Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions
Identifieur interne : 007E91 ( Main/Curation ); précédent : 007E90; suivant : 007E92Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions
Auteurs : Linda J. Beaumont [France, Australie] ; Rachael V. Gallagher ; Wilfried Thuiller [France] ; Paul O. Downey ; Michelle R. Leishman ; Lesley HughesSource :
- Diversity and Distributions [ 1366-9516 ] ; 2009-05.
Descripteurs français
- Pascal (Inist)
- Wicri :
English descriptors
- KwdEn :
- Absence data, Alien plant invasions, Aurantiacum, Australian distributions, Australian weed management, Authors diversity, Biodiversity, Biogeography, Biological invasion, Biological invasions, Biological sciences, Biotic constraints, Blackwell publishing, Broennimann, Calibrate models, Class analysis, Class inertia ratio, Climate, Climate change, Climate change impacts, Climate models, Climate scenarios, Climatic, Climatic condition, Climatic envelope, Climatic niche, Climatic niche differences, Climatic niches, Climatic variables, Current climate, Current distributions, Current european, Current science, Darker colours, Data bases, Dispersal limitations, Distribution records, Disturbance regimes, Ecological, Ecological modelling, Ecological niche, Ecological niche models, Ecology, Ecology letters, Emissions scenarios, Enms, Entire range, Entire ranges, Fundamental niche, Future climates, Future distributions, Genetic drift, Genetic variability, Genus hieracium, Geographical barriers, Geographical constraints, Geographical distribution, Global, Global change biology, Global ecology, Grenoble cedex, Grey scale, Guisan, Hieracium, Hieracium pilosella, Hieracium species, Human population, Invasive, Invasive hieracium species, Invasive populations, Invasive range, Invasive ranges, Invasive regions, Invasive species, Invasive success, Journal compilation, Kappa scores, Laboratoire alpine, Lavergne molofsky, Little impact, Local adaptation, Location data, Location records, Macquarie university, Model species, Modelling, Models, Monte carlo randomizations, Murorum, Native populations, Native range, Native ranges, Native regions, Niche, Niche change, Niche differentiation, Niche models, Niche shifts, Novel regions, Occurrence clouds, Overall size, Phenotypic plasticity, Pilosella, Potential threat, Pseudoabsence points, Pseudoabsences, Range margins, Range shifts, Scenario, Several reasons, Species distributions, Standard deviation, Subset, Substantial differences, Thuiller, Welk, Wetter conditions, Zealand.
- Teeft :
- Absence data, Alien plant invasions, Aurantiacum, Australian distributions, Australian weed management, Authors diversity, Biodiversity, Biogeography, Biological invasions, Biological sciences, Biotic constraints, Blackwell publishing, Broennimann, Calibrate models, Class analysis, Class inertia ratio, Climate change, Climate change impacts, Climate models, Climate scenarios, Climatic, Climatic envelope, Climatic niche, Climatic niche differences, Climatic niches, Climatic variables, Current climate, Current distributions, Current european, Current science, Darker colours, Data bases, Dispersal limitations, Distribution records, Disturbance regimes, Ecological, Ecological modelling, Ecological niche models, Ecology, Ecology letters, Emissions scenarios, Enms, Entire range, Entire ranges, Fundamental niche, Future climates, Future distributions, Genetic drift, Genetic variability, Genus hieracium, Geographical barriers, Geographical constraints, Geographical distribution, Global, Global change biology, Global ecology, Grenoble cedex, Grey scale, Guisan, Hieracium, Hieracium pilosella, Hieracium species, Human population, Invasive, Invasive hieracium species, Invasive populations, Invasive range, Invasive ranges, Invasive regions, Invasive species, Invasive success, Journal compilation, Kappa scores, Laboratoire alpine, Lavergne molofsky, Little impact, Local adaptation, Location data, Location records, Macquarie university, Model species, Modelling, Monte carlo randomizations, Murorum, Native populations, Native range, Native ranges, Native regions, Niche, Niche change, Niche differentiation, Niche models, Niche shifts, Novel regions, Occurrence clouds, Overall size, Phenotypic plasticity, Pilosella, Potential threat, Pseudoabsence points, Pseudoabsences, Range margins, Range shifts, Scenario, Several reasons, Species distributions, Standard deviation, Subset, Substantial differences, Thuiller, Welk, Wetter conditions, Zealand.
Abstract
Aim We explore the impact of calibrating ecological niche models (ENMs) using (1) native range (NR) data versus (2) entire range (ER) data (native and invasive) on projections of current and future distributions of three Hieracium species.
Url:
DOI: 10.1111/j.1472-4642.2008.00547.x
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Rachael V. Gallagher<affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation>Le document en format XML
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Leishman</name><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation></author><author><name sortKey="Hughes, Lesley" sort="Hughes, Lesley" uniqKey="Hughes L" first="Lesley" last="Hughes">Lesley Hughes</name><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation></author></analytic><monogr></monogr><series><title level="j" type="main">Diversity and Distributions</title><title level="j" type="alt">DIVERSITY DISTRIBUTIONS</title><idno type="ISSN">1366-9516</idno><idno type="eISSN">1472-4642</idno><imprint><biblScope unit="vol">15</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="409">409</biblScope><biblScope unit="page" to="420">420</biblScope><biblScope unit="page-count">12</biblScope><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2009-05">2009-05</date></imprint><idno type="ISSN">1366-9516</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1366-9516</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Absence data</term><term>Alien plant invasions</term><term>Aurantiacum</term><term>Australian distributions</term><term>Australian weed management</term><term>Authors diversity</term><term>Biodiversity</term><term>Biogeography</term><term>Biological invasion</term><term>Biological invasions</term><term>Biological sciences</term><term>Biotic constraints</term><term>Blackwell publishing</term><term>Broennimann</term><term>Calibrate models</term><term>Class analysis</term><term>Class inertia ratio</term><term>Climate</term><term>Climate change</term><term>Climate change impacts</term><term>Climate models</term><term>Climate scenarios</term><term>Climatic</term><term>Climatic condition</term><term>Climatic envelope</term><term>Climatic niche</term><term>Climatic niche differences</term><term>Climatic niches</term><term>Climatic variables</term><term>Current climate</term><term>Current distributions</term><term>Current european</term><term>Current science</term><term>Darker colours</term><term>Data bases</term><term>Dispersal limitations</term><term>Distribution records</term><term>Disturbance regimes</term><term>Ecological</term><term>Ecological modelling</term><term>Ecological niche</term><term>Ecological niche models</term><term>Ecology</term><term>Ecology letters</term><term>Emissions scenarios</term><term>Enms</term><term>Entire range</term><term>Entire ranges</term><term>Fundamental niche</term><term>Future climates</term><term>Future distributions</term><term>Genetic drift</term><term>Genetic variability</term><term>Genus hieracium</term><term>Geographical barriers</term><term>Geographical constraints</term><term>Geographical distribution</term><term>Global</term><term>Global change biology</term><term>Global ecology</term><term>Grenoble cedex</term><term>Grey scale</term><term>Guisan</term><term>Hieracium</term><term>Hieracium pilosella</term><term>Hieracium species</term><term>Human population</term><term>Invasive</term><term>Invasive hieracium species</term><term>Invasive populations</term><term>Invasive range</term><term>Invasive ranges</term><term>Invasive regions</term><term>Invasive species</term><term>Invasive success</term><term>Journal compilation</term><term>Kappa scores</term><term>Laboratoire alpine</term><term>Lavergne molofsky</term><term>Little impact</term><term>Local adaptation</term><term>Location data</term><term>Location records</term><term>Macquarie university</term><term>Model species</term><term>Modelling</term><term>Models</term><term>Monte carlo randomizations</term><term>Murorum</term><term>Native populations</term><term>Native range</term><term>Native ranges</term><term>Native regions</term><term>Niche</term><term>Niche change</term><term>Niche differentiation</term><term>Niche models</term><term>Niche shifts</term><term>Novel regions</term><term>Occurrence clouds</term><term>Overall size</term><term>Phenotypic plasticity</term><term>Pilosella</term><term>Potential threat</term><term>Pseudoabsence points</term><term>Pseudoabsences</term><term>Range margins</term><term>Range shifts</term><term>Scenario</term><term>Several reasons</term><term>Species distributions</term><term>Standard deviation</term><term>Subset</term><term>Substantial differences</term><term>Thuiller</term><term>Welk</term><term>Wetter conditions</term><term>Zealand</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Changement climatique</term><term>Climat</term><term>Condition climatique</term><term>Diversité biologique</term><term>Espèce envahissante</term><term>Invasion biologique</term><term>Modèle</term><term>Niche écologique</term></keywords><keywords scheme="Teeft" xml:lang="en"><term>Absence data</term><term>Alien plant invasions</term><term>Aurantiacum</term><term>Australian distributions</term><term>Australian weed management</term><term>Authors diversity</term><term>Biodiversity</term><term>Biogeography</term><term>Biological invasions</term><term>Biological sciences</term><term>Biotic constraints</term><term>Blackwell publishing</term><term>Broennimann</term><term>Calibrate models</term><term>Class analysis</term><term>Class inertia ratio</term><term>Climate change</term><term>Climate change impacts</term><term>Climate models</term><term>Climate scenarios</term><term>Climatic</term><term>Climatic envelope</term><term>Climatic niche</term><term>Climatic niche differences</term><term>Climatic niches</term><term>Climatic variables</term><term>Current climate</term><term>Current distributions</term><term>Current european</term><term>Current science</term><term>Darker colours</term><term>Data bases</term><term>Dispersal limitations</term><term>Distribution records</term><term>Disturbance regimes</term><term>Ecological</term><term>Ecological modelling</term><term>Ecological niche models</term><term>Ecology</term><term>Ecology letters</term><term>Emissions scenarios</term><term>Enms</term><term>Entire range</term><term>Entire ranges</term><term>Fundamental niche</term><term>Future climates</term><term>Future distributions</term><term>Genetic drift</term><term>Genetic variability</term><term>Genus hieracium</term><term>Geographical barriers</term><term>Geographical constraints</term><term>Geographical distribution</term><term>Global</term><term>Global change biology</term><term>Global ecology</term><term>Grenoble cedex</term><term>Grey scale</term><term>Guisan</term><term>Hieracium</term><term>Hieracium pilosella</term><term>Hieracium species</term><term>Human population</term><term>Invasive</term><term>Invasive hieracium species</term><term>Invasive populations</term><term>Invasive range</term><term>Invasive ranges</term><term>Invasive regions</term><term>Invasive species</term><term>Invasive success</term><term>Journal compilation</term><term>Kappa scores</term><term>Laboratoire alpine</term><term>Lavergne molofsky</term><term>Little impact</term><term>Local adaptation</term><term>Location data</term><term>Location records</term><term>Macquarie university</term><term>Model species</term><term>Modelling</term><term>Monte carlo randomizations</term><term>Murorum</term><term>Native populations</term><term>Native range</term><term>Native ranges</term><term>Native regions</term><term>Niche</term><term>Niche change</term><term>Niche differentiation</term><term>Niche models</term><term>Niche shifts</term><term>Novel regions</term><term>Occurrence clouds</term><term>Overall size</term><term>Phenotypic plasticity</term><term>Pilosella</term><term>Potential threat</term><term>Pseudoabsence points</term><term>Pseudoabsences</term><term>Range margins</term><term>Range shifts</term><term>Scenario</term><term>Several reasons</term><term>Species distributions</term><term>Standard deviation</term><term>Subset</term><term>Substantial differences</term><term>Thuiller</term><term>Welk</term><term>Wetter conditions</term><term>Zealand</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Biodiversité</term><term>Changement climatique</term><term>Climat</term><term>écologie</term><term>Répartition géographique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract">Aim We explore the impact of calibrating ecological niche models (ENMs) using (1) native range (NR) data versus (2) entire range (ER) data (native and invasive) on projections of current and future distributions of three Hieracium species.</div></front></TEI><double idat="1366-9516:2009:Beaumont L:different:climatic:envelopes"><INIST><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions</title><author><name sortKey="Beaumont, Linda J" sort="Beaumont, Linda J" uniqKey="Beaumont L" first="Linda J." last="Beaumont">Linda J. Beaumont</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biological Sciences, Macquarie University</s1><s2>New South Wales, 2109</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>New South Wales, 2109</wicri:noRegion></affiliation><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université J. Fourier BP 53</s1><s2>38041 Grenoble</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>France</country><wicri:noRegion>38041 Grenoble</wicri:noRegion><placeName><settlement type="city">Grenoble</settlement><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region></placeName></affiliation></author><author><name sortKey="Gallagher, Rachael V" sort="Gallagher, Rachael V" uniqKey="Gallagher R" first="Rachael V." last="Gallagher">Rachael V. Gallagher</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biological Sciences, Macquarie University</s1><s2>New South Wales, 2109</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>New South Wales, 2109</wicri:noRegion></affiliation></author><author><name sortKey="Thuiller, Wilfried" sort="Thuiller, Wilfried" uniqKey="Thuiller W" first="Wilfried" last="Thuiller">Wilfried Thuiller</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université J. Fourier BP 53</s1><s2>38041 Grenoble</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>France</country><wicri:noRegion>38041 Grenoble</wicri:noRegion><placeName><settlement type="city">Grenoble</settlement><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region></placeName></affiliation></author><author><name sortKey="Downey, Paul O" sort="Downey, Paul O" uniqKey="Downey P" first="Paul O." last="Downey">Paul O. Downey</name><affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Pest Management Unit, Parks and Wildlife Division, Department of Environment and Climate Change (NSW), PO Box 1967</s1><s2>Hurstville, New South Wales 2220</s2><s3>AUS</s3><sZ>4 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Hurstville, New South Wales 2220</wicri:noRegion></affiliation></author><author><name sortKey="Leishman, Michelle R" sort="Leishman, Michelle R" uniqKey="Leishman M" first="Michelle R." last="Leishman">Michelle R. Leishman</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biological Sciences, Macquarie University</s1><s2>New South Wales, 2109</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>New South Wales, 2109</wicri:noRegion></affiliation></author><author><name sortKey="Hughes, Lesley" sort="Hughes, Lesley" uniqKey="Hughes L" first="Lesley" last="Hughes">Lesley Hughes</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biological Sciences, Macquarie University</s1><s2>New South Wales, 2109</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>New South Wales, 2109</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">09-0218988</idno><date when="2009">2009</date><idno type="stanalyst">PASCAL 09-0218988 INIST</idno><idno type="RBID">Pascal:09-0218988</idno><idno type="wicri:Area/PascalFrancis/Corpus">002E15</idno><idno type="wicri:Area/PascalFrancis/Curation">003205</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">002B98</idno><idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">002B98</idno><idno type="wicri:doubleKey">1366-9516:2009:Beaumont L:different:climatic:envelopes</idno><idno type="wicri:Area/Main/Merge">008B67</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions</title><author><name sortKey="Beaumont, Linda J" sort="Beaumont, Linda J" uniqKey="Beaumont L" first="Linda J." last="Beaumont">Linda J. Beaumont</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biological Sciences, Macquarie University</s1><s2>New South Wales, 2109</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>New South Wales, 2109</wicri:noRegion></affiliation><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université J. Fourier BP 53</s1><s2>38041 Grenoble</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>France</country><wicri:noRegion>38041 Grenoble</wicri:noRegion><placeName><settlement type="city">Grenoble</settlement><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region></placeName></affiliation></author><author><name sortKey="Gallagher, Rachael V" sort="Gallagher, Rachael V" uniqKey="Gallagher R" first="Rachael V." last="Gallagher">Rachael V. Gallagher</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biological Sciences, Macquarie University</s1><s2>New South Wales, 2109</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>New South Wales, 2109</wicri:noRegion></affiliation></author><author><name sortKey="Thuiller, Wilfried" sort="Thuiller, Wilfried" uniqKey="Thuiller W" first="Wilfried" last="Thuiller">Wilfried Thuiller</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université J. Fourier BP 53</s1><s2>38041 Grenoble</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>France</country><wicri:noRegion>38041 Grenoble</wicri:noRegion><placeName><settlement type="city">Grenoble</settlement><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region></placeName></affiliation></author><author><name sortKey="Downey, Paul O" sort="Downey, Paul O" uniqKey="Downey P" first="Paul O." last="Downey">Paul O. Downey</name><affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Pest Management Unit, Parks and Wildlife Division, Department of Environment and Climate Change (NSW), PO Box 1967</s1><s2>Hurstville, New South Wales 2220</s2><s3>AUS</s3><sZ>4 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Hurstville, New South Wales 2220</wicri:noRegion></affiliation></author><author><name sortKey="Leishman, Michelle R" sort="Leishman, Michelle R" uniqKey="Leishman M" first="Michelle R." last="Leishman">Michelle R. Leishman</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biological Sciences, Macquarie University</s1><s2>New South Wales, 2109</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>New South Wales, 2109</wicri:noRegion></affiliation></author><author><name sortKey="Hughes, Lesley" sort="Hughes, Lesley" uniqKey="Hughes L" first="Lesley" last="Hughes">Lesley Hughes</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biological Sciences, Macquarie University</s1><s2>New South Wales, 2109</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>New South Wales, 2109</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Diversity and distributions</title><title level="j" type="abbreviated">Divers. distrib.</title><idno type="ISSN">1366-9516</idno><imprint><date when="2009">2009</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Diversity and distributions</title><title level="j" type="abbreviated">Divers. distrib.</title><idno type="ISSN">1366-9516</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biodiversity</term><term>Biological invasion</term><term>Climate</term><term>Climate change</term><term>Climatic condition</term><term>Ecological niche</term><term>Invasive species</term><term>Models</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Climat</term><term>Condition climatique</term><term>Changement climatique</term><term>Niche écologique</term><term>Modèle</term><term>Espèce envahissante</term><term>Diversité biologique</term><term>Invasion biologique</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Climat</term><term>Changement climatique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Aim We explore the impact of calibrating ecological niche models (ENMs) using (1) native range (NR) data versus (2) entire range (ER) data (native and invasive) on projections of current and future distributions of three Hieracium species. Location H. aurantiacum, H. murorum and H. pilosella are native to Europe and invasive in Australia, New Zealand and North America. Methods Differences among the native and invasive realized climatic niches of each species were quantified. Eight ENMs in BIOMOD were calibrated with (1) NR and (2) ER data. Current European, North American and Australian distributions were projected. Future Australian distributions were modelled using four climate change scenarios for 2030. Results The invasive climatic niche of H. murorum is primarily a subset of that expressed in its native range. Invasive populations of H. aurantiacum and H. pilosella occupy different climatic niches to those realized in their native ranges. Furthermore, geographically separate invasive populations of these two species have distinct climatic niches. ENMs calibrated on the realized niche of native regions projected smaller distributions than models incorporating data from species' entire ranges, and failed to correctly predict many known invasive populations. Under future climate scenarios, projected distributions decreased by similar percentages, regardless of the data used to calibrate ENMs; however, the overall sizes of projected distributions varied substantially. Main conclusions This study provides quantitative evidence that invasive populations of Hieracium species can occur in areas with different climatic conditions than experienced in their native ranges. For these, and similar species, calibration of ENMs based on NR data only will misrepresent their potential invasive distribution. These errors will propagate when estimating climate change impacts. Thus, incorporating data from species' entire distributions may result in a more thorough assessment of current and future ranges, and provides a closer approximation of the elusive fundamental niche.</div></front></TEI></INIST><ISTEX><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions</title><author><name sortKey="Beaumont, Linda J" sort="Beaumont, Linda J" uniqKey="Beaumont L" first="Linda J." last="Beaumont">Linda J. Beaumont</name></author><author><name sortKey="Gallagher, Rachael V" sort="Gallagher, Rachael V" uniqKey="Gallagher R" first="Rachael V." last="Gallagher">Rachael V. Gallagher</name></author><author><name sortKey="Thuiller, Wilfried" sort="Thuiller, Wilfried" uniqKey="Thuiller W" first="Wilfried" last="Thuiller">Wilfried Thuiller</name></author><author><name sortKey="Downey, Paul O" sort="Downey, Paul O" uniqKey="Downey P" first="Paul O." last="Downey">Paul O. Downey</name></author><author><name sortKey="Leishman, Michelle R" sort="Leishman, Michelle R" uniqKey="Leishman M" first="Michelle R." last="Leishman">Michelle R. Leishman</name></author><author><name sortKey="Hughes, Lesley" sort="Hughes, Lesley" uniqKey="Hughes L" first="Lesley" last="Hughes">Lesley Hughes</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:B5DA9592D3CDDEB60AFBE286B0EAF95809BE9201</idno><date when="2009" year="2009">2009</date><idno type="doi">10.1111/j.1472-4642.2008.00547.x</idno><idno type="url">https://api.istex.fr/document/B5DA9592D3CDDEB60AFBE286B0EAF95809BE9201/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">003073</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">003073</idno><idno type="wicri:Area/Istex/Curation">003073</idno><idno type="wicri:Area/Istex/Checkpoint">000F28</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000F28</idno><idno type="wicri:doubleKey">1366-9516:2009:Beaumont L:different:climatic:envelopes</idno><idno type="wicri:Area/Main/Merge">008586</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main">Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions</title><author><name sortKey="Beaumont, Linda J" sort="Beaumont, Linda J" uniqKey="Beaumont L" first="Linda J." last="Beaumont">Linda J. Beaumont</name><affiliation></affiliation><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>Laboratoire d’Ecologie Alpine, UMR CNRS 5553, Université J. Fourier, BP 53, 38041 Grenoble Cedex 9</wicri:regionArea><wicri:noRegion>38041 Grenoble Cedex 9</wicri:noRegion><wicri:noRegion>38041 Grenoble Cedex 9</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Australie</country></affiliation></author><author><name sortKey="Gallagher, Rachael V" sort="Gallagher, Rachael V" uniqKey="Gallagher R" first="Rachael V." last="Gallagher">Rachael V. Gallagher</name><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation></author><author><name sortKey="Thuiller, Wilfried" sort="Thuiller, Wilfried" uniqKey="Thuiller W" first="Wilfried" last="Thuiller">Wilfried Thuiller</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>Laboratoire d’Ecologie Alpine, UMR CNRS 5553, Université J. Fourier, BP 53, 38041 Grenoble Cedex 9</wicri:regionArea><wicri:noRegion>38041 Grenoble Cedex 9</wicri:noRegion><wicri:noRegion>38041 Grenoble Cedex 9</wicri:noRegion></affiliation></author><author><name sortKey="Downey, Paul O" sort="Downey, Paul O" uniqKey="Downey P" first="Paul O." last="Downey">Paul O. Downey</name><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation></author><author><name sortKey="Leishman, Michelle R" sort="Leishman, Michelle R" uniqKey="Leishman M" first="Michelle R." last="Leishman">Michelle R. Leishman</name><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation></author><author><name sortKey="Hughes, Lesley" sort="Hughes, Lesley" uniqKey="Hughes L" first="Lesley" last="Hughes">Lesley Hughes</name><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation></author></analytic><monogr></monogr><series><title level="j" type="main">Diversity and Distributions</title><title level="j" type="alt">DIVERSITY DISTRIBUTIONS</title><idno type="ISSN">1366-9516</idno><idno type="eISSN">1472-4642</idno><imprint><biblScope unit="vol">15</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="409">409</biblScope><biblScope unit="page" to="420">420</biblScope><biblScope unit="page-count">12</biblScope><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2009-05">2009-05</date></imprint><idno type="ISSN">1366-9516</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1366-9516</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Absence data</term><term>Alien plant invasions</term><term>Aurantiacum</term><term>Australian distributions</term><term>Australian weed management</term><term>Authors diversity</term><term>Biodiversity</term><term>Biogeography</term><term>Biological invasions</term><term>Biological sciences</term><term>Biotic constraints</term><term>Blackwell publishing</term><term>Broennimann</term><term>Calibrate models</term><term>Class analysis</term><term>Class inertia ratio</term><term>Climate change</term><term>Climate change impacts</term><term>Climate models</term><term>Climate scenarios</term><term>Climatic</term><term>Climatic envelope</term><term>Climatic niche</term><term>Climatic niche differences</term><term>Climatic niches</term><term>Climatic variables</term><term>Current climate</term><term>Current distributions</term><term>Current european</term><term>Current science</term><term>Darker colours</term><term>Data bases</term><term>Dispersal limitations</term><term>Distribution records</term><term>Disturbance regimes</term><term>Ecological</term><term>Ecological modelling</term><term>Ecological niche models</term><term>Ecology</term><term>Ecology letters</term><term>Emissions scenarios</term><term>Enms</term><term>Entire range</term><term>Entire ranges</term><term>Fundamental niche</term><term>Future climates</term><term>Future distributions</term><term>Genetic drift</term><term>Genetic variability</term><term>Genus hieracium</term><term>Geographical barriers</term><term>Geographical constraints</term><term>Geographical distribution</term><term>Global</term><term>Global change biology</term><term>Global ecology</term><term>Grenoble cedex</term><term>Grey scale</term><term>Guisan</term><term>Hieracium</term><term>Hieracium pilosella</term><term>Hieracium species</term><term>Human population</term><term>Invasive</term><term>Invasive hieracium species</term><term>Invasive populations</term><term>Invasive range</term><term>Invasive ranges</term><term>Invasive regions</term><term>Invasive species</term><term>Invasive success</term><term>Journal compilation</term><term>Kappa scores</term><term>Laboratoire alpine</term><term>Lavergne molofsky</term><term>Little impact</term><term>Local adaptation</term><term>Location data</term><term>Location records</term><term>Macquarie university</term><term>Model species</term><term>Modelling</term><term>Monte carlo randomizations</term><term>Murorum</term><term>Native populations</term><term>Native range</term><term>Native ranges</term><term>Native regions</term><term>Niche</term><term>Niche change</term><term>Niche differentiation</term><term>Niche models</term><term>Niche shifts</term><term>Novel regions</term><term>Occurrence clouds</term><term>Overall size</term><term>Phenotypic plasticity</term><term>Pilosella</term><term>Potential threat</term><term>Pseudoabsence points</term><term>Pseudoabsences</term><term>Range margins</term><term>Range shifts</term><term>Scenario</term><term>Several reasons</term><term>Species distributions</term><term>Standard deviation</term><term>Subset</term><term>Substantial differences</term><term>Thuiller</term><term>Welk</term><term>Wetter conditions</term><term>Zealand</term></keywords><keywords scheme="Teeft" xml:lang="en"><term>Absence data</term><term>Alien plant invasions</term><term>Aurantiacum</term><term>Australian distributions</term><term>Australian weed management</term><term>Authors diversity</term><term>Biodiversity</term><term>Biogeography</term><term>Biological invasions</term><term>Biological sciences</term><term>Biotic constraints</term><term>Blackwell publishing</term><term>Broennimann</term><term>Calibrate models</term><term>Class analysis</term><term>Class inertia ratio</term><term>Climate change</term><term>Climate change impacts</term><term>Climate models</term><term>Climate scenarios</term><term>Climatic</term><term>Climatic envelope</term><term>Climatic niche</term><term>Climatic niche differences</term><term>Climatic niches</term><term>Climatic variables</term><term>Current climate</term><term>Current distributions</term><term>Current european</term><term>Current science</term><term>Darker colours</term><term>Data bases</term><term>Dispersal limitations</term><term>Distribution records</term><term>Disturbance regimes</term><term>Ecological</term><term>Ecological modelling</term><term>Ecological niche models</term><term>Ecology</term><term>Ecology letters</term><term>Emissions scenarios</term><term>Enms</term><term>Entire range</term><term>Entire ranges</term><term>Fundamental niche</term><term>Future climates</term><term>Future distributions</term><term>Genetic drift</term><term>Genetic variability</term><term>Genus hieracium</term><term>Geographical barriers</term><term>Geographical constraints</term><term>Geographical distribution</term><term>Global</term><term>Global change biology</term><term>Global ecology</term><term>Grenoble cedex</term><term>Grey scale</term><term>Guisan</term><term>Hieracium</term><term>Hieracium pilosella</term><term>Hieracium species</term><term>Human population</term><term>Invasive</term><term>Invasive hieracium species</term><term>Invasive populations</term><term>Invasive range</term><term>Invasive ranges</term><term>Invasive regions</term><term>Invasive species</term><term>Invasive success</term><term>Journal compilation</term><term>Kappa scores</term><term>Laboratoire alpine</term><term>Lavergne molofsky</term><term>Little impact</term><term>Local adaptation</term><term>Location data</term><term>Location records</term><term>Macquarie university</term><term>Model species</term><term>Modelling</term><term>Monte carlo randomizations</term><term>Murorum</term><term>Native populations</term><term>Native range</term><term>Native ranges</term><term>Native regions</term><term>Niche</term><term>Niche change</term><term>Niche differentiation</term><term>Niche models</term><term>Niche shifts</term><term>Novel regions</term><term>Occurrence clouds</term><term>Overall size</term><term>Phenotypic plasticity</term><term>Pilosella</term><term>Potential threat</term><term>Pseudoabsence points</term><term>Pseudoabsences</term><term>Range margins</term><term>Range shifts</term><term>Scenario</term><term>Several reasons</term><term>Species distributions</term><term>Standard deviation</term><term>Subset</term><term>Substantial differences</term><term>Thuiller</term><term>Welk</term><term>Wetter conditions</term><term>Zealand</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Biodiversité</term><term>Changement climatique</term><term>écologie</term><term>Répartition géographique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract">Aim We explore the impact of calibrating ecological niche models (ENMs) using (1) native range (NR) data versus (2) entire range (ER) data (native and invasive) on projections of current and future distributions of three Hieracium species.</div></front></TEI></ISTEX></double></record>Pour manipuler ce document sous Unix (Dilib)
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