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Under the Marine Strategy Framework Directive, EU member states are committed to delivering Good Environmental Status in EU marine and coastal areas but the risk of damage from land based pollutants is rising, along with increased economic uses and activities in marine and coastal areas. While it is accepted that land sea interactions need to be managed, and uses and activities in our marine and coastal areas must be regulated, the complexity and dynamic nature of land sea connections create challenges for governance systems. This chapter reviews the marine and coastal management systems in operation in Ireland, Romania, Spain and France. Using relevant case studies at national, sub national and local level, we assess their capacity to manage complex and dynamic land sea interactions. We further examine their ability to achieve integrated, multiscalar and cross sectoral governance of their marine and coastal areas. Recommendations to assist EU member states who are developing marine and coastal governance systems are also provided.

Cultural Ecosystem Services (CESs), such as aesthetic and recreational enjoyment, as well as sense of place and cultural heritage, play an outstanding role in the contribution of landscapes to human well‐being. Scientists, however, still often struggle to understand how landscape characteristics contribute to deliver these intangible benefits, largely because it is hard to navigate how people value nature, and because there is a lack in methods that accommodate both comprehensive and time‐efficient evaluations. Recent advances in technology and the proliferation of new data sources, such as social media data, open promising alternatives to traditional, resource‐intensive methods, facilitating the understanding of the multiple relationships between people and nature. Here, we examine a user‐friendly artificial intelligence (AI)‐based approach for inferring visual‐sensory landscape values from Flickr data, combining computer vision with text mining. We show it is possible to automatically relate photographers' preferences in capturing landscape elements to a set of CESs (aesthetic value, outdoor recreation, cultural heritage, symbolic species) with reasonable accuracy, using the semantic content provided by approximately 640,000 artificially generated tags of photographs taken in the UNESCO world heritage site ‘The Dolomites’ (Italy). We used the geographic information in the data to demonstrate that these preferences can be further linked to different natural and human variables and be used to spatially predict CES patterns. Over 90% of photograph tags could be linked to four CES categories with reasonable confidence (accuracy ration ∼ 80%). The Dolomites are highly appreciated for its aesthetic value (66% of images classified to that category) and vast cultural heritage (13%), followed by its outdoor recreation opportunities (11%) and symbolic species (10%). CES benefiting hotspots were found in areas with high tourism development and close to residential areas, and could largely be explained by a combination of environmental (e.g. landscape composition) and infrastructural (e.g. accessibility) variables. We conclude that online available AI technology and social media data can effectively be used to support rapid, flexible and transferrable CES assessments. Our work can provide a reference for innovative adaptive management approaches that can harness emerging technologies to gain insights into human–nature relationships and to sustainably manage our environment. A free Plain Language Summary can be found within the Supporting Information of this article.

Significance StatementThe threats posed by climate change and global biodiversity loss are increasingly seen as a major problem for the future of nature and humanity. Significant improvements in the understanding of how human and nature interact are thus required to address both challenges comprehensively. Over the past decade, different nature-based approaches, such as Ecosystem-based Adaptation (EbA), Green Infrastructure (GI), and Nature’s Contributions to People (NCP), have enriched the scientific discourse and gained prominence in policy- and decision-making. However, the underlying concepts are vaguely defined, and their systematic uptake is hampered by a lack of clarity over the relationships and overlaps between different nature-based approaches. Here, we discuss recent advances in conceptualizing human–nature interactions with the aim of making these concepts more tangible and applicable for a broader audience.

Significance StatementKnowledge about the impacts of natural hazards on ecosystem services is crucial to guide the effective management of ecosystem components in a particular landscape. The coastal landscape of Bangladesh is a source of numerous ecosystem services on one hand and also exposed to natural hazards, especially to tropical cyclones on the other hand. Almost every year the tropical cyclones and associated storm surges cause severe devastation to the ecosystem services in the eastern coastal region of the country. We for the very first time in Bangladesh applied the remote sensing method with the Millennium Assessment technique to map coastal ecosystem service capacity and assess their degree of exposure to the tropical cyclone in the eastern coastal region of the country. Our study identifies the aquatic environments, mangrove and hilly forests having the highest potentials of ecosystem service capacity, which needs to be protected from the natural hazards through implementing appropriate land use and nature-focused disaster management policies for sustainable, equitable, and effective use of the ecological resources.

In this research we collect, prepare and analyze a geospatial database of maritime activities located in the northern Bay of Bengal with the final aim to simulate maritime spatial planning (MSP) - ready information source for future sectoral and multi-sector MSP in Bangladesh. The database is composed of 28 anthropogenic and environmental layers categorized into seven Blue Economy sectors. The database is analyzed with a set of geospatial models aimed at understanding the intensity distribution of human activities at sea and the potential marine use conflicts emerging from the aggregation of human activities. Ecological resources were characterized in terms of marine mammals, lobsters, commercially important and threatened fish species, and pelagic birds and mapped as biodiversity hotspots using geographic cluster analysis. Results show that the most intensely used sea areas are located along the northeastern coast of Bangladesh, as well as in the Swatch of No Ground (SoNG) area, with maximum Marine Use Intensity (MUI) scores ranging from 5 to 8. Offshore waters of Saint Martin's Island have higher MUI scores (≥ 5) as well. The pairwise spatial conflict analysis shows that nature protection sites particularly SoNG Marine Protected Area (MPA), Nijhum Dwip Marine Reserve (MR), and Saint Martin's Island MPA are exposed to the high Marine Use Conflicts (MUC) induced by fishing and shipping activities. Fishing operations generate the highest MUC value (MUC = 30) in SoNG MPA, whereas shipping activities produce the highest MUC value (MUC = 24) in Nijhum Dwip MR. Both of the MPAs exhibit 6 to 12 MUC scores induced by shipping. The proposed database together with the illustrated analytical techniques used in this study and key findings can provide the first understanding of the priorities for Ecosystem Based Management of Bangladesh's marine space and provide valuable insights on the urgency for MSP process in the country. The study concludes with an outlook on the utility of the database for future analysis.

This paper examines the concept of maritime multi-use as a territorial/SPATIAL governance instrument for the enhancement of sustainable development in five EU sea basins. Multi-use (MU) is expected to enhance the productivity of blue economy sectors, as well as deliver additional socio-economic benefits related to the environmental and social dimensions of sustainable development. The paper provides a definition of maritime multi-use and identifies the multi-uses with the highest potential in EU sea basins. In each sea basin, multi-use plays a different role as concerns sustainable development. For the Eastern Baltic Sea, the Mediterranean Sea and the Black Sea, the MU focus should remain on the environmental pillar of sustainable development. In the North Sea, North Atlantic and Western Baltic Sea, addressing social sustainability seems a key precondition for success of MU in enhancement of sustainable spatial development at sea. Moreover, it has been suggested to introduce MU key global strategies such as SDGs or Macroregional strategies and action plans and to supplement maritime spatial planning with sectoral incentives and educational efforts as key vehicles supporting MU. The paper concludes by identifying aspects which, in order to inform maritime spatial planning and maritime governance regarding a more conscious application of the aforementioned concept, require further investigation. Key tasks are related to: more profound evaluation of performance of policies supporting MUs, researching the impact of MU on societal goals and on the MU costs and benefits, including external ones, and finally identifying the impact of MU on the development of various sectors and regions on land.

European seas are experiencing rapid development. The anthropogenic demand for marine resources and space exerts the need for novel concepts for sustainable resource exploitation and smart space allocation. Multi-Use (MU) is an emerging concept to overcome spatial claims and support Blue Growth, however its actual potentials and current status of implementation in different sea basins is to a large extent unexplored. An analytical framework using a mixed method approach is proposed for the identification and analysis of MU potentialities in eight EU countries of the Euro-Mediterranean sea basin. The paper addresses opportunities and challenges of ten existing and potential MU combinations driven by three maritime sectors: tourism, renewable energy and Oil & Gas industry. Opportunities and challenges for MU development were presented in terms of drivers, added values, barriers and impacts. Results show that highest potential for MU development are related to tourism-driven MU combinations (e.g. pescatourism), but also emerging MU potentials exist related to Floating Offshore Wind energy and aquaculture (Gulf of Lion) and the re-use of Oil & Gas decommissioned platforms (Northern-Central Adriatic Sea). Findings were discussed for their geospatial distribution and their policy, socio-economic, technical and environmental boundary conditions. Recommendations on actions to foster MU development in the Euro-Mediterranean sea space are provided.

Aquaculture is the fastest growing food production industry in the world yet research and guidance demonstrating strategic multi-objective zoning for sector expansion is scarce. Quantifying and mitigating conflicts and impact on sensitive coastal environments through jointly-optimized objectives for aquaculture and biodiversity simultaneously has not been tested yet. We here develop and evaluate six alternative planning scenarios for one of the European Union’s highest priority mussel aquaculture areas, the Emilia-Romagna Region in Italy. We i) develop an aquaculture profitability surface as a function of the distance from main ports, and in parallel build a fine-scale aquaculture suitability distribution surface for important commercial species using multi-criteria analysis; ii) prioritize protected areas for biodiversity while testing how different considerations of human impacts influence priorities; iii) simultaneously plan for aquaculture and biodiversity while minimizing impacts on other maritime activities. We compare results from different scenarios according to how well they capture suitable aquaculture habitats and minimize impacts. We introduce a new evaluation method for scenario comparison in spatial optimization using a nearest-neighbour analysis for spatial pattern similarities. Lastly, we test the “value of information” provided by our investment in developing the fine-scale suitability surface to improve efficiencies. We find that an integrated multi-objective zoning approach, which simultaneously optimizes for biodiversity and aquaculture, supports more efficient planning than traditional sector specific growth strategies. We also discovered that the fine-scale suitability model delivered an 8% more efficient solution than the simple distance function, highlighting the role of proxy surfaces and diminished returns from investing in comprehensive habitat suitability analysis in regions without much variation in key parameters. We offer evidence of improved efficiency and practical guidance for integrated planning in Blue Growth agendas. Our analysis can be applied in any context where multiple objectives occur for aquaculture sector growth and biodiversity conservation., This is a preprint (pre-peer reviewed) version of the following paper: "Chiara Venier, Stefano Menegon, Hugh P. Possingham, Elena Gissi, Andrea Zanella, Daniel Depellegrin, Alessandro Sarretta, Andrea Barbanti, Jennifer McGowan, Multi-objective zoning for aquaculture and biodiversity", in Science of the Total Environment, Volume 785 (2021) 146997 https://doi.org/10.1016/j.scitotenv.2021.146997.

The implementation of marine spatial plans as required by the Directive on Maritime Spatial Planning (MSP) of the European Union (EU) poses novel demands for the development of decision support tools (DST). One fundamental aspect is the need for tools to guide decisions about the allocation of human activities at sea in ways that are ecosystem-based and lead to sustainable use of resources. The MSP Directive was the main driver behind the development of spatial and non-spatial DSTs for the analysis of marine and coastal areas across European seas. In this research we develop an analytical framework designed by DST software developers and managers for the analysis of six DSTs supporting MSP in the Baltic Sea, the North Sea, and the Mediterranean Sea. The framework compares the main conceptual, technical and practical aspects, by which these DSTs contribute to advancing the MSP knowledge base and identified future needs for the development of the tools. Results show that all of the studied DSTs include elements to support ecosystem-based management at different geographical scales (from national to macro-regional), relying on cumulative effects assessment and functionalities to facilitate communication at the science-policy interface. Based on our synthesis we propose a set of recommendations for knowledge exchange in relation to further DST developments, mechanisms for sharing experience among the user-developer community, and actions to increase the effectiveness of the DSTs in MSP processes.

The spread of coronavirus (COVID-19) caused an unprecedented implementation of lockdown measures across world's nations. Veneto Region, located in the North-Eastern Italy was one of the first maritime regions in Italy and Europe subjected to progressive lockdown restrictions. We systematically analyse the effects of national lockdown policies on maritime settings of the region using Automated Identification System (AIS) data from fishing vessels, passenger ships, tanker and cargo vessels collected through the Aqua Alta Oceanographic Tower (AAOT). We derive consequences on vessel activities during the March–April 2020 lockdown, by using a data-driven, comparative spatio-temporal analysis for vessel trajectories. Results show that compared to the same period of 2017, we found that vessel activity were reduced by 69% during the lockdown, fishing activities reduced by 84% and passenger traffic by 78%. We register a restart of fishing activity in the third week of April 2020. We suggest that the presented conceptual and spatial assessment protocol can guide future research on environmental and socio-economic effects of COVID-19 on marine realms and contribute to further interdisciplinary research with other marine scientific fields., Graphical abstract Unlabelled Image, Highlights • Veneto Region was one of the first EU maritime region affected by lockdown measures. • National lockdown measures with effect on maritime settings were reviewed. • A spatial and temporal comparative analysis on vessel traffic during lockdown is performed. • Lockdown measures decreased vessel activity in the assessment period. • Fishery and passenger vessels are the most affected by lockdown measures.

To solve conservation and planning challenges in the marine environment, researchers are increasingly developing geospatial tools to address impacts of anthropogenic activities on marine biodiversity. The paper presents a comprehensive set of built-in geospatial webtools to support Maritime Spatial Planning (MSP) and environmental management objectives implemented into the Tools4MSP interoperable GeoPlatform. The webtools include cumulative effects assessment (CEA), maritime use conflict (MUC) analysis, MSFD pressure-driven CEA and a CEA-based marine ecosystem service threat analysis (MES-Threat) . The tools are tested for the Northern Adriatic (NA) Sea, one of the most industrialized sea areas of Europe using a case study driven modelling strategy. Overall results show that coastal areas within 0-9 nm in the Gulf of Trieste, Grado-Marano and Venice lagoon and Po Delta outlet are subjected to intense cumulative effects and high sea use conflicts mainly from port activities, fishery, coastal and maritime tourism and maritime shipping. Linking MES into CEA provided novel information on locally threatened high MES supporting and provisioning habitats such Cymodocea beds and infralittoral fine sands, threats to cultural MES are most pronounced in coastal areas. Results are discussed for their geospatial relevance for regional planning, resource management and their applicability within MSP and environmental assessment., Funding: This work was supported by: the Flagship Project RITMARE - Italian Research for the Sea, coordinated by the Italian National Research Council and funded by the Italian Ministry of Education, University and Research within the National Research Program 2012–2016.

Marine or maritime spatial planning (MSP) works across borders and sectors to ensure human activities at sea take place in an efficient and sustainable way. The ecosystem service (ES) concept links ecosystem functioning to human wellbeing and has emerged as a potential framework supporting MSP, as it can be used to link different sectorial and environmental policies. However, due to the complexity of the marine realm, mapping and assessment of ES is still in its infancy and there remains a need to develop and agree upon the appropriate progress in ES development to support MSP. This contribution highlights research needs and recommendations to advance the operationalization of the ES concept into MSP. We apply a mixed method approach combining literature research and expert knowledge derived from 14 case studies, to address current status and prospects of ES application in MSP. We present nine main needs dealing with (i) improvement and adaptation of existing ES frameworks and classifications to the marine realm and (ii) definition of an indicator pool; (iii) methodological and technical developments to support data availability and accessibility; (iv) advances in mapping and modelling methods; (v) improvements in assessment and valuation approaches; (vi) further use of scenario and trade-off analysis; (vii) taking advantage of supporting Information Technologies (IT); (viii) improvements in communication and engagement with stakeholders; and (ix) further work for the integration of ES knowledge into policies and for supporting management and MSP. The manuscript concludes with a set of recommendations to foster the operationalization of the ES concept into MSP.

The assessment and mapping of ecosystem services (ES) has become an increasingly important instrument for environmental management and conservation priority-setting. As such, this practice can be used in ecosystem-based Marine Spatial Planning (MSP). MSP is recognized as an opportunity to achieve socio-economic and ecological goals simultaneously, to suggest solutions for sustainable management of marine environment and its resources. In this study, we propose an operational approach that includes novel spatial analysis in the marine field to quantify and map supporting ecosystem services. Such approach spans the 3D-dimension of the marine environment, considering all marine domains (sea surface, water column, seabed) separately. Our approach is focused on mapping supporting ES of the Adriatic Sea, to grant their preservation in order to guarantee the delivery of all other ES. Supporting ES provision in the Adriatic was quantified through the use of indicators that denote ES delivery and that are specifically related to the three marine domains. We identified areas of elevated provisioning levels of multiple supporting ES in the Adriatic, which is hypothesized to be priority areas of conservation. Our results confirm the importance of explicitly including the pelagic domain in planning and conservation processes. Areas that provide the lowest levels of supporting ES delivery were also mapped, to indicate possible ‘sacrificial areas’ for industrial or intensive use. The spatial coincidence of the determined hotspots areas of ES delivery associated with particular marine areas that are and are not under conservation regimes was analysed. This approach led us to test the applicability of the method for identifying marine areas for conservation purposes. Our methodological approach aims at producing relevant scientific knowledge for prioritizing marine conservation and sustainable management actions, to be used in MSP and marine management.

Demand for renewable energy is increasing steadily and regulated by national and international policies. Offshore wind energy sector has been clearly the fastest in its development among other options, and development of new wind farms requires large ocean space. Therefore, there is a need of efficient spatial planning process, including the site selection constrained by technical (wind resource, coastal distance, seafloor) and environmental (impacts) factors and competence of uses. We present a novel approach, using Bayesian Belief Networks (BBN), for an integrated spatially explicit site feasibility identification for offshore wind farms. Our objectives are to: (i) develop a spatially explicit model that integrates the technical, economic, environmental and social dimensions; (ii) operationalize the BBN model; (iii) implement the model at local (Basque Country) and regional (North East Atlantic and Western Mediterranean), and (iv) develop and analyse future scenarios for wind farm installation in a local case study. Results demonstrated a total of 1% (23 km(2)) of moderate feasibility areas in local scaled analysis, compared to 4% of (21,600 km(2)) very high, and 5% (30,000 km(2)) of high feasibility in larger scale analysis. The main challenges were data availability and discretization when trying to expand the model from local to regional level. The use of BBN models to determine the feasibility of offshore wind farm areas has been demonstrated adequate and possible, both at local and regional scales, allowing managers to take management decisions regarding marine spatial planning when including different activities, environmental problems and technological constraints. (C) 2019 Elsevier B.V. All rights reserved.

Increasing anthropogenic pressures such as pollution, climate change or invasive species can have multiple impacts on ecosystems and the services (ES) they provide. To address the potential effects on ES provision, we propose a geospatial framework to identify and analyze the cumulative effects on terrestrial and freshwater ES. The framework includs an impact chain analysis based on ten pressures grouped into six categories (pollution, climate change, land-use change, overexploitation, land fragmentation, invasive species) and their single or multiple effects on five key ES of the Alpine environment (recreation, forest protection, CO2 sequestration, habitat maintenance, grassland biomass). Results show that the areas most affected by cumulative effects were located in major urban centers, in the Po Valley, Germany, Slovenia, and in coastal areas of the Adriatic Sea. The spatial coincidence analysis of pressure P-ES on IUCN protected sites showed that protection categories IV and V mostly had high P/high ES scores. Our approach will help in management and planning for mountain conservation aimed at reducing multi-pressure occurrences in transboundary environments. The framework can be used to identify areas with the highest ES provision, characterize areas with high stress from anthropogenic pressures, and examine the effects of pressures on protected areas.

The recent H2020 Blue Growth projects MARIBE and MUSES investigated the potential of a variety of different combinations of economic activities in co-location or integrated in multi-use platforms. Both projects identified barriers - including regulatory, financing, liability and insurance issues; environmental concerns; stakeholder perceptions; and lack of appropriate skills – that hamper the development of multi-use platforms. The H2020 MARIBE project concluded that further funding for multi-use demonstrations should be provided to increase investor confidence and bring multi-use through the so-called Valley of Death. The H2020 MUSES project concluded that multi-use needs to be proactively facilitated and incentivised through public regulatory bodies and respective support programmes. This paper combines and analyses results from both projects in order to identify key research gaps and actions required for the continued development of multi-use platforms, based on a structured critical review of available peer-reviewed literature on the topic as well as reports of both the MUSES and MARIBE projects. Research gaps and actions are analysed based on a multi-use platform typology to inform developers, policy makers, academia and investors for future development of multi-use at sea.

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 p...

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.

Anthropogenic activity such as offshore wind energy farm development, shipping activity, resource extraction platforms or marine aquaculture can have adverse impacts on the visual quality of coastal landscapes. GIS-based viewshed analysis is the most widely used technique to address visual impacts. However, despite the wide application its spatial extent remains limited to local and regional studies. This study presents a GIS-based model for cumulative visual impact assessment on macro-regional scale based on a case study for the Baltic Sea. The viewshed model was deployed over a visibility zone covering 54% (223.641 km 2 ) of the Baltic Sea space using a database of 63,672 observation points integrated by geospatial data on existing and planned sea uses representing potential visual stressors. Results show that areas of highest potential visual impact are sheltered coastal areas with complex geomorphological features such as barrier islands, peninsulas, straits, archipelagos and lagoons in combination with intensive anthropogenic activity and presence of nature protected areas. The methodology can be applied to any coastal area of the world to classify coastal areas due to their cumulative viewshed characteristics and as early monitoring tool for visual impact assessment on transboundary scale.

The Lithuanian sea space belongs to the smallest sea areas in Europe. The sea space incorporates multiple marine ecosystem services (MES) that support human-wellbeing and sustain maritime economies, but is also subjected to intensive anthropogenic activities that can affect its vulnerable ecological components. We present a flexible geospatial methodology to assess MES richness (MESR) and to analyse areas of exposure of MES to human impacts using a MES exposure index (MESEx). Source of anthropogenic threats to MES were firstly derived from the Marine Strategy Framework Directive and include marine litter (from ports and shipping), underwater noise (from offshore pile driving and shipping) and hazardous substances (from oil extraction platforms). Results were presented for the three main planning areas in Lithuania, the Lithuanian Coastal Stripe, territorial waters and EEZ. In detail, areas of highest MESR are located in the coastal areas of the Lithuanian Mainland Coast that are particularly rich in ecosystem services such as nursery function from for Baltic Herring and cultural services related to valuable recreational resorts, landscape aesthetic values and natural heritage sites. Modelled pressure exposure on selected MES show that cultural ecosystem services in proximity of Klaipėda Port can be particularly affected by marine litter accumulation phenomena, while transboundary effects of potential oil spills from D6-Platform (Kaliningrad Region) can affect valuable fish provisioning areas and coastal cultural values in the Curonian Spit. Results were discussed for the relevance in MES assessment for marine spatial planning in small sea areas and the methodological outlook of the application of geospatial techniques on cumulative impacts assessment within this region of the Baltic Sea.

Coastal tourism is a growing industry sector in the Mediterranean Basin. This and the other human activities occurring along the coastline share space and resources, leading to conflicts for divergent uses. Moreover, the overexploitation of natural resources degrades and depletes coastal habitats, with negative feedback effects for all human activities. Hence, both tourism and the other human activities have to consider their dependence on coastal ecosystem services, and act at technical and policy level to reach a compromise that preserves natural resources in the long term. Here we provide a conceptual framework illustrating the complex relationships and trade-offs among threats from coastal tourism and from other human activities and coastal ecosystem services, with a focus on cultural ones. We discuss the negative feedbacks on tourism development and provide examples of geospatial analysis on cumulative threats generated by other human activities and affecting tourism itself. The proposed conceptual framework and the threat analysis aim at highlighting the negative feedback effects of human driven threats on the development of Mediterranean coastal tourism, through an ecosystem service perspective. Both tools provide valuable insight for supporting decision makers and planners in achieving integrated coastal management, with a focus on sustainable tourism.

This research presents a comprehensive Cumulative Eects Assessment (CEA) based on the Tools4MSP modelling framework tested for the Italian Adriatic Sea. The CEA incorporates ve methodological advancements: (1) linear and non-linear ecosystem response to anthropogenic pressures/effects, (2) modelling of additive, dominant and antagonist stressor effects, (3) implementation of a convolution distance model for stressor dispersion modelling, (4) application of a CEA backsourcing (CEA-B) model to identify and quantify sources of anthropogenic pressures affecting environmental components, based on the convolution distance model and (5) a novel CEA impact chain visualization tool based on Sankey diagrams. Results from CEA in the Italian Adriatic Sea show that highest CEA scores are located in the Northern Adriatic Sea (Port of Trieste and Venice Lagoon inlets) while abrasion, marine litter and selective extraction are the most pronounced pressures within the 12 nm. Results from CEA-B application for two case studies evidence a clear distinction among local human impacts (trawling, small scale shery) versus long-range diffusive human impacts (underwater noise and marine litter). Results were discussed for their geospatial outcomes, importance for transboundary effects assessment, conservation planning and future application potentials., This is a preprint version of the final article "Menegon S., Depellegrin D., Farella G., Gissi E., Ghezzo M., Sarretta A., Venier C., Barbanti A. 2018. A modelling framework for MSP-oriented cumulative effects assessment. Ecological Indicators 91:171–181. DOI: 10.1016/j.ecolind.2018.03.060

This research presents a set of multi-objective spatial tools for maritime spatial 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) 3-D hydrodynamic modelling of nutrient dispersion (nitrogen and phosphorus) from riverine sources in the Adriatic Sea Basin; 3) analysis of sea use conflicts and 4) marine ecosystem services capacity assessment from benthic habitats based on an ES matrix approach. Modelling results were presented and discussed for their spatial distribution and relevance for national and international regulatory frameworks in the Adriatic-Ionian Region. Pre-print open access (CC-BY) version available: https://doi.org/10.5281/zenodo.832445, This is a post-print (post-peer reviewed) version of the following final paper: "Daniel Depellegrin, Stefano Menegon, Giulio Farella, Michol Ghezzo, Elena Gissi, Alessandro Sarretta, Chiara Venier, Andrea Barbanti, Multi-objective spatial tools to inform maritime spatial planning in the Adriatic Sea, In Science of The Total Environment, Volume 609, 2017, Pages 1627-1639, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2017.07.264." This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

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.

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.

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 400 m2 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 (0 months), 2, 5, 7 and 9 months 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 0 months after the fire until 7 months 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.

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.

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

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.

Significance StatementIn the management of natural resources and biodiversity, humans and nature have traditionally been considered as two distinct systems, one controlling the other. The concept of socio-ecosystems allows a more integrated approach, in which humans and nature are recognized as interdependent. However, this new perspective does not necessarily eliminate a distinction between humans and nature, or even a hierarchy of humans over nature. This chapter aims to raise awareness of the potential human–nature dualism in socio-ecosystem approaches. Other research fields have adopted different approaches regarding human–nature integration versus dualism, offering a window on the advantages and limitations of various positions. We also discuss how methodological choices are important to translate human–nature integration or dichotomy depending on the study aim.