Modelling flood regulation ecosystem services dynamics based on climate and land use information

Author:

Wübbelmann Thea,Bender Steffen,Burkhard BenjaminORCID

Abstract

The concept of ecosystem service (ES) identifies benefits that people obtain from ecosystems with contributions to human well-being. One important ES under external pressure is “flood regulation” that describes an ecosystem’s capacity to reduce flood hazards. Several related studies estimate current flood regulation ES. However, regional climate projections indicate a shift in precipitation patterns. Therefore, Climate and land use changes make it necessary to assess future supply in order to test functionality and adaptation measures. This study focuses on surface retention ES. We used two methods to show the relevance of different landscape scenarios and climate information for flood regulation ES supply: 1) hydraulic simulations with the model HEC-RAS 2) the flood retention capacity indicator suggested by the German MAES-Working group. We simulated two events: the historic flood of 2013 and future hypothetically 10% higher water levels. Furthermore, three land use change scenarios were evaluated. The model results indicate water accumulation by vegetation. Higher water levels of future climate scenarios lead to an increase in flooded areas and higher water volumes. To evaluate flood regulation capacities, an approach solely based on 2D retention areas, such as the MAES-indicator, is not sufficient. Modelling approaches deliver the opportunity for future scenario simulations.

Publisher

Landscape Online

Subject

Nature and Landscape Conservation,Ecology

Reference60 articles.

1. AdV (Arbeitsgemeinschaft der Vermessungsverwaltungen der Länder der Bundesrepublik Deutschland) 2018. Dokumentation zur Modellierung der Geoinformationen des amtlichen Vermessungswesens, ATKIS-Objektartenkatalog Basis-DLM, 408pp.

2. Albert, C., Burkhard, B., Daube, S., Dietrich, K., Engels, B., Frommer, J., Götzl, M., Grêt-Regamey, A., Job-Hoben, B., Keller, R., Marzelli, S., Moning, C., Müller, F., Rabe, S.-E., Ring, I., Schwaiger, E., Schweppe-Kraft, B., Wüstemann, H. 2015. Empfehlungen zur Entwicklung bundesweiter Indikatoren zur Erfassung von Ökosystemleistungen, Diskussionspapier. BfN, Bonn- Bad Godesberg, 53 Seiten.

3. Alexy, M. 2014. Zweidimensionale hydronumerische Modellierung des Abflussgeschehens der Elbe. In: Prüter, J.; Keienburg, T.; Schreck, C., Klimafolgenanpassung im Biosphärenreservat Niedersächsische Elbtalaue - Modellregion für nachhaltige Entwicklung, TuTech Verl., Hamburg, 162pp.

4. ARIES n.d. ARtificial Intelligence for Ecosystem Services. http://aries.integratedmodelling.org/ [accessed 11 December 2019].

5. Baessler, C., Klotz, S. 2019. Introduction to Part II: Drivers and Their Risks for Ecosystems, Their Functions, and Services. In: Schröter, M.; Bonn, A.; Klotz, S.; Seppelt, R.; Baessler, C., Atlas of Ecosystem Services, Springer, Cham, Switzerland, 414pp.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3