<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T19:48:54Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/32894" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/32894</identifier><datestamp>2021-06-23T10:15:30Z</datestamp><setSpec>com_10324_1157</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1298</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Sánchez Gómez, María Luisa</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Pardo Gómez, Nuria</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Pérez Bartolomé, Isidro Alberto</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García Pérez, María Ángeles</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2018-11-23T12:00:14Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2018-11-23T12:00:14Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2015</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Agricultural and Forest Meteorology 214–215 2015 444–455</mods:identifier>
<mods:identifier type="issn">0168-1923</mods:identifier>
<mods:identifier type="uri">http://uvadoc.uva.es/handle/10324/32894</mods:identifier>
<mods:identifier type="doi">10.1016/j.jastp.2015.09.003</mods:identifier>
<mods:abstract>This paper presents: (a) results of gross primary production (GPP) 8-d estimated values using a lightuse efficiency model (LUE) in a non-irrigated rotating rapeseed crop in the upper Spanish plateau, and(b) inter-comparison results of observed GPP with those concurrently retrieved by MODIS. The rotation scheme over the four-year study comprised rapeseed, wheat, peas and rye. Rapeseed, peas and, in part, rye grew under well-watered conditions whereas wheat was dominated by drought.Input data for the LUE model were the fraction of PAR absorbed (FPAR) 8-d products supplied by MODIS(FPARMODIS), in situ photosynthetic active radiation (PAR) measurements and a scalar f varying between 0and 1, to take into account the reduction of the maximum PAR conversion efficiency (ε0LUE) under limiting environmental conditions. In this study, f values were assumed to be dependent on air temperature (T)and the evaporative fraction which was considered a proxy of water availability. ε0LUE, a key parameterin LUE models, which varied according to land use, was derived through the results of a linear regressionfit between observed GPP and concurrent GAPAR estimates defined as the product of PAR, FPARMODISandf. Overall, the LUE model provided satisfactory results, R2= 86.3%, significantly improving GPP MODIS estimates (GPPMODIS), R2= 71.8%. GPPMODIS uncertainties have primarily been attributed to differences inthe f stress factor involved in its formulation (fMODIS) depending on vapour pressure deficit and T which did not fully describe the environmental stress conditions at the measuring site.Overall, ε0LUE yielded 3.33 ± 0.10 g C MJ−1although this varied depending on crop architecture, phenology and prevailing meteorological conditions. Crop-to-crop ε0LUEranged from 2.74 ± 0.17 to3.95 ± 0.19 g C MJ−1for peas and rye, respectively, yielding intermediate values for rapeseed andwheat, 2.92 ± 0.18 and 2.86 ± 0.23 g C MJ−1, respectively. ε0MODIS, derived from the linear fit of GPPversus GPPMODISestimates, yielded 2.13 ± 0.10 g C MJ−1and crop-to-crop ranged from 1.28 ± 0.17 to2.41 ± 0.12 g C MJ−1for wheat and rapeseed, respectively. The best linear fits corresponded to crops grow-ing under well-watered conditions, rapeseed and peas, and the worst fits were for wheat, affected bydrought. GPP annuals were 1680, 710, 730 and 1410 g C m−2 for rapeseed, wheat, peas and rye, respectively.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/restrictedAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">ELSEVIER</mods:accessCondition>
<mods:titleInfo>
<mods:title>GPP and maximum light use efficiency estimates using different approaches over a rotating biodiesel crop</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>