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首页> 外文期刊>Stochastic environmental research and risk assessment >Effects of land use cover change on carbon emissions and ecosystem services in Chengyu urban agglomeration, China
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Effects of land use cover change on carbon emissions and ecosystem services in Chengyu urban agglomeration, China

机译：土地利用涵盖变化对成都城市集群碳排放及生态系统服务的影响

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摘要

This study evaluates the spatial-temporal differences of carbon emissions and ecosystem survives value (ESV) induced by land use cover change in Chengyu urban agglomeration of China, during which uncertainties expressed as interval rough sets are integrated into the modeling framework. Results reveal that built-up land accounts for [88.62%, 99.64%] of total carbon emissions. Compared with other cities, the higher amount of carbon emissions occur in Chengdu and Chongqing, while the eastern region has a stronger carbon absorption capacity. Uncertainties in carbon-emission coefficient have significant effects on regional carbon emissions. With aid of interval-stochastic analysis for carbon emersions, it can help offset some of the mutual effects caused by differences between cities. The values of eco-carrying and carbon-emission coefficients are characterized as a feature of high to low from the east to west, and their highest values exist in Liangshan Yi Autonomous Prefecture. There are slight variations in the regional average ESVs during the periods from 2000 to 2015, but a high sensitive coefficient occurs in grassland that has a significant influence on the overall ESV. Generally, a high regional economic performance corresponds to a high amount of carbon emissions and a low ESV, but variations in the proportion of cultivated and forest lands have slight impacts on carbon emissions and ecosystem services. Policy implications indicate that switching from coal to shale gas might be regarded as a potential approach for carbon-emission reduction. Regional cooperation also is critical channel to promote regional green development of Chengyu urban agglomeration.
机译：本研究评估了中国成都市城市集聚的土地利用覆盖变化造成的碳排放和生态系统的空间差异（ESV），在中国城市集聚中，表达为间隔粗糙集的不确定性纳入建模框架。结果表明，建筑土地占总碳排放量的[88.62％，99.64％]。与其他城市相比，成都和重庆发生了较高的碳排放量，而东部地区则具有较强的碳吸收能力。碳排放系数的不确定性对区域碳排放产生显着影响。借助于碳素间隔 - 随机分析，它可以帮助抵消城市之间差异造成的一些相互影响。生态携带和碳排放系数的值表征为从东部到西部的高点的特征，凉山彝族自治州的最高价值存在。在2000年至2015年期间的区域平均ESV中存在略有变化，但在草原上发生高敏感系数，对整体ESV产生重大影响。通常，高区域经济性能对应于大量的碳排放和低ESV，但耕种和林地比例的变化对碳排放和生态系统服务有轻微影响。政策影响表明，从煤切换到页岩气可能被认为是碳排放减少的潜在方法。区域合作也是促进成都城市集聚的区域绿色发展的关键渠道。

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  • 作者

    Chen Yizhong; Lu Hongwei; Li Jing; Xia Jun;

  • 作者单位

    Hebei Univ Technol Sch Econ & Management Tianjin 300401 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Water Cycle & Related Land Surface Proc Beijing 100101 Peoples R China;

    Hebei Normal Univ Coll Resource & Environm Sci Hebei Key Lab Environm Change & Ecol Construct Shijiazhuang 050024 Hebei Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Water Cycle & Related Land Surface Proc Beijing 100101 Peoples R China|Wuhan Univ State Key Lab Water Resources & Hydropower Engn S Wuhan 430000 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Land use; cover change; Carbon emissions; Ecosystem survives; Shale gas; Green development;

    机译：土地使用;覆盖变化;碳排放;生态系统存活;页岩气;绿色发展;

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