Sibyl Hanna Brunner

Mountain Ecosystem Services: Who Cares?

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.

Facing uncertainty in ecosystem services-based resource management.

The concept of ecosystem services is increasingly used as a support for natural resource management decisions. While the science for assessing ecosystem services is improving, appropriate methods to address uncertainties in a quantitative manner are missing. Ignoring parameter uncertainties, modeling uncertainties and uncertainties related to human-environment interactions can modify decisions and lead to overlooking important management possibilities. In this contribution, we present a new approach for mapping the uncertainties in the assessment of multiple ecosystem services. The spatially explicit risk approach links Bayesian networks to a Geographic Information System for forecasting the value of a bundle of ecosystem services and quantifies the uncertainties related to the outcomes in a spatially explicit manner. We demonstrate that mapping uncertainties in ecosystem services assessments provides key information for decision-makers seeking critical areas in the delivery of ecosystem services in a case study in the Swiss Alps. The results suggest that not only the total value of the bundle of ecosystem services is highly dependent on uncertainties, but the spatial pattern of the ecosystem services values changes substantially when considering uncertainties. This is particularly important for the long-term management of mountain forest ecosystems, which have long rotation stands and are highly sensitive to pressing climate and socio-economic changes.

Integrating Expert Knowledge into Mapping Ecosystem Services Trade-offs for Sustainable Forest Management

Mountain ecosystems are highly sensitive to global change. In fact, the continued capacity of mountain regions to provide goods and services to society is threatened by the impact of environmental changes on ecosystems. Although mapping ecosystem services values is known to support sustainable resource management, the integration of spatially explicit local expert knowledge on ecosystem dynamics and social responses to global changes has not yet been integrated in the modeling process. This contribution demonstrates the importance of integrating local knowledge into the spatially explicit valuation of ecosystem services. Knowledge acquired by expert surveys flows into a GIS-based Bayesian Network for valuing forest ecosystem services under a land-use and a climate change scenario in a case study in the Swiss Alps. Results show that including expert knowledge in ecosystem services mapping not only reduces uncertainties considerably, but also has an important effect on the ecosystem services values. Particularly the iterative process between integrating expert knowledge into the modeling process and mapping ecosystem services guarantees a continuous improvement of ecosystem services values maps while opening a new way for mutual learning between scientists and stakeholders which might support adaptive resource management.

Assessing the Effect of Humic Acid Redox State on Organic Pollutant Sorption by Combined Electrochemical Reduction and Sorption Experiments

Natural Organic Matter (NOM) is a major sorbent for organic pollutants in soils and sediments. While sorption under oxic conditions has been well investigated, possible changes in the sorption capacity of a given NOM induced by reduction have not yet been studied. Reduction of quinones to hydroquinones, the major redox active moieties in NOM, increases the number of H-donor moieties and thus may affect sorption. This work compares the sorption of four nonionic organic pollutants of different polarities (naphthalene, acetophenone, quinoline, and 2-naphthol), and of the organocation paraquat to unreduced and electrochemically reduced Leonardite Humic Acid (LHA). The redox states of reduced and unreduced LHA in all sorption experiments were stable, as demonstrated by a spectrophotometric 2,6-dichlorophenol indophenol reduction assay. The sorption isotherms of the nonionic pollutants were highly linear, while paraquat sorption was strongly concentration dependent. LHA reduction did not result in significant changes in the sorption of all tested compounds, not even of the cationic paraquat at pH 7, 9, and 11. This work provides the first evidence that changes in NOM redox state do not largely affect organic pollutant sorption, suggesting that current sorption models are applicable both to unreduced and to reduced soil and sediment NOM.

A backcasting approach for matching regional ecosystem services supply and demand

Ecosystem services (ES) modeling studies typically use a forecasting approach to predict scenarios of future ES provision. Usually, these forecasts do not inform on how specific policy alternatives will influence future ES supply and whether this supply can match ES demand - important information for policy-makers in practice. Addressing these gaps, we present a multi-method backcasting approach that links normative visions with explorative land-use and ES modeling to infer land-use policy strategies for matching regional ES supply and demand. Applied to a case study, the approach develops and evaluates a variety of ES transition pathways and identifies types, combinations and timings of policy interventions that increase ES benefits. By making explicit ES sensitivity towards regional policy strategies and global boundary conditions over time, the approach allows to address key uncertainties involved in ES modeling studies. We propose a novel backcasting approach for ecosystem services (ES) assessments.The approach links normative visions with explorative land-use and ES modeling.Modeling ES transition pathways identifies desirable land-use policy strategies.Type, combination and timing of policy interventions influence ES benefits.Effectiveness of policy strategies depends on global boundary conditions.

Mapping uncertainties in the future provision of ecosystem services in a mountain region in Switzerland

Ecosystem services (ES) management has to cope with a high degree of uncertainty related to changes in socio-economic and climatic conditions as well as in societal values. Information regarding the quantity and location of these uncertainties can facilitate identifying which areas require management attention and policy support. In this context, science for mapping ES is evolving rapidly, but there remains a lack of quantitative methods to integrate and visualize uncertainties related to regional and global changes that affect both ES supply and demand. Using a mountain case study in Switzerland, this paper quantifies and maps the uncertainty of future ES provision related to changes in regional and global socio-economic and climatic drivers as well as in ES preferences. We model and map patterns of (dis)agreements regarding ES in a multitude of scenarios and evaluate the magnitude and sources of uncertainty in these patterns. The results illuminate which drivers cause the highest levels of uncertainty in future ES provision and highlight areas where changes in ES are similar across scenarios or where changes are dependent on regional or global contexts. In this case study, changes in ES occur more consistently in remote areas, while in the main valley such changes are highly uncertain and particularly sensitive to national socio-economic drivers and climate change. The uncertainty maps can serve as a basis for discussing regional development plans and national policy strategies. The suggested approach could serve as a straightforward means to quantify and communicate spatial uncertainties in future ES studies.

Methodischer Rahmen für den Einsatz von Backcasting zur Anpassung an den Klimawandel

Climate change and its complex, heterogenous and long-term impacts challenge the traditional spatially and temporally restricted instruments of spatial planning. This paper suggests a methodological framework for backcasting to support spatial adaptation to predicted climate changes. Starting from a vision of the future, backcasting infers information about the constituents of a system using knowledge about the behavior of the system and its structure. In popular terms, backcasting plans from a single future vision of a desirable outcome, followed by the question “what shall we do today to get to the desired future situation?”, thus freeing constraints caused by the current situation and opening the mind for future options. It provides a broad and flexible enough platform for a set of strategies to address future uncertainties and insure the realization of the vision. Strategic backcasting involves various stakeholders in the discussion of alternative visions and in the development and implementation of flexible measures, and is thus useful for coordinating spatial planning instruments. For addressing quantitative spatial problems, inverse modeling has shown to be a valuable expansion of strategic backcasting. Yet, for a successful implementation of such approaches, current planning systems have to evolve: (1) participation, bottomup processes and informal instruments need to be further developed, (2) a regional perspective and responsibility has to be taken by planners, and (3) sectoral measures should be combined strongly and implemented integratively in system- oriented strategies to secure the multifunctionality of landscapes and reduce the vulnerability of our environment to climate changes.

Mapping and assessment of forest ecosystems and their services - Applications and guidance for decision making in the framework of MAES

The aim of this report is to illustrate by means of a series of case studies the implementation of mapping and assessment of forest ecosystem services in different contexts and geographical levels. Methodological aspects, data issues, approaches, limitations, gaps and further steps for improvement are analysed for providing good practices and decision making guidance. The EU initiative on Mapping and Assessment of Ecosystems and their Services (MAES), with the support of all Member States, contributes to improve the knowledge on ecosytem services. MAES is one of the building-block initiatives supporting the EU Biodiversity Strategy to 2000.