黑龙江省生态足迹时空演变与生态可持续分析

李蕴峰; 陈卓; 雷海亮; 刘畅; 卢昱润

doi:10.12153/j.issn.1674-991X.20220797

黑龙江省生态足迹时空演变与生态可持续分析

doi: 10.12153/j.issn.1674-991X.20220797

李蕴峰^{1, 2,},
陈卓¹,
雷海亮¹,
刘畅¹,
卢昱润¹

1.
中国地质调查局哈尔滨自然资源综合调查中心
2.
中国地质大学地理与信息工程学院

基金项目: 中国地质调查局项目（DD20211584）

详细信息

作者简介:
李蕴峰（1993—），男，工程师，硕士，主要从事地理信息系统应用模型评价研究，liyunfeng9319@126.com

中图分类号: X826
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- 文章访问数: 190
- HTML全文浏览量: 93
- PDF下载量: 24
- 被引次数: 0
出版历程
- 收稿日期: 2022-08-10
- 录用日期: 2022-11-08
- 修回日期: 2022-09-23

Spatial-temporal evolution and ecological sustainability analysis of ecological footprint in Heilongjiang Province

1.
Harbin Center for Integrated Natural Resources Survey, China Geological Survey
2.
School of Geography and Information Engineering, China University of Geosciences

摘要

摘要:
为分析黑龙江省生态可持续性状态，基于植被净初级生产力（NPP）构建了均衡因子和产量因子，采用改进的生态足迹模型，核算黑龙江省2000—2020年生态足迹、生态承载力，揭示生态足迹空间格局变化特征。结果表明：黑龙江省均衡因子为林地>草地>耕地>水域；产量因子为水域>草地>林地>耕地。黑龙江省21年间人均生态足迹增速远大于人均生态承载力，致使人均生态赤字状况日益严重；但考虑到国内贸易后，人均生态足迹呈现先增加后平稳状态，仅在2005—2010年为生态赤字状态，2010年后处于生态平衡状态；在空间上呈现明显的空间异质性。黑龙江省一直处于轻度消耗资产存量发展状态；耕地、草地资本流量无法满足社会需求；化石燃料生态足迹深度增长迅速，且表现为高生态赤字。黑龙江省总体呈现区域发展稍不安全、弱可持续发展状态；草地长期处于强不可持续状态。近年来黑龙江省生态环境状况得到有效改善，但土地资源利用不均的问题突出，应引起关注。
- 黑龙江省 /
- 均衡因子 /
- 产量因子 /
- 三维生态足迹 /
- 时空演化 /
- 生态可持续性
Abstract:
To analyze the ecological sustainability status of Heilongjiang Province, the equivalence factor and yield factor were constructed based on net primary productivity (NPP), and the ecological footprint and ecological carrying capacity of Heilongjiang Province from 2000 to 2020 were calculated by the improved ecological footprint model. Also, the spatial pattern changes of ecological footprint were revealed, and the status of ecological sustainability was analyzed. The results showed: Firstly, the equivalence factor of different lands was in the order of forest land > grassland > cultivated land > water area, and the value of the yield factor was water area > grassland > forest land > cultivated land. Secondly, the growth rate of ecological footprint per capita was much greater than the ecological carrying capacity per capita over the past 21 years in Heilongjiang Province, resulting in an increasingly serious ecological deficit per capita. However, ecological footprint per capita first showed increased status and then stabilized when considering domestic trade. It was in the state of ecological deficit from 2005 to 2010, then in the state of ecological balance after 2010, and there was obvious spatial heterogeneity. Thirdly, Heilongjiang Province had always been in a state of light consumption of asset stock and the capital flow of arable land and grassland could not meet social needs. The ecological footprint of fossil fuels had grown rapidly in-depth and it was manifested by a high ecological deficit. Lastly, the overall regional development of Heilongjiang Province was in a state of slightly unsafe and weak sustainable development and the grassland had been in a state of strong unsustainability for a long time. The ecological environment status of Heilongjiang Province had been effectively improved in recent years; however, the problem of uneven utilization of land resources was prominent and should be paid attention to.
- Heilongjiang Province /
- equivalence factor /
- yield factor /
- three-dimensional ecological footprint /
- spatial-temporal evolution /
- ecological sustainability

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图 1 黑龙江省自然资本利用变化趋势

Figure 1. Changing trend of natural capital utilization in Heilongjiang Province

下载: 全尺寸图片幻灯片

图 2 黑龙江省人均生态足迹深度、广度以及三维生态足迹变化趋势

Figure 2. Depth and breadth of footprint per capita in Heilongjiang Province and changing trend of 3D ecological footprint

下载: 全尺寸图片幻灯片

图 3 黑龙江省可持续发展指标变化趋势

Figure 3. Changing trend of sustainable development indicators in Heilongjiang Province

下载: 全尺寸图片幻灯片

图 4 黑龙江省生态盈余/赤字空间格局变化

Figure 4. Changes of the spatial pattern of ecological surplus/deficit in Heilongjiang Province

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表 1 生态足迹模型选用的生态账户数据

Table 1. Ecological account data selected by the Ecological Footprint Model

账户类型	消费项目	土地类型
生物资源	水稻、小麦、玉米、谷子、高粱、豆类、薯类、麻类、甜菜、烟叶、蔬菜菌类、猪肉、禽肉、禽蛋	耕地
	瓜果、木材	林地
	牛肉、羊肉	草地
	水产品	水域
能源消费	煤炭、煤油、焦炭、原油、汽油、柴油、燃料油	化石燃料用地
能源消费	水电	建设用地

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表 2 基于国家公顷的黑龙江省均衡因子与产量因子

Table 2. Equivalent factor and yield factor of Heilongjiang Province based on national hectares

年份	项目	土地类型
年份	项目	耕地	林地	草地	水域
2000	NPP/〔g/(m²·a)〕	341.756	471.221	371.299	324.945
	均衡因子	0.846	1.167	0.919	0.805
	产量因子	0.461	0.787	1.966	2.192
2005	NPP/〔g/(m²·a)〕	347.941	492.312	392.939	334.225
	均衡因子	0.832	1.177	0.939	0.799
	产量因子	0.469	0.822	2.080	2.255
2010	NPP/〔g/(m²·a)〕	354.377	500.707	408.350	323.816
	均衡因子	0.832	1.175	0.958	0.760
	产量因子	0.478	0.836	2.162	2.185
2013	NPP/〔g/(m²·a)〕	347.415	499.499	397.148	324.560
	均衡因子	0.830	1.182	0.949	0.776
	产量因子	0.469	0.826	2.103	2.190
2015	NPP/〔g/(m²·a)〕	335.890	506.331	413.170	330.721
	均衡因子	0.782	1.178	0.961	0.770
	产量因子	0.453	0.845	2.187	2.231
2018	NPP〔g/(m²·a)〕	356.145	512.058	403.582	325.565
	均衡因子	0.829	1.192	0.969	0.758
	产量因子	0.480	0.855	2.137	2.196
2020	NPP/〔g/(m²·a)〕	356.027	512.062	403.271	332.691
	均衡因子	0.828	1.192	0.938	0.774
	产量因子	0.480	0.855	2.135	2.244

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表 3 黑龙江省2000—2020年人均生态足迹

Table 3. Ecological footprint per capita of Heilongjiang Province from 2000 to 2020 hm²/人　

年份	生态足迹	耕地	林地	草地	水域	化石能源	建设用地	合计
2000	生态足迹	0.190 76	0.016 86	0.299 62	0.009 39	0.710 26	0.000 03	1.226 93
	调整后足迹	0.247 19	0.021 85	0.388 24	0.012 17	0.710 26	0.000 03	1.379 74
	生态承载力	0.151 38	0.460 54	0.139 09	0.062 67	1.125 14	0.000 03	1.938 85
2005	生态足迹	0.249 92	0.545 55	0.588 79	0.008 34	1.002 15	0.000 03	2.394 78
	调整后足迹	0.237 48	0.518 39	0.559 48	0.007 92	1.002 15	0.000 03	2.325 45
	生态承载力	0.151 94	0.482 91	0.150 73	0.062 81	1.199 21	0.000 03	2.047 63
2010	生态足迹	0.292 72	0.381 32	0.432 27	0.005 38	1.417 51	0.000 05	2.529 25
	调整后足迹	0.274 57	0.357 67	0.405 46	0.005 04	1.417 51	0.000 05	2.460 29
	生态承载力	0.154 76	0.487 87	0.159 98	0.058 24	1.245 33	0.000 05	2.106 22
2013	生态足迹	0.327 96	0.148 99	0.456 13	0.006 57	1.509 02	0.000 07	2.448 73
	调整后足迹	0.228 45	0.103 78	0.317 73	0.004 57	1.509 02	0.000 07	2.163 63
	生态承载力	0.158 24	0.497 59	0.162 94	0.040 51	1.247 05	0.000 07	2.106 40
2015	生态足迹	0.342 13	0.128 43	0.489 29	0.006 94	1.664 42	0.000 03	2.631 24
	调整后足迹	0.219 66	0.082 46	0.314 14	0.004 45	1.664 42	0.000 03	2.285 17
	生态承载力	0.151 59	0.534 98	0.174 37	0.064 80	1.366 19	0.000 03	2.291 97
2018	生态足迹	0.383 41	0.051 80	0.490 14	0.007 87	1.613 22	0.000 06	2.546 49
	调整后足迹	0.189 96	0.025 66	0.242 84	0.003 90	1.613 22	0.000 06	2.075 65
	生态承载力	0.192 08	0.540 10	0.122 25	0.047 46	1.307 74	0.000 06	2.209 69
2020	生态足迹	0.413 81	0.080 74	0.550 51	0.008 89	1.773 87	0.000 07	2.827 89
	调整后足迹	0.203 20	0.039 64	0.270 32	0.004 36	1.773 87	0.000 07	2.291 48
	生态承载力	0.199 93	0.566 54	0.128 33	0.058 39	1.370 53	0.000 07	2.323 79

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参考文献(39)

[1]	孙要良. 如何理解“人与自然是生命共同体”[N]. 学习时报, 2018-04-09 (A1).
[2]	WACKERNAGEL M, ONISTO L, BELLO P, et al. National natural capital accounting with the ecological footprint concept[J]. Ecological Economics,1999,29(3):375-390. doi: 10.1016/S0921-8009(98)90063-5
[3]	REES W E. Ecological footprints and appropriated carrying capacity: what urban economics leaves out[J]. Environment and Urbanization,1992,4(2):121-130. doi: 10.1177/095624789200400212
[4]	NICCOLUCCI V, BASTIANONI S, TIEZZI E B P, et al. How deep is the footprint: a 3D representation[J]. Ecological Modelling,2009,220(20):2819-2823. doi: 10.1016/j.ecolmodel.2009.07.018
[5]	方恺.生态足迹深度和广度: 构建三维模型的新指标[J]. 生态学报,2013,33(1):267-274. doi: 10.5846/stxb201111051670 FANG K. Ecological footprint depth and size: new indicators for a 3D model[J]. Acta Ecologica Sinica,2013,33(1):267-274. doi: 10.5846/stxb201111051670
[6]	范小杉, 何萍.生态承载力环评: 研究进展·存在问题·修正对策[J]. 环境科学研究,2017,30(12):1869-1879. FAN X S, HE P. Research advances, defects and countermeasures for environmental impact assessment of ecological carrying capacity[J]. Research of Environmental Sciences,2017,30(12):1869-1879.
[7]	陈成忠, 林振山.生态足迹模型的争论与发展[J]. 生态学报,2008,28(12):6252-6263. CHEN C Z, LIN Z S. Debate and development of ecological footprint model during the last 10 years[J]. Acta Ecologica Sinica,2008,28(12):6252-6263.
[8]	盛若愚, 纪荣婷, 陈苏娟, 等.基于二维和三维生态足迹的长三角城市群自然资本可持续性分析[J]. 环境工程技术学报,2023,13(2):817-826. doi: 10.12153/j.issn.1674-991X.20220178 SHENG R Y, JI R T, CHEN S J, et al. Analysis of natural capital sustainability of the Yangtze River Delta urban agglomeration based on two-dimensional and three-dimensional ecological footprint models[J]. Journal of Environmental Engineering Technology,2023,13(2):817-826. doi: 10.12153/j.issn.1674-991X.20220178
[9]	刘某承, 李文华.基于净初级生产力的中国生态足迹均衡因子测算[J]. 自然资源学报,2009,24(9):1550-1559. LIU M C, LI W H. The calculation of China's equivalence factor under ecological footprint mode based on net primary production[J]. Journal of Natural Resources,2009,24(9):1550-1559.
[10]	刘某承, 李文华, 谢高地.基于净初级生产力的中国生态足迹产量因子测算[J]. 生态学杂志,2010,29(3):592-597. LIU M C, LI W H, XIE G D. Estimation of China ecological footprint production coefficient based on net primary productivity[J]. Chinese Journal of Ecology,2010,29(3):592-597.
[11]	刘淼, 胡远满, 常禹, 等.基于能值理论的生态足迹方法改进[J]. 自然资源学报,2008,23(3):447-457. LIU M, HU Y M, CHANG Y, et al. Modification of ecological footprint assessment based on emergy: a case study in the upper reach of Minjiang River[J]. Journal of Natural Resources,2008,23(3):447-457.
[12]	纪荣婷, 陈梅, 刘溪, 等.基于能值生态足迹分析的宁海县可持续发展潜力评价[J]. 环境科学研究,2020,33(12):2752-2760. JI R T, CHEN M, LIU X, et al. Sustainable development potential assessment of Ninghai County using an emergy ecological footprint analysis[J]. Research of Environmental Sciences,2020,33(12):2752-2760.
[13]	谢鸿宇, 陈贤生, 杨木壮, 等.中国单位畜牧产品生态足迹分析[J]. 生态学报,2009,29(6):3264-3270. XIE H Y, CHEN X S, YANG M Z, et al. The ecological footprint analysis of 1kg livestock product of China[J]. Acta Ecologica Sinica,2009,29(6):3264-3270.
[14]	熊鹰, 艾赣雄, 周晨, 等.基于改进三维生态足迹模型的洞庭湖区生态可持续时空演化研究[J]. 生态学报,2022,42(3):1165-1179. XIONG Y, AI G X, ZHOU C, et al. Temporal and spatial evolution of ecological sustainability in Dongting Lake area based on the improved three-dimensional ecological footprint model[J]. Acta Ecologica Sinica,2022,42(3):1165-1179.
[15]	白钰, 曾辉, 马强, 等.基于宏观贸易调整法的城市尺度生态足迹模型: 以珠江三角洲城市群为例[J]. 自然资源学报,2009,24(2):241-250. doi: 10.3321/j.issn:1000-3037.2009.02.008 BAI Y, ZENG H, MA Q, et al. Urban scale ecological footprint model based on macroscopical trade-correct method: a case study in Pearl River Delta urban agglomeration[J]. Journal of Natural Resources,2009,24(2):241-250. doi: 10.3321/j.issn:1000-3037.2009.02.008
[16]	蒋毓琪, 杨怡康, 朱少英.黄河流域山西矿区自然资本占用动态评估及驱动机制[J]. 环境工程技术学报,2022,12(4):1264-1271. doi: 10.12153/j.issn.1674-991X.20210327 JIANG Y Q, YANG Y K, ZHU S Y. Dynamic evaluation and driving mechanism of natural capital occupation in Shanxi mining areas of the Yellow River Basin[J]. Journal of Environmental Engineering Technology,2022,12(4):1264-1271. doi: 10.12153/j.issn.1674-991X.20210327
[17]	闻熠, 高峻, 姚扬, 等.基于改进参数的长三角城市群生态足迹时空动态及驱动因子分析[J]. 环境工程技术学报,2020,10(1):133-141. WEN Y, GAO J, YAO Y, et al. Spatial and temporal dynamics and driving factor analysis of ecological footprint of Yangtze River Delta urban agglomeration based on improved parameters[J]. Journal of Environmental Engineering Technology,2020,10(1):133-141.
[18]	张乐勤, 李荣富, 荣慧芳, 等.安徽省近10年能源足迹测度及驱动因子分析[J]. 环境科学研究,2012,25(4):474-480. ZHANG L Q, LI R F, RONG H F, et al. Analysis and measurement of factors driving energy ecological footprints in Anhui Province over the last decade[J]. Research of Environmental Sciences,2012,25(4):474-480.
[19]	吴心怡, 张燕.江苏省自然资源利用时空变化特征及驱动力分析[J]. 环境工程技术学报,2020,10(2):293-302. WU X Y, ZHANG Y. Spatiotemporal variation characteristics and driving forces of natural resources utilization in Jiangsu Province[J]. Journal of Environmental Engineering Technology,2020,10(2):293-302.
[20]	温飞, 邵月花, 谈存峰.渭河干流甘肃段生态足迹与承载力评价分析[J]. 环境工程技术学报,2021,11(5):983-991. WEN F, SHAO Y H, TAN C F. Evaluation and analysis of ecological footprint and carrying capacity of the mainstream of Weihe River in Gansu Province[J]. Journal of Environmental Engineering Technology,2021,11(5):983-991.
[21]	USMAN M, HAMMAR N. Dynamic relationship between technological innovations, financial development, renewable energy, and ecological footprint: fresh insights based on the STIRPAT model for Asia Pacific Economic Cooperation countries[J]. Environmental Science and Pollution Research International,2021,28(12):15519-15536. doi: 10.1007/s11356-020-11640-z
[22]	ZHANG X Q, XU L, CHEN Y, et al. Emergy-based ecological footprint analysis of a wind farm in China[J]. Ecological Indicators,2020,111:106018. doi: 10.1016/j.ecolind.2019.106018
[23]	KHAN I, HOU F J. The dynamic links among energy consumption, tourism growth, and the ecological footprint: the role of environmental quality in 38 IEA countries[J]. Environmental Science and Pollution Research International,2021,28(5):5049-5062. doi: 10.1007/s11356-020-10861-6
[24]	LENZEN M, MURRAY S A. A modified ecological footprint method and its application to Australia[J]. Ecological Economics,2001,37(2):229-255. doi: 10.1016/S0921-8009(00)00275-5
[25]	付秀梅, 李晓楠, 林春宇, 等.基于科学知识图谱的生态足迹研究演进、框架与前沿中外比较[J]. 生态学报,2022,42(13):5543-5557.
[26]	张宇鹏. 我国生态足迹区域差异比较研究[D]. 长春: 吉林大学, 2010.
[27]	谢鸿宇, 王羚郦, 陈贤生, 等. 生态足迹评价模型的改进与应用[M]. 北京: 化学工业出版社, 2008.
[28]	周涛, 王云鹏, 龚健周, 等.生态足迹的模型修正与方法改进[J]. 生态学报,2015,35(14):4592-4603. ZHOU T, WANG Y P, GONG J Z, et al. Ecological footprint model modification and method improvement[J]. Acta Ecologica Sinica,2015,35(14):4592-4603.
[29]	洪顺发, 郭青海, 李达维.基于生态足迹理论的中国生态供需平衡时空动态[J]. 资源科学,2020,42(5):980-990. HONG S F, GUO Q H, LI D W. Spatiotemporal dynamics of ecological supply and demand based on ecological footprint theory[J]. Resources Science,2020,42(5):980-990.
[30]	伍芮, 李成英.ArcGIS下基于三维生态足迹模型的土地利用分析: 以青海省东部城市为例[J]. 国土与自然资源研究,2020(6):20-27. WU R, LI C Y. Analysis of land use based on 3D ecological footprint model under ArcGIS: taking the eastern city of Qinghai Province as an example[J]. Territory & Natural Resources Study,2020(6):20-27.
[31]	梁中, 徐蓓.中国省域碳压力空间分布及其重心迁移[J]. 经济地理,2017,37(2):179-186. LIANG Z, XU B. The spatial distribution of the migration of carbon pressure gravity center of provinces in China[J]. Economic Geography,2017,37(2):179-186.
[32]	谢鸿宇, 陈贤生, 林凯荣, 等.基于碳循环的化石能源及电力生态足迹[J]. 生态学报,2008,28(4):1729-1735. doi: 10.3321/j.issn:1000-0933.2008.04.044 XIE H Y, CHEN X S, LIN K R, et al. The ecological footprint analysis of fossil energy and electricity[J]. Acta Ecologica Sinica,2008,28(4):1729-1735. doi: 10.3321/j.issn:1000-0933.2008.04.044
[33]	方恺.基于改进生态足迹三维模型的自然资本利用特征分析: 选取11个国家为数据源[J]. 生态学报,2015,35(11):3766-3777. FANG K. Assessing the natural capital use of eleven nations: an application of a revised three-dimensional model of ecological footprint[J]. Acta Ecologica Sinica,2015,35(11):3766-3777.
[34]	徐雪, 史国锋, 姚林杰, 等.内蒙古毛乌素沙地生态足迹及驱动因素[J]. 内蒙古大学学报(自然科学版),2021,52(4):381-391. XU X, SHI G F, YAO L J, et al. Ecological footprint and driving forces in mu us sandy land in Inner Mongolia[J]. Journal of Inner Mongolia University (Natural Science Edition),2021,52(4):381-391.
[35]	王涛, 邵田田, 李登辉, 等.基于净初级生产力生态足迹的河南省生态安全诊断[J]. 遥感信息,2020,35(4):133-140. doi: 10.3969/j.issn.1000-3177.2020.04.018 WANG T, SHAO T T, LI D H, et al. Ecological security diagnosis of Henan Province based on ecological footprint of net primary productivity[J]. Remote Sensing Information,2020,35(4):133-140. doi: 10.3969/j.issn.1000-3177.2020.04.018
[36]	鲁凤, 陶菲, 钞振华, 等.基于净初级生产力的省公顷生态足迹模型参数的计算: 以江苏省为例[J]. 地理与地理信息科学,2016,32(2):83-88. LU F, TAO F, CHAO Z H, et al. Calculation of ecological footprint model coefficients based on net primary productivity: a case study of Jiangsu[J]. Geography and Geo-Information Science,2016,32(2):83-88.
[37]	刘梓田. 黑龙江省三维生态足迹的动态演变及驱动因子研究[D]. 哈尔滨: 东北林业大学, 2021.
[38]	吕洁华, 王潇涵, 刘梓田.黑龙江省生态足迹的动态演变与驱动因子研究[J]. 林业经济,2020,42(3):39-46. LV J H, WANG X H, LIU Z T. Study on the dynamic evolution and driving factors of ecological footprint in Heilongjiang Province[J]. Forestry Economics,2020,42(3):39-46.
[39]	梁雪石, 郑福云, 郭文栋, 等.黑龙江省生态足迹分析及ARIMA模型预测[J]. 国土与自然资源研究,2020(2):14-19. LIANG X S, ZHENG F Y, GUO W D, et al. Ecological footprint analysis and ARIMA model prediction in Heilongjiang Province[J]. Territory & Natural Resources Study,2020(2):14-19. ⊕