Forecasting forest-related political decisions in a climate-constrained world – The remuneration of forest ecosystem services in Germany

IF 4 2区农林科学 Q1 ECONOMICS

Forest Policy and Economics Pub Date : 2024-08-29 DOI:10.1016/j.forpol.2024.103231

Detlef F. Sprinz , Tabea V. Schaefers , Freya Lenk , Max Krott

引用次数: 0

Abstract

Political systems are under increasing pressures to respond to the impacts of climate change. We employ a numerical policy negotiation forecast model and apply it to forest-related political decisions on remunerating forest ecosystem services. Our results predict that German forest carbon sinks will be partially remunerated by government payment systems as will nature conservation efforts and climate resilient forest management. Our predictions indicate that there is substantial remaining upward pressure on each of these issues to go beyond present regulations.

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预测气候受限世界中与森林有关的政治决策 - 德国森林生态系统服务的报酬

政治系统在应对气候变化影响方面面临着越来越大的压力。我们采用了一个数字政策谈判预测模型，并将其应用于与森林有关的森林生态系统服务补偿政治决策。我们的结果预测，德国森林碳汇将通过政府支付系统获得部分补偿，自然保护工作和气候适应性森林管理也将如此。我们的预测结果表明，在这些问题上仍然存在很大的上升压力，需要超越现有的规定。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Forest Policy and Economics 农林科学-林学

CiteScore

9.00

自引率

7.50%

发文量

148

审稿时长

21.9 weeks

期刊介绍： Forest Policy and Economics is a leading scientific journal that publishes peer-reviewed policy and economics research relating to forests, forested landscapes, forest-related industries, and other forest-relevant land uses. It also welcomes contributions from other social sciences and humanities perspectives that make clear theoretical, conceptual and methodological contributions to the existing state-of-the-art literature on forests and related land use systems. These disciplines include, but are not limited to, sociology, anthropology, human geography, history, jurisprudence, planning, development studies, and psychology research on forests. Forest Policy and Economics is global in scope and publishes multiple article types of high scientific standard. Acceptance for publication is subject to a double-blind peer-review process.