气候变化领域集成服务门户(CCPortal): Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area

CCPortal

DOI	10.5194/hess-23-3525-2019
	Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area
	Marques I.G.; Nascimento J.; Cardoso R.M.; Miguéns F.; Teresa Condesso De Melo M.; Soares P.M.M.; Gouveia C.M.; Kurz Besson C.
发表日期	2019
ISSN	1027-5606
起始页码	3525
结束页码	3552
卷号	23 期号:9
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 index. 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. © Author(s) 2019.
语种	英语
scopus关键词	Climate change; Climate models; Groundwater; Mapping; Risk perception; Sustainable development; Vegetation; Water management; Climate change scenarios; Environmental variables; Geographically weighted regression; Groundwater dependent ecosystems; Groundwater-dependent vegetations; Multi Criteria Analysis; Normalized difference water index; Waterresource management; Groundwater resources; Pinus pinea; Quercus ilex; Quercus suber
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159618
作者单位	Marques, I.G., Instituto Dom Luiz, Faculty of Sciences, University of Lisbon, Campo Grande, Ed. C8, Lisbon, 1749-016, Portugal; Nascimento, J., CERIS - Civil Engineering Research and Innovation for Sustainability, Department of Civil Engineering, Architecture and Georesources, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais 1049-001, Lisbon, Portugal; Cardoso, R.M., Instituto Dom Luiz, Faculty of Sciences, University of Lisbon, Campo Grande, Ed. C8, Lisbon, 1749-016, Portugal; Miguéns, F., CERIS - Civil Engineering Research and Innovation for Sustainability, Department of Civil Engineering, Architecture and Georesources, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais 1049-001, Lisbon, Portugal; Teresa Condesso De Melo, M., CERIS - Civil Engineering Research and Innovation for Sustainability, Department of Civil Engineering, Architecture and Georesources, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais 1049-001, Lisbon, Portugal; Soares, P.M.M., Ins...
推荐引用方式 GB/T 7714	Marques I.G.,Nascimento J.,Cardoso R.M.,et al. Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area[J],2019,23(9).
APA	Marques I.G..,Nascimento J..,Cardoso R.M..,Miguéns F..,Teresa Condesso De Melo M..,...&Kurz Besson C..(2019).Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area.Hydrology and Earth System Sciences,23(9).
MLA	Marques I.G.,et al."Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area".Hydrology and Earth System Sciences 23.9(2019).