Vulnerability assessment of English and Welsh coastal areas DOI Creative Commons
Komali Kantamaneni,

Liuchang Xing,

Vijaya Gupta

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 10, 2024

The escalating threat of climate change has placed global coastal communities at risk, with rising sea levels and intensified storm events presenting unprecedented challenges. Coastal vulnerability assessments, conducted every 3-5 years, are crucial. This empirical study assesses the Vulnerability Index (CVI) for distinct contexts Dawlish, Happisburgh (England), Aberystwyth (Wales). CVI method consists Physical (PCVI) Economic (ECVI), which provide a multidimensional assessment zones. integrated index allows nuanced evaluation vulnerability, distinguishing between sites based on various factors. Additionally, this correlation analysis to understand associations parameters. findings demonstrate that physical features like beach dune widths significantly impact location's natural defences, economic factors such as property values population density equally crucial in determining societal risks potential financial repercussions. Combined (CCVI) results confirm effectiveness incorporating diverse range variables. Despite its substantial value, it reveals Dawlish requires targeted protective measures, whereas needs an increased focus most vulnerable sectors. emerges area highest overall underscoring need comprehensive management practices. study's conclusions emphasize essential role adaptive, strategies enhancing resilience against complex threats posed by dynamics. Moving forward, indices established herein advocate their use strategic planning policymaking strengthen regions face sea-level rise climatic variability. investigation lays groundwork future research, aimed refining expanding these methodologies, aspiring develop detailed national atlas, critical tool informed decision-making safeguarding at-risk communities.

Язык: Английский

Balancing urbanization, agricultural production and ecological integrity: A cross-scale landscape functional and structural approach in China DOI
Yafei Wang, Yao He, Jie Fan

и другие.

Land Use Policy, Год журнала: 2024, Номер 141, С. 107156 - 107156

Опубликована: Апрель 2, 2024

Язык: Английский

Процитировано

6

Landscape science, coastal instruments, and landscape change: Evolutionary insights from Portugal DOI Creative Commons
Carla Gonçalves, Paulo Pinho, José Alberto Gonçalves

и другие.

Progress in Planning, Год журнала: 2025, Номер 196, С. 100959 - 100959

Опубликована: Апрель 9, 2025

Язык: Английский

Процитировано

0

Improving landscape sustainability across urban and rural regions in a changing world DOI Creative Commons
Zhifeng Liu,

Yupeng Liu,

Qian Cao

и другие.

Landscape Ecology, Год журнала: 2025, Номер 40(5)

Опубликована: Апрель 28, 2025

Язык: Английский

Процитировано

0

Changes of land use and landscape pattern along sea–land gradient in developed coastal region: A case study of Jiangsu Province, China DOI
Jiahao Zhai, Lijie Pu, Lu Qie

и другие.

Ecological Indicators, Год журнала: 2025, Номер 176, С. 113635 - 113635

Опубликована: Май 21, 2025

Язык: Английский

Процитировано

0

Integrating Multi-Source Data to Explore Spatiotemporal Dynamics and Future Scenarios of Arid Urban Agglomerations: A Geodetector–PLUS Modelling Framework for Sustainable Land Use Planning DOI Creative Commons
Lu Gan, Ümüt Halik, Lei Shi

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(11), С. 1851 - 1851

Опубликована: Май 26, 2025

Land use and landscape changes undermine the balance between humans environment, threatening sustainable regional development, yet their driving mechanisms future trends remain insufficiently understood, particularly in arid areas. This study establishes a long-term analytical framework for temporal evolution of land patterns areas, based on Landsat remote sensing imagery socio-economic data. We investigate spatiotemporal trends, mechanisms, spatial non-stationarity landscapes, apply Patch-generating Use Simulation (PLUS) model to predict under business-as-usual (BAU), economic development (ED), ecological protection (EP) scenarios. The results show that: (1) Grassland unused together account over 80% total area. From 1990 2020, built-up expanded by 1471.58 km2, an increase 190.09%. comprehensive dynamic degree Urumqi–Changji–Shihezi (UCS) region was 0.22%, with highest value observed 2000 2010. (2) At class level, heterogeneity fragmentation different types increased, enhancing diversity. (3) Spatiotemporal were driven combined effects natural factors, conditions, policy influences. (4) By 2030, all three scenarios, is expected decrease, most significant reduction EP scenario. will notably scenario, expand, especially ED cropland also grow, mainly Forest water areas slight decreases minimal fluctuations. Overall, proposed effectively captures dynamics forces changes, providing support formulation policies.

Язык: Английский

Процитировано

0

Vulnerability assessment of English and Welsh coastal areas DOI Creative Commons
Komali Kantamaneni,

Liuchang Xing,

Vijaya Gupta

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 10, 2024

The escalating threat of climate change has placed global coastal communities at risk, with rising sea levels and intensified storm events presenting unprecedented challenges. Coastal vulnerability assessments, conducted every 3-5 years, are crucial. This empirical study assesses the Vulnerability Index (CVI) for distinct contexts Dawlish, Happisburgh (England), Aberystwyth (Wales). CVI method consists Physical (PCVI) Economic (ECVI), which provide a multidimensional assessment zones. integrated index allows nuanced evaluation vulnerability, distinguishing between sites based on various factors. Additionally, this correlation analysis to understand associations parameters. findings demonstrate that physical features like beach dune widths significantly impact location's natural defences, economic factors such as property values population density equally crucial in determining societal risks potential financial repercussions. Combined (CCVI) results confirm effectiveness incorporating diverse range variables. Despite its substantial value, it reveals Dawlish requires targeted protective measures, whereas needs an increased focus most vulnerable sectors. emerges area highest overall underscoring need comprehensive management practices. study's conclusions emphasize essential role adaptive, strategies enhancing resilience against complex threats posed by dynamics. Moving forward, indices established herein advocate their use strategic planning policymaking strengthen regions face sea-level rise climatic variability. investigation lays groundwork future research, aimed refining expanding these methodologies, aspiring develop detailed national atlas, critical tool informed decision-making safeguarding at-risk communities.

Язык: Английский

Процитировано

1