Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.quaint.2015.02.035 |
Bayesian inference of the groundwater depth threshold in a vegetation dynamic model: A case study, lower reach, Tarim River | |
Han, Ming1,2; Zhao, Chengyi1![]() | |
通讯作者 | Zhao, Chengyi |
来源期刊 | QUATERNARY INTERNATIONAL
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ISSN | 1040-6182 |
EISSN | 1873-4553 |
出版年 | 2015 |
卷号 | 380页码:207-215 |
英文摘要 | The responses of eco-hydrological system to anthropogenic and natural disturbances have attracted much attention in recent years. The coupling and simulating feedback between hydrological and ecological components have been realized in several recently developed eco-hydrological models. However, little research has been carried out to study the estimation of threshold parameters in the ecohydrological models. The aim of this paper is to infer the groundwater threshold parameter that connects the ecological and hydrological processes inside eco-hydrological models. A simplified vegetation dynamic model was set up, and used to simulate the vegetation dynamic along the lower reach of the Tarim River. Bayesian inference approach was applied with Markov Chain Monte Carlo sampling method used to infer the probability distribution of the groundwater threshold parameter. The result showed that the simplified model has the capacity to model the vegetation dynamic in the study area. The mean values of inferred groundwater threshold parameters for Yinsu, Kardayi, Alagan, and Yiganbjima are 4.99, 5.59, 5.74, and 5.85 m respectively, which are comparable with prior research, and showed significant spatial variability. The 90% confidence interval of the groundwater threshold parameter is larger than 1.27 m. This threshold parameter inference approach was suggested to be carried out before complex ecohydrological modeling is performed. (C) 2015 Elsevier Ltd and INQUA. All rights reserved. |
英文关键词 | Bayesian inference Groundwater threshold Markov Chain Monte Carlo Eco-hydrological Vegetation dynamic |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000360653300023 |
WOS关键词 | WATER-CONTROLLED ECOSYSTEMS ; DESERT RIPARIAN FOREST ; HYDROLOGIC PROCESSES ; ACTIVE-ROLE ; SPECIES DISTRIBUTION ; SOIL-MOISTURE ; UNCERTAINTY ; STRESS ; PLANTS ; ECOHYDROLOGY |
WOS类目 | Geography, Physical ; Geosciences, Multidisciplinary |
WOS研究方向 | Physical Geography ; Geology |
来源机构 | 中国科学院新疆生态与地理研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/190032 |
作者单位 | 1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Oasis Desert & Ecol, Urumqi 830011, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Han, Ming,Zhao, Chengyi,Feng, Gary,et al. Bayesian inference of the groundwater depth threshold in a vegetation dynamic model: A case study, lower reach, Tarim River[J]. 中国科学院新疆生态与地理研究所,2015,380:207-215. |
APA | Han, Ming,Zhao, Chengyi,Feng, Gary,&Shi, Fengzhi.(2015).Bayesian inference of the groundwater depth threshold in a vegetation dynamic model: A case study, lower reach, Tarim River.QUATERNARY INTERNATIONAL,380,207-215. |
MLA | Han, Ming,et al."Bayesian inference of the groundwater depth threshold in a vegetation dynamic model: A case study, lower reach, Tarim River".QUATERNARY INTERNATIONAL 380(2015):207-215. |
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