Impacts of climate change on the Bay of Seine ecosystem: Forcing a spatio‐temporal trophic model with predictions from an ecological niche model

2021 ◽  
Author(s):  
Pierre Bourdaud ◽  
Frida Ben Rais Lasram ◽  
Emma Araignous ◽  
Juliette Champagnat ◽  
Samantha Grusd ◽  
...  
Keyword(s):  
Climate Change ◽  
Ecological Niche ◽  
Ecological Niche Model ◽  
Niche Model ◽  
Spatio Temporal ◽  
Impacts Of Climate Change

An assessment of the impact of climate change on the distribution of the grey-shanked douc Pygathrix cinerea using an ecological niche model

Primates ◽  
2019 ◽  
Vol 61 (2) ◽  
pp. 267-275
Author(s):  
Thinh T. Vu ◽  
Dung V. Tran ◽  
Hoa T. P. Tran ◽  
Manh D. Nguyen ◽  
Tuan A. Do ◽  
...  
Keyword(s):  
Climate Change ◽  
Ecological Niche ◽  
Ecological Niche Model ◽  
Niche Model ◽  
Impact Of Climate Change ◽  
The Impact ◽  
Pygathrix Cinerea

scholarly journals Assessment and representation of variability in ecological niche model predictions

2019 ◽  
Author(s):  
Marlon E. Cobos ◽  
Luis Osorio-Olvera ◽  
A. Townsend Peterson
Keyword(s):  
Ecological Niche ◽  
Ecological Niche Model ◽  
Ecological Niche Models ◽  
Niche Model ◽  
Geographic Space ◽  
Modeling Process ◽  
Model Predictions ◽  
Research Questions ◽  
Model Variability ◽  
Impacts Of Climate Change

AbstractEcological niche models are popular tools used in fields such as ecology, biogeography, conservation biology, and epidemiology. These models are used commonly to produce representations of species’ potential distributions, which are then used to answer other research questions; for instance, where species richness is highest, where potential impacts of climate change can be anticipated, or where to expect spread of invasive species or disease vectors. Although these representations of potential distributions are variable which contributes to uncertainty in these predictions, model variability is neglected when presenting results of ecological niche model analyses. Here, we present examples of how to quantify and represent variability in models, particularly when models are transferred in space and time. To facilitate implementations of analyses of variability, we developed R functions and made them freely available. We demonstrate means of understanding how much variation exists and where this variation is manifested in geographic space. Representing model variability in geographic space gives a reference of the uncertainty in predictions, so analyzing this aspect of model outcomes must be a priority when policy is to be set or decisions taken based on these models. Our open access tools also facilitate post modeling process that otherwise could take days of manual work.

scholarly journals First record of the invasive bee Anthidium manicatum (Hymenoptera: Megachilidae) in Chile

2015 ◽  
pp. 1-5 ◽  
Author(s):  
Jose Miguel Montalva ◽  
Mauro Ríos ◽  
Felipe Vivallo
Keyword(s):  
South America ◽  
New Record ◽  
Ecological Niche ◽  
First Record ◽  
Ecological Niche Model ◽  
Metropolitan Region ◽  
Niche Model ◽  
Invasive Range ◽  
First Time ◽  
Anthidium Manicatum

The Palearctic wool carder bee Anthidium manicatum (Linnaeus) is recorded for the first time in Chile based on eight specimens collected on Lavandula sp. (Lamiaceae) in San Bernardo, Metropolitan Region.  This new record expands the invasive range of this species in South America, confirming previous predictions based on an ecological niche model.

scholarly journals Ecological niche model of Phlebotomus alexandri and P. papatasi (Diptera: Psychodidae) in the Middle East

2010 ◽  
Vol 9 (1) ◽  
pp. 2 ◽  
Author(s):  
Michelle G Colacicco-Mayhugh ◽  
Penny M Masuoka ◽  
John P Grieco
Keyword(s):  
Middle East ◽  
Ecological Niche ◽  
Ecological Niche Model ◽  
Niche Model

From Niches to Distributions

2011 ◽  
Author(s):  
A. Townsend Peterson ◽  
Jorge Soberón ◽  
Richard G. Pearson ◽  
Robert P. Anderson ◽  
Enrique Martínez-Meyer ◽  
...  
Keyword(s):  
Ecological Niche ◽  
Ecological Niche Model ◽  
Niche Model

This chapter explores the conceptual bases for the discrepancy between species’ potential geographic distributional areas and their occupied distributional areas, focusing on the case of conditions when the Eltonian Noise Hypothesis is true as well as the necessary modifications when it is not. It first considers the meaning of the potential distributional area and the reasons why an ecological niche model may not estimate it correctly. It then explains why a species may not be at equilibrium with its potential distributional area, but rather inhabits only some subset of areas suitable for it. It also discusses nonequilibrium distributions that may arise in terms of the BAM diagram before concluding with an analysis of procedures for further processing of a niche model, which expresses potential geographic distributional area, to yield an estimate of occupied distributional area.

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