Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical Grasslands

Autores
Maidana, Carlos Emilio; Bendersky, Diego; Di Bella, Carlos Marcelo
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Accurate estimates of grassland aboveground net primary productivity (ANPP) are essential for forage management, yet remote sensing-based productivity models commonly assume that radiation use efficiency (RUE) is constant across vegetation types and years. This assumption may be particularly problematic in subtropical grasslands, where functionally contrasting plant communities coexist across heterogeneous edaphic and hydroclimatic conditions. We evaluated seasonal and interannual variation in RUE across three natural grassland communities in south-central Corrientes, Argentina, over a 10-year period (2007–2016): a C3-dominated fine-grass community (genus Aristida) on shallow acidic lithosols with low cation exchange capacity, a C4-dominated short-grass community (principally Paspalum notatum and allied species) on deep planosols with a sharp textural discontinuity between horizons, and a C4-dominated tall tussock community (principally Andropogon lateralis and allied species) on hydromorphic brunizems with poor internal drainage. ANPP was quantified using mobile exclusion cages and sequential harvests, while absorbed photosynthetically active radiation (APAR) was estimated from MODIS NDVI-derived fAPAR and meteorological radiation data. RUE differed markedly among communities, with the highest mean annual value in short-grass (0.885 ± 0.133 g DM MJ−1) and the lowest in fine-grass (0.576 ± 0.108 g DM MJ−1). Although all communities showed higher RUE during warm seasons, interannual variability and climatic sensitivity were markedly different among the three monitored communities. Fine-grass exhibited the greatest temporal variability and negative responses to both annual temperature and precipitation, whereas tall tussock maintained comparatively stable RUE across hydroclimatic conditions. Assuming a fixed RUE introduced substantial ANPP estimation errors, exceeding 20% and reaching more than 30% in some years. These findings show that RUE cannot be treated as a uniform parameter in subtropical grassland mosaics. Incorporating community-specific and temporally variable RUE values can improve productivity models, refine forage allowance assessments and support more reliable grazing management under increasing climatic variability.
EEA Mercedes
Fil: Maidana, Carlos Emilio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; Argentina
Fil: Maidana, Carlos Emilio. Universidad del Salvador. Campus Gobernador Virasoro. Facultad de Agronomía. Institute for Research in Agricultural and Veterinary Sciences; Argentina
Fil: Bendersky, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; Argentina
Fil: Di Bella, Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Di Bella, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Di Bella, Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fuente
Grass and Forage Science 81 (3) : e70080. (July-September 2026)
Materia
Praderas
Productividad Primaria Neta
Radiación Solar
Sistemas de Pastoreo
Forrajes
Grasslands
Net Primary Productivity
Solar Radiation
Grazing Systems
Forage
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/27640
Acceder
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oai_identifier_str oai:localhost:20.500.12123/27640
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network_name_str INTA Digital (INTA)
spelling Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical GrasslandsMaidana, Carlos EmilioBendersky, DiegoDi Bella, Carlos MarceloPraderasProductividad Primaria NetaRadiación SolarSistemas de PastoreoForrajesGrasslandsNet Primary ProductivitySolar RadiationGrazing SystemsForageAccurate estimates of grassland aboveground net primary productivity (ANPP) are essential for forage management, yet remote sensing-based productivity models commonly assume that radiation use efficiency (RUE) is constant across vegetation types and years. This assumption may be particularly problematic in subtropical grasslands, where functionally contrasting plant communities coexist across heterogeneous edaphic and hydroclimatic conditions. We evaluated seasonal and interannual variation in RUE across three natural grassland communities in south-central Corrientes, Argentina, over a 10-year period (2007–2016): a C3-dominated fine-grass community (genus Aristida) on shallow acidic lithosols with low cation exchange capacity, a C4-dominated short-grass community (principally Paspalum notatum and allied species) on deep planosols with a sharp textural discontinuity between horizons, and a C4-dominated tall tussock community (principally Andropogon lateralis and allied species) on hydromorphic brunizems with poor internal drainage. ANPP was quantified using mobile exclusion cages and sequential harvests, while absorbed photosynthetically active radiation (APAR) was estimated from MODIS NDVI-derived fAPAR and meteorological radiation data. RUE differed markedly among communities, with the highest mean annual value in short-grass (0.885 ± 0.133 g DM MJ−1) and the lowest in fine-grass (0.576 ± 0.108 g DM MJ−1). Although all communities showed higher RUE during warm seasons, interannual variability and climatic sensitivity were markedly different among the three monitored communities. Fine-grass exhibited the greatest temporal variability and negative responses to both annual temperature and precipitation, whereas tall tussock maintained comparatively stable RUE across hydroclimatic conditions. Assuming a fixed RUE introduced substantial ANPP estimation errors, exceeding 20% and reaching more than 30% in some years. These findings show that RUE cannot be treated as a uniform parameter in subtropical grassland mosaics. Incorporating community-specific and temporally variable RUE values can improve productivity models, refine forage allowance assessments and support more reliable grazing management under increasing climatic variability.EEA MercedesFil: Maidana, Carlos Emilio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; ArgentinaFil: Maidana, Carlos Emilio. Universidad del Salvador. Campus Gobernador Virasoro. Facultad de Agronomía. Institute for Research in Agricultural and Veterinary Sciences; ArgentinaFil: Bendersky, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; ArgentinaFil: Di Bella, Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Di Bella, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Di Bella, Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; ArgentinaWiley2026-09-03T11:24:12Z2026-09-03T11:24:12Z2026-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/27640https://onlinelibrary.wiley.com/doi/10.1111/gfs.700800142-52421365-2494https://doi.org/10.1111/gfs.70080Grass and Forage Science 81 (3) : e70080. (July-September 2026)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-10-01T10:25:46Zoai:localhost:20.500.12123/27640instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-10-01 10:25:47.158INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical Grasslands
title Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical Grasslands
spellingShingle Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical Grasslands
Maidana, Carlos Emilio
Praderas
Productividad Primaria Neta
Radiación Solar
Sistemas de Pastoreo
Forrajes
Grasslands
Net Primary Productivity
Solar Radiation
Grazing Systems
Forage
title_short Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical Grasslands
title_full Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical Grasslands
title_fullStr Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical Grasslands
title_full_unstemmed Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical Grasslands
title_sort Community-Specific Radiation Use Efficiency Improves Productivity Estimates in Subtropical Grasslands
dc.creator.none.fl_str_mv Maidana, Carlos Emilio
Bendersky, Diego
Di Bella, Carlos Marcelo
author Maidana, Carlos Emilio
author_facet Maidana, Carlos Emilio
Bendersky, Diego
Di Bella, Carlos Marcelo
author_role author
author2 Bendersky, Diego
Di Bella, Carlos Marcelo
author2_role author
author
dc.subject.none.fl_str_mv Praderas
Productividad Primaria Neta
Radiación Solar
Sistemas de Pastoreo
Forrajes
Grasslands
Net Primary Productivity
Solar Radiation
Grazing Systems
Forage
topic Praderas
Productividad Primaria Neta
Radiación Solar
Sistemas de Pastoreo
Forrajes
Grasslands
Net Primary Productivity
Solar Radiation
Grazing Systems
Forage
dc.description.none.fl_txt_mv Accurate estimates of grassland aboveground net primary productivity (ANPP) are essential for forage management, yet remote sensing-based productivity models commonly assume that radiation use efficiency (RUE) is constant across vegetation types and years. This assumption may be particularly problematic in subtropical grasslands, where functionally contrasting plant communities coexist across heterogeneous edaphic and hydroclimatic conditions. We evaluated seasonal and interannual variation in RUE across three natural grassland communities in south-central Corrientes, Argentina, over a 10-year period (2007–2016): a C3-dominated fine-grass community (genus Aristida) on shallow acidic lithosols with low cation exchange capacity, a C4-dominated short-grass community (principally Paspalum notatum and allied species) on deep planosols with a sharp textural discontinuity between horizons, and a C4-dominated tall tussock community (principally Andropogon lateralis and allied species) on hydromorphic brunizems with poor internal drainage. ANPP was quantified using mobile exclusion cages and sequential harvests, while absorbed photosynthetically active radiation (APAR) was estimated from MODIS NDVI-derived fAPAR and meteorological radiation data. RUE differed markedly among communities, with the highest mean annual value in short-grass (0.885 ± 0.133 g DM MJ−1) and the lowest in fine-grass (0.576 ± 0.108 g DM MJ−1). Although all communities showed higher RUE during warm seasons, interannual variability and climatic sensitivity were markedly different among the three monitored communities. Fine-grass exhibited the greatest temporal variability and negative responses to both annual temperature and precipitation, whereas tall tussock maintained comparatively stable RUE across hydroclimatic conditions. Assuming a fixed RUE introduced substantial ANPP estimation errors, exceeding 20% and reaching more than 30% in some years. These findings show that RUE cannot be treated as a uniform parameter in subtropical grassland mosaics. Incorporating community-specific and temporally variable RUE values can improve productivity models, refine forage allowance assessments and support more reliable grazing management under increasing climatic variability.
EEA Mercedes
Fil: Maidana, Carlos Emilio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; Argentina
Fil: Maidana, Carlos Emilio. Universidad del Salvador. Campus Gobernador Virasoro. Facultad de Agronomía. Institute for Research in Agricultural and Veterinary Sciences; Argentina
Fil: Bendersky, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; Argentina
Fil: Di Bella, Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Di Bella, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Di Bella, Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
description Accurate estimates of grassland aboveground net primary productivity (ANPP) are essential for forage management, yet remote sensing-based productivity models commonly assume that radiation use efficiency (RUE) is constant across vegetation types and years. This assumption may be particularly problematic in subtropical grasslands, where functionally contrasting plant communities coexist across heterogeneous edaphic and hydroclimatic conditions. We evaluated seasonal and interannual variation in RUE across three natural grassland communities in south-central Corrientes, Argentina, over a 10-year period (2007–2016): a C3-dominated fine-grass community (genus Aristida) on shallow acidic lithosols with low cation exchange capacity, a C4-dominated short-grass community (principally Paspalum notatum and allied species) on deep planosols with a sharp textural discontinuity between horizons, and a C4-dominated tall tussock community (principally Andropogon lateralis and allied species) on hydromorphic brunizems with poor internal drainage. ANPP was quantified using mobile exclusion cages and sequential harvests, while absorbed photosynthetically active radiation (APAR) was estimated from MODIS NDVI-derived fAPAR and meteorological radiation data. RUE differed markedly among communities, with the highest mean annual value in short-grass (0.885 ± 0.133 g DM MJ−1) and the lowest in fine-grass (0.576 ± 0.108 g DM MJ−1). Although all communities showed higher RUE during warm seasons, interannual variability and climatic sensitivity were markedly different among the three monitored communities. Fine-grass exhibited the greatest temporal variability and negative responses to both annual temperature and precipitation, whereas tall tussock maintained comparatively stable RUE across hydroclimatic conditions. Assuming a fixed RUE introduced substantial ANPP estimation errors, exceeding 20% and reaching more than 30% in some years. These findings show that RUE cannot be treated as a uniform parameter in subtropical grassland mosaics. Incorporating community-specific and temporally variable RUE values can improve productivity models, refine forage allowance assessments and support more reliable grazing management under increasing climatic variability.
publishDate 2026
dc.date.none.fl_str_mv 2026-09-03T11:24:12Z
2026-09-03T11:24:12Z
2026-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/27640
https://onlinelibrary.wiley.com/doi/10.1111/gfs.70080
0142-5242
1365-2494
https://doi.org/10.1111/gfs.70080
url http://hdl.handle.net/20.500.12123/27640
https://onlinelibrary.wiley.com/doi/10.1111/gfs.70080
https://doi.org/10.1111/gfs.70080
identifier_str_mv 0142-5242
1365-2494
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Grass and Forage Science 81 (3) : e70080. (July-September 2026)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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