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dc.contributor.author
Campos, Valeria Evelin
dc.contributor.author
Cappa, Flavio Martín
dc.contributor.author
Fernandez Maldonado, Viviana Noemi
dc.contributor.author
Giannoni, Stella Maris
dc.date.available
2018-05-28T15:57:48Z
dc.date.issued
2016-01
dc.identifier.citation
Campos, Valeria Evelin; Cappa, Flavio Martín; Fernandez Maldonado, Viviana Noemi; Giannoni, Stella Maris; Using remotely sensed data to model suitable habitats for tree species in a desert environment; Wiley Blackwell Publishing, Inc; Journal of Vegetation Science; 27; 1; 1-2016; 200-210
dc.identifier.issn
1100-9233
dc.identifier.uri
http://hdl.handle.net/11336/46260
dc.description.abstract
Questions: Can the species ? environment relationship be understood using cur-rent remote sensing techniques? Can the derived indicators of remotely senseddata serve as a proxy for variables that affect habitat suitability of plant species?Which remote sensing predictors are best associated with woody species occur-rence in a desert environment? How well do models with derived indicators ofremotely sensed data predict the occurrence of these species? What are thepotential distributions of Ramorinoa girolae, Prosopis spp. and Bulnesia retama inthe study area?Location: Ischigualasto Provincial Park, San Juan province, Argentina.Methods: We selected random field points from a Landsat 8 OLI to determinepresence/absence of trees species. We calculated Brightness index (BI) using thesame image and used this index to calculate texture measures on a 3 9 3 mov-ing window size. We used the following subset of texture measures: (1) first-order: range, (2) second-order: mean, variance, contrast, entropy, secondmoment and correlation. We also calculated Topographic Wetness Index (TWI),slope angle and slope aspect from Global Digital Elevation Model.Results and Conclusion: Second-order mean of BI had an important effect onthe occurrence of target trees species. TWI was an important variable for Prosopisspp. and B. retama, whereas slope angle was important for R. girolae and B. re-tama. In addition, the occurrence of R. girolae was affected by second-order vari-ance of BI and slope aspect; and the presence of B. retama was affected bysecond-order contrast of BI. All the variables that had important effects on theoccurrence of tree species provide environmental information about their differ-ent habitat requirements; therefore, our findings indicate that the remote sens-ing data are reliable to derive indicators of tree species presence in our studyarea.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley Blackwell Publishing, Inc
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Brightness Index
dc.subject
Conservation
dc.subject
Desert Environment
dc.subject
Global Digital Elevation Model
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Habitat Generalist
dc.subject
Habitat Specialist
dc.subject
Plant Habitat Suitability
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Remote Sensing Data
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Texture Measures
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Woodlands
dc.subject.classification
Otras Ciencias Biológicas
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Using remotely sensed data to model suitable habitats for tree species in a desert environment
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-05-28T14:51:42Z
dc.journal.volume
27
dc.journal.number
1
dc.journal.pagination
200-210
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Campos, Valeria Evelin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina. Interacciones Biológicas del Desierto; Argentina
dc.description.fil
Fil: Cappa, Flavio Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina. Interacciones Biológicas del Desierto; Argentina
dc.description.fil
Fil: Fernandez Maldonado, Viviana Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina. Interacciones Biológicas del Desierto; Argentina
dc.description.fil
Fil: Giannoni, Stella Maris. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina. Interacciones Biológicas del Desierto; Argentina
dc.journal.title
Journal of Vegetation Science
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1111/jvs.12328
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/jvs.12328


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