可持续桉树人工林的空间分区:通过生态系统服务供需匹配优化土地利用

IF 2.9 Q1 FORESTRY
Xiaoqing Zhao , Jiajia He , Shijie Zhou , Pei Huang , Junwei Pu , Yanlin Wang , Min Feng
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引用次数: 0

摘要

桉树的广泛引入改变了土地利用模式和生态系统服务(ES)。因此,了解生态系统服务供需关系对区域可持续发展至关重要。本研究以中国桉树重点种植区澜沧县为研究对象,采用土地利用变化分析、SDES评估、优化和分区相结合的框架。我们评估了生态系统的供需关系,分析了不同土地利用方式下的生态系统动态,模拟了自然发展和土地利用优化的最佳情景,并提出了加强生态系统协调性的分区策略。主要发现:(1)受大规模桉树引种的影响,澜沧江以森林和旱地为主,经历了显著的土地利用转变,特别是旱地向森林的转化(约50%)。(2) ES总体供大于求,但存在空间错配;SDES与土地利用的关系显著不同。(3)基于SDES关系和FLUS模型,将土地划分为保护发展区、优先转让区和限制转让区。优化确定了在分区规定下适合未来桉树种植的旱地、灌木地和未利用地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial zoning for sustainable eucalyptus plantations: Optimizing land use via ecosystem service supply-demand matching
Extensive eucalyptus introduction alters land use patterns and ecosystem services (ES). Understanding ecosystem service supply-demand (SDES) relationships is therefore crucial for regional sustainability. Focusing on Lancang County, a key eucalyptus planting area, this study employed a framework integrating land use change analysis, SDES assessment, optimization, and zoning. We evaluated ES supply/demand, analyzed SDES dynamics under different land uses, simulated natural development and optimal scenarios for land use optimization, and proposed zoning strategies to enhance SDES alignment. Key findings: (1) Dominated by forest and dry land, Lancang experienced significant land use shifts, notably dryland-to-forest conversions (∼50 %), heavily influenced by large-scale eucalyptus introduction. (2) Overall ES supply exceeded demand, but spatial mismatches existed; SDES relationships varied significantly with land use. (3) Based on SDES relationships and FLUS modeling, land was zoned into Conservation and Development, Priority Transfer, and Restricted Transfer areas. Optimization identified dry land, shrubland, and unused land as suitable for future eucalyptus cultivation under zoning regulations.
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来源期刊
Trees, Forests and People
Trees, Forests and People Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
4.30
自引率
7.40%
发文量
172
审稿时长
56 days
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