scholarly journals A simulation-based method for selecting calibration areas for ecological niche models and species distribution models

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fernando Machado-Stredel ◽  
Marlon E. Cobos ◽  
A. Townsend Peterson
Keyword(s):  
Species Distribution ◽  
Ecological Niche ◽  
Species Distribution Models ◽  
Ecological Niche Models ◽  
Distribution Models ◽  
Simulation Based ◽  
Niche Models

scholarly journals DATOS BIOLÓGICOS: FUENTES Y CONSIDERACIONES

2019 ◽  
Vol 2 (2) ◽  
pp. 05
Author(s):  
Deborah Veranea Espinosa Martínez
Keyword(s):  
Species Distribution ◽  
Ecological Niche ◽  
Species Distribution Models ◽  
Ecological Niche Models ◽  
Distribution Models ◽  
Niche Models

La elaboración de modelos de nicho ecológico (MNE/Ecological Niche Models) y/o modelos de distribución de especies (MDE/Species Distribution Models) requieren de diferentes fuentes de información para poder hacer la inferencia de la distribución de las especies en un espacio geográfico y ecológico interactuante (Ríos-Muñoz & Espinosa-Martínez, 2019; Peterson et al., 2011).  La información biológica está representada por los sitios geográficos donde las especies han sido registradas (datos de ocurrencia) y por lo tanto, bajo la perspectiva de los MNE/MDE, representan los sitios donde existen las condiciones ambientalmente viables (tanto físicas como ecológicas) para que las especies puedan mantenerse a largo plazo (Pulliam, 2000). Por esta razón, es necesario considerar diferentes aspectos referentes a la calidad de la información que representan los datos de ocurrencia de las especies y hacer énfasis en algunas consideraciones que deben tenerse con este tipo de datos. Esta es la segunda entrega de la serie de editoriales que están enfocadas a este proceso.

Simulation-Based Approaches for Ecological Niche Modelling

2016 ◽  
pp. 148-170
Author(s):  
Anusheema Chakraborty ◽  
P K Joshi
Keyword(s):  
Ecological Niche ◽  
Large Scale ◽  
Global Environmental Change ◽  
Experimental Models ◽  
Ecological Niche Models ◽  
Niche Modelling ◽  
Distribution Models ◽  
Simulation Based ◽  
Ecosystem Studies ◽  
The Face

Over recent years, many modelling approaches have been used to map and monitor both present and potential distribution of species in the context of ecological niche-based conservation, especially in the face of global environmental change. Using different statistical techniques in a built-in geographic information system (GIS), the development of predictive species distribution models has extensively increased. This chapter introduces a geospatial reference to simulation-based approaches of ecological niche models. The chapter discusses various environmental modeling tools and simulation models available in open source domain used by scientific communities. As an effort of this chapter, we focus on the potential of using such experimental models for large-scale ecosystem modelling studies, highlighting opportunities of research, for a variety of bio-geographical applications. It would serve as a basis for beginners in ecology exploring this field of research, who can further contribute and develop such models to better understand the complex field of ecosystem studies.

An evaluation of mapped species distribution models used for conservation planning

2005 ◽  
Vol 32 (2) ◽  
pp. 117-128 ◽  
Author(s):  
CHRIS J. JOHNSON ◽  
MICHAEL P. GILLINGHAM
Keyword(s):  
Species Distribution ◽  
Species Distribution Models ◽  
Independent Set ◽  
Predictive Performance ◽  
Selection Function ◽  
Ecological Niche Models ◽  
Distribution Models ◽  
Validation Data ◽  
Data Set ◽  
Distribution Maps

The widespread use of spatial planning tools in conjunction with increases in the availability of geographic information systems and associated data has led to the rapid growth in the exploration and application of species distribution models. Conservation professionals can choose from a considerable number of modelling techniques, but there has been relatively little evaluation of predictive performance, data requirements, or type of inference of these models. Empirical data for woodland caribou Rangifer tarandus caribou was used to examine four species distribution models, namely a qualitative habitat suitability index and quantitative resource selection function, Mahalanobis distance and ecological niche models. Models for three sets of independent variables were developed and then a temporally independent set of caribou locations evaluated predictive performance. The similarity of species distribution maps among the four modelling approaches was also quantified. All of the quantitative species distribution models were good predictors of the validation data set, but the spatial distribution of mapped habitats differed considerably among models. These results suggest that choice of model and variable set could influence the identification of areas for conservation emphasis. Model choice may be limited by the type of species locations or desired inference. Conservation professionals should choose a model and variable set based on the question, the ecology of the species and the availability of requisite data.

Simulation-Based Approaches for Ecological Niche Modelling

2020 ◽  
pp. 805-827
Author(s):  
Anusheema Chakraborty ◽  
P K Joshi
Keyword(s):  
Ecological Niche ◽  
Large Scale ◽  
Global Environmental Change ◽  
Experimental Models ◽  
Ecological Niche Models ◽  
Niche Modelling ◽  
Distribution Models ◽  
Simulation Based ◽  
Ecosystem Studies ◽  
The Face

Over recent years, many modelling approaches have been used to map and monitor both present and potential distribution of species in the context of ecological niche-based conservation, especially in the face of global environmental change. Using different statistical techniques in a built-in geographic information system (GIS), the development of predictive species distribution models has extensively increased. This chapter introduces a geospatial reference to simulation-based approaches of ecological niche models. The chapter discusses various environmental modeling tools and simulation models available in open source domain used by scientific communities. As an effort of this chapter, we focus on the potential of using such experimental models for large-scale ecosystem modelling studies, highlighting opportunities of research, for a variety of bio-geographical applications. It would serve as a basis for beginners in ecology exploring this field of research, who can further contribute and develop such models to better understand the complex field of ecosystem studies.

Sign in / Sign up

Export Citation Format

Share Document