Literature DB >> 26769428

Monitoring for the Management of Disease Risk in Animal Translocation Programmes.

James D Nichols1, Tuula E Hollmen2,3, James B Grand4.   

Abstract

Monitoring is best viewed as a component of some larger programme focused on science or conservation. The value of monitoring is determined by the extent to which it informs the parent process. Animal translocation programmes are typically designed to augment or establish viable animal populations without changing the local community in any detrimental way. Such programmes seek to minimize disease risk to local wild animals, to translocated animals, and in some cases to humans. Disease monitoring can inform translocation decisions by (1) providing information for state-dependent decisions, (2) assessing progress towards programme objectives, and (3) permitting learning in order to make better decisions in the future. Here we discuss specific decisions that can be informed by both pre-release and post-release disease monitoring programmes. We specify state variables and vital rates needed to inform these decisions. We then discuss monitoring data and analytic methods that can be used to estimate these state variables and vital rates. Our discussion is necessarily general, but hopefully provides a basis for tailoring disease monitoring approaches to specific translocation programmes.

Entities:  

Keywords:  capture–recapture modelling; conservation decisions; disease risk; monitoring programme; occupancy modelling; translocation programmes

Mesh:

Year:  2016        PMID: 26769428     DOI: 10.1007/s10393-015-1094-4

Source DB:  PubMed          Journal:  Ecohealth        ISSN: 1612-9202            Impact factor:   3.184


  20 in total

1.  Hierarchical modeling of an invasive spread: the Eurasian Collared-Dove Streptopelia decaocto in the United States.

Authors:  Florent Bled; J Andrew Royle; Emmanuelle Cam
Journal:  Ecol Appl       Date:  2011-01       Impact factor: 4.657

2.  Modeling false positive detections in species occurrence data under different study designs.

Authors:  Thierry Chambert; David A W Miller; James D Nichols
Journal:  Ecology       Date:  2015-02       Impact factor: 5.499

3.  Multievent: an extension of multistate capture-recapture models to uncertain states.

Authors:  Roger Pradel
Journal:  Biometrics       Date:  2005-06       Impact factor: 2.571

4.  Generalized site occupancy models allowing for false positive and false negative errors.

Authors:  J Andrew Royle; William A Link
Journal:  Ecology       Date:  2006-04       Impact factor: 5.499

Review 5.  Monitoring for conservation.

Authors:  James D Nichols; Byron K Williams
Journal:  Trends Ecol Evol       Date:  2006-08-17       Impact factor: 17.712

6.  Occupancy estimation and modeling with multiple states and state uncertainty.

Authors:  James D Nichols; A James E Hines; Darryl I Mackenzie; Mark E Seamans; R J Gutiérrez
Journal:  Ecology       Date:  2007-06       Impact factor: 5.499

7.  Modeling species occurrence dynamics with multiple states and imperfect detection.

Authors:  Darryl I MacKenzie; James D Nichols; Mark E Seamans; R J Gutiérrez
Journal:  Ecology       Date:  2009-03       Impact factor: 5.499

8.  State-specific detection probabilities and disease prevalence.

Authors:  Christopher S Jennelle; Evan G Cooch; Michael J Conroy; Juan Carlos Senar
Journal:  Ecol Appl       Date:  2007-01       Impact factor: 4.657

9.  Impact and dynamics of disease in species threatened by the amphibian chytrid fungus, Batrachochytrium dendrobatidis.

Authors:  Kris A Murray; Lee F Skerratt; Rick Speare; Hamish McCallum
Journal:  Conserv Biol       Date:  2009-10       Impact factor: 6.560

10.  Cryptic vector divergence masks vector-specific patterns of infection: an example from the marine cycle of Lyme borreliosis.

Authors:  Elena Gómez-Díaz; Paul F Doherty; David Duneau; Karen D McCoy
Journal:  Evol Appl       Date:  2010-04-09       Impact factor: 5.183

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  1 in total

1.  The Certainty of Uncertainty: Potential Sources of Bias and Imprecision in Disease Ecology Studies.

Authors:  Shelly Lachish; Kris A Murray
Journal:  Front Vet Sci       Date:  2018-05-22
  1 in total

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