TY  -  
T1  - Challenges and opportunities of species distribution modelling of terrestrial arthropod predators 
SN  -  /  
UR  - http://hdl.handle.net/10138/338818 
T3  -  
A1  - Mammola, Stefano; Pétillon, Julien; Hacala, Axel; Monsimet, Jérémy; Marti, Sapho-Lou; Cardoso, Pedro; Lafage, Denis 
A2  -  
PB  -  
Y1  - 2021 
LA  - eng 
AB  - Aim Species distribution models (SDMs) have emerged as essential tools in the equipment of many ecologists, useful to explore species distributions in space and time and answering an assortment of questions related to biogeography, climate change biology and conservation biology. Historically, most SDM research concentrated on well-known organisms, especially vertebrates. In recent years, these tools are becoming increasingly important for predicting the distribution of understudied invertebrate... 
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IS  -  
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KW  - bibliometrics; climate change; ecological niche models; MaxEnt; mechanistic models; niche-based models; predicted distribution; social network analysis; statistical modelling; CLIMATE-CHANGE; ARGENTINE ANTS; POTENTIAL DISTRIBUTION; INSECT CONSERVATION; HIGH-RESOLUTION; RANGE SHIFTS; NICHE; BIODIVERSITY; DISPERSAL; HABITAT; 1181 Ecology, evolutionary biology 
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ER  -