3HVTÀRUEUDV&RORPERYH6SHFLDOLVVXHS
XXV IUFRO World Congress Forest Research and Cooperation for Sustainable Development 314
environment of 10,000 pixels, wherein 50 breeding trials of the same genotypes (i.e. eucalyptus clones) are randomly allocated. We used 100 non-related genotypes expressing a low heritability quantitative trait that mimics yield. GIS-GE uses spatial interpolation to environmental data, referring either to FOLPDWLFDQGODQGVFDSHYDULDEOHVWRGH¿QH(QYLURQPHQWDO,QGH[HV(,E\WKHLUUHODWLRQVKLSWRWKHSKHQRW\SLFGDWDWRWDOLQJPLOOLRQRIHQYLURW\SLFPDUNHUV HQYLURW\SHVSL[HOV)RUWKLVHQYLURPHZHXVHGDGYDQFHGJHQHWLFPRGHOLQJWRHVWLPDWHWKH(,H൵HFWVDFURVVWKHZKROHVHWRISL[HOV:HVKRZ WKDW*,6*(SUHVHQWVDGYDQWDJHVLQEUHHGLQJLQFOXGLQJPDWFKLQJRIJHQRW\SHVWRWKHLUPRVWDSSURSULDWHVLWHVGH¿QLWLRQRIEUHHGLQJDUHDVRIKLJKHVWJHQHWLF correlation to genotypes; and indication of the locations that maximize the capture of lost phenotypic heritability in trials.
)XOOURWDWLRQFDUERQZDWHUDQGHQHUJ\ÀX[HVLQDWURSLFDOHXFDO\SWSODQWDWLRQ
<DQQ1RXYHOORQ
1-RVp/XL]6WDSH
*XHUULFOH0DLUH
-HDQ0DUF%RQQHIRQG
5-RDQQqV*XLOOHPRW
0DWKLDV&KULVWLQD
1-HDQ3LHUUH%RXLOOHW
2WiYLR
&DPSRH
-HDQ3DXO/DFODX
1
&LUDG805(FR 6ROV0RQWSHOOLHU)UDQFH
6X]DQR)RUHVWU\7HFKQRORJ\,WDSHWLQLQJD%UDVLO
8QLYHUVLGDGH(VWDGXDO3DXOLVWD³-~OLRGH0HVTXLWD)LOKR´
%RWXFDWX%UDVLO
48QLYHUVLGDGH(VWDGXDOGH&DPSLQDV1,3(&DPSLQDV%UDVLO
5,QVWLWXW1DWLRQDOGH\DQQQRXYHOORQ#FLUDGIUVWDSH#VX]DQRFRPEU JXHUULFOHBPDLUH#FLUDGIUERQQHIRQ#ERUGHDX[LQUDIUMRDQQHVJXLOOHPRW#FLUDGIUPDWKLDVFKULVWLQD#LQUDIUMHDQSLHUUHERXLOOHW#FLUDGIU RWDYLRFDPSRH#XIVFEUMHDQSDXOODFODX#FLUDGIU
(XFDO\SWXV plantations in Brazil are among the most productive forests of the world, reaching mean annual increments of about 50 m
3ha
-1yr
-1over short (6 - 7 yrs) rotations. We continuously monitored water vapor, CO
2DQGHQHUJ\ÀX[WKURXJKWKHHGG\FRYDULDQFHPHWKRGRYHUD\HDUSHULRGLQVRXWKHDVWHUQ%UD]LO 7UHHJURZWK/HDI$UHD,QGH[/$,ZDWHUWDEOHGHSWKDQGVRLOZDWHUFRQWHQW6:&GRZQWRPGHSWKZHUHDOVRPRQLWRUHG5RRWLQJGHSWKDQGYHUWLFDO¿QH root distribution were assessed at various ages. Mean annual evapotranspiration (AET; 1383 mm yr
-1) represented 90% of the annual precipitations (P; 1539 mm yr
-1). AET reached maximum values (1598 mm yr
-1) about 2-3 years after planting (a.p) when LAI peaked and when deep rooting (about 15 m deep 2.5 yrs a.p) SURYLGHGDFFHVVWRWKHODUJHDPRXQWRIZDWHUVWRUHGLQGHHSVRLOOD\HUVGXULQJWKH¿UVWPRQWKVDIWHUFOHDUFXWWLQJDQGUHSODQWLQJ0RVWRIWKHDYDLODEOH energy (3852 MJ yr
-1ZDVSDUWLWLRQHGWRWKHHYDSRUDWLRQSURFHVVODWHQWKHDWÀX[HVZLWKYHU\ORZVHQVLEOHKHDWÀX[HVRYHUWKHURWDWLRQH[FHSWDIWHUKDUYHVWLQJ DQGUHSODQWLQJZKHQ/$,ZDVORZDQGODWHULQWKHURWDWLRQGXULQJGU\HYHQWV'HHSGUDLQDJHDIWHUKDUYHVWRIWKH¿UVWVWDQGDOORZHGWKHZDWHUWDEOHWRULVHIURP WRPRYHUWKH¿UVW\HDUVDIWHUUHSODQWLQJ%RWKPHDVXUHPHQWVRI6:&DQGPRGHOVLPXODWLRQVVKRZHGWKDWGHHSZDWHUVWRUDJHDQGVXEVHTXHQWXSWDNH played a major role in supporting the very high wood production and dampening seasonal droughts.
/LJKWXVHH൶FLHQF\DQGSURGXFWLYLW\RIJHQRW\SHVRIEucalyptus along a 6-year rotation in Brazil
*XHUULFOH0DLUH
-RDQQqV*XLOOHPRW
2WiYLR&DPSRH
-RVp/XL]6WDSH
-HDQ3DXO/DFODX
1<DQQ1RXYHOORQ
11
&,5$'0RQWSHOOLHU)UDQFH
8QLYHUVLGDGH(VWDGXDOGH&DPSLQDV&DPSLQDV%UDVLO
(VFROD6XSHULRUGH$JULFXOWXUD³/XL]GH4XHLUR]´8QLYHUVLGDGHGH 6mR3DXOR3LUDFLFDED%UDVLO
48QLYHUVLGDGH)HGHUDOGH6DQWD&DWDULQD&XULWLEDQRV%UDVLO
58QLYHUVLGDGH(VWDGXDO3DXOLVWD³-~OLRGH0HVTXLWD)LOKR´
%RWXFDWX%UDVLO
6X]DQR3XOSDQG3DSHU6X]DQR%UDVLOJXHUULFOHBPDLUH#FLUDGIUMRDQQHVJXLOOHPRW#FLUDGIURWDYLRFDPSRH#XIVFEUW DSH#VX]DQRFRPEUODFODX#FLUDGIU\DQQQRXYHOORQ#FLUDGIU
)RUHVWVWHPZRRGSURGXFWLYLW\GHSHQGVRQWKHDPRXQWRIDEVRUEHGOLJKWDQGRQWKH/LJKW8VH(൶FLHQF\/8(LHWKHDPRXQWRIVWHPZRRGSURGXFHGSHU amount of absorbed light. Other growth limiting factors than absorbed light are for instance water and nutrients, carbohydrates allocation processes, and management practices. In fertilized eucalyptus plantations in Brazil, a shift in the main factor limiting growth is expected, from light at the beginning of the rotation (not limited by water because soil has been recharged during the interval between rotation) to other factors such as water in the subsequent years.
&KDQJHVRIDOORFDWLRQSDWWHUQVDQGIROLDUWUDLWVDOVRRFFXUDORQJWKHURWDWLRQ7KHVHWUHQGVPD\GL൵HUEHWZHHQJHQRW\SHV7KHVHK\SRWKHVHVZHUHWHVWHGDORQJ a 6-year rotation, with 16 contrasted genotypes planted in 10 randomized repetitions in São Paulo Region, Brazil. Absorbed light was estimated using the MAESTRA 3D model precisely parameterized at tree scale for each plot. Stand growth was computed based on allometric relationships calibrated on regular destructive biomass measurements. Results at stand scale showed that 1) LUE increased with stand age for all genotypes, from 0.15 to 0.70 g
dry_matter/MJ on DYHUDJHOLJKWZDVWKHPDLQOLPLWLQJIDFWRUGXULQJWKH¿UVW\HDURIJURZWK5
2between 0.5 and 0.95). Subsequently, the variability of wood production explained by light was variable among genotypes (R
2RIRQDYHUDJH7KHH൵HFWRIJHQRW\SHRQVWHPZRRGSURGXFWLRQUHPDLQVKLJKDQGVLJQL¿FDQWDORQJ the rotation. These results and their implications for plantation management are discussed.
Unraveling drivers of growth dominance and its impact on stand growth of Eucalyptus plantations across Brazil
$OYDUR$96RDUHV
12WiYLR&DPSRH
5DIDHOD&DUQHLUR
'DYLG,)RUUHVWHU
41