Changes in Ecological Land Patterns and Divergence Trends in Yellow River Source Area from 2005 to 2020

Lu Zhibo; Song Qian; Zhao Jianyun; Ding Yuanyuan

doi:10.13961/j.cnki.stbctb.2022.06.034

您当前的位置：

首页 >

文章列表页 >

Changes in Ecological Land Patterns and Divergence Trends in Yellow River Source Area from 2005 to 2020

- Changes in Ecological Land Patterns and Divergence Trends in Yellow River Source Area from 2005 to 2020
- Bulletin of Soiland Water Conservation Vol. 42, Issue 6, Pages: 277-284(2022)
- 作者机构：
  
  1. 青海大学地质工程系,青海,西宁,810016
  2. 青藏高原北缘新生代资源环境省级重点实验室,青海,西宁,810016
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.06.034
  CLC： F301.2
- Published：2022
- 稿件说明：
移动端阅览
Lu Zhibo, Song Qian, Zhao Jianyun, et al. Changes in Ecological Land Patterns and Divergence Trends in Yellow River Source Area from 2005 to 2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 277-284.
DOI：

Lu Zhibo, Song Qian, Zhao Jianyun, et al. Changes in Ecological Land Patterns and Divergence Trends in Yellow River Source Area from 2005 to 2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 277-284. DOI： 10.13961/j.cnki.stbctb.2022.06.034.

摘要

[目的] 探讨黄河源区2005-2020年生态用地格局变化与分异趋势，为识别黄河源区的生态保护关键区域，促进源区的生态环境可持续发展，优化源区生态安全格局，实现国家生态保护战略目标提供理论依据。[方法] 基于黄河源区2005，2010，2015和2020年4期土地利用数据，运用空间动态度模型、转移矩阵模型、生态状况指数模型等方法，分析近16 a黄河源区不同生态用地数量、结构在时间和空间上的分布特征及生态状况的变化。 [结果] ①黄河源区不同生态用地类型数量及空间分布差异明显。基础性生态用地(89.06%)比例最大，辅助性生态用地(1.00%)比例最少，基础性生态用地分布广泛，敏感性生态用地主要分布在东、西部，辅助性生态用地主要集中在北部地区。 ②生态用地之间的转化呈明显的分异趋势。东、西部地区以生态用地的内部转化为主，北部生态用地与非生态用地的相互转化较多，源区整体生态用地功能向提高的趋势发展。 ③黄河源区生态状况指数从时间角度来看，在2005-2015年趋于平稳，在2015-2020年呈断崖式上升；从空间角度来看，源区西部、北部呈现逐年上升，东部呈现逐年下降，但全域依旧为逐年上升趋势。 [结论] 总的来说，黄河源区生态用地空间分散，非生态用地空间集中，16 a来源区生态质量向好的趋势发展。

Abstract

[Objective] The changes and divergence trends of ecological land use patterns in the Yellow River source area from 2005 to 2020 were explored in order to provide a theoretical basis for identifying key ecological protection areas in the Yellow River source area

for promoting the sustainable development of the ecological environment in the source area

for optimizing the ecological security pattern in the source area

and for achieving the national ecological protection strategic goals. [Methods] Based on four periods of land use data in the Yellow River source area in 2005

2010

2015

and 2020

a spatial dynamic attitude model

a transfer matrix model

and an ecological status index model were used to analyze the distribution characteristics of different ecological land quantities and structures in time and space. Additionally

changes in the ecological status in the Yellow River source area over the past 16 years were analyzed. [Results] ① The quantity and spatial distribution of different ecological land types in the Yellow River source area varied significantly. The proportion of basic ecological land (89.06%) was the largest

and the proportion of auxiliary ecological land (1.00%) was the smallest. Basic ecological land was widely distributed

sensitive ecological land was mainly located in the east and west

and auxiliary ecological land was mainly located in the northern area. ② There was a clear trend of divergence in the transformation between ecological lands. In the eastern and western regions

the internal transformation of ecological land was the main focus

while in the northern region there was a more mutual transformation of ecological land and non-ecological land

and the overall ecological land function in the source area was developing towards an increasing trend. From a temporal perspective

the ecological status index of the Yellow River source area tended to be stable from 2005 to 2015

and increased precipitously from 2015 to 2020. From a spatial perspective

the western and northern parts of the source area showed a year-to-year increase

while the eastern part showed a year-to-year decrease

but the entire area remained on a year-to-year upward trend. [Conclusion] In general

the ecological land space of the Yellow River source area was spatially scattered

and the non-ecological land space was spatially concentrated. The ecological quality of the source area has been improving during 16 years.

关键词

Keywords

references

Mooney H A, Duraiappah A, Larigauderie A. Evolution of natural and social science interactions in global change research programs[J]. Proceedings of the National Academy of Sciences of the United States of America, 2013,110(S1):3665-3672.

魏慧,赵文武,张骁,等.基于土地利用变化的区域生态系统服务价值评价:以山东省德州市为例[J].生态学报,2017,37(11):3830-3839.

孟宪红,陈昊,李照国,等.三江源区气候变化及其环境影响研究综述[J].高原气象,2020,39(6):1133-1143.

殷楠,王帅,刘焱序.生态系统服务价值评估:研究进展与展望[J].生态学杂志,2021,40(1):233-244.

杜际增,王根绪,李元寿.近45年长江黄河源区高寒草地退化特征及成因分析[J].草业学报,2015,24(6):5-15.

Yang Jingbiao, Wang Yichen, Guo Luo, et al. Patterns and structures of land use change in the Three Rivers Headwaters Region of China[J]. PLoS One, 2015,10(3):e0119121.

陈亚宁,李稚,范煜婷,等.西北干旱区气候变化对水文水资源影响研究进展[J].地理学报,2014,69(9):1295-1304.

王宁练,姚檀栋,徐柏青,等.全球变暖背景下青藏高原及周边地区冰川变化的时空格局与趋势及影响[J].中国科学院院刊,2019,34(11):1220-1232.

Yu Haiying, Luedeling E, Xu Jianchu. Winter and spring warming result in delayed spring phenology on the Tibetan Plateau[J]. Proceedings of the National Academy of Sciences of the United States of America, 2010,107(51):22151-22156.

陈发虎,傅伯杰,夏军,等.近70年来中国自然地理与生存环境基础研究的重要进展与展望[J].中国科学(地球科学),2019,49(11):1659-1696.

孟宪红,陈昊,李照国,等.三江源区气候变化及其环境影响研究综述[J].高原气象,2020,39(6):1133-1143.

黄河流域生态保护和高质量发展规划纲要[N].人民日报,2021-10-09(1).

贾丹阳,熊祯祯,高岩,等.近30年台特玛湖地区土地利用/土地覆被变化及其影响因素[J].干旱区地理,2021,44(4):1022-1031.

李平星,陈雯,邹露,等.基于一体化生态空间格局的土地利用/覆被变化及其生态环境效:以长三角为例[J].环境科学学报,2021,41(10):3905-3915.

伍博炜,杨胜天,邵南方,等.黄土高原生态脆弱区土地利用变化对生态系统服务价值的影响:以汾河流域为例[J].水土保持研究,2019,26(5):340-345.

高星,杨刘婉青,李晨曦,等.模拟多情景下白洋淀流域土地利用变化及生态系统服务价值的空间响应[J].生态学报,2021,41(20):7974-7988.

王晶,侯兰功,何小勤,等.成都平原城市群2000-2019年土地利用变化及其生态环境效应[J].水土保持通报,2022,42(1):360-368.

刘子川,冯险峰,武爽,等.青藏高原城乡建设用地和生态用地转移时空格局[J].地球信息科学学报,2019,21(8):1207-1217.

张镱锂,刘林山,王兆锋,等.青藏高原土地利用与覆被变化的时空特征[J].科学通报,2019,64(27):2865-2875.

肖东洋,牛海鹏,闫弘轩,等.1990-2018年黄河流域(河南段)土地利用格局时空演变[J].农业工程学报,2020,36(15):271-326.

袁丽华,蒋卫国,申文明,等.2000-2010年黄河流域植被覆盖的时空变化[J].生态学报,2013,33(24):7798-7806.

曹巍,刘璐璐,吴丹,等.三江源国家公园生态功能时空分异特征及其重要性辨识[J].生态学报,2019,39(4):1361-1374.

金浩宇,鞠琴,曲珍,等.长江源区1980-2010年土地利用变化及影响分析研究[J].水资源与水工程学报,2019,30(4):78-85.

许茜,李奇,陈懂懂,等.三江源土地利用变化特征及因素分析[J].生态环境学报,2017,26(11):1836-1843.

许茜,李奇,陈懂懂,等.近40年三江源地区土地利用变化动态分析及预测[J].干旱区研究,2018,35(3):695-704.

董立新,孔金玲,王文科,等.基于RS与GIS的典型地区土地利用/覆盖变化研究:以三江源生态环境重点保护区玛多县为例[J].遥感技术与应用,2005(4):399-403.

乔斌,祝存兄,曹晓云,等.格网尺度下青海玛多县土地利用及生态系统服务价值空间自相关分析[J].应用生态学报,2020,31(5):1660-1672.

吴喜芳,李改欣,潘学鹏,等.黄河源区植被覆盖度对气温和降水的响应研究[J].资源科学,2015,37(3):512-521.

叶红,张廷斌,易桂花,等.2000-2014年黄河源区ET时空特征及其与气候因子关系[J].地理学报,2018,73(11):2117-2134.

王宁练,姚檀栋,徐柏青,等.全球变暖背景下青藏高原及周边地区冰川变化的时空格局与趋势及影响[J].中国科学院院刊,2019,34(11):1220-1232.

谭永忠,赵越,曹宇,等.中国区域生态用地分类的研究进展[J].中国土地科学,2016,30(9):28-36.

卫新东,张健,王筛妮,等.黄河流域2000-2020年生态用地格局变化与分异趋势[J].生态学杂志,2021,40(11):3424-3435.

张艳娇,贾宝全,马明娟,等.山东省安丘市生态用地动态变化[J].生态学杂志,2014,33(7):1874-1881.

张文慧,蔡利平,吕晓.山东省生态用地时空演变格局及其影响因素[J].资源开发与市场,2019,35(6):794-844.

刘纪远,匡文慧,张增祥,等.20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J].地理学报,2014,69(1):3-14.

周书贵,邵全琴,曹巍.近20年黄土高原土地利用/覆被变化特征分析[J].地球信息科学学报,2016,18(2):190-199.

Views

649

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Soil-water characteristics and softening constitutive model of lime-stabilized loess

Research progress and trends of ecological environment of key lakes in Yangtze River economic belt based on bibliometric analysis

Spatiotemporal evolution and influencing mechanisms of coupling coordination of carbon reduction-pollution reduction-green expansion-economic growth in urban agglomeration in middle reaches of Yangtze River

Impact of digital economy on value conversion efficiency of agricultural ecological products in Yangtze River economic belt

Effects of land use and climate change on water-related ecosystem services in Hebei Province

Related Author

No data

Related Institution

No data

⁰