Determining the Scope of the Residual Gully Region on the Loess Plateau and the Characteristics of Temporal and Spatial Changes of NDVI

LIU Zehui; BI Huaxing; HOU Guirong

doi:10.13870/j.cnki.stbcxb.2021.06.020

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Determining the Scope of the Residual Gully Region on the Loess Plateau and the Characteristics of Temporal and Spatial Changes of NDVI

更新时间：2025-03-12

- Determining the Scope of the Residual Gully Region on the Loess Plateau and the Characteristics of Temporal and Spatial Changes of NDVI
- Vol. 35, Issue 6, Pages: 144-150(2021)
- 作者机构：
  
  1. 北京林业大学水土保持学院,北京,100083
  2. 山西吉县森林生态系统国家野外科学观测研究站, 山西吉县,042200
  3. 水土保持国家林业局重点实验室(北京林业大学),北京,100083
  4. 北京市水土保持工程技术研究中心(北京林业大学),北京,100083
  5. 林业生态工程教育部工程研究中心(北京林业大学),北京,100083
  6. 四川农业大学林学院,成都,611130
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2021.06.020
  CLC： S127;TP79
- Published：2021
- 稿件说明：
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LIU Zehui, BI Huaxing, HOU Guirong. Determining the Scope of the Residual Gully Region on the Loess Plateau and the Characteristics of Temporal and Spatial Changes of NDVI[J]. 2021, 35(6): 144-150.
DOI：

LIU Zehui, BI Huaxing, HOU Guirong. Determining the Scope of the Residual Gully Region on the Loess Plateau and the Characteristics of Temporal and Spatial Changes of NDVI[J]. 2021, 35(6): 144-150. DOI： 10.13870/j.cnki.stbcxb.2021.06.020.

摘要

为探究黄土残塬沟壑区退耕还林（草）工程等林业生态工程实施后林业资源恢复情况，以黄土高原DEM数据及2000—2020年归一化植被指数NDVI数据为基础，采用地形因子计算、水文分析、空间叠加分析等方法，划分了较为完整的黄土残塬沟壑区的范围，并利用趋势分析法、变异系数的相关理论与方法，分析了近21年来黄土残塬沟壑区NDVI时空变化特征。结果表明：（1）黄土残塬沟壑区横跨山西、陕西和甘肃3省，面积约为2.99万km2，沟壑密度为1.91~3.21 km/km2；（2）黄土残塬沟壑区NDVI从时序变化上看，全区21年总平均NDVI值为0.711，2000—2020年该区植被NDVI变化趋势呈快—慢—较快增长；从空间分布来看，植被覆盖度NDVI值总体为0.6~0.9，研究区中部地区植被覆盖度较其他地区高；（3）在时空趋势特征方面，研究区西部和东部部分地区植被覆盖改善程度明显，中部地区植被覆盖情况较为稳定；在时空波动特征方面，该区植被NDVI时序波动稳定，空间波动差异性较大，低波动区域面积占比为48.06%。整体而言，黄土残塬沟壑区主要分布在山西、陕西和甘肃3省，该区2000—2020年间植被NDVI整体呈上升态势，植被覆盖水平整体较高且波动较低，并呈持续改善趋势。研究结果可为黄土残塬沟壑区水土保持工作提供理论基础和科学依据。

Abstract

In order to explore the restoration of forest resources after the implementation of forestry ecological projects such as Grain for Green Project in the residual gully region of the Loess Plateau

the calculation was based on the DEM data of the Loess Plateau and the normalized vegetation index NDVI data from 2000 to 2020. The calculation of topographic factors

hydrological analysis

spatial overlay analysis

etc

were used to divide the relatively complete range of the residual gully region of the Loess Plateau area. The trend analysis and coefficient of variation were used to analyze the characteristics of the temporal and spatial changes of NDVI in the residual gully region of the Loess Plateau area. The results showed that: (1) The residual gully region of the Loess Plateau area spanned three provinces of Shanxi

Shaanxi

and Gansu

covering an area of approximate 29 900 km2

and the gully density was between 1.91~3.21 km/km2. (2) The NDVI of residual gully region of the Loess Plateau area varied with time

the total average NDVI value of the region for 21 years was 0.711

and the change trend of vegetation NDVI in this area from 2000 to 2020 showed a fast-slow-fast growth. In terms of spatial distribution

the vegetation coverage was generally in the range of NDVI value 0.6~0.9. The vegetation coverage in the central part of the study area was higher than those of other areas in the study area. (3) In terms of temporal and spatial trend characteristics

the vegetation coverage in the western and eastern parts of the study area had improved significantly

and the vegetation coverage in the central area of the study area was relatively stable. In terms of temporal and spatial fluctuation characteristics

the vegetation NDVI in this area fluctuated steadily in time series

and the difference in spatial fluctuation was large

and the area of low fluctuation area accounted for 48.06%. On the whole

the residual gully region on the Loess Plateau was mainly distributed in three provinces: Shanxi

Shaanxi and Gansu. From 2000 to 2020

the NDVI of vegetation in this area showed an overall upward trend. The overall vegetation coverage level was relatively high with low fluctuations

and showed a trend of improvement. These results could provide theoretical and scientific basis for soil and water conservation in the residual gully region on the Loess Plateau.

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references

刘玉兰.黄土高原地区水土保持耕作措施区划探讨[D].陕西杨凌:西北农林科技大学, 2009.

Wang H S, Liu D S, Lin H, et al. NDVI and vegetation phenology dynamics under the influence of sunshine duration on the Tibetan plateau[J].International Journal of Climatology, 2015, 35(5):687-698.

董镱, 尹冬勤, 李渊, 等.黄土高原植被的时空变化及其驱动力分析研究[J].中国农业大学学报, 2020, 25(8):120-131.

孙锐, 陈少辉, 苏红波.2000-2016年黄土高原不同土地覆盖类型植被NDVI时空变化[J].地理科学进展, 2019, 38(8):1248-1258.

张丽萍, 张海霞.简论黄土高原地貌类型的空间组合结构:以陇东、陕北、晋西为例[J].山西大学师范学院学报(综合版), 1991, 3(1):88-92.

舒若杰, 高建恩, 赵建民, 等.黄土高原生态分区探讨[J].干旱地区农业研究, 2006, 24(3):143-148.

王万忠, 焦菊英, 马丽梅, 等.黄土高原不同侵蚀类型区侵蚀产沙强度变化及其治理目标[J].水土保持通报, 2012, 32(5):1-7.

李小芳, 张霞, 朱莉莉, 等.晋西残塬沟壑区水土保持措施体系研究[J].水利规划与设计, 2019(9):157-160.

王雨山, 潘建永.基于包气带剖面研究黄土地下水补给[J].地质论评, 2019, 65(增刊1):15-16.

袁晓波, 尚振艳, 牛得草, 等.黄土高原生态退化与恢复[J].草业科学, 2015, 32(3):363-371.

姚建民.黄土残塬沟壑区土地开发适宜性评价方法研究[J].自然资源学报, 1994, 9(2):185-192.

甘枝茂.黄土高原地貌的基本特征[J].中学地理教学参考, 1993(10):5-7.

聂兴山, 王志坚, 赵昌亮, 等.山西省黄土残塬沟壑区"固沟保塬"综合治理规划研究[J].山西水土保持科技, 2019(2):1-8.

中国科学院地理研究所.中国1:100万地貌制图规范(试行)[M].北京:科学出版社, 1987:1-44.

国家发展改革委, 水利部, 农业部, 等.《黄土高原地区综合治理规划大纲(2010-2030年)》[EB/OL].(2010-12-30).http://www.gov.cn/zwgk/2011-01/17/content_1786454.htm.

张磊.基于核心地形因子分析的黄土地貌形态空间格局研究[D].南京:南京师范大学, 2013.

曹泽涛, 方子东, 姚瑾, 等.基于随机森林的黄土地貌分类研究[J].地球信息科学学报, 2020, 22(3):452-463.

金凯, 王飞, 韩剑桥, 等.1982-2015年中国气候变化和人类活动对植被NDVI变化的影响[J].地理学报, 2020, 75(5):961-974.

吴霞, 张永宏, 王长军, 等.基于MODIS的宁夏植被覆盖时空变化特征分析[J].江苏农业科学, 2021, 49(2):204-208.

柴亚凡, 周波, 吕忠明, 等.黄土高原残塬沟壑区红土泻溜面防治模式研究[J].中国水土保持, 2014(2):49-51.

李楠, 韩金锋, 阳维宗, 等.2000-2019年若尔盖高原植被生长季NDVI时空变化特征研究[J].西南林业大学学报(自然科学), 2021, 41(1):133-139.

黄麟, 曹巍, 巩国丽, 等.2000-2010年中国三北地区生态系统时空变化特征[J].生态学报, 2016, 36(1):107-117.

刘静, 温仲明, 刚成诚.黄土高原不同植被覆被类型NDVI对气候变化的响应[J].生态学报, 2020, 40(2):678-691.

肖强, 陶建平, 肖洋.黄土高原近10年植被覆盖的动态变化及驱动力[J].生态学报, 2016, 36(23):7594-7602.

张晖, 王晓峰, 余正军.基于ArcGIS的坡面复杂度因子提取与分析:以黄土高原为例[J].华中师范大学学报(自然科学版), 2009, 43(2):323-326.

刘宪锋, 朱秀芳, 潘耀忠, 等.1982-2012年中国植被覆盖时空变化特征[J].生态学报, 2015, 35(16):5331-5342.

Naeem S, Zhang Y Q, Zhang X Z, et al. Both climate and socioeconomic drivers contribute to vegetation greening of the Loess Plateau[J].Science Bulletin, 2021, 66(12):1160-1163.

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