1. 中国水利水电科学研究院内蒙古阴山北麓荒漠草原生态水文野外科学观测研究站,北京,100383
2. Institute of Water Resources for Pastoral Area, Ministry of Water Resources,Hohhot,010020
3. College of Desert Control Science and Engineering, Inner Mongolia Agricultural University,Hohhot,010018
[ "曾令建(1995-),男,甘肃民勤人,硕士研究生,主要从事生态系统服务功能的研究。E-mail:zenglj0210@163.com" ]
纸质出版:2023
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曾令建, 杨振奇, 秦富仓, 等. 植被覆盖变化与土壤保持演变空间异质性研究[J]. 水土保持学报, 2023,37(5):178-188.
ZENG Lingjian, YANG Zhenqi, QIN Fucang, et al. Spatial Heterogeneity of Vegetation Cover Change and Soil Conservation Evolution[J]. 2023, 37(5): 178-188.
曾令建, 杨振奇, 秦富仓, 等. 植被覆盖变化与土壤保持演变空间异质性研究[J]. 水土保持学报, 2023,37(5):178-188. DOI: 10.13870/j.cnki.stbcxb.2023.05.022.
ZENG Lingjian, YANG Zhenqi, QIN Fucang, et al. Spatial Heterogeneity of Vegetation Cover Change and Soil Conservation Evolution[J]. 2023, 37(5): 178-188. DOI: 10.13870/j.cnki.stbcxb.2023.05.022.
为定量研究植被覆盖与土壤保持两者之间的关系及植被覆盖对土壤保持的影响
选取十大孔兑为研究区
利用趋势分析法、空间自相关分析、InVEST模型
重点分析十大孔兑2000-2020年植被覆盖、土壤保持时空变化及植被覆盖变化对土壤保持的作用。结果表明:(1)研究期内
十大孔兑区植被覆盖均呈增加趋势;(2)2000-2020年
土壤保持量随着植被覆盖的增加而增加
说明植被覆盖增加对于土壤侵蚀有明显的抑制作用
对土壤保持服务功能有明显的促进作用;(3)植被覆盖与土壤保持局部空间自相关
Moran's I指数<0
但2000-2020年相关系数逐渐增大
在空间分布上
相关性分布差异明显
"高-高"和"低-低"分布在中游库布齐风沙区以及上游丘陵沟壑区有零星分布
"高-低"和"低-高"分布在上游丘陵沟壑区和下游冲积平原区
主要是上游丘陵沟壑区海拔较高
对于土壤保持能力较强
但植被覆盖度较低
下游冲积平原区主要为农田生态系统
生长季NDVI较高
但土壤抗蚀性差
土壤保持能力较弱。通过对十大孔兑区植被覆盖变化和土壤保持演变及其空间异质性和相关关系进行分析
说明植被覆盖增加在一定程度上对土壤保持有促进作用
同时也为研究区的水土流失治理工作提供一定的参考作用。
In order to quantitatively study the relationship between vegetation cover and soil conservation
as well as the impact of vegetation cover on soil conservation
this study selected the top ten tributaries as the research area
and used trend analysis
spatial autocorrelation analysis
InVEST model to focus on analyzing the temporal and spatial changes of vegetation cover and soil conservation and the effect of vegetation cover change on soil conservation in the top ten tributaries area from 2000 to 2020. The results showed that:(1) During the study period
the vegetation coverage in the top ten tributaries area showed an increasing trend. (2) From 2000 to 2020
the soil conservation capacity increased with the increasing of vegetation cover
which indicated that the increase of vegetation cover had a significant inhibitory effect on soil erosion and had a significant promoting effect on soil conservation service function. (3) Vegetation coverage and soil conservation had local spatial autocorrelation
with Moran's I<0
but the correlation coefficient gradually increased from 2000 to 2020. In terms of the spatial distribution
there were significant differences in correlation distribution. 'High-high' and 'low-low' were sporadically distributed in the middle Kubuqi windy desert area and the upstream hilly and gully area. 'High-low' and 'low-high' distributed in the upstream hilly and gully area and the downstream alluvial plain area. It was mainly because in the upstream hilly and gully area
there was higher altitude and stronger soil conservation ability but lower vegetation coverage. The downstream alluvial plain area was mainly farmland ecosystem
with a high NDVI in the growing season
but poor soil erosion resistance and weak soil conservation ability. Through the analysis of the vegetation cover change and soil conservation evolution
as well as their spatial heterogeneity and correlation in the ten tributaries areas
it indicated that the increase of vegetation cover had a promoting effect on soil conservation to a certain extent
and the results also could provide a certain reference for the soil erosion control work in the study area.
Piao S L, Wang X H, Park T, et al. Characteristics, drivers and feedbacks of global greening[J].Nature Reviews Earth and Environment,2019,1(1):14-27.
Zhao L, Dai A G, Dong B. Changes in global vegetation activity and its driving factors during 1982-2013[J].Agricultural and Forest Meteorology,2018,249:198-209.
Sun X Y, Shan R F, Liu F. Spatio-temporal quantification of patterns, trade-offs and synergies among multiple hydrological ecosystem services in different topographic basins[J]. Journal of Cleaner Production,2020,268:e122338.
朴世龙,方精云.最近18年来中国植被覆盖的动态变化[J].第四纪研究,2001,21(4):294-302.
Sharma I, Tongkumchum P, Ueranantasun A. Regression analysis of normalized difference vegetation index (NDVI) to compare seasonal patterns and 15 year trend of vegetation from east to west of Nepal[J]. Nature Environment and Pollution Technology,2021,20(1):267-273.
Cheng Y, Zhang L J, Zhang Z Q, et al. Spatiotemporal variation and influence factors of vegetation cover in the Yellow River Basin (1982-2021) based on GIMMS NDVI and MOD13A1[J].Water,2022,14(20):e3274.
Liu D Z, Yang F F, Liu S P. Estimating wheat fractional vegetation cover using a density peak k-means algorithm based on hyperspectral image data[J].Journal of Integrative Agriculture,2021,20(11):2880-2891.
林妍敏,李文慧,南雄雄,等.基于地理探测器的宁夏贺兰山植被覆盖度时空分异及驱动因子[J].应用生态学报,2022,33(12):3321-3327.
张耀文,张勃,姚荣鹏,等.2000-2020年渭河流域植被覆盖度及产水量时空变化[J].中国沙漠,2022,42(2):223-233.
刘春艳,朱康文,刘吉平.三峡库区重庆段土地覆盖和生物多样性功能演化及预测[J].农业工程学报,2017,33(19):258-267.
Rafique R, Zhao F, de Jong R, et al. Global and regional variability and change in terrestrial ecosystems net primary production and NDVI:A model-data comparison[J].Remote Sensing,2016,8(3):e177.
卢慧婷,黄琼中,朱捷缘,等.拉萨河流域生态系统类型和质量变化及其对生态系统服务的影响[J].生态学报,2018,38(24):8911-8918.
Yang S L, Bai Y, Alatalo J M, et al. Spatio-temporal changes in water-related ecosystem services provision and trade-offs with food production[J].Journal of Cleaner Production,2021,286:e125316.
曾令建,杨振奇,秦富仓,等.In VEST模型在生态系统功能评价中的应用研究进展[J].内蒙古水利,2022(4):12-14.
赵巧巧.陕北黄土高原典型流域植被恢复状况及其与水沙变化的关系[D].陕西 杨凌:西北农林科技大学,2019.
Molina A, Vanacker V, Rosas M, et al. The effects of nature-based solutions on soil erosion mitigation in the tropical andes//AGU Fall Meeting Abstracts,2020:H181-02.
刘宥延,刘兴元,张博,等.黄土高原丘陵区人工灌草生态系统水土保持功能评估[J].水土保持学报,2020,34(3):84-90,97.
吴志俊,王永强,鄢波,等.基于InVEST模型的鄂尔多斯市土壤侵蚀及土壤保持功能研究[J].水电能源科学,2021,39(8):31-34,98.
张翔.黄河上游十大孔兑地区风水复合侵蚀产沙过程研究[D].西安:西安理工大学,2016.
Anselin L. Local indicators of spatial association-LISA[J].Geographical Analysis,2010,27(2):93-115.
钱彩云,巩杰,张金茜,等.甘肃白龙江流域生态系统服务变化及权衡与协同关系[J].地理学报,2018,73(5):868-879.
Wischmeier W H, Smith D D. Predicting rainfall erosion losses:A guide to conservation planning with the universal soil loss equation[M].Washington D C:United States Department of Agriculture,1978.
Williams J R. The erosion-productivity impact calculator (EPIC) model:A case history[J].Philosophical Transactions of the Royal Society of London Series B:Biological Sciences,1990,329(1255):421-428.
郑颖娟,刘军会,刘洋,等.2000-2018年鄂尔多斯市植被覆盖度变化及驱动因素分析[J].环境科学研究2022,35(11):2458-2468.
管亚兵,杨胜天,周旭,等.黄河十大孔兑流域林草植被覆盖度的遥感估算及其动态研究[J].北京师范大学学报(自然科学版),2016,52(4):458-465.
Ren Z G, Tian Z H, Wei H T, et al. Spatiotemporal evolution and driving mechanisms of vegetation in the Yellow River Basin, China during 2000-2020[J].Ecological Indicators,2022,138:e108832.
滑永春,张恒,王冰,等.1982-2015年内蒙古地区NDVI时空变化及驱动力分析[J].西南林业大学学报(自然科学版),2021,41(6):175-182.
Zhang Y R, He Y, Li Y L, et al. Spatiotemporal variation and driving forces of NDVI from 1982 to 2015 in the Qinba Mountains, China[J].Environmental Science and Pollution Research,2022,29(34):52277-52288.
He J Y, Jiang X H, Lei Y X, et al. Temporal and spatial variation and driving forces of soil erosion on the Loess Plateau before and after the Implementation of the Grain-for-Green Project:A case study in the Yanhe River Basin, China[J].International Journal of Environmental Research and Public Health,2022,19(14):e8446.
郭建英,董智,李锦荣,等.放牧强度对荒漠草原土壤物理性质及其侵蚀产沙的影响[J].中国草地学报,2019,41(3):74-82.
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