Research needs for understanding and predicting the behavior of managed ecosystems: Lessons from the study of agroecosystems

John M. Antle, Susan M. Capalbo, Edward T. Elliott, H. William Hunt, Siân Mooney, Keith H. Paustian

Research output: Contribution to journalArticle

43 Scopus citations

Abstract

Managed ecosystems are complex, dynamic systems with spatially varying inputs and outputs that are the result of interrelated physical, biological, and human decision-making processes. To gain an adequate understanding of these systems and predict their behavior, we believe that it is necessary to move beyond stylized theoretical models and loosely coupled disciplinary simulation models to what we describe as "fully integrated models." Herein we present a conceptual framework for a more integrated approach to the study of managed ecosystems using the example of agricultural ecosystems. We then propose the implementation of a research agenda that fosters coordinated disciplinary research aimed at a better understanding and quantification of linkages across disciplinary models. Key research issues include the effects of spatial scale, the assessment of uncertainty in coupled models, and methods for collecting and analyzing spatially referenced data.

Original languageEnglish (US)
Pages (from-to)723-735
Number of pages13
JournalEcosystems
Volume4
Issue number8
DOIs
StatePublished - Dec 1 2001

Keywords

  • Agroecosystems
  • Economics
  • Managed ecosystems
  • Prediction
  • Simulation models

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Environmental Chemistry
  • Ecology

Fingerprint Dive into the research topics of 'Research needs for understanding and predicting the behavior of managed ecosystems: Lessons from the study of agroecosystems'. Together they form a unique fingerprint.

  • Cite this