The strengths and weaknesses of species distribution models in biome delimitation
The strengths and weaknesses of species distribution models in biome delimitation
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生物群落划界中物种分布模型的优缺点
DOI：
10.1111/geb.13149
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发表时间：
2020
影响因子：
6.4
通讯作者：
T. Särkinen
中科院分区：
文献类型：
--
作者：
P. Moonlight;P. L. Silva de Miranda;D. Cardoso;K. Dexter;A. Oliveira;R. Pennington;Gustavo Ramos;T. Särkinen
目的：目的是检验物种分布模型（SDMs）是否能再现物种丰富的热带地区的主要宏观生态模式，并为在生物资源调查数据稀少的地区使用SDMs提供建议。研究方法：从堆叠的SDMs（S-SDMs）得出的物种组成估计数与来自巴西东北部的933种木本植物物种的1，506份清单的数据进行了比较。这两个数据集被用于层次聚类分析，以划定对应于生物群系的植物区系单位。S-SDM预测生物群落的身份，功能组成和植物区系组成的能力进行了比较，在地理和环境空间。结果如下：S-SDM和库存数据都解决了四个主要的生物群落，在很大程度上对应于它们的分布，植物区系和功能。s-SDM被证明在识别大规模生物群落及其功能方面非常出色，但在复杂的稀树草原森林镶嵌中，却错误地识别了许多单独的地点。主要结论：我们的结果表明，s-SDM在描述缺乏库存数据的地区和鲜为人知的分类群的宏观生态模式方面发挥着独特的作用。s-SDM准确地预测植物区系和功能的宏观生态格局，但在非气候因素，如火或土壤，发挥关键作用，在管理分布的地区斗争。
Aim: The aim was to test whether species distribution models (SDMs) can reproduce major macroecological patterns in a species-rich, tropical region and provide recom-mendations for using SDMs in areas with sparse biotic inventory data. Methods: Species composition estimates derived from stacked SDMs (s-SDMs) were compared with data from 1,506 inventories of 933 woody plant species from north-east Brazil. Both datasets were used in hierarchical clustering analyses to delimit floristic units that correspond to biomes. The ability of s-SDMs to predict the identity, functional composition and floristic composition of biomes was compared across geographical and environmental space. Results: The s-SDMs and inventory data both resolved four major biomes that largely corresponded in terms of their distribution, floristics and function. The s-SDMs proved excellent at identifying broad-scale biomes and their function, but misas-signed many individual sites in complex savanna–forest mosaics. Main conclusions: Our results show that s-SDMs have a unique role to play in de-scribing macroecological patterns in areas lacking inventory data and for poorly known taxa. s-SDMs accurately predict floristic and functional macroecological patterns but struggle in areas where non-climatic factors, such as fire or soil, play key roles in governing distributions.
影响因子：
3.9
作者：
A. Fayolle;M. Swaine;J. Aleman;A. Azihou;D. Bauman;M. te Beest;E. Chidumayo;J. Cromsigt;H. Dessard;M. Finckh;F. M. Gonçalves;Jean‐François Gillet;Anaïs‐Pasiphaé Gorel;A. Hick;R. Holdo;B. Kirunda;G. Mahy;I. McNicol;C. Ryan;R. Revermann;A. Plumptre;R. Pritchard;Paula Nieto-Quintano;C. Schmitt;J. Seghieri;A. Swemmer;H. Talila;E. Woollen
通讯作者：
A. Fayolle;M. Swaine;J. Aleman;A. Azihou;D. Bauman;M. te Beest;E. Chidumayo;J. Cromsigt;H. Dessard;M. Finckh;F. M. Gonçalves;Jean‐François Gillet;Anaïs‐Pasiphaé Gorel;A. Hick;R. Holdo;B. Kirunda;G. Mahy;I. McNicol;C. Ryan;R. Revermann;A. Plumptre;R. Pritchard;Paula Nieto-Quintano;C. Schmitt;J. Seghieri;A. Swemmer;H. Talila;E. Woollen
影响因子：
5.5
作者：
Bueno, Marcelo Leandro;Dexter, Kyle G.;de Oliveira-Filho, Ary Teixeira
通讯作者：
de Oliveira-Filho, Ary Teixeira