Disease dynamics during wildlife translocations: disruptions to the host population and potential consequences for transmission in desert tortoise contact networks

被引:47
作者
Aiello, C. M. [1 ,2 ]
Nussear, K. E. [1 ]
Walde, A. D. [3 ]
Esque, T. C. [1 ]
Emblidge, P. G. [2 ]
Sah, P. [4 ]
Bansal, S. [4 ,5 ]
Hudson, P. J. [2 ]
机构
[1] US Geol Survey, Western Ecol Res Ctr, Henderson, NV 89074 USA
[2] Penn State Univ, Ctr Infect Dis Dynam, University Pk, PA 16802 USA
[3] Walde Res & Environm Consulting, Atascadero, CA USA
[4] Georgetown Univ, Dept Biol, Washington, DC 20057 USA
[5] NIH, Fogarty Int Ctr, Bethesda, MD 20892 USA
基金
美国国家科学基金会;
关键词
translocation; disease risk; pathogen transmission dynamics; contact networks; desert tortoise; Mycoplasma; RESPIRATORY-TRACT DISEASE; SOCIAL NETWORKS; GOPHERUS-AGASSIZII; CONSERVATION TOOL; RISK-ASSESSMENT; MOJAVE DESERT; HOME-RANGE; BEHAVIOR; STRESS; SPREAD;
D O I
10.1111/acv.12147
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Wildlife managers consider animal translocation a means of increasing the viability of a local population. However, augmentation may disrupt existing resident disease dynamics and initiate an outbreak that would effectively offset any advantages the translocation may have achieved. This paper examines fundamental concepts of disease ecology and identifies the conditions that will increase the likelihood of a disease outbreak following translocation. We highlight the importance of susceptibility to infection, population size and population connectivity a characteristic likely affected by translocation but not often considered in risk assessments - in estimating outbreak risk due to translocation. We then explore these features in a species of conservation concern often translocated in the presence of infectious disease, the Mojave Desert tortoise, and use data from experimental tortoise translocations to detect changes in population connectivity that may influence pathogen transmission. Preliminary analyses comparing contact networks inferred from spatial data at control and translocation plots and infection simulation results through these networks suggest increased outbreak risk following translocation due to dispersal-driven changes in contact frequency and network structure. We outline future research goals to test these concepts and aid managers in designing effective risk assessment and intervention strategies that will improve translocation success.
引用
收藏
页码:27 / 39
页数:13
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