The aim of the paper was to present the procedure of building neighborhood resilience to climate threats, embedded in planning (from the strategic to local level) and design process and focused on usage of natural adaptive potential. The presented approach encompasses: (1) the strategic identification of focal areas in terms of climate adaptation needs, (2) comprehensive diagnosis of local ecological vulnerability and natural adaptive potential to build adaptive capacity, and (3) incorporation of natural adaptive potential through an identified set of planning and design tools. For diagnosis and strategic environmental impact assessment, the multicriteria analysis has been elaborated. The described procedure is applied to the City of Warsaw on the strategic level, by elaboration of the ranking of districts in terms of priority to take adaptation actions based on climatic threats, demographic vulnerability, and assessment of Warsaw Green Infrastructure potential. For further analysis at the planning and design stage, the district with the most urgent adaptation needs has been chosen, and within its borders, two neighborhoods (existing and planned one) with diagnosed ecological sensitivity were selected. Both case studies were analyzed in terms of environmental conditions, urban structure, and planning provisions. It enabled identification of existing natural adaptive potential and assessment of its use. As a result, propositions for enhancing neighborhood resilience to climate change were suggested.
This chapter examines the complex interplay between technology and landscape planning in the Arab Middle East, situated within the broader context of discourses surrounding landscape design. As the region grapples with unprecedented climate change challenges, the narrative unfolds to explore how cutting-edge technologies support research and sustainable practices for climate resilience. The chapter investigates the transformative role of technology in shaping landscapes that not only withstand the impacts of climate change but also contribute to ecological restoration. By spotlighting Geographic Information Systems, remote sensing, artificial intelligence, and advanced modeling tools, the discourse is enriched with a comprehensive examination of data-driven approaches to landscape planning in terms of risk assessment, solutions development, and strategic interventions. The chapter illuminates how these technologies are leveraged to address water scarcity, temperature extremes, and other climate-induced challenges in the region through a series of case studies. The chapter underscores the importance of interdisciplinary collaboration, d ata accessibility, and traditional ecological knowledge in fostering climate-resilient planning. It argues that while digital innovation offers significant potential, it must be contextually grounded and inclusive to be effective. By bridging local knowledge systems with global technologies, the region can offer unique insights into climate adaptation. Ultimately, the chapter positions the Arab Middle East as both a testing ground and a contributor to global discourses on sustainable landscape transformation. <!----> <!----> <!----> <!---->
Existing studies on adaptive capacity often focus on isolated theoretical aspects of the concept, without offering practical tools for climate policy. Moreover, gaps remain in integrating public participation into adaptation strategies and in extending research beyond specific climate-related threats, such as flooding. Current climate adaptation plans usually rely on public statistics, which are not accurate enough to reflect adaptive capacity at the local level. Improving such plans requires incorporating local knowledge and adequately addressing the needs of vulnerable groups. This article proposes a survey-based tool for measuring social adaptive capacity, providing policymakers with detailed insights into a community’s ability to cope with climate change. The tool was tested while developing a climate adaptation plan for a medium-sized city in Poland. A total of 238 responses were analysed, applying basic and non-parametric statistical methods across four key variables: risk perception of climate change, perceived adaptive capacity, adaptation motivation, and adaptation behaviour. Findings revealed that residents were aware of climate change and believed in the necessity of adaptation. To translate this awareness into sustainable action, local authorities should raise individual responsibility, offer technical and financial guidance, provide various forms of financial assistance, and strengthen social capital, which could increase participation in grassroots initiatives.