-
grated water management: agency, awareness raising and
education, type of governance and cooperation structures,
information management and—exchange, policy develop-
ment and—implementation, risk management, and finances
and cost recovery. This comparative analysis has an
explorative character intended to identify general patterns
in adaptive and integrated water management and to
determine its
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
• Methodology
• Key findings
• Conclusions
2
Forestry in Finland
1. Land area distribution 2. Species distribution
Total Forestry land 26.3 mill. ha
3. Growing stocks, increment and drain 4. Site type distribution
Source: Finnish Forest Research Institute, 2008
3
Forest management
Final felling
Timber
Energy biomass
Thinning
Timber
Pre-commercial or
energy biomass thinning
Regeneration Regeneration
4
/media/ces/Alam_Ashraful_CES_2010.pdf
dioxide (CO2) is the most important anthropogenic GHG.
Its annual emissions have grown between 1970 and 2004 by about
80%, from 21 to 38 gigatonnes (Gt), and represented 77% of total
anthropogenic GHG emissions in 2004 (Figure 2.1). The rate of
growth of CO2-eq emissions was much higher during the recent
10-year period of 1995-2004 (0.92 GtCO2-eq per year) than during
the previous period of 1970
/media/loftslag/IPPC-2007-ar4_syr.pdf
).
A successor. We need to find ways to
identify nonstationary probabilistic models
of relevant environmental variables and to
use those models to optimize water systems.
The challenge is daunting. Patterns of
change are complex; uncertainties are large;
and the knowledge base changes rapidly.
Under the rational planning framework
advanced by the Harvard Water Program
(21, 22), the assumption
/media/loftslag/Milly_etal-2008-Stationarity-dead-Science.pdf
100
15 17 19 21 23 25
Mean annual peak runoff (mm/day)
P
e
r
c
e
n
t
a
g
e
b
e
l
o
w
g
i
v
e
n
v
a
l
u
e
g39g72g79g87g68g3g70g75g68g81g74g72g3
g40g80g83g76g85g76g70g68g79g3g68g71g77g88g86g87g80g72g81g87
Percentage change in 200-year flood
Uncertainty – Relative magnitude of
sampled s urces
N = 115
GCM/RCM = 50
EA/DC = 38
HBV = 27
• Differences in GCM/RCM
tend to be more significant
in inland
/media/ces/Lawrence_Deborah_CES_2010.pdf
for scenario runs compared with the period 1961–
1990 (shown in blue) and the more recent period 2000–2009 (shown in red) for Sandá í
Þistilfirði (vhm 26).. ........................................................................................................... 21
Figure 7. Mean discharge seasonality for scenario runs compared with the period 1961–
1990 (shown in blue) and the more recent
/media/ces/2010_016.pdf