Evidence map›Paper›PMID 37091570›Full record

ArticleEcology and evolution2023

How does spatial extent and environmental limits affect the accuracy of species richness estimates from ecological niche models? A case study with North American Pinaceae and Cactaceae.

Mir Muhammad Nizamani, Monica Papeş, Hua-Feng Wang, A J Harris

Abstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Potential planting regions ofEcology and evolution · 2024
    Article
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mir Muhammad NizamaniSanya Nanfan Research Institute of Hainan University, Hainan Yazhou Bay Seed Laboratory Sanya China.ORCID https://orcid.org/0000-0002-8709-9212
Monica PapeşDepartment of Ecology and Evolutionary Biology University of Tennessee Knoxville Tennessee USA.
Hua-Feng WangSanya Nanfan Research Institute of Hainan University, Hainan Yazhou Bay Seed Laboratory Sanya China.ORCID https://orcid.org/0000-0003-3331-2898
A J HarrisSouth China Botanical Garden, Chinese Academy of Science Guangzhou China.ORCID https://orcid.org/0000-0003-3215-1201

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring species richness at varying spatial extents can be challenging, especially at large extents where exhaustive species surveys are difficult or impossible. Our work aimed at determining the reliability of species richness estimates from stacked ecological niche models at different spatial extents for taxonomic groups with vastly different environmental dependencies and interactions. To accomplish this, we generated ecological niche models for the species of Cactaceae and Pinaceae that occur within 180 published floras from North America north of Mexico. We overlaid or stacked the resulting species' potential distribution estimates over the bounding boxes representing each of the 180 floras to generate predictions of species richness. In general, our stacked models of Cactaceae and Pinaceae were poor predictors of species richness. The relationships between observed and predicted values improved noticeably with the size of spatial extents. However, the stacked models tended to overpredict the richness of Cactaceae and over- and underpredict the richness of Pinaceae. Cactaceae stacked models showed higher sensitivity and lower specificity than those for Pinaceae. We conclude that stacked ecological niche models may be somewhat poor predictors of species richness at smaller spatial extents and should be used with caution for this purpose. Perhaps more importantly, abilities to compensate for their limitations or apply corrections to their reliability may vary with taxonomic groups.

Indexed as

biodiversitybiogeographyflorasMaxentspecies richnessstacked species distribution models

Identifiers

PMID37091570
PMCPMC10121319

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