2014
DOI: 10.1007/s10530-014-0813-z
|View full text |Cite
|
Sign up to set email alerts
|

Alien species in a warming climate: a case study of the nutcracker and stone pines

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2016
2016
2019
2019

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 38 publications
0
4
0
Order By: Relevance
“…The more ecological knowledge we have about a species, the better we can predict its future range. Although predictor variables are often limited to climatic variables, some non-climatic variables can be introduced in predictive models to improve predictions (Araújo and Luoto, 2007;Hof et al, 2012a;Hof, 2015). However, not all factors that are important in determining a species' range can be entered in species distribution models as predictor variables.…”
Section: Species Distribution Modellingmentioning
confidence: 99%
“…The more ecological knowledge we have about a species, the better we can predict its future range. Although predictor variables are often limited to climatic variables, some non-climatic variables can be introduced in predictive models to improve predictions (Araújo and Luoto, 2007;Hof et al, 2012a;Hof, 2015). However, not all factors that are important in determining a species' range can be entered in species distribution models as predictor variables.…”
Section: Species Distribution Modellingmentioning
confidence: 99%
“…The regions with established raccoon populations in Austria mainly include the non-alpine regions, where altitude plays a minor role. However, running iSDMs based on climate change scenarios [67] might yield distinctly deviating predictions for raccoon distribution within the entire alpine range.…”
Section: Climate Drivers Of Raccoon Distributionmentioning
confidence: 99%
“…The sensitivity and adaptive capacity of species to climate change should also be determined to obtain more accurate vulnerability assessments. A few studies have demonstrated the potential, and importance, of incorporating species interactions in SDMs (Araújo and Luoto 2007, Hof et al 2012a, Kissling et al 2012, Hof 2015, but opportunities to introduce such factors are limited (Hof et al 2012a). Most studies disregard the potential effect of species interactions, as well as anthropogenic and other abiotic factors, although there is an increasing appeal from the research community to include such factors (Dawson et al 2011, Bellard et al 2012.…”
Section: Introductionmentioning
confidence: 99%
“…Most studies disregard the potential effect of species interactions, as well as anthropogenic and other abiotic factors, although there is an increasing appeal from the research community to include such factors (Dawson et al 2011, Bellard et al 2012. A few studies have demonstrated the potential, and importance, of incorporating species interactions in SDMs (Araújo and Luoto 2007, Hof et al 2012a, Kissling et al 2012, Hof 2015, but opportunities to introduce such factors are limited (Hof et al 2012a). For example, incorporating the future food availability of a generalist species would be conceptually and computationally difficult.…”
Section: Introductionmentioning
confidence: 99%