气候变化领域集成服务门户(CCPortal): An Integrated Methodology to Study Riparian Vegetation Dynamics: From Field Data to Impact Modeling

CCPortal

DOI	10.1029/2020MS002094
	An Integrated Methodology to Study Riparian Vegetation Dynamics: From Field Data to Impact Modeling
	Latella M.; Bertagni M.B.; Vezza P.; Camporeale C.
发表日期	2020
ISSN	19422466
卷号	12 期号:8
英文摘要	Riparian environments are highly dynamic ecosystems that support biodiversity and numerous services and that are conditioned by anthropogenic activities and climate change. In this work, we propose an integrated methodology that combines different research approaches—field studies and numerical and analytical modeling—in order to calibrate an ecohydrological stochastic model for riparian vegetation. The model yields vegetation biomass statistics and requires hydrological, topographical, and biological data as input. The biological parameters, namely, the carrying capacity and the flood-related decay rate, are the target of the calibration as they are related to intrinsic features of vegetation and site-specific environmental conditions. The calibration is here performed for two bars located within the riparian zone of the Cinca River (Spain). According to our results, the flood-related decay rate has a spatial dependence that reflects the zonation of different plant species over the study site. The carrying capacity depends on the depth of the phreatic surface, and it is adequately described by a right-skewed curve. The calibrated model well reproduces the actual biogeography of the Cinca riparian zone. The overall percentage absolute difference between the real and the computed biomass amounts to 9.3% and 3.3% for the two bars. The model is further used to predict the future evolution of riparian vegetation in a climate-change scenario. The results show that the change of hydrological regime forecast by future climate projections may induce dramatic reduction of vegetation biomass and strongly modify the Cinca riparian biogeography. © 2020. The Authors.
英文关键词	flow-vegetation interactions; impact models; model calibration; riparian vegetation; stochastic processes
语种	英语
scopus关键词	Biodiversity; Biomass; Climate models; Decay (organic); Ecology; Floods; Stochastic models; Stochastic systems; Vegetation; Absolute difference; Anthropogenic activity; Biological parameter; Climate change scenarios; Future climate projections; Hydrological regime; Integrated methodology; Riparian environments; Climate change; biodiversity; biomass; carrying capacity; climate change; ecological impact; ecological modeling; ecosystem service; human activity; integrated approach; methodology; riparian vegetation; vegetation dynamics; Aragon; Cinca River; Huesca [Aragon]; Spain
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156677
作者单位	Department of Environmental, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy
推荐引用方式 GB/T 7714	Latella M.,Bertagni M.B.,Vezza P.,et al. An Integrated Methodology to Study Riparian Vegetation Dynamics: From Field Data to Impact Modeling[J],2020,12(8).
APA	Latella M.,Bertagni M.B.,Vezza P.,&Camporeale C..(2020).An Integrated Methodology to Study Riparian Vegetation Dynamics: From Field Data to Impact Modeling.Journal of Advances in Modeling Earth Systems,12(8).
MLA	Latella M.,et al."An Integrated Methodology to Study Riparian Vegetation Dynamics: From Field Data to Impact Modeling".Journal of Advances in Modeling Earth Systems 12.8(2020).