3 Articles
3 Articles
Making robust projections of species distributions at fine resolution: Go spatially-nested
Antoine Guisan, University of Lausanne, Switzerland, discusses his article: Spatially-nested species distribution models (N-SDM): An effective tool to overcome niche truncation for better inference and projections Setting the scene Species distribution models (SDMs) relate species observations to mapped environmental conditions to estimate the ecological niche (i.e., the ensemble of suitable conditions) and predict the spatial distribution…
Mapping the gaps: new global assessment reveals stark biases in ocean biodiversity data
University of Plymouth news: A new study by Dr Amelia Bridges and Professor Kerry Howell, published in Nature Communications Earth & Environment, highlights just how uneven our knowledge of ocean biodiversity really is
Coverage Details
Bias Distribution
- 100% of the sources are Center
To view factuality data please Upgrade to Premium