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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
06/07/2021 |
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Actualizado : |
08/07/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
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. |
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Afiliación : |
GUILHERMO FRANCKLIN DE SOUZA CONGIO, Colombian Corporation for Agricultural Research, AGROSAVIA, Colombia. // Department of Animal Science, Piracicaba, SP. Brazil.; ANDRÉ BANNINK, Wageningen Livestock Research, Wageningen University & Research, The Netherlands.; OLGA LUCÍA MAYORGA MOGOLLÓN; ALEXANDER NIKOLOV HRISTOV, Department of Animal Science, The Pennsylvania State University, USA.; GUSTAVO JAURENA, Department of Animal Production, Faculty of Agronomy, University of Buenos Aires (UBA), Argentina; HORACIO GONDA, Department of Animal Nutrition and Management, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.; JOSÉ IGNACIO GERE, Regional Faculty of Buenos Aires, National Technological University (UTN) Buenos Aires, Argentina. // National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; MARÍA ESPERANZA CERÓN-CUCCHI, Institute of Pathobiology, National Institute of Agricultural Technology (INTA) (INTA-CONICET) Buenos Aires, Argentina; ABUNAEK IRTÑUZ.CHURA, Institute of Pathobiology, National Institute of Agricultural Technology (INTA) (INTA-CONICET) Buenos Aires, Argentina; MARÍA PAZ TIERI, Dairy Value Chain Research Institute (IDICAL) (INTA-CONICET), Rafaela, Argentina // Regional Faculty of Rafaela,UTN, Rafaela, Argentina.; OLEGARIO HERNÁNDEZ, INTA, Santiago del Estero, Argentina; PATRICIA RICCI, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.// Institute of Innovation for Agri-Livestock Production and Sustainable Develpment, INTA, Balcarce, Argentina; MARIA PAULA JULIARENA, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina. // Phisics and Engineering Research Centre, National University of the Centre of the Buenos Aires Province (UNCPBA), Tandil, Argentina.; BANIRA LOMBARDI, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina. // Phisics and Engineering Research Centre, National University of the Centre of the Buenos Aires Province (UNCPBA), Tandil, Argentina.; ADIBE LUIZ ABDALLA, Laboratory of Animal Nutrition, Centre for Nuclear Energy in Agriculture (CENA), University fo Sao Paulo (USP), Piracicaba, SP, Brazil.; ADIBE LUIZ ABDALLA-FILHO, Laboratory of Animal Nutrition, Centre for Nuclear Energy in Agriculture (CENA), University fo Sao Paulo (USP), Piracicaba, SP, Brazil.; ALEXANDRE BERNDT, Brazilian Agricultural Research Corporation (Embrapa) Southeast Livestock, Sao Carlos, SP, Brazil.; PATRICIA PERONDI ANCHAO OLIVEIRA, Brazilian Agricultural Research Corporation (Embrapa) Southeast Livestock, Sao Carlos, SP, Brazil.; FÁBIO LUIS HENRIQUE, Associated Colleges of Uberaba (FAZU), Uberaba, MG, Brazil.; ALDA LÚCIA GOMEZ MONTEIRO, Department of Animal Science, Federal University of Paraná, (UFPR), Curitiba. PR, Brazil.; LUIZA ILHA BORGES, Department of Animal Science, Federal University of Paraná, (UFPR), Curitiba. PR, Brazil.; HENRIQUE MENDOCA NUNES RIBEIRO-FILHO, Department of Animal and Food Science, Santa Catarina State University (udesc), Lages, SC, Brazil.; LUIS GUSTAVO RIBEIRO PEREIRA, Embrapa Dairy Cattle, M.G, Brazil; THIERRY RIBEIRO TOMICH, Embrapa Dairy Cattle, M.G, Brazil; MARIANA MAGALHAES CAMPOS, Embrapa Dairy Cattle, M.G, Brazil; FERNANDA SAMARINI MACHADO, Embrapa Dairy Cattle, M.G, Brazil; MARCOS INÁCIO MARCONDES, Department of Animal Science, Federal University of Vicosa (UFV), Vicosa, MG, Brazil.; MARIA EUGENIA ZERLOTTI MERCADANTE, Institute of Animal Science (IZ) Sao Paulo Agribusiness Technology Agency (APTA), SP, Brazil.; LEANDRO SANNOMIYA SAKAMOTO, Institute of Animal Science (IZ) Sao Paulo Agribusiness Technology Agency (APTA), SP, Brazil.; LUCÍA GALVAO ALBUQUERQUE, Department of Animal Science, School of Agriculture and Veterinary Science (FCAV), Sao Paulo State University (UNESP), Jaboticabal, SP, Brazil.; PAULO CÉSAR DE FACCIO CARVALHO, Grazing Ecology Research Group, Department of Forage Plants and Agrometeorology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.; JULIANE ROSSETTO, Grazing Ecology Research Group, Department of Forage Plants and Agrometeorology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.; JEAN VICTOR SAVIAN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. // Grazing Ecology Research Group, Department of Forage Plants and Agrometeorology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.; PAULO HENRIQUE MAZZA RODRIGUES, Department of Animal Nutrition and Production, Faculty of Veterinary Medicine and Animal Science (FMVZ), USP, Pirassuninga, SP, Brazil.; FLAVIO PERNA JÚNIOR, Department of Animal Nutrition and Production, Faculty of Veterinary Medicine and Animal Science (FMVZ), USP, Pirassuninga, SP, Brazil.; TAINÁ SILVESTRE MOREIRA, Department of Animal Nutrition and Production, Faculty of Veterinary Medicine and Animal Science (FMVZ), USP, Pirassuninga, SP, Brazil.// Department of Bioengineering, Federal University of Sao Joao del Rei (UFSJ), MG, Brazil.; ROGÉLIO MARTINS MAURÍCIO, Department of Bioengineering, Federal University of Sao Joao del Rei (UFSJ), MG, Brazil.; JOAO PAULO PACHECO RODRIGUES, Faculty of Animal Science, Federal University of Southern and Southeastern Pará (UNIFESSPA), PA, Brazil.; ANA LUIZA DA COSTA CRUZ BORGES, Department of Animal Science, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.; RICARDO REIS E SILVA, Department of Animal Science, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.; HELENA FERREIRA LAGE, Faculty of Veterinary Medicine, Newton Paiva University, Belo Horizonte, MG, Brazil.; RICARDO ANDRADE REIS, Department of Animal Science, School of Agriculture and Veterinary Science (FCAV), Sao Paulo State University (UNESP), Jaboticabal, SP, Brazil.; ANA CLAUDIA RUGGIERI, Department of Animal Science, School of Agriculture and Veterinary Science (FCAV), Sao Paulo State University (UNESP), Jaboticabal, SP, Brazil.; ABNAEK DA SILVA CARDOSO, Department of Animal Science, School of Agriculture and Veterinary Science (FCAV), Sao Paulo State University (UNESP), Jaboticabal, SP, Brazil.; SILA CARNEIRO DA SILVA, Department of Animal Science, Piracicaba, SP. Brazil.; MARÍLIA BARBOSA CHIAVEGATO, Department of Horticulture & Crop Science and Animal Science, The Ohio State University, Columbus, OH, USA.; SEBASTIAO DE CAMPOS VALADARES-FILHO, Department of Animal Science, Federal University of Vicosa (UFV), Vicosa, MG, Brazil.; FLÁVIA ADRIANE DE SALES SILVA, Department of Animal Science, Federal University of Vicosa (UFV), Vicosa, MG, Brazil.; DIEGO ZANETTI, Federal Institute of Education, Science and Technology of Southern Minas Gerais,MG, Brazil.; TELMA TERESINHA BERCHIELLI, Department of Animal Science, School of Agriculture and Veterinary Science (FCAV), Sao Paulo State University (UNESP), Jaboticabal, SP, Brazil.; JULIANA DUARTE MESSANA, Department of Animal Science, School of Agriculture and Veterinary Science (FCAV), Sao Paulo State University (UNESP), Jaboticabal, SP, Brazil.; CAMILA MUÑOZ, Instituto de Investigaciones Agropecuarias, INIA Remehue, Osorno, Chile.; CLAUDIA JANETH ARIZA-NIETO, Centro de Investigación Tibaitatá de AGROSAVIA, Colombia; LORENA INÉS SIERRA-ALARCÓN, Centro de Investigación Tibaitatá de AGROSAVIA, Colombia; LAURA BIBIANA GUALDRÓN-DUARTE, AGROSAVIA, Turipaná, Cereté, Colombia.; LORENA INÉS MESTRA-VARGAS, AGROSAVIA, Turipaná, Cereté, Colombia.; ISABEL CRISTINA MOLINA-BOTERO, Department of Animal Husbandry, Faculty of Animal Science, National Agrarian University La Molina (UNALM), Lima, Perú.; ROLANDO BARAHONA-ROSALES, Department of Animal Production, Faculty of Agricultural Sciences, National University of Colombia (UNAL), Medellín, Colombia.; JACOBO ARANGO, International Center for Tropical Agriculture (CIAT), Cali, Colombia.; XIOMARA GAVIRIA-URIBE, Department of Animal Production, Faculty of Agricultural Sciences, National University of Colombia (UNAL), Medellín, Colombia. //International Center for Tropical Agriculture (CIAT), Cali, Colombia.; LUIS ALFONSO GIRALDO VALDERRAMA, Department of Animal Production, Faculty of Agricultural Sciences, National University of Colombia, (UNAL), Medellín, Colombia.; JAIME RICARDO ROSERO-NOGUERA, Faculty of Agricultural Sciences, University of Antioquia (UdeA), Medellín, Colombia.; SANDRA LUCÍA POSADA-OCHOA, Faculty of Agricultural Sciences, University of Antioquia (UdeA), Medellín, Colombia.; SERGIO ABARCA-MONGE, National Institute of Innovation and Agricultual Technology Transfer (INTA), Turrialba, Costa Rica.; ROBERTO SOTO-BLANCO, National Institute of Innovation and Agricultual Technology Transfer (INTA), Turrialba, Costa Rica.; JUAN CARLOS KU-VERA, Laboratory of Climate Change and Livestock Production, Department of Animal Nutrition, Faculty of Veterinary Medicine and Animal Sciences, University of Yucatan (UADY), Mérida, Yucatán, México; RAFAEL JIMÉNEZ-OCAMPO, Laboratory of Climate Change and Livestock Production, Department of Animal Nutrition, Faculty of Veterinary Medicine and Animal Sciences, University of Yucatan (UADY), Mérida, Yucatán, México. // National Institute for Forestry, Agriculture and Livestock; EVER DEL JESUS FLORES-SANTIAGO, Laboratory of Climate Change and Livestock Production, Department of Animal Nutrition, Faculty of Veterinary Medicine and Animal Sciences, University of Yucatan (UADY), Mérida, Yucatán, México. Chapingo Autonomous University, (URUSSE), Mexico; OCTAVIO ALONSO CASTELÁN-ORTEGA, Laboratory of Livestock, Environment and Renewabel Energies, Faculty of Veterinary Medicine and Animal Science, Autonumous University Of the State of Mexico (UAEMex), México.; MARÍA FERNANDA VÁZQUEZ-CARRILLO, Laboratory of Livestock, Environment and Renewabel Energies, Faculty of Veterinary Medicine and Animal Science, Autonumous University Of the State of Mexico (UAEMex), México.; MOHAMMED BENAOUDA, UMR1213 Herbivores, French National Research Institute for Agriculture, Food, and Environment (INRAE), France. // AgroSup Dijon, Dijon, France.; CARLOS ALFREDO GÓMEZ-BRAVO, Department of Animal Husbandry, Faculty of Animal Science, National Agrarian University La Molina (UNALM), Lima, Perú.; VICTOR ILICH ALVARADO BOLOVICH, Department of Animal Husbandry, Faculty of Animal Science, National Agrarian University La Molina (UNALM), Lima, Perú.; MEDARDO ANTONIO DÍAZ CÉSPEDES, Department of Animal Husbandry, Faculty of Animal Science, National Agrarian University La Molina (UNALM), Lima, Perú.; LAURA ASTIGARRAGA, Department of Animal Science and Pasture, Faculty of Agronomy, University of the Republic of Uruguay (UdelaR), Montevideo, Uruguay. //Department of Animal Production, Faculty of Agronomy, University of Buenos Aires (UBA), Argentina. |
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Título : |
Enteric methane mitigation strategies for ruminant livestock systems in the Latin America and Caribbean region: a meta-analysis. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Journal of Cleaner Production. 2021. v. 312, art. 127693, 13 p. Doi: https://doi.org/10.1016/j.jclepro.2021.127693 |
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DOI : |
10.1016/j.jclepro.2021.127693 |
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Idioma : |
Inglés |
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Notas : |
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. |
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Contenido : |
Abstract: Latin America and Caribbean (LAC) is a developing region characterized for its importance for global food security,
producing 23 and 11% of the global beef and milk production, respectively. The region?s ruminant livestock sector however, is under scrutiny on environmental grounds due to its large contribution to enteric methane (CH4) emissions and influence on global climate change. Thus, the identification of effective CH4 mitigation strategies which do not compromise animal performance is urgently needed, especially in context of the Sustainable Development Goals (SDG) defined in the Paris Agreement of the United Nations. Therefore, the objectives of the current study were to: 1) collate a database of individual sheep, beef and dairy cattle records from enteric CH4 emission studies conducted in the LAC region, and 2) perform a meta-analysis to identify feasible enteric CH4 mitigation strategies, which do not compromise animal performance. After outlier?s removal, 2745 animal records (65% of the original data) from 103 studies were retained (from 2011 to 2021) in the LAC database. Potential mitigation strategies were classified into three main categories (i.e., animal breeding, dietary, and rumen manipulation) and up to three subcategories, totaling 34 evaluated strategies. A random effects model weighted by inverse variance was used (Comprehensive Meta-Analysis V3.3.070). Six strategies decreased at least one enteric CH4 metric and simultaneously increased milk yield (MY; dairy cattle) or average daily gain (ADG; beef cattle and sheep). The breed composition F1 Holstein ×Gyr decreased CH4 emission per MY (CH4IMilk) while increasing MY by 99%. Adequate strategies of grazing management under continuous and rotational stocking decreased CH4 emission per ADG (CH4IGain) by 22 and 35%, while increasing ADG by 22 and 71%, respectively. Increased dietary protein concentration, and increased concentrate level through cottonseed meal inclusion, decreased CH4IMilk and CH4IGain by 10 and 20% and increased MY and ADG by 12 and 31%, respectively. Lastly, increased feeding level decreased CH4IGain by 37%, while increasing ADG by 171%. The identified effective mitigation strategies can be adopted by livestock producers according to their specific needs and aid LAC countries in achieving SDG as defined in the Paris Agreement. MenosAbstract: Latin America and Caribbean (LAC) is a developing region characterized for its importance for global food security,
producing 23 and 11% of the global beef and milk production, respectively. The region?s ruminant livestock sector however, is under scrutiny on environmental grounds due to its large contribution to enteric methane (CH4) emissions and influence on global climate change. Thus, the identification of effective CH4 mitigation strategies which do not compromise animal performance is urgently needed, especially in context of the Sustainable Development Goals (SDG) defined in the Paris Agreement of the United Nations. Therefore, the objectives of the current study were to: 1) collate a database of individual sheep, beef and dairy cattle records from enteric CH4 emission studies conducted in the LAC region, and 2) perform a meta-analysis to identify feasible enteric CH4 mitigation strategies, which do not compromise animal performance. After outlier?s removal, 2745 animal records (65% of the original data) from 103 studies were retained (from 2011 to 2021) in the LAC database. Potential mitigation strategies were classified into three main categories (i.e., animal breeding, dietary, and rumen manipulation) and up to three subcategories, totaling 34 evaluated strategies. A random effects model weighted by inverse variance was used (Comprehensive Meta-Analysis V3.3.070). Six strategies decreased at least one enteric CH4 metric and simultaneously increased milk ... Presentar Todo |
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Palabras claves : |
CATTLE; ENTERIC METHANE; GLOBAL WARMING; GREENHOUSE GAS EMISSIONS; MITIGATION; SHEPP. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15802/1/Journal-Cleaner-Production-2021.pdf
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Marc : |
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100 1 $aSOUZA CONGIO, G. F. DE
245 $aEnteric methane mitigation strategies for ruminant livestock systems in the Latin America and Caribbean region$ba meta-analysis.$h[electronic resource]
260 $c2021
500 $aArticle 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.
520 $aAbstract: Latin America and Caribbean (LAC) is a developing region characterized for its importance for global food security, producing 23 and 11% of the global beef and milk production, respectively. The region?s ruminant livestock sector however, is under scrutiny on environmental grounds due to its large contribution to enteric methane (CH4) emissions and influence on global climate change. Thus, the identification of effective CH4 mitigation strategies which do not compromise animal performance is urgently needed, especially in context of the Sustainable Development Goals (SDG) defined in the Paris Agreement of the United Nations. Therefore, the objectives of the current study were to: 1) collate a database of individual sheep, beef and dairy cattle records from enteric CH4 emission studies conducted in the LAC region, and 2) perform a meta-analysis to identify feasible enteric CH4 mitigation strategies, which do not compromise animal performance. After outlier?s removal, 2745 animal records (65% of the original data) from 103 studies were retained (from 2011 to 2021) in the LAC database. Potential mitigation strategies were classified into three main categories (i.e., animal breeding, dietary, and rumen manipulation) and up to three subcategories, totaling 34 evaluated strategies. A random effects model weighted by inverse variance was used (Comprehensive Meta-Analysis V3.3.070). Six strategies decreased at least one enteric CH4 metric and simultaneously increased milk yield (MY; dairy cattle) or average daily gain (ADG; beef cattle and sheep). The breed composition F1 Holstein ×Gyr decreased CH4 emission per MY (CH4IMilk) while increasing MY by 99%. Adequate strategies of grazing management under continuous and rotational stocking decreased CH4 emission per ADG (CH4IGain) by 22 and 35%, while increasing ADG by 22 and 71%, respectively. Increased dietary protein concentration, and increased concentrate level through cottonseed meal inclusion, decreased CH4IMilk and CH4IGain by 10 and 20% and increased MY and ADG by 12 and 31%, respectively. Lastly, increased feeding level decreased CH4IGain by 37%, while increasing ADG by 171%. The identified effective mitigation strategies can be adopted by livestock producers according to their specific needs and aid LAC countries in achieving SDG as defined in the Paris Agreement.
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773 $tJournal of Cleaner Production. 2021.$gv. 312, art. 127693, 13 p. Doi: https://doi.org/10.1016/j.jclepro.2021.127693
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INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
20/08/2019 |
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Actualizado : |
04/05/2020 |
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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 : |
ALTESOR, A.; GALLEGO, F.; FERRÓN, M; PEZZANI, F.; LÓPEZ-MÁRSICO, L.; LEZAMA,F.; BAEZA, S.; PEREIRA, M.; COSTA, B.; PARUELO, J. |
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Afiliación : |
ALICE ALTESOR, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; FEDERICO GALLEGO, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; MANUEL FERRÓN, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; FABIANA PEZZANI, Ecología, Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; LUIS LÓPEZ-MÁRSICO, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; FELIPE LEZAMA, Ecología, Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; SANTIAGO BAEZA, Ecología, Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; MARCELO PEREIRA, Instituto Plan Agropecuario, Montevideo, Uruguay.; BEATRIZ COSTA, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Montevideo, Uruguay.Facultad de Agronomía and IFEVA,UBA, CONICET, Argentina. |
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Título : |
An inductive approach to build State-and-Transition Models for Uruguayan grasslands. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Rangeland Ecology and Management, November 2019, Volume 72, Issue 6, Pages 1005-1016. Doi: https://doi.org/10.1016/j.rama.2019.06.004 |
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DOI : |
10.1016/j.rama.2019.06.004 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 19 October 2018// Revised 7 June 2019// Accepted 24 June 2019// Available online 8 August 2019.-Correspondence: E-mail address: aaltesor@fcien.edu.uy (A. Altesor).This work was supported by Instituto Nacional de Investigación Agropecuaria (Fondo de Promoción de Tecnología Agropecuaria FPTA 305). This work was carried out with the aid of a grant from the Inter-American Institute for Global Change Research CRN3095 (Bridging Ecosystem Services and Territorial Planning: a southern South American initiative), which is supported by the US National Science Foundation (GEO 1128040). The Comisión Sectorial de Investigación Científica of the Universidad de la República supported this work. |
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Contenido : |
Abstract:
We report State-and-Transition Models for Uruguayan grasslands built upon a methodological approach that objectively defined states/phases associated, a priori, to rangeland management. Such approach was based on randomly sampled areas corresponding to mapped grassland communities. Each sampled area matched a MODIS pixel. Vegetation structural indicators were recorded in every pixel. After a multivariate analysis, field observations were grouped according to similarities in terms of structure, and different "states" and "phases" were identified. Ecosystem functioning and the supply of regulating ecosystem services were estimated for each grassland state/phase using the normalized difference vegetation index (NDVI) derived from MODIS sensor. Finally, workshops were held in order to detect local stakeholders? perceptions, and to discuss the management practices to promote the desired transitions among phases. Results were presented for two vegetation units of the Basaltic ?Cuesta? region. The ?inductive approach? applied not only led to the description of ?states?, but also to the identification of more subtle changes in vegetation ("phases"). Our approach minimized biases due to personal experience as well as differences derived from using different observation protocols. The two vegetation units presented an internal heterogeneity associated to changes in basal stratum height, total cover, stratification, frequency of decreasing species due to grazing, and proportion of plant functional types. The ecosystem functioning descriptors of each phase responded to extreme climatic events differently. Based on stakeholder?s opinions and experiences, stocking rate, sheep/cattle ratio, and grazing method were the main management practices promoting the transition among phases. MenosAbstract:
We report State-and-Transition Models for Uruguayan grasslands built upon a methodological approach that objectively defined states/phases associated, a priori, to rangeland management. Such approach was based on randomly sampled areas corresponding to mapped grassland communities. Each sampled area matched a MODIS pixel. Vegetation structural indicators were recorded in every pixel. After a multivariate analysis, field observations were grouped according to similarities in terms of structure, and different "states" and "phases" were identified. Ecosystem functioning and the supply of regulating ecosystem services were estimated for each grassland state/phase using the normalized difference vegetation index (NDVI) derived from MODIS sensor. Finally, workshops were held in order to detect local stakeholders? perceptions, and to discuss the management practices to promote the desired transitions among phases. Results were presented for two vegetation units of the Basaltic ?Cuesta? region. The ?inductive approach? applied not only led to the description of ?states?, but also to the identification of more subtle changes in vegetation ("phases"). Our approach minimized biases due to personal experience as well as differences derived from using different observation protocols. The two vegetation units presented an internal heterogeneity associated to changes in basal stratum height, total cover, stratification, frequency of decreasing species due to grazing, and proporti... Presentar Todo |
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Palabras claves : |
ECOSYSTEM SERVICES SUPPLY INDEX (ESSI); INDUCTIVE APPROACH; NORMALIZED VEGETATION INDEX (NDVI); PLANT LIFE FORMS; STAKEHOLDERS. |
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Thesagro : |
PASTURAS; URUGUAY. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03560naa a2200337 a 4500
001 1060038
005 2020-05-04
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1016/j.rama.2019.06.004$2DOI
100 1 $aALTESOR, A.
245 $aAn inductive approach to build State-and-Transition Models for Uruguayan grasslands.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 19 October 2018// Revised 7 June 2019// Accepted 24 June 2019// Available online 8 August 2019.-Correspondence: E-mail address: aaltesor@fcien.edu.uy (A. Altesor).This work was supported by Instituto Nacional de Investigación Agropecuaria (Fondo de Promoción de Tecnología Agropecuaria FPTA 305). This work was carried out with the aid of a grant from the Inter-American Institute for Global Change Research CRN3095 (Bridging Ecosystem Services and Territorial Planning: a southern South American initiative), which is supported by the US National Science Foundation (GEO 1128040). The Comisión Sectorial de Investigación Científica of the Universidad de la República supported this work.
520 $aAbstract: We report State-and-Transition Models for Uruguayan grasslands built upon a methodological approach that objectively defined states/phases associated, a priori, to rangeland management. Such approach was based on randomly sampled areas corresponding to mapped grassland communities. Each sampled area matched a MODIS pixel. Vegetation structural indicators were recorded in every pixel. After a multivariate analysis, field observations were grouped according to similarities in terms of structure, and different "states" and "phases" were identified. Ecosystem functioning and the supply of regulating ecosystem services were estimated for each grassland state/phase using the normalized difference vegetation index (NDVI) derived from MODIS sensor. Finally, workshops were held in order to detect local stakeholders? perceptions, and to discuss the management practices to promote the desired transitions among phases. Results were presented for two vegetation units of the Basaltic ?Cuesta? region. The ?inductive approach? applied not only led to the description of ?states?, but also to the identification of more subtle changes in vegetation ("phases"). Our approach minimized biases due to personal experience as well as differences derived from using different observation protocols. The two vegetation units presented an internal heterogeneity associated to changes in basal stratum height, total cover, stratification, frequency of decreasing species due to grazing, and proportion of plant functional types. The ecosystem functioning descriptors of each phase responded to extreme climatic events differently. Based on stakeholder?s opinions and experiences, stocking rate, sheep/cattle ratio, and grazing method were the main management practices promoting the transition among phases.
650 $aPASTURAS
650 $aURUGUAY
653 $aECOSYSTEM SERVICES SUPPLY INDEX (ESSI)
653 $aINDUCTIVE APPROACH
653 $aNORMALIZED VEGETATION INDEX (NDVI)
653 $aPLANT LIFE FORMS
653 $aSTAKEHOLDERS
700 1 $aGALLEGO, F.
700 1 $aFERRÓN, M
700 1 $aPEZZANI, F.
700 1 $aLÓPEZ-MÁRSICO, L.
700 1 $aLEZAMA,F.
700 1 $aBAEZA, S.
700 1 $aPEREIRA, M.
700 1 $aCOSTA, B.
700 1 $aPARUELO, J.
773 $tRangeland Ecology and Management, November 2019, Volume 72, Issue 6, Pages 1005-1016. Doi: https://doi.org/10.1016/j.rama.2019.06.004
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