Sampling bias

Fin whale (Balaenoptera physalus) distribution modelling in the Nordic Seas & adjacent waters

Understanding the dynamics of cetacean distribution in ecologically vulnerable regions is essential to interpret the impact of environmental changes on species ecology and ecosystem functioning. Species distribution models (SDMs) are helpful tools …

Modelling habitat suitability of whales in the Southern Ocean

Detailed information on cetacean distribution is crucial to identify large-scale conservation actions and management decisions. Understanding the ecological drivers behind their spatial patterns in the Southern Ocean is complicated by whales’ …

Improved species-occurrence predictions in data-poor regions: using large-scale data and bias correction with down-weighted Poisson regression and Maxent

Species distribution modelling (SDM) has become an essential method in ecology and conservation. In the absence of survey data, the majority of SDMs are calibrated with opportunistic presence-only data, incurring substantial sampling bias. We address …

Reliability of species distribution modelling for wildlife conservation in developing countries

Species distribution models have become essential tools in ecology and wildlife conservation. However, their reliability when used for conservation management is often compromised by many challenges and limitations, as for example the lack of …

Wrong, but useful: regional species distribution models may not be improved by range-wide data under biased sampling

Species distribution modeling (SDM) is an essential method in ecology and conservation. SDMs are often calibrated within one country’s borders, typically along a limited environmental gradient with biased and incomplete data, making the quality …