Journal ArticleDOI
Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement
Robert C. Venette,Darren J. Kriticos,Roger D. Magarey,Frank H. Koch,Richard H. A. Baker,Susan P. Worner,Nadilia N. Gomez Raboteaux,Daniel W. McKenney,Erhard J. Dobesberger,Denys Yemshanov,Paul J. De Barro,William D. Hutchison,Glenn Fowler,Tom Kalaris,John H. Pedlar +14 more
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TLDR
The need for pest risk maps is described, a comparison of pest risk mapping methods is compared, and future research to improve such important decision-support tools is recommended.Abstract:
Pest risk maps are powerful visual communication tools to describe where invasive alien species might arrive, establish, spread, or cause harmful impacts. These maps inform strategic and tactical pest management decisions, such as potential restrictions on international trade or the design of pest surveys and domestic quarantines. Diverse methods are available to create pest risk maps, and can potentially yield different depictions of risk for the same species. Inherent uncertainties about the biology of the invader, future climate conditions, and species interactions further complicate map interpretation. If multiple maps are available, risk managers must choose how to incorporate the various representations of risk into their decisionmaking process, and may make significant errors if they misunderstand what each map portrays. This article describes the need for pest risk maps, compares pest risk mapping methods, and recommends future research to improve such important decision-support tools.read more
Citations
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CliMond: global high‐resolution historical and future scenario climate surfaces for bioclimatic modelling
Darren J. Kriticos,Darren J. Kriticos,Bruce L. Webber,Bruce L. Webber,Agathe Leriche,Noboru Ota,Ian Macadam,J. Bathols,John K. Scott +8 more
TL;DR: In this paper, a set of interpolated climate surfaces at 10¢ and 30¢ resolution for global land areas excluding Antarctica was developed, with input data for the baseline climatology gathered from the WorldClim and CRU CL1AE0 and CL2AE0 data sets.
Journal ArticleDOI
Unifying niche shift studies: insights from biological invasions.
TL;DR: A review of empirical studies of invasion is built on to formalize a unifying framework that decomposes niche change into unfilling, stability, and expansion situations, taking both a pooled range and range-specific perspective on the niche, while accounting for climatic availability and climatic analogy.
Journal ArticleDOI
Impacts of climate change on plant diseases—opinions and trends
TL;DR: This overview addresses the need for review of this burgeoning literature by summarizing opinions of previous reviews and trends in recent studies on the impacts of climate change on plant health, using Sudden Oak Death as an introductory case study.
Journal ArticleDOI
Modelling the impacts of pests and diseases on agricultural systems
Marcello Donatelli,Roger D. Magarey,Simone Bregaglio,Laetitia Willocquet,Jeremy Whish,Serge Savary +5 more
TL;DR: A five-stage roadmap to improve the simulation of the impacts caused by plant diseases and pests is proposed and a new generation of tools based on state-of-the-art knowledge and technologies is needed to allow systems analysis including key processes and their dynamics over appropriate suitable range of environmental variables.
Journal ArticleDOI
Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models
Bruce L. Webber,Bruce L. Webber,Colin J. Yates,David C. Le Maitre,John K. Scott,Darren J. Kriticos,Darren J. Kriticos,Noboru Ota,Asha McNeill,Johannes J. Le Roux,Guy F. Midgley +10 more
TL;DR: This paper investigated the relative abilities of different bioclimatic models and data sets to project species ranges in novel environments utilizing the natural experiment in biogeography provided by Australian Acacia species.
References
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Novel methods improve prediction of species' distributions from occurrence data
Jane Elith,Catherine H. Graham,Robert P. Anderson,Miroslav Dudík,Simon Ferrier,Antoine Guisan,Robert J. Hijmans,Falk Huettmann,John R. Leathwick,Anthony Lehmann,Jin Li,Lúcia G. Lohmann,Bette A. Loiselle,Glenn Manion,Craig Moritz,Miguel Nakamura,Yoshinori Nakazawa,Jacob C. M. Mc Overton,A. Townsend Peterson,Steven J. Phillips,Karen Richardson,Ricardo Scachetti-Pereira,Robert E. Schapire,Jorge Soberón,Stephen E. Williams,Mary S. Wisz,Niklaus E. Zimmermann +26 more
TL;DR: This work compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date and found that presence-only data were effective for modelling species' distributions for many species and regions.
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Predictive habitat distribution models in ecology
TL;DR: A review of predictive habitat distribution modeling is presented, which shows that a wide array of models has been developed to cover aspects as diverse as biogeography, conservation biology, climate change research, and habitat or species management.
Journal ArticleDOI
A review of methods for the assessment of prediction errors in conservation presence/absence models
Alan H. Fielding,John Bell +1 more
TL;DR: Thirteen recommendations are made to enable the objective selection of an error assessment technique for ecological presence/absence models and a new approach to estimating prediction error, which is based on the spatial characteristics of the errors, is proposed.
Journal ArticleDOI
The Combination of Forecasts
J. M. Bates,Clive W. J. Granger +1 more
TL;DR: In this article, two separate sets of forecasts of airline passenger data have been combined to form a composite set of forecasts, and different methods of deriving these weights have been examined.
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