Spatial and Temporal Coupling Relationship Between Alpine Grassland Vegetation and Soil Water Conservation Function

ZHANG Xiaoning; LI Xiaodan; LIU Xingyu; NIAN Lili; YANG Yingbo; LIU Xuelu

doi:10.13870/j.cnki.stbcxb.2023.05.029

您当前的位置：

首页 >

文章列表页 >

Spatial and Temporal Coupling Relationship Between Alpine Grassland Vegetation and Soil Water Conservation Function

更新时间：2025-03-12

- Spatial and Temporal Coupling Relationship Between Alpine Grassland Vegetation and Soil Water Conservation Function
- Vol. 37, Issue 5, Pages: 243-251(2023)
- 作者机构：
  
  1. 甘肃农业大学林学院,兰州,730070
  2. 甘肃农业大学资源与环境学院,兰州,730070
  3. 甘肃农业大学管理学院,兰州,730070
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2023.05.029
  CLC： X171.1
- Published：2023
- 稿件说明：
移动端阅览
ZHANG Xiaoning, LI Xiaodan, LIU Xingyu, et al. Spatial and Temporal Coupling Relationship Between Alpine Grassland Vegetation and Soil Water Conservation Function[J]. 2023, 37(5): 243-251.
DOI：

ZHANG Xiaoning, LI Xiaodan, LIU Xingyu, et al. Spatial and Temporal Coupling Relationship Between Alpine Grassland Vegetation and Soil Water Conservation Function[J]. 2023, 37(5): 243-251. DOI： 10.13870/j.cnki.stbcxb.2023.05.029.

摘要

探究草地植被格局与土壤水源涵养功能的关系

对于评价和有效利用土壤及草地植被资源起着重要的作用。以黄河源区的高寒草地生态系统为研究对象

运用MODIS数据构建土壤水源涵养功能模型并探究其时空变化特征

明确草地植被的时空变化规律

以耦合协调度理论为基础探讨二者耦合关系的季节性变化和空间分布特征。结果表明:(1)2000-2021年土壤水源涵养功能指数和综合植被指数在各个季节上均呈增加趋势

22年的季平均值表现为夏季和秋季高于春季和冬季;(2)2000-2021年各个季节土壤水源涵养功能-植被(SWCF-VEG)的耦合协调度基本上均呈增加趋势

同时各土层深度耦合协调度值的空间分布差异明显

且在季节上表现为夏季>秋季>春季>冬季;(3)2000-2021年季节上各草地类型的SWCF-VEG耦合协调度均为增加趋势;各季节温性草原不同土层深度耦合协调度的平均值均最大

且夏季、秋季和冬季各草地类型的值均表现为10-20 cm>0-10 cm;各草地类型不同季节的耦合协调发展类型各异。研究结果为黄河源区草地植被与土壤水源涵养功能的耦合关系提供高效定量的时空分析方法

可为草地植被-土壤的可持续发展奠定基础。

Abstract

Exploring the relationship between grassland vegetation patterns and soil water conservation function plays an important role in evaluating and effectively utilizing soil and grassland vegetation resources. The study was conducted on the alpine grassland ecosystem in the Yellow River source area

a model of soil water conservation function was constructed using MODIS data and its spatial and temporal variation characteristics were explored. The spatial and temporal variation patterns of grassland vegetation were clarified

and the seasonal variation and spatial distribution characteristics of their coupling relationship were explored based on the theory of coupling coordination. The results showed that:(1) Soil water conservation function index and comprehensive vegetation index showed an increasing trend in all seasons from 2000 to 2021

and the seasonal average values were higher in summer and autumn than those in spring and winter. (2) The coupling coordination of soil water conservation function-vegetation (SWCF-VEG) basically showed an increasing trend in all seasons from 2000 to 2021

and the spatial distribution of the coupling coordination values were significantly varied among different soil layer depths

and the seasonal performance followed the order of summer>autumn>spring>winter. (3) The coupling coordination of SWCF-VEG showed an increasing trend for each grassland type in all seasons from 2000 to 2021. The mean values of coupling coordination for various soil depths in temperate grasslands were the maximum in all seasons

and the values of 10-20 cm were greater than those of 0-10 cm for each grassland type in summer

autumn and winter. The coupling coordination development types varied among grassland types in different seasons. The study could provide an efficient and quantitative spatiotemporal analysis method for the coupling relationship between grassland vegetation and soil water conservation function in the Yellow River source area

and the results could be the basis for the sustainable development of vegetation-soil in grassland.

关键词

Keywords

references

Liu Y Y, Yang Y, Wang Q, et al. Evaluating the responses of net primary productivity and carbon use efficiency of global grassland to climate variability along an aridity gradient[J].Science of the Total Environment,2019,652:671-682.

张雪峰,牛建明,张庆,等.内蒙古锡林河流域草地生态系统水源涵养功能空间格局[J].干旱区研究,2016,33(4):814-821.

Zheng Z T, Zhu W Q, Zhang Y j. Seasonally and spatially varied controls of climatic factors on net primary productivity in alpine grasslands on the Tibetan Plateau[J].Global Ecology and Conservation,2020,21:e00814.

董伟,蒋仲安,苏德,等.长江上游水源涵养区界定及生态安全影响因素分析[J].北京科技大学学报,2010,32(2):139-144.

Wang Y C, Zhao J, Fu J W, et al. Effects of the Grain for Green Program on the water ecosystem services in an arid area of China:Using the Shiyang River Basin as an example[J].Ecological Indicators,2019,104:659-668.

周冰玉,李志威,田世民,等.黄河源区水源涵养能力研究综述[J].水利水电科技进展,2022,42(4):87-93.

Ehrenfeld J G, Ravit B, Elgersma K. Feedback in the plant-soil system[J].Annual Review of Environment and Resources,2005,30(1):75-115.

Gutiérrez-Jurado H A, Vivoni E R, Harrison J B J, et al. Ecohydrology of root zone water fluxes and soil development in complex semiarid rangelands[J].Hydrological Processes,2006,20(15):3289-3316.

李中恺,李小雁,周沙,等.土壤-植被-水文耦合过程与机制研究进展[J].中国科学:地球科学,2022,52(11):2105-2138.

Fatichi S, Ivanov V Y, Caporali E. A mechanistic ecohydrological model to investigate complex interactions in cold and warm water-controlled environments:1. Theoretical framework and plot-scale analysis[J].Journal of Advances in Modeling Earth Systems,2012,4(2):1-31.

吕宸,宫渊波,龚伟,等.川西高寒山地灌丛草甸土壤水文效应特征[J].应用与环境生物学报,2021,27(5):1170-1177.

张智才,闫玉春,邵振艳.草原植被-土壤的关系及对干扰响应差异研究[J].干旱区资源与环境,2009,23(5):121-127.

徐明,张健,刘国彬,等.不同植被恢复模式沟谷地植被-土壤系统耦合关系评价[J].自然资源学报,2016,31(12):2137-2146.

王皓月,郭月峰,徐雅洁,等.九峰山不同林分类型生态恢复植被-土壤系统耦合关系评价[J].生态环境学报,2021,30(12):2309-2316.

彭晚霞,宋同清,曾馥平,等.喀斯特峰丛洼地退耕还林还草工程的植被土壤耦合协调度模型[J].农业工程学报,2011,27(9):305-310.

李豪,卢纪元,魏天兴,等.陕北黄土高原不同微地形下植被-土壤系统耦合特征研究[J].四川农业大学学报,2019,37(2):192-198.

白一茹,阮晓晗,包维斌,等.宁南山区坡面不同土地利用方式下植被-土壤耦合关系评价[J].水土保持研究,2021,28(4):251-258.

Yigini Y, Panagos P. Assessment of soil organic carbon stocks under future climate and land cover changes in Europe[J].Science of the Total Environment,2016,557/558:838-850.

Xu F, Zhao L L, Jia Y W, et al. Evaluation of water conservation function of Beijiang River Basin in Nanling Mountains, China, based on WEP-L model[J].Ecological Indicators,2022,134:e108383.

Li C, Zhang S Q, Cui M Y, et al. Improved vegetation ecological quality of the three-north shelterbelt project region of China during 2000-2020 as evidenced from multiple remotely sensed indicators[J].Remote Sensing,2022,14(22):e5708.

王晓军,武江涛,王兵,等.基于影像分析的黄土丘陵沟壑区土壤水分采样研究[J].水土保持通报,2015,35(1):181-186.

鲍士旦.土壤农化分析[M].3版.北京:中国农业出版社,2000.

Justice C O, Holben B N, Gwynne M D. Monitoring East African vegetation using AVHRR data[J].International Journal of Remote Sensing,1986,7(11):1453-1474.

Ma R, Xia C, Liu Y, et al. Spatiotemporal change of net primary productivity and its response to climate change in temperate grasslands of China[J].Frontiers in Plant Science,2022,13:e108383.

Madonsela S, Cho M A, Ramoelo A, et al. Estimating tree species diversity in the savannah using NDVI and woody canopy cover[J].International Journal of Applied Earth Observation and Geoinformation,2018,66:106-115.

Mngadi M, Odindi J, Mutanga O, et al. Estimating aboveground net primary productivity of reforested trees in an urban landscape using biophysical variables and remotely sensed data[J].Science of the Total Environment,2022,802:e149958.

Zhou F C, Han X Z, Tang S H, et al. An improved model for evaluating ecosystem service values using land use/cover and vegetation parameters[J].Journal of Meteorological Research,2021,35(1):148-156.

刘艳清,黄石德,徐丹丹,等.基于Sentinel-2影像的武夷山国家公园海拔梯度上不同植被类型的水源涵养能力[J].生态学杂志,2022,41(12):2406-2413.

冯娟.基于InVEST模型和SWAT模型的秦岭北麓水源涵养时空格局分析:以沣河中上游流域为例[D].西安:西北大学,2021.

贾雨凡,杨勤丽,胡非池,等.变化环境下的水源涵养能力评估研究进展[J].水利水运工程学报,2022(1):37-47.

轩俊伟,盛建东.2001-2017年新疆玛纳斯河流域植被NDVI时空变化特征[J].林业资源管理,2018(6):30-37.

Bao Y J, Song G B, Li Z H, et al. Study on the spatial differences and its time lag effect on climatic factors of the vegetation in the Longitudinal Range-Gorge Region[J].Chinese Science Bulletin,2007,52(2):42-49.

杨晓晖,张克斌,侯瑞萍.封育措施对半干旱沙地草场植被群落特征及地上生物量的影响[J].生态环境,2005,14(5):730-734.

于忠亮,付世萃,王梓默,等.吉林省辽河流域不同植被类型土壤水源涵养能力分析[J].中国水土保持,2022(7):51-55.

Views

882

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Spatiotemporal Evolution and Prediction of Water Conservation Capacity in Kuye River Basin Based on InVEST and CA-Markov Models

Spatiotemporal Evolution of Trade-off and Synergy Relationship between Water Conservation and Soil Retention Functions in Erhai Lake Basin

Spatiotemporal Evolution and Driving Mechanisms of Water Conservation Function in Beibu Gulf Economic Zone Based on InVEST-PLUS Model

Spatiotemporal Variations and Driving Factors of Water Conservation Function in Southwest Alpine-Gorge Region， China from 1990 to 2020

Spatiotemporal Variations and Influencing Factors of Vegetation Water Use Efficiency in Shaanxi Province

Related Author

GAO Haosong

QIN Fucang

WU Yihan

DONG Xiaoyu

ZHOU Yongqin

DENG Yuzhuang

CHEN Guokun

HUANG Yan

Related Institution

Ecological Protection and Development Coordination Service Center of Dongsheng District

Inner Mongolia Academy of Forestry Sciences

College of Desert Management， Inner Mongolia Agricultural University

Faculty of Land Resources Engineering， Kunming University of Science and Technology

Yunnan Key Laboratory of Quantitative Remote Sensing

⁰