Abstract
Studies of climate change at specific intervals of future warming have primarily been addressed through top-down approaches using climate projections and modelled impacts. In contrast, bottom-up approaches focus on the recent past and present vulnerability. Here, we examine climate signals at different increments of warming and consider the need to reconcile top-down and bottom-up approaches. We synthesise insights from recent studies in three climate-sensitive systems where change is a defining feature of the human-environment system. Whilst top-down and bottom-up approaches generate complementary insights into who and what is at risk, integrating their results is a much-needed step towards developing relevant information to address the needs of immediate adaptation decisions.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Seneviratne, S. I., Donat, M. G., Pitman, A. J., Knutti, R. & Wilby, R. L. Allowable CO2 emissions based on regional and impact-related climate targets. Nature 529, 477 (2016).
IPCC: Summary for Policymakers. In IPCC Special Report on Global Warming of 1.5 °C (eds Masson-Delmotte, V. et al.) (World Meteorological Organization, 2018).
Schellnhuber, H. J. et al. Turn down the heat: climate extremes, regional impacts, and the case for resilience (World Bank, 2013).
Huang, J., Yu, H., Guan, X., Wang, G. & Guo, R. Accelerated dryland expansion under climate change. Nat. Clim. Change 6, 166–171 (2016).
Harrington, L. J. et al. Poorest countries experience earlier anthropogenic emergence of daily temperature extremes. Environ. Res. Lett. 11, 055007 (2016).
Bathiany, S., Dakos, V., Scheffer, M. & Lenton, T. M. Climate models predict increasing temperature variability in poor countries. Sci. Adv. 4, eaar5809 (2018).
Dessai, S. & Hulme, M. Does climate adaptation policy need probabilities? Clim. Pol. 4, 107–128 (2004).
Lempert, R. J. & Collins, M. T. Managing the risk of uncertain threshold responses: comparison of robust, optimum, and precautionary approaches. Risk Anal. 27, 1009–1026 (2007).
Preston, B. L., Mustelin, J. & Maloney, M. C. Climate adaptation heuristics and the science/policy divide. Mitig. Adapt. Strat. Gl. 20, 467–497 (2015).
Burton, I., Huq, S., Lim, B., Pilifosova, O. & Schipper, E. L. From impacts assessment to adaptation priorities: the shaping of adaptation policy. Clim. Pol. 2, 145–159 (2002).
Füssel, H. M. Adaptation planning for climate change: concepts, assessment approaches, and key lessons. Sustain. Sci. 2, 265–275 (2007).
Porter, J. J., Demeritt, D. & Dessai, S. The right stuff? Informing adaptation to climate change in British local government. Glob. Environ. Change 35, 411–422 (2015).
Nissen, H. & Conway, D. From Advocacy to action: projecting the health impacts of climate change. PLoS Med. 15, e1002624 (2018).
James, R., Washington, R., Schleussner, C.-D., Rogelj, J. & Conway, D. Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets. WIREs Clim. Change 8, e457 (2017).
Church, J. A. et al. In Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) Ch. 13 (IPCC, Cambridge Univ. Press, 2013).
Nicholls, R. et al. Stabilization of global temperature at 1.5 °C and 2.0 °C: implications for coastal areas. Philos. T. R. Soc. A 376, 20160448 (2018).
Rosenzweig, C. et al. Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc. Natl Acad. Sci. USA 111, 3268–3273 (2014).
Lampe, M. et al. Why do global long‐term scenarios for agriculture differ? an overview of the AgMIP global economic model intercomparison. Agric. Econ. 45, 3–20 (2014).
Van Aalst, M. K., Cannon, T. & Burton, I. Community level adaptation to climate change: the potential role of participatory community risk assessment. Glob. Environ. Change 18, 165–179 (2008).
Kiem, A. S. & Austin, E. K. Disconnect between science and end-users as a barrier to climate change adaptation. Clim. Res. 58, 29–41 (2013).
Kirchhoff, C. J., Lemos, M. C. & Dessai, S. Actionable knowledge for environmental decision making: broadening the usability of climate science. Annu. Rev. Environ. Res. 38, 393–414 (2013).
Pielke Jr, R. A. The honest broker: making sense of science in policy and politics (Cambridge Univ. Press, 2007).
Vogel, C., Moser, S. C., Kasperson, R. E. & Dabelko, G. D. Linking vulnerability, adaptation, and resilience science to practice: pathways, players, and partnerships. Glob. Environ. Change 17, 349–364 (2007).
Dilling, L. & Lemos, M. C. Creating usable science: opportunities and constraints for climate knowledge use and their implications for science policy. Glob. Environ. Change 21, 680–689 (2011).
Warren, R. F. et al. Advancing national climate change risk assessment to deliver national adaptation plans. Philos. T. R. Soc. A 376, 20170295 (2018).
Carabine, E. et al. Value chain analysis for resilience in drylands (VC-ARID): identification of adaptation options in key sectors. VC-ARID synthesis report (PRISE, 2018).
Kelly, P. M. & Adger, W. N. Theory and practice in assessing vulnerability to climate change and facilitating adaptation. Clim. Change 47, 325–352 (2000).
Moser, S. C. & Ekstrom, J. A. A framework to diagnose barriers to climate change adaptation. Proc. Natl Acad. Sci. USA 107, 22026–2031 (2010).
de Coninck, H. et al. In IPCC Special Report on Global Warming of 1.5 °C (eds Masson-Delmotte, V. et al.) Ch 4 (IPCC, Cambridge Univ. Press, 2018).
Hinkel, J. & Bisaro, A. Methodological choices in solution-oriented adaptation research: a diagnostic framework. Reg. Environ. Chang. 16, 7–20 (2016).
Duerden, F. Translating climate change impacts at the community level. Arctic 57, 204–212 (2004).
Tucker, J. et al. Social vulnerability in three high-poverty climate change hot spots: what does the climate change literature tell us? Reg. Environ. Change 15, 783–800 (2014).
Few, R. & Tebboth, M. G. Recognising the dynamics that surround drought impacts. J. Arid Environ. 157, 113–115 (2018).
IPCC Climate change 2014: Impacts, Adaptation, and Vulnerability (eds Field, C. B. et al.) (Cambridge Univ. Press, 2014).
Parry, M. & Carter, T. Climate impact and adaptation assessment: a guide to the IPCC approach (Earthscan Publications, 1998).
Willows, R., Reynard, N., Meadowcroft, I. & Connell, R. Climate adaptation: risk, uncertainty and decision-making. UKCIP Technical Report (UK Climate Impacts Programme, 2003).
Klein, R. J. et al. Portfolio screening to support the mainstreaming of adaptation to climate change into development assistance. Clim. Change 84, 23–44 (2007).
Hammill, A. & Tanner, T. Harmonising climate risk management: adaptation screening and assessment tools for development co-operation Working Paper No. 36 (OECD Publishing, 2011).
Adapting with ambition: National Climate Adaptation Strategy, 2016 (Dutch Ministry of Infrastructure and the Environment, 2016).
Melillo, J. M. Climate change impacts in the United States: Highlights (National Climate Assessment, US Global Change Research Program, 2014).
Targeting Climate Change Hotspots (CARIAA, accessed 23 February 2019); https://www.cariaa.net/home-0
De Souza, K. et al. Vulnerability to climate change in three hot spots in Africa and Asia: key issues for policy-relevant adaptation and resilience-building research. Reg. Environ. Change 15, 747–753 (2015).
Zaroug, M., New, M. & Lennard, C. Climate change in African countries at 1.5 and 2.0 degrees: variation by geography, aridity and continentality Working Paper 4 (ASSAR, 2019).
Pepin, N. et al. Elevation-dependent warming in mountain regions of the world. Nat. Clim. Change 5, 424–430 (2015).
Kraaijenbrink, P. D. A., Bierkens, M. F. P., Lutz, A. F. & Immerzeel, W. W. Impact of a global temperature rise of 1.5 degrees Celsius on Asia’s glaciers. Nature 549, 257–260 (2017).
Seto, K. C. Exploring the dynamics of migration to mega-delta cities in Asia and Africa: contemporary drivers and future scenarios. Glob. Environ. Change 21, 94–107 (2011).
Tessler, Z. D. et al. Profiling risk and sustainability in coastal deltas of the world. Science 349, 638–643 (2015).
Nicholls, R. J. et al. Integrated assessment of social and environmental sustainability dynamics in the Ganges-Brahmaputra-Meghna delta, Bangladesh. Est. Coast. Shelf Sci. 183, 370–381 (2016).
Rogers, S. & Xue, T. Resettlement and climate change vulnerability: evidence from rural China. Glob. Environ. Change 35, 62–69 (2015).
Wilmsen, B. & Webber, M. What can we learn from the practice of development-forced displacement and resettlement for organised resettlements in response to climate change? Geoforum 58, 76–85 (2015).
Mortreux, C. et al. Political economy of planned relocation: a model of action and inaction in government responses. Glob. Environ. Change 50, 123–132 (2018).
Duncan, J., Tompkins, E., Dash, J. & Tripathy, B. Resilience to hazards: rice farmers in the Mahanadi Delta, India. Ecol. Soc. 22, 3 (2017).
Crick, F., Eskander, S., Fankhauser, S. & Diop, M. How do African SMEs respond to climate risks? evidence from Kenya and Senegal. World Dev. 108, 157–168 (2018).
De Sherbinin, A. et al. Migration and risk: net migration in marginal ecosystems and hazardous areas. Environ. Res. Lett. 7, 045602 (2012).
Adger, W. N. et al. Role of perceived environmental risks and insecurity in migration decisions and intentions. One Earth (in press).
Dun, O. Migration and displacement triggered by floods in the Mekong Delta. Int. Migr. 49, 200–223 (2011).
Renaud, F. G., Dun, O., Warner, K. & Bogardi, J. A decision framework for environmentally induced migration. Int. Migr. 49, 5–29 (2011).
Koubi, V., Spilker, G., Schaffer, L. & Böhmelt, T. The role of environmental perceptions in migration decision-making: evidence from both migrants and non-migrants in five developing countries. Pop. Environ. 38, 134–163 (2016).
Tebboth, M., Singh, C., Spear, D., Mensah, A. & Ansah, P. The role of mobility in changing livelihood trajectories: implications for vulnerability and adaptation in semi-arid regions. Geoforum (in press).
Sietz, D., Lüdeke, M. K. B. & Walther, C. Categorisation of typical vulnerability patterns in global drylands. Glob. Environ. Change 21, 431–440 (2011).
Reid, R. S., Fernández-Giménez, M. E. & Galvin, K. A. Dynamics and resilience of rangelands and pastoral peoples around the globe. Annu. Rev. Environ. Res. 39, 217–242 (2014).
Shackleton, S., Ziervogel, G., Sallu, S., Gill, T. & Tschakert, P. Why is socially-just climate change adaptation in sub-Saharan Africa so challenging? a review of barriers identified from empirical cases. WIREs Clim. Change 6, 321–344 (2015).
Porter, G., Hampshire, K., Mashiri, M., Dube, S. & Maponya, G. ‘Youthscapes’ and escapes in rural Africa: education, mobility and livelihood trajectories for young people in Eastern Cape, South. Afr. J. Int. Dev. 22, 1090–1101 (2010).
Langevang, T. ‘We are managing!’ uncertain paths to respectable adulthoods in Accra, Ghana. Geoforum 39, 2039–2047 (2008).
Ansell, N., Hajdu, F., Blerk, L. & Robson, E. Reconceptualising temporality in young lives: exploring young people’s current and future livelihoods in Aids-affected southern. Afr. T. I. Brit. Geogr. 39, 387–401 (2014).
Singh, C. Using life histories to understand temporal vulnerability to climate change in highly dynamic contexts (Sage Publications, 2018).
Singh, C., Tebboth, M., Spear, D., Ansah, P. & Mensah, A. Opening up the methodological toolkit on climate change vulnerability and adaptation research: reflections from using life history approaches. Reg. Environ. Change (in press).
Ford, J. D. et al. Case study and analogue methodologies in climate change vulnerability research. WIREs Clim. Change 1, 374–392 (2010).
Ayeb-Karlsson, S., Van Der Geest, K., Ahmed, I., Huq, S. & Warner, K. A people‐centred perspective on climate change, environmental stress, and livelihood resilience in Bangladesh. Sustain. Sci. 11, 679–694 (2016).
Black, R., Bennett, S. R. G., Thomas, S. M. & Beddington, J. R. Migration as adaptation. Nature 478, 447–449 (2011).
Tacoli, C. Not only climate change: mobility, vulnerability and socio-economic transformations in environmentally fragile areas of Bolivia, Senegal and Tanzania Human Settlements Working Paper Series (Overseas Development Institute, 2011).
Seo, S. N. & Mendelsohn, R. An analysis of crop choice: adapting to climate change in South American farms. Ecol. Econ. 67, 109–116 (2008).
Di Falco, S., Veronesi, M. & Yesuf, M. Does adaptation to climate change provide food security? a micro-perspective from Ethiopia. Am. J. Agric. Econ. 93, 829–846 (2011).
Wedawatta, G. S. D., Ingirige, M. J. B. & Amaratunga, R. D. G. Building up resilience of construction sector SMEs and their supply chains to extreme weather events. Int. J. Strat. Prop. Manag. 14, 362–375 (2010).
Annual review small business activities (International Finance Corporation, 2004).
Grothmann, T. & Patt, A. Adaptive capacity and human cognition: the process of individual adaptation to climate change. Glob. Environ. Change 15, 199–213 (2005).
Hassani-Mahmooei, B. & Parris, B. W. Climate change and internal migration patterns in Bangladesh: an agent-based model. Environ. Dev. Econ. 17, 763–780 (2012).
Berkhout, F. Adaptation to climate change by organizations. WIREs Clim. Change 3, 91–106 (2012).
Reid, H. & Huq, S. Community-based adaptation: a vital approach to the threat climate change poses to the poor Briefing Paper (IIED, 2007).
Chambers, R. The origins and practice of participatory rural appraisal. World Dev. 22, 953–969 (1994).
Maharjan, A. et al. Migration in the lives of environmentally vulnerable populations in four river basins of the Hindu Kush Himalayan Region Working Paper 20 (HI-AWARE, 2018).
Regmi, B. R., Shrestha, K., Sapkota, R. & Pathak, K. What constitutes successful adaptation measures? reflections from the national and local contexts of Nepal Working Paper 17 (HI-AWARE, 2018).
Pathak, S., Pant, L. & Maharjan A. Depopulation trends, patterns and effects in Uttarakhand, India: A gateway to Kailash Mansarovar Working Paper No. 22 (ICIMOD, 2017).
Gannon, K. E. et al. Business experience of floods and drought-related water and electricity supply disruption in three cities in sub-Saharan Africa during the 2015/2016 El Niño. Glob. Sustain. 1, e14 (2018).
Sugden, F. et al. Agrarian stress and climate change in the Eastern Gangetic Plains: gendered vulnerability in a stratified social formation. Glob. Environ. Chang. 29, 258–269 (2014).
Piguet, E. Linkingclimate change, environmental degradation, and migration: a methodological overview. WIREs Clim. Change 1, 517–524 (2010).
Cooke, B. & Kothari, U. (eds) Participation: The new tyranny (Zed Books, 2001).
Few, R., Brown, K. & Tompkins, E. L. Public participation and climate change adaptation: avoiding the illusion of inclusion. Clim. Pol. 7, 46–59 (2007).
Tschakert, P., Ellis, N. R., Anderson, C., Kelly, A. & Obeng, J. One thousand ways to experience loss: A systematic analysis of climate-related intangible harm from around the world. Glob. Environ. Chang. 55, 58–72 (2019).
Leiter, T. & Pringle, P. In Adaptation metrics: Perspectives on comparing, measuring and aggregating adaptation results (eds Christiansen, L., Martinez, G. & Naswa, P.) 29–48 (UNEP DTU Partnership, 2018).
Berrang-Ford, L., Pearce, T. & Ford, J. D. Systematic review approaches for climate change adaptation research. Reg. Environ. Change 15, 755–769 (2015).
Delaney, A., Chesterman, S., Crane, T. A., Tamás, P. A. & Ericksen, P. A systematic review of local vulnerability to climate change: in search of transparency, coherence and compatability Working Paper No. 97 (CCAFS, 2014).
Kniveton, D., Smith, C. & Wood, S. Agent-based model simulations of future changes in migration flows for Burkina Faso. Glob. Environ. Change 21, 34–40 (2011).
Hassani-Mahmooei, B. & Parris, B. W. Climate change and internal migration patterns in Bangladesh: an agent-based model. Environ. Dev. Econ. 17, 763–780 (2012).
Lobell, D. B. et al. Prioritizing climate change adaptation needs for food security in 2030. Science 319, 607–610 (2008).
Hazeleger, W. et al. Tales of future weather. Nat. Clim. Change 5, 107–113 (2015).
Dessai, S. et al. Building narratives to characterise uncertainty in regional climate change through expert elicitation. Environ. Res. Lett. 13, 074005 (2018).
McClure, A. Climate narratives What have we tried? what have we learned? What does this mean for us going forward? Briefing Note (FRACTAL, 2018); www.fractal.org.za/wp-content/uploads/2018/09/Learning_climate-narratives-briefing-note.pdf
New, M., Bouwer, R. & Nkemelang, T. Regional changes in climate and its impacts in semi-Arid countries in Africa Working Paper 5 (ASSAR, 2019).
Vincent, K. & Colenbrander, W. Developing and applying a five-step process for mainstreaming climate change into local development plans: a case study from Zambia. Clim. Risk Manag. 21, 26–38 (2018).
Miller, C. Hybrid management: boundary organizations, science policy, and environmental governance in the climate regime. Sci. Technol. Hum. Val. 26, 478–500 (2001).
Morchain, D. et al. Building transformative capacity in southern Africa: surfacing knowledge through participatory vulnerability and risk assessments. Action Res. 17, 19–41 (2019).
Totin, E. et al. Can scenario planning catalyse transformational change? evaluating a climate change policy case study in Mali. Futures 96, 44–56 (2018).
McDermott, T. K. J. & Surminski, S. How normative interpretations of climate risk assessment affect local decision-making: an exploratory study at the city scale in Cork, Ireland. Philos. T. R. Soc. A 376, 20170300 (2018).
Goodwin, P., Brown, S., Haigh, I. D., Nicholls, R. J. & Matter, J. M. Adjusting mitigation pathways to stabilize climate at 1.5 and 2.0 °C rise in global temperatures to year 2300. Earth’s. Future 6, 601–615 (2018).
Brown, S. et al. Quantifying land and people exposed to sea‐level rise with no mitigation and 1.5 °C and 2.0 °C rise in global temperatures to year 2300. Earth’s. Future 6, 583–600 (2018).
Szabo, S. et al. Soil salinity, household wealth and food insecurity in tropical deltas: evidence from south-west coast of Bangladesh. Sustain. Sci. 11, 411–421 (2016).
Johnson, F. A., Hutton, C. W., Hornby, D., Lázár, A. N. & Mukhopadhyay, A. Is shrimp farming a successful adaptation to salinity intrusion? a geospatial associative analysis of poverty in the populous Ganges-Brahmaputra-Meghna Delta of Bangladesh. Sustain. Sci. 11, 423–439 (2016).
Al Nahian, M. et al. Drinking water salinity associated health crisis in coastal Bangladesh. Elem. Sci. Anth. 6, 2–16 (2018).
Lutz, A. F. et al. South Asian river basins in a 1.5 °C warmer world. Reg. Environ. Change 19, 833 (2019).
Brown, S. et al. What are the implications of sea-level rise for a 1.5, 2 and 3 °C rise in global mean temperatures in the Ganges-Brahmaputra-Meghna and other vulnerable deltas? Reg. Environ. Change 18, 1829–1842 (2018).
Nicholls, R. J. et al. (eds) Ecosystem service for well-being in deltas: Integrated assessment for policy analysis (Palgrave, 2018).
Acknowledgements
This work is associated to CARIAA, with financial support from the UK Government’s Department for International Development, and the International Development Research Centre in Ottawa, Canada. The views expressed in this work are those of the creators and do not necessarily represent those of the UK Government’s Department for International Development, the International Development Research Centre, Canada, or its Board of Governors. D.C. and F.C. acknowledge financial support from the Grantham Foundation for the Protection of the Environment, and the UK Economic and Social Research Council (ESRC) through the Centre for Climate Change Economics and Policy. W.N.A. and R.D.C. acknowledge financial support from the UK Economic and Social Research Council through grant no. ES/R002371/1.
Author information
Authors and Affiliations
Contributions
D.C. and R.J.N. conceived the paper and outlined the first draft; D.C led subsequent drafts; S.B., M.T., B.A., C.S., R.D.C., W.N.A., F.C., A.L. and M.Z. contributed case study examples. All authors commented on subsequent drafts and revisions.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Peer review information: Nature Climate Change thanks Sonja Ayeb-Karlsson and other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Conway, D., Nicholls, R.J., Brown, S. et al. The need for bottom-up assessments of climate risks and adaptation in climate-sensitive regions. Nat. Clim. Chang. 9, 503–511 (2019). https://doi.org/10.1038/s41558-019-0502-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41558-019-0502-0
This article is cited by
-
A systematic review of current progress in community based vulnerability assessments
Regional Environmental Change (2024)
-
Habitability of low-lying socio-ecological systems under a changing climate
Climatic Change (2024)
-
How to reduce Africa’s undue exposure to climate risks
Nature (2023)
-
Empowering citizen-led adaptation to systemic climate change risks
Nature Climate Change (2023)
-
Projected decrease in trail access in the Arctic
Communications Earth & Environment (2023)