Given the drastic changes in the environment, resilience is a key focus of ecosystem management. Yet, the quantification of the different dimensions of resilience remains challenging, particularly for long-lived systems such as forests. Here we present an analytical framework to study the economic resilience of different forest management systems, focusing on the rate of economic recovery after severe disturbance. Our framework quantifies the post-disturbance gain in the present value of a forest relative to a benchmark system as an indicator of economic resilience. Forest values and silvicultural interventions were determined endogenously from an optimization model and account for risks affecting tree survival. We consider the effects of differences in forest structure and tree growth post disturbance on economic resilience. We demonstrate our approach by comparing the economic resilience of continuous cover forestry against a clear fell system for typical conditions in Central Europe. Continuous cover forestry had both higher economic return and higher economic resilience than the clear fell system. The economic recovery from disturbance in the continuous cover system was between 18.2 and 51.5% faster than in the clear fell system, resulting in present value gains of between 1733 and 4535 € ha. The advantage of the continuous cover system increased with discount rate and stand age, and was driven by differences in both stand structure and economic return. We conclude that continuous cover systems can help to address the economic impacts of increasing disturbances in forest management.
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http://dx.doi.org/10.1007/s10640-022-00719-5 | DOI Listing |
Sci Rep
January 2025
College of Architecture and Urban Planning, Guizhou University, Guiyang, 550025, China.
Karst small towns globally face challenges due to limited disaster-resilient resources, making it difficult to handle increasingly severe disaster environments. Improving the efficiency of disaster-resilient resource utilization and maintaining a tight balance state of disaster-resilient resources (TBS) are crucial for enhancing disaster adaptability and resilience. This study used urban and disaster data from a representative karst region in China (2017-2021) to conduct a quantitative analysis of TBS in karst small towns, exploring the mechanisms and interactions within this state and identifying obstacle factors.
View Article and Find Full Text PDFNat Food
January 2025
Department of Global Development, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, USA.
Food systems require urgent transformation towards social and ecological sustainability. Degrowth posits a radical pathway of transformation to reduce ecological impacts while increasing well-being and reducing inequality. Here we highlight that degrowth and food systems-albeit both linked to transformation-are not well integrated.
View Article and Find Full Text PDFBMJ Open
January 2025
O'Donnell School of Public Health, UT Southwestern Medical Center, Dallas, Texas, USA
Introduction: Linking patients living with chronic, diet-related diseases and food insecurity to charitable food assistance, medically tailored groceries (MTGs) and food resource coaching may empower patients to better manage their health in a way that is economically sustainable. This protocol paper describes the implementation of a study evaluating MTGs and food resource coaching in a food pantry setting.
Methods And Analysis: A randomised controlled trial whereby patients of a safety-net health centre will be screened for The Emergency Food Assistance Program (TEFAP) and study eligibility.
BMJ Open
January 2025
Graduate School of Communication Arts and Management Innovation, National Institute of Development Administration, Bangkok, Thailand.
Objective: This qualitative study sought to understand how sufficient economy philosophy (SEP) was applied to cope with and recover from the COVID-19 pandemic.
Design: A qualitative study conducted through focus group discussions.
Participants: 19 focus groups, with 161 participants, selected for the diverse backgrounds in gender, profession, education and region (urban/rural) and different levels of impact from the pandemic.
J Environ Manage
January 2025
Department of Economics and Management, School of Business and Administration, and Resilience, Setúbal Polytechnic University, Setúbal, Portugal. Electronic address:
The rapid advancement of Artificial Intelligence (AI) presents unprecedented opportunities for participatory environmental management. This paper explores the integration of AI technologies into participatory approaches, which engage diverse stakeholders in environmental decision-making processes. Using artificial intelligence, a corpus of 80 papers was compiled and subsequently analyzed with text mining tools.
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