2009
DOI: 10.1111/j.1472-4642.2008.00547.x
|View full text |Cite
|
Sign up to set email alerts
|

Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions

Abstract: AimWe explore the impact of calibrating ecological niche models (ENMs) using (1) native range (NR) data versus (2) entire range (ER) data (native and invasive) on projections of current and future distributions of three Hieracium species. Location H. aurantiacum , H. murorum and H. pilosella are native to Europe and invasive in Australia, New Zealand and North America.Methods Differences among the native and invasive realized climatic niches of each species were quantified. Eight ENMs in BIOMOD were calibrated… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

9
269
0
3

Year Published

2009
2009
2023
2023

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 272 publications
(283 citation statements)
references
References 61 publications
9
269
0
3
Order By: Relevance
“…Soil characteristics and vegetation have been shown to be important to this species (Jackson et al, , 2008. We selected the set of bioclimatic predictor variables that were likely to summarise temperature and moisture availability, which are important for predicting distributions (Beaumont et al, 2009). The bioclimatic predictor variables included: temperature seasonality; maximum temperature of warmest month; minimum temperature of coldest month; mean temperature of warmest month; annual precipitation; precipitation seasonality; precipitation of wettest quarter; and precipitation of warmest quarter.…”
Section: Predictor Variablesmentioning
confidence: 99%
“…Soil characteristics and vegetation have been shown to be important to this species (Jackson et al, , 2008. We selected the set of bioclimatic predictor variables that were likely to summarise temperature and moisture availability, which are important for predicting distributions (Beaumont et al, 2009). The bioclimatic predictor variables included: temperature seasonality; maximum temperature of warmest month; minimum temperature of coldest month; mean temperature of warmest month; annual precipitation; precipitation seasonality; precipitation of wettest quarter; and precipitation of warmest quarter.…”
Section: Predictor Variablesmentioning
confidence: 99%
“…Increased global trade and traffic, as well as species shifts as a result of global warming are major drivers of the introduction process. Results from recent studies suggest that plants that shift ranges towards higher latitudes and altitudes also include potential invaders (Engelkes et al 2008, Beaumont et al 2009, van Grunsven et al 2010.…”
Section: Introductionmentioning
confidence: 99%
“…This use of ecological niche modeling technique is similar to other studies for predicting the potential geographic distribution of a range of plant and animal invasive species such as mammals [50], birds [9,51], plants [52,53], amphibians and reptiles [54,55], insects [56] and fish [57]. Invasive bird species have been shown to have a higher success of establishment and spread in novel areas if the climate match is similar to that of the native range [58][59][60][61].…”
Section: Discussionmentioning
confidence: 73%