. Yen;N. J. Briscoe;J. Lahoz‐Monfort;R. Salguero‐Gómez;P. Vesk;G. Guillera‐Arroita
中科院分区：
文献类型：
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作者：
M. Holden;J. Yen;N. J. Briscoe;J. Lahoz‐Monfort;R. Salguero‐Gómez;P. Vesk;G. Guillera‐Arroita
研究结果表明，确定性的，密度无关的DDMs是适当的应用程序，定位所有可能的网站，物种可能会出现在优先于减少错误的存在预测在缺席的网站。这使得DDM成为一种很有前途的入侵风险测绘工具。然而，人口统计数据往往是在物种丰富的地点收集的。在这种情况下，密度无关的DDM是不合适的。
findings suggest that deterministic, density-independent DDMs are appropriate for applications where locating all possible sites the species might occur in is prioritized over reducing false presence predictions in absent sites. This makes DDMs a promising tool for mapping invasion risk. However, demographic data are often collected at sites where a species is abundant. Density-independent DDMs are inappropriate in this case.