Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens
Biocrusts, topsoil communities formed by mosses, lichens, liverworts, algae, and cyanobacteria, are a key biotic component of dryland ecosystems worldwide. Experiments carried out with lichen- and moss-dominated biocrusts indicate that climate change may dramatically reduce their cover and diversity...
| Autores: | , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:223499 |
| Acceso en línea: | https://ddd.uab.cat/record/223499 https://dx.doi.org/urn:doi:10.3390/rs11242942 |
| Access Level: | acceso abierto |
| Palabra clave: | Biocrusts Biological soil crust Spectral diversity Chlorophyll Continuum removal Biodiversity α-diversity Remote sensing Support vector machine |
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Spectral diversity successfully estimates the α-diversity of biocrust-forming lichensBlanco-Sacristán, Javier|||0000-0003-1244-5704Panigada, Cinzia|||0000-0002-3745-8037Tagliabue, GiuliaGentili, RodolfoColombo, RobertoLadrón de Guevara, MónicaMaestre, Fernando T.|||0000-0002-7434-4856Rossini, Micol|||0000-0002-6052-3140BiocrustsBiological soil crustSpectral diversityChlorophyllContinuum removalBiodiversityα-diversityRemote sensingSupport vector machineBiocrusts, topsoil communities formed by mosses, lichens, liverworts, algae, and cyanobacteria, are a key biotic component of dryland ecosystems worldwide. Experiments carried out with lichen- and moss-dominated biocrusts indicate that climate change may dramatically reduce their cover and diversity. Therefore, the development of reproducible methods to monitor changes in biocrust diversity and abundance across multiple spatio-temporal scales is key for evaluating how climate change may impact biocrust communities and the myriad of ecosystem functions and services that rely on them. In this study, we collected lichen-dominated biocrust samples from a semi-arid ecosystem in central Spain. Their α-diversity was then evaluated using very high spatial resolution hyperspectral images (pixel size of 0.091 mm) measured in laboratory under controlled conditions. Support vector machines were used to map the biocrust composition. Traditional α-diversity metrics (i.e., species richness, Shannon's, Simpson's, and Pielou's indices) were calculated using lichen fractional cover data derived from their classifications in the hyperspectral imagery. Spectral diversity was calculated at different wavelength ranges as the coefficient of variation of different regions of the reflectance spectra of lichens and as the standard deviation of the continuum removal algorithm (SD_CR). The accuracy of the classifications of the images obtained was close to 100%. The results showed the best coefficient of determination (r2 = 0.47) between SD_CR calculated at 680 nm and the α-diversity calculated as the Simpson's index, which includes species richness and their evenness. These findings indicate that this spectral diversity index could be used to track spatio-temporal changes in lichen-dominated biocrust communities. Thus, they are the first step to monitor α-diversity of biocrust-forming lichens at the ecosystem and regional levels, a key task for any program aiming to evaluate changes in biodiversity and associated ecosystem services in drylands. 22019-01-0120192019-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/223499https://dx.doi.org/urn:doi:10.3390/rs11242942reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengEuropean Commission https://doi.org/10.13039/501100000780 721995European Commission https://doi.org/10.13039/501100000780 647038open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2234992026-06-06T12:50:31Z |
| dc.title.none.fl_str_mv |
Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens |
| title |
Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens |
| spellingShingle |
Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens Blanco-Sacristán, Javier|||0000-0003-1244-5704 Biocrusts Biological soil crust Spectral diversity Chlorophyll Continuum removal Biodiversity α-diversity Remote sensing Support vector machine |
| title_short |
Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens |
| title_full |
Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens |
| title_fullStr |
Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens |
| title_full_unstemmed |
Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens |
| title_sort |
Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens |
| dc.creator.none.fl_str_mv |
Blanco-Sacristán, Javier|||0000-0003-1244-5704 Panigada, Cinzia|||0000-0002-3745-8037 Tagliabue, Giulia Gentili, Rodolfo Colombo, Roberto Ladrón de Guevara, Mónica Maestre, Fernando T.|||0000-0002-7434-4856 Rossini, Micol|||0000-0002-6052-3140 |
| author |
Blanco-Sacristán, Javier|||0000-0003-1244-5704 |
| author_facet |
Blanco-Sacristán, Javier|||0000-0003-1244-5704 Panigada, Cinzia|||0000-0002-3745-8037 Tagliabue, Giulia Gentili, Rodolfo Colombo, Roberto Ladrón de Guevara, Mónica Maestre, Fernando T.|||0000-0002-7434-4856 Rossini, Micol|||0000-0002-6052-3140 |
| author_role |
author |
| author2 |
Panigada, Cinzia|||0000-0002-3745-8037 Tagliabue, Giulia Gentili, Rodolfo Colombo, Roberto Ladrón de Guevara, Mónica Maestre, Fernando T.|||0000-0002-7434-4856 Rossini, Micol|||0000-0002-6052-3140 |
| author2_role |
author author author author author author author |
| dc.subject.none.fl_str_mv |
Biocrusts Biological soil crust Spectral diversity Chlorophyll Continuum removal Biodiversity α-diversity Remote sensing Support vector machine |
| topic |
Biocrusts Biological soil crust Spectral diversity Chlorophyll Continuum removal Biodiversity α-diversity Remote sensing Support vector machine |
| description |
Biocrusts, topsoil communities formed by mosses, lichens, liverworts, algae, and cyanobacteria, are a key biotic component of dryland ecosystems worldwide. Experiments carried out with lichen- and moss-dominated biocrusts indicate that climate change may dramatically reduce their cover and diversity. Therefore, the development of reproducible methods to monitor changes in biocrust diversity and abundance across multiple spatio-temporal scales is key for evaluating how climate change may impact biocrust communities and the myriad of ecosystem functions and services that rely on them. In this study, we collected lichen-dominated biocrust samples from a semi-arid ecosystem in central Spain. Their α-diversity was then evaluated using very high spatial resolution hyperspectral images (pixel size of 0.091 mm) measured in laboratory under controlled conditions. Support vector machines were used to map the biocrust composition. Traditional α-diversity metrics (i.e., species richness, Shannon's, Simpson's, and Pielou's indices) were calculated using lichen fractional cover data derived from their classifications in the hyperspectral imagery. Spectral diversity was calculated at different wavelength ranges as the coefficient of variation of different regions of the reflectance spectra of lichens and as the standard deviation of the continuum removal algorithm (SD_CR). The accuracy of the classifications of the images obtained was close to 100%. The results showed the best coefficient of determination (r2 = 0.47) between SD_CR calculated at 680 nm and the α-diversity calculated as the Simpson's index, which includes species richness and their evenness. These findings indicate that this spectral diversity index could be used to track spatio-temporal changes in lichen-dominated biocrust communities. Thus, they are the first step to monitor α-diversity of biocrust-forming lichens at the ecosystem and regional levels, a key task for any program aiming to evaluate changes in biodiversity and associated ecosystem services in drylands. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2 2019-01-01 2019 2019-01-01 |
| dc.type.none.fl_str_mv |
Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://ddd.uab.cat/record/223499 https://dx.doi.org/urn:doi:10.3390/rs11242942 |
| url |
https://ddd.uab.cat/record/223499 https://dx.doi.org/urn:doi:10.3390/rs11242942 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
European Commission https://doi.org/10.13039/501100000780 721995 European Commission https://doi.org/10.13039/501100000780 647038 |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
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reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
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