Species distribution modelling to support forest management. A literature review
Abstract Species Distribution Modelling (SDM) techniques were originally developed in the
mid-1980s. In this century they are gaining increasing attention in the literature and in …
mid-1980s. In this century they are gaining increasing attention in the literature and in …
A quantitative synthesis of the importance of variables used in MaxEnt species distribution models
Aim To synthesize the species distribution modelling (SDM) literature to inform which
variables have been used in MaxEnt models for different taxa and to quantify how frequently …
variables have been used in MaxEnt models for different taxa and to quantify how frequently …
A machine learning framework for multi-hazards modeling and map** in a mountainous area
This study sought to produce an accurate multi-hazard risk map for a mountainous region of
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …
New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities
A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-
resolution IRS LISS-III images is presented. The map was created using an on-screen visual …
resolution IRS LISS-III images is presented. The map was created using an on-screen visual …
Modelling invasive alien plant distribution: A literature review of concepts and bibliometric analysis
In the last decades, the number of publications dedicated to the application of species
distribution models (SDMs) to invasive alien plants (IAPs) has constantly increased …
distribution models (SDMs) to invasive alien plants (IAPs) has constantly increased …
Predicting the Habitat Suitability of Melaleuca cajuputi Based on the MaxEnt Species Distribution Model
Gelam tree or Melaleuca cajuputi (M. cajuputi) is an important species for the local economy
as well as coastal ecosystem protection in Terengganu, Malaysia. This study aimed at …
as well as coastal ecosystem protection in Terengganu, Malaysia. This study aimed at …
Landslide susceptibility assessment and map** using state-of-the art machine learning techniques
Landslides pose a serious risk to human life and the natural environment. Here, we compare
machine learning algorithms including the generalized linear model (GLM), mixture …
machine learning algorithms including the generalized linear model (GLM), mixture …
Beyond a climate-centric view of plant distribution: edaphic variables add value to distribution models
Both climatic and edaphic conditions determine plant distribution, however many species
distribution models do not include edaphic variables especially over large geographical …
distribution models do not include edaphic variables especially over large geographical …
Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran
Choosing Selecting suitable sites for afforestation is a complex process that is influenced by
various factors that require the use of new models and methods in order to create better …
various factors that require the use of new models and methods in order to create better …
A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling
R Halvorsen - Sommerfeltia, 2013 - sciendo.com
SOMMERFELTIA 36 (2013) Halvorsen: A strict maximum likelihood explanation of MaxEnt,...
2 illustrate important issues relating to MaxEnt methodology. Arguments for development of …
2 illustrate important issues relating to MaxEnt methodology. Arguments for development of …