Citation: | DU Yuan-wei, ZHOU Wen, QIN Man, WANG Rui. Carrying capacity evaluation and contribution factor research for marine ecology based on analytic network process[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2018, 37(6): 899-906. DOI: 10.12111/j.mes20180615 |
The carrying capacity evaluation method for marine ecology which can deal with the relationship among indices is constructed based on analytic network process, and it is employed to compute carrying capacity index of marine ecology and analyze contribution factors for China's eleven coastal provinces (region, city) during 2006-2014.The results show that the key indicators which have important influences on marine ecological carrying capacity are regional population size, regional marine GDP, marine aquatic production, ratio of the first two sea water quality levels, and pollutant discharge level directly discharging into the sea.According to the distribution of carrying capacity index, Guangdong, Shandong, Zhejiang are high carrying capacity regions; Fujian, Liaoning, Shanghai are middle carrying capacity regions; Jiangsu, Tianjin, Hebei, Guangxi, Hainan are low carrying capacity regions.According to the distribution of contribution factors, Guangdong, Guangxi, Hebei, Jiangsu, Liaoning, Shandong, Zhejiang belong to the type of social pressure orientation; Shanghai and Tianjin belong to the type of ecological background orientation; Hainan belongs to the type of scientific and technological supporting orientation; Fujian belongs to the type of resource supplying orientation.
[1] |
国家发展改革委.全国海洋经济发展"十三五"规划[Z].2017.
|
[2] |
CHRISTENSEN V, PAULY D.Fish production, catches and the carrying capacity of the world oceans[J].Naga, the ICLARM Quarterly, 1995, 18(3):34-40. https://ideas.repec.org/a/wfi/wfnaga/30724.html
|
[3] |
SILVA C P D.Beach Carrying Capacity Assessment:How important is it?[J].Journal of Coastal Research, 2002, 18(4):190-197. http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_ed62dc7244ef0ac6f0ae4db4e843232f
|
[4] |
BYRON C, BENGTSON D, COSTA-PIERCEB, et al.Integrating science into management:ecological carrying capacity of bivalve shellfish aquaculture[J].Marine Policy, 2011, 35(3):363-370. doi: 10.1016/j.marpol.2010.10.016
|
[5] |
MCCOOL S F, LIME D W.Tourism carrying capacity:tempting fantasy or useful reality[J].Journal of Sustainable Tourism, 2001, 9(5):372-388. doi: 10.1080/09669580108667409
|
[6] |
付会.海洋生态承载力研究[D].青岛: 中国海洋大学, 2009: 55-100. http://www.wanfangdata.com.cn/details/detail.do?_type=degree&id=Y2377208
|
[7] |
靳超, 周劲风, 李耀初, 等.基于系统动力学的海洋生态承载力研究-以惠州市为例[J].海洋环境科学, 2017, 36(4):537-543. doi: 10.13634/j.cnki.mes20170409
|
[8] |
方景清.天津滨海新区海洋经济可持续发展潜力研究[D].青岛: 中国海洋大学, 2011: 38-65. http://cdmd.cnki.com.cn/Article/CDMD-10423-1011231232.htm
|
[9] |
张洁.海洋生态承载力研究[D].大连: 辽宁师范大学, 2013: 36-56. http://www.wanfangdata.com.cn/details/detail.do?_type=degree&id=Y2377208
|
[10] |
狄乾斌, 韩雨汐, 高群.基于改进的AD-AS模型的中国海洋生态综合承载力评估[J].资源与产业, 2015, 17(1):74-78. http://d.old.wanfangdata.com.cn/Periodical/zycy201501012
|
[11] |
狄乾斌, 吴佳璐, 张洁.基于生物免疫学理论的海域生态承载力综合测度研究-以辽宁省为例[J].资源科学, 2013, 35(1):21-29. http://www.cnki.com.cn/Article/CJFDTotal-ZRZY201301007.htm
|
[12] |
狄乾斌, 张洁, 吴佳璐.基于生态系统健康的辽宁省海洋生态承载力评价[J].自然资源学报, 2014, 29(2):256-264. http://cdmd.cnki.com.cn/Article/CDMD-10165-1014134727.htm
|
[13] |
余璇, 胡求光.基于生态系统健康的浙江省海洋生态承载力评价[J].科技与经济, 2017, 30(2):46-50. http://d.old.wanfangdata.com.cn/Periodical/kjyjj201702010
|
[14] |
WANG S H, WANG Y C, SONG M L.Construction and analogue simulation of TERE model for measuring marine bearing capacity in Qingdao[J].Journal of Cleaner Production, 2017, 167:1303-1313. doi: 10.1016/j.jclepro.2017.05.185
|
[15] |
MA P P, YE G Q, PENG X, et al.Development of an index system for evaluation of ecological carrying capacity of marine ecosystems[J].Ocean & Coastal Management, 2017, 144:23-30. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=b47266eee6decd38d077dadccc98b975
|
[16] |
韩增林, 胡伟, 李彬, 等.中国海洋产业研究进展与展望[J].经济地理, 2016, 36(1):89-96. http://d.old.wanfangdata.com.cn/Periodical/jjdl201601013
|
[17] |
狄乾斌, 韩雨汐, 曹可.基于PSR模型的中国海洋生态安全评价研究[J].海洋开发与管理, 2014, 31(7):87-92. http://d.old.wanfangdata.com.cn/Periodical/hykfygl201407018t
|
[18] |
BALDWIN C, LEWISON R L, LIESKE S N, et al.Using the DPSIR framework for transdisciplinary training and knowledge elicitation in the Gulf of Thailand[J].Ocean & Coastal Management, 2016, 134:163-172. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=38661313d412f02f48418734747a9091
|
[19] |
翁骏超, 袁琳, 张利权, 等.象山港海湾生态系统综合承载力评估[J].华东师范大学学报:自然科学版, 2015(4):110-122. http://d.old.wanfangdata.com.cn/Periodical/hdsfdxxb201504012
|
[20] |
韩增林, 胡伟, 钟敬秋, 等.基于能值分析的中国海洋生态经济可持续发展评价[J].生态学报, 2017, 37(8):2563-2574. http://d.old.wanfangdata.com.cn/Periodical/stxb201708008
|
[21] |
王泽宇, 卢函, 孙才志, 等.中国海洋经济系统稳定性评价与空间分异[J].资源科学, 2017, 39(3):566-576. http://d.old.wanfangdata.com.cn/Periodical/zykx201703018
|
[22] |
CHIANG Y M, CHEN W L, HO C H.Application of analytic network process and two-dimensional matrix evaluating decision for design strategy[J].Computers & Industrial Engineering, 2016, 98:237-245. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=09d15846327f35f2692d70da4595d821
|
[23] |
ZHANG J K.Evaluating regional low-carbon tourism strategies using the fuzzy Delphi-analytic network process approach[J].Journal of Cleaner Production, 2017, 141:409-419. doi: 10.1016/j.jclepro.2016.09.122
|
[24] |
国家海洋局.中国海洋统计年鉴[M].北京:海洋出版社, 2007-2015.
|
[25] |
国家统计局.中国环境统计年鉴[M].北京:中国统计出版社, 2007-2015.
|
[26] |
国家统计局人口和就业统计司.中国人口统计年鉴[M].北京:中国统计出版社, 2007-2015.
|
[27] |
中华人民共和国环境保护部.中国近岸海域环境质量公报[R].北京: 中华人民共和国环境保护部, 2007-2015.
|
[1] | JIN Fei, WANG Ying, CONG Yi, ZHANG Mingxing, LI Zhaochuan, LOU Yadi, YAO Ziwei, WANG Juying. Research on environmental priority pollutants in seawater of China by COMMPS and DYNAMEC methods[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2023, 42(6): 892-900. DOI: 10.12111/j.mes.2023-x-0094 |
[2] | ZHANG Xue-wei, HAN Zhen. Prediction and analysis of Argo temperature data by ConvGRU model[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2022, 41(4): 628-635. DOI: 10.12111/j.mes.20210054 |
[3] | LIU Hong-yan, LI Kai-qiang, KANG Bo-lun, QIN Hai-hua. Fe(Ⅲ) reduction and hydrogen production by Fe (Ⅲ)-reducing bacterium Enterococcus sp. ZQ21[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2021, 40(3): 379-383. DOI: 10.12111/j.mes.20200119 |
[4] | WANG Shan, LIU Miao, LIU Hong-yan. Characterization of dissimilatory iron reduction and Cr(VI) reduction by Enterobacter sp. L6[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2020, 39(6): 838-843. DOI: 10.12111/j.mes.20190155 |
[5] | YE Sun-zhong, LUO Dong-lian, YANG Fang, MA Chao, CHEN Hong-mei. Constructing and evaluating an assessment indices system for fishery resources carrying capacity in Dongshan bay[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2018, 37(4): 493-498. DOI: 10.12111/j.cnki.mes20180404 |
[6] | WANG Hong-yu, FENG Rui-qi, LIU Hong-yan. Characterization of cell growth and bioflocculant production by Enterococcus sp.Y025 using macro-algae Laminaria japonica[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2018, 37(3): 338-342. DOI: 10.12111/j.cnki.mes20180304 |
[7] | QIAO Ling, ZHEN Yu, MI Tie-Zhu. Review of the brown tides caused by Aureococcus anophagefferens[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2016, 35(3): 473-480. DOI: 10.13634/j.cnki.mes20160324 |
[8] | WU Tong, ZHENG Hong-bo, ZHANG Shu-shen. A method of selecting emergency disposal schemes for marineship oil spill accidents based on the FAHP-FTOPSIS[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2016, 35(1): 130-136. DOI: 10.13634/j.cnki.mes.2016.01.021 |
[9] | LI Lei, JIANG Mei, SHEN Xin-qiang, WANG Yun-long, WU Qing-yuan, NIU Jun-xiang, XU Gao-peng. Effects of benzo[a]pyrene exposure on biomarkers in Exopalaemon carinicauda liver[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2015, 34(4): 513-518. DOI: 10.13634/j.cnki.mes.2015.04.007 |
[10] | GOU Lu-feng, GAO Qiang, GAO Le-hua. Evaluation on marine ecological security in Shandong Province based on BP neural network[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2015, 34(3): 427-432. DOI: 10.13634/j.cnki.mes.2015.03.018 |