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Point pattern simulation modelling of extensive and intensive chicken farming in Thailand : accounting for clustering and landscape characteristics
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Chaiban, Celia, Biscio, Christophe, Thanapongtharm, Weerapong, Tildesley, Michael J., Xiao, Xiangming, Robinson, Timothy P., Vanwambeke, Sophie O. and Gilbert, Marius (2019) Point pattern simulation modelling of extensive and intensive chicken farming in Thailand : accounting for clustering and landscape characteristics. Agricultural Systems, 173 . pp. 335-344. doi:10.1016/j.agsy.2019.03.004 ISSN 0308-521X.
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Official URL: http://dx.doi.org/10.1016/j.agsy.2019.03.004
Abstract
In recent decades, intensification of animal production has been occurring rapidly in transition economies to meet the growing demands of increasingly urban populations. This comes with significant environmental, health and social impacts. To assess these impacts, detailed maps of livestock distributions have been developed by downscaling census data at the pixel level (10 km or 1 km), providing estimates of the density of animals in each pixel. However, these data remain at fairly coarse scale and many epidemiological or environmental science applications would make better use of data where the distribution and size of farms are predicted rather than the number of animals per pixel. Based on detailed 2010 census data, we investigated the spatial point pattern distribution of extensive and intensive chicken farms in Thailand. We parameterized point pattern simulation models for extensive and intensive chicken farms and evaluated these models in different parts of Thailand for their capacity to reproduce the correct level of spatial clustering and the most likely locations of the farm clusters. We found that both the level of clustering and location of clusters could be simulated with reasonable accuracy by our farm distribution models. Furthermore, intensive chicken farms tended to be much more clustered than extensive farms, and their locations less easily predicted using simple spatial factors such as human populations. These point-pattern simulation models could be used to downscale coarse administrative level livestock census data into farm locations. This methodology could be of particular value in countries where farm location data are unavailable.
Item Type: | Journal Article | |||||||||||||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor | |||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Chicken industry -- Thailand, Thailand -- Census -- Methodology | |||||||||||||||
Journal or Publication Title: | Agricultural Systems | |||||||||||||||
Publisher: | Elsevier | |||||||||||||||
ISSN: | 0308-521X | |||||||||||||||
Official Date: | July 2019 | |||||||||||||||
Dates: |
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Volume: | 173 | |||||||||||||||
Page Range: | pp. 335-344 | |||||||||||||||
DOI: | 10.1016/j.agsy.2019.03.004 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||
Date of first compliant deposit: | 8 May 2019 | |||||||||||||||
Date of first compliant Open Access: | 22 September 2020 | |||||||||||||||
RIOXX Funder/Project Grant: |
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