Integrating Landscape Pattern into Characterising and Optimising Ecosystem Services for Regional Sustainable Development

Integrating Landscape Pattern into Characterising and Optimising Ecosystem Services for Regional Sustainable Development
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将景观格局融入生态系统服务表征和优化,促进区域可持续发展

DOI:
10.3390/land11010140
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发表时间:
2022-01
期刊:
影响因子:
3.9
通讯作者:
Zhang Y
Zhang Y
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Li YB;Zeng C;Liu ZX;Chai BQ;Zhang Y

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在快速城市化和大规模城市扩张背景下,人类受益于生态系统服务(ES),并深刻影响生态系统,特别是在景观层面。然而,景观格局的影响,子ES的驱动机制和空间明确的区域优化,在很大程度上被忽视。为此,本文以武汉城市群为例,探讨了生态系统、景观格局、城市收入和农业产出之间的关系,以及生态系统最优值(ESV)的区域治理。采用调查法得到土地利用和生态系统服务功能调整量矩阵。以社会经济指标和景观格局指数为解释变量,对食物供给、气候调节和土壤保持等生态系统进行空间回归分析。最后,对每个子ESV进行地理加权回归和情景分析,以生成每个县ESV调节的调整系数。结果表明,城镇居民人均可支配收入和农业产值对ESV变化的贡献显著,前者为负,后者为正。高度聚集的景观也会降低ESV,特别是在土壤保持和气体和气候调节方面。我们总结了2020年及调整后不同行政县的ESV。当试图将景观聚集格局降低1%时,供应、调节和文化生态系统效益大幅增加。一般而言,县和县级市的生态系统价值最大,食物供给是最佳生态系统效益。首都地区在提供和管理方面表现出巨大的增长,县级城市在文化服务方面表现出最高的增长率。将景观格局纳入生态系统的表征和优化,为区域土地利用规划和社会经济发展的治理提供参考,这对区域可持续发展至关重要。
Humans benefit from ecosystem services (ES) and profoundly influence the ecosystem in rapid urbanisation and large-scale urban sprawl contexts, especially at the landscape level. However, the impacts of landscape pattern, the driving mechanism of sub-ES and the spatially explicit regional optimisation, have been largely ignored. In response, to the present paper explores two primary aspects: the relationship among ES, landscape pattern, urban income and agricultural output, and the regional governance of optimised ES values (ESV), using the Wuhan urban agglomeration as a case study area. The survey method is employed in obtaining the adjusted magnitude matrix of land use and ecosystem services. Spatial regression analyses are conducted on each ES, including food provision, climate regulation and soil maintenance, with socio-economic indicators and landscape pattern index as explanatory variables. Finally, geographically weighted regression and scenario analyses are conducted on each sub-ESV to generate adjusted coefficients in each county for ESV regulation. The results show that urban per capita disposable income and agricultural output significantly contribute to ESV change, with the former being negative and the latter being positive. A highly aggregated landscape also produces reduced ESV, particularly in soil maintenance and gas and climate regulation. We summarise the ESV in 2020 and in the period after adjustment in different administrative counties. Provision, regulation and culture ecosystem benefits substantially increase when attempts are made to lower the landscape aggregation pattern by 1%. In general, counties and county-level cities have the largest ESV, with food provision as the optimum ecosystem benefit. Districts in the capital city show an immense growth in provision and regulation, and county-level cities show the highest growth rate in cultural service. Integrating the landscape pattern into characterising and optimising ES, provides references for regional governance on land-use planning and socio-economic development, which is vital to sustainable regional development.
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