Mostrar el registro sencillo del ítem
dc.contributor.author
Zhao, Yanchuang
dc.contributor.author
Guirado, Emilio
dc.contributor.author
Gaitán, Juan José
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Maestre, Fernando T.
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.date.available
2023-06-09T16:37:48Z
dc.date.issued
2021-09
dc.identifier.citation
Zhao, Yanchuang; Guirado, Emilio; Gaitán, Juan José; Maestre, Fernando T.; Aridity Thresholds Determine the Relationships between Ecosystem Functioning and Remotely Sensed Indicators Across Patagonia; Institute of Electrical and Electronics Engineers; Ieee Transactions On Geoscience And Remote Sensing; 60; 9-2021; 1-9
dc.identifier.issn
0196-2892
dc.identifier.uri
http://hdl.handle.net/11336/200113
dc.description.abstract
Emerging evidence suggests that ecosystem responses to increases in atmospheric aridity, a hallmark of climate change, exhibit multiple thresholds across global drylands. However, it is not clear whether aridity thresholds exist in the relationships between ecosystem functions and remotely sensed indicators (RSIs). Assessing this is important because these empirical relationships underpin the statistical models commonly used to estimate ecosystem functioning across large spatial scales, which typically uses data from RSI. We evaluated how the relationships between nutrient cycling index (NCI; a proxy of ecosystem functioning) measured in situ and RSI [albedo and normalized difference vegetation index (NDVI)] change along with a wide aridity (1 - [precipitation/potential evapotranspiration]) gradient in Patagonia (Argentina). For doing so, we used field-based NCI data from 235 ecosystems that were surveyed twice (2008-2013 and 2014-2018). Three aridity thresholds were identified when evaluating the RSI-NCI relationships. The first threshold was found around aridity values ranging from 0.44 to 0.60, while the second and third were concentrated around aridity values of 0.69 and 0.82, respectively. These results indicate that RSI-NCI relationships changed drastically along aridity gradients, and these thresholds should be considered when evaluating ecosystem functions using RSI. In addition, we also found that the relationships between NCI and albedos were not significant around aridity values of 0.82. These results were consistent across sampling dates. Our findings imply that empirical models of the RSI-NCI relationship employing only albedos/reflectance as inputs are not reliable under the most arid conditions and can be used to improve the effectiveness of the use of RSI to monitor and predict changes in ecosystem functioning across large environmental gradients in drylands.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ARIDITY THRESHOLD
dc.subject
ECOSYSTEM FUNCTION
dc.subject
NARROWBAND ALBEDO
dc.subject
REMOTE SENSING
dc.subject.classification
Sensores Remotos
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
Ingeniería del Medio Ambiente
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.title
Aridity Thresholds Determine the Relationships between Ecosystem Functioning and Remotely Sensed Indicators Across Patagonia
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-06-08T10:53:17Z
dc.journal.volume
60
dc.journal.pagination
1-9
dc.journal.pais
Estados Unidos
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.description.fil
Fil: Zhao, Yanchuang. Henan University Of Technology; China
dc.description.fil
Fil: Guirado, Emilio. Universidad de Alicante; España
dc.description.fil
Fil: Gaitán, Juan José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Suelos; Argentina. Universidad Nacional de Luján; Argentina
dc.description.fil
Fil: Maestre, Fernando T.. Universidad de Alicante; España
dc.journal.title
Ieee Transactions On Geoscience And Remote Sensing
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TGRS.2021.3113594
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9552518
Archivos asociados