区域资源环境承载力的评价理论及方法讨论

doi:10.13287/j.1001-9332.202203.024

应用生态学报 ›› 2022, Vol. 33 ›› Issue (3): 591-602.doi: 10.13287/j.1001-9332.202203.024

• 全球变化对生态脆弱区资源环境承载力的影响专栏 • 上一篇下一篇

区域资源环境承载力的评价理论及方法讨论

赵东升^1*, 张雪梅^1,2, 邓思琪^1,2, 于贵瑞^2,3

¹中国科学院地理科学与资源研究所, 中国科学院陆地表层格局与模拟重点实验室, 北京 100101;
²中国科学院大学, 北京 100049;
³中国科学院地理科学与资源研究所, 生态系统网络观测与模拟重点实验室, 北京 100101

收稿日期:2021-09-13 接受日期:2021-12-28 出版日期:2022-03-15 发布日期:2022-09-15
通讯作者: * E-mail: zhaods@igsnrr.ac.cn
作者简介:赵东升, 男, 1978年生, 副研究员, 硕士生导师。主要从事自然地理综合、气候变化对自然生态系统的影响与适应方面的研究。E-mail: zhaods@igsnrr.ac.cn
基金资助:
国家重点研发计划项目(2017YFA0604803)资助。

Evaluation theory and method of regional resources and environmental carrying capacity.

ZHAO Dong-sheng^1*, ZHANG Xue-mei^1,2, DENG Si-qi^1,2, YU Gui-rui^2,3

¹Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
²University of Chinese Academy of Sciences, Beijing 100049, China;
³Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received:2021-09-13 Accepted:2021-12-28 Online:2022-03-15 Published:2022-09-15

摘要/Abstract

摘要： 人类对资源环境承载力的认知不断深化,并且受到人类需求和外界胁迫的综合影响。当人类的生存发展主要依靠本地资源供给、受本地环境条件限制时,资源环境承载力主要由主导限制因子决定。随着可持续发展和环境保护理念的引入,资源环境承载力逐渐由供给限制转为以需求支撑为主,并出现了以容量、阈值、强度和能力等来表征资源环境承载力的表达形式。气候变化和人类活动对资源环境系统的影响日益显现,导致了资源环境承载力的变化。但是,资源环境承载力、生态系统脆弱性和气候变化风险之间的相互联系和内在机制仍不清晰,制约了资源环境承载力理论和方法的发展。本文初步梳理和探讨了区域资源环境承载力研究的基础理论和方法体系,讨论了生物种群发展承载力、生态系统环境胁迫承载力、自然资源供给承载力、自然环境承载力、社会经济发展承载力及其级联关系,提出了多维度的资源环境承载力的计算方法或概念模式,为资源环境承载力的方法研究提供了新思路。

关键词: 宏观生态系统, 资源环境承载力, 生态阈值, 弹性球

Abstract: Our understanding of resources and environmental carrying capacity is deepened with the comprehensive effects of human needs and external stress. When human survival and development mainly depend on the supply of local resources and environmental conditions, the resources and environmental carrying capacity is largely controled by the dominant limiting factors. With sustainable development and environmental protection, the resources and environmental carrying capacity has gradually changed from supply restriction to demand support. There is an expression of capacity, threshold, intensity, and ability to characterize the resources and environmental carrying capacity. The impact of climate change and human activities on the resource and environmental system is increasing, altering resources and environmental carrying capacity. At present, the interrelationship and internal mechanism among resource and environmental carrying capacity, ecosystem vulnerability, and climate change risk are still unclear, which restricts the further development of theory and method. We preliminarily summarized and discussed the basic theory and method system of the research on carrying capacity of regional resources and environment. Furthermore, we advocated to develop the cascade relations of “carrying capacity of biological population development-carrying capacity of environmental stress in ecosystems-natural resources supply carrying capacity-natural environment carrying capacity-carrying capacity of social and economic development”. Moreover, the calculation method and conceptual model of multi-dimensional resource and environmental carrying capacity were put forward under each concept framework. This study provided new ideas for the research on the method of resources and environment carrying capacity.

Key words: macroeconomic system, resources and environmental carrying capacity, ecological threshold, resilience ball

赵东升, 张雪梅, 邓思琪, 于贵瑞. 区域资源环境承载力的评价理论及方法讨论[J]. 应用生态学报, 2022, 33(3): 591-602.

ZHAO Dong-sheng, ZHANG Xue-mei, DENG Si-qi, YU Gui-rui. Evaluation theory and method of regional resources and environmental carrying capacity.[J]. Chinese Journal of Applied Ecology, 2022, 33(3): 591-602.

参考文献 55

[1]	Holling CS. Resilience and stability of ecological systems. Annual Review of Ecology & Systematics, 1973, 4: 1-23
[2]	Immerzeel WW, Lutz AF, Andrade M, et al. Importance and vulnerability of the world's water towers. Nature, 2020, 577: 364-369
[3]	Holling CS. Understanding the complexity of economic, ecological, and social systems. Ecosystems, 2001, 4: 390-405
[4]	Scheffer M, Bascompte J, Brock WA, et al. Early-warning signals for critical transitions. Nature, 2009, 461: 53-59
[5]	于贵瑞, 张雪梅, 赵东升, 等. 区域资源环境承载力科学概念及其生态学基础的讨论. 应用生态学报, 2022, 33(3), DOI: 10.13287/j.1001-9332.202203.020
[6]	竺可桢. 论我国气候的几个特点及其与粮食作物生产的关系. 地理学报, 1964, 30(1): 1-13
[7]	黄秉维. 中国农业生产潜力——光合潜力. 地理集刊, 1985(17): 15-22
[8]	石玉林. 充分利用土地资源提高土地生产能力. 自然资源, 1985, 7(1): 8-16
[9]	李忠武, 叶芳毅, 李裕元, 等. 基于逐级递减法的洞庭湖区晚稻生产潜力模拟与预测. 地理研究, 2010, 29(11): 2017-2025
[10]	党安荣, 阎守邕, 吴宏歧, 等. 基于GIS的中国土地生产潜力研究. 生态学报, 2000, 20(6): 910-915
[11]	封志明, 杨艳昭, 张晶, 等. 从栅格到县域:中国粮食生产的资源潜力区域差异分析. 自然资源学报, 2007, 22(5): 747-755
[12]	Rees WE. Revisiting carrying capacity: Area-based indicators of sustainability. Population & Environment, 1996, 17: 195-215
[13]	符国基, 徐恒力, 陈文婷. 海南省自然生态承载力研究. 自然资源学报, 2008, 23(3): 412-421
[14]	Haberl H, Krausmann F, Erb KH, et al. Human appropriation of net primary production. Science, 2002, 296: 1968-1969
[15]	O'Neill DW, Tyedmers PH, Beazley KF. Human appropriation of net primary production (HANPP) in Nova Scotia, Canada. Regional Environmental Change, 2006, 7: 1-14
[16]	龙爱华, 王浩, 程国栋, 等. 黑河流域中游地区净初级生产力的人类占用. 应用生态学报, 2008, 19(4): 853-858
[17]	Huang X, Luo G, Han Q. Temporospatial patterns of human appropriation of net primary production in Central Asia grasslands. Ecological Indicators, 2018, 91: 555-561
[18]	赵东升, 张雪梅. 生态系统多稳态的研究进展. 生态学报, 2021, 41(16): 1-15
[19]	杨光华, 姜燕, 张玉成, 等. 确定地基承载力的新方法. 岩土工程学报, 2014, 36(4): 597-603
[20]	王立辉, 溃坝水流数值模拟与溃坝风险分析研究. 博士论文. 南京: 南京水利科学研究院, 2006
[21]	张继权, 梁警丹, 周道玮. 基于GIS技术的吉林省生态灾害风险评价. 应用生态学报, 2007, 18(8): 1765-1770
[22]	牛文元, 曹明奎. 生态灾害及其对我国的影响. 地球科学进展, 1990, 5(4): 54-58
[23]	刘全友, 陆中臣. 晋冀鲁豫接壤区生态灾害及灾情评估研究. 生态学报, 1999, 19(1): 23-29
[24]	Odum EP, Barrett GW. 陆健健, 王伟, 王天慧, 等, 译. 生态学基础(第五版). 北京: 高等教育出版社, 2009
[25]	李小双, 彭明春, 党承林. 植物自然更新研究进展. 生态学杂志, 2007, 26(12): 2081-2088
[26]	Rockström J, Steffen W, Noone K, et al. A safe operating space for humanity. Nature, 2009, 461: 472-475
[27]	Rockström J, Steffen W, Noone K, et al. Planetary boundaries: Exploring the safe operating space for humanity. Ecology and Society, 2009, 14: 292-292
[28]	陈先鹏, 方恺, 彭建, 等. 资源环境承载力评估新视角:行星边界框架的源起、发展与展望. 自然资源学报, 2020, 35(3): 513-531
[29]	吴玉萍, 董锁成, 宋键峰. 北京市经济增长与环境污染水平计量模型研究. 地理研究, 2002, 21(2): 239-246
[30]	郁珍艳, 李正泉, 高大伟, 等. 浙江省空气质量与大气自净能力的特征分析. 气象, 2017, 43(3): 323-332
[31]	唐颖潇, 韩素芹, 蔡子颖, 等. 2013—2017年天津市大气自净能力与大气颗粒物质量浓度特征分析. 气象与环境学报, 2019, 35(6): 55-66
[32]	葛滢, 王晓月, 常杰. 不同程度富营养化水中植物净化能力比较研究. 环境科学学报, 1999, 19(6): 690-692
[33]	靳亚亚, 李陈, 靳相木. 土地承载力两大法则及其适用性. 水土保持通报, 2019, 39(4): 158-165
[34]	董楠楠, 王有乐. 基于模糊综合评价法和层次分析法的张掖市黑河湿地水质评价. 湖北农业科学, 2016, 55(21): 5535-5539
[35]	霍正文, 孙超. 灰关联综合分析法在石羊河流域生态健康评价中的应用. 地下水, 2017, 39(5): 99-101
[36]	夏军, 王中根, 左其亭. 生态环境承载力的一种量化方法研究——以海河流域为例. 自然资源学报, 2004, 19(6): 786-794
[37]	赵东升, 郭彩贇, 郑度, 等. 生态承载力研究进展. 生态学报, 2019, 39(2): 399-410
[38]	徐延达, 傅伯杰, 吕一河. 基于模型的景观格局与生态过程研究. 生态学报, 2010, 30(1): 212-220
[39]	Lein JK. Mapping environmental carrying capacity using an artificial neural network: A first experiment. Land Degradation & Development, 2010, 6: 17-28
[40]	郭轲, 王立群. 京津冀地区资源环境承载力动态变化及其驱动因子. 应用生态学报, 2015, 26(12): 3818-3826
[41]	Ma JY, Shugart HH, Yan XD, et al. Evaluating carbon fluxes of global forest ecosystems by using an individual tree-based model FORCCHN. Science of the Total Environment, 2017, 586: 939-951
[42]	Woodward I, Smith T, Emanuel W. A global land primary productivity and phytogeography model. Global Biogeochemical Cycles, 1995, 9: 471-490
[43]	Kirschbaum M, Paul KI. Modelling C and N dynamics in forest soils with a modified version of the CENTURY model. Soil Biology & Biochemistry, 2002, 34: 341-354
[44]	Xu RT, Tian HQ, Pan SF, et al. Global ammonia emissions from synthetic nitrogen fertilizer applications in agricultural systems: Empirical and process-based estimates and uncertainty. Global Change Biology, 2019, 25: 314-326
[45]	Churkina G, Tenhunen J, Thornton P, et al. Analyzing the ecosystem carbon dynamics of four European coniferous forests using a biogeochemistry model. Ecosystems, 2003, 6: 168-184
[46]	Van D, Randerson JT, Giglio L, et al. Interannual variability in global biomass burning emissions from 1997 to 2004. Atmospheric Chemistry & Physics, 2006, 6: 3423-3441
[47]	Melillo JM, Mcguire AD, Kicklighter DW, et al. Global climate change and terrestrial net primary production. Nature, 1993, 363: 234-240
[48]	Sitch S, Smith B, Prentice I. Plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology, 2010, 9: 161-185
[49]	Gu FX, Zhang YD, Huang M, et al. Nitrogen deposition and its effect on carbon storage in Chinese forests during 1981-2010. Atmospheric Environment, 2015, 123: 171-179
[50]	Huang Y, Yu Y, Zhang W, et al. Agro-C: A biogeophysical model for simulating the carbon budget of agroecosystems. Agricultural and Forest Meteorology, 2009, 149: 106-129
[51]	Wu SH, Yin YH, Zhao DS, et al. Impact of future climate change on terrestrial ecosystems in China. International Journal of Climatology, 2010, 30: 866-873
[52]	Feng X, Liu G, Chen JM, et al. Net primary productivity of China's terrestrial ecosystems from a process model driven by remote sensing. Journal of Environmental Management, 2007, 85: 563-573
[53]	Wang L, Koike T, Yang DW, et al. Improving the hydrology of the Simple Biosphere Model 2 and its evaluation within the framework of a distributed hydrological model. Journal of Sciences Hydrologiques, 2009, 54: 989-1006
[54]	Ichii K, Hashimoto H, Nemani R, et al. Modeling the interannual variability and trends in gross and net primary productivity of tropical forests from 1982 to 1999. Global and Planetary Change, 2005, 48: 274-286
[55]	O'Neill MMF, Tijerina DT, Condon LE, et al. Assessment of the ParFlow-CLM CONUS 1.0 integrated hydrologic model: Evaluation of hyper-resolution water balance components across the contiguous United States. Geoscientific Model Development, 2021, 14: 7223-7254

区域资源环境承载力的评价理论及方法讨论

Evaluation theory and method of regional resources and environmental carrying capacity.

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 55

相关文章 14

编辑推荐

Metrics

本文评价

[1]	于贵瑞, 郝天象, 杨萌. 中国区域生态恢复和环境治理的生态系统原理及若干学术问题 [J]. 应用生态学报, 2023, 34(2): 289-304.
[2]	张韦萍, 石培基, 赵武生, 黄万状. 黄河上游兰州-西宁城市群资源环境承载力时空分异及障碍因子诊断 [J]. 应用生态学报, 2022, 33(9): 2501-2510.
[3]	于贵瑞, 张雪梅, 赵东升, 邓思琪. 区域资源环境承载力科学概念及其生态学基础的讨论 [J]. 应用生态学报, 2022, 33(3): 577-590.
[4]	于贵瑞, 任小丽, 杨萌, 陈智. 宏观生态系统科学整合研究的多学科知识融合及其技术途径 [J]. 应用生态学报, 2021, 32(9): 3031-3044.
[5]	于贵瑞, 张黎, 何洪林, 杨萌. 大尺度陆地生态系统动态变化与空间变异的过程模型及模拟系统 [J]. 应用生态学报, 2021, 32(8): 2653-2665.
[6]	于贵瑞, 张雷明, 张扬建, 杨萌. 大尺度陆地生态系统状态变化及其资源环境效应的立体化协同联网观测 [J]. 应用生态学报, 2021, 32(6): 1903-1918.
[7]	于贵瑞, 陈智, 张维康, 杨萌. 试论宏观生态系统科学研究的多学科维度基本问题及其方法体系 [J]. 应用生态学报, 2021, 32(5): 1531-1544.
[8]	于贵瑞, 杨萌, 陈智, 张雷明. 大尺度区域生态环境治理及国家生态安全格局构建的技术途径和战略布局 [J]. 应用生态学报, 2021, 32(4): 1141-1153.
[9]	侯利萍, 何萍, 范小杉, 徐杰, 任颖, 李代魁. 生态阈值确定方法综述 [J]. 应用生态学报, 2021, 32(2): 711-718.
[10]	于贵瑞, 陈智, 杨萌, 王秋凤. 大尺度陆地生态系统科学研究的理论基础及其技术体系之探讨 [J]. 应用生态学报, 2021, 32(2): 377-391.
[11]	李代魁, 何萍, 徐杰, 侯利萍. 我国生态系统生态阈值研究基础 [J]. 应用生态学报, 2020, 31(6): 2015-2028.
[12]	汤婷, 任泽, 唐涛, 蔡庆华. 基于附石硅藻的三峡水库入库支流氮、磷阈值 [J]. 应用生态学报, 2016, 27(8): 2670-2678.
[13]	郭轲,王立群**. 京津冀地区资源环境承载力动态变化及其驱动因子 [J]. 应用生态学报, 2015, 26(12): 3818-3826.
[14]	刘继亮1, 2,李锋瑞1,2**,牛瑞雪1, 2,刘长安1, 2,刘七军1,2. 黑河中游干旱绿洲土壤盐渍化对大型土壤动物群落的影响 [J]. 应用生态学报, 2012, 23(06): 1551-1561.