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ContextA background assumption of landscape approaches is that some landscape patterns are more sustainable than others, and thus searching for these patterns should be a unifying theme for all landscape-related studies. We know much about biodiversity, ecosystems, and human wellbeing in our landscapes, but much less about how their interactions influence, and are influenced by, landscape patterns. To help fill this knowledge gap, landscape sustainability science (LSS) has emerged. However, the core research questions and key approaches of this new field still need to be systematically articulated.ObjectivesThe main objectives of this paper were: (1) to propose a set of core research questions for LSS, and (2) to identify key cross-disciplinary approaches that can help address these questions.MethodsI took a qualitative and subjective approach to review and synthesize the literature relevant to landscape sustainability, based on which I developed core questions and identified key cross-disciplinary approaches.ResultsEight core questions were proposed to focus on understanding the relationships among landscape pattern, biodiversity, ecosystem function, ecosystem services, and human wellbeing, assessing the impacts of environmental and socio-institutional changes on these relationships, and fusing knowledge and action through landscape design/planning and governance processes. Ten inter- and trans-disciplinary approaches were identified, and their key characteristics were discussed in relation to landscape sustainability.ConclusionsLSS has emerged as an interdisciplinary and transdisciplinary research field that aims to understand and improve sustainability by focusing on landscape scales, while considering local and global scales in the same time. To advance LSS, future research not only needs to emphasize the relationships among landscape pattern, ecosystem services, and human wellbeing, but also to proactively integrate complementary approaches across natural and social sciences. Landscape sustainability is inevitably connected to the broader regional and global context; but if global sustainability is to be achieved, our landscapes must be sustained first. It is not the other way around.

Context Supply of freshwater to the world’s cities is increasingly affected by human pressures and climate change. Understanding the effects of human pressures and climate change on global urban water scarcity and quality risks in an integrated way is important. Objectives The objective of this study is to assess the scarcity and quality risks to water security for 304 large cities (population > 1 million) across the world for 2015 and 2050. Methods We assessed the water scarcity according to water demand and availability, and evaluated the quality of water supply in terms of the population density, cropland fertilization, and landscape patterns in source watersheds. In addition, the impacts of human pressures and climate change on urban water risks were quantified using contribution analysis. Results We found that about 90% of these cities faced water risks in 2015. The number of cities facing quality risk was about three times the number of cities facing scarcity risk, and nearly a quarter faced dual risks. From 2015 to 2050, 88.8–99.7% of cities were projected to face rising water risks with about one-third facing dual risks by 2050. Increase in water demand was the main cause of rising scarcity risk; growth in population and crop fertilization in source watersheds were the main reasons for rising quality risk. Conclusions There is an urgent need to promote landscape conservation of urban water source areas, implement sustainable urban water planning and governance, improve water supply infrastructure, and refine ecological compensation regimes to achieve global urban water security.

Context Cultural landscapes evolve over time. However, the rate and direction of change might not be in line with societal needs and more information on the forces driving these changes are therefore needed. Objectives Filling the gap between single case studies and meta-analyses, we present a comparative study of landscape changes and their driving forces based in six regions across Europe conducted using a consistent method. Methods A LULC analysis based on historical and contemporary maps from the nineteenth and twentieth century was combined with oral history interviews to learn more about perceived landscape changes, and remembered driving forces. Land cover and landscape changes were analysed regarding change, conversions and processes. For all case study areas, narratives on mapped land cover change, perceived landscape changes and driving forces were compiled. Results Despite a very high diversity in extent, direction and rates of change, a few dominant processes and widespread factors driving the changes could be identified in the six case study areas, i.e. access and infrastructure, political shifts, labor market, technological innovations, and for the more recent period climate change. Conclusions Grasping peoples’ perception supplements the analyses of mapped land use and land cover changes and allows to address perceived landscape changes. The list of driving forces determined to be most relevant shows clear limits in predictability: Whereas changes triggered by infrastructural developments might be comparatively easy to model, political developments cannot be foreseen but might, nevertheless, leave major marks in the landscape.

ContextConstructing a sustainable landscape pattern from the perspective of landscape sustainability is scientifically built on the clarification of the formation mechanisms of landscape services and their relationships. However, the trade-offs and synergies of landscape services have regional heterogeneity, and their influencing factors are largely unknown in polar ecosystem. The Qinghai–Tibet Plateau is a unique but fragile ecosystem, and its landscape services are vital components to the sustainability in this specific polar region.ObjectivesThis study sought to understand the landscape service relationships, their dynamics and influencing factors, and achieve a sustainable landscape management in the Qinghai–Tibet Plateau.MethodsIn this work, we evaluated the spatiotemporal distribution and relationships of multiple landscape services including soil retention (SR), water yield (WY), habitat quality (HQ), crop supply (CS) and livestock supply (LS). We further identified temperature, elevation, population size, land use and land cover (LULC) as influencing factors on landscape services relationships within specific landscape gradients.ResultsOur results show that: (1) SR, WY and HQ decreased significantly from the southeast to the northwest. (2) Regulating services-supporting services are mainly identified as synergies, and CS–HQ and CS–LS are manifested as trade-offs. (3) Geophysical factors (temperature, altitude) have impact on the distribution of CS and the trade-off and synergistic dynamics of WY–HQ, increased population size enhances CS–HQ trade-offs, while between supporting and regulating services show trade-offs in high-coverage grassland and unused land.ConclusionsThe quantitative assessment of landscape services and relationships provides the basis for sustainable landscape management in the context of national policies and climate change.

ContextConservation planning is increasingly using “coarse filters” based on the idea of conserving “nature’s stage”. One such approach is based on ecosystems and the concept of ecological integrity, although myriad ways exist to measure ecological integrity.ObjectivesTo describe our ecosystem-based index of ecological integrity (IEI) and its derivative index of ecological impact (ecoImpact), and illustrate their applications for conservation assessment and planning in the northeastern United States.MethodsWe characterized the biophysical setting of the landscape at the 30 m cell resolution using a parsimonious suite of settings variables. Based on these settings variables and mapped ecosystems, we computed a suite of anthropogenic stressor metrics reflecting intactness (i.e., freedom from anthropogenic stressors) and resiliency metrics (i.e., connectivity to similar neighboring ecological settings), quantile-rescaled them by ecosystem and geographic extent, and combined them in a weighted linear model to create IEI. We used the change in IEI over time under a land use scenario to compute ecoImpact.ResultsWe illustrated the calculation of IEI and ecoImpact to compare the ecological integrity consequences of a 70-year projection of urban growth to an alternative scenario involving securing a network of conservation core areas (reserves) from future development.ConclusionsIEI and ecoImpact offer an effective way to assess ecological integrity across the landscape and examine the potential ecological consequences of alternative land use and land cover scenarios to inform conservation decision making.

Context The study of landscape over different years through the analysis of different sources (cadasters, aerophotos, orthophotos, satellite images) is commonly used in landscape planning and in researches focusing on landscape and land use changes and transformations. Most of these studies, despite the scale and the period analyzed, tend to apply different methodologies, making it difficult to compare results and trends among different landscapes. The aim of the paper is to present the details of the Historical and Environmental Evaluation (VASA) methodology, highlighting the possible applications for landscape changes assessment, by presenting a specific study case as well as its use across different situations. VASA has been developed within the Department of Agricultural, Food, Environmental and Forestry Science and Technology (DAGRI) of the University of Florence to create a standard methodology for the monitoring of landscape transformations, and it was initially applied for the Regional Government of Tuscany (Italy). In 2012, VASA has been chosen by the Italian Ministry of Agriculture, Food Sovereignty and Forests for the assessment of the rural landscapes to be included in the official list of the National Register of Rural Landscapes of Historical Interest often representing the first step for rural landscapes to be proposed for the recognition by international programmes such as the UNESCO WHL (cultural landscapes) and the FAO GIAHS (Globally Important Agricultural Heritage Systems). Results This methodology is based on the photointerpretation of the same area in different years through the Geographic Information Systems (GIS) software, for creating detailed maps and databases of land uses. In addition, various metrics are calculated for evaluating the structure of the landscape mosaic and its transformations. Conclusions Compared to other multitemporal analyses, the VASA methodology is capable of providing reliable, measurable, and comparable data regarding land use characteristics, land use changes, landscape mosaic structure, main vulnerabilities, landscape trends, linear features presence and changes. This approach can be applied to different geographical contexts and for different aims, allowing to compare the results more accurately in different environmental and cultural situations, or for establishing landscape monitoring systems.

Landscape ecology is in a position to become the scientific basis for sustainable landscape development. When spatial planning policy is decentralised, local actors need to collaborate to decide on the changes that have to be made in the landscape to better accommodate their perceptions of value. This paper addresses two prerequisites that landscape ecological science has to meet for it to be effective in producing appropriate knowledge for such bottom-up landscape-development processes--it must include a valuation component, and it must be suitable for use in collaborative decision-making on a local scale. We argue that landscape ecological research needs to focus more on these issues and propose the concept of landscape services as a unifying common ground where scientists from various disciplines are encouraged to cooperate in producing a common knowledge base that can be integrated into multifunctional, actor-led landscape development. We elaborate this concept into a knowledge framework, the structure-function-value chain, and expand the current pattern-process paradigm in landscape ecology with value in this way. Subsequently, we analyse how the framework could be applied and facilitate interdisciplinary research that is applicable in transdisciplinary landscape-development processes.

ContextLand use legacies of human activities and recent post-abandonment forest expansion have extensively modified numerous forest landscapes throughout the European mountain ranges. Drivers of forest expansion and the effects of changes on ecosystem services are currently debated.Objectives(i) To compare landscape transition patterns of the Alps and the Apennines (Italy), (ii) to quantify the dominant landscape transitions, and (iii) to measure the influence of climatic, topographic and anthropogenic driving factors.MethodsLand cover changes and landscape pattern modifications were investigated at the regional (over 28 years, Alps and Apennines, Corine Land Cover dataset) and landscape scale (over 58 years, 8 Alpine and 8 Apennine sites, aerial images). The main driving factors of post-abandonment forest landscape dynamics were assessed with a statistical modeling approach.ResultsForest expansion was the dominant landscape transition at both Italian mountain ranges, with an annual overall rate of 0.6%. Forest expansion was more extensive at lower elevations in the Apennines where climate is less limiting and extensive abandoned croplands and pastures were available throughout the study period. Distance from pre-existing forest edges in the Alps and elevation in the Apennines emerged as the most important predictors.ConclusionsForest expansion is most rapid where areas of recent agricultural abandonment coincide with favorable climatic conditions. Thus the prediction of forest landscape dynamics, in these mountain forests with a long history of cultural use, requires knowledge of how the magnitude and timing of land use changes intersect spatially and temporally with suitable conditions for tree establishment and growth.

Growing a resilient landscape depends heavily on finding an appropriate match between the scales of demands on ecosystems by human societies and the scales at which ecosystems are capable of meeting these demands. While the dynamics of environmental change and ecosystem service provision form the basis of many landscape ecology studies, enhancing landscape resilience is, in many ways, a problem of establishing relevant institutions that act at appropriate scales to modify and moderate demand for ecosystem services and the resulting exploitation of ecosystems. It is also of central importance for landscape sustainability that institutions are flexible enough to adapt to changes in the external environment. The model provided by natural ecosystems suggests that it is only by encouraging and testing a diversity of approaches that we will be able to build landscapes that are resilient to future change. We advocate an approach to landscape planning that involves growing learning institutions on the one hand, and on the other, developing solutions to current problems through deliberate experimentation coupled with social learning processes.