Optimising occurrence data in species distribution models: sample size, positional uncertainty, and sampling bias matter
Species distribution models (SDMs) have proven valuable in filling gaps in our knowledge of
species occurrences. However, despite their broad applicability, SDMs exhibit critical …
species occurrences. However, despite their broad applicability, SDMs exhibit critical …
Macroclimate data overestimate range shifts of plants in response to climate change
IMD Maclean, R Early - Nature Climate Change, 2023 - nature.com
Current conservation policy has been shaped by the expectation that, for many species,
places with suitable climate will lie outside their current range, thus leading to predictions of …
places with suitable climate will lie outside their current range, thus leading to predictions of …
Linking climate warming and land conversion to species' range changes across Great Britain
Although increased temperatures are known to reinforce the effects of habitat destruction at
local to landscape scales, evidence of their additive or interactive effects is limited …
local to landscape scales, evidence of their additive or interactive effects is limited …
Projecting species distributions using fishery‐dependent data
Many marine species are shifting their distributions in response to changing ocean
conditions, posing significant challenges and risks for fisheries management. Species …
conditions, posing significant challenges and risks for fisheries management. Species …
Effective strategies for correcting spatial sampling bias in species distribution models without independent test data
Aim Spatial sampling bias (SSB) is a feature of opportunistically sampled species records.
Species distribution models (SDMs) built using these data (ie presence‐background …
Species distribution models (SDMs) built using these data (ie presence‐background …
Modelling Climatically Suitable Areas for Mahogany (Swietenia macrophylla King) and Their Shifts across Neotropics: The Role of Protected Areas
Mahogany (Swietenia macrophylla King) is a species with great economic interest
worldwide and is classified as vulnerable to extinction by the IUCN. Deforestation and …
worldwide and is classified as vulnerable to extinction by the IUCN. Deforestation and …
Estimating a physiological threshold to oxygen and temperature from marine monitoring data reveals challenges and opportunities for forecasting distribution shifts
Species distribution modeling is increasingly used to describe and anticipate consequences
of a warming ocean. These models often identify statistical associations between distribution …
of a warming ocean. These models often identify statistical associations between distribution …
[HTML][HTML] An integrated species distribution modelling framework for heterogeneous biodiversity data
M Jung - Ecological Informatics, 2023 - Elsevier
Most knowledge about species and habitats is in-homogeneously distributed, with biases
existing in space, time and taxonomic and functional knowledge. Yet, controversially the …
existing in space, time and taxonomic and functional knowledge. Yet, controversially the …
Building use‐inspired species distribution models: Using multiple data types to examine and improve model performance
Species distribution models (SDMs) are becoming an important tool for marine conservation
and management. Yet while there is an increasing diversity and volume of marine …
and management. Yet while there is an increasing diversity and volume of marine …
Sampling strategy matters to accurately estimate response curves' parameters in species distribution models
Aim Assessing how different sampling strategies affect the accuracy and precision of
species response curves estimated by parametric species distribution models. Major Taxa …
species response curves estimated by parametric species distribution models. Major Taxa …