Translator Disclaimer
1 March 2012 Mountain Ecosystem Services: Who Cares?
Author Affiliations +
Abstract

Mountain regions provide diverse goods and services to human society. At the same time, mountain ecosystems are sensitive to rapid global development. Over the past 2 decades the number of papers mentioning “ecosystem services” (ESS) has risen exponentially. While the concept holds great potential to improve the societal relevance of conservation efforts, it is at risk of dying of misuse and reduction to a buzzword. The definitions of the term often compete and the utility of the concept is under debate. The present article reviews the literature on mountain ESS to investigate whether the term was understood correctly by the community, and addresses the question whether ESS is a suitable concept to protect mountain regions. We link land use and other physical properties of terrestrial ecosystems with their capacity to provide ESS with a view to mapping the global supply of ESS and we contrast it with population density data as a proxy for the demand for ESS. The spatially explicit assessment shows that we can distinguish between mountain areas where demand and supply are well balanced from mountain areas where demand and supply are unbalanced. For these different types of mountain regions we suggest different approaches to package the concept of ESS into spatial decision-making.

Introduction

Mountain ecosystems provide a vast array of goods and services to humanity, both to people living in the mountains and to people living outside mountains (eg MA 2005; TEEB 2010a): For example, more than half of humankind depends on freshwater that is captured, stored, and purified in mountain regions; from an ecological point of view, mountain regions are hotspots of biodiversity; and from a societal point of view, mountains are of global significance as key destinations for tourist and recreation activities. At the same time, mountain ecosystems are sensitive to rapid global development (eg Körner 2000; Schröter et al 2005). The main pressures result from changes in land use practices, infrastructure development, unsustainable tourism, fragmentation of habitats, and climate change (EEA 2002). While the importance of protecting mountain ecosystems has been widely accepted (eg UN 1992; UNEP 2002), traditional conservation approaches have become a matter of debate, and the concept of ecosystem services (ESS) has risen to prominence (eg Singh 2002; Naidoo et al 2008). Over the past 2 decades research and publications on ESS have grown exponentially (Fisher et al 2009).

The idea of ESS dates back to Westman (1977), who suggested that the social value of the benefits that ecosystems provide could potentially be enumerated so that society can make more informed policy and management decisions. The concept was first termed “ecosystem services” by Ehrlich and Ehrlich in 1981 and gained momentum in scientific literature due to several seminal publications in the 1990s (eg de Groot 1992; Constanza et al 1997; Daily 1997). Currently, the concept is embraced as a bridge between the natural environment and human wellbeing. In popular terms, ESS are the benefits people obtain directly or indirectly from ecosystems (MA 2005). Contrary to traditional conservation approaches focusing on the intrinsic value of nature, the utilitarian concept of ESS explicitly involves beneficiaries, that is, society's demand for services. In mountain areas, where livelihoods are considerably more susceptible to environmental and economic change than those in the lowlands, the concept of ESS that frames the idea of conservation in light of economic benefits can open new revenue streams and make conservation broad-based and commonplace (Chan et al 2006).

Although the concept holds great potential to improve the societal relevance of conservation efforts, it is at risk of dying of misuse and reduction to a buzzword, meeting the fate of the word “sustainability.” The term “ecosystem services” has been defined numerous times, but the definitions often compete and do not standardize the meaning, constraints, and measurement of ESS (Boyd and Banzhaf 2007). Many scholars are beginning to question the clarity of the concept, and others have begun to doubt its utility in practice (eg Ghazoul 2007; Sagoff 2010). If the purpose of the concept is to help appreciate natural systems as vital assets, recognize the central roles these assets play in supporting human wellbeing, and incorporate their material and intangible values into decision-making, the supply of and demand for ESS have to be determined. Indeed, if the demand exceeds the supply, a system cannot be self-sustaining, often resulting in ecological degradation. If there is no demand, ESS are unthreatened, and the concept may not serve as a useful management strategy.

In order to contribute toward a clear delineation of the ESS concept, we review the literature on mountain ESS and investigate whether the concept was understood correctly by the scientific community. In a second step, we address the question whether ESS is a suitable concept for protecting mountain regions and suggest how to apply the concept in order to support spatial decision-making in different mountain areas.

Mountain ecosystem services: a review

Our review made use of 3 databases on the world wide web (Web of Science, ScienceDirect, Web of Knowledge) to search for English-language, peer-reviewed journal articles (excluding reviews) using the term “ecosystem services” and either “mountain,” “ mountainous,” “Alps,” “Alpine,” “Andes,” “Carpathians,” “Himalaya,” or “Kilimanjaro” in their title, abstract, or keywords. We identified a total of 115 studies and analyzed them for their assessment of supply of and demand for ESS. We excluded a total of 22 studies that were not conducted in mountain regions (as defined by UNEP 2002) and an additional 45 studies that mention, but do not concretely deal with, ESS. Appendix 1 provides the list of the remaining studies organized according to the definition of the pathway from ecosystem structure and processes to human wellbeing given in TEEB (2010a) and reproduced in Figure 1. ESS are defined as the direct and indirect contributions of ecosystems to human wellbeing.

Figure 1

The pathway from ecosystem structure and processes to human wellbeing (TEEB 2010a).

i0276-4741-s32-s1-s23-f01.tif

The review shows that only a few studies address supply of and demand for ESS. Of the 93 studies conducted in mountain areas, 48 contributions (52%) quantify ecosystem functions, but only 26 (31%) include a quantitative or qualitative valuation of these functions. Almost half of the latter use global valuation coefficients or similar value transfer methods to value local ESS. Only 14 (15%) of the analyzed studies integrate valuation methods considering the demand for ESS at the study site.

Figure 2 shows the number of publications addressing mountain ESS. Mainstreamed by the Millennium Ecosystem Assessment reports in 2003 and 2005, efforts to put the concept into practice in mountain regions have increased strongly. Nevertheless, more than 80% of the contributions use the concept of ESS as a buzzword, not connecting ecosystem functions with human wellbeing. Only a very small proportion of the studies assess the supply of and demand for ESS. This might result from the still ongoing debate about how to define ESS or from the many uncertain issues that still remain to be resolved to fully integrate the concept of ESS into management (for an overview, see de Groot et al 2010). However, the results raise the question whether ESS is a suitable concept to support the design of management strategies for sustainable development of mountain regions and whether it can innovate traditional conservation planning.

Figure 2

Number of papers addressing mountain ecosystem services identified in a comprehensive literature review. Shown are the proportion of contributions that (1) identify ecosystem functions (ESF), (2) include a valuation of ecosystem services (ESS), and (3) consider local demand for ESS.

i0276-4741-s32-s1-s23-f02.tif

We address this question by globally mapping the distribution of terrestrial ESS and demand for the services. In light of the urgent need for protecting fragile mountain ecosystems, we highlight areas where ecosystems and their services are under pressure. Here, the concept of ESS can provide important support for helping meet conservation objectives, while also ensuring development of a region.

Global supply of and demand for mountain ecosystem services

The increased availability of geo-referenced data boosts the potential to spatially assess ESS by connecting services to mapped physical properties of landscapes (Kienast et al 2009). However, as the lack of appropriate data and the heterogeneity and uncertainty in the interrelationships between properties and services increase with increasing scale (eg Costanza et al 2008), only a few studies provide global spatial assessments of ESS (Constanza et al 1997; Sutton and Constanza 2002; Schröter et al 2005; Metzger et al 2006; Turner et al 2007).

Global-scale assessments in the field of conservation planning are even scarcer. Naidoo et al (2008) present a method for the quantification of 4 ESS (carbon sequestration, carbon storage, grassland production of livestock, water provision) in biophysical units based on complex response functions that capture the link between ESS and land characteristics in sophisticated process models. The study provides valuable information on the global distribution of the selected ESS but is not directly applicable to other services with little process knowledge (Kienast et al 2009).

Burkhard et al (2009) and Kienast et al (2009) present straightforward modeling frameworks at the continental scale that operationalize the links between the characteristics of a given parcel of land and its capacity to provide ESS. The generated maps focus mainly on the capacity to supply services. In a recently published article, Burkhard et al (2011) extend their approach and derive a supply and demand matrix for specific land uses. They show that the more human-dominated the land use, the higher the demands for ESS. Our proxy for demand, that is, population density, thus shares the paradigm proposed by Burkhard et al (2011).

Modeling framework and results

We base our analysis of the global supply of ESS on the methodological framework developed by Kienast et al (2009). In their approach the capacity of any given parcel of land to provide specific terrestrial ESS is derived from binary look-up tables. These tables summarize the potentially supportive (value  =  1) or neutral roles (value  =  0) of selected land characteristics for given ESS. Both the choice of the land characteristics and the look-up tables are driven by literature on ESS at the European scale and by knowledge of an expert panel (5 experts).

In the present modeling framework, we used the look-up tables developed by Kienast et al (2009) and applied them to a global land characteristics raster dataset in 1-km resolution. We restricted our final data set to 4 parameters: land use, elevation, slope, and urban area, and 15 ESS: “wildlife products,” “cultivated products,” “commercial forest products,” “transportation and housing,” “energy,” “climate regulation,” “natural hazard reduction,” “water regulation,” “waste treatment and nutrient cycling,” “erosion prevention,” “biological control,” “habitat function,” “aesthetic information,” “recreation and tourism,” and “cultural and artistic information” (Table 1).

Table 1

Binary links between land characteristics and ecosystem services: 0  =  indifferent role, 1  =  supportive role (based on Kienast et al 2009). (Table extended on next 2 pages.)

i0276-4741-s32-s1-s23-t01.tif

Land use data of the year 2008 were obtained from the MODIS land cover type product from the US Geological Survey (USGS 2009). Slope and elevation were mapped using the GTOPO30 global digital elevation model (USGS 1996), and urban area was derived from the population data set of the Socioeconomic Data and Application Centre (SEDAC 2010).

In order to determine the capacity of each grid cell (1 km2) to provide the selected ESS, we first checked which of the 4 pixel characteristics (land use, elevation, slope, urban area) potentially supports a service (“1” in Table 1). If only one land characteristic supports the service, the resulting capacity is “1”; if all 4 characteristics support the service the resulting capacity is “4.” The term capacity (ranging from 1 to 4 for each service) does not express any amounts (tons, financial value) of an ESS, but rather a score that this service is likely to be supported by the land characteristics of the grid cell. Subsequently we added the “capacity” values for all 15 ESS per grid cell and obtained a final proxy (ESScap) expressing to what degree the land characteristics of the cell support the 15 selected services. If ESScap is high (maximum obtained 39), many services are strongly supported. If ESScap is low (minimum obtained 13), support for the selected 15 services is very limited. Consequently ESScap strongly correlates with the richness of ESS at a given cell of the earth's surface.

As a proxy for the global demand for ESS, we used population density data of the year 2010 from SEDAC (2010) at a resolution of 5 km.

We acknowledge that there are many conceptual problems inherent to this pragmatic approach. Our results, however, help to (1) illustrate that the spatial distribution of supply of and demand for ESS matters, (2) set up a preliminary framework for further refined analysis, and (3) distinguish different applications of how the ESS concept can influence spatial decision-making in mountain regions.

The map showing the capacity (ESScap) of land to provide terrestrial ESS at a global scale reveals that the highest values of ESScap coincides with mountain regions (Figure 3A). This is plausible, since mountain areas have the highest heterogeneity of land use characteristics, and ESScap primarily measures ESS richness. Especially mid-elevated sites at the border of mountain areas potentially support many different services, while the world's highest summits and plateaus carry less capacity to deliver ESS. Figure 3B shows the same map of ESS capacity (ESScap), but overlaid with the world's population of the year 2010. With regard to mountain areas, the population density is highest in the northern part of the Andes and in larger parts of the Himalaya (Figure 3C, D), at the borders of the mountain areas where the potential to supply many different ESS is high. By contrast, larger regions of the mountains in North America (Figure 3E, F) as well as in Europe are less densely populated. Thus, local demand for ESS—contrary to the supply—substantially varies throughout the world's ecosystems. One can distinguish mountain regions with a high capacity to supply ESS and a high local demand from mountain regions with high local supply and low local demand. This pattern may become even more pronounced in the future due to population dynamics: In mountain regions of developing countries, the population has increased a great deal in the last decades, such as by 25% in the Himalaya between 1991 and 2001 (Zutshi 2003). In contrast, many mountain regions in industrialized countries show marginalization tendencies over the past few decades; for example, more than a quarter of all municipalities in the Alps experienced a population decrease over the last 20 years (CIPRA 2007).

Figure 3

(A) Capacity of different mountain regions to provide ecosystem services (ESS). The maps display the proxy ESScap, measuring to what degree the 15 selected ESS are supported by the underlying land characteristics (see text for calculation details). (B) Population density data highlighting regions of high demand for ESS. (C) and (D) High supply of and high demand for ESS in the Himalaya. (E) and (F) High supply of and low demand for ESS in the mountains of North America.

i0276-4741-s32-s1-s23-f03.tif

While the approach shows that a spatially explicit application of the ESS concept can demonstrate the importance of mountain areas in supporting human wellbeing, the approach used here clearly needs further refinement. The binary links between ecosystem properties and the capacity to deliver services should be further elaborated with stakeholders to get a more accurate quantification of the spatially explicit assessments of the capacity to deliver services. We acknowledge that the population density is only a rough proxy for the demand for ESS.

Discussion

Due to their integrative character ESS have a high potential for application in resource and environmental management (eg de Groot et al 2010). Supply of and demand for ESS are equally important issues of the concept (eg Burkhard et al 2011). However, the review of literature on ESS studies in mountain areas revealed that many contributions concentrate only on the supply and the quantification of ecosystem functions. Another considerable fraction of the publications uses global valuation coefficients to value EES based on local ecosystem characteristics. For some ESS, for example, for carbon sequestration, this might be an adequate approach, as supply and demand can be balanced at the global scale. However, for many services, local or regional demand is crucial for developing appropriate management strategies.

We are aware that using population density data as a proxy for ESS demand is a very rough estimate, since not only population dynamics but also people's perceptions and behavior and economic factors determine the local demand (Burkhard et al 2010). Moreover, demand in certain mountain areas can vary according to seasons, depending heavily on the inrush of tourists, which can lead to up to double the number of residents (eg Grêt-Regamey and Kytzia 2007); these seasonal variations are not recorded in CIESIN datasets. Nevertheless, our approach of contrasting the spatially explicit distribution of the capacity of land to deliver ESS with population data allowed for some interesting insights: We were able to distinguish areas where demand and supply are well balanced and areas where the 2 proxies differ widely. The latter are found primarily in areas with high population density (eg the Andes, the Himalaya, and Africa), where the local demand for ESS is high. Here the concept of ESS should especially focus on making apparent local trade-offs between the various ESS and aim at maximizing the “output value” of an ecosystem, that is, the value attached to direct ecosystem services and benefits, while preserving its “insurance value,” that is, the capacity to maintain the benefits in future (TEEB 2010b). Thus, the concept should help support the provision of services that are socially valuable and open new income opportunities for the local population. This strategy helps to meet conservation objectives while ensuring the development of a region. Case studies from such regions (eg Saxena et al 2001; Chettri et al 2007; Turpie et al 2008) demonstrate that local participation and the incorporation of concerns, knowledge, and perceptions of indigenous people is crucial for the success of ESS-based management.

In areas characterized by agricultural abandonment, where traditional farming systems are in decline (eg the Alps or the Pyrenees), the local demand for ESS and their trade-offs are decreasing. The landscape is likely to be conserved without action, but we need to make sure that these ecosystems are resilient to changes. Management strategies should target the maintaining of the “insurance value” of the ecosystems (TEEB 2010b). However, some of the areas are characterized by hotspots of high touristic activities. Here, local demand for ESS is high, and the application of the ESS concept should focus on complementing conservation efforts, especially to support mechanisms where farmers take a role as stewards of the landscape measures that reinforce current support for forest and agricultural systems in recognition of cultural ESS. Such strategies have been suggested by various authors (eg Grêt-Regamey et al 2008b; Quetier et al 2010), who recognized that cultural ESS are the most prominent drivers of the ESS concept at study sites in the Alps and Pyrenees.

Conclusions

While the ESS concept has taken flight and the number of studies on the topic published is increasing exponentially, we need to make sure that this powerful concept—allowing us to link nature and human wellbeing—does not become worthless. Demand for ESS should not exceed the supply of the services. Especially in mountain regions, which are highly vulnerable to socioeconomic and climatic changes, human wellbeing will, on the one hand, depend on the sustainable supply of ESS, and thus on optimal land management ensuring the availability of the resources. On the other hand, human wellbeing will depend on the capacity of the systems and human societies to cope with the impacts of local and global change. Projections of expected impact on the demand for and supply of ESS under shifting socioeconomic, political, and climatic trends will provide a basis to support spatial decision-making at regional scale that optimizes quality of life while securing ESS for a more sustainable form of development.

Open access article: please credit the authors and the full source.

REFERENCES

  1. J. Boyd and S. Banzhaf . 2007. What are ecosystem services? The need for standardized environmental accounting units. Ecological Economics 63:616–626. Google Scholar

  2. B. Burkhard, F. Kroll, and R. Constanza . 2010. Maps of ecosystem services, supply and demand. In: C. J. Cleveland editor. Encyclopedia of Earth. Washington, DC Environmental Information Coalition, National Council for Science and the Environment. Google Scholar

  3. B. Burkhard, F. Kroll, F. Müller, and W. Windhorst . 2009. Landscape's capacities to provide ecosystem services—A concept for land-cover based assessments. Landscape Online 15:1–22. Google Scholar

  4. B. Burkhard, F. Kroll, S. Nedkov, and F. Müller . 2011. Mapping ecosystem service supply, demand and budgets. Ecological Indicators  http://dx.doi.org/10.1016/j.ecolind.2011.06.019.  Google Scholar

  5. J. W. Burt and K. J. Rice . 2009. Not all ski slopes are created equal: Disturbance intensity affects ecosystem properties. Ecological Applications 19 (8):2242–2253. Google Scholar

  6. A. F. Carvajal, A. Feijoo, H. Quintero, and M. A. Rondon . 2009. Soil organic carbon in different land uses of Colombian Andean landscapes. Journal of Soil Science and Plant Nutrition 9 (3):222–235. Google Scholar

  7. K. M. A. Chan, R. Shaw, D. R. Cameron, E. C. Underwood, and G. C. Daily . 2006. Conservation planning for ecosystem services. PLoS Biology 4 (11):2138–2152. Google Scholar

  8. X. Chen, Q. Zhang, K. Zhou, and L. Sun . 2006. Quantitative assessment and analysis of ecological capital in arid areas. Chinese Science Bulletin 51 (1):204–212. Google Scholar

  9. N. Chettri, E. Sharma, B. Shakya, and B. Bajracharya . 2007. Developing forested conservation corridors in the Kangchenjunga landscape, eastern Himalaya. Mountain Research and Development 27 (3):211–214. Google Scholar

  10. F. A. Chisholm 2010. Trade-offs between ecosystem services: Water and carbon in a biodiversity hotspot. Ecological Economics 69:1973–1987. Google Scholar

  11. CIPRA 2007. Wir Alpen! Menschen gestalten Zukunft. 3. Alpenreport. Bern Haupt Verlag.  http://www.cipra.org/de/3-alpenreport; accessed on 5 August 2010.  Google Scholar

  12. R. Constanza, R. d'Arge, R. de Groot, S. Farber, M. Grasso, B. Hannon, K. Limburg, S. Naeem, R. V. O'Neill, J. Paruelo, R. G. Raskin, P. Sutton, and M. van den Belt . 1997. The value of the world's ecosystem services and natural capital. Nature 387:253–260. Google Scholar

  13. R. Constanza, C. Pérez-Maqueo, M. L. Martinez, P. Sutton, S. J. Anderson, and K. M. Mulder . 2008. The value of coastal wetlands for hurricane protection. AMBIO 37 (4):241–248. Google Scholar

  14. B. Currie, S. J. Milton, and J. C. Steenkamp . 2009. Cost-benefit analysis of alien vegetation clearing for water yield and tourism in a mountain catchment in the Western Cape of South Africa. Ecological Economics 68:2574–2579. Google Scholar

  15. G. C. Daily 1997. Nature's Services: Societal Dependence on Natural Ecosystems. Washington, DC Island Press. Google Scholar

  16. R. S. De Groot 1992. Functions of nature: Evaluation of Nature in Environmental Planning, Management and Decision-Making. Groningen Wolters-Noordhoff. Google Scholar

  17. R. S. De Groot, R. Alkemade, L. Braat, L. Hein, and L. Willemen . 2010. Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making. Ecological Complexity 7 (3):260–272. Google Scholar

  18. S. Diaz, S. Lavorel, F. de Bello, F. Quetier, K. Grigulis, and T. M. Robseon . 2007. Incorporating plant functional diversity effects in ecosystem service assessments. PNAS 104 (52):20684–20689. Google Scholar

  19. EEA 2002. Europe's biodiversity—Biogeographical regions and seas. Biogeographical regions in Europe: The Alpine region—Mountains of Europe. European Environment Agency, Copenhagen.  http://www.eea.europa.eu/publications/report_2002_0524_154909/biogeographical-regions-in-europe/alpine.pdf/view; accessed on 30 June 2010.  Google Scholar

  20. R. Ehrlich and A. H. Ehrlich . 1981. Extinction: The Causes and Consequences of the Disappearance of Species. New York Random House. Google Scholar

  21. K. A. Farley 2007. Grasslands to tree plantations: Forest transitions in the Andes of Ecuador. Annals of the Association of American Geographers 97 (4):755–771. Google Scholar

  22. K. A. Farley, E. F. Kelly, and R. G. M. Hofstede . 2004. Soil organic carbon and water retention after conversion of grasslands to pine plantations in the Ecuadorian Andes. Ecosystems 7:729–739. Google Scholar

  23. B. Fisher, R. K. Turner, and P. Morling . 2009. Defining and classifying ecosystem services for decision making. Ecological Economics 68:643–653. Google Scholar

  24. D. Geneletti 2007. Expert panel-based assessment of forest landscapes for land use planning. Mountain Research and Development 27 (3):220–223. Google Scholar

  25. G. Gerold, M. Schawe, and K. Bach . 2008. Hydrometeorologic, pedologic and vegetation patterns along an elevational transect in the montane forest of the Bolivian Yungas. Die Erde 139 (1–2):141–168. Google Scholar

  26. J. Ghazoul 2007. Challenges to the uptake of the ecosystem service rationale for conservation. Conservation Biology 21:1651–1652. Google Scholar

  27. A. Grêt-Regamey, P. Bebi, I. D. Bishop, and W. A. Schmid . 2008a. Linking GIS-based models to value ecosystem services in an Alpine region. Journal of Environmental Management 89:107–208. Google Scholar

  28. A. Grêt-Regamey and S. Kytzia . 2007. Integrating the valuation of ecosystem services into the input–output economics of an Alpine region. Ecological Economics 63:786–798. Google Scholar

  29. A. Grêt-Regamey, A. Walz, and P. Bebi . 2008b. Valuing ecosystem services for sustainable landscape planning in Alpine regions. Mountain Research and Development 28 (2):156–165. Google Scholar

  30. S. I. Higgins, J. K. Turpie, R. Constanza, R. M. Cowling, D. Le Maitre, C. Marais, and G. F. Midgley . 1997. An ecological economic simulation model of mountain fynbos ecosystems—Dynamics, valuation and management. Ecological Economics 22:155–169. Google Scholar

  31. J. S. Jameson and P. M. Ramsay . 2007. Changes in high-altitude Polyplepis forest cover and quality in the Cordillera de Vilcanota, Peru, 1956–2005. Biological Conservation 138:38–46. Google Scholar

  32. W. S. Keeton, M. Chernyavskyy, G. Gratzer, M. S. Main-Knorn, and Y. Bihun . 2010. Structural characteristics and aboveground biomass of old-growth spruce—Fir stands in the eastern Carpathian mountains, Ukraine. Plant Biosystems 144 (1):148–159. Google Scholar

  33. F. Kienast, J. Bolliger, M. Potschin, R. S. de Groot, P. H. Verburg, I. Heller, D. Wascher, and R. Haines-Young . 2009. Assessing landscape functions with broad-scale environmental data: Insights gained from a prototype development for Europe. Environmental Management 44:1099–1120. Google Scholar

  34. M. H. Kijazi and S. Kant . 2010. Forest stakeholders' value preferences in Mount Kilimanjaro, Tanzania. Forest Policy and Economics 12:357–369. Google Scholar

  35. C. Körner 2000. The Alpine life zone under global change. Gayana Botanica 157 (1): http://dx.doi.org/10.4067/S0717-66432000000100001.  Google Scholar

  36. B. Li, J. Chong, H. Liu, R. Hong, S. H. Zhang, and S. H. Zhang . 2008a. Study on the spatio-temporal changes of ecosystem service value in the northern slope of Tianshan mountains. Proceedings of the Geoscience and Remote Sensing Symposium (IGARS), IEEE International I:335–338. Google Scholar

  37. B. Li, J. Z. Wu, J. Chong, L. X. Hao, X. Y. Song, H. Lui, and X. S. Zhang . 2008b. Studies on the change of land use/cover and ecosystem service values of the three-belt of mountain-oasis-desert in the northwestern China. Proceedings of the Geoscience and Remote Sensing Symposium (IGARS), IEEE International IV:786–789. Google Scholar

  38. J. Li, Z. Ren, and Z. Zhou . 2006. Ecosystem services and their values: A case study in the Qinba mountains of China. Ecological Research 21:597–604. Google Scholar

  39. R. Q. Li, M. Dong, J. Y. Cui, L. L. Zhang, Q. G. Cui, and W. M. He . 2007. Quantification of the impact of land-use changes on ecosystem services: A case study in Pingbian county, China. Environmental Monitoring Assessment 128:503–510. Google Scholar

  40. C. Lundström, S. Kytzia, A. Walz, A. Grêt-Regamey, and P. Bebi . 2007. Linking models of land use, resources, and economy to simulate the development of mountain regions (ALPSCAPE). Environmental Management 40:379–393. Google Scholar

  41. MA [Millenium Ecosystem Assessment] 2005. Ecosystems and Human Well-Being: Current State and Trends. Washington, DC Island Press. Google Scholar

  42. M. J. Metzger, M. D. A. Rounsevell, L. Acosta-Michlik, R. Leemans, and D. Schröter . 2006. The vulnerability of ecosystem services to land use change. Agriculture, Ecosystems and Environment 114:69–85. Google Scholar

  43. M. Mulligan, J. Rubiano, G. Hyman, D. White, J. Garcia, M. Saravia, J. G. Leon, J. J. Selvaraj, T. Guttierez, and L. L. Saenz-Cruz . 2010. The Andes basin: Biophysical and developmental diversity in a climate of change. Water International 35 (5):472–492. Google Scholar

  44. R. Naidoo, A. Balmford, R. Constanza, R. E. Green, B. Lehner, T. R. Malcolm, and T. H. Ricketts . 2008. Global mapping of ecosystem services and conservation priorities. PNAS 105 (28):9495–9500. Google Scholar

  45. S. E. Null, J. H. Viers, and J. F. Mount . 2010. Hydrologic response and watershed sensitivity to climate warming in California's Sierra Nevada. PLoS ONE 5 (4):e9932.  http://dx.doi.org/10.1371/journal.pone.0009932.  Google Scholar

  46. M. K. Obrist and P. Duelli . 2010. Rapid biodiversity assessment of arthropods for monitoring average local species richness and related ecosystem services. Biodiversity Conservation 19:2201–2220. Google Scholar

  47. F. M. Padilla, B. Vidal, J. Sanchez, and F. I. Pugnaire . 2010. Land-use changes and carbon sequestration through the twentieth century in a Mediterranean mountain ecosystem: Implications for land management. Journal of Environmental Management 91:2688–2695. Google Scholar

  48. E. Pereira, C. Queiroz, H. M. Pereira, and L. Vicente . 2005. Ecosystem services and human well-being: A participatory study in a mountain community in Portugal. Ecology and Society 10 (2): http://www.ecologyandsociety.org/vol10/iss2/art14/.  Google Scholar

  49. Y. G. Ponette-Gonzales, K. C. Weathers, and L. M. Curran . 2010. Water inputs across a tropical montane landscape in Veracruz, Mexico: Synergistic effects of land cover, rain and fog seasonality, and interannual precipitation variability. Global Change Biology 16:946–963. Google Scholar

  50. F. Quetier, S. Lavorel, W. Thuiller, and I. Davies . 2007. Plant-trait-based modeling assessment of ecosystem service sensitivity to land-use change. Ecological Applications 17 (8):2377–2386. Google Scholar

  51. F. Quetier, F. Rivoal, P. Marty, J. de Chazal, W. Thuiller, and S. Lavorel . 2010. Social representations of an alpine grassland landscape and socio-political discourses on rural development. Regional Environmental Change 10:119–130. Google Scholar

  52. A. Ramming, L. Fahse, P. Bebi, and H. Bugmann . 2007. Wind disturbance in mountain forests: Simulating the impact of management strategies, seed supply, and ungulate browsing on forest succession. Forest Ecology and Management 242:142–154. Google Scholar

  53. L. C. Rodriguez, U. Pascual, and H. M. Niemeyer . 2006. Local identification and valuation of ecosystem goods and services from Optunia scrublands of Ayacucho, Peru. Ecological Economics 57:30–44. Google Scholar

  54. M. Sagoff 2010. The quantification and valuation of ecosystem services. Ecological Economics. 70:497–502..  Google Scholar

  55. K. G. Saxena, K. S. Rao, K. K. Sen, R. K. Maikuri, and R. L. Semwal . 2001. Integrated natural resource management: Approaches and lessons learned from the Himalaya. Ecology and Society 5 (2):14–24. Google Scholar

  56. D. Schröter, W. Cramer, R. Leemans, I. C. Prentice, M. B. Araujo, N. W. Arnell, A. Bondeau, H. Bugmann, T. R. Carter, C. A. Gracia, A. C. de la Vega-Leinert, M. Erhard, F. Ewert, M. Glendining, and J. I. Hause . 2005. Ecosystem service supply and vulnerability to global change in Europe. Science 310:1333–1337. Google Scholar

  57. SEDAC [Socioeconomic Data and Application Centre] 2010. Population grid and population density grid.  http://sedac.ciesin.columbia.edu/gpw/global.jsp; accessed on 7 July 2010.  Google Scholar

  58. R. L. Semwal, S. Nautiyal, K. K. Sen, U. Rana, R. K. Maikhuri, K. S. Rao, and K. G. Saxena . 2004. Patterns and ecological implications of agricultural land-use changes: A case study from central Himalaya, India. Agriculture, Ecosystems and Environment 102:81–92. Google Scholar

  59. E. Sharma, S. Bhuchar, M. A. Xing, and B. P. Kothyari . 2007a. Land use change and its impact on hydro-ecological linkages in Himalayan watersheds. Tropical Ecology 48 (2):151–161. Google Scholar

  60. G. Sharma, R. Sharma, and E. Sharma . 2009. Traditional knowledge systems in large cardamon farming: Biophysical and management diversity in Indian mountainous regions. Indian Journal of Traditional Knowledge 8 (1):17–22. Google Scholar

  61. R. Sharma, J. Xu, and G. Sharma . 2007b. Traditional agroforestry in the eastern Himalayan region: Land management system supporting ecosystem services. Tropical Ecology 48 (2):189–200. Google Scholar

  62. S. P. Singh 2002. Balancing the approaches of environmental conservation by considering ecosystem services as well as biodiversity. Current Science 82 (11):1331–1335. Google Scholar

  63. S. P. Singh, P. Sah, V. Tyagi, and B. S. Jina . 2005. Species diversity contributes to productivity—Evidence from natural grassland communities of the Himalaya. Current Science 89 (3):548–552. Google Scholar

  64. P. C. Sutton and R. Constanza . 2002. Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation. Ecological Economics 41:509–527. Google Scholar

  65. TEEB [The Economics of Ecology and Biodiversity] 2010a. Mainstreaming the economics of nature—A synthesis of the approach, conclusions, and recommendations.  http://www.teebweb.org/Portals/25/TEEB%20Synthesis/TEEB_SynthReport_09_2010_online.pdf; accessed on 15 October 2010.  Google Scholar

  66. TEEB [The Economics of Ecology and Biodiversity] 2010b. The economics of valuing ecosystem services and biodiversity. TEEB-report chapter 5.  http://www.teebweb.org/LinkClick.aspx?fileticket=JUukugYJHTg%3d&tabid=1018&language=en-US; accessed on 15 October 2010.  Google Scholar

  67. M. Teich and P. Bebi . 2009. Evaluating the benefit of avalanche protection forest with GIS-based risk analyses—A case study in Switzerland. Forest Ecology and Management 257:1910–1919. Google Scholar

  68. J. Tenhunen, R. Geyer, S. Adiku, M. Reichstein, U. Tappeiner, M. Bahn, A. Cernusca, N. Q. Dinh, O. Kolcun, A. Lohila, D. Otieno, M. Schmidt, M. Schmitt, Y. Wang, M. Wartinger, and G. Wohlfart . 2009. Influences of changing land use and CO2 concentration on ecosystem and landscape level carbon and water balances in mountainous terrain of the Stubai Valley, Austria. Global and Planetary Change 67:29–43. Google Scholar

  69. P. Tiwari 2008. Land use changes in Himalaya and their impacts on environment, society and economy: A study of the lake region in Kumaon Himalaya, India. Advances in Atmospheric Sciences 26 (6):1029–1042. Google Scholar

  70. W. R. Turner, K. Brandon, T. M. Brooks, R. Constanza, G. A. B. da Fonseca, and R. Portela . 2007. Global conservation of biodiversity and ecosystem services. BioScience 57 (10):868–873. Google Scholar

  71. J. K. Turpie, C. Marais, and J. N. Blignaut . 2008. The working for water programme: Evolution of a payments for ecosystem services mechanism that addresses both poverty and ecosystem service delivery in South Africa. Ecological Economics 65 (4):788–798. Google Scholar

  72. UN [United Nations] 1992. Earth Summit. Agenda 21, Chapter 13. The United Nations Program of Action from Rio. New York United Nations. Google Scholar

  73. UNEP [United Nations Environment Program] World Conservation Monitoring Centre 2002. Mountain Watch Report. Cambridge, United Kingdom Swaingrove Imaging. Google Scholar

  74. USGS [US Geological Survey] 1996. GTOPO30 global digital elevation model.  http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30_info; accessed on 10 July 2010.  Google Scholar

  75. USGS [US Geological Survey] 2009. Modis Land Cover Type Product MCD12Q1.  https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/land_cover/yearly_l3_global_500_m/mcd12q1; accessed on 6 July 2010.  Google Scholar

  76. D. J. J. Walters, D. C. Kotze, and T. G. O'Connor . 2006. Impact of land use on vegetation composition, diversity, and selected properties of wetlands in the southern Drakensberg mountains, South Africa. Wetlands Ecology and Management 14:329–348. Google Scholar

  77. C. Wang, P. van der Meer, M. Peng, W. Douven, R. Hessel, and C. Dang . 2009. Ecosystem services assessment of two watersheds of Lancang River in Yunnan, China with a decision tree approach. AMBIO 68 (1):47–54. Google Scholar

  78. W. Westman 1977. How much are nature's services worth. Science 197:960–964. Google Scholar

  79. G. Wu, H. Xiao, J. Zhao, G. Shao, and J. Li . 2002. Forest ecosystem services of Changbai Mountain in China. Science in China Series C 45 (1):21–32. Google Scholar

  80. T. Zhao, B. Yang, and H. Zheng . 2009. Assessment of the erosion control function of forest ecosystem based on GIS: A case study in Zhangjiajie National Forest Park, China. International Journal of Sustainable Development and World Ecology 16 (5):356–361. Google Scholar

  81. K. Zhou, X. Chen, H. Zhou, Q. Zhang, Q. Zuo, H. Zhang, J. Yan, and C. Chen . 2006. Study on RS-and GIS-based ecological capital assessment in arid areas. Chinese Science Bulletin 51 (1):213–220. Google Scholar

  82. Zutshi 2003. Himalayas democraphic and socio-economic characteristics. Report 31 of the Initiatives for Social Change and Action (ISCA).  http://www.isca.org.in; accessed on 12 August 2010.  Google Scholar

Appendices

APPENDIX 1 Papers addressing mountain ecosystem services (ESS). All studies consider ecosystem structures and functions (ESF).

i0276-4741-s32-s1-s23-t02.tif
Adrienne Grêt-Regamey, Sibyl Hanna Brunner, and Felix Kienast "Mountain Ecosystem Services: Who Cares?," Mountain Research and Development 32(S1), (1 March 2012). https://doi.org/10.1659/MRD-JOURNAL-D-10-00115.S1
Received: 1 October 2011; Accepted: 1 November 2011; Published: 1 March 2012
JOURNAL ARTICLE
PAGES


SHARE
ARTICLE IMPACT
Back to Top