| |
|
|
 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA La Estanzuela; INIA Treinta y Tres. |
|
Fecha : |
20/08/2019 |
|
Actualizado : |
16/03/2021 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Autor : |
LEZAMA, F.; PEREIRA, M.; ALTESOR, A.; PARUELO, J. |
|
Afiliación : |
FELIPE LEZAMA; MARCELO PEREIRA; ALICIA ALTESOR; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
|
Título : |
Grasslands of Uruguay: classification based on vegetation plots. |
|
Fecha de publicación : |
2019 |
|
Fuente / Imprenta : |
Phytocoenologia, 2019, v. 49(3): 211-229. Doi: https://doi.org/10.1127/phyto/2019/0215 |
|
DOI : |
10.1127/phyto/2019/0215 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Submitted: 25 May 2017 //First decision: 6 October 2017// Accepted: 22 August 2018.// Co-ordinating Editor: Idoia Biurrun. |
|
Contenido : |
Abstract:
Aims: The Rio de la Plata grasslands are one of the largest areas of temperate humid and sub-humid grasslands
of the world. A substantial fraction of these natural grasslands are preserved in Uruguay, occupying more than
60% of the country. So far, Uruguayan grasslands have been indirectly classified using only geomorphological
and edaphic criteria. An adequate description of vegetation heterogeneity is a prerequisite to study ecosystem
function and to design management and conservation strategies for this region. To this end, we present a classification of the natural grassland communities of Uruguay based on a wide and comprehensive set of phytosociological relevés. Study area: Uruguay. Methods: Three hundred eight grassland relevés were utilized for classification and ordination multivariate analyses. Agglomerative clustering based on the flexible Beta linkage
method and Sørensen distance measure were employed to identify relevé groups. Indicator species analysis was
also performed to identify diagnostic species. We used Non-metric multidimensional scaling to determine the
main floristic gradients. Results: Five communities and 14 sub-communities were identified. Two of the communities were restricted to the ?Basaltic? region of central and northern Uruguay, while the other three were
distributed through the Eastern Hills, North Eastern Sedimentary Basin and the South Central regions. Three
of the communities correspond to densely-vegetated grasslands associated with medium and deep soils. The
remaining two communities correspond to sparsely-vegetated grasslands on shallow soils. The main floristic
gradient separated sparsely-vegetated grasslands from densely-vegetated ones, and was related to soil and topographical characteristics. The second floristic gradient separated grasslands by their different geological substrates. Conclusions: In this study, we present the first attempt to conduct a vegetation classification of Uruguayan grasslands based on floristic composition. Vegetation typologies, like the one we propose, can be used
as a framework to extrapolate point information on grassland management and vulnerability.
Keywords: Campos; cool-season grass; grassland; Indicator Species Analysis; phytosociological MenosAbstract:
Aims: The Rio de la Plata grasslands are one of the largest areas of temperate humid and sub-humid grasslands
of the world. A substantial fraction of these natural grasslands are preserved in Uruguay, occupying more than
60% of the country. So far, Uruguayan grasslands have been indirectly classified using only geomorphological
and edaphic criteria. An adequate description of vegetation heterogeneity is a prerequisite to study ecosystem
function and to design management and conservation strategies for this region. To this end, we present a classification of the natural grassland communities of Uruguay based on a wide and comprehensive set of phytosociological relevés. Study area: Uruguay. Methods: Three hundred eight grassland relevés were utilized for classification and ordination multivariate analyses. Agglomerative clustering based on the flexible Beta linkage
method and Sørensen distance measure were employed to identify relevé groups. Indicator species analysis was
also performed to identify diagnostic species. We used Non-metric multidimensional scaling to determine the
main floristic gradients. Results: Five communities and 14 sub-communities were identified. Two of the communities were restricted to the ?Basaltic? region of central and northern Uruguay, while the other three were
distributed through the Eastern Hills, North Eastern Sedimentary Basin and the South Central regions. Three
of the communities correspond to densely-vegetated grasslands associate... Presentar Todo |
|
Palabras claves : |
CAMPOS; COOL-SEASON GRASS; GRASSLAND; INDICATOR SPECIES ANALYSIS; PHYTOSOCIOLOGICAL RELEVÉ; SOIL DEPTH; SPECIES RICHNESS; VEGETATION CLASSIFICATION; WARM-SEASON GRASS. |
|
Thesagro : |
PASTURAS; URUGUAY. |
|
Asunto categoría : |
A50 Investigación agraria |
|
Marc : |
LEADER 03302naa a2200313 a 4500
001 1060036
005 2021-03-16
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1127/phyto/2019/0215$2DOI
100 1 $aLEZAMA, F.
245 $aGrasslands of Uruguay$bclassification based on vegetation plots.$h[electronic resource]
260 $c2019
500 $aArticle history: Submitted: 25 May 2017 //First decision: 6 October 2017// Accepted: 22 August 2018.// Co-ordinating Editor: Idoia Biurrun.
520 $aAbstract: Aims: The Rio de la Plata grasslands are one of the largest areas of temperate humid and sub-humid grasslands of the world. A substantial fraction of these natural grasslands are preserved in Uruguay, occupying more than 60% of the country. So far, Uruguayan grasslands have been indirectly classified using only geomorphological and edaphic criteria. An adequate description of vegetation heterogeneity is a prerequisite to study ecosystem function and to design management and conservation strategies for this region. To this end, we present a classification of the natural grassland communities of Uruguay based on a wide and comprehensive set of phytosociological relevés. Study area: Uruguay. Methods: Three hundred eight grassland relevés were utilized for classification and ordination multivariate analyses. Agglomerative clustering based on the flexible Beta linkage method and Sørensen distance measure were employed to identify relevé groups. Indicator species analysis was also performed to identify diagnostic species. We used Non-metric multidimensional scaling to determine the main floristic gradients. Results: Five communities and 14 sub-communities were identified. Two of the communities were restricted to the ?Basaltic? region of central and northern Uruguay, while the other three were distributed through the Eastern Hills, North Eastern Sedimentary Basin and the South Central regions. Three of the communities correspond to densely-vegetated grasslands associated with medium and deep soils. The remaining two communities correspond to sparsely-vegetated grasslands on shallow soils. The main floristic gradient separated sparsely-vegetated grasslands from densely-vegetated ones, and was related to soil and topographical characteristics. The second floristic gradient separated grasslands by their different geological substrates. Conclusions: In this study, we present the first attempt to conduct a vegetation classification of Uruguayan grasslands based on floristic composition. Vegetation typologies, like the one we propose, can be used as a framework to extrapolate point information on grassland management and vulnerability. Keywords: Campos; cool-season grass; grassland; Indicator Species Analysis; phytosociological
650 $aPASTURAS
650 $aURUGUAY
653 $aCAMPOS
653 $aCOOL-SEASON GRASS
653 $aGRASSLAND
653 $aINDICATOR SPECIES ANALYSIS
653 $aPHYTOSOCIOLOGICAL RELEVÉ
653 $aSOIL DEPTH
653 $aSPECIES RICHNESS
653 $aVEGETATION CLASSIFICATION
653 $aWARM-SEASON GRASS
700 1 $aPEREIRA, M.
700 1 $aALTESOR, A.
700 1 $aPARUELO, J.
773 $tPhytocoenologia, 2019$gv. 49(3): 211-229. Doi: https://doi.org/10.1127/phyto/2019/0215
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA La Estanzuela (LE) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
| Registros recuperados : 719 | |
| 132. |  | SAVIAN, J.V.; PRIANO, M.E.; NADIN, L.B.; TIERI, M.P.; MARINHO TRES SCHONS, R.; BASSO, C.; PONTES PRATES, A.; BAYER, C. Effect of sward management on the emissions of CH4 and N2O from faeces of sheep grazing Italian ryegrass pastures. Small Ruminant Reseach, Sept. 2019, volume 178, Pages 123-128. History Article: Received 4 April 2019; Received in revised from 21 August 2019; Accepted 22 August 2019. Available online 24 August 2019.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : -- - -- |
| Biblioteca(s): INIA Treinta y Tres. |
|    |
| 134. | | ALTESOR, A.; GALLEGO, F.; FERRÓN, M; PEZZANI, F.; LÓPEZ-MÁRSICO, L.; LEZAMA,F.; BAEZA, S.; PEREIRA, M.; COSTA, B.; PARUELO, J. An inductive approach to build State-and-Transition Models for Uruguayan grasslands. Rangeland Ecology and Management, November 2019, Volume 72, Issue 6, Pages 1005-1016. Doi: https://doi.org/10.1016/j.rama.2019.06.004 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...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
| |
| 135. | | ZANINE, A.M.; RODRIGUEZ MOTTA, J.P.; FERREIRA, D.J.; DE SOUZA, A.L.; RIBEIRO, M.D.; GERON, L.J.V.; FAJARDO, M.; SPRUNK, M.; PINHO, R.M.A. Milk performance and grazing behaviour of dairy cows in response to pasture allowance. Animal Production Science, 2019, Volume 59, Issue 4, Pages 749-756. Article history: Submitted: 26 July 2017 /Accepted: 15 February 2018 / Published online: 14 May 2018.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
| |
| 136. | | QUINCKE, A.; BERMÚDEZ, R.; CUADRO, R.; GIORELLO, D. Introducción y metodología general. In: Quincke, A.; Cuadro, R. (Eds.). Fertilización de pasturas de leguminosas: resultados para el manejo del fósforo y el azufre. Montevideo (UY): INIA, 2019. p. 1-13. (INIA Serie Técnica; 248)| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
|  |
| 138. | | INIA TACUAREMBÓ INIA Sepé: una forrajera nativa de alta productividad y persistencia. Jornada de Paspalum notatum INIA SEPÉ, 7 de febrero, Establecimiento San Bentos, Tambores, Tacuarembó, 2019. Tacuarembó (Uruguay): INIA, 2019. 4 p. Equipo de trabajo de Mejoramiento Genético en INIA Sepé: Rafael Reyno, Javier Do Canto, Carlos Rossi, Rúben Mérola, Fernando Silveira, Martín Sosa y Ana Viana. Equipo de trabajo de Manejo Agronómico INIA Sepé: Diego Giorello, Robin...| Biblioteca(s): INIA Tacuarembó. |
| |
| 139. | | MEDINA, S.; BERGÓS, F.; REYNO, R.; ROSSI, C.; ZARZA, R.; CARRASCO-LETELIER, L.; SILVEIRA, D.; CETRULO, F.; BECEIRO, J.; VERCELLINO, D. Restauración de servicios ecosistémicos en base a implantación de pasturas nativas en el área protegida de los montes del Queguay. Revista INIA Uruguay, 2019, no. 56, p. 43-47. (Revista INIA; 56).| Tipo: Artículos en Revistas Agropecuarias |
| Biblioteca(s): INIA Tacuarembó. |
| |
| Registros recuperados : 719 | |
|
| Expresión de búsqueda válido. Check! |
|
|
