Long-term ecological research on chlorophyll cycling in the Yuanyang Lake Nature Preserve. I.. The grey prediction models on chlorophyll degradation of Chamaecyparis var. formosana leaf

Title:

Long-term ecological research on chlorophyll cycling in the Yuanyang Lake Nature Preserve. I.. The grey prediction models on chlorophyll degradation of Chamaecyparis var. formosana leaf

Creator:

Yang, C. M., Yang, J. S., Yang, C. K., and Chou, C. H.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:0356da6d-f6d5-4b6b-8d3d-3498358c5c77
uuid:0356da6d-f6d5-4b6b-8d3d-3498358c5c77
issn:0300-3604
doi:10.1023/A:1007157403008

Subject:

exponential regression, grey prediction, and linear regression

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

We applied the grey system theory to evaluation of chlorophyll (Chl) degradation in Chamaecyparis Sieb. & Zucc. var. formosana (Hayata) Rehder needle-leaf in the Yuanyang Lake Nature Preserve of northern Taiwan. Pigment analysis was finished within 12 h after collecting the samples. Four grey prediction models for the degradation of Chl a, Chl b, and for the change of Chl a/b ratio and water content were established and compared with the results of linear and exponential regression analysis. The residual error and accuracy range show that the grey prediction process is much better than regression analysis. The degradation of Chl a and b contains two phases, one being fast and the other slow. and C. M. Yang ... [et al.].

Language:

Multiple languages

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

499-508

Source:

Photosynthetica | 1999 Volume:37 | Number:4

Harvested from:

CDK

Metadata only:

false