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Related Experiment Video

Updated: Mar 17, 2026

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Published on: June 7, 2024

Adaptive management for ecosystem services.

Hannah E Birgé¹, Craig R Allen², Ahjond S Garmestani³

¹Nebraska Cooperative Fish and Wildlife Research Unit, and School of Natural Resources, University of Nebraska, Lincoln, NE 68583, USA.

Journal of Environmental Management

|July 28, 2016

Summary

This summary is machine-generated.

Adaptive management helps navigate natural resource uncertainty for ecosystem services. This framework addresses cross-scale tradeoffs to ensure sustainable resource management for human well-being.

Keywords:

Complex systems Scale Social-ecological systems Structured decision making Sustainability Uncertainty

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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Published on: December 9, 2012

Area of Science:

Ecology
Environmental Management
Conservation Science

Background:

Natural resource management is crucial for ecosystem services, yet faces uncertainty due to complex system dynamics and incomplete understanding.
Uncertainty in ecosystem responses to management actions can hinder desired outcomes and impact human well-being.
Resilience theory highlights that critical ecological processes underpinning ecosystem services can be lost, leading to undesirable system shifts.

Purpose of the Study:

To present a framework for applying adaptive management to ecosystem services.
To explicitly account for cross-scale tradeoffs in ecosystem service production.
To provide a structured approach for managing natural resources under uncertainty.

Main Methods:

Developing a framework that identifies key spatiotemporal scales (plot, patch, ecosystem, landscape, region).
Integrating within- and cross-scale dynamics, ecosystem service tradeoffs, and management controllability.
Utilizing principles of resilience theory to understand system dynamics and potential state shifts.

Main Results:

The framework enables assessment of tradeoffs across various scales in ecosystem service provision.
It incorporates management controllability within and across identified spatiotemporal scales.
It provides a structured process for evaluating management actions and their impacts on ecosystem services.

Conclusions:

Adaptive management is essential for reducing uncertainty in natural resource management for ecosystem services.
The proposed framework aids in understanding and managing complex, cross-scale tradeoffs.
This approach supports sustainable resource management to meet human demands while maintaining ecosystem functions.