Patterns of species richness hotspots and estimates of their protection are sensitive to spatial resolution. McKerrow, A. J., Tarr, N. M., Rubino, M. J., & Williams, S. G. Diversity and Distributions. ![Patterns of species richness hotspots and estimates of their protection are sensitive to spatial resolution [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Aim Species richness is a measure of biodiversity often used in spatial conservation assessments and mapped by summing species distribution maps. Commission errors inherent those maps influence richness patterns and conservation assessments. We sought to further the understanding of the sensitivity of hotspot delineation methods and conservation assessments to commission errors, and choice of threshold for hotspot delineation. Location United States. Methods We created range maps and 30-m and 1-km resolution habitat maps for terrestrial vertebrates in the United States and generated species richness maps with each dataset. With the richness maps and the GAP Protected Areas Dataset, we created species richness hotspot maps and calculated the proportion of hotspots within protected areas; calculating protection under a range of thresholds for defining hotspots. Our method allowed us to identify the influence of commission errors by comparing hotspot maps. Results Commission errors from coarse spatial grain data and lack of porosity in the range data inflated richness estimates and altered their spatial patterns. Coincidence of hotspots from different data types was low. The 30-m hotspots were spatially dispersed, and some were very long distances from the hotspots mapped with coarser data. Estimates of protection were low for each of the taxa. The relationship between estimates of hotspot protection and threshold choice was nonlinear and inconsistent among data types (habitat and range) and grain size (30-m and 1-km). Main conclusions Coarse mapping methods and grain sizes can introduce commission errors into species distribution data that could result in misidentifications of the regions where hotspots occur and affect estimates of hotspot protection. Hotspot conservation assessments are also sensitive to choice of threshold for hotspot delineation. There is value in developing species distribution maps with high resolution and low rates of commission error for conservation assessments.
@article{mckerrow_patterns_nodate,
title = {Patterns of species richness hotspots and estimates of their protection are sensitive to spatial resolution},
volume = {0},
copyright = {© 2018 The Authors.
Diversity and Distributions Published by John Wiley \& Sons Ltd.},
issn = {1472-4642},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/ddi.12779},
doi = {10.1111/ddi.12779},
abstract = {Aim Species richness is a measure of biodiversity often used in spatial conservation assessments and mapped by summing species distribution maps. Commission errors inherent those maps influence richness patterns and conservation assessments. We sought to further the understanding of the sensitivity of hotspot delineation methods and conservation assessments to commission errors, and choice of threshold for hotspot delineation. Location United States. Methods We created range maps and 30-m and 1-km resolution habitat maps for terrestrial vertebrates in the United States and generated species richness maps with each dataset. With the richness maps and the GAP Protected Areas Dataset, we created species richness hotspot maps and calculated the proportion of hotspots within protected areas; calculating protection under a range of thresholds for defining hotspots. Our method allowed us to identify the influence of commission errors by comparing hotspot maps. Results Commission errors from coarse spatial grain data and lack of porosity in the range data inflated richness estimates and altered their spatial patterns. Coincidence of hotspots from different data types was low. The 30-m hotspots were spatially dispersed, and some were very long distances from the hotspots mapped with coarser data. Estimates of protection were low for each of the taxa. The relationship between estimates of hotspot protection and threshold choice was nonlinear and inconsistent among data types (habitat and range) and grain size (30-m and 1-km). Main conclusions Coarse mapping methods and grain sizes can introduce commission errors into species distribution data that could result in misidentifications of the regions where hotspots occur and affect estimates of hotspot protection. Hotspot conservation assessments are also sensitive to choice of threshold for hotspot delineation. There is value in developing species distribution maps with high resolution and low rates of commission error for conservation assessments.},
language = {en},
number = {0},
urldate = {2018-05-30TZ},
journal = {Diversity and Distributions},
author = {McKerrow, Alexa J. and Tarr, Nathan M. and Rubino, Matthew J. and Williams, Steven G.},
keywords = {biodiversity, habitat models, hotspots, map resolution, protected areas, species protection, species richness}
}
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Diversity and Distributions Published by John Wiley & Sons Ltd.","issn":"1472-4642","url":"https://onlinelibrary.wiley.com/doi/abs/10.1111/ddi.12779","doi":"10.1111/ddi.12779","abstract":"Aim Species richness is a measure of biodiversity often used in spatial conservation assessments and mapped by summing species distribution maps. Commission errors inherent those maps influence richness patterns and conservation assessments. We sought to further the understanding of the sensitivity of hotspot delineation methods and conservation assessments to commission errors, and choice of threshold for hotspot delineation. Location United States. Methods We created range maps and 30-m and 1-km resolution habitat maps for terrestrial vertebrates in the United States and generated species richness maps with each dataset. With the richness maps and the GAP Protected Areas Dataset, we created species richness hotspot maps and calculated the proportion of hotspots within protected areas; calculating protection under a range of thresholds for defining hotspots. Our method allowed us to identify the influence of commission errors by comparing hotspot maps. Results Commission errors from coarse spatial grain data and lack of porosity in the range data inflated richness estimates and altered their spatial patterns. Coincidence of hotspots from different data types was low. The 30-m hotspots were spatially dispersed, and some were very long distances from the hotspots mapped with coarser data. Estimates of protection were low for each of the taxa. The relationship between estimates of hotspot protection and threshold choice was nonlinear and inconsistent among data types (habitat and range) and grain size (30-m and 1-km). Main conclusions Coarse mapping methods and grain sizes can introduce commission errors into species distribution data that could result in misidentifications of the regions where hotspots occur and affect estimates of hotspot protection. Hotspot conservation assessments are also sensitive to choice of threshold for hotspot delineation. There is value in developing species distribution maps with high resolution and low rates of commission error for conservation assessments.","language":"en","number":"0","urldate":"2018-05-30TZ","journal":"Diversity and Distributions","author":[{"propositions":[],"lastnames":["McKerrow"],"firstnames":["Alexa","J."],"suffixes":[]},{"propositions":[],"lastnames":["Tarr"],"firstnames":["Nathan","M."],"suffixes":[]},{"propositions":[],"lastnames":["Rubino"],"firstnames":["Matthew","J."],"suffixes":[]},{"propositions":[],"lastnames":["Williams"],"firstnames":["Steven","G."],"suffixes":[]}],"keywords":"biodiversity, habitat models, hotspots, map resolution, protected areas, species protection, species richness","bibtex":"@article{mckerrow_patterns_nodate,\n\ttitle = {Patterns of species richness hotspots and estimates of their protection are sensitive to spatial resolution},\n\tvolume = {0},\n\tcopyright = {© 2018 The Authors. \n Diversity and Distributions Published by John Wiley \\& Sons Ltd.},\n\tissn = {1472-4642},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1111/ddi.12779},\n\tdoi = {10.1111/ddi.12779},\n\tabstract = {Aim Species richness is a measure of biodiversity often used in spatial conservation assessments and mapped by summing species distribution maps. Commission errors inherent those maps influence richness patterns and conservation assessments. We sought to further the understanding of the sensitivity of hotspot delineation methods and conservation assessments to commission errors, and choice of threshold for hotspot delineation. Location United States. Methods We created range maps and 30-m and 1-km resolution habitat maps for terrestrial vertebrates in the United States and generated species richness maps with each dataset. With the richness maps and the GAP Protected Areas Dataset, we created species richness hotspot maps and calculated the proportion of hotspots within protected areas; calculating protection under a range of thresholds for defining hotspots. Our method allowed us to identify the influence of commission errors by comparing hotspot maps. Results Commission errors from coarse spatial grain data and lack of porosity in the range data inflated richness estimates and altered their spatial patterns. Coincidence of hotspots from different data types was low. The 30-m hotspots were spatially dispersed, and some were very long distances from the hotspots mapped with coarser data. Estimates of protection were low for each of the taxa. The relationship between estimates of hotspot protection and threshold choice was nonlinear and inconsistent among data types (habitat and range) and grain size (30-m and 1-km). Main conclusions Coarse mapping methods and grain sizes can introduce commission errors into species distribution data that could result in misidentifications of the regions where hotspots occur and affect estimates of hotspot protection. Hotspot conservation assessments are also sensitive to choice of threshold for hotspot delineation. There is value in developing species distribution maps with high resolution and low rates of commission error for conservation assessments.},\n\tlanguage = {en},\n\tnumber = {0},\n\turldate = {2018-05-30TZ},\n\tjournal = {Diversity and Distributions},\n\tauthor = {McKerrow, Alexa J. and Tarr, Nathan M. and Rubino, Matthew J. and Williams, Steven G.},\n\tkeywords = {biodiversity, habitat models, hotspots, map resolution, protected areas, species protection, species richness}\n}\n\n","author_short":["McKerrow, A. J.","Tarr, N. M.","Rubino, M. J.","Williams, S. 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