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| Registros recuperados : 7 | |
| 1. |  | PÉREZ, N.; NIELL, S.; JESÚS, F.; PÉREZ, C.; CARRASCO-LETELIER, L.; MENDOZA, Y.; DÍAZ-CETTI, S. Caracterización acústica de la colmena para la detección temprana de contaminación por agroquímicos: nota técnica. Cangüé, 2. época, n. 35, p. 2-6, 2014.| Biblioteca(s): INIA La Estanzuela. |
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| 3. | | NIELL, S.; JESÚS, F.; PÉREZ, C.; MENDOZA, Y.; DIAZ, R.; FRANCO, J.; CESIO, V.; HEINZEN, H. QuEChERS adaptability for the analysis of pesticide residues in beehive products seeking the development of an agroecosystem sustainability monitor. Journal of Agricultural and Food Chemistry, 13 May 2015, Volume 63, Issue 18, Pages 4484-4492. Article history: Publication Date (Web): 16 Apr 2015| Biblioteca(s): INIA La Estanzuela. |
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| 4. | | NIELL, S.; JESÚS F.; DÍAZ , R.; MENDOZA, Y.; NOTTE, G.; SANTOS,E.; GÉREZ, N.; VERÓNICA, M.; CANCELA, H. Agroecology environment quality quotient (AEQ), an indicator of both, the beehive fitness and the contamination level of the environment by pesticides Ecological Indicators, November 2019, Volume 106, Article number 105448. Article history: Received 2 March 2019/ Revised 3 May 2019/ Accepted 29 May 2019/ Available online 20 June 2019.| Biblioteca(s): INIA La Estanzuela. |
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| 5. | | NIELL, S.; JESÚS, F.; DÍAZ, R.; MENDOZA, Y.; NOTTE, G.; SANTOS, E.; GÉREZ, N.; CESIO, V.; HORACIO HEINZEN Beehives biomonitor pesticides in agroecosystems: Simple chemical and biological indicators evaluation using Support Vector Machines (SVM). Ecological Indicators, August 2018, Volume 91, Pages 149-154. Article history: Received 13 May 2017/ Revised 10 January 2018/ Accepted 12 March 2018/ Available online 7 April 2018.| Biblioteca(s): INIA La Estanzuela. |
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| 6. | | PÉREZ, N.; JESÚS, F.; PÉREZ, C.; NIELL, S.; DRAPER, A.; OBRUSNIK, N.; ZINEMANAS, P.; MENDOZA, Y.; CARRASCO-LETELIER, L.; MONZÓN, P. Continuous monitoring of beehives' sound for environmental pollution control. (Short Communication) Ecological Engineering, 2016, v.90, p.326-330. Article history: Received 12 August 2015 / Received in revised form 26 December 2015 / Accepted 26 January 2016 / Available online 18 February 2016.| Biblioteca(s): INIA Las Brujas. |
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| 7. | | NIELL, S.; JESÚS, F.; PÉREZ, N.; PÉREZ, C.; PAREJA, L.; ABATTE, S.; CARRASCO-LETELIER, L.; DIAZ, S.; MENDOZA, Y.; CESIO, V.; HEINZEN, H. Neonicotinoids transference from the field to the hive by honey bees: Towards a pesticide residues biomonitor Science of the Total Environment, 2017, v. 581-582, p. 25-31 Article history: Received 3 October 2016 / Received in revised form 14 December 2016 / Accepted 2 January 2017 / Available online xxxx| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| Registros recuperados : 7 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
04/11/2024 |
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Actualizado : |
04/11/2024 |
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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 : |
GUIDO, A. C.; ALTESOR, A.; CAYSSIALS, V.; LEZAMA, F.; MELLO, A. L.; PARUELO, J.; BAEZA, S. |
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Afiliación : |
ANA CLARA GUIDO, Facultad de Ciencias, Instituto de Ecología y Ciencias Ambientales, Universidad de la República, Montevideo, Uruguay; ALICE ALTESOR, Facultad de Ciencias, Instituto de Ecología y Ciencias Ambientales, Universidad de la República, Montevideo, Uruguay; VALERIE CAYSSIALS, Facultad de Veterinaria, Unidad de Bioestadística, Universidad de la República, Montevideo, Uruguay; FELIPE LEZAMA, Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; ANA LAURA MELLO, Dirección Nacional de Biodiversidad y Servicios Ecosistémicos, Ministerio de Ambiente, Ministerio de Ambiente, Uruguay; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Fac. Ciencias, Instituto de Ecología y Ciencias Ambientales, UdelaR, Montevideo, Uruguay; IFEVA-Fac. Agronomía, Universidad de Buenos Aires & CONICET, Buenos Aires, Argentina; SANTIAGO BAEZA, Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay. |
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Título : |
Patterns and drivers of alien plant invasion in Uruguayan grasslands. |
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Complemento del título : |
Special Issue: Invasions in plant communities. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
Journal of Vegetation Science, September/October 2024, Volume 35, Issue 5, e13306. https://doi.org/10.1111/jvs.13306 |
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ISSN : |
1100-9233 |
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DOI : |
10.1111/jvs.13306 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 14 December 2023, Revised 29 June 2024, Accepted 20 August 2024. -- Correspondence: Guido, A.; Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay; email:aguido@fcien.edu.uy --
Co-ordinating Editor: Milan Chytrý. -- Funding: Instituto Nacional de Investigación Agropecuaria; Agencia Nacional de Investigación e Innovación; Comisión Sectorial de Investigación Científica. -- This article is a part of the Special Issue Biological Invasions in Plant Communities, edited by Viktoria Wagner, Marta Carboni, Kwek Yan Chong, Milan Chytrý and Anaclara Guido. -- |
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Contenido : |
ABSTRACT.- Question: Understanding the patterns of alien plant invasions and their underlying drivers is a key step in conserving the remaining native grasslands of Uruguay. We addressed the level of invasion by considering the four invasive alien plants of these ecosystems, Cynodon dactylon, Eragrostis plana, Senecio madagascariensis and Ulex europaeus, throughout the country. Location: Remnant native grasslands of Uruguay, constituting part of the Río de la Plata grasslands. Methods: Extensive fieldwork was carried out over five years of data collection, including hierarchically randomized observations (around 2000) nested in 137 10 × 10-km2 squares covering different geomorphological regions. For each invasive alien species, we constructed distribution maps to show their patterns; for the two most abundant, we fitted models to identify the main explanatory variables at different spatial scales. Results: We found that 77% of the squares were invaded by at least one target species. The level of invasion varied between regions and target plants. The most abundant invasive alien species were Cynodon dactylon and Senecio madagascariensis; while Eragrostis plana and Ulex europaeus were scarce. Cynodon dactylon cover was related to a set of variables at different spatial scales, including climate, topography and several local community descriptors. Senecio madagascariensis cover was positively associated with grassland fragmentation and anthropic disturbance at the landscape, and a few local descriptors. Conclusions: The large sampling effort at the country level, with a randomized design, allowed for a reliable assessment of the level of invasion of Uruguayan grasslands and its possible drivers. This is an important step in the design of policies to conserve Uruguay's remaining native grasslands. We suggest that the prevention should focus on the Basaltic Cuestas region, while control and containment should prioritize the eastern and south-central parts of the country, focusing mainly on Cynodon dactylon management. © 2024 International Association for Vegetation Science. MenosABSTRACT.- Question: Understanding the patterns of alien plant invasions and their underlying drivers is a key step in conserving the remaining native grasslands of Uruguay. We addressed the level of invasion by considering the four invasive alien plants of these ecosystems, Cynodon dactylon, Eragrostis plana, Senecio madagascariensis and Ulex europaeus, throughout the country. Location: Remnant native grasslands of Uruguay, constituting part of the Río de la Plata grasslands. Methods: Extensive fieldwork was carried out over five years of data collection, including hierarchically randomized observations (around 2000) nested in 137 10 × 10-km2 squares covering different geomorphological regions. For each invasive alien species, we constructed distribution maps to show their patterns; for the two most abundant, we fitted models to identify the main explanatory variables at different spatial scales. Results: We found that 77% of the squares were invaded by at least one target species. The level of invasion varied between regions and target plants. The most abundant invasive alien species were Cynodon dactylon and Senecio madagascariensis; while Eragrostis plana and Ulex europaeus were scarce. Cynodon dactylon cover was related to a set of variables at different spatial scales, including climate, topography and several local community descriptors. Senecio madagascariensis cover was positively associated with grassland fragmentation and anthropic disturbance at the landscape, an... Presentar Todo |
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Palabras claves : |
Alien species; Biological invasions; Exotic species; Invasibility; Invasion pattern; Invasive species; Río de la Plata grasslands. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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Marc : |
LEADER 03682naa a2200313 a 4500
001 1064908
005 2024-11-04
008 2024 bl uuuu u00u1 u #d
022 $a1100-9233
024 7 $a10.1111/jvs.13306$2DOI
100 1 $aGUIDO, A. C.
245 $aPatterns and drivers of alien plant invasion in Uruguayan grasslands.$h[electronic resource]
260 $c2024
500 $aArticle history: Received 14 December 2023, Revised 29 June 2024, Accepted 20 August 2024. -- Correspondence: Guido, A.; Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay; email:aguido@fcien.edu.uy -- Co-ordinating Editor: Milan Chytrý. -- Funding: Instituto Nacional de Investigación Agropecuaria; Agencia Nacional de Investigación e Innovación; Comisión Sectorial de Investigación Científica. -- This article is a part of the Special Issue Biological Invasions in Plant Communities, edited by Viktoria Wagner, Marta Carboni, Kwek Yan Chong, Milan Chytrý and Anaclara Guido. --
520 $aABSTRACT.- Question: Understanding the patterns of alien plant invasions and their underlying drivers is a key step in conserving the remaining native grasslands of Uruguay. We addressed the level of invasion by considering the four invasive alien plants of these ecosystems, Cynodon dactylon, Eragrostis plana, Senecio madagascariensis and Ulex europaeus, throughout the country. Location: Remnant native grasslands of Uruguay, constituting part of the Río de la Plata grasslands. Methods: Extensive fieldwork was carried out over five years of data collection, including hierarchically randomized observations (around 2000) nested in 137 10 × 10-km2 squares covering different geomorphological regions. For each invasive alien species, we constructed distribution maps to show their patterns; for the two most abundant, we fitted models to identify the main explanatory variables at different spatial scales. Results: We found that 77% of the squares were invaded by at least one target species. The level of invasion varied between regions and target plants. The most abundant invasive alien species were Cynodon dactylon and Senecio madagascariensis; while Eragrostis plana and Ulex europaeus were scarce. Cynodon dactylon cover was related to a set of variables at different spatial scales, including climate, topography and several local community descriptors. Senecio madagascariensis cover was positively associated with grassland fragmentation and anthropic disturbance at the landscape, and a few local descriptors. Conclusions: The large sampling effort at the country level, with a randomized design, allowed for a reliable assessment of the level of invasion of Uruguayan grasslands and its possible drivers. This is an important step in the design of policies to conserve Uruguay's remaining native grasslands. We suggest that the prevention should focus on the Basaltic Cuestas region, while control and containment should prioritize the eastern and south-central parts of the country, focusing mainly on Cynodon dactylon management. © 2024 International Association for Vegetation Science.
653 $aAlien species
653 $aBiological invasions
653 $aExotic species
653 $aInvasibility
653 $aInvasion pattern
653 $aInvasive species
653 $aRío de la Plata grasslands
700 1 $aALTESOR, A.
700 1 $aCAYSSIALS, V.
700 1 $aLEZAMA, F.
700 1 $aMELLO, A. L.
700 1 $aPARUELO, J.
700 1 $aBAEZA, S.
773 $tJournal of Vegetation Science, September/October 2024, Volume 35, Issue 5, e13306. https://doi.org/10.1111/jvs.13306
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