Enhancing the Long-Term Ecological Management and Monitoring of Landscapes: The L-TEAM Framework

Mystyn Mills (), Loralee Larios and Janet Franklin
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Mystyn Mills: Department of Geography, California State University Long Beach, 1250 Bellflower Blvd., Long Beach, CA 90840, USA
Loralee Larios: Department of Botany and Plant Sciences, University of California, Riverside 900 University Ave., Riverside, CA 92521, USA
Janet Franklin: Department of Botany and Plant Sciences, University of California, Riverside 900 University Ave., Riverside, CA 92521, USA

Land, 2023, vol. 12, issue 10, 1-17

Abstract: Long-term monitoring and adaptive ecological management are essential to the conservation of biodiversity. Yet, achieving successful long-term ecological monitoring and management, especially at the landscape level, has proven challenging. In this paper, we address the hurdles faced in sustaining long-term monitoring and management for landscape-scale efforts by offering three promising conceptual and methodological developments that support such initiatives. Then, we introduce L-TEAM, a long-term ecological adaptive monitoring and management framework that integrates those three components using four tools: a conceptual model, clearly defined and measurable objectives, scientifically robust experimentation, and decision support tools. Finally, using a case study, we demonstrate L-TEAM’s effectiveness in supporting the long-term monitoring and management of a landscape conservation project with diverse habitat types and multiple management objectives. This structured decision framework not only facilitates informed decision making in management practices, but also ensures the implementation of scientifically grounded long-term monitoring. Additionally, L-TEAM holds the potential to enhance our understanding of ecosystem functioning and biodiversity responses to disturbances and management actions.

Keywords: long-term ecological monitoring; adaptive monitoring; landscape conservation; ecological management; state-and-transition models (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:10:p:1942-:d:1263129

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