Over the past two decades, the feedforward neural network (FNN) optimization has been a
key interest among the researchers and practitioners of multiple disciplines. The FNN …

Species distribution models (SDM s) are used to inform a range of ecological,
biogeographical and conservation applications. However, users often underestimate the …

Species distribution modeling (SDM) is widely used in ecology and conservation. Currently,
the most available data for SDM are species presence‐only records (available through …

The use of correlative ecological niche models has highly increased in the last decade.
Despite all literature and textbooks in this field, few practical guidelines exist on the correct …

Climate change is a pervasive threat to biodiversity. While range shifts are a known
consequence of climate warming contributing to regional community change, less is known …

Predictive performance is important to many applications of species distribution models
(SDMs). The SDM 'ensemble'approach, which combines predictions across different …

Flood is one of the most destructive natural disasters which cause great financial and life
losses per year. Therefore, producing susceptibility maps for flood management are …

Species distribution models are used to study biogeographic patterns and guide decision‐
making. The variable quality of these models makes it critical to assess whether a model's …

Concerted political attention has focused on reducing deforestation,,, and this remains the
cornerstone of most biodiversity conservation strategies,,. However, maintaining forest cover …

The random forest (RF) algorithm is an ensemble of classification or regression trees and is
widely used, including for species distribution modelling (SDM). Many researchers use …