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Wildlife disease prevalence in human‐modified landscapes

Overview of attention for article published in Biological Reviews, December 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 policy sources
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8 X users

Citations

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213 Dimensions

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488 Mendeley
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Title
Wildlife disease prevalence in human‐modified landscapes
Published in
Biological Reviews, December 2012
DOI 10.1111/brv.12009
Pubmed ID
Authors

Grant Brearley, Jonathan Rhodes, Adrian Bradley, Greg Baxter, Leonie Seabrook, Daniel Lunney, Yan Liu, Clive McAlpine

Abstract

Human-induced landscape change associated with habitat loss and fragmentation places wildlife populations at risk. One issue in these landscapes is a change in the prevalence of disease which may result in increased mortality and reduced fecundity. Our understanding of the influence of habitat loss and fragmentation on the prevalence of wildlife diseases is still in its infancy. What is evident is that changes in disease prevalence as a result of human-induced landscape modification are highly variable. The importance of infectious diseases for the conservation of wildlife will increase as the amount and quality of suitable habitat decreases due to human land-use pressures. We review the experimental and observational literature of the influence of human-induced landscape change on wildlife disease prevalence, and discuss disease transmission types and host responses as mechanisms that are likely to determine the extent of change in disease prevalence. It is likely that transmission dynamics will be the key process in determining a pathogen's impact on a host population, while the host response may ultimately determine the extent of disease prevalence. Finally, we conceptualize mechanisms and identify future research directions to increase our understanding of the relationship between human-modified landscapes and wildlife disease prevalence. This review highlights that there are rarely consistent relationships between wildlife diseases and human-modified landscapes. In addition, variation is evident between transmission types and landscape types, with the greatest positive influence on disease prevalence being in urban landscapes and directly transmitted disease systems. While we have a limited understanding of the potential influence of habitat loss and fragmentation on wildlife disease, there are a number of important areas to address in future research, particularly to account for the variability in increased and decreased disease prevalence. Previous studies have been based on a one-dimensional comparison between unmodified and modified sites. What is lacking are spatially and temporally explicit quantitative approaches which are required to enable an understanding of the range of key causal mechanisms and the reasons for variability. This is particularly important for replicated studies across different host-pathogen systems. Furthermore, there are few studies that have attempted to separate the independent effects of habitat loss and fragmentation on wildlife disease, which are the major determinants of wildlife population dynamics in human-modified landscapes. There is an urgent need to understand better the potential causal links between the processes of human-induced landscape change and the associated influences of habitat fragmentation, matrix hostility and loss of connectivity on an animal's physiological stress, immune response and disease susceptibility. This review identified no study that had assessed the influence of human-induced landscape change on the prevalence of a wildlife sexually transmitted disease. A better understanding of the various mechanisms linking human-induced landscape change and the prevalence of wildlife disease will lead to more successful conservation management outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 488 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
France 3 <1%
United Kingdom 3 <1%
Brazil 2 <1%
Mexico 2 <1%
South Africa 1 <1%
Colombia 1 <1%
Unknown 467 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 114 23%
Student > Master 76 16%
Researcher 69 14%
Student > Bachelor 67 14%
Student > Postgraduate 22 5%
Other 67 14%
Unknown 73 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 242 50%
Environmental Science 57 12%
Veterinary Science and Veterinary Medicine 43 9%
Biochemistry, Genetics and Molecular Biology 10 2%
Medicine and Dentistry 10 2%
Other 32 7%
Unknown 94 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 November 2021.
All research outputs
#3,141,089
of 24,641,327 outputs
Outputs from Biological Reviews
#623
of 1,521 outputs
Outputs of similar age
#31,342
of 290,493 outputs
Outputs of similar age from Biological Reviews
#14
of 22 outputs
Altmetric has tracked 24,641,327 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,521 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.9. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 290,493 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.