Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions
Identifieur interne : 008586 ( Main/Merge ); précédent : 008585; suivant : 008587Different 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
- Wicri :
English descriptors
- KwdEn :
- 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.
- 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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<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>
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<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>
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<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>
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<term>écologie</term>
<term>Répartition géographique</term>
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<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>
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