Machine learning (also called data-driven) methods have become popular in modeling flood
inundations across river basins. Among data-driven methods, traditional machine learning …

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 availability of planetary‐scale geospatial datasets that can support the study of water‐
related disasters in the Anthropocene is rapidly growing. We review 124 global and free …

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 …

Aim To assess whether flexible species distribution models that perform well at nearby
testing locations still perform strongly when evaluated on spatially separated testing data …

Background Drought and salinity stress have been proposed as the main environmental
factors threatening food security, as they adversely affect crops' agricultural productivity. As a …

Wetlands play a vital role in ecosystems. They help in flood accumulation, water purification,
groundwater recharge, shoreline stabilization, provision of habitats for flora and fauna, and …

Intertidal wetlands such as mangrove and saltmarsh are increasingly susceptible to areal
losses related to sea level rise. This exposure is potentially offset by processes that might …

The duration of inundation or saturation (ie, hydroperiod) controls many wetland functions. In
particular, it is a key determinant of whether a wetland will provide suitable breeding habitat …

The spatial distribution of snow plays a vital role in sub-Arctic and Arctic climate, hydrology,
and ecology due to its fundamental influence on the water balance, thermal regimes …