A multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in Corsica
Landscape ecology is seldom used in epidemiology. The aim of this study is to assess the possible improvements that can be derived from the use of landscape approaches on several scales when exploring local differences in disease distribution, using bluetongue (BT) in Corsica as an example. The environment of BT-free and BT-infected sheep farms is described on a fine scale, using high resolution satellite images and a digital elevation model. Land-coverage is characterised by classifying the satellite image. Landscape metrics are calculated to quantify the number, diversity, length of edge and connectance of vegetation patches. The environment is described for three sizes of buffers around the farms. The models are tested with and without landscape metrics to see if such metrics improve the models. Internal and external validation of the models is performed and the relative impact of scale versus variables on the discriminatory ability of the models is explored. Results show that for all scales and irrespective of the number of parameters included, models with landscape metrics perform better than those without. The 1-km buffer model combines both the best scale of application and the best set of variables. It has a good discriminating ability and good sensitivity and specificity.
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Subjects: | L73 - Maladies des animaux, épidémiologie, fièvre catarrhale ovine, système d'information géographique, paysage, écologie animale, distribution spatiale, http://aims.fao.org/aos/agrovoc/c_2615, http://aims.fao.org/aos/agrovoc/c_976, http://aims.fao.org/aos/agrovoc/c_35131, http://aims.fao.org/aos/agrovoc/c_4185, http://aims.fao.org/aos/agrovoc/c_427, http://aims.fao.org/aos/agrovoc/c_36230, http://aims.fao.org/aos/agrovoc/c_1907, http://aims.fao.org/aos/agrovoc/c_3081, |
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dig-cirad-fr-5409692024-01-28T15:22:18Z http://agritrop.cirad.fr/540969/ http://agritrop.cirad.fr/540969/ A multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in Corsica. Guis Hélène, Tran Annelise, Mauny Frédéric, Baldet Thierry, Barragué Bruno, Gerbier Guillaume, Viel Jean-François, Roger François, De La Rocque Stéphane. 2007. Veterinaria Italiana, 43 (3) : 699-707. A multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in Corsica Guis, Hélène Tran, Annelise Mauny, Frédéric Baldet, Thierry Barragué, Bruno Gerbier, Guillaume Viel, Jean-François Roger, François De La Rocque, Stéphane eng 2007 Veterinaria Italiana L73 - Maladies des animaux épidémiologie fièvre catarrhale ovine système d'information géographique paysage écologie animale distribution spatiale http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_976 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_4185 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_36230 Corse France http://aims.fao.org/aos/agrovoc/c_1907 http://aims.fao.org/aos/agrovoc/c_3081 Landscape ecology is seldom used in epidemiology. The aim of this study is to assess the possible improvements that can be derived from the use of landscape approaches on several scales when exploring local differences in disease distribution, using bluetongue (BT) in Corsica as an example. The environment of BT-free and BT-infected sheep farms is described on a fine scale, using high resolution satellite images and a digital elevation model. Land-coverage is characterised by classifying the satellite image. Landscape metrics are calculated to quantify the number, diversity, length of edge and connectance of vegetation patches. The environment is described for three sizes of buffers around the farms. The models are tested with and without landscape metrics to see if such metrics improve the models. Internal and external validation of the models is performed and the relative impact of scale versus variables on the discriminatory ability of the models is explored. Results show that for all scales and irrespective of the number of parameters included, models with landscape metrics perform better than those without. The 1-km buffer model combines both the best scale of application and the best set of variables. It has a good discriminating ability and good sensitivity and specificity. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/540969/1/document_540969.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=197851 |
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L73 - Maladies des animaux épidémiologie fièvre catarrhale ovine système d'information géographique paysage écologie animale distribution spatiale http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_976 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_4185 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_1907 http://aims.fao.org/aos/agrovoc/c_3081 L73 - Maladies des animaux épidémiologie fièvre catarrhale ovine système d'information géographique paysage écologie animale distribution spatiale http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_976 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_4185 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_1907 http://aims.fao.org/aos/agrovoc/c_3081 |
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L73 - Maladies des animaux épidémiologie fièvre catarrhale ovine système d'information géographique paysage écologie animale distribution spatiale http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_976 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_4185 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_1907 http://aims.fao.org/aos/agrovoc/c_3081 L73 - Maladies des animaux épidémiologie fièvre catarrhale ovine système d'information géographique paysage écologie animale distribution spatiale http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_976 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_4185 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_1907 http://aims.fao.org/aos/agrovoc/c_3081 Guis, Hélène Tran, Annelise Mauny, Frédéric Baldet, Thierry Barragué, Bruno Gerbier, Guillaume Viel, Jean-François Roger, François De La Rocque, Stéphane A multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in Corsica |
description |
Landscape ecology is seldom used in epidemiology. The aim of this study is to assess the possible improvements that can be derived from the use of landscape approaches on several scales when exploring local differences in disease distribution, using bluetongue (BT) in Corsica as an example. The environment of BT-free and BT-infected sheep farms is described on a fine scale, using high resolution satellite images and a digital elevation model. Land-coverage is characterised by classifying the satellite image. Landscape metrics are calculated to quantify the number, diversity, length of edge and connectance of vegetation patches. The environment is described for three sizes of buffers around the farms. The models are tested with and without landscape metrics to see if such metrics improve the models. Internal and external validation of the models is performed and the relative impact of scale versus variables on the discriminatory ability of the models is explored. Results show that for all scales and irrespective of the number of parameters included, models with landscape metrics perform better than those without. The 1-km buffer model combines both the best scale of application and the best set of variables. It has a good discriminating ability and good sensitivity and specificity. |
format |
article |
topic_facet |
L73 - Maladies des animaux épidémiologie fièvre catarrhale ovine système d'information géographique paysage écologie animale distribution spatiale http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_976 http://aims.fao.org/aos/agrovoc/c_35131 http://aims.fao.org/aos/agrovoc/c_4185 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_1907 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Guis, Hélène Tran, Annelise Mauny, Frédéric Baldet, Thierry Barragué, Bruno Gerbier, Guillaume Viel, Jean-François Roger, François De La Rocque, Stéphane |
author_facet |
Guis, Hélène Tran, Annelise Mauny, Frédéric Baldet, Thierry Barragué, Bruno Gerbier, Guillaume Viel, Jean-François Roger, François De La Rocque, Stéphane |
author_sort |
Guis, Hélène |
title |
A multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in Corsica |
title_short |
A multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in Corsica |
title_full |
A multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in Corsica |
title_fullStr |
A multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in Corsica |
title_full_unstemmed |
A multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in Corsica |
title_sort |
multiple fine-scale satellite-derived landscape approach : example of bluetongue modelling in corsica |
url |
http://agritrop.cirad.fr/540969/ http://agritrop.cirad.fr/540969/1/document_540969.pdf |
work_keys_str_mv |
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