Fragmentation analysis on grasslands of the flooding pampa (Argentina)

The “pajonal” is a typical grassland of the central region of Buenos Aires, a province of Argentina, being dominated by Paspalum quadrifarium, a tall-t ussock grass. During the past five centuries, this grassland has been used as a feeding resource for domestic cattle. This traditional usage, which is often accompanied by the practice of periodic burning, gives way to impacts on various aspects of ecosystem structure and dynamics at different scales. Remote sensing has proved to be a powerful tool able to monitor land cover changes at regional scale and assess landscape fragmentation. This work was carried out in the central region of the original distribution of “pajonal” in the Flooding Pampa of Buenos Aires province. A Landsat TM image, radiometrically and atmospherically calibrated, was used. The supervised classification of the reconstructed images was done by the maximum likelihood method. Assessment of landscape structure by spatial metrics of “pajonal” grassland was performed by FRAGSTATS 4 .1 computer programme. Classification was accomplished with a very good accuracy, and evaluation of key metrics allowed the identification of a gradient related to the “pajonal” conservation condition.

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Main Authors: Lara, Bruno, Gandini, M
Format: Digital revista
Language:spa
Published: Facultad de Agronomía 2018
Online Access:https://cerac.unlpam.edu.ar/index.php/semiarida/article/view/3020
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spelling oai:ojs.cerac.unlpam.edu.ar:article30202023-11-28T14:36:25Z Fragmentation analysis on grasslands of the flooding pampa (Argentina) Análisis de la fragmentación de pastizales en la pampa deprimida (Argentina) Lara, Bruno Gandini, M principal component analysis supervised classification Paspalum quadrifarium remote sensing landscape FRAGSTATS análisis de componentes principales clasificación supervisada Paspalum quadrifarium teledetección paisaje FRAGSTATS The “pajonal” is a typical grassland of the central region of Buenos Aires, a province of Argentina, being dominated by Paspalum quadrifarium, a tall-t ussock grass. During the past five centuries, this grassland has been used as a feeding resource for domestic cattle. This traditional usage, which is often accompanied by the practice of periodic burning, gives way to impacts on various aspects of ecosystem structure and dynamics at different scales. Remote sensing has proved to be a powerful tool able to monitor land cover changes at regional scale and assess landscape fragmentation. This work was carried out in the central region of the original distribution of “pajonal” in the Flooding Pampa of Buenos Aires province. A Landsat TM image, radiometrically and atmospherically calibrated, was used. The supervised classification of the reconstructed images was done by the maximum likelihood method. Assessment of landscape structure by spatial metrics of “pajonal” grassland was performed by FRAGSTATS 4 .1 computer programme. Classification was accomplished with a very good accuracy, and evaluation of key metrics allowed the identification of a gradient related to the “pajonal” conservation condition. Un pastizal típico de la zona central de la provincia de Buenos Aires es el pajonal de paja colorada (Paspalum quadrifarium). Durante los últimos cinco siglos, este pastizal ha sido históricamente utilizado como fuente forrajera para el ganado doméstico. Este uso tradicional, a menudo acompañado por quemas periódicas, impacta directamente en diversos aspectos de la estructura y dinámica del ecosistema a diferentes escalas. La teledetección ha mostrado ser una herramienta poderosa capaz de monitorear los cambios de cobertura a escala regional y evaluar la fragmentación del paisaje. El trabajo se llevó a cabo en la región central de la distribución original del pajonal, situada en la Pampa Deprimida, en la provincia de Buenos Aires (Argentina). Se utilizó una imagen Landsat TM, calibrada y clasificada según el criterio de máxima verosimilitud. Posteriormente, se obtuvieron las principales métricas del pajonal con el software FRAGSTATS 4.1. Se obtuvo una muy buena precisión en la clasificación y la evaluación de las métricas permitió la identificación de un gradiente relacionado con el estado de conservación del pajonal. Facultad de Agronomía 2018-08-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://cerac.unlpam.edu.ar/index.php/semiarida/article/view/3020 Semiárida; Vol. 24 Núm. 1 (2014) 2408-4077 2362-4337 spa https://cerac.unlpam.edu.ar/index.php/semiarida/article/view/3020/2931 Derechos de autor 2018 Bruno Lara, M Gandini
institution UNLPam
collection OJS
country Argentina
countrycode AR
component Revista
access En linea
databasecode rev-semiarida
tag revista
region America del Sur
libraryname Biblioteca de la Facultad de Agronomía 'Eduardo Cano'
language spa
format Digital
author Lara, Bruno
Gandini, M
spellingShingle Lara, Bruno
Gandini, M
Fragmentation analysis on grasslands of the flooding pampa (Argentina)
author_facet Lara, Bruno
Gandini, M
author_sort Lara, Bruno
title Fragmentation analysis on grasslands of the flooding pampa (Argentina)
title_short Fragmentation analysis on grasslands of the flooding pampa (Argentina)
title_full Fragmentation analysis on grasslands of the flooding pampa (Argentina)
title_fullStr Fragmentation analysis on grasslands of the flooding pampa (Argentina)
title_full_unstemmed Fragmentation analysis on grasslands of the flooding pampa (Argentina)
title_sort fragmentation analysis on grasslands of the flooding pampa (argentina)
description The “pajonal” is a typical grassland of the central region of Buenos Aires, a province of Argentina, being dominated by Paspalum quadrifarium, a tall-t ussock grass. During the past five centuries, this grassland has been used as a feeding resource for domestic cattle. This traditional usage, which is often accompanied by the practice of periodic burning, gives way to impacts on various aspects of ecosystem structure and dynamics at different scales. Remote sensing has proved to be a powerful tool able to monitor land cover changes at regional scale and assess landscape fragmentation. This work was carried out in the central region of the original distribution of “pajonal” in the Flooding Pampa of Buenos Aires province. A Landsat TM image, radiometrically and atmospherically calibrated, was used. The supervised classification of the reconstructed images was done by the maximum likelihood method. Assessment of landscape structure by spatial metrics of “pajonal” grassland was performed by FRAGSTATS 4 .1 computer programme. Classification was accomplished with a very good accuracy, and evaluation of key metrics allowed the identification of a gradient related to the “pajonal” conservation condition.
publisher Facultad de Agronomía
publishDate 2018
url https://cerac.unlpam.edu.ar/index.php/semiarida/article/view/3020
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AT gandinim fragmentationanalysisongrasslandsofthefloodingpampaargentina
AT larabruno analisisdelafragmentaciondepastizalesenlapampadeprimidaargentina
AT gandinim analisisdelafragmentaciondepastizalesenlapampadeprimidaargentina
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