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浙江大学学报(工学版)  2019, Vol. 53 Issue (8): 1478-1487    DOI: 10.3785/j.issn.1008-973X.2019.08.006
土木与建筑工程     
基于生境质量与碳储量的城市刚性开发边界划定
蔚芳(),詹小稳
浙江大学 建筑工程学院,浙江 杭州 310058
Delineation of rigid urban growth boundary based on habitat quality and carbon storage
Fang WEI(),Xiao-wen ZHAN
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
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摘要:

城市发展面临用地扩张与生态环境保护之间的矛盾。为了在大尺度上定量化地识别生态重点保育空间进而确定城市开发边界,利用InVEST模型的生境质量模块及碳储存和固持模块对杭州市域范围十区三县市内的生态系统服务进行量化评估。通过空间分析和数据信息分析反映生物多样性的生境质量和碳储量的双赢区域,通过模型参数设置的敏感性和结果的有效性分析确保分析的可靠性。研究结果表明,杭州市域各区县的生境质量以及碳储量水平存在较大的空间差异,生态服务水平总体呈现西南高东北低的态势。将生态系统服务评估纳入城市土地利用决策过程,确定基于生态系统服务的优先保护区域,为城市刚性开发边界的划定提供依据。

关键词: 生态系统服务刚性城市开发边界生境质量碳储量优先保护区    
Abstract:

The contradiction between land expansion and ecological protection exists in decisions about urban development. In order to quantitatively identify the key ecological conservation area on a large scale and delineate a rigid urban growth boundary, habitat quality and carbon storage and sequestration modules in the InVEST model were used to quantitatively evaluate the ecosystem services over ten districts, one county-level city, and two counties in Hangzhou. Spatial and data information analyses were used to deal with the win-win areas of habitat quality (as a proxy of biodiversity) and carbon stocks, and the analyses of sensitivity of model parameter and the validity of the results were used to ensure the reliability of the analyses. Results show that spatial differences exist in the levels of habitat quality and carbon storage. Those areas in the southwest have higher levels of ecosystem service than those in the northeast. By integrating ecosystem service evaluation into the urban land use decision-making process, priority conservation areas were defined and references for the delineation of a rigid urban growth boundary were provided.

Key words: ecosystem service    rigid urban growth boundary    habitat quality    carbon storage    conservation priority area
收稿日期: 2018-06-27 出版日期: 2019-08-13
CLC:  TU 984  
作者简介: 蔚芳(1974—),女,副教授,从事区域与城市发展研究. orcid.org/0000-0003-2528-7557. E-mail: weif@zju.edu.cn
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引用本文:

蔚芳,詹小稳. 基于生境质量与碳储量的城市刚性开发边界划定[J]. 浙江大学学报(工学版), 2019, 53(8): 1478-1487.

Fang WEI,Xiao-wen ZHAN. Delineation of rigid urban growth boundary based on habitat quality and carbon storage. Journal of ZheJiang University (Engineering Science), 2019, 53(8): 1478-1487.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2019.08.006        http://www.zjujournals.com/eng/CN/Y2019/V53/I8/1478

图 1  2015年杭州市域土地利用/土地覆被图
威胁类别 dmax/km ω 衰减类型
注:1)L代表线性,2)E代表指数型
城镇建设用地 6.0 0.94 L1)
耕地 1.0 0.72 L
村庄 2.0 0.39 L
工矿用地 6.0 1.00 L
公路 2.0 0.40 E2)
铁路 3.0 0.45 E
农村道路 0.8 0.10 E
表 1  威胁源、最大影响距离及权重
生境质量等级 Q Shq/km2 Pcity/%
0.0~0.1 1 812.46 10.75
0.1~0.4 17.98 0.11
0.4~0.6 2 525.38 14.98
0.6~1.0 12 496.42 74.15
合计 0~1.0 16 852.24 100.00
表 2  杭州市域各生境质量分类
图 2  杭州市域生境质量评价等级图
区县名称 Se/km2 Scounty/km2 Pcounty/%
主城六区 219.99 706.55 31.1
萧山区 442.65 1 409.44 31.4
余杭区 548.65 1 227.89 44.7
富阳区 1 334.16 1 821.01 73.3
临安区 2 575.77 3 119.08 82.6
桐庐 1 456.25 1 828.93 79.6
建德 1 837.57 2 314.03 79.4
淳安 4 074.93 4 418.42 92.2
市域 12 496.42 16 852.24 74.2
表 3  生境质量为优的面积及比例
kg/m2
土地覆被类型 地上碳 地下碳 土壤碳 合计
有林地 9.03 24.69 27.42 61.14
灌木林地 5.67 14.38 16.78 36.83
其他林地 5.67 14.38 12.76 32.80
园地 5.67 14.38 8.04 28.08
草地 7.52 18.42 14.79 40.73
水域 0.06 7.90 8.11 16.07
耕地 4.77 17.19 16.04 38.00
建设用地 1.20 4.35 4.35 9.90
裸地 0.01 4.29 7.46 11.76
表 4  杭州市不同土地覆被的碳密度参数
区县名称 CStot/(104 t) Scounty/km2 $\overline{\rm{CS}} $/(kg·m?2)
主城六区 1 524.868 706.61 21.58
余杭区 4 216.304 1 228.28 34.33
萧山区 4 270.760 1 413.11 30.22
临安区 15 824.076 3 119.49 50.73
富阳区 8 431.081 1 821.08 46.30
建德 11 372.140 2 314.45 49.14
桐庐 9 100.181 1 829.02 49.75
淳安 20 408.948 4 418.81 46.19
市域合计 75 148.358 16 850.86 44.60
表 5  区县总碳储量和单位面积碳储量
图 3  杭州市域生态系统服务综合等级
生态系统服务综合等级 Sr/km2 Pcity/%
低(0.8~3.3) 1 830.3 10.8
中(3.3~7.7) 5 456.9 30.4
高(7.7~10) 9 564.8 56.8
合计 16 852.0 100.0
表 6  杭州生态系统服务等级及面积
图 4  杭州城市刚性开发边界
生境质量 占城市面积比例/%
仅作为生境 既作为生境又作为威胁 仅作为威胁
0~0.1 10.78 10.75 24.74
0.1~0.4 0.09 0.11 0.11
0.4~0.6 14.99 14.98 1.00
0.6~1.0 74.15 74.15 74.15
表 7  耕地参数设置敏感性分析
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