Quantifying species distributions using species distribution models (SDMs) has emerged as
a central method in modern biogeography. These empirical models link species occurrence …

Species data held in museum and herbaria, survey data and opportunistically observed data
are a substantial information resource. A key challenge in using these data is the uncertainty …

Species distribution models (SDM s) have become a standard tool in ecology and applied
conservation biology. Modelling rare and threatened species is particularly important for …

Species distribution models (SDMs) are statistical tools that relate species observations to
environmental conditions to retrieve ecological niches and predict species' potential …

The aim of the current study is to map landslide susceptibility over the Ziarat watershed in
the Golestan Province, Iran, using Maximum Entropy (ME), as a machine learning model …

Range maps provide important information in species conservation management, specially
in the case of rare species of conservation interest. For the vast majority of cases, this …

Projecting the distribution of malaria vectors under climate change is essential for planning
integrated vector control activities for sustaining elimination and preventing reintroduction of …

The purpose of this study is to identify the key factors that influence the availability of
groundwater resources in a 10-year period in the Gonabad region of Iran using a maximum …

Background Mapping malaria risk is an integral component of efficient resource allocation.
Routine health facility data are convenient to collect, but without information on the locations …

Reliable methods to downscale species distributions from coarse to fine grain (equivalent to
resolution or support) hold great potential benefit for ecology and conservation. Existing …