Increasing Potential Risk of a Global Aquatic Invader in Europe in Contrast to Other Continents under Future Climate Change

被引:61
作者
Liu, Xuan [1 ,2 ]
Guo, Zhongwei [1 ]
Ke, Zunwei [1 ,2 ]
Wang, Supen [1 ]
Li, Yiming [1 ]
机构
[1] Chinese Acad Sci, Inst Zool, Key Lab Anim Ecol & Conservat Biol, Beijing, Peoples R China
[2] Chinese Acad Sci, Grad Univ, Beijing, Peoples R China
关键词
CRAYFISH PROCAMBARUS-CLARKII; RED SWAMP CRAYFISH; PREDICTING SPECIES DISTRIBUTIONS; INTRODUCED CRAYFISH; INVASIVE CRAYFISH; DISTRIBUTION MODELS; POPULATION BIOLOGY; PLANT INVASIONS; NICHE SHIFT; IMPACT;
D O I
10.1371/journal.pone.0018429
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Anthropogenically-induced climate change can alter the current climatic habitat of non-native species and can have complex effects on potentially invasive species. Predictions of the potential distributions of invasive species under climate change will provide critical information for future conservation and management strategies. Aquatic ecosystems are particularly vulnerable to invasive species and climate change, but the effect of climate change on invasive species distributions has been rather neglected, especially for notorious global invaders. Methodology/Principal Findings: We used ecological niche models (ENMs) to assess the risks and opportunities that climate change presents for the red swamp crayfish (Procambarus clarkii), which is a worldwide aquatic invasive species. Linking the factors of climate, topography, habitat and human influence, we developed predictive models incorporating both native and non-native distribution data of the crayfish to identify present areas of potential distribution and project the effects of future climate change based on a consensus-forecast approach combining the CCCMA and HADCM3 climate models under two emission scenarios (A2a and B2a) by 2050. The minimum temperature from the coldest month, the human footprint and precipitation of the driest quarter contributed most to the species distribution models. Under both the A2a and B2a scenarios, P. clarkii shifted to higher latitudes in continents of both the northern and southern hemispheres. However, the effect of climate change varied considerately among continents with an expanding potential in Europe and contracting changes in others. Conclusions/Significance: Our findings are the first to predict the impact of climate change on the future distribution of a globally invasive aquatic species. We confirmed the complexities of the likely effects of climate change on the potential distribution of globally invasive species, and it is extremely important to develop wide-ranging and effective control measures according to predicted geographical shifts and changes.
引用
收藏
页数:11
相关论文
共 103 条
[71]   Combined effects of temperature and diet on growth and survival of young-of-year crayfish: A comparison between indigenous and invasive species [J].
Paglianti, A ;
Gherardi, F .
JOURNAL OF CRUSTACEAN BIOLOGY, 2004, 24 (01) :140-148
[72]   Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar [J].
Pearson, Richard G. ;
Raxworthy, Christopher J. ;
Nakamura, Miguel ;
Peterson, A. Townsend .
JOURNAL OF BIOGEOGRAPHY, 2007, 34 (01) :102-117
[73]   Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent [J].
Peterson, A. Townsend ;
Papes, Monica ;
Eaton, Muir .
ECOGRAPHY, 2007, 30 (04) :550-560
[74]   Shifting Global Invasive Potential of European Plants with Climate Change [J].
Peterson, A. Townsend ;
Stewart, Aimee ;
Mohamed, Kamal I. ;
Araujo, Miguel B. .
PLOS ONE, 2008, 3 (06)
[75]   Niche differentiation in Mexican birds: using point occurrences to detect ecological innovation [J].
Peterson, AT ;
Holt, RD .
ECOLOGY LETTERS, 2003, 6 (08) :774-782
[76]   Maximum entropy modeling of species geographic distributions [J].
Phillips, SJ ;
Anderson, RP ;
Schapire, RE .
ECOLOGICAL MODELLING, 2006, 190 (3-4) :231-259
[77]   Modeling of species distributions with Maxent:: new extensions and a comprehensive evaluation [J].
Phillips, Steven J. ;
Dudik, Miroslav .
ECOGRAPHY, 2008, 31 (02) :161-175
[78]   Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data [J].
Phillips, Steven J. ;
Dudik, Miroslav ;
Elith, Jane ;
Graham, Catherine H. ;
Lehmann, Anthony ;
Leathwick, John ;
Ferrier, Simon .
ECOLOGICAL APPLICATIONS, 2009, 19 (01) :181-197
[79]   Update on the environmental and economic costs associated with alien-invasive species in the United States [J].
Pimentel, D ;
Zuniga, R ;
Morrison, D .
ECOLOGICAL ECONOMICS, 2005, 52 (03) :273-288
[80]   The invasive red swamp crayfish as a predictor of Eurasian bittern density in the Camargue, France [J].
Poulin, B. ;
Lefebvre, G. ;
Crivelli, A. J. .
JOURNAL OF ZOOLOGY, 2007, 273 (01) :98-105