干旱区研究

干旱区研究 >

2024 , Vol. 41 >Issue 7: 1238 - 1248

DOI: https://doi.org/10.13866/j.azr.2024.07.15

生态与环境

“双碳”目标下新疆“三生”空间时空演变特征及碳效应

  • 菅政博 ,
  • 罗浩 ,
  • 单娜娜
展开
  • 1.新疆农业大学公共管理学院，新疆 乌鲁木齐 830052
    2.新疆农业大学资源与环境学院，新疆 乌鲁木齐 830052
    3.新疆农业科学院土壤肥料与农业节水研究所，农业农村部西北绿洲农业环境重点实验室，新疆 乌鲁木齐 830052
菅政博（1998-），女，硕士研究生，主要从事耕地保护、国土空间规划研究. E-mail: jzb9983@163.com
单娜娜. E-mail: shannana@xaas.ac.cn

收稿日期: 2023-08-29

  修回日期: 2023-10-07

  网络出版日期: 2024-08-01

基金资助

青年科学基金(2022D01B164);农业农村部西北绿洲农业环境重点实验室开放基金(NYBXBLZ-201706)

收起

A study on the spatial and temporal evolution and carbon effects of production-living-ecological in Xinjiang under carbon peak and carbon neutrality goals

  • JIAN Zhengbo ,
  • LUO Hao ,
  • SHAN Nana
Expand
  • 1. School of Public Management, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
    2. College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
    3. Institute of Soil Fertilizer and Agricultural Water Saving, Xinjiang Academy of Agricultural Sciences, Key Laboratory of Northwest Oasis Agricultural Environment, Ministry of Agriculture and Rural Affairs, Urumqi 830052, Xinjiang, China

Received date: 2023-08-29

  Revised date: 2023-10-07

  Online published: 2024-08-01

Fold

摘要

研究“双碳”目标下“三生”空间时空演变特征及碳效应，对干旱区生态经济可持续发展及实现国土空间绿色低碳发展有重要的实践意义。本文基于新疆土地利用遥感监测数据和能源消耗数据，运用“三生”空间动态度、转移矩阵及碳排放系数等方法，借助ArcGIS空间分析功能对新疆2000—2020年“三生”空间时空演变特征及碳效应进行分析。结果表明：（1） 新疆近20 a“三生”空间综合动态度达0.11%，2005—2010年综合动态度最高。（2） 20 a间“三生”空间总体上呈现生活生产空间急剧扩张，生态空间面积缩减的趋势。（3） 生活生产空间是新疆最主要的碳排放空间类型，呈现出持续增长的趋势；生态生产空间对碳吸收的贡献率较大。研究结果可为构建符合新疆减排需求的“三生”空间分类体系提供科学支撑，对建设高质量“一带一路”，实现干旱区新疆低碳发展和“双碳”目标具有重要意义。

关键词： “三生”空间; 时空演变; 碳源和碳汇; 碳效应; 新疆

本文引用格式

菅政博 , 罗浩 , 单娜娜 . “双碳”目标下新疆“三生”空间时空演变特征及碳效应[J]. 干旱区研究, 2024 , 41(7) : 1238 -1248 . DOI: 10.13866/j.azr.2024.07.15

Abstract

The study of the spatial-temporal evolution of the “production-living-ecological” space and the effect of carbon emission under carbon peak and carbon neutrality goals target is of practical significance for the sustainable development of ecological economies in arid areas and the realization of green and low-carbon development in land space. This study examined remote sensing monitoring data and energy consumption data for the Xinjiang in five periods: 2000, 2005, 2010, 2015, and 2020. Using the “production-living-ecological” spatial dynamic index, transfer matrix, and carbon emission coefficient, the spatial-temporal evolution characteristics and carbon effects of “production-living-ecological” in Xinjiang in the past 20 years were analyzed using the ArcGIS spatial analysis functions. The results show that: (1) the comprehensive dynamic index of the study area reached 0.11% in the past 20 years, with the highest from 2005 to 2010. (2) in the past 20 years, the area of the “production-living-ecological” space has changed greatly, revealing the rapid expansion of “living-production” space and declining trend in “ecological space”. and (3) “living-production” space is the main contributor to carbon emissions in the study area, and underwent continuous growth. In terms of carbon absorption, the contribution of the “ecological-production” space to carbon absorption is relatively high. The study provides scientific support for the construction of a spatial classification system for the “production-living-ecological” space that meets the emissions reduction needs of Xinjiang; thus, it is of great significance for the construction of high-quality “Belt and Road” and the realization of low-carbon development, carbon peak and carbon neutrality goals in arid regions.

Key words： “production-living-ecological” space; spatiotemporal evolution; carbon sources and sinks; carbon effect; Xinjiang

参考文献

[1] 郭莉, 白丽芳, 王超越, 等. 基于“三生空间” 的重庆市碳排放增长机理及趋势预测[J]. 环境污染与防治, 2022, 44(6): 816-823.
  [Guo Li, Bai Lifang, Wang Chaoyue, et al. Growth mechanism and trend prediction of carbon emission in Chongqing based on production-living-ecological space[J]. Environmental Pollution & Control, 2022, 44(6): 816-823.]
[2] 朱志强, 马晓双, 胡洪. 基于耦合FLUS-InVEST模型的广州市生态系统碳储量时空演变与预测[J]. 水土保持通报, 2021, 41(2): 222-229, 239.
  [Zhu Zhiqiang, Ma Xiaoshuang, Hu Hong. Spatial and temporal evolution and prediction of ecosystem carbon stocks in Guangzhou based on the coupled FLUS-InVEST models[J]. Bulletin of Soil and Water Conservation, 2021, 41(2): 222-229, 239.]
[3] Watson R T, Noble I R, Bolin B, et al. Land Use, Land-use Change, and Forestry: A Special Report of the IPCC[R]. Cambridge: Cambridge University Press, 2000: 189-217.
[4] 时振钦, 邓伟, 张少尧. 近25年横断山区国土空间格局与时空变化研究[J]. 地理研究, 2018, 37(3): 607-621.
  [Shi Zhenqin, Deng Wei, Zhang Shaoyao. Spatial pattern and spatio-temporal change of territory space in Hengduan Mountains region in recent 25 years[J]. Geographical Research, 2018, 37(3): 607-621.]
[5] 郑艺文, 刘晓煌, 熊茂秋, 等. 1990—2018年新疆“三生用地” 时空变化特征及其碳排放效应[J]. 草业科学, 2022, 39(12): 2565-2577.
  [Zheng Yiwen, Liu Xiaohuang, Xiong Maoqiu, et al. Spatial-temporal characteristics of ecological-living-productive land and its carbon emissions in Xinjiang from 1990 to 2018[J]. Pratacultural Science, 2022, 39(12): 2565-2577.]
[6] 王剑, 关士钦, 严维斌, 等. 青海省“三生用地” 时空演变特征及其碳排放效应[J]. 环境科学与技术, 2021, 44(4): 212-218.
  [Wang Jian, Guan Shiqin, Yan Weibin, et al. Spatial-temporal evolution characteristics and carbon emission effect of three-generation land in Qinghai Province[J]. Environmental Science & Technology, 2021, 44(4): 212-218.]
[7] 刘继来, 刘彦随, 李裕瑞. 中国“三生空间”分类评价与时空格局分析[J]. 地理学报, 2017, 72(7): 1290-1304.
  [Liu Jilai, Liu Yansui, Li Yurui. Classification evaluation and spatial-temporal analysis of production-living-ecological spaces in China[J]. Acta Geographica Sinica, 2017, 72(7): 1290-1304.]
[8] 卢燕. 乌鲁木齐城市生活空间研究[D]. 武汉: 华中师范大学, 2018.
  [Lu Yan. Study on the City Life Space of Urumqi[D]. Wuhan: Central China Normal University, 2018.]
[9] 李宗阳. “三生空间” 视角下西北干旱城市综合承载力研究[D]. 石河子: 石河子大学, 2019.
  [Li Zongyang. Study on Urban Comprehensive Carrying Capacity of Arid Areas in Northwest China from the Perspective of Production-Life-Ecological Space[D]. Shihezi: Shihezi University, 2019.]
[10] IPCC. IPCC guidelines for national greenhouse gas inventories[M]. Japan: Institute for Global Environmental Strategies (IGES), 2006.
[11] 彭文甫, 周介铭, 徐新良, 等. 基于土地利用变化的四川省碳排放与碳足迹效应及时空格局[J]. 生态学报, 2016, 36(22): 7244-7259.
  [Peng Wenfu, Zhou Jieming, Xu Xinliang, et al. Effect of land use changes on the temporal and spatial patterns of carbon emissions and carbon footprints in the Sichuan Province of Western China[J]. Acta Ecologica Sinica, 2016, 36(22): 7244-7259.]
[12] 阿依吐尔逊·沙木西, 艾力西尔·亚力坤, 刘晓曼, 等. 乌鲁木齐土地利用碳排放强度时空演变研究[J]. 中国农业资源与区划, 2020, 41(2): 139-146.
  [Aytursun Shamxi, Alxir Yalkun, Liu Xiaoman, et al. Carbon intensity of land use in Urumqi City based on spatial-temporal evolution[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(2): 139-146.]
[13] 翟玉鑫, 张飞云, 马丽娜. 近40年新疆三生用地转型及其生态环境效应演变[J]. 土壤通报, 2022, 53(3): 514-523.
  [Zhai Yuxin, Zhang Feiyun, Ma Lina. Changes of production-living-ecology land transformation and eco-environmental effects in Xinjiang in last 40 years[J]. Chinese Journal of Soil Science, 2022, 53(3): 514-523.]
[14] 韦绍音, 陆汝成, 张利国, 等. 碳中和目标下的广西边境地区“三生” 空间转型及碳储量效应[J]. 水土保持通报, 2023, 43(1): 399-408.
  [Wei Shaoyin, Lu Rucheng, Zhang Liguo, et al. Transition of productional-living-ecology space and carbon storage effect in Guangxi border area under carbon neutrality goal[J]. Bulletin of Soil and Water Conservation 2023, 43(1): 399-408.]
[15] 王向东, 王康龙, 单娜娜, 等. 国土空间规划背景下的新疆国土空间综合发展区划[J]. 经济地理, 2020, 40(11): 176-185.
  [Wang Xiangdong, Wang Kanglong, Shan Nana, et al. Comprehensive development regionalization of territorial space in Xinjiang under the background of territoral space planning[J]. Economic Geography, 2020, 40(11): 176-185.]
[16] 杜佳倩, 刘彤, 王寒月, 等. 新疆荒漠一年生植物区系组成、分布及资源类型[J]. 干旱区研究, 2022, 39(1): 185-209.
  [Du Jiaqian, Liu Tong, Wang Hanyue, et al. Floristic composition, distribution, and resource types of desert annual plants in Xinjiang[J]. Arid Zone Research, 2022, 39(1): 185-209.]
[17] 王萍,新疆能源发展、 节能减排标准现状及建议[C]// 中国标准化协会, 中国标准化年度优秀论文(2022)论文集. 南京: 中国标准化大会, 2022: 550-556.
  [Wang Ping, Xinjiang Energy Development, Energy Conservation and Emission Reduction Standards and Recommendations[C]// China Standardization Association, China Standardization Annual Standing Papers (2022). Nanjing: China Standardization Congress, 2022: 550-556.]
[18] Wang S, Fang C, Wang Y. Spatiotemporal variations of energy-related CO2 emissions in China and its influencing factors: An empirical analysis based on provincial panel data[J]. Renewable and Sustainable Energy Reviews, 2016, 55(1): 505-515.
[19] 章仁彪. 城市文明、城市功能与城市精神[J]. 同济大学学报(社会科学版), 2005(2): 29-36.
  [Zhang Renbiao. Urban civilization, urban function and urban spirit[J]. Journal of Tongji University (Social Science Edition), 2005(2): 29-36.]
[20] 黄金川, 林浩曦, 漆潇潇. 面向国土空间优化的三生空间研究进展[J]. 地理科学进展, 2017, 36(3): 378-391.
  [Huang Jinchuan, Lin Haoxi, Qi Xiaoxiao. A literature review on optimization of spatial development pattern based on ecological-production-living space[J]. Progress in Geography, 2017, 36(3): 378-391.]
[21] 江曼琦, 刘勇. “三生” 空间内涵与空间范围的辨析[J]. 城市发展研究, 2020, 27(4): 43-48, 61.
  [Jiang Manqi, Liu Yong. Discussion on the concept definition and spatial boundary classification of production-living-ecological space[J]. Urban Development Studies, 2020, 27(4): 43-48, 61.]
[22] 张红旗, 许尔琪, 朱会义. 中国“三生用地” 分类及其空间格局[J]. 资源科学, 2015, 37(7): 1332-1338.
  [Zhang Hongqi, Xu Erqi, Zhu Huiyi. An Ecological-living-industrial land classification system and its spatial distribution in China[J]. Resources Science, 2015, 37(7): 1332-1338.]
[23] 王娟娟, 毋兆鹏. 乌鲁木齐市2000—2018年“三生” 空间格局演变及其风险评价[J]. 水土保持通报, 2021, 41(6): 318-326, 335.
  [Wang Juanjuan, Wu Zhaopeng. Evolution on patterns and risk assessment of productive-living-ecological space in Urumqi City during 2000-2018[J]. Bulletin of Soil and Water Conservation, 2021, 41(6): 318-326, 335.]
[24] 徐健, 周寅康, 金晓斌, 等. 基于生态保护对土地利用分类系统未利用地的探讨[J]. 资源科学, 2007, 29(2): 137-141.
  [Xu Jian, Zhou Yinkang, Jin Xiaobin, et al. Discussing virgin land classification subsystem based on the protection of the eco-environment[J]. Resources Science, 2007, 29(2): 137-141.]
[25] Costanza R, d’Arge R, Groot R, et al. The value of the world’s ecosystem services and natural capital[J]. Nature, 1997, 387(6630): 253-260.
[26] 满卫东, 刘明月, 王宗明, 等. 1990—2015年东北地区草地变化遥感监测研究[J]. 中国环境科学, 2020, 40(5): 2246-2253.
  [Man Weidong, Liu Mingyue, Wang Zongming, et al. Remote sensing investigation of grassland change in Northeast China during 1990-2015[J]. Chinese Environmental Science, 2020, 40(5): 2246-2253.]
[27] 孟梅, 崔雪莹, 王志强. 乌鲁木齐市土地利用结构与碳排放的关联测度研究[J]. 水土保持通报, 2018, 38(2): 178-182, 188.
  [Meng Mei, Cui Xueying, Wang Zhiqiang. Correlation between land use structure and carbon emission in Urumqi City[J]. Bulletin of Soil and Water Conservation, 2018, 38(2): 178-182, 188.]
[28] 唐洪松, 马惠兰, 苏洋, 等. 新疆不同土地利用类型的碳排放与碳吸收[J]. 干旱区研究, 2016, 33(3): 486-492.
  [Tang Hongsong, Ma Huilan, Su Yang, et al. Carbon emissions and carbon absorptions of different land use types in Xinjiang[J]. Arid Zone Research, 2016, 33(3): 486-492.]
[29] 和海秀, 周洪华, 白如霄. 基于土地利用变化的新疆塔城地区碳排放特征分析[J]. 水土保持通报, 2022, 42(3): 373-380.
  [He Haixiu, Zhou Honghua, Bai Ruxiao. Characteristics of carbon emissions based on land use changes in Tacheng Area of Xinjiang[J]. Bulletin of Soil and Water Conservation, 2022, 42(3): 373-380.]
[30] Cai Zucong, Kang Guoding, Tsuruta H, et al. Estimate of CH4 emissions from year-round flooded rice fields during rice growing season in China[J]. Pedosphere, 2005, 15(1): 66-71.
[31] 方精云, 陈安平. 中国森林植被碳库的动态变化及其意义[J]. 植物学报, 2001, 50(9): 967-973.
  [Fang Jingyun, Chen Anping. Dynamic forest biomass carbon pools in China and their significance[J]. Journal of Integrative Plant Biology, 2001, 50(9): 967-973.]
[32] 赖力. 中国土地利用的碳排放效应研究[D]. 南京: 南京大学, 2010.
  [Lai Li. Study on the Carbon Emission Effect of Land Use in China[D]. Nanjing: Nanjing University, 2010.]
[33] 李颖, 黄贤金, 甄峰. 江苏省区域不同土地利用方式的碳排放效应分析[J]. 农业工程学报, 2008, 24(增刊): 102-107.
  [Li Ying, Huang Xianjin, Zhen Feng. Effects of land use patterns on carbon emission in Jiangsu Province[J]. Transactions of the Chinese Society of Agricultural Engineering, 2008, (Suppl. ): 102-107.]
[34] 郑永超, 文琦. 宁夏自治区土地利用变化及碳排放效应[J]. 水土保持研究, 2020, 27(1): 207-212.
  [Zheng Yongchao, Wenqi. Change of land use and the carbon emission effect of Ningxia autonomous region[J]. Research of Soil and Water Conservation, 2020, 27(1): 207-212.]
[35] Intergovernmental Panel on Climate Change. Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC)[R]. Conference of the Parties to the United Nations Framework Convention on Climate Change, 2007.
[36] Friedlingstein P, Jones M, O’Sullivan, et al. Global Carbon Budget 2019[J]. Earth System Science Data, 2019, 11: 1783-2019.
[37] 徐丽萍, 李鹏辉, 李忠勤, 等. 新疆山地冰川变化及影响研究进展[J]. 水科学进展, 2020, 31(6): 946-959.
  [Xu Liping, Li Penghui, Li Zhongqin, et al. Advances in research on changes and effects of glaciers in Xinjiang mountains[J]. Advances in Water Science, 2020, 31(6): 946-959.]
[38] 李彦旻, 沈育生, 王世航. 基于土地利用变化的安徽省陆地碳排放时空特征及效应[J]. 水土保持学报, 2022, 36(1): 182-188.
  [Li Yanmin, Shen Yusheng, Wang Shihang. Spatio-temporal characteristics and effects of terrestrial carbon emissions based on land use change in Anhui Province[J]. Journal of Soil and Water Conservation, 2022, 36(1): 182-188.]
[39] Nijdam D, Rood T, Westhoek H. The price of protein: Review of land use and carbon footprints from life cycle assessments of animal food products and their substitutes[J]. Food Policy, 2012, 37(6): 760-770.
[40] 孔冬艳, 陈会广, 吴孔森. 中国“三生空间” 演变特征、生态环境效应及其影响因素[J]. 自然资源学报, 2021, 36(5): 1116-1135.
  [Kong Dongyan, Chen Huiguang, Wu Kongsen. The evolution of production-living-ecological space, eco-environmental effects and its influencing factors in China[J]. Journal of Natural Resources, 2021, 36(5): 1116-1135.]
Options
文章导航

/

〈 〉