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Inoculation Strategies to Infect Plant Roots with Soil-Borne Microorganisms
Published on: March 1, 2022
A framework to integrate innovations in invasion science for proactive management.
Charles B van Rees1, Brian K Hand1, Sean C Carter2
1Flathead Lake Biological Station, University of Montana, 32125 Bio Station Lane, Polson, MT, 59860, U.S.A.
Invasive alien species threaten biodiversity and economies. This review synthesizes new technologies and methods to accelerate research and management, creating a framework for proactive invasion biology.
Area of Science:
- Ecology
- Environmental Science
- Conservation Biology
Background:
- Invasive alien species (IAS) pose significant threats to biodiversity, national security, and economies, costing billions annually.
- Climate change exacerbates the impact and spread of IAS, necessitating proactive management strategies.
- Current innovation in IAS research and management tools outpaces implementation and coordination.
Purpose of the Study:
- To synthesize technological and methodological advances for IAS research and management.
- To bridge the implementation gap by integrating diverse scientific approaches.
- To present a generalized framework for actionable science in invasion biology.
Main Methods:
- Review of advances in remote sensing, epidemiology, big data analytics, environmental DNA (eDNA), and genomics.
- Development of an integrated workflow for distilling data into actionable products.
- Focus on interdisciplinary collaboration and synergy.
Main Results:
- Identification of diverse technologies and approaches with potential to accelerate IAS research.
- Presentation of a generalized framework for proactive IAS management.
- Demonstration of the utility of synthesizing work from various fields.
Conclusions:
- Urgent need for technological and methodological syntheses to address the IAS crisis.
- An integrated workflow can facilitate coordinated, synergistic, and scalable contributions to invasion biology.
- Actionable science derived from diverse data sources is crucial for effective IAS management.
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