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The impact and response of vegetatio...

Buermann, Wolfgang.

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The impact and response of vegetation to climate at interannual timescales.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The impact and response of vegetation to climate at interannual timescales./
Author:	Buermann, Wolfgang.
Description:	144 p.
Notes:	Major Professor: Ranga B. Myneni.
Contained By:	Dissertation Abstracts International63-02B.
Subject:	Biogeochemistry. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3043279
ISBN:	0493570403

The impact and response of vegetation to climate at interannual timescales.
Buermann, Wolfgang.

The impact and response of vegetation to climate at interannual timescales. - 144 p.

Major Professor: Ranga B. Myneni.

Thesis (Ph.D.)--Boston University, 2002.

The one-sided area of all green leaves on our planet is about 1.2 to 1.6 times the land surface area, depending on the time of the year. The impact of vegetation on near-surface climate over land is therefore significant. Equally important is the response of vegetation to that climate. I assess the interannual components of these using satellite-based estimates of vegetation greenness, statistical methods and climate models.

ISBN: 0493570403Subjects--Topical Terms:

545717
Biogeochemistry.

The impact and response of vegetation to climate at interannual timescales.
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005 20110426
008 110426s2002 eng d
020 $a 0493570403
035 $a (UnM)AAI3043279
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040 $a UnM $c UnM
100 1 $a Buermann, Wolfgang. $3 1251710
245 1 0 $a The impact and response of vegetation to climate at interannual timescales.
300 $a 144 p.
500 $a Major Professor: Ranga B. Myneni.
500 $a Source: Dissertation Abstracts International, Volume: 63-02, Section: B, page: 0712.
502 $a Thesis (Ph.D.)--Boston University, 2002.
520 $a The one-sided area of all green leaves on our planet is about 1.2 to 1.6 times the land surface area, depending on the time of the year. The impact of vegetation on near-surface climate over land is therefore significant. Equally important is the response of vegetation to that climate. I assess the interannual components of these using satellite-based estimates of vegetation greenness, statistical methods and climate models.
520 $a A recently developed multiyear leaf area index (LAI) data set based on satellite imagery was used to address how interannual variations in vegetation activity impact near-surface climate variability. Analyses of these data indicate that they include reasonable magnitudes, seasonality and meaningful interannual variations.
520 $a Minimum and maximum LAI values from the 10-year record (1981–91) were used as input to climate simulations. Analysis of the differences in the resulting near-surface climate indicates that the dominant impact of interannual LAI variations is modification of the partitioning of the turbulent fluxes and associated evapotranspiration. The change in annual near-surface air temperature due to LAI variations averaged about 0.3°C, which is significant compared to the 0.8°C increase observed during the 20th century.
520 $a Analysis of nearly 20 years of satellite-measured vegetation greenness, near-surface and upper-air climate data show the existence of coupled spatio-temporal patterns between spring temperature and spring vegetation activity that are linked to teleconnections associated with the El Niño Southern Oscillation and the Arctic Oscillation. Both phenomena have displayed unusual behavior in the past 20 years. The results suggest that these' anomalous circulation patterns were more beneficial for Eurasian vegetation as compared to North America. Possibly this explains why satellite measurements over Eurasia show persistent increases in vegetation greenness since the early 1980s.
520 $a One conclusion of this research is that multiyear global data sets of LAI are useful for studies of interannual climate variability and the complex interaction between vegetation and climate. In the future, more realistic climate simulations can be expected through their inclusion as dynamical boundary forcing.
590 $a School code: 0017.
650 4 $a Biogeochemistry. $3 545717
650 4 $a Physical Geography. $3 893400
650 4 $a Remote Sensing. $3 1018559
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690 $a 0425
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710 2 0 $a Boston University. $3 1017454
773 0 $t Dissertation Abstracts International $g 63-02B.
790 $a 0017
790 1 0 $a Myneni, Ranga B., $e advisor
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3043279