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| 1. |  | SOUZA CONGIO, G. F. DE; BANNINK, A.; MAYORGA, MOGOLLÓN, O. L.; NICOLOV HRISTOV, A.; JAURENA, G.; GONDA, H.; GERE, J. I.; CERÓN-CUCCHI, M.E.; ORTIZ-CHURA, A.; TIERI, M.P.; HERNÁNDEZ, O.; RICCI, P.; JULIARENA, M.P.; LOMBARDI, B.; ABDALLA, A.L.; ABDALLA-FILHO, A.L.; BERNDT, A.; ANCHAO OLIVEIRA, P. P.; HENRIQUE, F. L.; GOMEZ MONTEIRO, A.L.; BORGES, L. I.; RIBEIRO-FILHO, H.M.N.; RIBEIRO PEREIRA, L.G.; RIBEIRO TOMICH, T.; MAGALHAES CAMPOS, M.; SAMARINI MACHADO, F.; MARCONDES, M. I.; ZERLOTTI MERCADANTE, M. E.; SANNOMIYA SAKAMOTO, L.; GALVAO ALBUQUERQUE, L.; FACCIO CARVALHO, P. C. DE; ROSSETTO, J.; SAVIAN, J.V.; MAZZA RODRIGUES, P. H.; PERNA JÚNIOR, F.; MOREIRA, T.S.; MAURÍCIO, R. M.; PACHECO RODRIGUES, J.P.; CRUZ BORGES, A.L. DA C.; REIS E SILVA, R.; FERREIRA LAGE, H.; ANDRADE REIS, R.; RUGGIERI, A.C.; CARDOSO, A. DA SILVA; SILVA, S. CARNEIRO DA; BARBOSA CHIAVEGATO, M.; VALADARES-FILHO, S. DE CAMPOS; SILVA, F. A. DE SALES; ZANETTI, D.; BERCHIELLI, T.T.; DUARTE MESSANA, J.; MUÑOZ, C.; ARIZA-NIETO, C.J.; SIERRA-ALARCÓN, L.I.; GUALDRÓN-DUARTE, L.B.; MESTRA-VARGAS, L.I.; MOLINA-BOTERO, I. C.; BARAHONA-ROSALES, R.; ARANGO, J.; GAVIRIA-URIBE, X.; GIRALDO VALDERRAMA, L.A.; ROSERO-NOGUERA, J.R.; POSADA-OCHOA, S.L.; ABARCA-MONGE, SERGIO; SOTO-BLANCO, R.; KU-VERA, J.C.; JIMÉNEZ-OCAMPO, R.; FLORES-SANTIAGO, E. DEL J.; CASTELÁN-ORTEGA, O.A.; VÁZQUEZ-CARRILLO, M.F.; BENAOUDA, M.; GÓMEZ-BRAVO, C. A.; ALVARADO BOLOVICH, V.I.; DÍAZ CÉSPEDES, M.A.; ASTIGARRAGA, L. Enteric methane mitigation strategies for ruminant livestock systems in the Latin America and Caribbean region: a meta-analysis. Journal of Cleaner Production. 2021. v. 312, art. 127693, 13 p. Doi: https://doi.org/10.1016/j.jclepro.2021.127693 Article history: Receiived 22 December 2020; Received in revised form 24 April 2021; Accepted 25 May 2021. Available online 30 May 2021.
Latin America Methane Project Collaborators está integrada por 71 investigadores en este artículo.| Biblioteca(s): INIA Treinta y Tres. |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
18/04/2022 |
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Actualizado : |
18/04/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
BLANCO, L. J.; PARUELO, J.; OESTERHELD, M.; AGÜERO, W. D. |
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Afiliación : |
LISANDRO JAVIER BLANCO, 1Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experiemental Agropecuaria (EEA) La Rioja, Chamical, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; MARTÍN OESTERHELD, Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; WALTER DAMIÁN AGÜERO, 1Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experiemental Agropecuaria (EEA) La Rioja, Chamical, Argentina. |
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Título : |
Radiation use efficiency of the herbaceous layer of dry Chaco shrublands and woodlands: spatial and temporal patterns. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Applied Vegetation Science, 2022, volume 25, article e12653. Doi: https://doi.org/10.1111/avsc.12653 |
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DOI : |
10.1111/avsc.12653 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 30 July 2020 // Revised: 1 February 2022 // Accepted: 24 February 2022.
Correspondence: Lisandro Blanco, blanco.lisandro@inta.gob.ar |
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Contenido : |
Aims: Monitoring rangeland above-ground net primary production (ANPP) requires information on the variation of radiation use efficiency (RUE). We studied the spatial
and temporal variations of RUE of the herbaceous layer (RUEH) in woodlands and shrublands and its association with grazing regime, environmental, and vegetation
variables.
Location: We worked in the Arid Chaco (Argentina), an ecotone region between the Chaco and Monte phytogeographic provinces. Woody and herbaceous species coexist in variable proportions in relation to a regional precipitation gradient and local edaphic variations.
Methods and results: Over eight growing seasons, we estimated RUEH at 12 sites, each with two contrasting grazing regimes (moderate and severe). To do this, we related estimated ANPPH from biomass harvests and APARH (absorbed photosynthetically active radiation of the herbaceous layer) calculated from the MODIS normalized difference vegetation index (NDVI). Then we linked the RUEH with precipitation, physiognomy, soil, and landscape data. Most of the spatial variability of RUEH was accounted for by the grazing regime. Moderately grazed areas had a three times greater RUEH than severely grazed ones (0.507 and 0.180 g MJ−1 respectively). They also exhibited different proportions of herbaceous functional types. Physiognomic characteristics of the woody layer explained a significant proportion of the spatial variation of RUEH not explained by grazing regime. RUEH was between 30 and 150% greater in woodlands than in shrublands depending on whether the sites were under moderate or severe grazing respectively.
Conclusion: Grazing regime and woody physiognomy accounted for most of the variation in herbaceous radiation use efficiency. Our results show that RUEH may be predicted with greater accuracy from a combination of vegetation maps and information on grazing regime. Thus, our models could be incorporated into web platforms that provide ANPPH (forage) monitoring services based on satellite data, in order to improve their estimates in woodlands, shrublands and savanna ecosystems. MenosAims: Monitoring rangeland above-ground net primary production (ANPP) requires information on the variation of radiation use efficiency (RUE). We studied the spatial
and temporal variations of RUE of the herbaceous layer (RUEH) in woodlands and shrublands and its association with grazing regime, environmental, and vegetation
variables.
Location: We worked in the Arid Chaco (Argentina), an ecotone region between the Chaco and Monte phytogeographic provinces. Woody and herbaceous species coexist in variable proportions in relation to a regional precipitation gradient and local edaphic variations.
Methods and results: Over eight growing seasons, we estimated RUEH at 12 sites, each with two contrasting grazing regimes (moderate and severe). To do this, we related estimated ANPPH from biomass harvests and APARH (absorbed photosynthetically active radiation of the herbaceous layer) calculated from the MODIS normalized difference vegetation index (NDVI). Then we linked the RUEH with precipitation, physiognomy, soil, and landscape data. Most of the spatial variability of RUEH was accounted for by the grazing regime. Moderately grazed areas had a three times greater RUEH than severely grazed ones (0.507 and 0.180 g MJ−1 respectively). They also exhibited different proportions of herbaceous functional types. Physiognomic characteristics of the woody layer explained a significant proportion of the spatial variation of RUEH not explained by grazing regime. RUEH was between 30 and ... Presentar Todo |
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Palabras claves : |
ARGENTINA; ARIDITY; CHACO; GRASS FORAGE; GRAZING; NDVI (ÍNDICE DE VEGETACIÓN DE DIFERENCIA NORMALIZADA); PRIMARY PRODUCTION; REMOTE SENSING; SATELLITE MONITORING; WOODY ECOSYSTEM. |
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Asunto categoría : |
F62 Fisiología de la planta - Crecimiento y desarrollo |
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Marc : |
LEADER 03209naa a2200301 a 4500
001 1063053
005 2022-04-18
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1111/avsc.12653$2DOI
100 1 $aBLANCO, L. J.
245 $aRadiation use efficiency of the herbaceous layer of dry Chaco shrublands and woodlands$bspatial and temporal patterns.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 30 July 2020 // Revised: 1 February 2022 // Accepted: 24 February 2022. Correspondence: Lisandro Blanco, blanco.lisandro@inta.gob.ar
520 $aAims: Monitoring rangeland above-ground net primary production (ANPP) requires information on the variation of radiation use efficiency (RUE). We studied the spatial and temporal variations of RUE of the herbaceous layer (RUEH) in woodlands and shrublands and its association with grazing regime, environmental, and vegetation variables. Location: We worked in the Arid Chaco (Argentina), an ecotone region between the Chaco and Monte phytogeographic provinces. Woody and herbaceous species coexist in variable proportions in relation to a regional precipitation gradient and local edaphic variations. Methods and results: Over eight growing seasons, we estimated RUEH at 12 sites, each with two contrasting grazing regimes (moderate and severe). To do this, we related estimated ANPPH from biomass harvests and APARH (absorbed photosynthetically active radiation of the herbaceous layer) calculated from the MODIS normalized difference vegetation index (NDVI). Then we linked the RUEH with precipitation, physiognomy, soil, and landscape data. Most of the spatial variability of RUEH was accounted for by the grazing regime. Moderately grazed areas had a three times greater RUEH than severely grazed ones (0.507 and 0.180 g MJ−1 respectively). They also exhibited different proportions of herbaceous functional types. Physiognomic characteristics of the woody layer explained a significant proportion of the spatial variation of RUEH not explained by grazing regime. RUEH was between 30 and 150% greater in woodlands than in shrublands depending on whether the sites were under moderate or severe grazing respectively. Conclusion: Grazing regime and woody physiognomy accounted for most of the variation in herbaceous radiation use efficiency. Our results show that RUEH may be predicted with greater accuracy from a combination of vegetation maps and information on grazing regime. Thus, our models could be incorporated into web platforms that provide ANPPH (forage) monitoring services based on satellite data, in order to improve their estimates in woodlands, shrublands and savanna ecosystems.
653 $aARGENTINA
653 $aARIDITY
653 $aCHACO
653 $aGRASS FORAGE
653 $aGRAZING
653 $aNDVI (ÍNDICE DE VEGETACIÓN DE DIFERENCIA NORMALIZADA)
653 $aPRIMARY PRODUCTION
653 $aREMOTE SENSING
653 $aSATELLITE MONITORING
653 $aWOODY ECOSYSTEM
700 1 $aPARUELO, J.
700 1 $aOESTERHELD, M.
700 1 $aAGÜERO, W. D.
773 $tApplied Vegetation Science, 2022, volume 25, article e12653. Doi: https://doi.org/10.1111/avsc.12653
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