Combining direct and indirect impacts to assess ecosystem service loss due to infrastructure construction
Introduction
Ecosystem Services (ES) are derived from the ecological functioning of ecosystems and are typically conceptualized as flows of goods and services that benefit human societies (Daly and Farley, 2003). Land use change associated with human population growth and land development during the 20th century continues to alter and destroy natural ecosystems, with consequent degradation of ecological processes and natural ecosystems across the Globe (Millenium Ecosystem Assessment, 2005, Sala et al., 2000). There is thus increasing concern on how the impacts of such activities on ecosystem functions affect the capacity of ecosystems to provide ES (Broekx et al., 2013, Geneletti, 2013, Kumar et al., 2013). However, although methodologies for the classification, quantification and valuation of ES are developing rapidly, most studies are restricted to general evaluations that are rarely directly integrated into the decision-making processes (Laurans et al., 2013).
Currently, after the regulatory avoidance of sites designated for nature conservation, decisions are often made on the basis of environmental vulnerability, technical aspects of the infrastructure construction, security, and short-term economic criteria (clearing, elevation, house protection). In cases when projects affect areas that do not contain emblematic or protected habitats and species, that currently provide a basis for avoiding, reducing or compensating effects of infrastructure projects, short-term economic criteria are most often given priority over environmental concerns. Assessing ES loss could thus allow for a broader identification of significant environmental impacts (Landsberg et al., 2011) and thus improve efforts to inform decisions among the different options (Geneletti, 2011). This is important because project managers and developers are increasingly constrained by requirements to integrate larger-scale environmental impacts, without having at their disposition sufficiently clear and applicable tools to do so (Broekx et al., 2013, Geneletti, 2013). Identifying the loss of ES associated with infrastructure construction is thus a major current challenge to the improvement of environmental planning (Geneletti, 2013, Kumar et al., 2013, Tardieu et al., 2013).
The impacts of land conversion are direct on ecosystems due to the loss and reduction of the surface areas of natural ecosystems (Fahrig, 2002), with subsequent ES loss (Gascoigne et al., 2011, Kreuter et al., 2001). However, although integrating ES loss associated with infrastructure projects represents a potentially critically element for the improvement of Environmental Impact Assessment (EIA), it is nevertheless a complicated task that requires careful attention. First, the disturbance influence of the project on surrounding wildlife, vegetation, hydrology, and landscape often go beyond the converted area and can cause significant indirect impacts on ecological function (Trocmé et al., 2002) and ES provision (Mitchell et al., 2013). Second, species responses and ecosystem function may show a non-linear response to land conversion due to threshold behaviour (Groffman et al., 2006, Swift and Hannon, 2010). ES loss will thus depend on the type of ecosystem, the spatial extent of impacts on different ecosystems and how impacts affect spatial interactions among ecosystems and their components.
In this study, our overall objective is to test the feasibility of assessing ES loss involved by different implementation options of a major linear infrastructure. Our applied framework focuses on the comparison of ES loss for different route options for a high-speed railway project1 in Western France. To provide a broad and comprehensive assessment of ES loss in terms of biophysical quantities and economic values, we jointly assess direct losses of ES provision due to the ecosystem conversion and indirect losses associated with disruption of landscape connectivity. In addition we make a preliminary attempt to assess non-linear responses due to threshold effects by classifying ES according to how they may be impacted by such effects with a detailed study of two ES to illustrate the pertinence of this approach. The ES loss assessment we propose can be adapted to the assessment of different types of linear infrastructures (highways, waterways) by adapting land takes to the local ecological and landscape context.
Section snippets
Methodological options and data collection
Our methodological framework is displayed in Fig. 1 with successive steps for analysis. The rationale of our step-by-step approach can be summed up as follows. First, the ES potentially supplied and impacted within the area are identified, by referring to ES potential presence (step 1). Second, the impact characterisation step leads to the definition of the area of loss through direct and indirect loss which includes additional loss due a threshold response of ecosystems (step 2). Third, the
Results
In this Section, we present the results of our applied study. As stated in Section 2, the first zone has three alternative routes (routes 1.1, 1.2, and 1.3) and the second zone two alternative routes (routes 2.1 and 2.2). In Fig. 3, we describe the different types of ecosystems impacted by the route options.
In Table 3, we show that the route options produce different ES losses. For zone 1, the least impacting route is route 1.3 (the slightly longest route) followed by route 1.1, and the most
Discussion
In this study we provide an assessment of impacts on Ecosystem Services (ES) provision for different options associated with the implantation of a linear infrastructure. Except for the flood protection service, the ES analysed here are not currently integrated into EIA. Our study thus provides an initial attempt to integrate such services. In addition our analysis points out the necessity of discriminating and combining impacts, which may have a direct effect on ecological function (and thus
Conclusion
ES losses are currently poorly assessed and valued in monetary terms in EIA for infrastructure construction. Our study identifies four critical key elements for their integration: (i) the identification of potential ES supplied and impacted in a given landscape, (ii) the identification of ES loss with regards to the direct or indirect character of impacts, (iii) the biophysical assessment and economic valuation of the loss in a spatially explicit manner, and (iv) the calculation of ES loss for
Acknowledgements
This work was financed by Egis Structures & Environnement. We thank Bénédicte Authié (Egis) as well as the InVEST team for their research assistance. We also thank Nick Hanley for his constructive comments on a preliminary version of the manuscript, and two anonymous reviewers for their useful comments.
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