67 research outputs found

    Integrating Ecosystem and Urban Services in Policy-Making at the Local Scale: The SOFA Framework

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    Despite ecosystem services having been broadly studied in the scientific literature, they are still hardly integrated in policy-making and landscape management. The lack of operative tools for their application is a main limiting factor of such operationalization. In this work, a framework including 53 livability services produced by the biophysical and socioeconomic subsystem, or by their interaction, was developed considering a local study area. All the services were characterized in terms of the need to access their Service Benefiting Areas (SBAs, the geographical units where the services benefit consumers) from the Use Regions (URs, the usual location of users). Moreover, the Service-Providing Areas (SPAs, the geographical unit where the service is produced) were also classified and characterized. Such analysis, together with empirical observations, helped to classify the spatial relationships between the SPAs, SBAs and URs of each service. In addition to a list of detailed information about all the services included in the framework, a visual scheme representing the different SBA types and an operational flow diagram synthesizing the spatial organization of service flow were designed to apply the methodology in other study areas. Two examples show the practical applicability in policy-making of the whole framework for supporting different aspects of local decision-making

    Assessing the environmental impacts of production- and consumption-side measures in sustainable agriculture intensification in the European Union

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    Sustainable agricultural intensification (SI) is an important strategy to respond to the combined challenge of achieving food security and providing public goods and ecosystem services to society, including mitigation and adaptation of climate change. Sustainable intensification includes a wide range of measures at both the supply and demand-side of agricultural production. However, currently, it is unclear what are the most effective and priority measures. This study assesses the potential of different SI measures for reducing GHG (greenhouse gas) emissions and increasing land use efficiency in the European Union's agriculture sector. A scenario approach was combined with life cycle analysis to quantify the environmental impacts of a number of different SI measures. The sustainable intensification measures assessed in this study are: 1) changing human diet; 2) using food waste in livestock diets; 3) shifting from monoculture cropping to crop rotation, and, 4) incorporating crop residues into the soil. The results reveal that the studied SI measures have the potential to increase land use savings, ranging from 0.06 to 3.32 m2/person/day, while GHG emission savings ranging from 71 to 1872 g CO2-eq/person/day can be achieved at EU level. Among these SI measures, changing human diet showed a remarkably high reduction of environmental impacts. On the contrary, increased GHG emission savings in the other SI measures (i.e. crop residue incorporation in the field and replacing soybean meal in conventional feed by food waste-based feed) are counter effected by increased GHG emissions in the energy sector due to reduction of feedstock availability for bioenergy production. The approach used in this study allows the assessment of both the production and consumption-side SI measures and allows the identification of the most effective SI measures and their potential trade-offs

    Meeting global land restoration and protection targets:What would the world look like in 2050?

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    Land restoration has received increased attention recently as a tool to counteract negative externalities of unsustainable land management on human well-being. This is reflected in targets of the Sustainable Development Goals (SDGs), the Convention on Biological Diversity (CBD), the United Nations Framework of the Convention on Climate Change (UNFCCC) and the United Nations Convention to Combat Desertification (UNCCD). However, the implications of these targets for land use, especially considering their potential conflict with growing food production demands, are largely unexplored. We study the potential and aggregated consequences of meeting these targets on land cover and land system change. We do so by analyzing targets originating from these global commitments towards land restoration and protection and implement them in a global land system change model. We compare this Restoration and Protection scenario with simulation results of two plausible pathways of socio-economic development in the absence of these targets, following the Shared Socio-Economic Pathway (SSP) storylines. We find that meeting global land restoration and protection targets would increase global tree cover by 4 million km², increasing forest carbon stocks by 50 Gt and protecting 28% of the terrestrial area with the highest value of both biodiversity and carbon storage. Gains in tree cover and natural land systems would cause a contraction of crop, pasture- and bare land. This results in further cropland intensification and the expansion of land systems that are combining land use demands in mosaics of forest and agriculture. Without these targets, land system architecture tends to become more specialized, while many carbon and biodiversity hotspots, such as in the Americas, India, and Indonesia would be lost. Grassland-agriculture mosaics were threatened by land use change under all scenarios, requiring greater consideration in research and environmental policy. Our results emphasize the need for targeted land management in line with the analyzed policy targets if global restoration and protection targets are to be achieved

    Cultural landscapes and behavioral transformations:An agent-based model for the simulation and discussion of alternative landscape futures in East Lesvos, Greece

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    Agricultural intensification and abandonment have been identified as two of the more prominent and polarizing drivers of landscape change in Europe. These transitions may induce deterioration in landscape functioning and character, particularly in cultural landscapes demonstrative of evolving human-environment dynamics that have sustained environmental benefits through time. Cultural and behavioral motives are important root influences to such landscape transitions, yet efforts to address landscape degradation are often hampered by a failure to account for the heterogeneous decision-making nature of its agents of change and the inherent complexity of socio-ecological systems. Novel techniques are required to further disentangle responses to multi-level drivers and discuss alternative landscape development trajectories. Agent-based models constructed by means of participatory approaches present increasingly applied tools in this context. This study sought to capture and model the future perspectives emerging from presently occurring farming discourses in the region of Gera (Lesvos, Greece), characterized by persistent abandonment of its traditionally managed olive plantations. We constructed an agent-based model iteratively in collaboration with the local farming community and experts in landscape research. Empirical findings informed the model through the construction of a farmer typology, revealing a heavy reliance of the farming community upon sectorial profitability, prevalent cultural farming motives and emerging landscape initiatives. The model examined the de-coupled role of agricultural profitability and landscapes initiatives in shaping the behavior of land managers, mapping alternative landscape futures over a period of 25 years. Model results illustrate both increased profitability and action by landscape initiatives are required to reverse abandonment trends within the simulated time frame. The hypothesized ability of landscape initiatives to maintain and promote a cultural drive amongst adhering farmers is crucial for securing behavioral transformations towards professionalism. This study confirmed agent-based modelling to be intuitively received by stakeholders who significantly contributed to model structure refinement and the rejection of a status quo scenario

    Ecologically and biophysically optimal allocation of expanded soy production in Bavaria, Germany

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    A debate about cultivation and trading of soy has emerged among scientists, policymakers, and the public in recent years. Export-orientated soy production in regions of South America is associated with large-scale ecosystem destruction. Since soy is an important source of animal fodder, policymakers are developing schemes to support and enhance sustainable domestic soy cultivation, especially in the EU. Expanded soy cultivation should ideally provide high yields and at the same time promote environmental benefits. For this purpose, we applied a multi-objective optimization algorithm that selects areas with maximum soy suitability, minimum erosion risk, need for low fertilizer input due to water quality issues, and need for diversification of monotonous crop rotations. We use the state of Bavaria in Germany as a case study, modeling full self-sufficiency of soy. The results of the optimization indicate synergies between plantation suitability with need for low fertilization input and crop variation, which implies that the environmental benefit of nitrogen fixation and rotation diversification from soy plants can easily be reconciled with food productivity. However, slight trade-offs occur between erosion risk and the three other objectives, i.e., locations with better soy production might be more prone toward erosion risk. As a potential consequence of expanded soy cultivation in Bavaria, we identified winter wheat, grain maize, potatoes, and sugar beet as those crops that have the highest share of displaced cultivation area. To reduce such land use conflicts and ensure self-sufficiency in relevant crops, we recommend to limit the use of soy as animal feed. Nevertheless, we propose to explicitly incorporate the local need for the environmental benefits of soy cultivation in the planning for soy expansion. In doing so, domestic soy can turn into a real sustainable alternative to imported plant protein

    The role of nature's contributions to people in sustaining international trade of agricultural products

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    Nature's contributions to people (NCP) are essential for the production and trade of agricultural, forestry and fishery commodities. Often, there is a spatial disconnect between consumers and the natural systems where the commodities are produced. Traded agricultural products are therefore dependent on nature and NCP in their region of origin. The dependencies of agricultural products on NCP are, however, insufficiently recognised by consumers and are rarely considered in global environmental governance and trade policies along value chains. Here, we synthesise studies highlighting dependencies of agricultural products on NCP in their origin locations to identify opportunities and challenges in quantifying their contribution in sustaining trade flows. We suggest three methodological steps for quantifying NCP dependencies in international agricultural trade: spatial mapping of NCP supply and demand, linking NCP to agricultural trade flows, and tracing trade flows. Each methodological step requires further development and harmonisation to enable a complete accounting of how international agricultural trade depends on NCP. Given the lack of knowledge and data on how NCP support agricultural trade, social and environmental trade-offs of natural resource management are currently hard to quantify. Quantifying the role of NCP dependencies of traded agricultural products can support their sustainable management, contribute to supply chain accountability and serve as input to sustainable natural resource governance and foster responsibility and equity in supply chains. Read the free Plain Language Summary for this article on the Journal blog.</p

    Conceptualising fields of action for sustainable intensification A systematic literature review and application to regional case studies

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    [EN] After two decades of research on sustainable intensification (SI), namely securing food production on less environmental cost, heterogeneous understandings and perspectives prevail in a broad and partly fragmented scientific literature. Structuring and consolidating contributions to provide practice-oriented guidelines are lacking. The objectives of this study are to (1) comprehensively explore the academic SI literature, (2) propose an implementation-oriented conceptual framework, and (3) demonstrate its applicability for region-specific problem settings. In a systematic literature review of 349 papers covering the international literature of 20 years of SI research, we identified SI practices and analysed temporal, spatial and disciplinary trends and foci. Based on key SI practices, a conceptual framework was developed differentiating four fields of action from farm to regional and landscape scale and from land use to structural optimisation. Its applicability to derive region specific SI solutions was successfully tested through stakeholder processes in four European case studies. Disciplinary boundaries and the separation of the temporal and spatial strands in the literature prevent a holistic address of SI. This leads to the dominance of research describing SI practices in isolation, mainly on the farm scale. Coordinated actions on the regional scale and the coupling of multiple practices are comparatively un-derrepresented. Results from the case studies demonstrate that implementation is extremely context-sensitive and thus crucially depends on the situational knowledge of farmers and stakeholders. Although, there is no 'one size fits all' solution, practitioners in all regions identified the need for integrated solutions and common action to implement suitable SI strategies at the regional landscape level and in local ecosystems.This research was financially supported by the European Commission under grant agreement 652615 and conducted in the context of the ERA-Net FACCE SURPLUS project VITAL, with the national funders NWO (Netherlands), BMBF (Germany), INIA (Spain), ANR (France).Weltin, M.; Zasada, I.; Piorr, A.; Debolini, M.; Geniaux, G.; Moreno-PĂ©rez, OM.; Scherer, L.... (2018). Conceptualising fields of action for sustainable intensification A systematic literature review and application to regional case studies. Agriculture Ecosystems & Environment. 257:68-80. https://doi.org/10.1016/j.agee.2018.01.023S688025

    Unpacking ecosystem service bundles: towards predictive mapping of synergies and trade-offs between ecosystem services

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    Multiple ecosystem services (ES) can respond similarly to social and ecological factors to form bundles. Identifying key social-ecological variables and understanding how they co-vary to produce these consistent sets of ES may ultimately allow the prediction and modelling of ES bundles, and thus, help us understand critical synergies and trade-offs across landscapes. Such an understanding is essential for informing better management of multi-functional landscapes and minimising costly trade-offs. However, the relative importance of different social and biophysical drivers of ES bundles in different types of social-ecological systems remains unclear. As such, a bottom-up understanding of the determinants of ES bundles is a critical research gap in ES and sustainability science. Here, we evaluate the current methods used in ES bundle science and synthesize these into four steps that capture the plurality of methods used to examine predictors of ES bundles. We then apply these four steps to a cross-study comparison (North and South French Alps) of relationships between social-ecological variables and ES bundles, as it is widely advocated that cross-study comparisons are necessary for achieving a general understanding of predictors of ES associations. We use the results of this case study to assess the strengths and limitations of current approaches for understanding distributions of ES bundles. We conclude that inconsistency of spatial scale remains the primary barrier for understanding and predicting ES bundles. We suggest a hypothesis-driven approach is required to predict relationships between ES, and we outline the research required for such an understanding to emerge
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