Spatio-temporal Pattern Changes and Driving Factors of Water Conservation Function in Beijing-Tianjin-Hebei Region from 2000 to 2019

Li Xin; Zou Changxin; Chen Yanmei; Liu Yanan; Li Hancong

doi:10.13961/j.cnki.stbctb.20220525.004

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Spatio-temporal Pattern Changes and Driving Factors of Water Conservation Function in Beijing-Tianjin-Hebei Region from 2000 to 2019

- Spatio-temporal Pattern Changes and Driving Factors of Water Conservation Function in Beijing-Tianjin-Hebei Region from 2000 to 2019
- Bulletin of Soiland Water Conservation Vol. 42, Issue 5, Pages: 265-274(2022)
- 作者机构：
  
  1. 河北师范大学地理科学学院/河北省环境变化遥感识别技术创新中心/河北省环境演变与生态建设重点实验室,河北,石家庄,050024
  2. 生态环境部南京环境科学研究所,江苏,南京,210042
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20220525.004
  CLC： X171.1
- Published：2022
- 稿件说明：
移动端阅览
Li Xin, Zou Changxin, Chen Yanmei, et al. Spatio-temporal Pattern Changes and Driving Factors of Water Conservation Function in Beijing-Tianjin-Hebei Region from 2000 to 2019[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 265-274.
DOI：

Li Xin, Zou Changxin, Chen Yanmei, et al. Spatio-temporal Pattern Changes and Driving Factors of Water Conservation Function in Beijing-Tianjin-Hebei Region from 2000 to 2019[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 265-274. DOI： 10.13961/j.cnki.stbctb.20220525.004.

摘要

[目的

]

研究京津冀地区水源涵养功能时空格局变化及其驱动因素，为区域协同发展过程中的生态保护和建设工作提供科学支撑。[方法

]

基于研究区基础地理数据和相关参数，利用InVEST模型及水源涵养公式，在ArcGIS平台上采用一元线性回归模型、变异系数和土地利用转移矩阵等空间分析法，分析2000—2019年京津冀地区水源涵养功能时空格局变化特征及主要驱动因素。[结果

]

①京津冀地区多年平均产水量为1.87×10

，产水量空间格局为东高西低。②京津冀地区水源涵养量空间格局呈东北—西南燕山、太行山较高，西北—东南坝上高原、河北平原较低。③水源涵养量年际变化较大，多年平均水源涵养量为7.85×10

，2002年最低，2012年最高。像元尺度上，2000—2019年水源涵养功能增强区面积大于减弱区，增强区占研究区67.49%，减弱区占研究区32.51%。20 a间水源涵养功能呈“中低波动为主，少数区域波动强烈”的特征，低波动、相对低波动区占93.96%，中等波动、相对高波动和高波动区占6.04%。④京津冀地区水源涵养功能变化主要驱动因素为降水、潜在蒸散发和土地利用变化，典型区水源涵养深度与降水量呈显著正相关，与潜在蒸散发量呈显著负相关。在土地利用变化方面，退耕还林还草等生态工程使林地、草地面积提高，水源涵养能力相对增强；而工矿等建设用地扩展侵占林草、耕地面积，水源涵养能力相对降低。[结论

]

京津冀地区水源涵养功能时空格局变化明显，水源涵养功能主要驱动因素是气象因子与土地利用变化。

Abstract

[Objective] Temporal and spatial pattern changes and driving factors of a water conservation function in the Beijing-Tianjin-Hebei region were analyzed in order to provide scientific support for ecological protection and construction in the process of regional coordinated development. [Methods] Using the InVEST model and a water conservation formula with basic geographic data and relevant parameters for the study area

the temporal and spatial pattern change characteristics and main driving factors of a water conservation function in the Beijing-Tianjin-Hebei region from 2000 to 2019 were analyzed. Spatial analysis methods such as univariate linear regression

coefficient of variation

and land use transfer matrix on the ArcGIS platform were also used. [Results] ① The average annual water yield in the Beijing-Tianjin-Hebei area was 1.87×1010 m3. The spatial pattern of water yield was high in the east and low in the west. ② The spatial pattern of water conservation in the Beijing-Tianjin-Hebei region was higher in the Yanshan and Taihang Mountains (varying from northeast to southwest)

and lower in the Bashang Plateau and the Hebei Plain (varying from northwest to southeast). ③ The amount of water conservation varied greatly from year to year

and the annual average amount of water conservation was 7.85×109 m3 (lowest in 2002 and highest in 2012). On the pixel scale

the area of the enhanced area of water conservation function was larger than that of the weakened area from 2000 to 2019. The enhanced area accounting for 67.49% of the study area. The weakened area accounted for 32.51% of the study area. In the past 20 years

the water conservation function could be characterized as being “mainly medium and low fluctuations

with strong fluctuations in a few areas”. The low fluctuation and relatively low fluctuation areas accounted for 93.96% of the total area

and the medium fluctuation

relatively high fluctuation

and high fluctuation areas accounted for 6.04% of the total area. ④ The main driving factors for the change of the water conservation function in the Beijing-Tianjin-Hebei region were precipitation

potential evapotranspiration

and land use changes. The depth of water conservation in typical areas had a significant positive correlation with precipitation

and a significant negative correlation with potential evapotranspiration. With regard to land use changes

ecological projects such as returning farmland to forest and grassland increased the area of forest land and grassland

and relatively increased water conservation capacity. Expansion of industrial and mining construction land encroached on the area of forest

grass

and cultivated land

and water conservation capacity has been relatively reduced. [Conclusion] The temporal and spatial patterns of the water conservation function have noticeable changed in the Beijing-Tianjin-Hebei region. The main driving factors of the water conservation function are meteorological factors and land use changes.

关键词

Keywords

references

戴尔阜,王晓莉,朱建佳,等.生态系统服务权衡:方法、模型与研究框架[J].地理研究,2016,35(6):1005-1016.

De Groot R S, Alkemade R, Braat L, et al. Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making [J]. Ecological Complexity, 2010,7(3):260-272.

侯晓臣,孙伟,李建贵,等.森林生态系统水源涵养能力计量方法研究进展与展望[J].干旱区资源与环境,2018,32(1):121-127.

Brauman K A, Daily G C, Duarte T K, et al. The nature and value of ecosystem services: An overview highlighting hydrologic services [J]. Annual Review of Environment and Resources, 2007,32:67-98.

潘韬,吴绍洪,戴尔阜,等.基于InVEST模型的三江源区生态系统水源供给服务时空变化[J].应用生态学报,2013,24(1):183-189.

欧阳志云,王如松,赵景柱.生态系统服务功能及其生态经济价值评价[J].应用生态学报,1999,10(5):635-640.

魏晓华,李文华,周国逸,等.森林与径流关系: 一致性和复杂性[J].自然资源学报,2005,20(5):761-770.

周佳雯,高吉喜,高志球,等.森林生态系统水源涵养服务功能解析[J].生态学报,2018,38(5):1679-1686.

张彪,李文华,谢高地,等.森林生态系统的水源涵养功能及其计量方法[J].生态学杂志,2009,28(3):529-534.

王军德,李元红,李赞堂,等.基于SWAT模型的祁连山区最佳水源涵养植被模式研究: 以石羊河上游杂木河流域为例[J].生态学报,2010,30(21):5875-5885.

Azimi M, Barzali M, Abdolhosseini M, et al. Examining the impact of rangeland condition on water conservation by using an integrated modelling approach [J]. Land Degradation & Development, 2021,32(13):3711-3719.

杜世勋,郭新亚,荣月静.基于Budyko假设和SCS-CN模型的河源区水源涵养功能研究[J].水土保持研究,2018,25(1):147-152.

许丁雪,吴芳,何立环,等.土地利用变化对生态系统服务的影响:以张家口—承德地区为例[J].生态学报,2019,39(20):7493-7501.

余灏哲,李丽娟,李九一.基于量—质—域—流的京津冀水资源承载力综合评价[J].资源科学,2020,42(2):358-371.

张晓琳,熊立华,林琳,等.五种潜在蒸散发公式在汉江流域的应用[J].干旱区地理,2012,35(2):229-237.

Droogers P,Allen R.Estimating reference evapotranspiration under inaccurate data conditions [J]. Irrigation and Drainage Systems, 2002,16:33-45.

Zhou Wenzuo, Liu Gaohuan, Pan Jianjun, et al. Distribution of available soil water capacity in China [J]. Journal of Geographical Sciences, 2005,15(1):3-12.

Baker T J, Miller S N. Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed [J]. Journal of Hydrology, 2013,486:100-111.

赵亚茹,周俊菊,雷莉,等.基于InVEST模型的石羊河上游产水量驱动因素识别[J].生态学杂志,2019,38(12):3789-3799.

Donohue R J, Roderick M L, McVicar T R. Roots, storms and soil pores: Incorporating key ecohydrological processes into Budyko’s hydrological model [J]. Journal of Hydrology, 2012,436/437:35-50.

包玉斌,李婷,柳辉,等.基于InVEST模型的陕北黄土高原水源涵养功能时空变化[J].地理研究,2016,35(4):664-676.

吕国旭,陈艳梅,邹长新,等.京津冀植被退化的空间格局及人为驱动因素分析[J].生态与农村环境学报,2017,33(5):417-425.

李燕丽,潘贤章,王昌昆,等.2000—2011年广西植被净初级生产力时空分布特征及其驱动因素[J].生态学报,2014,34(18):5220-5228.

潘颖,林杰,佟光臣,等.2004—2014年太湖流域植被覆盖时空变化特征[J].生态与农村环境学报,2018,34(1):37-45.

刘瑞,朱道林.基于转移矩阵的土地利用变化信息挖掘方法探讨[J].资源科学,2010,32(8):1544-1550.

张建国,李晶晶,殷宝库,等.基于转移矩阵的准格尔旗土地利用变化分析[J].水土保持通报,2018,38(1): 131-134.

王燕,高吉喜,金宇,等.基于2005—2015年土地利用变化和InVEST模型的内蒙古巴林右旗农牧交错带生境质量研究[J].生态与农村环境学报,2020,36(5):654-662.

迟妍妍,许开鹏,王晶晶,等.京津冀地区生态空间识别研究[J].生态学报,2018,38(23):8555-8563.

王耕,韩冬雪.基于InVEST模型的大凌河上游汇水区水源涵养功能评估[J].水土保持通报,2018,38(3):206-211.

左其亭,王娇阳,杨峰,等.水源涵养相关概念辨析及水源涵养能力计算方法[J].水利水电科技进展,2022,42(2):13-19.

潘梅,陈天伟,黄麟,等.京津冀地区生态系统服务时空变化及驱动因素[J].生态学报,2020,40(15):5151-5167.

刘娅,朱文博,韩雅,等.基于SOFM神经网络的京津冀地区水源涵养功能分区[J].环境科学研究,2015,28(3):369-376.

张宇硕,吴殿廷.京津冀地区生态系统服务权衡的多尺度特征与影响因素解析[J].地域研究与开发,2019,38(3):141-147.

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