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Climatic variables used for predicting the species distribu..:

Haoqiang Ji ; Xiaohui Wei ; Delong Ma..
doi:10.1371/journal.pntd.0011883.t001. , 2024

Link: https://doi.org/10.1371/journal.pntd.0011883.t001

RT Journal
T1 <Title>Climatic variables used for predicting the species distribution</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivoxfordfig:oai:figshare.com:article_24976782&Exemplar=1&LAN=DE
				
A1 Haoqiang Ji
A1 Xiaohui Wei
A1 Delong Ma
A1 Xiaoxu Wang
A1 Qiyong Liu
YR 2024
K1 Biotechnology
K1 Ecology
K1 Cancer
K1 Science Policy
K1 Computational Biology
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 potential global suitability
K1 maximum entropy model
K1 future climate scenarios
K1 continents except antarctica
K1 study also seeks
K1 global potential distribution
K1 two major vectors
K1 prevent related diseases
K1 prefers tropical regions
K1 monthly minimum temperature
K1 monthly maximum temperature
K1 div >< p
K1 high suitable areas
K1 dermacentor variabilis </
K1 amblyomma cajennense </
K1 highly suitable areas
K1 suitable distribution
K1 variabilis </
K1 cajennense </
K1 tropical zones
K1 temperate regions
K1 suitable area
K1 study aims
K1 highly dangerous
K1 species distribution
K1 distribution patterns
K1 monthly precipitation
K1 vectors survival
K1 vector survival
K1 south america
K1 pubmed database
K1 prevent invasion
K1 often overlooked
K1 north america
K1 humid characteristics
K1 exit monitoring
K1 climatic variables
K1 climatic factors
K1 almost expanded
K1 additional testing
K1 6 scenario
K1 5 scenario
JF doi:10.1371/journal.pntd.0011883.t001
LK http://dx.doi.org/https://doi.org/10.1371/journal.pntd.0011883.t001
DO https://doi.org/10.1371/journal.pntd.0011883.t001
SF ELIB - SuUB Bremen

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