NDLI: Exploring the effects of spatial autocorrelation when identifying key drivers of wildlife crop-raiding

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Exploring the effects of spatial autocorrelation when identifying key drivers of wildlife crop-raiding

Content Provider	PubMed Central
Author	Anna, Songhurst Coulson, Tim
Copyright Year	2013
Abstract	Few universal trends in spatial patterns of wildlife crop-raiding have been found. Variations in wildlife ecology and movements, and human spatial use have been identified as causes of this apparent unpredictability. However, varying spatial patterns of spatial autocorrelation (SA) in human–wildlife conflict (HWC) data could also contribute. We explicitly explore the effects of SA on wildlife crop-raiding data in order to facilitate the design of future HWC studies. We conducted a comparative survey of raided and nonraided fields to determine key drivers of crop-raiding. Data were subsampled at different spatial scales to select independent raiding data points. The model derived from all data was fitted to subsample data sets. Model parameters from these models were compared to determine the effect of SA. Most methods used to account for SA in data attempt to correct for the change in P-values; yet, by subsampling data at broader spatial scales, we identified changes in regression estimates. We consequently advocate reporting both model parameters across a range of spatial scales to help biological interpretation. Patterns of SA vary spatially in our crop-raiding data. Spatial distribution of fields should therefore be considered when choosing the spatial scale for analyses of HWC studies. Robust key drivers of elephant crop-raiding included raiding history of a field and distance of field to a main elephant pathway. Understanding spatial patterns and determining reliable socio-ecological drivers of wildlife crop-raiding is paramount for designing mitigation and land-use planning strategies to reduce HWC. Spatial patterns of HWC are complex, determined by multiple factors acting at more than one scale; therefore, studies need to be designed with an understanding of the effects of SA. Our methods are accessible to a variety of practitioners to assess the effects of SA, thereby improving the reliability of conservation management actions.
Related Links	http://dx.doi.org/10.1002/ece3.837
Ending Page	593
Page Count	12
Starting Page	582
File Format	PDF
ISSN	20457758
e-ISSN	20457758
Journal	Ecology and Evolution
Issue Number	5
Volume Number	4
Language	English
Publisher	John Wiley & Sons Ltd
Publisher Date	2014-03-01
Access Restriction	Open
Rights Holder	John Wiley & Sons Ltd
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Ecology Ecology, Evolution, Behavior and Systematics Nature and Landscape Conservation

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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