[HTML][HTML] Trends in species distribution modelling in context of rare and endemic plants: a systematic review
Background Many research papers have utilized Species Distribution Models to estimate a
species' current and future geographic distribution and environmental niche. This study aims …
species' current and future geographic distribution and environmental niche. This study aims …
[HTML][HTML] Trends and gaps in the use of citizen science derived data as input for species distribution models: A quantitative review
Citizen science (CS) currently refers to the participation of non-scientist volunteers in any
discipline of conventional scientific research. Over the last two decades, nature-based CS …
discipline of conventional scientific research. Over the last two decades, nature-based CS …
A new avenue for Bayesian inference with INLA
Abstract Integrated Nested Laplace Approximations (INLA) has been a successful
approximate Bayesian inference framework since its proposal by Rue et al.(2009). The …
approximate Bayesian inference framework since its proposal by Rue et al.(2009). The …
[HTML][HTML] Spatially varying coefficients can improve parsimony and descriptive power for species distribution models
Species distribution models (SDMs) are widely used to relate species occurrence and
density to local environmental conditions, and often include a spatially correlated variable to …
density to local environmental conditions, and often include a spatially correlated variable to …
[HTML][HTML] Current and future influence of environmental factors on small pelagic fish distributions in the Northwestern Mediterranean Sea
In the Northwestern Mediterranean Sea, the European sardine (Sardina pilchardus) and the
European anchovy (Engraulis encrasicolus) are the most important small pelagic fish in …
European anchovy (Engraulis encrasicolus) are the most important small pelagic fish in …
Combining scientific survey and commercial catch data to map fish distribution
Abstract Developing Species Distribution Models (SDM) for marine exploited species is a
major challenge in fisheries ecology. Classical modelling approaches typically rely on fish …
major challenge in fisheries ecology. Classical modelling approaches typically rely on fish …
[HTML][HTML] MaxEnt Modeling Based on CMIP6 Models to Project Potential Suitable Zones for Cunninghamia lanceolata in China
Y Zhou, Z Zhang, B Zhu, X Cheng, L Yang, M Gao… - Forests, 2021 - mdpi.com
Cunninghamia lanceolata (Lamb.) Hook.(Chinese fir) is one of the main timber species in
Southern China, which has a wide planting range that accounts for 25% of the overall …
Southern China, which has a wide planting range that accounts for 25% of the overall …
[HTML][HTML] Using a Bayesian modelling approach (INLA-SPDE) to predict the occurrence of the Spinetail Devil Ray (Mobular mobular)
To protect the most vulnerable marine species it is essential to have an understanding of
their spatiotemporal distributions. In recent decades, Bayesian statistics have been …
their spatiotemporal distributions. In recent decades, Bayesian statistics have been …
[HTML][HTML] Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning
This article describes a data-driven framework based on spatiotemporal machine learning to
produce distribution maps for 16 tree species (Abies alba Mill., Castanea sativa Mill …
produce distribution maps for 16 tree species (Abies alba Mill., Castanea sativa Mill …
[HTML][HTML] Can we use machine learning for agricultural land suitability assessment?
It is vital for farmers to know if their land is suitable for the crops that they plan to grow. An
increasing number of studies have used machine learning models based on land use data …
increasing number of studies have used machine learning models based on land use data …