Biases in data availability have serious consequences on scientific inferences that can be derived. The potential consequences of these biases could be more detrimental in the less-studied megadiverse regions, often characterized by high biodiversity and serious risks of human threats, as conservation and management actions could be misdirected. Here, focusing on 134 bat species in Mexico, we analyze spatial and taxonomic biases and their drivers in occurrence data; and identify priority areas for further data collection which are currently under-sampled or at future environmental risk. We collated a comprehensive database of 26,192 presence-only bat records in Mexico to characterize taxonomic and spatial biases and relate them to species' ...
Monitoring global biodiversity is critical for understanding responses to anthropogenic change, but ...
North American bat populations face unprecedented threats from disease and rapid environmental chang...
Biodiversity inventories provide critical information on the ecology of natural ecosystems and infor...
Biases in data availability have serious consequences on scientific inferences that can be derived. ...
Summary: Undersampling is commonplace in biodiversity surveys of species-rich tropical assemblage...
1. Species richness is a state variable of some interest in monitoring programmes but raw species co...
International audience1. Undersampling is commonplace in biodiversity surveys of species-rich tropic...
The global effort to digitize biodiversity occurrence data from collections, museums and other insti...
Summary 1. Species richness is a state variable of some interest in monitoring programmes but raw sp...
If species' evolutionary pasts predetermine their responses to evolutionarily novel stressors, then ...
Species’ spatial distribution patterns allow us to understand the establishment of different biotic ...
The analysis of regional scale patterns of diversity allows insights into the processes that have sh...
Aim To characterize relationships among indices of taxonomic, phylogenetic, functional and phenetic ...
Species distribution models that predict species distributions as a basis of physical environmental ...
Monitoring global biodiversity is critical for understanding responses to anthropogenic change, but ...
North American bat populations face unprecedented threats from disease and rapid environmental chang...
Biodiversity inventories provide critical information on the ecology of natural ecosystems and infor...
Biases in data availability have serious consequences on scientific inferences that can be derived. ...
Summary: Undersampling is commonplace in biodiversity surveys of species-rich tropical assemblage...
1. Species richness is a state variable of some interest in monitoring programmes but raw species co...
International audience1. Undersampling is commonplace in biodiversity surveys of species-rich tropic...
The global effort to digitize biodiversity occurrence data from collections, museums and other insti...
Summary 1. Species richness is a state variable of some interest in monitoring programmes but raw sp...
If species' evolutionary pasts predetermine their responses to evolutionarily novel stressors, then ...
Species’ spatial distribution patterns allow us to understand the establishment of different biotic ...
The analysis of regional scale patterns of diversity allows insights into the processes that have sh...
Aim To characterize relationships among indices of taxonomic, phylogenetic, functional and phenetic ...
Species distribution models that predict species distributions as a basis of physical environmental ...
Monitoring global biodiversity is critical for understanding responses to anthropogenic change, but ...
North American bat populations face unprecedented threats from disease and rapid environmental chang...
Biodiversity inventories provide critical information on the ecology of natural ecosystems and infor...