A spatially explicit framework for climate adaptation

被引:24
|
作者
Kunapo, Joshphar [1 ,2 ]
Fletcher, Tim D. [1 ]
Ladson, Anthony R. [1 ]
Cunningham, Luke [3 ]
Burns, Matthew J. [1 ]
机构
[1] Univ Melbourne, Sch Ecosyst & Forest Sci, Richmond, Australia
[2] Grace Detailed GIS Serv, Taylors Lakes, Australia
[3] Water Technol, Notting Hill, Australia
关键词
Spatial framework; climate adaption; strategic decision support system; vulnerability; intervention modelling; URBAN-ENVIRONMENT; FLOOD; DROUGHT; STORAGE; POLICY; TREES; RISK;
D O I
10.1080/1573062X.2018.1424216
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Cities increasingly confront climate change-related problems of flooding, urban heat island effects, and the impact of drought on vegetation. There is a need for urban water and infrastructure planners to be able to identify vulnerable areas and to design, compare and evaluate interventions to address these problems. In response to this need, we developed the Integrated Climate Adaptation Model (ICAM), which is a Web-GIS tool based on a spatially explicit framework. ICAM has a user-friendly interface for use by a wide range of urban planning and design professionals. The tool is built on high-resolution spatial datasets, allowing users to identify critical areas that may be impacted by sea-level rise, drought, flooding, temperature increases and threats to tree heath and to consider the benefits of various grey and green infrastructure interventions. The tool is suitable for planning and evaluating interventions and to identify pathways for further desktop modelling.
引用
收藏
页码:159 / 166
页数:8
相关论文
共 50 条
  • [31] Investigating population continuity with ancient DNA under a spatially explicit simulation framework
    Silva, Nuno Miguel
    Rio, Jeremy
    Currat, Mathias
    BMC GENETICS, 2017, 18
  • [33] A framework for the development of the SERV model: A Spatially Explicit Resilience-Vulnerability model
    Frazier, Tim G.
    Thompson, Courtney M.
    Dezzani, Raymond J.
    APPLIED GEOGRAPHY, 2014, 51 : 158 - 172
  • [34] The assessment of mangrove biomass and carbon in West Africa: a spatially explicit analytical framework
    Wenwu Tang
    Wenpeng Feng
    Meijuan Jia
    Jiyang Shi
    Huifang Zuo
    Carl C. Trettin
    Wetlands Ecology and Management, 2016, 24 : 153 - 171
  • [35] The assessment of mangrove biomass and carbon in West Africa: a spatially explicit analytical framework
    Tang, Wenwu
    Feng, Wenpeng
    Jia, Meijuan
    Shi, Jiyang
    Zuo, Huifang
    Trettin, Carl C.
    WETLANDS ECOLOGY AND MANAGEMENT, 2016, 24 (02) : 153 - 171
  • [36] A spatially explicit modeling framework to guide management of subsidized avian predator densities
    O'Neil, Shawn T.
    Coates, Peter S.
    Webster, Sarah C.
    Brussee, Brianne E.
    Dettenmaier, Seth J.
    Tull, John C.
    Jackson, Pat J.
    Casazza, Michael L.
    Espinosa, Shawn P.
    ECOSPHERE, 2023, 14 (08):
  • [37] Framework for Climate Change Adaptation of Agriculture and Forestry in Mediterranean Climate Regions
    Vizinho, Andre
    Avelar, David
    Branquinho, Cristina
    Capela Lourenco, Tiago
    Carvalho, Silvia
    Nunes, Alice
    Sucena-Paiva, Leonor
    Oliveira, Hugo
    Fonseca, Ana Lucia
    Duarte Santos, Filipe
    Roxo, Maria Jose
    Penha-Lopes, Gil
    LAND, 2021, 10 (02) : 1 - 33
  • [38] Spatially-explicit assessment of flood risk caused by climate change in South Korea
    Jung, Il-Won
    Chang, Heejun
    Bae, Deg-Hyo
    KSCE JOURNAL OF CIVIL ENGINEERING, 2013, 17 (01) : 233 - 243
  • [39] Can fisheries bioenergetics modelling refine spatially explicit assessments of climate change vulnerability?
    Troia, Matthew J.
    Perkin, Joshuah S.
    CONSERVATION PHYSIOLOGY, 2022, 10 (01):
  • [40] Slope, aspect and climate: Spatially explicit and implicit models of topographic microclimate in chalk grassland
    Bennie, Jonathan
    Huntley, Brian
    Wiltshire, Andrew
    Hill, Mark O.
    Baxter, Robert
    ECOLOGICAL MODELLING, 2008, 216 (01) : 47 - 59