|
|
|
| Page last updated: | |
| Contact: | Guillermo Podestá (gpodesta@rsmas.miami.edu), Telephone:+1.305.421.4142 |
This page provides links to the science activities carried out in the context of the project "Understanding and Modeling the Scope for Adaptive Management in Agroecosystems in the Pampas in Response to Interannual and Decadal Climate Variability and Other Risk Factors", supported by the US National Science Foundation Biocomplexity in the Environment initiative.
1. Objectives
The project has seven major objectives:
-
Map key components of the decision landscape in agricultural production systems.
-
Build plausible scenarios of inter-annual and inter-decadal climate variability.
-
Assess impacts and outcomes of inter-annual and inter-decadal climate variability, and the scope for adaptive management in response to climate and other contextual factors.
-
Seek to understand how probabilistic climate information and uncertainty about outcomes are received and acted upon.
-
Explore best practices for the characterization of uncertainty, and the design and communication of climate information.
-
Explore environmental consequences of human decisions in agroecosystems.
-
Conduct self reflective analyses of factors that promote or impede integrated science research and outreach with stakeholder participation.
2. Project Justification
3. Background
This section contains some background on the study region, the Pampas of central-eastern Argentina. It contains (a) a description of the climate of the Pampas, including variability on interannual and interdecadal scales, (b) a discussion of the impacts of climate variability on the agricultural sector, and (c) the institutional context for the study, including a description of a non-profit farmers' association that has partnered with us for this project.
Read more background on the project...
This project evolved from an incubation effort funded by the NSF Biocomplexity in the Environment program (BE-CNH Incubation Award BCS-0119851) that yielded preliminary results and helped consolidate a diverse interdisciplinary team and develop partnerships with stakeholder groups.
Several elements of this project are distinctive:
A rich set of perspectives resulting from (a) linked modeling approaches for generation of climate scenarios and decision outcomes, (b) controlled experiments on decision-making and behavior, and (c) participatory research that will draw on contextual knowledge and stakeholders’ experiences and preferences;
The development of tools to support adaptive decision-making and learning by exploring outcomes from alternative actions in response to plausible climate scenarios on inter-annual and inter-decadal scales;
A strong focus on understanding the dynamics of human behavior and decisions, particularly with respect to the twin problems of choice and uncertainty in the context of a real-world complex natural/human system;
A probabilistic treatment of technical uncertainty integrally designed into the project;
A reflective analysis of the challenges of interdisciplinary, multiple-place collaboration and stakeholder involvement in integrative science, designed to encourage collective learning and stimulate theory development;
A diverse, yet cohesive and well-balanced team of investigators and outreach specialists that draws equally from a range of disciplines; and
The active involvement of farmers and operational producers of climate information that will ensure the relevance of the research and stakeholders’ ownership of the process, ultimately amplifying the project’s impact.
5. Project Results
See results from this project...
Next section: project objectives
|
Science Sections
|
|
 |
|
|
|
|
|
|
Results
|
 |
Home Page |