干旱区生态环境知识资源中心(Arid): Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area

Arid

DOI	10.5194/hess-23-3525-2019
	Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area
	Marques, Ines Gomes 1; Nascimento, Joao 2; Cardoso, Rita M.1; Miguens, Filipe 2; Condesso de Melo, Maria Teresa 2; Soares, Pedro M. M.1; Gouveia, Celia M.1; Besson, Cathy Kurz 1
通讯作者	Marques, Ines Gomes
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN	1027-5606
EISSN	1607-7938
出版年	2019
卷号	23 期号:9 页码:3525-3552
英文摘要	Mapping the suitability of groundwater-dependent vegetation in semi-arid Mediterranean areas is fundamental for the sustainable management of groundwater resources and groundwater-dependent ecosystems (GDEs) under the risks of climate change scenarios. For the present study the distribution of deep-rooted woody species in southern Portugal was modeled using climatic, hydrological and topographic environmental variables. To do so, Quercus suber, Quercus ilex and Pinus pinea were used as proxy species to represent the groundwater-dependent vegetation (GDV). Model fitting was performed between the proxy species Kernel density and the selected environmental predictors using (1) a simple linear model and (2) a geographically weighted regression (GWR) to account for autocorrelation of the spatial data and residuals. When comparing the results of both models, the GWR modeling results showed improved goodness of fit as opposed to the simple linear model. Climatic indices were the main drivers of GDV density, followed by a much lower influence by groundwater depth, drainage density and slope. Groundwater depth did not appear to be as pertinent in the model as initially expected, accounting only for about 7% of the total variation compared to 88% for climate drivers. The relative proportion of model predictor coefficients was used as weighting factors for multicriteria analysis to create a suitability map for the GDV in southern Portugal showing where the vegetation most likely relies on groundwater to cope with aridity. A validation of the resulting map was performed using independent data of the normalized difference water index (NDWI), a satellite-derived vegetation in-dex. June, July and August of 2005 NDWI anomalies, for the years 1999-2009, were calculated to assess the response of active woody species in the region after an extreme drought. The results from the NDWI anomalies provided an overall good agreement with the suitability to host GDV. The model was considered to be reliable for predicting the distribution of the studied vegetation. The methodology developed to map GDVs will allow for the prediction of the evolution of the distribution of GDV according to climate change and aid stakeholder decision-making concerning priority areas of water resource management.
类型	Article
语种	英语
国家	Portugal
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000484165700001
WOS关键词	CLIMATE-CHANGE SCENARIOS ; QUERCUS-SUBER TREES ; REMOTE-SENSING DATA ; HYDRAULIC LIFT ; WATER-USE ; RIPARIAN VEGETATION ; PINUS-HALEPENSIS ; EXTREME DROUGHT ; SPECTRAL INDEX ; SOUTHERN SPAIN
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216218
作者单位	1.Univ Lisbon, Fac Sci, Inst Dom Luiz, Ed C8, P-1749016 Lisbon, Portugal; 2.Univ Lisbon, CERIS, Dept Civil Engn Architecture & Georesources, Inst Super Tecn, Ave Rovisco Pais, P-1049001 Lisbon, Portugal
推荐引用方式 GB/T 7714	Marques, Ines Gomes,Nascimento, Joao,Cardoso, Rita M.,et al. Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area[J],2019,23(9):3525-3552.
APA	Marques, Ines Gomes.,Nascimento, Joao.,Cardoso, Rita M..,Miguens, Filipe.,Condesso de Melo, Maria Teresa.,...&Besson, Cathy Kurz.(2019).Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area.HYDROLOGY AND EARTH SYSTEM SCIENCES,23(9),3525-3552.
MLA	Marques, Ines Gomes,et al."Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area".HYDROLOGY AND EARTH SYSTEM SCIENCES 23.9(2019):3525-3552.