An Integrated, Tentative Remote‐Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science‐Based Management Policies
Changes in land use and land cover as well as feedback on the climate deeply affect the landscape worldwide. This phenomenon has also enlarged the human–wildlife interface and amplified the risk of potential new zoonoses. The expansion of the human settlement is supposed to affect the spread and dis...
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2022
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Online Access: | http://hdl.handle.net/2318/1855798 https://doi.org/10.3390/ani12081049 https://www.mdpi.com/2076-2615/12/8/1049/pdf?version=1650336087 |
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ftunivtorino:oai:iris.unito.it:2318/1855798 2023-10-09T21:50:39+02:00 An Integrated, Tentative Remote‐Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science‐Based Management Policies Carella E. Orusa T. Viani A. Meloni D. Borgogno-mondino E. Orusa R. Carella E. Orusa T. Viani A. Meloni D. Borgogno-mondino E. Orusa R. 2022 http://hdl.handle.net/2318/1855798 https://doi.org/10.3390/ani12081049 https://www.mdpi.com/2076-2615/12/8/1049/pdf?version=1650336087 eng eng info:eu-repo/semantics/altIdentifier/pmid/35454295 volume:12 issue:8 firstpage:1 lastpage:15 numberofpages:15 journal:ANIMALS http://hdl.handle.net/2318/1855798 doi:10.3390/ani12081049 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85128472130 https://www.mdpi.com/2076-2615/12/8/1049/pdf?version=1650336087 info:eu-repo/semantics/openAccess Aosta Valley region badger beech marten CDV GIS Google Earth Engine (GEE) NDVI entropy Orfeo Toolbox PCR red foxe remote sensing Sentinel‐2 wolves info:eu-repo/semantics/article 2022 ftunivtorino https://doi.org/10.3390/ani12081049 2023-09-19T22:36:56Z Changes in land use and land cover as well as feedback on the climate deeply affect the landscape worldwide. This phenomenon has also enlarged the human–wildlife interface and amplified the risk of potential new zoonoses. The expansion of the human settlement is supposed to affect the spread and distribution of wildlife diseases such as canine distemper virus (CDV), by shaping the distribution, density, and movements of wildlife. Nevertheless, there is very little evidence in the scientific literature on how remote sensing and GIS tools may help the veterinary sector to better monitor the spread of CDV in wildlife and to enforce ecological studies and new management policies in the near future. Thus, we perform a study in Northwestern Italy (Aosta Valley Autonomous Region), focusing on the relative epidemic waves of CDV that cause a virulent disease infecting different animal species with high host mortality. CDV has been detected in several mammalian from Canidae, Mustelidae, Procyonidae, Ursidae, and Viverridae families. In this study, the prevalence is determined at 60% in red fox (Vulpes vulpes, n = 296), 14% in wolf (Canis lupus, n = 157), 47% in badger (Meles meles, n = 103), and 51% in beech marten (Martes foina, n = 51). The detection of CDV is performed by means of real‐time PCR. All the analyses are done using the TaqMan approach, targeting the chromosomal gene for phosphoprotein, gene P, that is involved in the transcription and replication of the virus. By adopting Earth Observation Data, we notice that CDV trends are strongly related to an altitude gradient and NDVI entropy changes through the years. A tentative model is developed concerning the ground data collected in the Aosta Valley region. According to our preliminary study, entropy computed from remote‐sensing data can represent a valuable tool to monitor CDV spread as a proxy data predictor of the intensity of fragmentation of a given landscape and therefore also to monitor CDV. In conclusion, the evaluation from space of the landscape ... Article in Journal/Newspaper Canis lupus Università degli studi di Torino: AperTo (Archivio Istituzionale ad Accesso Aperto) Animals 12 8 1049 |
institution |
Open Polar |
collection |
Università degli studi di Torino: AperTo (Archivio Istituzionale ad Accesso Aperto) |
op_collection_id |
ftunivtorino |
language |
English |
topic |
Aosta Valley region badger beech marten CDV GIS Google Earth Engine (GEE) NDVI entropy Orfeo Toolbox PCR red foxe remote sensing Sentinel‐2 wolves |
spellingShingle |
Aosta Valley region badger beech marten CDV GIS Google Earth Engine (GEE) NDVI entropy Orfeo Toolbox PCR red foxe remote sensing Sentinel‐2 wolves Carella E. Orusa T. Viani A. Meloni D. Borgogno-mondino E. Orusa R. An Integrated, Tentative Remote‐Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science‐Based Management Policies |
topic_facet |
Aosta Valley region badger beech marten CDV GIS Google Earth Engine (GEE) NDVI entropy Orfeo Toolbox PCR red foxe remote sensing Sentinel‐2 wolves |
description |
Changes in land use and land cover as well as feedback on the climate deeply affect the landscape worldwide. This phenomenon has also enlarged the human–wildlife interface and amplified the risk of potential new zoonoses. The expansion of the human settlement is supposed to affect the spread and distribution of wildlife diseases such as canine distemper virus (CDV), by shaping the distribution, density, and movements of wildlife. Nevertheless, there is very little evidence in the scientific literature on how remote sensing and GIS tools may help the veterinary sector to better monitor the spread of CDV in wildlife and to enforce ecological studies and new management policies in the near future. Thus, we perform a study in Northwestern Italy (Aosta Valley Autonomous Region), focusing on the relative epidemic waves of CDV that cause a virulent disease infecting different animal species with high host mortality. CDV has been detected in several mammalian from Canidae, Mustelidae, Procyonidae, Ursidae, and Viverridae families. In this study, the prevalence is determined at 60% in red fox (Vulpes vulpes, n = 296), 14% in wolf (Canis lupus, n = 157), 47% in badger (Meles meles, n = 103), and 51% in beech marten (Martes foina, n = 51). The detection of CDV is performed by means of real‐time PCR. All the analyses are done using the TaqMan approach, targeting the chromosomal gene for phosphoprotein, gene P, that is involved in the transcription and replication of the virus. By adopting Earth Observation Data, we notice that CDV trends are strongly related to an altitude gradient and NDVI entropy changes through the years. A tentative model is developed concerning the ground data collected in the Aosta Valley region. According to our preliminary study, entropy computed from remote‐sensing data can represent a valuable tool to monitor CDV spread as a proxy data predictor of the intensity of fragmentation of a given landscape and therefore also to monitor CDV. In conclusion, the evaluation from space of the landscape ... |
author2 |
Carella E. Orusa T. Viani A. Meloni D. Borgogno-mondino E. Orusa R. |
format |
Article in Journal/Newspaper |
author |
Carella E. Orusa T. Viani A. Meloni D. Borgogno-mondino E. Orusa R. |
author_facet |
Carella E. Orusa T. Viani A. Meloni D. Borgogno-mondino E. Orusa R. |
author_sort |
Carella E. |
title |
An Integrated, Tentative Remote‐Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science‐Based Management Policies |
title_short |
An Integrated, Tentative Remote‐Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science‐Based Management Policies |
title_full |
An Integrated, Tentative Remote‐Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science‐Based Management Policies |
title_fullStr |
An Integrated, Tentative Remote‐Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science‐Based Management Policies |
title_full_unstemmed |
An Integrated, Tentative Remote‐Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science‐Based Management Policies |
title_sort |
integrated, tentative remote‐sensing approach based on ndvi entropy to model canine distemper virus in wildlife and to prompt science‐based management policies |
publishDate |
2022 |
url |
http://hdl.handle.net/2318/1855798 https://doi.org/10.3390/ani12081049 https://www.mdpi.com/2076-2615/12/8/1049/pdf?version=1650336087 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_relation |
info:eu-repo/semantics/altIdentifier/pmid/35454295 volume:12 issue:8 firstpage:1 lastpage:15 numberofpages:15 journal:ANIMALS http://hdl.handle.net/2318/1855798 doi:10.3390/ani12081049 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85128472130 https://www.mdpi.com/2076-2615/12/8/1049/pdf?version=1650336087 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/ani12081049 |
container_title |
Animals |
container_volume |
12 |
container_issue |
8 |
container_start_page |
1049 |
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1779313720538693632 |