Quantifying high resolution transitional breaks in plant and mammal distributions at regional extent and their association with climate, topography and geology.

<h4>Objectives</h4>We quantify spatial turnover in communities of 1939 plant and 59 mammal species at 2.5 km resolution across a topographically heterogeneous region in south-eastern Australia to identify distributional breaks and low turnover zones where multiple species distributions o...

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Autores principales: Giovanni Di Virgilio, Shawn W Laffan, Malte C Ebach
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Publicado: Public Library of Science (PLoS) 2013
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spelling oai:doaj.org-article:4dfaeb4ad0df4f3fb9e79e0d6ca00e082021-11-18T07:51:16ZQuantifying high resolution transitional breaks in plant and mammal distributions at regional extent and their association with climate, topography and geology.1932-620310.1371/journal.pone.0059227https://doaj.org/article/4dfaeb4ad0df4f3fb9e79e0d6ca00e082013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23560044/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objectives</h4>We quantify spatial turnover in communities of 1939 plant and 59 mammal species at 2.5 km resolution across a topographically heterogeneous region in south-eastern Australia to identify distributional breaks and low turnover zones where multiple species distributions overlap. Environmental turnover is measured to determine how climate, topography and geology influence biotic turnover differently across a variety of biogeographic breaks and overlaps. We identify the genera driving turnover and confirm the versatility of this approach across spatial scales and locations.<h4>Methods</h4>Directional moving window analyses, rotated through 360°, were used to measure spatial turnover variation in different directions between gridded cells containing georeferenced plant and mammal occurrences and environmental variables. Generalised linear models were used to compare taxic turnover results with equivalent analyses for geology, regolith weathering, elevation, slope, solar radiation, annual precipitation and annual mean temperature, both uniformly across the entire study area and by stratifying it into zones of high and low turnover. Identified breaks and transitions were compared to a conservation bioregionalisation framework widely used in Australia.<h4>Results/significance</h4>Detailed delineations of plant and mammal turnover zones with gradational boundaries denoted subtle variation in species assemblages. Turnover patterns often diverged from bioregion boundaries, though plant turnover adhered most closely. A prominent break zone contained either comparable or greater numbers of unique genera than adjacent overlaps, but these were concentrated in a small subsection relatively under-protected by conservation reserves. The environmental correlates of biotic turnover varied for different turnover zones in different subsections of the study area. Topography and temperature showed much stronger relationships with plant turnover in a topographically complex overlap, relative to a lowland overlap where weathering was most predictive. This method can quantify transitional turnover patterns from small to broad extents, at different resolutions for any location, and complements broad-scale bioregionalisation schemes in conservation planning.Giovanni Di VirgilioShawn W LaffanMalte C EbachPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 4, p e59227 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Giovanni Di Virgilio
Shawn W Laffan
Malte C Ebach
Quantifying high resolution transitional breaks in plant and mammal distributions at regional extent and their association with climate, topography and geology.
description <h4>Objectives</h4>We quantify spatial turnover in communities of 1939 plant and 59 mammal species at 2.5 km resolution across a topographically heterogeneous region in south-eastern Australia to identify distributional breaks and low turnover zones where multiple species distributions overlap. Environmental turnover is measured to determine how climate, topography and geology influence biotic turnover differently across a variety of biogeographic breaks and overlaps. We identify the genera driving turnover and confirm the versatility of this approach across spatial scales and locations.<h4>Methods</h4>Directional moving window analyses, rotated through 360°, were used to measure spatial turnover variation in different directions between gridded cells containing georeferenced plant and mammal occurrences and environmental variables. Generalised linear models were used to compare taxic turnover results with equivalent analyses for geology, regolith weathering, elevation, slope, solar radiation, annual precipitation and annual mean temperature, both uniformly across the entire study area and by stratifying it into zones of high and low turnover. Identified breaks and transitions were compared to a conservation bioregionalisation framework widely used in Australia.<h4>Results/significance</h4>Detailed delineations of plant and mammal turnover zones with gradational boundaries denoted subtle variation in species assemblages. Turnover patterns often diverged from bioregion boundaries, though plant turnover adhered most closely. A prominent break zone contained either comparable or greater numbers of unique genera than adjacent overlaps, but these were concentrated in a small subsection relatively under-protected by conservation reserves. The environmental correlates of biotic turnover varied for different turnover zones in different subsections of the study area. Topography and temperature showed much stronger relationships with plant turnover in a topographically complex overlap, relative to a lowland overlap where weathering was most predictive. This method can quantify transitional turnover patterns from small to broad extents, at different resolutions for any location, and complements broad-scale bioregionalisation schemes in conservation planning.
format article
author Giovanni Di Virgilio
Shawn W Laffan
Malte C Ebach
author_facet Giovanni Di Virgilio
Shawn W Laffan
Malte C Ebach
author_sort Giovanni Di Virgilio
title Quantifying high resolution transitional breaks in plant and mammal distributions at regional extent and their association with climate, topography and geology.
title_short Quantifying high resolution transitional breaks in plant and mammal distributions at regional extent and their association with climate, topography and geology.
title_full Quantifying high resolution transitional breaks in plant and mammal distributions at regional extent and their association with climate, topography and geology.
title_fullStr Quantifying high resolution transitional breaks in plant and mammal distributions at regional extent and their association with climate, topography and geology.
title_full_unstemmed Quantifying high resolution transitional breaks in plant and mammal distributions at regional extent and their association with climate, topography and geology.
title_sort quantifying high resolution transitional breaks in plant and mammal distributions at regional extent and their association with climate, topography and geology.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/4dfaeb4ad0df4f3fb9e79e0d6ca00e08
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AT shawnwlaffan quantifyinghighresolutiontransitionalbreaksinplantandmammaldistributionsatregionalextentandtheirassociationwithclimatetopographyandgeology
AT maltecebach quantifyinghighresolutiontransitionalbreaksinplantandmammaldistributionsatregionalextentandtheirassociationwithclimatetopographyandgeology
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