Moving restoration ecology forward with combinatorial approaches.

Area of Science:

• Ecology
• Environmental Science
• Conservation Biology

Background:

• The current planetary crisis involves multiple, interacting global change factors.
• Effective ecosystem restoration is crucial for mitigating environmental damage.
• Existing restoration practices need innovative approaches to address complex global challenges.

Purpose of the Study:

• To propose and conceptualize combinatorial approaches for ecosystem restoration.
• To explore the potential of high-dimensionality in restoration interventions.
• To leverage synergistic effects for more effective ecological recovery.

Main Methods:

• Drawing management practices randomly from a locally relevant pool of interventions.
• Combining diverse interventions to create an experimental gradient in application.
• Establishing regional restoration hubs for information and experimental exploration.

Main Results:

• The proposed method creates high-dimensionality in solutions to counter high-dimensionality in global change.
• Combinatorial approaches offer opportunities to discover unknown synergistic effects between interventions.
• Regional hubs facilitate local information management and experimental testing.

Conclusions:

• Combinatorial ecosystem restoration presents a promising strategy to address complex global environmental change.
• This approach can accelerate progress in ecological restoration to meet urgent timescales.
• A global database of restoration practices can refine future experimental designs and improve outcomes.