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. Issue 4 (21st April 2023)
- Record Type:
- Journal Article
- Title:
- 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. Issue 4 (21st April 2023)
- Main Title:
- 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
- Authors:
- Nizamani, Mir Muhammad
Papeş, Monica
Wang, Hua‐Feng
Harris, AJ - Abstract:
- 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 varyAbstract: 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. Abstract : The objective of our work was to determine the reliability of species richness estimates from stacked ecological niche models at different spatial extents for taxonomic groups that have vastly different environmental dependencies and interactions. We conclude that stacked ecological niche models may be somewhat poor predictors of species richness 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. … (more)
- Is Part Of:
- Ecology and evolution. Volume 13:Issue 4(2023)
- Journal:
- Ecology and evolution
- Issue:
- Volume 13:Issue 4(2023)
- Issue Display:
- Volume 13, Issue 4 (2023)
- Year:
- 2023
- Volume:
- 13
- Issue:
- 4
- Issue Sort Value:
- 2023-0013-0004-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2023-04-21
- Subjects:
- biodiversity -- biogeography -- floras -- Maxent -- species richness -- stacked species distribution models
Ecology -- Periodicals
Evolution -- Periodicals
577.05 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2045-7758 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ece3.10007 ↗
- Languages:
- English
- ISSNs:
- 2045-7758
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 27101.xml