Functional syndromes as indicators of ecosystem change in temperate grasslands

The lack of an organizing conceptual framework to address ecosystem changes reduces our capacity to distinguish biophysical from direct human impacts on grassland dynamics. This is particularly important for subhumid temperate grasslands, one of the world’s most threatened biomes. We identified and mapped 4 functional syndromes of grassland change at the wettest end of its worldwide distribution, the Campos in Uruguay. Syndromes were defined by differences in precipitation use efficiency (PUE, ANPP/precipitation), and in precipitation marginal response (PMR, slope of the linear regression between ANPP and precipitation) between two periods (1981–1995 and 2001–2011). Temporal trends in aboveground net primary production (ANPP, obtained by splicing two sources of NDVI, LTDR and MOD13Q1) were also characterized. To rule out the effect of precipitation we analyzed temporal trends of the residuals from the relationship between ANPP and annual precipitation (RESTRENDS). Functional syndromes associated with increases in seasonality or in the abundance of annual vegetation (ΔPMR greater than 0, ΔPUE less than 0, ∼14,000 km2) and vegetation cover loss (ΔPUE less than 0 and ΔPMR less than 0,greater than 5000 km2) were the most abundant. ANPP trends were significantly negative in 3.7% of the area (2475 km2) and only positive in 0.3%. However, RESTRENDS were significant in 11% of the area (greater than 7700 km2), and mostly negative (in ∼7200 km2). Most of these negative trends and residual trends were associated to seasonality increase and vegetation loss syndromes. These patterns were consistent with observed changes in the region. We highlight that this conceptual framework is suitable for describing patterns of change and potential causes. Moreover, it provides policymakers with a novel tool to guide management and conservation policies, pointing to sites where intervention (i.e. conservation, restoration) is needed.

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Main Authors: Texeira, Marcos, Verón, Santiago Ramón, Irisarri, Jorge Gonzalo Nicolás, Oyarzabal, Mariano, Staiano, Luciana, Baeza, Santiago, Paruelo, José María
Format: Texto biblioteca
Language:eng
Subjects:ABOVEGROUND NET PRIMARY PRODUCTION (ANPP), ECOSYSTEM FUNCTIONAL SYNDROMES, MODIS, LTDR, PRECIPITATION USE EFFICIENCY (PUE), PRECIPITATION MARGINAL RESPONSE (PMR), RIO DE LA PLATA GRASSLANDS, ,
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record_format koha
institution UBA FA
collection Koha
country Argentina
countrycode AR
component Bibliográfico
access En linea
En linea
databasecode cat-ceiba
tag biblioteca
region America del Sur
libraryname Biblioteca Central FAUBA
language eng
topic ABOVEGROUND NET PRIMARY PRODUCTION (ANPP)
ECOSYSTEM FUNCTIONAL SYNDROMES
MODIS
LTDR
PRECIPITATION USE EFFICIENCY (PUE)
PRECIPITATION MARGINAL RESPONSE (PMR)
RIO DE LA PLATA GRASSLANDS

ABOVEGROUND NET PRIMARY PRODUCTION (ANPP)
ECOSYSTEM FUNCTIONAL SYNDROMES
MODIS
LTDR
PRECIPITATION USE EFFICIENCY (PUE)
PRECIPITATION MARGINAL RESPONSE (PMR)
RIO DE LA PLATA GRASSLANDS
spellingShingle ABOVEGROUND NET PRIMARY PRODUCTION (ANPP)
ECOSYSTEM FUNCTIONAL SYNDROMES
MODIS
LTDR
PRECIPITATION USE EFFICIENCY (PUE)
PRECIPITATION MARGINAL RESPONSE (PMR)
RIO DE LA PLATA GRASSLANDS

ABOVEGROUND NET PRIMARY PRODUCTION (ANPP)
ECOSYSTEM FUNCTIONAL SYNDROMES
MODIS
LTDR
PRECIPITATION USE EFFICIENCY (PUE)
PRECIPITATION MARGINAL RESPONSE (PMR)
RIO DE LA PLATA GRASSLANDS
Texeira, Marcos
Verón, Santiago Ramón
Irisarri, Jorge Gonzalo Nicolás
Oyarzabal, Mariano
Staiano, Luciana
Baeza, Santiago
Paruelo, José María
Functional syndromes as indicators of ecosystem change in temperate grasslands
description The lack of an organizing conceptual framework to address ecosystem changes reduces our capacity to distinguish biophysical from direct human impacts on grassland dynamics. This is particularly important for subhumid temperate grasslands, one of the world’s most threatened biomes. We identified and mapped 4 functional syndromes of grassland change at the wettest end of its worldwide distribution, the Campos in Uruguay. Syndromes were defined by differences in precipitation use efficiency (PUE, ANPP/precipitation), and in precipitation marginal response (PMR, slope of the linear regression between ANPP and precipitation) between two periods (1981–1995 and 2001–2011). Temporal trends in aboveground net primary production (ANPP, obtained by splicing two sources of NDVI, LTDR and MOD13Q1) were also characterized. To rule out the effect of precipitation we analyzed temporal trends of the residuals from the relationship between ANPP and annual precipitation (RESTRENDS). Functional syndromes associated with increases in seasonality or in the abundance of annual vegetation (ΔPMR greater than 0, ΔPUE less than 0, ∼14,000 km2) and vegetation cover loss (ΔPUE less than 0 and ΔPMR less than 0,greater than 5000 km2) were the most abundant. ANPP trends were significantly negative in 3.7% of the area (2475 km2) and only positive in 0.3%. However, RESTRENDS were significant in 11% of the area (greater than 7700 km2), and mostly negative (in ∼7200 km2). Most of these negative trends and residual trends were associated to seasonality increase and vegetation loss syndromes. These patterns were consistent with observed changes in the region. We highlight that this conceptual framework is suitable for describing patterns of change and potential causes. Moreover, it provides policymakers with a novel tool to guide management and conservation policies, pointing to sites where intervention (i.e. conservation, restoration) is needed.
format Texto
topic_facet
ABOVEGROUND NET PRIMARY PRODUCTION (ANPP)
ECOSYSTEM FUNCTIONAL SYNDROMES
MODIS
LTDR
PRECIPITATION USE EFFICIENCY (PUE)
PRECIPITATION MARGINAL RESPONSE (PMR)
RIO DE LA PLATA GRASSLANDS
author Texeira, Marcos
Verón, Santiago Ramón
Irisarri, Jorge Gonzalo Nicolás
Oyarzabal, Mariano
Staiano, Luciana
Baeza, Santiago
Paruelo, José María
author_facet Texeira, Marcos
Verón, Santiago Ramón
Irisarri, Jorge Gonzalo Nicolás
Oyarzabal, Mariano
Staiano, Luciana
Baeza, Santiago
Paruelo, José María
author_sort Texeira, Marcos
title Functional syndromes as indicators of ecosystem change in temperate grasslands
title_short Functional syndromes as indicators of ecosystem change in temperate grasslands
title_full Functional syndromes as indicators of ecosystem change in temperate grasslands
title_fullStr Functional syndromes as indicators of ecosystem change in temperate grasslands
title_full_unstemmed Functional syndromes as indicators of ecosystem change in temperate grasslands
title_sort functional syndromes as indicators of ecosystem change in temperate grasslands
url http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=46076
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spelling KOHA-OAI-AGRO:460762023-12-05T11:12:22Zhttp://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=46076http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=AAGFunctional syndromes as indicators of ecosystem change in temperate grasslandsTexeira, MarcosVerón, Santiago RamónIrisarri, Jorge Gonzalo NicolásOyarzabal, MarianoStaiano, LucianaBaeza, SantiagoParuelo, José Maríatextengapplication/pdfThe lack of an organizing conceptual framework to address ecosystem changes reduces our capacity to distinguish biophysical from direct human impacts on grassland dynamics. This is particularly important for subhumid temperate grasslands, one of the world’s most threatened biomes. We identified and mapped 4 functional syndromes of grassland change at the wettest end of its worldwide distribution, the Campos in Uruguay. Syndromes were defined by differences in precipitation use efficiency (PUE, ANPP/precipitation), and in precipitation marginal response (PMR, slope of the linear regression between ANPP and precipitation) between two periods (1981–1995 and 2001–2011). Temporal trends in aboveground net primary production (ANPP, obtained by splicing two sources of NDVI, LTDR and MOD13Q1) were also characterized. To rule out the effect of precipitation we analyzed temporal trends of the residuals from the relationship between ANPP and annual precipitation (RESTRENDS). Functional syndromes associated with increases in seasonality or in the abundance of annual vegetation (ΔPMR greater than 0, ΔPUE less than 0, ∼14,000 km2) and vegetation cover loss (ΔPUE less than 0 and ΔPMR less than 0,greater than 5000 km2) were the most abundant. ANPP trends were significantly negative in 3.7% of the area (2475 km2) and only positive in 0.3%. However, RESTRENDS were significant in 11% of the area (greater than 7700 km2), and mostly negative (in ∼7200 km2). Most of these negative trends and residual trends were associated to seasonality increase and vegetation loss syndromes. These patterns were consistent with observed changes in the region. We highlight that this conceptual framework is suitable for describing patterns of change and potential causes. Moreover, it provides policymakers with a novel tool to guide management and conservation policies, pointing to sites where intervention (i.e. conservation, restoration) is needed.The lack of an organizing conceptual framework to address ecosystem changes reduces our capacity to distinguish biophysical from direct human impacts on grassland dynamics. This is particularly important for subhumid temperate grasslands, one of the world’s most threatened biomes. We identified and mapped 4 functional syndromes of grassland change at the wettest end of its worldwide distribution, the Campos in Uruguay. Syndromes were defined by differences in precipitation use efficiency (PUE, ANPP/precipitation), and in precipitation marginal response (PMR, slope of the linear regression between ANPP and precipitation) between two periods (1981–1995 and 2001–2011). Temporal trends in aboveground net primary production (ANPP, obtained by splicing two sources of NDVI, LTDR and MOD13Q1) were also characterized. To rule out the effect of precipitation we analyzed temporal trends of the residuals from the relationship between ANPP and annual precipitation (RESTRENDS). Functional syndromes associated with increases in seasonality or in the abundance of annual vegetation (ΔPMR greater than 0, ΔPUE less than 0, ∼14,000 km2) and vegetation cover loss (ΔPUE less than 0 and ΔPMR less than 0,greater than 5000 km2) were the most abundant. ANPP trends were significantly negative in 3.7% of the area (2475 km2) and only positive in 0.3%. However, RESTRENDS were significant in 11% of the area (greater than 7700 km2), and mostly negative (in ∼7200 km2). Most of these negative trends and residual trends were associated to seasonality increase and vegetation loss syndromes. These patterns were consistent with observed changes in the region. We highlight that this conceptual framework is suitable for describing patterns of change and potential causes. Moreover, it provides policymakers with a novel tool to guide management and conservation policies, pointing to sites where intervention (i.e. conservation, restoration) is needed.ABOVEGROUND NET PRIMARY PRODUCTION (ANPP)ECOSYSTEM FUNCTIONAL SYNDROMESMODISLTDRPRECIPITATION USE EFFICIENCY (PUE)PRECIPITATION MARGINAL RESPONSE (PMR)RIO DE LA PLATA GRASSLANDSEcological Indicators