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Responses of four dominant dryland plant species to climate change in the Junggar Basin, northwest China.

Identifieur interne : 000547 ( Main/Curation ); précédent : 000546; suivant : 000548

Responses of four dominant dryland plant species to climate change in the Junggar Basin, northwest China.

Auteurs : Jian Xiao ; Anwar Eziz ; Heng Zhang ; Zhiheng Wang ; Zhiyao Tang ; Jingyun Fang

Source :

RBID : pubmed:31871669

Abstract

Aim

Dryland ecosystems are exceedingly sensitive to climate change. Desertification induced by both climate changes and human activities seriously threatens dryland vegetation. However, the impact of climate change on distribution of dryland plant species has not been well documented. Here, we studied the potential distribution of four representative dryland plant species (

Location

Junggar Basin, a large desert region in northwestern China.

Methods

Occurrence data of the studied species were collected from an extensive field investigation of 2,516 sampling sites in the Junggar Basin. Ensemble species distribution models using 10 algorithms were developed and used to predict the potential distribution of each studied species under current and future climate scenarios.

Result

Main conclusions

We explored the responses of the representative dryland plant species to climate change in the Junggar Basin in northwestern China. The different changes in suitability of different species imply that policymakers may need to reconsider the selection and combination of the afforestation species used in this area. This study can provide valuable reference for the management and conservation of dryland ecosystems under future climate change scenarios.


DOI: 10.1002/ece3.5817
PubMed: 31871669
PubMed Central: PMC6912881

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pubmed:31871669

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Jian Xiao
<affiliation>
<nlm:affiliation>Institute of Ecology College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China.</nlm:affiliation>
<wicri:noCountry code="subField">and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China</wicri:noCountry>
</affiliation>
Anwar Eziz
<affiliation>
<nlm:affiliation>Institute of Ecology College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China.</nlm:affiliation>
<wicri:noCountry code="subField">and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China</wicri:noCountry>
</affiliation>
Heng Zhang
<affiliation>
<nlm:affiliation>Institute of Ecology College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China.</nlm:affiliation>
<wicri:noCountry code="subField">and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China</wicri:noCountry>
</affiliation>
Zhiheng Wang
<affiliation>
<nlm:affiliation>Institute of Ecology College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China.</nlm:affiliation>
<wicri:noCountry code="subField">and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China</wicri:noCountry>
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Zhiyao Tang
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<nlm:affiliation>Institute of Ecology College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China.</nlm:affiliation>
<wicri:noCountry code="subField">and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China</wicri:noCountry>
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Jingyun Fang
<affiliation>
<nlm:affiliation>Institute of Ecology College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China.</nlm:affiliation>
<wicri:noCountry code="subField">and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China</wicri:noCountry>
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<b>Aim</b>
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<p>Dryland ecosystems are exceedingly sensitive to climate change. Desertification induced by both climate changes and human activities seriously threatens dryland vegetation. However, the impact of climate change on distribution of dryland plant species has not been well documented. Here, we studied the potential distribution of four representative dryland plant species (</p>
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<b>Location</b>
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<div type="abstract" xml:lang="en">
<p>
<b>Methods</b>
</p>
<p>Occurrence data of the studied species were collected from an extensive field investigation of 2,516 sampling sites in the Junggar Basin. Ensemble species distribution models using 10 algorithms were developed and used to predict the potential distribution of each studied species under current and future climate scenarios.</p>
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<b>Result</b>
</p>
<p></p>
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<div type="abstract" xml:lang="en">
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<b>Main conclusions</b>
</p>
<p>We explored the responses of the representative dryland plant species to climate change in the Junggar Basin in northwestern China. The different changes in suitability of different species imply that policymakers may need to reconsider the selection and combination of the afforestation species used in this area. This study can provide valuable reference for the management and conservation of dryland ecosystems under future climate change scenarios.</p>
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<Title>Ecology and evolution</Title>
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<AbstractText Label="Aim" NlmCategory="UNASSIGNED">Dryland ecosystems are exceedingly sensitive to climate change. Desertification induced by both climate changes and human activities seriously threatens dryland vegetation. However, the impact of climate change on distribution of dryland plant species has not been well documented. Here, we studied the potential distribution of four representative dryland plant species (
<i>Haloxylon ammodendron</i>
,
<i>Anabasis aphylla</i>
,
<i>Calligonum mongolicum</i>
, and
<i>Populus euphratica</i>
) under current and future climate scenarios in a temperate desert region, aiming to improve our understanding of the responses of dryland plant species to climate change and provide guidance for dryland conservation and afforestation.</AbstractText>
<AbstractText Label="Location" NlmCategory="UNASSIGNED">Junggar Basin, a large desert region in northwestern China.</AbstractText>
<AbstractText Label="Methods" NlmCategory="UNASSIGNED">Occurrence data of the studied species were collected from an extensive field investigation of 2,516 sampling sites in the Junggar Basin. Ensemble species distribution models using 10 algorithms were developed and used to predict the potential distribution of each studied species under current and future climate scenarios.</AbstractText>
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<i>Haloxylon ammodendron</i>
and
<i>A. aphylla</i>
were likely to lose most of their current suitable habitats under future climate scenarios, while
<i>C. mongolicum</i>
and
<i>P. euphratica</i>
were likely to expand their ranges or remain relatively stationary. Variable importance evaluation showed that the most important climate variables influencing species distribution differed across the studied species. These results may be explained by the different ecophysiological characteristics and adaptation strategies to the environment of the four studied species.</AbstractText>
<AbstractText Label="Main conclusions" NlmCategory="UNASSIGNED">We explored the responses of the representative dryland plant species to climate change in the Junggar Basin in northwestern China. The different changes in suitability of different species imply that policymakers may need to reconsider the selection and combination of the afforestation species used in this area. This study can provide valuable reference for the management and conservation of dryland ecosystems under future climate change scenarios.</AbstractText>
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