Monitoring drylands: The MARAS system

Autores
Oliva, Gabriel Esteban; Bran, Donaldo Eduardo; Gaitan, Juan Jose; Ferrante, Daniela; Massara Paletto, Virginia; Garcia Martinez, Guillermo Carlos; Adema, Edgardo Osvaldo; Enrique, Mario Luis; Dominguez, Erwin; Paredes, Paula Natalia
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
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 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.
EEA Santa Cruz
Fil: Oliva, Gabriel Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina.
Fil: Bran, Donaldo Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Gaitan, Juan Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Ferrante, Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina
Fil: Massara Paletto, Virginia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; Argentina
Fil: Garcia Martinez, Guillermo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Esquel; Argentina
Fil: Adema, Edgardo Osvaldo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Enrique, Mario Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Valle Inferior; Argentina
Fil: Dominguez, Erwin. Instituto de Investigaciones Agropecuarias (INIA); Chile
Fil: Paredes, Paula Natalia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina.
Fuente
Journal of Arid Environments Available online 9 November 2018
Materia
Biodiversidad
Vegetación
Zona Arida
Tierras de Pastos
Suelo
Biodiversity
Vegetation
Arid Zones
Rangelands
Soil
Región Patagónica
Argentina
Chile
Regiones de Secano
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/3939

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oai_identifier_str oai:localhost:20.500.12123/3939
network_acronym_str INTADig
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network_name_str INTA Digital (INTA)
spelling Monitoring drylands: The MARAS systemOliva, Gabriel EstebanBran, Donaldo EduardoGaitan, Juan JoseFerrante, DanielaMassara Paletto, VirginiaGarcia Martinez, Guillermo CarlosAdema, Edgardo OsvaldoEnrique, Mario LuisDominguez, ErwinParedes, Paula NataliaBiodiversidadVegetaciónZona AridaTierras de PastosSueloBiodiversityVegetationArid ZonesRangelandsSoilRegión PatagónicaArgentinaChileRegiones de SecanoMARAS (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.EEA Santa CruzFil: Oliva, Gabriel Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina.Fil: Bran, Donaldo Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Gaitan, Juan Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaFil: Ferrante, Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; ArgentinaFil: Massara Paletto, Virginia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; ArgentinaFil: Garcia Martinez, Guillermo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Esquel; ArgentinaFil: Adema, Edgardo Osvaldo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; ArgentinaFil: Enrique, Mario Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Valle Inferior; ArgentinaFil: Dominguez, Erwin. Instituto de Investigaciones Agropecuarias (INIA); ChileFil: Paredes, Paula Natalia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina.Elsevierinfo:eu-repo/date/embargoEnd/2020-11-232018-11-21T14:38:00Z2018-11-21T14:38:00Z2018-11-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S0140196318319505?dgcid=rss_sd_allhttp://hdl.handle.net/20.500.12123/39390140-19631095-922Xhttps://doi.org/10.1016/j.jaridenv.2018.10.004Journal of Arid Environments Available online 9 November 2018reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:30Zoai:localhost:20.500.12123/3939instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:30.845INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Monitoring drylands: The MARAS system
title Monitoring drylands: The MARAS system
spellingShingle Monitoring drylands: The MARAS system
Oliva, Gabriel Esteban
Biodiversidad
Vegetación
Zona Arida
Tierras de Pastos
Suelo
Biodiversity
Vegetation
Arid Zones
Rangelands
Soil
Región Patagónica
Argentina
Chile
Regiones de Secano
title_short Monitoring drylands: The MARAS system
title_full Monitoring drylands: The MARAS system
title_fullStr Monitoring drylands: The MARAS system
title_full_unstemmed Monitoring drylands: The MARAS system
title_sort Monitoring drylands: The MARAS system
dc.creator.none.fl_str_mv Oliva, Gabriel Esteban
Bran, Donaldo Eduardo
Gaitan, Juan Jose
Ferrante, Daniela
Massara Paletto, Virginia
Garcia Martinez, Guillermo Carlos
Adema, Edgardo Osvaldo
Enrique, Mario Luis
Dominguez, Erwin
Paredes, Paula Natalia
author Oliva, Gabriel Esteban
author_facet Oliva, Gabriel Esteban
Bran, Donaldo Eduardo
Gaitan, Juan Jose
Ferrante, Daniela
Massara Paletto, Virginia
Garcia Martinez, Guillermo Carlos
Adema, Edgardo Osvaldo
Enrique, Mario Luis
Dominguez, Erwin
Paredes, Paula Natalia
author_role author
author2 Bran, Donaldo Eduardo
Gaitan, Juan Jose
Ferrante, Daniela
Massara Paletto, Virginia
Garcia Martinez, Guillermo Carlos
Adema, Edgardo Osvaldo
Enrique, Mario Luis
Dominguez, Erwin
Paredes, Paula Natalia
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Biodiversidad
Vegetación
Zona Arida
Tierras de Pastos
Suelo
Biodiversity
Vegetation
Arid Zones
Rangelands
Soil
Región Patagónica
Argentina
Chile
Regiones de Secano
topic Biodiversidad
Vegetación
Zona Arida
Tierras de Pastos
Suelo
Biodiversity
Vegetation
Arid Zones
Rangelands
Soil
Región Patagónica
Argentina
Chile
Regiones de Secano
dc.description.none.fl_txt_mv 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 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.
EEA Santa Cruz
Fil: Oliva, Gabriel Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina.
Fil: Bran, Donaldo Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Gaitan, Juan Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Ferrante, Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina
Fil: Massara Paletto, Virginia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; Argentina
Fil: Garcia Martinez, Guillermo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Esquel; Argentina
Fil: Adema, Edgardo Osvaldo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Enrique, Mario Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Valle Inferior; Argentina
Fil: Dominguez, Erwin. Instituto de Investigaciones Agropecuarias (INIA); Chile
Fil: Paredes, Paula Natalia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina.
description 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 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-21T14:38:00Z
2018-11-21T14:38:00Z
2018-11-09
info:eu-repo/date/embargoEnd/2020-11-23
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0140196318319505?dgcid=rss_sd_all
http://hdl.handle.net/20.500.12123/3939
0140-1963
1095-922X
https://doi.org/10.1016/j.jaridenv.2018.10.004
url https://www.sciencedirect.com/science/article/pii/S0140196318319505?dgcid=rss_sd_all
http://hdl.handle.net/20.500.12123/3939
https://doi.org/10.1016/j.jaridenv.2018.10.004
identifier_str_mv 0140-1963
1095-922X
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Journal of Arid Environments Available online 9 November 2018
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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