Derivation of a GIS-based watershed-scale conceptual model for the St. Jones River Delaware from habitat-scale conceptual models

Reiter, Michael A.; Saintil, Max; Yang, Ziming; Pokrajac, Dragoljub

doi:10.1016/j.jenvman.2009.04.018

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…In this work, we provide in-depth studies of the first and the last aspects. According to this, conceptual modeling is a useful methodology not only when there is an urgent need to qualitatively understand how an agroecosystem operates (Reiter et al 2009), but also to analyze how they are affected by human practices. To the best of our knowledge, this is the first study in which a conceptual network representing Pampean agroecosystems in terms of their ES provision is shown.…”

Section: Discussionmentioning

confidence: 99%

Ecosystem Services Provided by Agroecosystems: A Qualitative and Quantitative Assessment of this Relationship in the Pampa Region, Argentina

Rositano

Ferraro

2013

Environmental Management

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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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Section: Discussionmentioning

confidence: 99%