Impacts of light use efficiency and fPAR parameterization on gross primary production modeling
• We utilized different approaches to derive LUE and fPAR and examined their capabilities for carbon modeling. • Both crops, maize and soybean, and deciduous forest were selected to study. • fAPARchl showed closer seasonal dynamics with GPP than MODIS MOD15A2 fPAR. • Estimated GPP using fAPARchl was...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cheng, Yen-Ben [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Hydrothermal synthesis of α-Fe2O3/g-C3N4 composite and its efficient photocatalytic reduction of Cr(VI) under visible light - Xiao, Dong ELSEVIER, 2015, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:189 ; year:2014 ; day:1 ; month:06 ; pages:187-197 ; extent:11 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.agrformet.2014.01.006 |
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Impacts of light use efficiency and fPAR parameterization on gross primary production modeling |
| abstract |
• We utilized different approaches to derive LUE and fPAR and examined their capabilities for carbon modeling. • Both crops, maize and soybean, and deciduous forest were selected to study. • fAPARchl showed closer seasonal dynamics with GPP than MODIS MOD15A2 fPAR. • Estimated GPP using fAPARchl was closer to flux tower based GPP. • Using a site-specific LUEmax value derived from an analytic approach can improve GPP estimates. |
| abstractGer |
• We utilized different approaches to derive LUE and fPAR and examined their capabilities for carbon modeling. • Both crops, maize and soybean, and deciduous forest were selected to study. • fAPARchl showed closer seasonal dynamics with GPP than MODIS MOD15A2 fPAR. • Estimated GPP using fAPARchl was closer to flux tower based GPP. • Using a site-specific LUEmax value derived from an analytic approach can improve GPP estimates. |
| abstract_unstemmed |
• We utilized different approaches to derive LUE and fPAR and examined their capabilities for carbon modeling. • Both crops, maize and soybean, and deciduous forest were selected to study. • fAPARchl showed closer seasonal dynamics with GPP than MODIS MOD15A2 fPAR. • Estimated GPP using fAPARchl was closer to flux tower based GPP. • Using a site-specific LUEmax value derived from an analytic approach can improve GPP estimates. |
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| title_short |
Impacts of light use efficiency and fPAR parameterization on gross primary production modeling |
| url |
https://doi.org/10.1016/j.agrformet.2014.01.006 |
| remote_bool |
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| author2 |
Zhang, Qingyuan Lyapustin, Alexei I. Wang, Yujie Middleton, Elizabeth M. |
| author2Str |
Zhang, Qingyuan Lyapustin, Alexei I. Wang, Yujie Middleton, Elizabeth M. |
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| doi_str |
10.1016/j.agrformet.2014.01.006 |
| up_date |
2024-07-06T20:07:02.851Z |
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