# An integrated assessment of the impact of precipitation and groundwater on vegetation growth in arid and semiarid areas

**Authors:** Lin Zhu, Huili Gong, Zhenxue Dai, Tingbao Xu, Xiaosi Su  
**arXiv:** [1412.3503](https://arxiv.org/abs/1412.3503)  
**Date:** 2014-12-11  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/1412.3503v1/

## Key points

- The study explores the impact of precipitation and groundwater on vegetation growth in arid and semiarid areas due to climate change.
- An integrated framework combining remote sensing technology with water flow modeling and field data analysis is developed to assess the relationship between precipitation, groundwater depth, and vegetation growth in northern China.
- The Normalized Difference Vegetation Index (NDVI) and simulated plant water uptake rates derived from remote sensing data are used to quantitatively evaluate vegetation growth.
- Strong correlations are found between groundwater depth, plant water uptake, and NDVI during a ten-year drought period in parts of the study area.
- Numerical modeling results indicate that there is an increased correlation between groundwater depth and vegetation growth during long drought periods.
- Groundwater significantly contributes to sustaining effective soil moisture for vegetation growth under such conditions.
- A decreasing groundwater table poses a great threat to the survival of vegetation during prolonged drought periods.
- Preserving groundwater resources is important for supporting sustainable agriculture practices in regions prone to water scarcity due to climate change.

## Summary

This study explores the impact of precipitation and groundwater on vegetation growth in arid and semiarid areas, where water resources are increasingly scarce due to climate change. The researchers developed an integrated framework that combines remote sensing technology with water flow modeling in the vadose zone and field data analysis to assess the relationship between precipitation, groundwater depth, and vegetation growth in the Xiliao River Plain of northern China. The study quantitatively evaluates vegetation growth using the Normalized Difference Vegetation Index (NDVI) and simulated plant water uptake rates derived from remote sensing data. Pearson correlation equations are used to investigate correlations among precipitation, groundwater depth, and NDVI. The results reveal strong correlations between groundwater depth, plant water uptake, and NDVI during a ten-year drought period in parts of the study area. The numerical modeling results indicate that there is an increased correlation between groundwater depth and vegetation growth during long drought periods. Groundwater significantly contributes to sustaining effective soil moisture for vegetation growth under such conditions. Therefore, a decreasing groundwater table poses a great threat to the survival of vegetation during prolonged drought periods. Overall, this study provides insights into understanding interactions between precipitation and groundwater and their contributions to sustaining vegetation growth in arid and semiarid areas. The findings highlight the importance of preserving groundwater resources as a means of supporting sustainable agriculture practices in regions prone to water scarcity due to climate change.