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Expected effects of climate change on

forage production and quality

(Norway, Sweden, Finland

(Norway Sweden Finland, Iceland)



M Höglind

Mats Hö li d

Bioforsk Vest Særheim





Nordic Forage Network

Lillehammer 20-21 April 2009

Outline



• Major constraints to forage production in the Nordic area

• How will the climate change?

• Cocesequences for overwintering

• Consequences for the growing season

• Future yields and forage quality

• Uncertainties, need of research

Major constraints



• Difficult overwintering conditions

season

• Short growing season, low temperatures

• Suitable soils/suitable topography

… but also some advantages!



• Relatively good water availability

• Forage quality

Many different global scenarios

Expected changes – regional scale

Winter temperature Summer temperature

(2071- (1961-

(2071-2100) – (1961-1990) (2071-2100) – (1961-1990)

(2071- (1961-









+ 1-5 °C + 1-4 °C PRUDENCE

Expected changes – regional scale

Winter rainfall (% change) Summer rainfall (% change)

(2071-2100) (1961-1990)

(2071 2100) – (1961 1990) (2071 2100) – (1961 1990)

(2071-2100) (1961-1990)









(-10) – (+30) % (-10) – (+10) % PRUDENCE

Increased variability

Precipitation Temperature







Winter









Summer









PRUDENCE

Regional i

R i l scenarios









”warmer, wetter, wilder”

Local scenarios available for Norway:



• Control 1961-1990

• SRES B2 2071-2100 (B2; optimistisk klimagassutslippscenario)

• SRES A2 2071-2100 (A2: pessimistisk/realistisk? klimagassutslippscenario)

• Is92a 1980-2049 (eldre utslippsscenario med mindre temperaturøkning)





Scenario Experiment Climate Variable Time resolution Period

models

View B2 HADAm3 Temperature, Precipitation (C, mm) Daily 2071-2100



View A2 HADAm3 Temperature, Precipitation (C, mm) Daily 2071-2100



View CONTROL HADAm3 Temperature, Precipitation (C, mm) Daily 1961-1990



View is92a GSDIO ECHAM4/OPYC3 Temperature, Precipitation (C, mm) Daily 1980-2049









SRES = Special Report of Emission Scenarios (IPCC)

http://noserc.met.no/effect/

Down-loadable

Down loadable

local scenarios

Station search for Norway y

Click on any county to get a county map with stations.









View all stations









DNMI

Updated October 19. 2006 Send comments to webmaster

Printerfriendly version

Temperature





,

Sola, SW coast 



20,0



15,0

tur, C









Normal 1961‐1990

10,0

Temperat









B2 2071‐2100

5,0 A2 2071‐2100



0,0

Jan Feb Mar Apr Mai Jun Jul Aug Sep Okt Nov Dec

5,0

‐5,0





3-4 °C warmer in autumn, 2-3 °C other parts of year

Average > 15 C i september!

A in t b !

Temperature



Værnes, central coast



20,0





15,0

ur, C









Normal 1961‐1990

10,0

10 0

Temperatu









B2 2071‐2100

5,0 A2 2071‐2100





0,0

Jan Feb Mar Apr Mai Jun Jul Aug Sep Okt NovDec

‐5,0

Temperature



Løken, S inland, 525  masl.



20,0



15,0

urr, C









10,0 Normal 1961‐1990

Temperatu









5,0 B2 2071‐2100

A2 2071‐2100

0,0

T









Jan FebMarApr Mai Jun Jul Aug Sep OktNovDec

‐5,0



10 0

‐10,0

Precipitation Sola

S l



250



200









Nedbør, mm

150 Normal 1961‐1990

B2 2071‐2100

Absolute values

100

A2 2071‐2100 mm/month

50



0

Jan FebMar Apr Mai Jun Jul Aug Sep OktNovDec









Change

/ th

mm/month

Precipitation Værnes



140

120

100









Nedbør, mm

m

80 Normal 1961‐1990



60 B2 2071‐2100 Absolute values

40 A2 2071‐2100 mm/month

20

0

Jan FebMar Apr Mai Jun Jul Aug Sep OktNovDec









Værnes



40 Change

30

/ th

mm/month

Nedbør, mm









20

Diff B2‐Normal

10

Diff A2 ‐ Normal

0

Jan Feb Mar Apr Mai Jun Jul Aug Sep Okt Nov Dec

‐10



‐20

Precipitation Løken



90

80

70









m

Nedbør, mm

60

Normal 1961‐1990

50

40 B2 2071‐2100 Absolute values

30 A2 2071‐2100 mm/month

20

10

0

Jan FebMar Apr Mai Jun Jul Aug Sep Okt NovDec









Løken



30 Change

20 / th

mm/month

Nedbør, mm









10

Diff B2‐Normal

0

Diff A2 ‐ Normal

Jan Feb Mar Apr Mai Jun Jul Aug Sep Okt Nov Dec

‐10



‐20



‐30

Iceland

Risk of winter injuries in Norwegian

grasslands: evaluation using a climate

index

i d approach h

• Input: scenarios for daily temperature and precipitation

calc late ith own (SnowFrostIce,

• We calculate, with o n model (Sno FrostIce Thorsen et al)

Daily soil surface temperature

Snow depth

Surface ice

S f

• Indices for risk of winter injuries (Thorsen et al, in prep):

Risk for frost injuries: autumn, winter, spring

Risk for ice encasemet injuries

No. of days with freezing/melting

• Aditional calculations

Growing season: start, end, temperature sum

Definitions





• Growth start = first 5 day spell with ground level temperature  5  C

5-day-spell

• Growth end = first 5-day-spell with ground level temperature 0 0 29 2 54 4

1 dm, days

Frost risk* in 4 0,9 16,6 5,2 5,7 3,7

autumn, days

, y

Frost risk** in 1,2 0,2 3,6 2,3 2,1 1,1

winter, days

Frost risk* in 0,7 1,9 0,1 0,9 0 0,3

spring, days



*Days wth ground level min. temp. 96 33 158 123 166 39

1 dm, days

Frost risk in 5,6 4,4 7,2 6,9 1,8 3,3

autumn, days



Frost risk in 0,8 1,1 0,3 0,3 0 1,0

winter, days

Frost risk in 0,1 0,1 0 0 0 0

spring, days



*Days wth ground level min. temp.

7 days 2)



1) Days in winter when soil surface temperature changes from 0 C to –1 or opposite

2) Assumption: horisontal field, or parts of field with poor surface run-off. Normally only parts of

the field will be ice covered. Perennial ryegrass typically tolerate 1-2 weeks of ice encasement

Freezing/melting and ice encasement risk



Blindern Løken Tromsø

Oslo Valdres Troms

Control A2 Control A2 Control A2

1961-1990 2071-2100 1961-1990 2071-2100 1961-1990 2071-2100

Days per 14,7 13,1 11,6 11,5 18,5 16,7

i t ith

winter with

freezing/

melting 1)

Potential 2,7

27 22

2,2 27

2,7 2,1

21 18

1,8 14

1,4

periods with

surface ice >

7 days 2)



1) Days in winter when soil surface temperature changes from 0 C to –1 or opposite

2) Assumption: horisontal field, or parts of field with poor surface run-off. Normally only parts of

the field will be ice covered. Perennial ryegrass typically tolerate 1-2 weeks of ice encasement

Summary risk of winter injury Norway



• Reduced risk for frost injuries during autumn/winter on most of the

6 Norwegian locations

• Reduced risk for frost injuries after growth start in spring, except on

3 coastal locations

• Reduced risk of ice encasement injury on all 6 locations

There will still be large variation between years –

HaCtrl

TempHend15 Sola





Examples SW Norway

HaA2

10

HaB2

MPI

5





0

-4 -2 0 2 4 6

Estimated LT50 Cv Grindstad

10





5

Frost tolerance LT50 in

timothy in mid-winter, C

0

-24 -22 -20 -18 -16 -14

LT50PeriodsTim Sola





20 Days in winter with

Sola 10 risk for frost injury

0

-5 -4 -3 -2 -1 0 1 2 3 4 in timothy

IceDays7 Sola





20



10

Potential periods with

0

Ice encasement > 7 days

0.5 1 1.5 2 2.5 3 3.5

TCDGrowth Sola



20



10



0

2 4 6 8 10 12 14 16

Growing season, start, end and climate



Sola Værnes Bodø

Rogaland Nord-Trønderlag Nordland

Control A2 Control A2 Control A2

1961- 2071-2100 1961- 2071-2100 1961- 2071-2100

1990 1990 1990

Start growing 24 mar

24.mar 31 jan

31.jan 22.apr

22 apr 22.mar

22 mar 4 mai

4.mai 31.mar

31 mar

season

End growing 13.nov 11.des 21.okt 21.nov 18.okt 10.nov

season

No. of days 234 315 182 244 167 226

gr. season

Temp.sum C

Temp sumC 2368 3498 1956 2830 1606 2400

gr. season

Grwing season, start, end and climate



Løken Blindern Tromsø

Valdres Oslo Troms

Control A2 Control A2 Control A2

1961- 2071-2100 1961- 2071-2100 1961- 2071-2100

1990 1990 1990

Start growing 12 mai

12.mai 29 apr

29.apr 22.apr

22 apr 2.apr

2 apr 26 mai

26.mai 22 apr

22.apr

season

End growing 30.sep 25.okt 20.okt 20.nov 26.sep 29.okt

season

No. of days 141 179 181 232 123 190

gr. season

Temp sumC

Temp.sum C 1437 2234 2275 3240 1130 1976

gr. season

Summary growing season Norway



• 1 to 3 months longer growing season

• 800 to 1100 degree-days increased temperature sum

degree days

• This gives room for at least one additional grass cut

Growing season



Sola

20,0

ur, C









15,0

Temperatu









10,0



50

5,0 Normal 96

Normal 1961‐

T









1990

0,0 A2 2071‐2100

p g p

Jan Feb Mar Apr Mai Jun Jul Aug Sep Okt Nov Dec

Length of Vegetation period, T > 5oC



2085



1961-90









~2085A2

Sweden









Efter Fogelfors m fl 2008

1961-90

Vegetationsperiod





Västerbotten

Odlingssäsonger - söder till norr



Jan Feb Mars Apr Maj Juni Juli Aug Sept Okt Nov Dec

höstsådd skörd

Vegetationsperiod

1961-90





Mälardalen



Jan Feb Mars Apr Maj Juni Juli Aug Sept Okt Nov Dec



Vegetationsperiod

1961-90

1961 90

Skåne



Jan Feb Mars Apr Maj Juni Juli Aug Sept Okt Nov Dec

Fogelfors, Stendahl 2006

snö vårbruk skörd höstsådd

1961-90

Vegetationsperiod

Vegetationsperiod

2085

~2085A2



Västerbotten

Odlingssäsonger - söder till norr



Jan Feb Mars Apr

Jan Feb Mars Apr Maj Juni Juli

Maj Juni Juli Aug Sept Okt

Aug Sept Okt Nov Dec

Nov Dec

höstsådd skörd

Vegetationsperiod

Vegetationsperiod

1961-90

~2085A2

Mälardalen

Mälardalen



Jan Feb Mars Apr Maj Juni Juli Aug Sept Okt Nov Dec



Vegetationsperiod

Vegetationsperiod

1961

1961-90

~2085A2 90

Skåne

Skåne



Jan Feb

Jan Feb Mars Apr Maj Juni Juli Aug Sept Okt Nov Dec

vårbruk ? skörd ? höstsådd ? Fogelfors, Stendahl 2006

snö vårbruk skörd höstsådd

Iceland –

present and future temperature sum

Will there be more extreme precipitation?

Example A2 Sola SW Norway

tion







,

2,5

er month > 20 mm precipitat









2,0



1,5

Control 1961‐1990

1,0 A2 2071 2100

A2 2071‐2100



0,5

Days pe









0,0

J F M A M J J A S O N

How much larger grass yields in the future?

Unfortunately, few calculations available



• Iceland: no yield simulations has been carried out yet

• Finland: no yield simulations has been carried out yet (?)

• Sweden: a few preliminary calculations available

• Norway: a few preliminary calculations

Simulations with LINGRA timothy model for

Løken, Valdres mountain region S Norway

Growing Date of harvest DM yield, tonnes/ha

season

1 t cut

1st t 2nd t

2 d cut 3rd t

3 d cut 1+2 t

1 2 cut 3rd t

3 d cut Total

T t l



Control 17/5- 27/6 12/8 - 10 100 - 10 100

1960

1960- 7/10

1990

A2 1/5-2/11 11/6 19/7 27/8 9 800 4 300 14 300

2071-

2100

Soil type: silty sand without irrigation. Normal fertilization. Criteria: 1st cut at

y g g

early silage stage, thereafter 600 degree days between to ensure high feed quality.

g y g q y

Last cut minimum 1 month before end of growing season to ensure hardening



Precipitation was not growth limiting on an average year on this soil type, but

may be so in single years

To reduce uncertainty in the calculations, down-scaled scenarios for air

humidity, wind speed and radiation would be needed

Sweden, Klimat och sårbarhetsutredningen



• Simulations for 5 sites in South and Central Sweden, fertilized grass

• 2-cut system, fixed cutting dates (same cuting dates in control period and

scenario period, i.e. the grass in the scenario period will be more mature at

1st cut compared with the normal period due to earlier growth start)



1st cut 2nd cut

1985

2085





• Results: 27-66% yield increase in total for two cuts









(Eckersten et al 2007)

What do we know about the grass

quality in the future?

Forage maize will, of course, be grown

further and further north

Summary



• There will be more grass growth!

•H l t i t b t how variable th

However, large uncertainty about h i bl the

climate will be in the future and how extreme

get,

events we will get leads to large uncetainties with

respect to overwintering, summer growth and

g

conditions for harvest and grazingg

Thank you for your attention!

Faglige utfordringer, hva må vi vite mer om?



Hvordan vil klimaet endres, spesielt på lokal nivå? Hvor variabelt vil været bli?

Hvordan vil innstråling, vind og luftfuktighet endres på lokal nivå, døgnbasis?

Trenger informasjonen for sikrere beregninger av plantevekst mm.



Utrede avling og avlingssikkerhet i forkjellige scenarier for forskjellige vekster.

g g g j g j g

Her kan en begynne med enklere beregninger for så å gå videre med mer

avansert modellering. Supplerende forsøk der det trengs.



Lage scenarioer ikke bare for klima men også for andre faktorer som vil

påvirke valg av vekster og produksjonssystemer.



Vurdere forskjellige tilpasninger til det endrede klimaet



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