Urban adaptation index: assessing cities readiness to deal with climate change

2021 ◽  
Vol 166 (1-2) ◽  
Author(s):  
Eduardo Alves Neder ◽  
Fabiano de Araújo Moreira ◽  
Michele Dalla Fontana ◽  
Roger Rodrigues Torres ◽  
David Montenegro Lapola ◽  
...  
Keyword(s):  
Climate Change ◽  
Urban Adaptation ◽  
Adaptation Index

scholarly journals Boundary spanning for governance of climate change adaptation in cities: Insights from a Dutch urban region

2017 ◽  
Vol 36 (5) ◽  
pp. 837-855 ◽  
Author(s):  
Marcin Dąbrowski
Keyword(s):  
Climate Change ◽  
Urban Climate ◽  
Boundary Spanning ◽  
Urban Setting ◽  
Urban Region ◽  
Track Record ◽  
Adaptation Policies ◽  
Multi Level ◽  
Negative Impacts ◽  
Urban Adaptation

Adapting to climate change in the urban setting requires cooperation across scales, levels of government, organisational boundaries and policy sectors. The study presented in the paper explores governance of urban adaptation policies through the conceptual lens of multi-level governance and boundary spanning. It focuses on the South Wing of the Randstad in The Netherlands, an urban region that is heavily exposed to the negative impacts of climate change, particularly to flooding, due to its location in the Rhine-Meuse delta and concentration of population and economic activity. Yet, it is also a region with strong traditions of cooperation and a track record of pioneering urban climate change measures. The study investigates how the features of the wider institutional context, in which this urban region operates shape the governance of urban adaptation policies and how the contextual factors constrain the scope for spanning horizontal, vertical and temporal boundaries needed for delivering those policies and making the cities of that region more climate-proof.

scholarly journals Change Vulnerability Forecasting Using Deep Learning Algorithm for Southeast Asia

2018 ◽  
Vol 1 (2) ◽  
pp. 74 ◽  
Author(s):  
Amelia Ritahani Ismail ◽  
Nur ‘Atikah Binti Mohd Ali ◽  
Junaida Sulaiman
Keyword(s):  
Climate Change ◽  
Learning Algorithm ◽  
Primary Data ◽  
South East Asia ◽  
Learning Tools ◽  
Vulnerability Factors ◽  
Deep Learning Algorithm ◽  
Vulnerability To Climate Change ◽  
The Stability ◽  
Adaptation Index

Climate change is expected to change people’s livelihood in significant ways. Several vulnerability factors and readiness factors used for measuring the prediction index of that particular country on how vulnerable of a country towards global change. Primary data was collected from University of Notre Dame Global Adaptation Index (ND-GAIN). The data has been trained for the forecasting purpose with support from the validated statistical analysis. The summary of the predicted index is visualized using machine learning tools. The results developed the correlation between vulnerability and readiness factors and shows the stability of the country towards climate change. The framework is applied to synthesize findings from Prediction index studies in South East Asia in dealing with vulnerability to climate change.

scholarly journals Developing indicators to assess climate change adaptable in Ba ria-Vung tau province and proposed improve solutions

2016 ◽  
Vol 19 (2) ◽  
pp. 109-121
Author(s):  
Dung Minh Ho ◽  
Nhan Ai Hoang ◽  
Ly Dinh Che
Keyword(s):  
Climate Change ◽  
Rice Variety ◽  
Average Level ◽  
Adaptation Period ◽  
Mangrove Forests ◽  
Adaptation To Climate Change ◽  
Provincial Level ◽  
Assess Climate Change ◽  
Adaptation Index

With the target of research is assess and classify the ability to adapt climate change for districts of Ba Ria-VungTau (BR-VT) province and proposed improve solutions, the authors used MCA, Entropy weighting and SAW methods to evaluate and achieve the results as follows: Developing indicators to assess climate change adaptable in BR-VT province includes 12 topics and 24 indicators corresponding to the provincial level. And adaptation indicators for the districts, including 9 topics and 16 indicators. The indicators belongs to two main groups to assess the vulnerability and adaptable to climate change; The results were evaluated by the provincial level adaptation period 2009 - 2012 shows that adaptation index has increased over the years and reached an average level of adaptation (52 points) for climate change and fluctuation of adaptation index is from 50.97 to 52.96; The adaptation index of the districts is low. Ba Ria city has the highest adaptation index 57.61 points – at average level, follows by Vung Tau city. The lowest is 49.29 points in Chau Duc district. Besides, authors proposing solutions to improve adaptation to climate change as the solution to landslide coast control, land erosion, maintain and development of coastal mangrove forests of the province and propose rice variety can adapt to saline aluma and get yield stable.

scholarly journals Urban Adaptation to Climate Change: geographers and wicked problems

2018 ◽  
Author(s):  
Andrew Kirby
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Applied Research ◽  
Climate Change Impacts ◽  
Wicked Problems ◽  
Adaptation To Climate Change ◽  
Academic Practice ◽  
Methodological Challenges ◽  
Urban Adaptation

 This paper explores the importance of adaptation to climate change impacts in urban areas. The complexity of existing and likely impacts poses unique challenges to all aspects of society, from state to polity and economy. These in turn pose methodological challenges to academic practice, demanding the integration of macro and micro perspectives and pure and applied research. The paper argues that geographers can make significant contributions to this scholarship. 

Urban Adaptation to Climate Change

2020 ◽  
Author(s):  
Vivek Shandas ◽  
Cynthia Skelhorn ◽  
Salim Ferwati
Keyword(s):  
Climate Change ◽  
Adaptation To Climate Change ◽  
Urban Adaptation

Brief Communication: Piloting a Climate-Change Adaptation Index on US National Forest Lands

2021 ◽  
Author(s):  
Michael R Coughlan ◽  
Heidi Huber-Stearns ◽  
Courtney Schultz
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
The United States ◽  
Northern Region ◽  
Forest Service ◽  
National Forests ◽  
National Forest ◽  
Planning And Management ◽  
Forest Lands ◽  
Adaptation Index

Abstract Climate change presents a novel and significant threat to the sustainability of forest ecosystems worldwide. The United States Forest Service (USFS) has conducted climate change vulnerability assessments for much of the 193 million acres of national forest lands it manages, yet little to no research exists on the degree to which management units have adopted considerations of climate change into planning or project implementation. In response to this knowledge gap, we piloted a survey instrument in USFS Region 1 (Northern region) and Region 6 (Pacific Northwest region) to determine criteria for assessing the degree to which national forests integrate climate-change considerations into their management planning and activities. Our resulting climate-change adaptation index provides an efficient quantitative approach for identifying where, how, and, potentially, why some national forests are making more progress toward incorporating climate-change adaptations into forest planning and management. Study Implications We used a self-assessment survey of planners and managers on US National Forests in Forest Service Regions 1 and 6 to design a climate change adaptation index for measuring the degree to which national forests units have integrated considerations of climate change into their planning and management activities. Our resulting index can potentially be used to help understand how and why the USFS’s decentralized climate-change adaptation strategy has led some national forests to make comparatively significant progress towards adapting to climate change while others have lagged behind.

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