Arid
DOI10.1002/ece3.5609
Modeling the distribution of a wide-ranging invasive species using the sampling efforts of expert and citizen scientists
Roy-Dufresne, Emilie1,2; Saltre, Frederik1,2,3; Cooke, Brian D.4; Mellin, Camille1,2,5; Mutze, Greg6; Cox, Tarnya7; Fordham, Damien A.1,2
通讯作者Roy-Dufresne, Emilie
来源期刊ECOLOGY AND EVOLUTION
ISSN2045-7758
出版年2019
卷号9期号:19页码:11053-11063
英文摘要In its invasive range in Australia, the European rabbit threatens the persistence of native flora and fauna and damages agricultural production. Understanding its distribution and ecological niche is critical for developing management plans to reduce populations and avoid further biodiversity and economic losses. We developed an ensemble of species distribution models (SDMs) to determine the geographic range limits and habitat suitability of the rabbit in Australia. We examined the advantage of incorporating data collected by citizens (separately and jointly with expert data) and explored issues of spatial biases in occurrence data by implementing different approaches to generate pseudo-absences. We evaluated the skill of our model using three approaches: cross-validation, out-of-region validation, and evaluation of the covariate response curves according to expert knowledge of rabbit ecology. Combining citizen and expert occurrence data improved model skill based on cross-validation, spatially reproduced important aspects of rabbit ecology, and reduced the need to extrapolate results beyond the studied areas. Our ensemble model projects that rabbits are distributed across approximately two thirds of Australia. Annual maximum temperatures >25 degrees C and annual minimum temperatures >10 degrees C define, respectively, the southern and northern most range limits of its distribution. In the arid and central regions, close access to permanent water (<= 0.4 km) and reduced clay soil composition (20%-50%) were the major factors influencing the probability of occurrence of rabbits. Synthesis and applications. Our results show that citizen science data can play an important role in managing invasive species by providing missing information on occurrences in regions not surveyed by experts because of logistics or financial constraints. The additional sampling effort provided by citizens can improve the capacity of SDMs to capture important elements of a species ecological niche, improving the capacity of statistical models to accurately predict the geographic range of invasive species.
英文关键词citizen science ecological niche model European rabbit invasion biology model transferability Oryctolagus cuniculus sampling bias species distribution model
类型Article
语种英语
国家Australia
开放获取类型gold, Green Published
收录类别SCI-E
WOS记录号WOS:000487461400001
WOS关键词ORYCTOLAGUS-CUNICULUS ; NICHE ; BIAS ; PREDICTION ; CLIMATE ; TRANSFERABILITY ; CHALLENGES ; SELECTION ; ECOLOGY ; ACCOUNT
WOS类目Ecology ; Evolutionary Biology
WOS研究方向Environmental Sciences & Ecology ; Evolutionary Biology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/215285
作者单位1.Univ Adelaide, Environm Inst, Adelaide, SA, Australia;
2.Univ Adelaide, Sch Biol Sci, Adelaide, SA, Australia;
3.Flinders Univ S Australia, Coll Sci & Engn, Adelaide, SA, Australia;
4.Univ Canberra, Inst Appl Ecol, Canberra, ACT, Australia;
5.Australlan Inst Marine Sci, Townsville, Qld, Australia;
6.Biosecur SA, Dept Primary Ind & Reg South Australia, Adelaide, SA, Australia;
7.NSW Dept Primary Ind, Vertebrate Pest Res Unit, Orange, NSW, Australia
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Roy-Dufresne, Emilie,Saltre, Frederik,Cooke, Brian D.,et al. Modeling the distribution of a wide-ranging invasive species using the sampling efforts of expert and citizen scientists[J],2019,9(19):11053-11063.
APA Roy-Dufresne, Emilie.,Saltre, Frederik.,Cooke, Brian D..,Mellin, Camille.,Mutze, Greg.,...&Fordham, Damien A..(2019).Modeling the distribution of a wide-ranging invasive species using the sampling efforts of expert and citizen scientists.ECOLOGY AND EVOLUTION,9(19),11053-11063.
MLA Roy-Dufresne, Emilie,et al."Modeling the distribution of a wide-ranging invasive species using the sampling efforts of expert and citizen scientists".ECOLOGY AND EVOLUTION 9.19(2019):11053-11063.
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