Ecosystem service bundles for analyzing tradeoffs in diverse landscapes

Ciara Raudsepp‐Hearne1, Garry Peterson1,2,3, Elena M. Bennett4
1Department of Geography and McGill School of Environment, McGill University, Montreal, QC H3A 2T5, Canada;
2Stockholm Resilience Centre and
3Stockholm Resilience Centre and Department of Physical Geography and Quaternary Geology, Stockholm University, Stockholm SE-106 91, Sweden; and
4Department of Natural Resource Sciences and McGill School of Environment, McGill University, Ste. Anne de Bellevue, QC H9X 3V9, Canada

Tóm tắt

A key challenge of ecosystem management is determining how to manage multiple ecosystem services across landscapes. Enhancing important provisioning ecosystem services, such as food and timber, often leads to tradeoffs between regulating and cultural ecosystem services, such as nutrient cycling, flood protection, and tourism. We developed a framework for analyzing the provision of multiple ecosystem services across landscapes and present an empirical demonstration of ecosystem service bundles, sets of services that appear together repeatedly. Ecosystem service bundles were identified by analyzing the spatial patterns of 12 ecosystem services in a mixed-use landscape consisting of 137 municipalities in Quebec, Canada. We identified six types of ecosystem service bundles and were able to link these bundles to areas on the landscape characterized by distinct social–ecological dynamics. Our results show landscape-scale tradeoffs between provisioning and almost all regulating and cultural ecosystem services, and they show that a greater diversity of ecosystem services is positively correlated with the provision of regulating ecosystem services. Ecosystem service-bundle analysis can identify areas on a landscape where ecosystem management has produced exceptionally desirable or undesirable sets of ecosystem services.

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Tài liệu tham khảo

Ecosystems and Human Well-Being: Synthesis (Island Press, Washington, DC, 2005).

10.5751/ES-01667-110128

10.1890/1540-9295(2007)5[191:TFOPSI]2.0.CO;2

10.1073/pnas.0705797105

10.1073/pnas.0808772106

10.1126/science.1140170

10.1111/j.1461-0248.2009.01387.x

10.1126/science.1124822

10.1890/080025

10.1641/0006-3568(2001)051[0227:HIOEPA]2.0.CO;2

10.1641/0006-3568(2005)055[0027:MAITUS]2.0.CO;2

10.1126/science.1111772

10.1007/s10980-007-9105-7

10.1371/journal.pbio.0040379

10.1073/pnas.0707823105

10.1890/080023

10.1016/j.envsci.2008.11.003

10.1016/j.agee.2008.03.013

10.1007/s10021-008-9170-z

10.1016/j.ecolind.2009.02.015

10.2136/sssaj2000.642659x

10.1016/S0167-1987(02)00139-3

S Hébert Development of a Water Quality Indicator for Rivers in Quebec. Environment Ministry Report EN970102:QE-108 (Envirodoq, Quebec City, 1996).

10.1016/S0921-8009(02)00089-7

The State of Pork Production in Quebec. Quebec Public Audience Bureau, Report 79 (Quebec Public Audience Bureau, Quebec City, 2003).

G Ritchot, G Mercier, S Mascolo Urban Sprawl as a Geographic Phenomenon: The Example of Quebec (University of Laval, Quebec City, 1994).

Regional Statistics Bulletin—Monteregie (Quebec Institute for Statistics, Quebec City, 2006).

10.1093/biomet/37.1-2.17

R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, 2008).

10.1038/163688a0

M Maechler, P Rousseeuw, A Struyf, M Hubert Cluster Analysis Basics and Extensions. R Statistics Package (CRAN, 2005).