Ecosystem services provided by agroecosystems a qualitative and quantitative assessment of this relationship in the Pampa Region, Argentina

The development of an analytical framework relating agricultural conditions and ecosystem services [ES] provision could be very useful for developing land-use systems which sustain natural resources for future use. According to this, a conceptual network was developed, based on literature review and expert knowledge, about the functional relationships between agricultural management and ES provision in the Pampa region [Argentina]. We selected eight ES to develop this conceptual network: [1] carbon [C] balance, [2] nitrogen [N] balance, [3] groundwater contamination control, [4] soil water balance, [5] soil structural maintenance, [6] N2O emission control, [7] regulation of biotic adversities, and [8] biodiversity maintenance. This conceptual network revealed a high degree of interdependence among ES provided by Pampean agroecosystems, finding two trade-offs, and two synergies among them. Then, we analyzed the conceptual network structure, and found that both environmental and management variables influenced ES provision. Finally, we selected four ES to parameterize and quantify along 10 growing seasons [2000/2001-2009/2010] through a probabilistic methodology called Bayesian Networks. Only N balance was negatively impacted by agricultural management; while C balance, groundwater contamination control, and N2O emission control were not. Outcomes of our work emphasize the idea that qualitative and quantitative methodologies should be implemented together to assess ES provision in Pampean agroecosystems, as well as in other agricultural systems.

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Bibliographic Details
Main Authors: Rositano, Florencia, Ferraro, Diego Omar
Format: Texto biblioteca
Language:spa
Subjects:AGRICULTURAL MANAGEMENT, AGRICULTURE, AGRO-ECOSYSTEMS, AGROECOSYSTEM, AIR POLLUTION CONTROL, ARGENTINA, BAYES THEOREM, BAYESIAN NETWORKS, BENEFICIAL ORGANISM, BIODIVERSITY, BIOLOGICAL MODEL, CARBON, CARBON BALANCE, CHEMISTRY, CONCEPTUAL NETWORK, CONSERVATION OF NATURAL RESOURCES, CONTAMINATION, CONTROLLED STUDY, CROP PRODUCTION, DELPHI STUDY, DENITRIFICATION, ECOSYSTEM, ECOSYSTEM SERVICES, ECOSYSTEMS, EMISSION CONTROL, ENVIRONMENTAL PROTECTION, EVAPORATION, EXPERT ELICITATION, GROUND WATER, GROUNDWATER, GROUNDWATER CONTAMINATION, GROWING SEASON, HARVEST, LITERATURE REVIEW, LITERATURE REVIEWS, MAINTENANCE, MAIZE, METABOLISM, MODELS, BIOLOGICAL, NITROGEN, NITROGEN BALANCE, NITROGEN OXIDE, NITROUS OXIDE, NONHUMAN, PAMPEAN AGROECOSYSTEMS, PLANT RESIDUE, PROBABILISTIC METHODOLOGY, PROCEDURES, QUALITATIVE ANALYSIS, QUALITATIVE AND QUANTITATIVE ASSESSMENTS, QUANTITATIVE ANALYSIS, QUANTITATIVE METHODOLOGY, SOIL, SOIL FERTILIZATION, SOIL TEMPERATURE, SOIL WATER, SOYBEAN, SPECIES COMPOSITION, WATER CONTAMINATION, ,
Online Access:http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=47083
http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=
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Summary:The development of an analytical framework relating agricultural conditions and ecosystem services [ES] provision could be very useful for developing land-use systems which sustain natural resources for future use. According to this, a conceptual network was developed, based on literature review and expert knowledge, about the functional relationships between agricultural management and ES provision in the Pampa region [Argentina]. We selected eight ES to develop this conceptual network: [1] carbon [C] balance, [2] nitrogen [N] balance, [3] groundwater contamination control, [4] soil water balance, [5] soil structural maintenance, [6] N2O emission control, [7] regulation of biotic adversities, and [8] biodiversity maintenance. This conceptual network revealed a high degree of interdependence among ES provided by Pampean agroecosystems, finding two trade-offs, and two synergies among them. Then, we analyzed the conceptual network structure, and found that both environmental and management variables influenced ES provision. Finally, we selected four ES to parameterize and quantify along 10 growing seasons [2000/2001-2009/2010] through a probabilistic methodology called Bayesian Networks. Only N balance was negatively impacted by agricultural management; while C balance, groundwater contamination control, and N2O emission control were not. Outcomes of our work emphasize the idea that qualitative and quantitative methodologies should be implemented together to assess ES provision in Pampean agroecosystems, as well as in other agricultural systems.