Preprints
https://doi.org/10.5194/hess-2023-151
https://doi.org/10.5194/hess-2023-151
19 Sep 2023
 | 19 Sep 2023
Status: this preprint is currently under review for the journal HESS.

Identification, Mapping and Eco-hydrological Signal Analysis for Groundwater-dependent Ecosystems (GDEs) in Langxi River Basin, North China

Mingyang Li, Fulin Li, Shidong Fu, Huawei Chen, Kairan Wang, Xuequn Chen, and Jiwen Huang

Abstract. Groundwater-dependent ecosystems (GDEs) refer to ecosystems that require access partially or completely to groundwater to maintain their ecological structure and functions, provisioning very important services for the health of land, water, and coastal ecosystems. However, regional identification of GDEs is still difficult in areas affected by climate change and extensive groundwater extraction. To address this issue, taking the Langxi River Basin (LRB), one of the lower tributaries of the Yellow River in North China, as an example, we propose a four-diagnostic criteria framework for identifying the GDEs based on remote sensing, GIS data dredging and hydrogeological surveys. Firstly, the potential GDEs distributions are preliminarily delineated by the topographic features and the differences of vegetation water situation, soil moisture in the end of the dry and wet seasons. On this basis, according to the given GDEs identification criteria, three main types of GDEs in the basin including the stream-type GDEs (S-GDEs), vegetation-type GDEs (V-GDEs) and karst aquifer-type GDEs (K-GDEs) are further determined by comparing the relationship between groundwater table and riverbed elevation, vegetation root development depth, and though surveys of karst springs and aquifers. And then the GDEs are mapped using the spatial kernel density function which can represent the characteristics of spatial aggregation distribution. Results show that the potential GDEs are mainly distributed in plain areas and a small part in hilly areas, reflecting the moisture distribution status of waters, vegetation and wetlands in the basin that possibly receive groundwater recharge, however, the true GDEs are concentrated in the riverine and riparian zone, the vegetation-related wetland and the scattered karst spring surroundings which groundwater directly moves toward and into. To verify the reliability of GDEs distributions, ecohydrological signal analysis were also performed in this paper. The analysis of river hydrological process curve and karst spring hydrograph in Shuyuan section showed that the proportion of base flow to river flow is about 54.15 % and S-GDEs still receive spring water recharge even in the extremely dry season. And the analysis of hydrochemical sampling from the karst aquifer, Quaternary aquifer, spring water and surface reservoir water reveals that GDEs are also relished by groundwater. More important, we also found a distinctive ecohydrological signal of GDEs is the presence of millimeter-sized groundwater fauna living in the different types of GDEs. Finally, the validity of the method proposed in the study for identification and mapping of the GDEs is also discussed. It still has some room for improvement if the water, sediments and biotic connectivities between groundwater and GDEs are analyzed by using isotopes and DNA technology under the recommended four-diagnostic criteria framework.

Mingyang Li, Fulin Li, Shidong Fu, Huawei Chen, Kairan Wang, Xuequn Chen, and Jiwen Huang

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on hess-2023-151', Kianoosh Mohammadihadadan, 22 Sep 2023
    • CC2: 'Reply on CC1', Fulin Li, 22 Sep 2023
    • CC3: 'Reply on CC1', Mingyang Li, 25 Sep 2023
      • CC4: 'Reply on CC3', Kianoosh Mohammadihadadan, 29 Sep 2023
  • CC5: 'Comment on hess-2023-151', zhang yunrui, 16 Oct 2023
    • CC6: 'Reply on CC5', Mingyang Li, 18 Oct 2023
      • CC8: 'Reply on CC6', zhang yunrui, 04 Nov 2023
    • CC7: 'Reply on CC5', Fulin Li, 19 Oct 2023
      • CC9: 'Reply on CC7', zhang yunrui, 04 Nov 2023
  • RC1: 'Comment on hess-2023-151', Anonymous Referee #1, 23 Jan 2024
    • AC1: 'Reply on RC1', Mingyang Li, 22 Mar 2024
    • AC3: 'Reply on RC1', Mingyang Li, 26 Apr 2024
  • RC2: 'Comment on hess-2023-151', Anonymous Referee #2, 31 Mar 2024
    • AC2: 'Reply on RC2', Mingyang Li, 26 Apr 2024
  • RC3: 'Comment on hess-2023-151', Anonymous Referee #3, 30 Apr 2024
Mingyang Li, Fulin Li, Shidong Fu, Huawei Chen, Kairan Wang, Xuequn Chen, and Jiwen Huang
Mingyang Li, Fulin Li, Shidong Fu, Huawei Chen, Kairan Wang, Xuequn Chen, and Jiwen Huang

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Short summary
The research on GDEs started earlier, but because there is no good identification and classification method, most of the related research is also concentrated in Europe and Australia. In this study, the lower Yellow River basin in northern China with well-developed karst was selected as the study area, and a four-diagnostic criteria framework for identifying the GDEs based on remote sensing, GIS data dredging and hydrogeological surveys was proposed on the basis of previous studies.