Literature DB >> 22925484

Sensitivity analysis of ecosystem service valuation in a Mediterranean watershed.

María Sánchez-Canales1, Alfredo López Benito, Ana Passuello, Marta Terrado, Guy Ziv, Vicenç Acuña, Marta Schuhmacher, F Javier Elorza.   

Abstract

The services of natural ecosystems are clearly very important to our societies. In the last years, efforts to conserve and value ecosystem services have been fomented. By way of illustration, the Natural Capital Project integrates ecosystem services into everyday decision making around the world. This project has developed InVEST (a system for Integrated Valuation of Ecosystem Services and Tradeoffs). The InVEST model is a spatially integrated modelling tool that allows us to predict changes in ecosystem services, biodiversity conservation and commodity production levels. Here, InVEST model is applied to a stakeholder-defined scenario of land-use/land-cover change in a Mediterranean region basin (the Llobregat basin, Catalonia, Spain). Of all InVEST modules and sub-modules, only the behaviour of the water provisioning one is investigated in this article. The main novel aspect of this work is the sensitivity analysis (SA) carried out to the InVEST model in order to determine the variability of the model response when the values of three of its main coefficients: Z (seasonal precipitation distribution), prec (annual precipitation) and eto (annual evapotranspiration), change. The SA technique used here is a One-At-a-Time (OAT) screening method known as Morris method, applied over each one of the one hundred and fifty four sub-watersheds in which the Llobregat River basin is divided. As a result, this method provides three sensitivity indices for each one of the sub-watersheds under consideration, which are mapped to study how they are spatially distributed. From their analysis, the study shows that, in the case under consideration and between the limits considered for each factor, the effect of the Z coefficient on the model response is negligible, while the other two need to be accurately determined in order to obtain precise output variables. The results of this study will be applicable to the others watersheds assessed in the Consolider Scarce Project.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22925484     DOI: 10.1016/j.scitotenv.2012.07.071

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Optimal Planning and Management of Land Use in River Source Region: A Case Study of Songhua River Basin, China.

Authors:  Yucong Duan; Jie Tang; Zhaoyang Li; Yao Yang; Ce Dai; Yunke Qu; Hang Lv
Journal:  Int J Environ Res Public Health       Date:  2022-05-28       Impact factor: 4.614

2.  Relative Contributions of Land Use and Climate Change to Water Supply Variations over Yellow River Source Area in Tibetan Plateau during the Past Three Decades.

Authors:  Tao Pan; Shaohong Wu; Yujie Liu
Journal:  PLoS One       Date:  2015-04-23       Impact factor: 3.240

3.  Spatio-temporal variations of conservation hotspots based on ecosystem services in Xishuangbanna, Southwest China.

Authors:  Shiliang Liu; Yijie Yin; Fangyan Cheng; Xiaoyun Hou; Shikui Dong; Xue Wu
Journal:  PLoS One       Date:  2017-12-12       Impact factor: 3.240

4.  Analyzing ecological restoration strategies for water and soil conservation.

Authors:  Sandra Isay Saad; Jonathan Mota da Silva; Marx Leandro Naves Silva; João Luis Bittencourt Guimarães; Wilson Cabral Sousa Júnior; Ricardo de Oliveira Figueiredo; Humberto Ribeiro da Rocha
Journal:  PLoS One       Date:  2018-02-09       Impact factor: 3.240

5.  Evaluation of Water Provision Ecosystem Services Associated with Land Use/Cover and Climate Variability in the Winike Watershed, Omo Gibe Basin of Ethiopia.

Authors:  Abreham Berta Aneseyee; Teshome Soromessa; Eyasu Elias; Tomasz Noszczyk; Gudina Legese Feyisa
Journal:  Environ Manage       Date:  2021-12-08       Impact factor: 3.266

6.  Multi-Scenario Simulation of Land Use and Habitat Quality in the Guanzhong Plain Urban Agglomeration, China.

Authors:  Hao Ye; Yongyong Song; Dongqian Xue
Journal:  Int J Environ Res Public Health       Date:  2022-07-17       Impact factor: 4.614

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.