Spatio-temporal analysis of oak decline process in open woodlands: A case study in SW Spain.
Identifieur interne : 000384 ( Main/Exploration ); précédent : 000383; suivant : 000385Spatio-temporal analysis of oak decline process in open woodlands: A case study in SW Spain.
Auteurs : Jesús Fernández-Habas [Espagne] ; Pilar Fernández-Rebollo [Espagne] ; M Nica Rivas Casado [Royaume-Uni] ; Alma María García Moreno [Espagne] ; Bego A Abellanas [Espagne]Source :
- Journal of environmental management [ 1095-8630 ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- MESH :
- geographic : Spain.
- Ecosystem, Forests, Quercus, Spatio-Temporal Analysis.
Abstract
This study aims to characterize at landscape level the spatio-temporal dynamics of a massive oak decline that is occurring in dehesas ecosystems. We are looking at possibilities of matching with Phytophthora disease behavior, a harmful disease detected in the studied area, in order to interpret its implications within the context of the disease management. Spatial locations of affected trees from 2001, 2009 and 2016 identified through photointerpretation were analyzed with the inhomogeneous Ripley's K-function to assess their spatial pattern. Multivariate Adaptive Regression Splines (MARS), a non-parametric data mining method, was used to investigate the influence of a range of landscape descriptors of different nature on the proneness to oak decline, using the location of affected trees in comparison with that of healthy spots (points randomly extracted from areas covered by healthy trees). Affected trees showed a strong clustering pattern that decreased over time. The reported spatial patterns align with the hypothesis of Phytophthora cinnamomi Rands. being the main cause of oak decline in Mediterranean forests. Location of affected trees detected in different years was found to be spatially related, suggesting the implication of a contagion process. MARS models from 2001, 2009 and 2016 reported Area Under the Curve (AUC) values of 0.707, 0.671 and 0.651, respectively. Slope was the most influential landscape descriptor across the three years, with distance to afforestations being the second for 2001 and 2009. Landscape descriptors linked to human factors and soil water content seem to influence oak decline caused by Phytophthora cinnamomi at landscape level. Afforestations carried out as part of the afforestation subsidy program promoted by the European Commission in 1992 could have acted as an initial source of Phytophthora cinnamomi infection. These findings together with the consideration of the spatial and temporal scale of the spreading are essential when planning the management of oak decline in open woodlands.
DOI: 10.1016/j.jenvman.2019.109308
PubMed: 31466179
Affiliations:
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We are looking at possibilities of matching with Phytophthora disease behavior, a harmful disease detected in the studied area, in order to interpret its implications within the context of the disease management. Spatial locations of affected trees from 2001, 2009 and 2016 identified through photointerpretation were analyzed with the inhomogeneous Ripley's K-function to assess their spatial pattern. Multivariate Adaptive Regression Splines (MARS), a non-parametric data mining method, was used to investigate the influence of a range of landscape descriptors of different nature on the proneness to oak decline, using the location of affected trees in comparison with that of healthy spots (points randomly extracted from areas covered by healthy trees). Affected trees showed a strong clustering pattern that decreased over time. The reported spatial patterns align with the hypothesis of Phytophthora cinnamomi Rands. being the main cause of oak decline in Mediterranean forests. Location of affected trees detected in different years was found to be spatially related, suggesting the implication of a contagion process. MARS models from 2001, 2009 and 2016 reported Area Under the Curve (AUC) values of 0.707, 0.671 and 0.651, respectively. Slope was the most influential landscape descriptor across the three years, with distance to afforestations being the second for 2001 and 2009. Landscape descriptors linked to human factors and soil water content seem to influence oak decline caused by Phytophthora cinnamomi at landscape level. Afforestations carried out as part of the afforestation subsidy program promoted by the European Commission in 1992 could have acted as an initial source of Phytophthora cinnamomi infection. These findings together with the consideration of the spatial and temporal scale of the spreading are essential when planning the management of oak decline in open woodlands.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">31466179</PMID><DateCompleted><Year>2019</Year><Month>09</Month><Day>24</Day></DateCompleted><DateRevised><Year>2019</Year><Month>09</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1095-8630</ISSN><JournalIssue CitedMedium="Internet"><Volume>248</Volume><PubDate><Year>2019</Year><Month>Oct</Month><Day>15</Day></PubDate></JournalIssue><Title>Journal of environmental management</Title><ISOAbbreviation>J Environ Manage</ISOAbbreviation></Journal><ArticleTitle>Spatio-temporal analysis of oak decline process in open woodlands: A case study in SW Spain.</ArticleTitle><Pagination><MedlinePgn>109308</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0301-4797(19)31010-2</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jenvman.2019.109308</ELocationID><Abstract><AbstractText>This study aims to characterize at landscape level the spatio-temporal dynamics of a massive oak decline that is occurring in dehesas ecosystems. We are looking at possibilities of matching with Phytophthora disease behavior, a harmful disease detected in the studied area, in order to interpret its implications within the context of the disease management. Spatial locations of affected trees from 2001, 2009 and 2016 identified through photointerpretation were analyzed with the inhomogeneous Ripley's K-function to assess their spatial pattern. Multivariate Adaptive Regression Splines (MARS), a non-parametric data mining method, was used to investigate the influence of a range of landscape descriptors of different nature on the proneness to oak decline, using the location of affected trees in comparison with that of healthy spots (points randomly extracted from areas covered by healthy trees). Affected trees showed a strong clustering pattern that decreased over time. The reported spatial patterns align with the hypothesis of Phytophthora cinnamomi Rands. being the main cause of oak decline in Mediterranean forests. Location of affected trees detected in different years was found to be spatially related, suggesting the implication of a contagion process. MARS models from 2001, 2009 and 2016 reported Area Under the Curve (AUC) values of 0.707, 0.671 and 0.651, respectively. Slope was the most influential landscape descriptor across the three years, with distance to afforestations being the second for 2001 and 2009. Landscape descriptors linked to human factors and soil water content seem to influence oak decline caused by Phytophthora cinnamomi at landscape level. Afforestations carried out as part of the afforestation subsidy program promoted by the European Commission in 1992 could have acted as an initial source of Phytophthora cinnamomi infection. These findings together with the consideration of the spatial and temporal scale of the spreading are essential when planning the management of oak decline in open woodlands.</AbstractText><CopyrightInformation>Copyright © 2019 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fernández-Habas</LastName><ForeName>Jesús</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Universidad de Córdoba, Departamento de Ingeniería Forestal, Campus de Rabanales, E-14014, Córdoba, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fernández-Rebollo</LastName><ForeName>Pilar</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Universidad de Córdoba, Departamento de Ingeniería Forestal, Campus de Rabanales, E-14014, Córdoba, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Casado</LastName><ForeName>Mónica Rivas</ForeName><Initials>MR</Initials><AffiliationInfo><Affiliation>Department of Environmental Science and Technology, Cranfield University, Cranfield, MK43 0AL, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>García Moreno</LastName><ForeName>Alma María</ForeName><Initials>AM</Initials><AffiliationInfo><Affiliation>Universidad de Córdoba, Departamento de Ingeniería Forestal, Campus de Rabanales, E-14014, Córdoba, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Abellanas</LastName><ForeName>Begoña</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Universidad de Córdoba, Departamento de Ingeniería Forestal, Campus de Rabanales, E-14014, Córdoba, Spain. Electronic address: ir1aboab@uco.es.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>08</Month><Day>07</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>J Environ Manage</MedlineTA><NlmUniqueID>0401664</NlmUniqueID><ISSNLinking>0301-4797</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D017753" MajorTopicYN="N">Ecosystem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065928" MajorTopicYN="N">Forests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D029963" MajorTopicYN="Y">Quercus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D062211" MajorTopicYN="N">Spatio-Temporal Analysis</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Afforestation</Keyword><Keyword MajorTopicYN="N">Dehesa ecosystems</Keyword><Keyword MajorTopicYN="N">Disease spread</Keyword><Keyword MajorTopicYN="N">Inhomogeneous Ripley's K-Function</Keyword><Keyword MajorTopicYN="N">Multivariate adaptive regression splines</Keyword><Keyword MajorTopicYN="N">Phytophthora cinnamomi</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>01</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>07</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>07</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>8</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>8</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>9</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31466179</ArticleId><ArticleId IdType="pii">S0301-4797(19)31010-2</ArticleId><ArticleId IdType="doi">10.1016/j.jenvman.2019.109308</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li><li>Royaume-Uni</li></country></list><tree><country name="Espagne"><noRegion><name sortKey="Fernandez Habas, Jesus" sort="Fernandez Habas, Jesus" uniqKey="Fernandez Habas J" first="Jesús" last="Fernández-Habas">Jesús Fernández-Habas</name></noRegion><name sortKey="Abellanas, Bego A" sort="Abellanas, Bego A" uniqKey="Abellanas B" first="Bego A" last="Abellanas">Bego A Abellanas</name><name sortKey="Fernandez Rebollo, Pilar" sort="Fernandez Rebollo, Pilar" uniqKey="Fernandez Rebollo P" first="Pilar" last="Fernández-Rebollo">Pilar Fernández-Rebollo</name><name sortKey="Garcia Moreno, Alma Maria" sort="Garcia Moreno, Alma Maria" uniqKey="Garcia Moreno A" first="Alma María" last="García Moreno">Alma María García Moreno</name></country><country name="Royaume-Uni"><noRegion><name sortKey="Casado, M Nica Rivas" sort="Casado, M Nica Rivas" uniqKey="Casado M" first="M Nica Rivas" last="Casado">M Nica Rivas Casado</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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