Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors
Existing cluster-based methods for investigating insect species assemblages or profiles of a region to indicate the risk of new insect pest invasion have a major limitation in that they assign the same species risk factors to each region in a cluster. Clearly regions assigned to the same cluster hav...
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International Academy of Ecology and Environmental Sciences
2011-09-01
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Online Access: | http://www.iaees.org/publications/journals/ces/articles/2011-1(3)/Improving-cluster-based-methods.pdf |
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doaj-0b7ecbd0eab84d67be58f05c168b21d72020-11-24T22:50:28ZengInternational Academy of Ecology and Environmental SciencesComputational Ecology and Software2220-721X2011-09-0113138145Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factorsMichael J. WattsSusan P. WornerExisting cluster-based methods for investigating insect species assemblages or profiles of a region to indicate the risk of new insect pest invasion have a major limitation in that they assign the same species risk factors to each region in a cluster. Clearly regions assigned to the same cluster have different degrees of similarity with respect to their species profile or assemblage. This study addresses this concern by applying weighting factors to the cluster elements used to calculate regional risk factors, thereby producing region-specific risk factors. Using a database of the global distribution of crop insect pest species, we found that we were able to produce highly differentiated region-specific risk factors for insect pests. We did this by weighting cluster elements by their Euclidean distance from the target region. Using this approach meant that risk weightings were derived that were more realistic, as they were specific to the pest profile or species assemblage of each region. This weighting method provides an improved tool for estimating the potential invasion risk posed by exotic species given that they have an opportunity to establish in a target region.http://www.iaees.org/publications/journals/ces/articles/2011-1(3)/Improving-cluster-based-methods.pdfdata clusteringk-means clusteringinvasive insect pestsregional species assemblages |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Michael J. Watts Susan P. Worner |
spellingShingle |
Michael J. Watts Susan P. Worner Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors Computational Ecology and Software data clustering k-means clustering invasive insect pests regional species assemblages |
author_facet |
Michael J. Watts Susan P. Worner |
author_sort |
Michael J. Watts |
title |
Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors |
title_short |
Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors |
title_full |
Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors |
title_fullStr |
Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors |
title_full_unstemmed |
Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors |
title_sort |
improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors |
publisher |
International Academy of Ecology and Environmental Sciences |
series |
Computational Ecology and Software |
issn |
2220-721X |
publishDate |
2011-09-01 |
description |
Existing cluster-based methods for investigating insect species assemblages or profiles of a region to indicate the risk of new insect pest invasion have a major limitation in that they assign the same species risk factors to each region in a cluster. Clearly regions assigned to the same cluster have different degrees of similarity with respect to their species profile or assemblage. This study addresses this concern by applying weighting factors to the cluster elements used to calculate regional risk factors, thereby producing region-specific risk factors. Using a database of the global distribution of crop insect pest species, we found that we were able to produce highly differentiated region-specific risk factors for insect pests. We did this by weighting cluster elements by their Euclidean distance from the target region. Using this approach meant that risk weightings were derived that were more realistic, as they were specific to the pest profile or species assemblage of each region. This weighting method provides an improved tool for estimating the potential invasion risk posed by exotic species given that they have an opportunity to establish in a target region. |
topic |
data clustering k-means clustering invasive insect pests regional species assemblages |
url |
http://www.iaees.org/publications/journals/ces/articles/2011-1(3)/Improving-cluster-based-methods.pdf |
work_keys_str_mv |
AT michaeljwatts improvingclusterbasedmethodsforinvestigatingpotentialforinsectpestspeciesestablishmentregionspecificriskfactors AT susanpworner improvingclusterbasedmethodsforinvestigatingpotentialforinsectpestspeciesestablishmentregionspecificriskfactors |
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