Dynamic change of wetland landscape in Changsha based on JRC global surface water data

ZENG Zheli, SHE Jiyun, TANG Zichao, LUO Chuying

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (2) : 9-18.

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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (2) : 9-18. DOI: 10.12302/j.issn.1000-2006.202303019

Dynamic change of wetland landscape in Changsha based on JRC global surface water data

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Abstract

【Objective】 The objectives of this study were to explore the temporal and spatial evolutions of wetland landscape in Changsha from 1999 to 2019, to comprehensively analyze the dynamic-change characteristics of wetland-landscape patterns in Changsha in the same period, and to explore the influence mechanism of natural and human factors on wetland-landscape patterns, so as to provide an important theoretical basis for the protection and rational utilization of wetlands in Changsha. 【Method】 Based on global surface water data (GSWD), combined with meteorological and hydrological data, this paper adopted the methods of wetland distribution information extraction, wetland type classification and landscape pattern index, aiming to achieve long-term and continuous monitoring of the dynamic evolution of annual wetland-landscape patterns in Changsha City from 1999 to 2019 based on the seasonal and fluctuating characteristics of wetlands. In addition, we analyzed the evolution trend of its long time scale, as well as the short-term fluctuation change characteristics. 【Result】 (1) Since 1999, the wetland area in Changsha has been overall increase, with permanent river being the main wetland type. From 2007 to 2009, there was a large fluctuation in wetland landscape, as represented by the transformation of permanent rivers and lakes to seasonal rivers and lakes, respectively, in the early stage, and by the reversal of fragmentation after 2008. The fragmentation degree of wetland-landscape pattern in Changsha continuously intensified until 2017 and later began to gradually recover. (2) The wetland-landscape pattern in Changsha was greatly affected by the natural factors such as precipitation and runoff from the Xiangjiang River and extreme freezing disasters that led to large fluctuations of the wetland-landscape pattern. The wetland landscape pattern in Changsha was also affected by human factors such as growing population and urban expansion that may lead to the intensification, but government policies and measures had a positive effect on wetland restoration. 【Conclusion】 It was feasible to use GSWD to extract wetland information. The wetland area in Changsha had continued to grow, among which permanent river was the main wetland type. The results from this study could provide important scientific references for the protection and rational utilization of wetlands in Changsha.

Key words

wetland / landscape pattern / global surface water data (GSWD) / Changsha City

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ZENG Zheli , SHE Jiyun , TANG Zichao , et al. Dynamic change of wetland landscape in Changsha based on JRC global surface water data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2024, 48(2): 9-18 https://doi.org/10.12302/j.issn.1000-2006.202303019

References

[1]
COSTANZA R, D’ARGE R, DE GROOT R, et al. The value of the world's ecosystem services and natural capital[J]. Nature, 1997, 387(6630):253-260.DOI: 10.1038/387253a0.
[2]
杨苗, 龚家国, 赵勇, 等. 白洋淀区域景观格局动态变化及趋势分析[J]. 生态学报, 2020, 40(20):7165-7174.
YANG M, GONG J G, ZHAO Y, et al. Analysis of dynamic changes and trends in the landscape pattern of the Baiyangdian region[J]. Acta Ecol Sin, 2020, 40(20):7165-7174.DOI: 10.5846/stxb201912302833.
[3]
宗思迪, 刘吉平. 1986—2019年三江平原孤立湿地动态变化研究[J]. 乡村科技, 2020(20):108-109.
ZONG S D, LIU J P. Dynamic changes of isolated wetlands in Sanjiang Plain from 1986 to 2019[J]. Xiang Cun Ke Ji, 2020(20):108-109.DOI: 10.19345/j.cnki.1674-7909.2020.20.064.
[4]
徐振田. 基于Landsat数据的黄河三角洲湿地信息提取及动态变化分析[D]. 青岛: 青岛大学, 2020:9-13.
XU Z T. Information extraction and dynamic change analysis of wetland in Yellow River delta based on Landsat data[D]. Qingdao: Qingdao University, 2020:9-13.
[5]
KAYASTHA N, THOMAS V, GALBRAITH J, et al. Monitoring wetland change using inter-annual landsat time-series data[J]. Wetlands, 2012, 32(6):1149-1162.DOI: 10.1007/s13157-012-0345-1.http://dx.doi.org/10.1007/s13157-012-0345-1
[6]
彭英子. GIS支持下的城市湿地景观格局优化研究:以长沙市为例[D]. 长沙: 湖南师范大学, 2015:16-23.
PENG Y Z. A study on urban wetland landscape pattern optimization under the support of GIS[D]. Changsha: Hunan Normal University, 2015:16-23.
[7]
魏巍. 长沙城市湿地景观格局研究[D]. 长沙: 中南林业科技大学, 2014:28-29.
WEI W. The research on urban wetland landscape pattern in Changsha[D]. Changsha: Central South University of Forestry & Technology, 2014:28-29.
[8]
恭映璧. 长沙城市湿地景观格局时空演变与驱动机制研究[D]. 长沙: 中南林业科技大学, 2013:10-12.
GONG Y B. The spatial-temporal pattern evoluation of wetland landscape and its driving mechanism in Changsha[D]. Changsha: Central South University of Forestry & Technology, 2013:10-12.
[9]
恭映璧, 胡曰利. 长沙市城市湿地景观格局空间梯度变化的分析[J]. 中南林业科技大学学报, 2012, 32(12):1-6.
GONG Y B, HU Y L. An analysis on temporal and spatial heterogeneity of wetland landscape pattern changes in Changsha City[J]. J Cent South Univ For Technol, 2012, 32(12):1-6.DOI: 10.14067/j.cnki.1673-923x.2012.12.010.
[10]
陈燕芬, 牛振国, 胡胜杰, 等. 基于MODIS时间序列数据的洞庭湖湿地动态监测[J]. 水利学报, 2016, 47(9):1093-1104.
CHEN Y F, NIU Z G, HU S J, et al. Dynamic monitoring of Dongting Lake wetland using time-series MODIS imagery[J]. J Hydraul Eng, 2016, 47(9):1093-1104.DOI: 10.13243/j.cnki.slxb.20151245.
[11]
PEKEL J F, COTTAM A, GORELICK N, et al. High-resolution mapping of global surface water and its long-term changes[J]. Nature, 2016, 540(7633):418-422.DOI: 10.1038/nature20584.https://pubmed.ncbi.nlm.nih.gov/27926733/.
[12]
刘言. 湿地水文连通机理与模式分析:以莫莫格国家级自然保护区为例[D]. 长春: 吉林大学, 2020:31-33. DOI: 10.27162/d.cnki.gjlin.2020.000304.
LIU Y. Mechanism and pattern analysis of wetland hydrological connectivity[D]. Changchun: Jilin University, 2020:31-33.
[13]
FENG S L, LIU S G, HUANG Z H, et al. Inland water bodies in China:features discovered in the long-term satellite data[J]. Proc Natl Acad Sci USA, 2019, 116(51):25491-25496.DOI: 10.1073/pnas.1910872116.
[14]
长沙市地方志编纂委员会. 长沙年鉴(2019)[M]. 北京: 方志出版社, 2019:14-23.
Local Chronicles Compilation Committee of Changsha. Changsha year book(2019)[M]. Beijing: Publishing House of Local Records, 2019: 14-23.
[15]
夏文斌. 长沙市湿地保护的调查与思考[J]. 林业与生态, 2016(5):18-20.
XIA W B. Investigation and thinking on wetland protection in Changsha City[J]. For Ecol, 2016(5):18-20.DOI: 10.13552/j.cnki.lyyst.2016.05.007.
[16]
国家质量监督检验检疫总局, 国家标准化管理委员会. 土地利用现状分类:GB/T 21010—2017[S]. 北京: 中国标准出版社, 2017.
General Administration of Quality Supervision,Inspection Quarantine of PRC, Standardization and Administration of the PRC. Current land use classification:GB/T 21010-2017[S]. Beijing: Standards Press of China, 2017.
[17]
孟梦, 田海峰, 邬明权, 等. 基于Google Earth Engine平台的湿地景观空间格局演变分析:以白洋淀为例[J]. 云南大学学报(自然科学版), 2019, 41(2):416-424.
MENG M, TIAN H F, WU M Q, et al. Evolution characteristics analysis of wetland landscape pattern based on Google Earth Engine platform:a case study on Baiyangdian[J]. J Yunnan Univ (Nat Sci Ed), 2019, 41(2):416-424.DOI: 10.7540/j.ynu.20170715.
[18]
武慧智, 姜琦刚, 李远华, 等. 松嫩流域湿地景观动态变化[J]. 吉林大学学报(地球科学版), 2015, 45(1):327-334.
WU H Z, JIANG Q G, LI Y H, et al. Dynamic change of wetland landscape pattern in Songhuajiang-Nenjiang River basin[J]. J Jilin Univ (Earth Sci Ed), 2015, 45(1):327-334.DOI: 10.13278/j.cnki.jjuese.201501307.
[19]
孙姝博, 孙虎, 徐崟尧, 等. 运城黄河湿地景观空间格局变化及其驱动因素[J]. 水生态学杂志, 2021, 42(1):17-25.
SUN S B, SUN H, XU Y Y, et al. Analysis of landscape pattern changes and driving forces in the Yellow River wetland of Yuncheng City[J]. J Hydroecology, 2021, 42(1):17-25.DOI: 10.15928/j.1674-3075.201905070112.
[20]
傅伯杰, 陈利顶, 马克明. 景观生态学原理及应用[M]. 2版. 北京: 科学出版社, 2011:29-51.
FU B J, CHEN L D, MA K M. Principle and application of landscape ecology[M]. 2nd ed. Beijing: Science Press, 2011:29-51.
[21]
李晓雅, 郭青霞, 杜轶. 不同类型村庄撂荒耕地景观格局特征对比分析[J]. 农学学报, 2019, 9(8):19-25.
LI X Y, GUO Q X, DU Y. Abandoned farmland in different types of villages:comparative analysis of landscape pattern characteristics[J]. J Agric, 2019, 9(8):19-25.DOI: 10.11923/j.issn.2095-4050.cjas20190500037.
[22]
张聪聪, 陈效民, 张勇, 等. 气象因子对太湖地区旱作农田土壤水分动态的影响[J]. 中国农业科学, 2013, 46(21):4454-4463.
ZHANG C C, CHEN X M, ZHANG Y, et al. Influence of meteorological factors on soil moisture dynamics of upland soil in Taihu Lake region[J]. Sci Agric Sin, 2013, 46(21):4454-4463.DOI: 10.3864/j.issn.0578-1752.2013.21.007.
[23]
罗金明, 王永洁, 柏林, 等. 乌裕尔河1951—2015年径流量变化对扎龙盐沼演替的影响[J]. 水资源与水工程学报, 2018, 29(4):1-6.
LUO J M, WANG Y J, BAI L, et al. Influence of the runoff variation in Wuyur River Catchment from 1951 to 2015 on the succession of the Zhalong saline marsh[J]. J Water Resour Water Eng, 2018, 29(4):1-6.DOI: 10.11705/j.issn.1672-643X.2018.04.01.
[24]
张宇硕, 陈军, 陈利军, 等. 2000—2010年西伯利亚地表覆盖变化特征:基于GlobeLand30的分析[J]. 地理科学进展, 2015, 34(10):1324-1333.
ZHANG Y S, CHEN J, CHEN L J, et al. Characteristics of land cover change in Siberia based on Globe Land30,2000-2010[J]. Prog Geogr, 2015, 34(10):1324-1333.
[25]
周维, 朱红梅, 刘庆, 等. 湖南省城市紧凑度时空特征及影响因素研究[J]. 湖北农业科学, 2018, 57(11):25-28,35.
ZHOU W, ZHU H M, LIU Q, et al. Comprehensive evaluation of urban compactness and its influencing factors of Hunan Province[J]. Hubei Agric Sci, 2018, 57(11):25-28,35.DOI: 10.14088/j.cnki.issn0439-8114.2018.11.005.
[26]
牛振国, 宫鹏, 程晓, 等. 中国湿地初步遥感制图及相关地理特征分析[J]. 中国科学(D辑:地球科学), 2009, 39(2):188-203.
NIU Z G, GONG P, CHENG X, et al. Preliminary remote sensing mapping of wetlands in China and analysis of related geographical features[J]. Sci China (Ser D (Earth Sci)), 2009, 39(2):188-203.
[27]
陈鹏, 傅世锋, 文超祥, 等. 1989—2010年间厦门湾滨海湿地人为干扰影响评价及景观响应[J]. 应用海洋学学报, 2014, 33(2):167-174.
CHEN P, FU S F, WEN C X, et al. Assessment of impact on coastal wetland of Xiamen Bay and response of landscape pattern from human disturbance from 1989 to 2010[J]. J Appl Oceanogr, 2014, 33(2):167-174.
[28]
刘吉平, 高佳, 董春月. 1954—2015年三江平原沼泽湿地变化的区域分异及影响因素[J]. 生态学报, 2019, 39(13):4821-4831.
LIU J P, GAO J, DONG C Y. Regional differentiation and factors influencing changes in swamps in the Sanjiang Plain from 1954 to 2015[J]. Acta Ecol Sin, 2019, 39(13):4821-4831.
[29]
郭玉静, 王妍, 刘云根, 等. 普者黑岩溶湖泊湿地湖滨带景观格局演变对水质的影响[J]. 生态学报, 2018, 38(5):1711-1721.
GUO Y J, WANG Y, LIU Y G, et al. The effects of landscape pattern evolution in Puzhehei Karst Lake wetland littoral zone on water quality[J]. Acta Ecol Sin, 2018, 38(5):1711-1721.DOI: 10.5846/stxb201703130419.
[30]
何振芳, 牟婷婷, 郭庆春, 等. 1979—2019年大汶河流域湿地时空演变与分异研究[J]. 水资源保护, 2024, 40(2):134-140.
HE Z F, MOU T T, GUO Q C, et al. Spatial-temporal evolution and differentiation study of wetlands in the Dawen River basin from 1979 to 2019[J]. Water Resour Prot, 2024, 40(2):134-140.DOI: 10.3880/j.issn.10046933.2024.02.017.
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