Combining community resurvey data to advance global change research

Area of Science:

• Ecology
• Environmental Science
• Community Ecology

Background:

• Ecologists increasingly resurvey historical sites to detect long-term ecological changes.
• Understanding drivers of ecological shifts requires analyzing data across broad environmental gradients.
• Joint analyses of resurvey data are crucial for assessing multiple interacting drivers.

Purpose of the Study:

• To illustrate the benefits of combining resurvey data from multiple regions.
• To demonstrate how multi-region designs can improve driver-orthogonality and data representativeness.
• To provide guidelines for developing multi-region resurvey databases for global environmental change research.

Main Methods:

• Synthesizing resurvey data from multiple geographically distinct regions.
• Analyzing ecological community composition changes over time across environmental gradients.
• Developing a framework for joint analyses of multi-region resurvey data.

Main Results:

• Combining resurvey data from multiple regions increases the likelihood of driver-orthogonality.
• Multi-region resurveys offer higher representativeness and comprehensiveness for ecological studies.
• This approach allows for more complete answers to a broader range of ecological questions.

Conclusions:

• Multi-region resurvey databases are essential for advancing global environmental change research.
• Developing such databases will enhance our ability to understand and predict ecological responses to environmental change.
• The study provides a roadmap for establishing and utilizing these valuable ecological datasets.