Expert-based range maps cannot be replicated using data-driven methods but macroecological conclusions arising from them can

IF 3.4 2区 环境科学与生态学 Q2 ECOLOGY
Heléne Aronsson, Alexander Zizka, Alexandre Antonelli, Søren Faurby
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引用次数: 0

Abstract

Aim

Answering many fundamental and applied scientific questions relies on accurate geographic range maps for species, such as those compiled by experts working with the International Union for Conservation of Nature (IUCN). However, these maps are resource demanding to produce and only available for a limited number of organisms. Here, we test to what extent standardized, data-driven methods based on publicly available occurrences can reproduce expert-based IUCN range maps and the macroecological conclusions drawn from them.

Location

Global.

Time Period

Present.

Taxa

Birds.

Materials and Methods

We estimated the geographic ranges for 7385 non-marine bird species which either were non-migratory or had spatially connected breeding and wintering ranges from publicly available, georeferenced point occurrences. We then quantified the spatial overlap between these range estimates and the IUCN expert-derived range estimates. Finally, we compared global species richness patterns and the environmental correlates that emerge from both approaches.

Results

We find that range estimates based on point occurrence records overlap on average 52% with expert range estimates for the same species. The global species richness patterns estimated under both approaches are overall similar but show local and regional differences, for example, in the tropical Andes of northern South America and the Central Arc region of Africa. The estimated global drivers of richness are similar.

Main Conclusions

Expert-derived estimates of species distributions are not reproducible by data-driven approaches relying on currently available public records, even for well-documented taxa such as birds. However, these discrepancies do not substantially change our macroecological understanding of global drivers of bird diversity.

Abstract Image

专家绘制的范围图无法用数据驱动的方法复制,但从中得出的宏观生态学结论可以
目的许多基础科学和应用科学问题的解答都有赖于准确的物种地理分布图,例如世界自然保护联盟(IUCN)的专家们所编制的物种地理分布图。然而,这些地图的制作需要大量资源,而且只适用于少数生物。在这里,我们测试了基于公开出现的标准化数据驱动方法在多大程度上可以再现基于专家的世界自然保护联盟分布图以及从中得出的宏观生态学结论。材料与方法 我们通过公开的地理坐标点出现,估算了 7385 种非海洋鸟类的地理分布范围,这些鸟类要么是非迁徙性的,要么是繁殖地和越冬地在空间上相互连接。然后,我们对这些范围估计值与世界自然保护联盟专家得出的范围估计值之间的空间重叠进行了量化。最后,我们比较了这两种方法得出的全球物种丰富度模式和环境相关性。结果我们发现,基于点出现记录的分布区估计值与专家对同一物种的分布区估计值平均重叠 52%。两种方法估算出的全球物种丰富度模式总体上相似,但在局部地区和区域存在差异,例如在南美洲北部的热带安第斯山脉和非洲的中弧地区。主要结论专家对物种分布的估算结果无法通过数据驱动方法进行复制,而数据驱动方法则依赖于当前可用的公共记录,即使是对鸟类等记录详实的类群也是如此。然而,这些差异并没有在很大程度上改变我们对鸟类多样性全球驱动因素的宏观生态学理解。
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来源期刊
Journal of Biogeography
Journal of Biogeography 环境科学-生态学
CiteScore
7.70
自引率
5.10%
发文量
203
审稿时长
2.2 months
期刊介绍: Papers dealing with all aspects of spatial, ecological and historical biogeography are considered for publication in Journal of Biogeography. The mission of the journal is to contribute to the growth and societal relevance of the discipline of biogeography through its role in the dissemination of biogeographical research.
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