An exploration of direct and indirect drivers of herbivore reproductive performance in arid and semi arid rangelands by means of structural equation models

Climate variability affects both animal and plant populations. Understanding how this variability is modulated by topography, vegetation and population densities and how this impact on ungulate demography is an important step in order to forecast consequences of alternative management scenarios or the effects of climate change. Structural equation modeling [SEMs] is a tool particularly suited to this kind of situations, and allowed us to study the direct and indirect effects of climate, topography, structural and functional aspects of vegetation and population density upon reproductive performance of Patagonian sheep flocks, measured at paddock scale. The application of SEMs in conjunction with information criteria and related techniques for model selection, model averaging and multi-model inference revealed that despite considerable model uncertainty, those paddocks towards the East, with a greater spatial variability in July temperatures and greater primary production during fall-winter [estimated by remote sensing] showed greater lambing rates. Paddocks with higher proportion of meadows and with more intense forage consumption, were also associated with a better reproductive performance. Our results not only provide quantitative hypothesis about the controls at the landscape level of herbivore performance but also provide the basis to devise better management alternatives.

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Bibliographic Details
Main Authors: Texeira, Marcos, Baldi, Germán, Paruelo, José María
Format: Texto biblioteca
Language:eng
Subjects:PATAGONIA, REPRODUCTIVE PERFORMANCE, STRUCTURAL EQUATION MODELING, ARID REGION, CLIMATE CHANGE, DEMOGRAPHY, FORAGE, HERBIVORE, MEADOW, POPULATION DENSITY, PRIMARY PRODUCTION, QUANTITATIVE ANALYSIS, RANGELAND, REMOTE SENSING, REPRODUCTIVE PRODUCTIVITY, SEMIARID REGION, SHEEP, SPATIAL VARIATION, TOPOGRAPHY, VEGETATION STRUCTURE, ANIMALIA, OVIS ARIES, UNGULATA, ,
Online Access:http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=46498
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spelling KOHA-OAI-AGRO:464982023-05-16T09:50:57Zhttp://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=46498AAGAn exploration of direct and indirect drivers of herbivore reproductive performance in arid and semi arid rangelands by means of structural equation modelsTexeira, MarcosBaldi, GermánParuelo, José Maríatextengapplication/pdfClimate variability affects both animal and plant populations. Understanding how this variability is modulated by topography, vegetation and population densities and how this impact on ungulate demography is an important step in order to forecast consequences of alternative management scenarios or the effects of climate change. Structural equation modeling [SEMs] is a tool particularly suited to this kind of situations, and allowed us to study the direct and indirect effects of climate, topography, structural and functional aspects of vegetation and population density upon reproductive performance of Patagonian sheep flocks, measured at paddock scale. The application of SEMs in conjunction with information criteria and related techniques for model selection, model averaging and multi-model inference revealed that despite considerable model uncertainty, those paddocks towards the East, with a greater spatial variability in July temperatures and greater primary production during fall-winter [estimated by remote sensing] showed greater lambing rates. Paddocks with higher proportion of meadows and with more intense forage consumption, were also associated with a better reproductive performance. Our results not only provide quantitative hypothesis about the controls at the landscape level of herbivore performance but also provide the basis to devise better management alternatives.Climate variability affects both animal and plant populations. Understanding how this variability is modulated by topography, vegetation and population densities and how this impact on ungulate demography is an important step in order to forecast consequences of alternative management scenarios or the effects of climate change. Structural equation modeling [SEMs] is a tool particularly suited to this kind of situations, and allowed us to study the direct and indirect effects of climate, topography, structural and functional aspects of vegetation and population density upon reproductive performance of Patagonian sheep flocks, measured at paddock scale. The application of SEMs in conjunction with information criteria and related techniques for model selection, model averaging and multi-model inference revealed that despite considerable model uncertainty, those paddocks towards the East, with a greater spatial variability in July temperatures and greater primary production during fall-winter [estimated by remote sensing] showed greater lambing rates. Paddocks with higher proportion of meadows and with more intense forage consumption, were also associated with a better reproductive performance. Our results not only provide quantitative hypothesis about the controls at the landscape level of herbivore performance but also provide the basis to devise better management alternatives.PATAGONIAREPRODUCTIVE PERFORMANCESTRUCTURAL EQUATION MODELINGARID REGIONCLIMATE CHANGEDEMOGRAPHYFORAGEHERBIVOREMEADOWPOPULATION DENSITYPRIMARY PRODUCTIONQUANTITATIVE ANALYSISRANGELANDREMOTE SENSINGREPRODUCTIVE PRODUCTIVITYSEMIARID REGIONSHEEPSPATIAL VARIATIONTOPOGRAPHYVEGETATION STRUCTUREANIMALIAOVIS ARIESUNGULATAJournal of Arid Environments
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 PATAGONIA
REPRODUCTIVE PERFORMANCE
STRUCTURAL EQUATION MODELING
ARID REGION
CLIMATE CHANGE
DEMOGRAPHY
FORAGE
HERBIVORE
MEADOW
POPULATION DENSITY
PRIMARY PRODUCTION
QUANTITATIVE ANALYSIS
RANGELAND
REMOTE SENSING
REPRODUCTIVE PRODUCTIVITY
SEMIARID REGION
SHEEP
SPATIAL VARIATION
TOPOGRAPHY
VEGETATION STRUCTURE
ANIMALIA
OVIS ARIES
UNGULATA

PATAGONIA
REPRODUCTIVE PERFORMANCE
STRUCTURAL EQUATION MODELING
ARID REGION
CLIMATE CHANGE
DEMOGRAPHY
FORAGE
HERBIVORE
MEADOW
POPULATION DENSITY
PRIMARY PRODUCTION
QUANTITATIVE ANALYSIS
RANGELAND
REMOTE SENSING
REPRODUCTIVE PRODUCTIVITY
SEMIARID REGION
SHEEP
SPATIAL VARIATION
TOPOGRAPHY
VEGETATION STRUCTURE
ANIMALIA
OVIS ARIES
UNGULATA
spellingShingle PATAGONIA
REPRODUCTIVE PERFORMANCE
STRUCTURAL EQUATION MODELING
ARID REGION
CLIMATE CHANGE
DEMOGRAPHY
FORAGE
HERBIVORE
MEADOW
POPULATION DENSITY
PRIMARY PRODUCTION
QUANTITATIVE ANALYSIS
RANGELAND
REMOTE SENSING
REPRODUCTIVE PRODUCTIVITY
SEMIARID REGION
SHEEP
SPATIAL VARIATION
TOPOGRAPHY
VEGETATION STRUCTURE
ANIMALIA
OVIS ARIES
UNGULATA

PATAGONIA
REPRODUCTIVE PERFORMANCE
STRUCTURAL EQUATION MODELING
ARID REGION
CLIMATE CHANGE
DEMOGRAPHY
FORAGE
HERBIVORE
MEADOW
POPULATION DENSITY
PRIMARY PRODUCTION
QUANTITATIVE ANALYSIS
RANGELAND
REMOTE SENSING
REPRODUCTIVE PRODUCTIVITY
SEMIARID REGION
SHEEP
SPATIAL VARIATION
TOPOGRAPHY
VEGETATION STRUCTURE
ANIMALIA
OVIS ARIES
UNGULATA
Texeira, Marcos
Baldi, Germán
Paruelo, José María
An exploration of direct and indirect drivers of herbivore reproductive performance in arid and semi arid rangelands by means of structural equation models
description Climate variability affects both animal and plant populations. Understanding how this variability is modulated by topography, vegetation and population densities and how this impact on ungulate demography is an important step in order to forecast consequences of alternative management scenarios or the effects of climate change. Structural equation modeling [SEMs] is a tool particularly suited to this kind of situations, and allowed us to study the direct and indirect effects of climate, topography, structural and functional aspects of vegetation and population density upon reproductive performance of Patagonian sheep flocks, measured at paddock scale. The application of SEMs in conjunction with information criteria and related techniques for model selection, model averaging and multi-model inference revealed that despite considerable model uncertainty, those paddocks towards the East, with a greater spatial variability in July temperatures and greater primary production during fall-winter [estimated by remote sensing] showed greater lambing rates. Paddocks with higher proportion of meadows and with more intense forage consumption, were also associated with a better reproductive performance. Our results not only provide quantitative hypothesis about the controls at the landscape level of herbivore performance but also provide the basis to devise better management alternatives.
format Texto
topic_facet
PATAGONIA
REPRODUCTIVE PERFORMANCE
STRUCTURAL EQUATION MODELING
ARID REGION
CLIMATE CHANGE
DEMOGRAPHY
FORAGE
HERBIVORE
MEADOW
POPULATION DENSITY
PRIMARY PRODUCTION
QUANTITATIVE ANALYSIS
RANGELAND
REMOTE SENSING
REPRODUCTIVE PRODUCTIVITY
SEMIARID REGION
SHEEP
SPATIAL VARIATION
TOPOGRAPHY
VEGETATION STRUCTURE
ANIMALIA
OVIS ARIES
UNGULATA
author Texeira, Marcos
Baldi, Germán
Paruelo, José María
author_facet Texeira, Marcos
Baldi, Germán
Paruelo, José María
author_sort Texeira, Marcos
title An exploration of direct and indirect drivers of herbivore reproductive performance in arid and semi arid rangelands by means of structural equation models
title_short An exploration of direct and indirect drivers of herbivore reproductive performance in arid and semi arid rangelands by means of structural equation models
title_full An exploration of direct and indirect drivers of herbivore reproductive performance in arid and semi arid rangelands by means of structural equation models
title_fullStr An exploration of direct and indirect drivers of herbivore reproductive performance in arid and semi arid rangelands by means of structural equation models
title_full_unstemmed An exploration of direct and indirect drivers of herbivore reproductive performance in arid and semi arid rangelands by means of structural equation models
title_sort exploration of direct and indirect drivers of herbivore reproductive performance in arid and semi arid rangelands by means of structural equation models
url http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=46498
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