The assessment and management of landscape fragmentation (LF), i.e., the subdivision of the habitat into smaller and more isolated patches, can benefit from the adoption of a composite indicator explaining, in a unique measure, the various concerns involved. However, the use of composite indicators may be affected by lack of data, subjectivity in algorithm design, and oversimplification connected to reduction to just one index. In these cases, the findings obtained might not provide the researcher with reliable information. In this paper, we design and apply the Composite Indicator of Landscape Fragmentation (CILF), a metric resuming three indicators concerning the effect on LF of transport and mobility infrastructures, human settlements, and patch density per se. The application concerns the measurement of LF spatial pattern and dynamics from 2003 to 2008 of 51 landscape units in the island of Sardinia (Italy). We considered a complete spatial data set, chose the generalized geometric mean as aggregation algorithm, and verified its robustness via sensitivity analysis of the results. We found that, in 2003 and 2008, the CILF spatial pattern shows higher values in coastal areas and has varied randomly, i.e., without a consistent tendency to converge to, or diverge from, a mean value. Overall, we demonstrate that the CILF is a powerful instrument for monitoring LF in Sardinia and advocate that it can be further implemented, following the same methodological framework, by extending the pool of indicators considered and assessing a weighted version of the composite indicator.

Landscape fragmentation (LF) is the process where habitat patches tend to become smaller and more isolated over time. It is mainly due to human activities and affects habitats, biodiversity, ecosystem balance, and ecological networks. Transport and mobility infrastructures and urbanized areas—also in the form of suburban and rural sprawl—contribute to LF and can be localized close to (or included in) Natura 2000 sites (N2000 sites). N2000 sites are set according to the Habitats and Birds Directives and consist of special protection areas, sites of community importance, and special areas of conservation, where LF may threaten habitat quality and species survival and dispersal. Then, new rules and planning approaches are called for defining effective protection measures. The knowledge of the context appears to be a priority to achieve such aims. Therefore, this study focuses on LF in N2000 sites. We apply the rural buildings fragmentation index (RBFI) and the effective mesh density (Seff) in six landscape units in Sardinia (Italy). Then, we report on the least and the most fragmented N2000 sites and assess if there is correlation between RBFI and Seff. In this study, RBFI and Seff provide not trivial outcomes, as they are weakly and positively correlated.

European spatial planners deal with two major concerns: adaptation to climate changes (ACC) and the design and management of green infrastructures (GIs). ACC calls for the renewal of spatial planning with constant appeals to the need to adequately prepare for extreme climate events. GIs deliver ecosystem services (ES), which consist of beneficial functions to living beings in terms of, for example, helping people adapt to climate change. An effective implementation of adaptation measures at the regional and sub-regional scale is based on an efficient and prompt spatial planning system and GIs management. In this paper, we aim at comparing the attitudes of Italian and Polish spatial planning systems with respect to the integration of concepts related to ACC and GIs. We describe commonalities and differences between the two spatial planning frameworks by scrutinizing regional plans adopted in Sardinia (Italy) and Wielkopolska (Poland). We found out a scarce consideration of both ACC and GIs planning and management. The findings suggest that the regional spatial planning tools need to be updated to be fully satisfactory in terms of ACC and GIs concepts.

Climate change is a concerning phenomenon worldwide. The reduction in greenhouse gas emissions is the core of the mitigation strategies that are effective countermeasures to address a changing climate in the long term. Nevertheless, the need for short-term solutions regarding adaptation to climate change (ACC) has gained growing interest in the scientific community and in European institutions. European and national ACC principles are being integrated in strategies and plans. In Italy, some regions have adopted ACC principles in strategic plans, which influence the whole local planning system and persuade local communities to become more climate-resilient. This study focuses on the mainstreaming of ACC into strategies, plans, programs, and projects (SPPPs) adopted by the following Italian cities: Bologna, Milan, Naples, Rome, Turin, and Venice. We scrutinize the contents of SPPPs with respect to four criteria: (i) references to strategies or plans for ACC; (ii) inclusion of ACC objectives and (iii) measures; and (iv) references to—or the inclusion of—climatic analysis on historical series and/or future projections. We found out that most SPPPs adopted by the cities have considered ACC in a promising way, i.e., all the cities are inclined to promote ACC, despite three of them lacking a municipal ACC strategy or plan and a National Adaptation Plan not being in force.

Although climate change adaptation (CCA) and spatial planning are relevant to promoting climate resilience, Italy shows a certain lack of studies focused on the coherence between national CCA objectives and sectoral plans. We aim to investigate such a research gap and propose and apply a logical framework approach (LFA)-based method to assess the coherence of sectoral plans adopted in Sardinia (Italy) with the missions of the Italian National Climate Change Adaptation Plan (NCCAP). We apply LFA to analytically scrutinize sectoral plans by reconstructing their strategic framework—including objectives and actions—and comparing them to the CCA objectives established by the NCCAP. The purpose is to provide the regional administrations with a methodological approach and tangible findings, suggesting the need for updating plans lacking CCA contents and contributing to the drafting or updating of the regional strategy for CCA. The method adopted in this study allowed us to identify plan objectives and actions that fully or partially integrate NCCAP objectives. Then, plans partially (or not at all) consistent with the NCCAP can be integrated with CCA contents. This is relevant to promoting climate resilience issues in plans that have clear effects in terms of spatial, landscape, and urban planning, according to different governance levels.

Urban green spaces (UGS) supply a wide range of ecosystem services (ESs), which are key to mitigation and adaptation to climate changes. In this study, we focus on two ESs, i.e., greenhouse gas sequestration by terrestrial ecosystems and mitigating the heat island effect through vegetation, as defined by the Common International Classification of Ecosystem Services. The purpose is to support municipalities with characteristics similar to those of the municipality investigated in this study with a rough assessment of ESs through freely available data. The ES delivery capacity assessment relies on the adoption of two indicators: (i) increased carbon storage in forests and (ii) the Heat Island Mitigation Index (HIMI). We applied the method to the UGS of the municipality of Sassari (Italy) and found that the potential amount of carbon storage is 42,052.7 t, while the value of HIMI provided by the green spaces in the homogeneous territorial areas is 67.73%. The methodological approach adopted in this study is potentially applicable in Italian as well as Mediterranean small to medium municipalities to integrate the quantitative assessment of ESs in local planning tools. The novelty of this study lies in the applied practical approach, which is implementable by public bodies lacking data and resources, to assessing prima facie the need for operational climate adaptation and mitigation strategies.