Daniel Depellegrin

Mapping the ecosystem service delivery chain: Capacity, flow, and demand pertaining to aesthetic experiences in mountain landscapes.

Accounting for the spatial connectivity between the provision of ecosystem services (ES) and their beneficiaries (supply-benefit chain) is fundamental to understanding ecosystem functioning and its management. However, the interrelationships of the specific chain links within ecosystems and the actual benefits that flow from natural landscapes to surrounding land have rarely been analyzed. We present a spatially explicit model for the analysis of one cultural ecosystem service (aesthetic experience), which integrates the complete ecosystem service delivery chain for Puez-Geisler Nature Park (Italy): (1) The potential service stock (ES capacity) relies on an expert-based land use ranking matrix, (2) the actual supply (ES flow) is based on visibility properties of observation points along recreational routes, (3) the beneficiaries of the service (ES demand) are derived from socioeconomic data as a measure of the visitation rate to the recreation location, and (4) the supply-demand relationship (ES budget) addresses the spatially explicit oversupply and undersupply of ES. The results indicate that potential ES stocks are substantially higher in core and buffer zones of protected areas than in surrounding land owing to the specific landscape composition. ES flow maps reveal service delivery to 80% of the total area studied, with the highest actual service supply to locations with long and open vistas. ES beneficiary analyses show the highest demand for aesthetic experiences in all-season tourist destinations like Val Badia and Val Gardena, where both recreational amenity and overnight stays are equally high. ES budget maps identify ES hot and cold spots in terms of ES delivery, and they highlight ES undersupply in nature protection buffer zones although they are characterized by highest ES capacity. We show how decision/policy makers can use the presented methodology to plan landscape protection measures and develop specific regulation strategies for visitors based on the ES delivery chain concept.

Mapping ecosystem services potential in Lithuania

ABSTRACT This research presents a geographic information systems (GIS)-based method for ecosystem services (ES) potential assessment in a case study for the Lithuanian national territory. The ES potential was assessed for 31 CORINE land-cover classes (CLC2006) together with 31 ES categorized into regulating, provisioning and cultural ES. An expert-based ranking approach using a two-dimensional ES matrix and a geospatial analysis was applied to determine total ES potential, spatial patterns and relations among multiple ES. Results showed that forest areas had the highest potential for ES delivery whereas ES potential in urban areas was lowest. The spatial autocorrelation of regulating and cultural ES were dispersed while provisioning ES were significantly clustered. The principal component analysis (PCA) identified five factors with distinctive geospatial distribution: Factor 1 – forest areas, Factor 2 – aquatic environments, Factor 3 – livestock farming and energy production, Factor 4 – agricultural food production and Factor 5 – mineral extraction sites. The plotting of Factors 1 and 2 accounted for 72.81% of variance and identified three ES bundles composed by specific ES types: Bundle 1 – forest ecosystems, Bundle 2 – marine and freshwater ecosystems and Bundle 3 – mixed provisioning ecosystems. Trade-offs occur between regulating and cultural ES against the provisioning ES crop production and livestock farming. We conclude that the presented ES assessment can support decision-makers in the development of strategies for natural resources management at national and regional level, support the identification of trade-offs and synergies among ES types and foster ES research in Lithuania.

Addressing uncertainty in modelling cumulative impacts within maritime spatial planning in the Adriatic and Ionian region

Maritime spatial planning (MSP) is envisaged as a tool to apply an ecosystem-based approach to the marine and coastal realms, aiming at ensuring that the collective pressure of human activities is kept within acceptable limits. Cumulative impacts (CI) assessment can support science-based MSP, in order to understand the existing and potential impacts of human uses on the marine environment. A CI assessment includes several sources of uncertainty that can hinder the correct interpretation of its results if not explicitly incorporated in the decision-making process. This study proposes a three-level methodology to perform a general uncertainty analysis integrated with the CI assessment for MSP, applied to the Adriatic and Ionian Region (AIR). We describe the nature and level of uncertainty with the help of expert judgement and elicitation to include all of the possible sources of uncertainty related to the CI model with assumptions and gaps related to the case-based MSP process in the AIR. Next, we use the results to tailor the global uncertainty analysis to spatially describe the uncertainty distribution and variations of the CI scores dependent on the CI model factors. The results show the variability of the uncertainty in the AIR, with only limited portions robustly identified as the most or the least impacted areas under multiple model factors hypothesis. The results are discussed for the level and type of reliable information and insights they provide to decision-making. The most significant uncertainty factors are identified to facilitate the adaptive MSP process and to establish research priorities to fill knowledge gaps for subsequent planning cycles. The method aims to depict the potential CI effects, as well as the extent and spatial variation of the data and scientific uncertainty; therefore, this method constitutes a suitable tool to inform the potential establishment of the precautionary principle in MSP.

Multi-objective spatial tools to inform maritime spatial planning in the Adriatic Sea

This research presents a set of multi-objective spatial tools for sea planning and environmental management in the Adriatic Sea Basin. The tools address four objectives: 1) assessment of cumulative impacts from anthropogenic sea uses on environmental components of marine areas; 2) analysis of sea use conflicts; 3) 3-D hydrodynamic modelling of nutrient dispersion (nitrogen and phosphorus) from riverine sources in the Adriatic Sea Basin and 4) marine ecosystem services capacity assessment from seabed habitats based on an ES matrix approach. Geospatial modelling results were illustrated, analysed and compared on country level and for three biogeographic subdivisions, Northern-Central-Southern Adriatic Sea. The paper discusses model results for their spatial implications, relevance for sea planning, limitations and concludes with an outlook towards the need for more integrated, multi-functional tools development for sea planning.

Short-term low-severity spring grassland fire impacts on soil extractable elements and soil ratios in Lithuania

Spring grassland fires are common in boreal areas as a consequence of slash and burn agriculture used to remove dry grass to increase soil nutrient properties and crop production. However, few works have investigated fire impacts on these grassland ecosystems, especially in the immediate period after the fire. The objective of this work was to study the short-term impacts of a spring grassland fire in Lithuania. Four days after the fire we established a 400m2 sampling grid within the burned area and in an adjacent unburned area with the same topographical, hydrological and pedological characteristics. We collected topsoil samples immediately after the fire (0months), 2, 5, 7 and 9months after the fire. We analysed soil pH, electrical conductivity (EC), major nutrients including calcium (Ca), magnesium (Mg), sodium (Na), and potassium (K), and the minor elements aluminium (Al), manganese (Mn), iron (Fe) and zinc (Zn). We also calculated the soil Na and K adsorption ratio (SPAR), Ca:Mg and Ca:Al. The results showed that this low-severity grassland fire significantly decreased soil pH, Al, and Mn but increased EC, Ca, Mg, and K,. There was no effect on Na, Fe, and Zn. There was a decrease of EC, Ca, Mg, and Na from 0months after the fire until 7months after the fire, with an increase during the last sampling period. Fire did not significantly affect SPAR. Ca:Mg decreased significantly immediately after the fire, but not to critical levels. Ca:Al increased after the fire, reducing the potential effects of Al on plants. Overall, fire impacts were mainly limited to the immediate period after the fire.

Marine and coastal ecosystem services on the science–policy–practice nexus: challenges and opportunities from 11 European case studies

ABSTRACT We compared and contrasted 11 European case studies to identify challenges and opportunities toward the operationalization of marine and coastal ecosystem service (MCES) assessments in Europe. This work is the output of a panel convened by the Marine Working Group of the Ecosystem Services Partnership in September 2016. The MCES assessments were used to (1) address multiple policy objectives simultaneously, (2) interpret EU-wide policies to smaller scales and (3) inform local decision-making. Most of the studies did inform decision makers, but only in a few cases, the outputs were applied or informed decision-making. Significant limitations among the 11 assessments were the absence of shared understanding of the ES concept, data and knowledge gaps, difficulties in accounting for marine social–ecological systems complexity and partial stakeholder involvement. The findings of the expert panel call for continuous involvement of MCES ‘end users’, integrated knowledge on marine social–ecological systems, defining thresholds to MCES use and raising awareness to the general public. Such improvements at the intersection of science, policy and practice are essential starting points toward building a stronger science foundation supporting management of European marine ecosystems. EDITED BY Sebastian Villasante

Assessing oil spill sensitivity in unsheltered coastal environments: A case study for Lithuanian-Russian coasts, South-eastern Baltic Sea

This study presents a series of oil spill indexes for the characterization of physical and biological sensitivity in unsheltered coastal environments. The case study extends over 237 km of Lithuanian-Russian coastal areas subjected to multiple oil spill threats. Results show that 180 km of shoreline have environmental sensitivity index (ESI) of score 3. Natural clean-up processes depending on (a) shoreline sinuosity, (b) orientation and (c) wave exposure are favourable on 72 km of shoreline. Vulnerability analysis from pre-existing Kravtsovskoye D6 platform oil spill scenarios indicates that 15.1 km of the Curonian Spit have high impact probability. The highest seafloor sensitivity within the 20 m isobath is at the Vistula Spit and Curonian Spit, whereas biological sensitivity is moderate over the entire study area. The paper concludes with the importance of harmonized datasets and methodologies for transboundary oil spill impact assessment.

Aesthetic value characterization of landscapes in coastal zones

Landscapes are essential for society, tourism industries and local communities. The development of tools capable to assess their environmental and socioeconomic importance are fundamental to preserve their aesthetic integrity, especially in coastal areas facing strong anthropogenic pressure. Online photo databases enable users to localize their images via GPS coordinates and share their photo albums with other users, constituting a powerful tool for (1) spatiotemporal investigation of visitor loads in recreational areas, (2) visitor flow definition and (3) aesthetic value characterization of natural and artificial landscape attributes undergone by visitors through shared images in the database. The research presents a framework for aesthetic value characterization in coastal zones using geotags from a webbased photosharing service named Panoramio as data source. A GIS tool for visitor hot spot detection in Lithuanian coastal areas was developed. At selected visitor hot spots, an expert based image content analysis was applied and indicators for the aesthetic value characterization were developed. In total over 63 visitor hot spots were detected along Lithuanias mainland coast and the northern tip of the Curonian Spit. Around 73% of all hot spots cover landscapes in proximity of water bodies. Aesthetic values assessment in hot spots are determined by the variety of anthropogenic and natural landscape attributes in the coastal zone. We conclude that the application of webbased photosharing services and the modeling for aesthetic value characterization can serve for tourism activity planning such as scenic pathways identification, landscape attribute based trip advisory, assessment tool for landscapes changes due to intensive tourism activity and invasive construction projects.

Soil Mapping and Processes Modeling for Sustainable Land Management

Soil maps and models are indispensable tools in sustainable land management. The sustainable land use of our territory is fundamental to providing long-term socio-economic and environmental benefits. The risk of land degradation and corresponding declines in ecosystem services depends on the type of land use. Soil restoration can be extremely expensive, more than the implementation of sustainable land use practices. This is especially important in the context of climate change and the increasing pressure that a growing population places on soil resources, which is a global phenomenon. The objective of this chapter is to show the advantages of using soil mapping and modeling in sustainable land use planning and management. Soil mapping is fundamental to understand the distribution of soil properties, allowing us to implement sustainable practices in vulnerable areas and prevent land degradation. Soil indicators and models provide indispensable information for an accurate evaluation of land degradation status. Alone, or integrated with other disciplines, soil information is extremely important for understanding the causes of land degradation and implementation of sustainable land management. Accurate information and models are key tools for managers and decision makers to implement sustainable land use management policies.

Goal Oriented Soil Mapping: Applying Modern Methods Supported by Local Knowledge

Abstract Soil mapping is very important for the correct implementation of sustainable land use management. In recent decades, soil mapping methods and data availability have increased exponentially, improving the quality of the maps produced. Despite these advances, local knowledge is a great source of information, refined for centuries and useful for soil mapping and the implementation of a sustainable land management. Local wisdom and experience should be an important aspect of soil mapping because farmers will be one of the major end-users of the maps produced and they should account for the farmers’ reality. However, several problems have been identified in the spatial correlation between folk and scientific classification related to different cultural variables that influence local soil classification.