<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Interregional flows of ecosystem services: Concepts, typology and four cases

Concepts, typology and four cases

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 01 Jun 2018 Netherlands Publisher:Elsevier BVJournal:Ecosystem Services, volume 31, pages 231-241 (issn: 2212-0416,

Authors: Karl-Heinz Erb; Meidad Kissinger; Sarah Wolff; Thomas Kastner; Berta Martín-López; Laura López-Hoffman; Jule Thober; +15 Authors

doi: 10.1016/j.ecoser.2018.02.003

handle: 1871.1/22138945-edf7-4bd7-a50d-45c3029e0680

Interregional flows of ecosystem services: Concepts, typology and four cases

- Summary
- Subjects
- Metrics

Abstract

Conserving and managing global natural capital requires an understanding of the complexity of flows of ecosystem services across geographic boundaries. Failing to understand and to incorporate these flows into national and international ecosystem assessments leads to incomplete and potentially skewed conclusions, impairing society's ability to identify sustainable management and policy choices. In this paper, we synthesise existing knowledge and develop a conceptual framework for analysing interregional ecosystem service flows. We synthesise the types of such flows, the characteristics of sending and receiving socio-ecological systems, and the impacts of ecosystem service flows on interregional sustainability. Using four cases (trade of certified coffee, migration of northern pintails, flood protection in the Danube watershed, and information on giant pandas), we test the conceptual framework and show how an enhanced understanding of interregional telecouplings in socio-ecological systems can inform ecosystem service-based decision making and governance with respect to sustainability goals.

Country

Netherlands

Related Organizations

United States Department of the Interior
United States
Free University of Amsterdam Pure VU Amsterdam
Netherlands
Vrije Universiteit Amsterdam
Netherlands
Michigan State University
United States
Wageningen University & Research
Netherlands

View all View all

Keywords

/dk/atira/pure/subjectarea/asjc/3300/3305; name=Geography, Planning and Development, Effects, Drivers, Monitoring, /dk/atira/pure/core/keywords/nachhaltigkeitswissenschaft; name=Sustainability Science, Effects ; Spatial flows ; Sustainability ; Teleconnection ; Drivers ; Telecoupling, /dk/atira/pure/sustainabledevelopmentgoals/clean_water_and_sanitation; name=SDG 6 - Clean Water and Sanitation, Teleconnection, /dk/atira/pure/subjectarea/asjc/2300/2303; name=Ecology, /dk/atira/pure/sustainabledevelopmentgoals/partnerships; name=SDG 17 - Partnerships for the Goals, SDG 15 - Life on Land, Nature and Landscape Conservation, Planning and Development, Global and Planetary Change, Geography, Ecology, Policy and Law, /dk/atira/pure/subjectarea/asjc/2300/2306; name=Global and Planetary Change, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land, /dk/atira/pure/subjectarea/asjc/1100/1101; name=Agricultural and Biological Sciences (miscellaneous), Agricultural and Biological Sciences (miscellaneous), Telecoupling, Management, Spatial flows, /dk/atira/pure/subjectarea/asjc/2300/2308; name=Management, Monitoring, Policy and Law, Sustainability, /dk/atira/pure/subjectarea/asjc/2300/2309; name=Nature and Landscape Conservation

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	176
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%