Literature DB >> 16492190

Risk analysis for biological hazards: what we need to know about invasive species.

Thomas J Stohlgren1, John L Schnase.   

Abstract

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).

Entities:  

Mesh:

Year:  2006        PMID: 16492190     DOI: 10.1111/j.1539-6924.2006.00707.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  24 in total

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Authors:  David T Barnett; Thomas J Stohlgren; Catherine S Jarnevich; Geneva W Chong; Jenny A Ericson; Tracy R Davern; Sara E Simonson
Journal:  Environ Monit Assess       Date:  2007-02-06       Impact factor: 2.513

2.  A quantitative climate-match score for risk-assessment screening of reptile and amphibian introductions.

Authors:  Nicola J van Wilgen; Núria Roura-Pascual; David M Richardson
Journal:  Environ Manage       Date:  2009-07-07       Impact factor: 3.266

3.  Regional data refine local predictions: modeling the distribution of plant species abundance on a portion of the central plains.

Authors:  Nicholas E Young; Thomas J Stohlgren; Paul H Evangelista; Sunil Kumar; Jim Graham; Greg Newman
Journal:  Environ Monit Assess       Date:  2011-09-13       Impact factor: 2.513

4.  Trends in nonindigenous aquatic species richness in the United States reveal shifting spatial and temporal patterns of species introductions.

Authors:  Michael J Mangiante; Amy J S Davis; Stephanie Panlasigui; Matthew E Neilson; Ian Pfingsten; Pam L Fuller; John A Darling
Journal:  Aquat Invasions       Date:  2018-09-01       Impact factor: 2.170

5.  Corruption, development and governance indicators predict invasive species risk from trade.

Authors:  Evan C Brenton-Rule; Rafael F Barbieri; Philip J Lester
Journal:  Proc Biol Sci       Date:  2016-06-15       Impact factor: 5.349

6.  Management of invasive populations of the freshwater crayfish Procambarus clarkii (Decapoda, Cambaridae): test of a population-control method and proposal of a standard monitoring approach.

Authors:  Tainã Gonçalves Loureiro; Pedro Manuel Anastácio; Sérgio Luiz de Siqueira Bueno; Paula Beatriz Araujo
Journal:  Environ Monit Assess       Date:  2018-08-30       Impact factor: 2.513

Review 7.  Weighing empirical and hypothetical evidence for assessing potential invasive species range limits: a review of the case of Burmese pythons in the USA.

Authors:  Richard Engeman; Michael L Avery; Elliott Jacobson
Journal:  Environ Sci Pollut Res Int       Date:  2014-06-19       Impact factor: 4.223

8.  Climate and pH predict the potential range of the invasive apple snail (Pomacea insularum) in the southeastern United States.

Authors:  James E Byers; William G McDowell; Shelley R Dodd; Rebecca S Haynie; Lauren M Pintor; Susan B Wilde
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

9.  An expert-based risk ranking framework for assessing potential pathogens in the live baitfish trade.

Authors:  Margaret C McEachran; Fernando Sampedro; Dominic A Travis; Nicholas B D Phelps
Journal:  Transbound Emerg Dis       Date:  2020-12-28       Impact factor: 4.521

10.  Alien roadside species more easily invade alpine than lowland plant communities in a subarctic mountain ecosystem.

Authors:  Jonas J Lembrechts; Ann Milbau; Ivan Nijs
Journal:  PLoS One       Date:  2014-02-26       Impact factor: 3.240

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