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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
04/08/2020 |
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Actualizado : |
04/08/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
GONZÁLEZ BARRIOS, P.; BORGES, A.; TERRA, J.A.; PÉREZ BIDEGAIN, M.; GUTIÉRREZ, L. |
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Afiliación : |
PABLO GONZÁLEZ BARRIOS, Facultad de Agronomía, UdelaR, UY.; ALEJANDRO BORGES, Facultad de Agronomía, UdelaR, UY.; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIO PÉREZ BIDEGAIN, Facultad de Agronomía, UdelaR, UY.; LUCÍA GUTIÉRREZ, Department of Agronomy, University of Wisconsin, Madison, USA. |
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Título : |
Spatio-temporal modeling and competition dynamics in forest tillage experiments on early growth of Eucalyptus grandis L. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Forest Science, 28 March 2020, Volume 20, Pages 1-11. Doi: https://doi.org/10.1093/forsci/fxaa007 |
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DOI : |
10.1093/forsci/fxaa007 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 30 July 2019// Accepted: 30 January 2020// Published: 28 March 2020. |
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Contenido : |
Forest tillage experiments regularly use long-term evaluations of large plots creating temporal and/or spatial correlations among observations. Not modeling these correlations could compromise treatment comparisons. The aim of this study was to evaluate the effect of modeling spatio-temporal (ST) variability in forest tillage experiments. We used different strategies that incorporate spatial and/or temporal correlations in the evaluation of tillage intensity effect in initial Eucalyptus growth as well as evaluate the effect of intraplot mortality and competition dynamics. Three tillage intensities in two contrasting soil conditions were compared for tree height and wood volume. Additionally, we compared the use of three individual growth curves for plant height to evaluate the time needed to reach 2 m in height (T2m). We modeled the spatial correlation of T2m using mixed models. In both sites, ST models were superior for plant height and wood volume per hectare, whereas for individual-tree wood volume, temporal models were superior. Pit planting always had a lower performance than disk harrowing and subsoiler, which behaved similarly. The competition dynamics within the plot because of tree mortality was affected by treatments and site. Modeling ST variability is key to improving treatment comparisons in forest experiments. |
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Palabras claves : |
GROWTH CURVES; SITE PREPARATION; SPATIO-TEMPORAL VARIABILITY; TILLAGE INTENSITY. |
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Asunto categoría : |
U10 Métodos matemáticos y estadísticos |
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Marc : |
LEADER 02236naa a2200241 a 4500
001 1061260
005 2020-08-04
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1093/forsci/fxaa007$2DOI
100 1 $aGONZÁLEZ BARRIOS, P.
245 $aSpatio-temporal modeling and competition dynamics in forest tillage experiments on early growth of Eucalyptus grandis L.$h[electronic resource]
260 $c2020
500 $aArticle history: Received: 30 July 2019// Accepted: 30 January 2020// Published: 28 March 2020.
520 $aForest tillage experiments regularly use long-term evaluations of large plots creating temporal and/or spatial correlations among observations. Not modeling these correlations could compromise treatment comparisons. The aim of this study was to evaluate the effect of modeling spatio-temporal (ST) variability in forest tillage experiments. We used different strategies that incorporate spatial and/or temporal correlations in the evaluation of tillage intensity effect in initial Eucalyptus growth as well as evaluate the effect of intraplot mortality and competition dynamics. Three tillage intensities in two contrasting soil conditions were compared for tree height and wood volume. Additionally, we compared the use of three individual growth curves for plant height to evaluate the time needed to reach 2 m in height (T2m). We modeled the spatial correlation of T2m using mixed models. In both sites, ST models were superior for plant height and wood volume per hectare, whereas for individual-tree wood volume, temporal models were superior. Pit planting always had a lower performance than disk harrowing and subsoiler, which behaved similarly. The competition dynamics within the plot because of tree mortality was affected by treatments and site. Modeling ST variability is key to improving treatment comparisons in forest experiments.
653 $aGROWTH CURVES
653 $aSITE PREPARATION
653 $aSPATIO-TEMPORAL VARIABILITY
653 $aTILLAGE INTENSITY
700 1 $aBORGES, A.
700 1 $aTERRA, J.A.
700 1 $aPÉREZ BIDEGAIN, M.
700 1 $aGUTIÉRREZ, L.
773 $tForest Science, 28 March 2020, Volume 20, Pages 1-11. Doi: https://doi.org/10.1093/forsci/fxaa007
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
18/02/2019 |
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Actualizado : |
20/02/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
-- - -- |
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Autor : |
BLUMETTO, O.; CASTAGNA, A.; CARDOZO, G.; GARCIA, F.; TISCORNIA, G.; RUGGIA, A.; SCARLATO, S.; ALBICETTE, M.M.; AGUERRE, V.; ALBÍN, A. |
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Afiliación : |
OSCAR RICARDO BLUMETTO VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRES CASTAGNA DU PRE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERONIMO AGUSTIN CARDOZO CABANELAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FELIPE LUIS GARCIA OLASO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDREA PAOLA RUGGIA CHIESA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO SCARLATO GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA MARTA ALBICETTE BASTRERI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VERONICA AGUERRE ANTIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALFREDO SANTIAGO ALBÍN FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Ecosystem integrity index, an innovative environmental evaluation tool for agricultural production systems. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Ecological indicators, 2019, v. 101, p. 725-733. |
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DOI : |
10.1016/j.ecolind.2019.01.077 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 4 July 2018; Received in revised form 9 January 2019; Accepted 29 January 2019. |
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Contenido : |
ABSTRACT: Environmental assessment of agricultural production systems is an increasing concern within the international community. When evaluation involves biodiversity indicators, as richness or diversity in certain taxa or their roles in ecosystems, the participation of specialists is required to identify, classify and interpret diversity at the level of species, communities and ecosystems. Due to costs and time demand, this can be an important obstacle when a widespread use of these assessments is needed to contribute to policy making and evaluation, field
management decision-making or implementation of a specific technology. We developed a new index that combines different environmental characteristics which can be evaluated qualitatively and quantitatively with a basic training, can be implemented quickly and each index component is directly associated with key aspects for the assessment of ecosystem capacity to sustain wildlife and ecosystem services. The Ecosystem Integrity Index (EII) evaluates the status of a specific ecosystem under agricultural use, referred to an optimal condition that must be established for the ecoregion. Its application involves a qualitative and quantitative visual evaluation considering four components: vegetation structure, plant species, soil and riparian areas. Each component is valued on a 0?5 scale, where 5 is the best possible condition. EII is a simple and robust tool for evaluating and monitoring integrity of groecosystems and the primary validation demonstrates good correlation with other environmental variables such as wildlife diversity and soil organic carbon. MenosABSTRACT: Environmental assessment of agricultural production systems is an increasing concern within the international community. When evaluation involves biodiversity indicators, as richness or diversity in certain taxa or their roles in ecosystems, the participation of specialists is required to identify, classify and interpret diversity at the level of species, communities and ecosystems. Due to costs and time demand, this can be an important obstacle when a widespread use of these assessments is needed to contribute to policy making and evaluation, field
management decision-making or implementation of a specific technology. We developed a new index that combines different environmental characteristics which can be evaluated qualitatively and quantitatively with a basic training, can be implemented quickly and each index component is directly associated with key aspects for the assessment of ecosystem capacity to sustain wildlife and ecosystem services. The Ecosystem Integrity Index (EII) evaluates the status of a specific ecosystem under agricultural use, referred to an optimal condition that must be established for the ecoregion. Its application involves a qualitative and quantitative visual evaluation considering four components: vegetation structure, plant species, soil and riparian areas. Each component is valued on a 0?5 scale, where 5 is the best possible condition. EII is a simple and robust tool for evaluating and monitoring integrity of groecosystems and the pr... Presentar Todo |
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Palabras claves : |
BIODIVERSITY; ECOSYSTEM SERVICES; GRAZING MANAGEMENT; RIPARIAN ECOSYSTEM; SUSTAINABILITY; VEGETATION STRUCTURE. |
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Thesagro : |
BIODIVERSIDAD; ECOSISTEMAS; MANEJO DE PASTOREO; SUSTENTABILIDAD. |
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Asunto categoría : |
F40 Ecología vegetal |
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Marc : |
LEADER 02790naa a2200373 a 4500
001 1059498
005 2020-02-20
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1016/j.ecolind.2019.01.077$2DOI
100 1 $aBLUMETTO, O.
245 $aEcosystem integrity index, an innovative environmental evaluation tool for agricultural production systems.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 4 July 2018; Received in revised form 9 January 2019; Accepted 29 January 2019.
520 $aABSTRACT: Environmental assessment of agricultural production systems is an increasing concern within the international community. When evaluation involves biodiversity indicators, as richness or diversity in certain taxa or their roles in ecosystems, the participation of specialists is required to identify, classify and interpret diversity at the level of species, communities and ecosystems. Due to costs and time demand, this can be an important obstacle when a widespread use of these assessments is needed to contribute to policy making and evaluation, field management decision-making or implementation of a specific technology. We developed a new index that combines different environmental characteristics which can be evaluated qualitatively and quantitatively with a basic training, can be implemented quickly and each index component is directly associated with key aspects for the assessment of ecosystem capacity to sustain wildlife and ecosystem services. The Ecosystem Integrity Index (EII) evaluates the status of a specific ecosystem under agricultural use, referred to an optimal condition that must be established for the ecoregion. Its application involves a qualitative and quantitative visual evaluation considering four components: vegetation structure, plant species, soil and riparian areas. Each component is valued on a 0?5 scale, where 5 is the best possible condition. EII is a simple and robust tool for evaluating and monitoring integrity of groecosystems and the primary validation demonstrates good correlation with other environmental variables such as wildlife diversity and soil organic carbon.
650 $aBIODIVERSIDAD
650 $aECOSISTEMAS
650 $aMANEJO DE PASTOREO
650 $aSUSTENTABILIDAD
653 $aBIODIVERSITY
653 $aECOSYSTEM SERVICES
653 $aGRAZING MANAGEMENT
653 $aRIPARIAN ECOSYSTEM
653 $aSUSTAINABILITY
653 $aVEGETATION STRUCTURE
700 1 $aCASTAGNA, A.
700 1 $aCARDOZO, G.
700 1 $aGARCIA, F.
700 1 $aTISCORNIA, G.
700 1 $aRUGGIA, A.
700 1 $aSCARLATO, S.
700 1 $aALBICETTE, M.M.
700 1 $aAGUERRE, V.
700 1 $aALBÍN, A.
773 $tEcological indicators, 2019$gv. 101, p. 725-733.
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