Estimating co-extinction threats in terrestrial ecosystems.

Area of Science:

• Ecology
• Conservation Biology
• Network Theory

Background:

• Human activities are rapidly changing the biosphere, impacting species interactions and ecological communities.
• Current extinction-risk studies often overlook indirect effects, such as trophic cascades and co-extinction risks, focusing primarily on direct impacts of global change.
• Predicting indirect extinction effects is crucial for effective conservation, yet methods for real-world food webs are underdeveloped.

Purpose of the Study:

• To propose a novel framework for constructing ecological network models of terrestrial food webs.
• To apply these models to assess co-extinction risks triggered by environmental perturbations.
• To enhance the accuracy of predicting indirect effects of species extinctions on entire ecological communities.

Main Methods:

• Development of a framework for building ecological network models of terrestrial food webs.
• Simulation of co-extinction scenarios based on probable future environmental changes.
• Analysis of network structures to identify species vulnerable to co-extinction and those that may trigger cascades.

Main Results:

• The proposed framework enables the construction and analysis of real-world food web models.
• The study demonstrates the application of network modeling to predict co-extinction cascades.
• The approach identifies species at risk of co-extinction and those that could initiate such cascades.

Conclusions:

• The framework improves estimates of how environmental changes affect ecological communities.
• Identifying species at risk of co-extinction is vital for targeted conservation interventions.
• This approach helps reduce the probability of co-extinction cascades and subsequent biodiversity loss.