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A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD
Aim The idea of combining predictions from different models into an ensemble has gained
considerable popularity in species distribution modelling, partly due to free and …
considerable popularity in species distribution modelling, partly due to free and …
Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions
Among specific applications of species distribution models (SDMs), the use of SDMs
probabilistic maps for guiding field surveys is increasingly applied. This approach is …
probabilistic maps for guiding field surveys is increasingly applied. This approach is …
Top ten hazards to avoid when modeling species distributions: a didactic guide of assumptions, problems, and recommendations
Species distribution models, also known as ecological niche models or habitat suitability
models, have become commonplace for addressing fundamental and applied biodiversity …
models, have become commonplace for addressing fundamental and applied biodiversity …
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants
Understanding the relationship between the geographical distribution of taxa and their
environmental conditions is a key concept in ecology and conservation. The use of …
environmental conditions is a key concept in ecology and conservation. The use of …
[HTML][HTML] Prediction of the potentially suitable areas of Litsea cubeba in China based on future climate change using the optimized MaxEnt model
X Shi, J Wang, L Zhang, S Chen, A Zhao, X Ning… - Ecological …, 2023 - Elsevier
Litsea cubeba is an important woody oil plant. The essential oils (EOs) can be extracted from
its flowers, leaves and peels and, by volume, it is the most exported natural EOs from China …
its flowers, leaves and peels and, by volume, it is the most exported natural EOs from China …
flexsdm: An r package for supporting a comprehensive and flexible species distribution modelling workflow
Species distribution models (SDM) are widely used in diverse research areas because of
their simple data requirements and application versatility. However, SDM outcomes are …
their simple data requirements and application versatility. However, SDM outcomes are …
Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics
Aim Species distribution modelling, a family of statistical methods that predicts species
distributions from a set of occurrences and environmental predictors, is now routinely …
distributions from a set of occurrences and environmental predictors, is now routinely …
[HTML][HTML] Integrating citizen science and spatial ecology to inform management and conservation of the Italian seahorses
Citizen science and spatial ecology analyses can inform species distributions, habitat
preferences, and threats in elusive and endangered species such as seahorses. Through a …
preferences, and threats in elusive and endangered species such as seahorses. Through a …
The global distribution of plants used by humans
Plants sustain human life. Understanding geographic patterns of the diversity of species
used by people is thus essential for the sustainable management of plant resources. Here …
used by people is thus essential for the sustainable management of plant resources. Here …
Comparison between optimized MaxEnt and random forest modeling in predicting potential distribution: A case study with Quasipaa boulengeri in China
Z Zhao, N **ao, M Shen, J Li - Science of the Total Environment, 2022 - Elsevier
Random forest (RF) and MaxEnt models are shallow machine learning approaches that
perform well in predicting species' potential distributions. RF models can produce robust …
perform well in predicting species' potential distributions. RF models can produce robust …