) and changing climate (CC:CC)
1. Current climate (CU)
- varying thinning regimes
(0%, 15%, 30%,45%)
2. Changing climate (CC)
- varying thinning regimes
(0%, 15%, 30%,45%)
3. Current (CU) &
changing climate (CC)
- current thinning regime
4. Current (CU) &
changing climate (CC)
- changed thinning regimes
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/media/ces/CES_BioFuels_Flyer_new.pdf
of radiation are
added to a classic degree-day model. For infiltration, a methodology of Peschke, based on
the approach of Green and Ampt, was used. To calculate the fluxes within the unsaturated
soil zone, the Richards equation was used. The groundwater table was modelled in both the
unsaturated zone module and the groundwater module. The coupling between both modules
was done by a net/media/ces/2010_017.pdf
Journal of Environmental Management 88
Heid
, Øste
d
e
A broad range of tools are available for integrated water resource management (IWRM). In the EU research project NeWater, a
Human dependence on water leaves us vulnerable to
climate change, flood and drought hazards, and poverty
dynamic element of vulnerable groups and their relation-
ship to water resources, and to represent the decisions
/media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf
ORIGINAL ARTICLE
The role of uncertainty in climate change adaptation
strategies—A Danish water management example
J. C. Refsgaard & K. Arnbjerg-Nielsen & M. Drews & K. Halsnæs & E. Jeppesen &
H. Madsen & A. Markandya & J. E. Olesen & J. R. Porter & J. H. Christensen
Received: 10 November 2011 /Accepted: 4 February 2012
# The Author(s) 2012. This article is published with open access
/media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf
/ administrative aggregation level.
Table 1 – Tentative identification of relevant (predominant) operating levels.
Local Regional National* International
public privat
e
public privat
e
public privat
e
public privat
e
Infrastructure
designers x x x XX X
Infrastructure
builders x x XX X
Infrastructure
operators x x x X X
Transport service
operators (freight;
passengers
/media/vedurstofan/NONAM_1st_workshop_summary_v3.pdf
EA Analyse A/S and Optensys
Energianalys will forecast energy system variables, while SINTEF Energy Research will make
assumptions for the energy system in different cases, include new inputs in the EMPS model and
carry out simulations.
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/media/ces/esa_flyer_new.pdf
Grin’s work on this article was part of the programme of the
Dutch Knowledge network on System Innovations (KSI).
P. Huntjens (&) C. Pahl-Wostl
Institute for Environmental Systems Research,
University of Osnabruck, Barbarastraße 12, Geb. 66,
49069 Osnabruck, Germany
e-mail: patrickhuntjens@yahoo.com
J. Grin
Amsterdam School for Social Science Research,
University of Amsterdam, Amsterdam
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
in Finland
Noora Veijalainen a,*, Eliisa Lotsari b, Petteri Alho b, Bertel Vehviläinen a, Jukka Käyhkö b
a Freshwater Centre, Finnish Environment Institute, Mechelininkatu 34a, P.O. Box 140, FI-00251, Helsinki, Finland
b Department of Geography, FI-20014 University of Turku, Turku, Finland
a r t i c l e i n f o
Article history:
Received 7 January 2010
Received in revised form 13 June 2010
Accepted
/media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf
FOREST BIOMASS FOR ENERGY PRODUCTION –
POTENTIALS, MANAGEMENT AND RISKS UNDER CLIMATE CHANGE
Ashraful Alam, Antti Kilpeläinen, Seppo Kellomäki
School of Forest Sciences,
University of Eastern Finland, Joensuu
F t Cli t d R bl E I t Ri k d Ad t tiu ure Cl ma e an enewa e nergy – mpac s, s s an ap a on
Oslo, Norway
2 June, 2010
Contents
• Forestry in Finland
• Challenges
• Objectives
/media/ces/Alam_Ashraful_CES_2010.pdf