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Glanville K, Sheldon F, Butler D, Capon S. Effects and significance of groundwater for vegetation: A systematic review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 875:162577. [PMID: 36898536 DOI: 10.1016/j.scitotenv.2023.162577] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 02/26/2023] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
Groundwater represents a critical water source for plants, especially during drought, with continuous groundwater availability widely associated with the presence of ecological refugia and the preservation of biodiversity during periods of adverse conditions. Here, we present a systematic quantitative literature review of global groundwater and ecosystem interactions to synthesise current knowledge and identify key knowledge gaps and research priorities through a management lens. Despite increasing research on groundwater dependent vegetation since the late 1990s, significant geographical and ecological biases are evident with papers focused on arid regions or areas with significant anthropogenic changes. Of the 140 papers reviewed, desert and steepe arid landscapes accounted for 50.7 % and desert and xeric shrublands were represented in 37.9 % of papers. A third of papers (34.4 %) quantified groundwater uptake by ecosystems and groundwater contributions to transpiration, with studies examining the influence of groundwater on vegetation productivity, distribution, and composition also well represented. In contrast, groundwater influences on other ecosystem functions are relatively poorly explored. The research biases introduce uncertainty in the transferability of findings between locations and ecosystems limiting the generality of our current understanding. This synthesis contributes to consolidating a solid knowledge base of the hydrological and ecological interrelationships for managers, planners, and other decision-makers that is relevant to the landscapes and environments they manage, so can more effectively deliver ecological and conservation outcomes.
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Affiliation(s)
- K Glanville
- Australian Rivers Institute, Griffith School of Environment, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia; Queensland Herbarium, Mt Coot-tha Road, Toowong, Queensland 4066, Australia.
| | - F Sheldon
- Australian Rivers Institute, Griffith School of Environment, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - D Butler
- Queensland Herbarium, Mt Coot-tha Road, Toowong, Queensland 4066, Australia
| | - S Capon
- Australian Rivers Institute, Griffith School of Environment, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
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Dong S, Liu B, Ma M, Xia M, Wang C. Effects of groundwater level decline to soil and vegetation in arid grassland: a case study of Hulunbuir open pit coal mine. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:1793-1806. [PMID: 35648327 DOI: 10.1007/s10653-022-01292-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 04/30/2022] [Indexed: 06/15/2023]
Abstract
Coal mine in arid and semi-arid area is one of the most severely degraded ecosystems on the earth. The continuous decrease in groundwater level caused by coal mining will inevitably affect biogeochemical environment of the vadose zone, and then lead to the replacement of surface vegetation. Yimin open-pit coal mine was taken as an example to reveal the relationship between the groundwater depth and soil water content (SWC), soil salt content, soil electrical conductivity (SEC), soil organic matter (SOM), soil available potassium (SAK), soil available nitrogen (SAN), vegetation coverage, aboveground biomass and species richness. The results show that, the change of groundwater depth can affect soil properties and then change the characteristics of surface vegetation, and the change of surface vegetation can also react on soil properties. Vegetation coverage and aboveground biomass are negatively correlated with groundwater depth, and positively correlated with SWC, SEC, SOM and SAK. The shallow groundwater table is conducive to the accumulation of SOM, so that the surface biomass and vegetation coverage are high. The higher the surface biomass, the more the SAN is absorbed. Under natural conditions, the relative strength of biological nitrogen fixation and plant absorption determine the content of SAN. In the research area, when the depth of groundwater is less than 0.4 m will cause soil salinization, then lead to low species richness; Species richness is exponentially correlated with groundwater depth and decreases with the increase in groundwater depth.
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Affiliation(s)
- Shaogang Dong
- School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, Inner Mongolia, China
- Key Laboratory of River and Lake Ecology of Inner Mongolia Autonomous Region, Hohhot, 010021, Inner Mongolia, China
| | - Baiwei Liu
- Academic Affair Office, Inner Mongolia University, No. 235 University West Road, Saihan District, Hohhot, 010021, Inner Mongolia, China.
| | - Mingyan Ma
- School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, Inner Mongolia, China
| | - Manhong Xia
- School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, Inner Mongolia, China
| | - Chao Wang
- School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, Inner Mongolia, China
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A multiple-trait analysis of ecohydrological acclimatisation in a dryland phreatophytic shrub. Oecologia 2021; 196:1179-1193. [PMID: 34331567 PMCID: PMC8367881 DOI: 10.1007/s00442-021-04993-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 07/19/2021] [Indexed: 10/26/2022]
Abstract
Water is the main limiting factor for groundwater-dependent ecosystems (GDEs) in drylands. Predicted climate change (precipitation reductions and temperature increases) and anthropogenic activities such as groundwater drawdown jeopardise the functioning of these ecosystems, presenting new challenges for their management. We developed a trait-based analysis to examine the spatiotemporal variability in the ecophysiology of Ziziphus lotus, a long-lived phreatophyte that dominates one of the few terrestrial GDEs of semiarid regions in Europe. We assessed morpho-functional traits and stem water potential along a naturally occurring gradient of depth-to-groundwater (DTGW, 2-25 m) in a coastal aquifer, and throughout the species-growing season. Increasing DTGW and salinity negatively affected photosynthetic and transpiration rates, increasing plant water stress (lower predawn and midday water potential), and positively affected Huber value (sapwood cross-sectional area per leaf area), reducing leaf area and likely, plant hydraulic demand. However, the species showed greater salt-tolerance at shallow depths. Despite groundwater characteristics, higher atmospheric evaporative demand in the study area, which occurred in summer, fostered higher transpiration rates and water stress, and promoted carbon assimilation and water loss more intensively at shallow water tables. This multiple-trait analysis allowed us to identify plant ecophysiological thresholds related to the increase in salinity, but mostly in DTGW (13 m), and in the evaporative demand during the growing season. These findings highlight the existence of tipping points in the functioning of a long-lived phreatophyte in drylands and can contribute to the sustainable management of GDEs in southern Europe, paving the way for further studies on phreatophytic species.
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Topographic, soil, and climate drivers of drought sensitivity in forests and shrublands of the Pacific Northwest, USA. Sci Rep 2020; 10:18486. [PMID: 33116196 PMCID: PMC7595234 DOI: 10.1038/s41598-020-75273-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 10/13/2020] [Indexed: 11/30/2022] Open
Abstract
Climate change is anticipated to increase the frequency and intensity of droughts, with major impacts to ecosystems globally. Broad-scale assessments of vegetation responses to drought are needed to anticipate, manage, and potentially mitigate climate-change effects on ecosystems. We quantified the drought sensitivity of vegetation in the Pacific Northwest, USA, as the percent reduction in vegetation greenness under droughts relative to baseline moisture conditions. At a regional scale, shrub-steppe ecosystems—with drier climates and lower biomass—showed greater drought sensitivity than conifer forests. However, variability in drought sensitivity was considerable within biomes and within ecosystems and was mediated by landscape topography, climate, and soil characteristics. Drought sensitivity was generally greater in areas with higher elevation, drier climate, and greater soil bulk density. Ecosystems with high drought sensitivity included dry forests along ecotones to shrublands, Rocky Mountain subalpine forests, and cold upland sagebrush communities. In forests, valley bottoms and areas with low soil bulk density and high soil available water capacity showed reduced drought sensitivity, suggesting their potential as drought refugia. These regional-scale drought-sensitivity patterns discerned from remote sensing can complement plot-scale studies of plant physiological responses to drought to help inform climate-adaptation planning as drought conditions intensify.
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Ding Y, Xu J, Wang X, Peng X, Cai H. Spatial and temporal effects of drought on Chinese vegetation under different coverage levels. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 716:137166. [PMID: 32069697 DOI: 10.1016/j.scitotenv.2020.137166] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 02/01/2020] [Accepted: 02/05/2020] [Indexed: 06/10/2023]
Abstract
Land surface vegetation dynamics are strongly affected by drought. Thus, understanding the responses of vegetation to drought can inform measures to increase biome stability. In this study, the normalized difference vegetation index (NDVI) and the Palmer drought severity index (PDSI) were utilized to investigate the relationship between vegetation activity and drought across different drought regions and ecological community types from 1982 to 2015. Our results showed that the highest correlation between monthly NDVI and PDSI at different timescales (1-36 months) indicated the degree of drought impact on vegetation. There were diverse responses of vegetation to drought according to the drought features and climatic environment. The northern grassland, cropland, and desert ecosystems were strongly impacted by drought. These vegetation ecosystems had a low sensitivity to drought in southern China. Drought had the strongest impact on grassland in summer, which is the high frequency drought season. The most susceptible ecosystem types to drought were those with homogenous vegetation, especially under long-term drought conditions (such as the Inner Mongolia Plateau dominated by grassland). Under global warming, drought with high-temperature characteristics is expected to become more frequent and severe. Such drought could threaten the survival of plateau grassland, arid plain grassland, and rain-fed cropland, as high temperatures accelerate evaporation, leading to water deficit. However, moist forests showed little threat under normal drought. We suggest that future research should focus on vegetation activity in northern and southwestern China, where the vegetation shows the greatest sensitivity to drought.
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Affiliation(s)
- Yibo Ding
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China; Institute of Water-saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling 712100, China; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China
| | - Jiatun Xu
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China; Institute of Water-saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling 712100, China; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China.
| | - Xiaowen Wang
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China; Institute of Water-saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling 712100, China; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China
| | - Xiongbiao Peng
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China; Institute of Water-saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling 712100, China; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China
| | - Huanjie Cai
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China; Institute of Water-saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling 712100, China; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China.
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Abstract
Iran has different climatic and geographical zones (mountainous and desert areas), mostly arid and semi-arid, which are suffering from land degradation. Desertification as a land degradation process in Iran is created by natural and anthropogenic driving forces. Meteorological drought is a major natural driving force of desertification and occurs due to the extended periods of low precipitation. Scarcity of water, as well as the excessive use of water resources, mainly for agriculture, creates negative water balances and changes in plant cover, and accelerates desertification. Despite various political measures having been taken in the past, desertification is still a serious environmental problem in many regions in Iran. In this study, drought and aridity indices derived from long-term temperature and precipitation data were used in order to show long-term drought occurrence in different climatic zones in Iran. The results indicated the occurrence of severe and extremely severe meteorological droughts in recent decades in the areas studied. Moreover, the De Martonne Aridity Index (IDM) and precipitation variability index (PVI) showed an ongoing negative trend on the basis of long-term data and the conducted regression analysis. Rapid population growth, soil salinization, and poor water resource management are also considered as the main anthropogenic drivers. The percentage of the rural population in Iran is decreasing and the urban area is growing fast. Since the 1970s, the usage of groundwater in Iran has increased around fourfold and the average annual decrease in the groundwater table has been around 0.51 m. The results of the study provide a better ex-post and ex-ante understanding of the occurrence of droughts as key driving forces of the desertification in Iran. Additionally, they can enable policymakers to prepare proper regional-based strategic planning in the future. Desertification cannot be stopped or managed completely, but could be mitigated by the adoption of some proposed sustainable land management strategies.
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Estimating the Probability of Vegetation to Be Groundwater Dependent Based on the Evaluation of Tree Models. ENVIRONMENTS 2016. [DOI: 10.3390/environments3020009] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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