Environmental niche modeling (ENM) is commonly used to develop probabilistic maps of
species distribution. Among available ENM techniques, MaxEnt has become one of the most …

A wide range of insects affect crop production and cause considerable yield losses.
Difficulties reside on the development and adaptation of adequate strategies to predict …

Recent studies have demonstrated a need for increased rigour in building and evaluating
ecological niche models (ENM s) based on presence‐only occurrence data. Two major …

Aim Ecological niche models are increasingly being used to aid in predicting the effects of
future climate change on species distributions. Complex models that show high predictive …

Maximum entropy modeling (Maxent) is a widely used algorithm for predicting species
distributions across space and time. Properly assessing the uncertainty in such predictions …

Numerous studies have been conducted on current distribution and future changes of
habitats by researchers from a range of disciplines such as ecology, biology, geography …

Future climate change is likely to affect distributions of species, disrupt biotic interactions,
and cause spatial incongruity of predator–prey habitats. Understanding the impacts of future …

Species distribution models (SDMs) represent a widely acknowledged tool to identify priority
areas on the basis of occurrence data and environmental factors. However, high levels of …

The Caatinga biome has been identified as one of the important wilderness areas on earth.
However, less than 1% of the region is under strictly legal protection although Seasonally …

Hyrcanian forests are a green belt of deciduous forests in the south of the Caspian Sea
whose integrity and survival of its commercial species, such as the chestnut-leaved oak …