Causes and Consequences of Variation in Conifer Leaf Life-Span

Reich, Peter B.; Koike, Takao; Gower, Stith T.; Schoettle, Anna W.

doi:10.1016/b978-0-08-092593-6.50013-x

Cited by 88 publications

(89 citation statements)

References 66 publications

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“…For exam retained N in the canopy 10 times long was greater for a similar conifer speci than the SSA. We speculate that the gr residence time for conifers in the NSA than in the SSA is related to the greater leaf longevity of conifers in colder climates (Reich et al, 1995).…”

Section: Discussionmentioning

confidence: 99%

Nutrient dynamics of the southern and northern BOREAS boreal forests

Gower¹,

Hunter²,

Campbell³

et al. 2000

Écoscience

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Section: Discussionmentioning

confidence: 99%

Nutrient dynamics of the southern and northern BOREAS boreal forests

Gower¹,

Hunter²,

Campbell³

et al. 2000

Écoscience

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“…Sellers [1985] observed that in well watered canopies, vegetation indices are correlated with photosynthetic activity. Further, in deciduous canopies, where leaf life span is less than 1 year, photosynthetic capacity is highest in newly expanded, high-chlorophyll leaves and much reduced in older, low-chlorophyll leaves approaching abscission [Reich et al, 1995]. Thus greatly different percent canopy cover may be associated with the same photosynthetic potential.…”

Section: Model Developmentmentioning

confidence: 99%

A continental phenology model for monitoring vegetation responses to interannual climatic variability

White¹,

Thornton²,

Running³

1997

Global Biogeochemical Cycles

1,045

873

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Abstract. Regional phenology is important in ecosystem simulation models and coupled biosphere/atmosphere models. In the continental United States, the timing of the onset of greenness in the spring (leaf expansion, grass green-up) and offset of greenness in the fall (leaf abscission, cessation of height growth, grass brown-off) are strongly influenced by meteorological and climatological conditions. We developed predictive phenology models based on traditional phenology research using commonly available meteorological and climatological data. Predictions were compared with satellite phenology observations at numerous 20 km x 20 km contiguous landcover sites. Onset mean absolute error was 7.2 days in the deciduous broadleaf forest (DBF) biome and 6.1 days in the grassland biome. Offset mean absolute error was 5.3 days in the DBF biorne and 6.3 days in the grassland biome. Maximum expected errors at a 95% probability level ranged from 10 to 14 days. Onset was strongly associated with temperature summations in both grassland and DBF biomes; DBF offset was best predicted with a photoperiod function, while grassland offset required a combination of precipitation and temperature controls.

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“…This reduction in shoot length and needle lifespan in both pines at the damaged site is the result of photosynthetic suppression stemming from environmental stressors such as F and excess Mn and Cl. Needle loss and premature senescence due to air pollutants such as SO 2 , O 3 , NO x , or acid deposition, have been reported in pine, birch and poplar (Reich, 1983;Reich et al, 1995; The toxicity of these pollutants is mainly due to their interference with respiration and photosynthetic function (Heber et al, 1995;Lambers et al, 1998;Matyssek et al, 1995a, b;Pukacki, 2000). The energy status of damaged trees may then be reduced (Ernst, 1976;Ernst and Joosse-van Damme, 1983) by smaller uptake of mineral nutrients (Adams, 1981;Larcher, 2003).…”

Section: Rigidamentioning

confidence: 99%