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resumen

Resumen
MARAS (Monitoring of Arid and Semiarid Regions) consists of 379 ground monitors in Patagonia, a 624.500 km2 semiarid area of southern Argentina and Chile. The objective of this paper was to describe the system and analyze four variables of the initial data base. Floristic composition, diversity and cover were analyzed with intercept lines (500 points). Patches (resource-sinks areas) and Interpatches (areas that loose resources) were described using Gap [ver mas...]
dc.contributor.authorOliva, Gabriel Esteban
dc.contributor.authorBran, Donaldo Eduardo
dc.contributor.authorGaitan, Juan Jose
dc.contributor.authorFerrante, Daniela
dc.contributor.authorMassara Paletto, Virginia
dc.contributor.authorGarcia Martinez, Guillermo Carlos
dc.contributor.authorAdema, Edgardo Osvaldo
dc.contributor.authorEnrique, Mario Luis
dc.contributor.authorDominguez, Erwin
dc.contributor.authorParedes, Paula Natalia
dc.dateinfo:eu-repo/date/embargoEnd/2020-11-23
dc.date.accessioned2018-11-21T14:38:00Z
dc.date.available2018-11-21T14:38:00Z
dc.date.issued2018-11-09
dc.identifier.issn0140-1963
dc.identifier.issn1095-922X
dc.identifier.otherhttps://doi.org/10.1016/j.jaridenv.2018.10.004
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0140196318319505?dgcid=rss_sd_all
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3939
dc.description.abstractMARAS (Monitoring of Arid and Semiarid Regions) consists of 379 ground monitors in Patagonia, a 624.500 km2 semiarid area of southern Argentina and Chile. The objective of this paper was to describe the system and analyze four variables of the initial data base. Floristic composition, diversity and cover were analyzed with intercept lines (500 points). Patches (resource-sinks areas) and Interpatches (areas that loose resources) were described using Gap intercept lines (50 m). Eleven Landscape Functional Analysis indicators were recorded in 10 interpatches: Soil stability, Infiltration and Nutrient cycling. Vegetation Cover was 43 ± 2%, Richness 15 ± 7 species/monitor, Interpatch Size 154 ± 134 cm and LFA Stability Index 46 ± 1%. Cover, Richness and Stability maps had bimodal distribution and maximum in S and NE areas, following rainfall gradients. Variability analysis shows that cover estimations are within 5% error at site and regional scales. Graphical analysis of single monitors shows observational biases in interpatch size and LFA Stability index. Richness estimations correlate significantly with α diversity (R2 = 0.80). Analysis of 5-year change in 115 monitors shows significant reductions in cover and interpatch length, especially N of the region. These base line evaluations enable analysis of future changes that were not possible with multiple techniques and isolated data bases.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_AR
dc.sourceJournal of Arid Environments Available online 9 November 2018es_AR
dc.subjectBiodiversidades_AR
dc.subjectBiodiversityeng
dc.subjectVegetaciónes_AR
dc.subjectVegetationeng
dc.subjectZona Aridaes_AR
dc.subjectArid Zoneseng
dc.subjectTierras de Pastoses_AR
dc.subjectRangelandseng
dc.subjectSueloes_AR
dc.subjectSoileng
dc.subject.otherRegión Patagónicaes_AR
dc.subject.otherArgentinaes_AR
dc.subject.otherChilees_AR
dc.subject.otherRegiones de Secanoes_AR
dc.titleMonitoring drylands: The MARAS systemes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/acceptedVersiones_AR
dc.description.origenEEA Santa Cruzes_AR
dc.description.filFil: Oliva, Gabriel Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina.es_AR
dc.description.filFil: Bran, Donaldo Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentinaes_AR
dc.description.filFil: Gaitan, Juan Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentinaes_AR
dc.description.filFil: Ferrante, Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentinaes_AR
dc.description.filFil: Massara Paletto, Virginia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; Argentinaes_AR
dc.description.filFil: Garcia Martinez, Guillermo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Esquel; Argentinaes_AR
dc.description.filFil: Adema, Edgardo Osvaldo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentinaes_AR
dc.description.filFil: Enrique, Mario Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Valle Inferior; Argentinaes_AR
dc.description.filFil: Dominguez, Erwin. Instituto de Investigaciones Agropecuarias (INIA); Chilees_AR
dc.description.filFil: Paredes, Paula Natalia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina.es_AR
dc.subtypecientifico


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