Homoclime analysis and the prediction of weediness

Panetta, F. D.; Mitchell, N. D.

doi:10.1111/j.1365-3180.1991.tb01767.x

Cited by 64 publications

(24 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sometimes, a species' life history traits are important determinants of invasion potential (Rejmánek, 1996; Rejmánek & Richardson, 1996; Reichard & Hamilton, 1997). Sometimes, species, taxonomic, and behavioral traits help identify and rank invaders (Lee, 2001; Panetta & Mitchell, 1991).…”

Section: Discussionmentioning

confidence: 99%

“…Invasion also depends on environmental characteristics that may predispose a habitat to invasion (Fox & Fox, 1986; Hobbs & Huenneke, 1992; Lee, 2001; Panetta & Mitchell, 1991; Robinson et al , 1995; Tyser, 1992). Generalizations of habitat vulnerability to invasion have also been slow to emerge (Lodge, 1993; Lonsdale, 1999; Stohlgren et al , 1998, 1999a, 1999b; Usher, 1988).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Risk Analysis for Biological Hazards: What We Need to Know about Invasive Species

Stohlgren¹,

Schnase²

2005

Risk Analysis

218

174

View full text Add to dashboard Cite

Risk analysis for biological invasions is similar to other types of natural and human hazards. For example, risk analysis for chemical spills requires the evaluation of basic information on where a spill occurs; exposure level and toxicity of the chemical agent; knowledge of the physical processes involved in its rate and direction of spread; and potential impacts to the environment, economy, and human health relative to containment costs. Unlike typical chemical spills, biological invasions can have long lag times from introduction and establishment to successful invasion, they reproduce, and they can spread rapidly by physical and biological processes. We use a risk analysis framework to suggest a general strategy for risk analysis for invasive species and invaded habitats. It requires: (1) problem formation (scoping the problem, defining assessment endpoints); (2) analysis (information on species traits, matching species traits to suitable habitats, estimating exposure, surveys of current distribution and abundance); (3) risk characterization (understanding of data completeness, estimates of the "potential" distribution and abundance; estimates of the potential rate of spread; and probable risks, impacts, and costs); and (4) risk management (containment potential, costs, and opportunity costs; legal mandates and social considerations and information science and technology needs).

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Risk Analysis for Biological Hazards: What We Need to Know about Invasive Species

Stohlgren¹,

Schnase²

2005

Risk Analysis

218

174

View full text Add to dashboard Cite

show abstract

“…A cardinal assumption of correlative modelling is that the species is at equilibrium with its climatic environment (Panetta & Mitchell 1991). Under a rapidly changing climate regime, such as with anthropogenic climate change, it will be necessary to update periodically the baseline climatology so that inductive models can more correctly infer climate suitability from species distribution records in areas of recent range expansion.…”

Section: I M I T a T I O N S I N C U R R E N T A N D F U T U R E G mentioning

confidence: 99%

CliMond: global high‐resolution historical and future scenario climate surfaces for bioclimatic modelling

Kriticos¹,

Webber²,

Leriche³

et al. 2011

Methods Ecol Evol

643

664

View full text Add to dashboard Cite

Summary1. Gridded climatologies have become an indispensable component of bioclimatic modelling, with a range of applications spanning conservation and pest management. Such globally conformal data sets of historical and future scenario climate surfaces are required to model species potential ranges under current and future climate scenarios. 2. We developed a set of interpolated climate surfaces at 10¢ and 30¢ resolution for global land areas excluding Antarctica. Input data for the baseline climatology were gathered from the WorldClim and CRU CL1AE0 and CL2AE0 data sets. A set of future climate scenarios were generated at 10¢ resolution. For each of the historical and future scenario data sets, the full set of 35 Bioclim variables was generated. Climate variables (including relative humidity at 0900 and 1500 hours) were also generated in CLIMEX format. The Ko¨ppen-Geiger climate classification scheme was applied to the 10¢ hybrid climatology as a tool for visualizing climatic patterns and as an aid for specifying absence or background data for correlative modelling applications. 3. We tested the data set using a correlative model (MaxEnt) addressing conservation biology concerns for a rare Australian shrub, and a mechanistic niche model (CLIMEX) to map climate suitability for two invasive species. In all cases, the underlying climatology appeared to behave in a robust manner. 4. This global climate data set has the advantage over the WorldClim data set of including humidity data and an additional 16 Bioclim variables. Compared with the CRU CL2AE0 data set, the hybrid 10¢ data set includes improved precipitation estimates as well as projected climate for two global climate models running relevant greenhouse gas emission scenarios. 5. For many bioclimatic modelling purposes, there is an operational attraction to having a globally conformal historical climatology and future climate scenarios for the assessments of potential climate change impacts. Our data set is known as 'CliMond' and is available for free download from http://www.climond.org.

show abstract

“…, 2008). The use of this approach is related to one of the main hypothesis in invasion ecology stating that the environment of native vs. adventives’ ranges has to be similar to allow for a successful invasion (Panetta & Mitchell, 1991; Scott & Panetta, 1993).…”

Section: Approaches To Predict Invasionsmentioning

confidence: 99%

Predicting potential distributions of invasive species: where to go from here?

Gallien¹,

Münkemüller

Albert

et al. 2010

Diversity and Distributions

309

300

View full text Add to dashboard Cite

Aim There has been considerable recent interest in modelling the potential distributions of invasive species. However, research has developed in two opposite directions: the first, focusing on screening, utilizes phenomenological models; the second, focusing on predictions of invasion dynamics, utilizes mechanistic models. Here, we present hybrid modelling as an approach to bridge the gap and to integrate the advantages of both research directions. Location Global. Methods First, we briefly summarize the characteristics and limitations of both approaches (screening vs. understanding). Then, we review the recent developments of hybrid models, discuss their current problems and offer suggestions to improve them. Results Generally, hybrid models are able to combine the advantages of currently used phenomenological and mechanistic approaches. Main challenges in building hybrid models are the choices of the appropriate degree of detail and efficiency and the decision on how to connect the different sub‐models. Given these challenges, we discuss the links between the phenomenological and the mechanistic model parameters, the underlying concepts of fundamental and realized niches and the problem of feedback loops between population dynamics and environmental factors. Main conclusions Once the above challenges have been addressed and the necessary framework has been developed, hybrid models will provide outstanding tools for overcoming past limitations and will provide the means to make reliable and robust predictions of the potential distribution of invasive species, their population dynamics and the potential outcomes of the overall invasion process.

show abstract

Homoclime analysis and the prediction of weediness

Cited by 64 publications

References 22 publications

Risk Analysis for Biological Hazards: What We Need to Know about Invasive Species

Risk Analysis for Biological Hazards: What We Need to Know about Invasive Species

CliMond: global high‐resolution historical and future scenario climate surfaces for bioclimatic modelling

Predicting potential distributions of invasive species: where to go from here?

Contact Info

Product

Resources

About