Iain Brown

Dr. Iain Brown


Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 April 2018 in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Verified
Journal Article
Open access
WAW. Neil Adger
W. Neil Adger
IBIain Brown
Iain Brown
SSSwenja Surminski
Swenja Surminski
Climate change risk assessment involves formal analysis of the consequences, likelihoods and responses to the impacts of climate change and the options for addressing these under societal constraints. Conventional approaches to risk assessment are challenged by the significant temporal and spatial dynamics of climate change; by the amplification of risks through societal preferences and values; and through the interaction of multiple risk factors. This paper introduces the theme issue by reviewing the current practice and frontiers of climate change risk assessment, with specific emphasis on the development of adaptation policy that aims to manage those risks. These frontiers include integrated assessments, dealing with climate risks across borders and scales, addressing systemic risks, and innovative co-production methods to prioritize solutions to climate challenges with decision-makers. By reviewing recent developments in the use of large-scale risk assessment for adaptation policy-making, we suggest a forward-looking research agenda to meet ongoing strategic policy requirements in local, national and international contexts. This article is part of the theme issue ‘Advances in risk assessment for climate change adaptation policy’.

5 March 2014 in Hydrology Research
Verified
Journal Article
Closed access
PDF file
OIOana Iacob
Oana Iacob
JRJohn Rowan
John Rowan
IBIain Brown
Iain Brown
CEChris Ellis
Chris Ellis
Climate change is projected to alter river flows and the magnitude/frequency characteristics of floods and droughts. Ecosystem-based adaptation highlights the interdependence of human and natural systems, and the potential to buffer the impacts of climate change by maintaining functioning ecosystems that continue to provide multiple societal benefits. Natural flood management (NFM), emphasising the restoration of innate hydrological pathways, provides important regulating services in relation to both runoff rates and water quality and is heralded as a potentially important climate change adaptation strategy. This paper draws together 25 NFM schemes, providing a meta-analysis of hydrological performance along with a wider consideration of their net (dis) benefits. Increasing woodland coverage, whilst positively linked to peak flow reduction (more pronounced for low magnitude events), biodiversity and carbon storage, can adversely impact other provisioning service – especially food production. Similarly, reversing historical land drainage operations appears to have mixed impacts on flood alleviation, carbon sequestration and water quality depending on landscape setting and local catchment characteristics. Wetlands and floodplain restoration strategies typically have fewer disbenefits and provide improvements for regulating and supporting services. It is concluded that future NFM proposals should be framed as ecosystem-based assessments, with trade-offs considered on a case-by-case basis.

1 October 2019 in International Journal of Disaster Risk Reduction
Verified
Journal Article
Open access
CWChen Wang
Chen Wang
Jingming HouJingming Hou
Jingming Hou
DMDavid Miller
David Miller
IBIain Brown
Iain Brown
YJYang Jiang
Yang Jiang

1 August 2012 in ISPRS Journal of Photogrammetry and Remote Sensing
Verified
Journal Article
Closed access
LPLaura Poggio
Laura Poggio
AGAlessandro Gimona
Alessandro Gimona
IBIain Brown
Iain Brown

1 December 2009 in Land Use Policy
Verified
Journal Article
Closed access
MRM.S. Reed
M.S. Reed
ABA. Bonn
A. Bonn
WSW. Slee
W. Slee
NBN. Beharry-Borg
N. Beharry-Borg
JBJ. Birch
J. Birch
FWF. Worrall
F. Worrall

1 December 2010 in Environmental Modelling & Software
Verified
Journal Article
Closed access
MCM.S. Castellazzi
M.S. Castellazzi
JMJ. Matthews
J. Matthews
FAF. Angevin
F. Angevin
CSC. Sausse
C. Sausse
GWG.A. Wood
G.A. Wood
JPJ.N. Perry
J.N. Perry