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Updated: Jun 16, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
A framework for assessing ecosystem dynamics in response to chronic resource alterations induced by global change
Melinda D Smith1, Alan K Knapp, Scott L Collins
1Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06520, USA. Melinda.smith@yale.edu
Global changes like increased CO2 cause chronic resource alterations, requiring a new hierarchical-response framework (HRF) to predict ecological shifts. This framework tracks changes from individual responses to species loss for better ecosystem forecasting.
Area of Science:
- Ecology
- Environmental Science
- Global Change Biology
Background:
- Global changes, including elevated CO2 and nitrogen deposition, induce chronic resource alterations, unlike pulse disturbances.
- Existing disturbance-based ecological frameworks are insufficient for predicting responses to these ongoing changes.
Purpose of the Study:
- To present a conceptual framework, the hierarchical-response framework (HRF), for assessing ecological change under chronic resource alterations.
- To provide a theoretical basis for testing hypotheses on ecosystem dynamics and sensitivity to global change drivers.
Main Methods:
- The HRF organizes ecological change mechanisms into a temporal hierarchy: individual (physiological/metabolic) responses, community species reordering, and species loss/immigration.
- It links these mechanisms to ecosystem attributes like species longevity, biogeochemical cycling rates, biodiversity, and trophic complexity.
Main Results:
- The HRF predicts nonlinear changes in ecosystem dynamics.
- It suggests that ecosystem sensitivity varies based on inherent attributes and interactions with natural disturbances and other global change drivers.
- The framework is designed for comparative analysis across ecosystems to understand differential sensitivities.
Conclusions:
- The HRF offers a robust approach to forecasting contemporary and future ecosystem dynamics under chronic environmental change.
- It can guide the design of coordinated, cross-site experiments for more reliable ecological predictions.
- Understanding these hierarchical responses is crucial for managing ecosystems facing global change.
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