Herbaceous vegetation of dry tropical forest exhibits strong temporal variability in diversity during the growing season. Thus, careful estimation of species distribution patterns in space and time, represented by adequate sampling to capture natural patterns of variation, is necessary for characterizing and understanding natural patterns of forest understorey diversity. The initial part of the growing season is best for sampling for SLA, leaf N and leaf P; while the mid season period is better for quantifying Gs and Amass. Further, since SLA had significant correlation with all other leaf traits and its seasonal pattern was consistent across all life forms, it can be considered the most important trait for the study of forest herbs, and can predict photosynthetic rate (hence productivity) and decomposability of herbaceous biomass.
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Herbaceous vegetation of dry tropical forest exhibits strong temporal variability in diversity during the growing season. Thus, careful estimation of species distribution patterns in space and time, represented by adequate sampling to capture natural patterns of variation, is necessary for characterizing and understanding natural patterns of forest understorey diversity. The initial part of the growing season is best for sampling for SLA, leaf N and leaf P; while the mid season period is better for quantifying Gs and Amass. Further, since SLA had significant correlation with all other leaf traits and its seasonal pattern was consistent across all life forms, it can be considered the most important trait for the study of forest herbs, and can predict photosynthetic rate (hence productivity) and decomposability of herbaceous biomass.
Dr. Prajjwal Dubey, PhD, Ecosystems Analysis Laboratory, Department of Botany, Banaras Hindu University, Varanasi-221005 (India).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Herbaceous vegetation of dry tropical forest exhibits strong temporal variability in diversity during the growing season. Thus, careful estimation of species distribution patterns in space and time, represented by adequate sampling to capture natural patterns of variation, is necessary for characterizing and understanding natural patterns of forest understorey diversity. The initial part of the growing season is best for sampling for SLA, leaf N and leaf P; while the mid season period is better for quantifying Gs and Amass. Further, since SLA had significant correlation with all other leaf traits and its seasonal pattern was consistent across all life forms, it can be considered the most important trait for the study of forest herbs, and can predict photosynthetic rate (hence productivity) and decomposability of herbaceous biomass. 108 pp. Englisch. N° de réf. du vendeur 9783846550069
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Herbaceous vegetation of dry tropical forest exhibits strong temporal variability in diversity during the growing season. Thus, careful estimation of species distribution patterns in space and time, represented by adequate sampling to capture natural patterns of variation, is necessary for characterizing and understanding natural patterns of forest understorey diversity. The initial part of the growing season is best for sampling for SLA, leaf N and leaf P; while the mid season period is better for quantifying Gs and Amass. Further, since SLA had significant correlation with all other leaf traits and its seasonal pattern was consistent across all life forms, it can be considered the most important trait for the study of forest herbs, and can predict photosynthetic rate (hence productivity) and decomposability of herbaceous biomass. N° de réf. du vendeur 9783846550069
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dubey PrajjwalDr. Prajjwal Dubey, PhD, Ecosystems Analysis Laboratory, Department of Botany, Banaras Hindu University, Varanasi-221005 (India).Herbaceous vegetation of dry tropical forest exhibits strong temporal variability in d. N° de réf. du vendeur 5498403
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Herbaceous vegetation of dry tropical forest exhibits strong temporal variability in diversity during the growing season. Thus, careful estimation of species distribution patterns in space and time, represented by adequate sampling to capture natural patterns of variation, is necessary for characterizing and understanding natural patterns of forest understorey diversity. The initial part of the growing season is best for sampling for SLA, leaf N and leaf P; while the mid season period is better for quantifying Gs and Amass. Further, since SLA had significant correlation with all other leaf traits and its seasonal pattern was consistent across all life forms, it can be considered the most important trait for the study of forest herbs, and can predict photosynthetic rate (hence productivity) and decomposability of herbaceous biomass.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. N° de réf. du vendeur 9783846550069
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Taschenbuch. Etat : Neu. Functional Traits of Herbs in Tropical Dry Deciduous Forest | An Analysis | Prajjwal Dubey (u. a.) | Taschenbuch | 108 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846550069 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106724412
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Paperback. Etat : Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock. N° de réf. du vendeur __384655006X
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