Literature DB >> 21536884

General rules for managing and surveying networks of pests, diseases, and endangered species.

Iadine Chadès1, Tara G Martin, Samuel Nicol, Mark A Burgman, Hugh P Possingham, Yvonne M Buckley.   

Abstract

The efficient management of diseases, pests, or endangered species is an important global issue faced by agencies constrained by limited resources. The management challenge is even greater when organisms are difficult to detect. We show how to prioritize management and survey effort across time and space for networks of susceptible-infected-susceptible subpopulations. We present simple and robust rules of thumb for protecting desirable, or eradicating undesirable, subpopulations connected in typical network patterns (motifs). We further demonstrate that these rules can be generalized to larger networks when motifs are combined in more complex formations. Results show that the best location to manage or survey a pest or a disease on a network is also the best location to protect or survey an endangered species. The optimal starting point in a network is the fastest motif to manage, where line, star, island, and cluster motifs range from fast to slow. Managing the most connected node at the right time and maintaining the same management direction provide advantages over previously recommended outside-in strategies. When a species or disease is not detected and our belief in persistence decreases, our results recommend shifting resources toward management or surveillance of the most connected nodes. Our analytic approximation provides guidance on how long we should manage or survey networks for hard-to-detect organisms. Our rules take into account management success, dispersal, economic cost, and imperfect detection and offer managers a practical basis for managing networks relevant to many significant environmental, biosecurity, and human health issues.

Entities:  

Mesh:

Year:  2011        PMID: 21536884      PMCID: PMC3100963          DOI: 10.1073/pnas.1016846108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  24 in total

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Review 5.  Ecological networks and their fragility.

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Journal:  Nature       Date:  2006-07-20       Impact factor: 49.962

6.  Network thinking in ecology and evolution.

Authors:  Stephen R Proulx; Daniel E L Promislow; Patrick C Phillips
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7.  Endangered species. U.S. announces recovery plan for a ghost bird.

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Journal:  Science       Date:  2007-08-31       Impact factor: 47.728

8.  Streamlining 'search and destroy': cost-effective surveillance for invasive species management.

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Journal:  Ecol Lett       Date:  2009-05-11       Impact factor: 9.492

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Journal:  Nature       Date:  2000-05-11       Impact factor: 49.962

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Authors:  Neil M Ferguson; Derek A T Cummings; Christophe Fraser; James C Cajka; Philip C Cooley; Donald S Burke
Journal:  Nature       Date:  2006-04-26       Impact factor: 49.962

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  31 in total

1.  Migratory connectivity magnifies the consequences of habitat loss from sea-level rise for shorebird populations.

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Journal:  Proc Biol Sci       Date:  2013-06-22       Impact factor: 5.349

2.  Adapting environmental management to uncertain but inevitable change.

Authors:  Sam Nicol; Richard A Fuller; Takuya Iwamura; Iadine Chadès
Journal:  Proc Biol Sci       Date:  2015-06-07       Impact factor: 5.349

3.  Timescales and the management of ecological systems.

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-11       Impact factor: 11.205

4.  Integral control for population management.

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Review 5.  To Reduce the Global Burden of Human Schistosomiasis, Use 'Old Fashioned' Snail Control.

Authors:  Susanne H Sokolow; Chelsea L Wood; Isabel J Jones; Kevin D Lafferty; Armand M Kuris; Michael H Hsieh; Giulio A De Leo
Journal:  Trends Parasitol       Date:  2017-11-07

6.  Improving network approaches to the study of complex social-ecological interdependencies.

Authors:  Ö Bodin; S M Alexander; J Baggio; M L Barnes; R Berardo; G S Cumming; L Dee; A P Fischer; M Fischer; M Mancilla-Garcia; A Guerrero; J Hileman; K Ingold; P Matous; T H Morrison; D Nohrstedt; J Pittman; G Robins; J Sayles
Journal:  Nat Sustain       Date:  2019-07-01

7.  Agent-based Bayesian approach to monitoring the progress of invasive species eradication programs.

Authors:  Jonathan M Keith; Daniel Spring
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-22       Impact factor: 11.205

8.  Robust set-point regulation for ecological models with multiple management goals.

Authors:  Chris Guiver; Markus Mueller; Dave Hodgson; Stuart Townley
Journal:  J Math Biol       Date:  2015-08-05       Impact factor: 2.259

9.  Evaluating the effects of landscape structure on the recovery of an invasive vertebrate after population control.

Authors:  Pablo García-Díaz; Dean P Anderson; Miguel Lurgi
Journal:  Landsc Ecol       Date:  2019-03-15       Impact factor: 3.848

10.  Spatial optimization of invasive species control informed by management practices.

Authors:  Makoto Nishimoto; Tadashi Miyashita; Hiroyuki Yokomizo; Hiroyuki Matsuda; Takeshi Imazu; Hiroo Takahashi; Masami Hasegawa; Keita Fukasawa
Journal:  Ecol Appl       Date:  2021-01-21       Impact factor: 4.657

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