Quantifying height growth and monthly growing degree days relationship of plantation Taiwan spruce

Guan, Biing T.; Chung, Chi-Jui; Lin, Shu-Tzong; Shen, Chieh-Wen

doi:10.1016/j.foreco.2009.03.003

Cited by 15 publications

(12 citation statements)

References 34 publications

(41 reference statements)

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“…The climate variable examined was the monthly growing-degree-day (GDD, >5°C) derived from the daily records. Guan et al (2009) have demonstrated the importance of GDD on the height growth of Taiwan spruce. The correlations between July to June GDD of different temporal resolutions and HGIs were examined at various time lags, with the climate variables leading.…”

Section: Correlations With Climate Variabilitymentioning

confidence: 97%

“…2), bud dormancy is initiated, and the necessary winter chilling is accomplished. In the third growth stage, the terminal buds break their dormancy, and annual height growth both begins and ends (Guan et al, 2009). …”

Section: Study Site and Speciesmentioning

confidence: 99%

“…The data used in this study were a subset of the stem analysis data collected in 2004 (Guan et al, 2009). The stem analysis data are comprised of 28 trees from a 3-ha Taiwan spruce plantation established in 1967.…”

Section: Height Growth Datamentioning

confidence: 99%

See 2 more Smart Citations

ENSO and PDO strongly influence Taiwan spruce height growth

Guan

Wright

Chung

et al. 2012

Forest Ecology and Management

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Section: Correlations With Climate Variabilitymentioning

confidence: 97%

Section: Study Site and Speciesmentioning

confidence: 99%

See 1 more Smart Citation

ENSO and PDO strongly influence Taiwan spruce height growth

Guan

Wright

Chung

et al. 2012

Forest Ecology and Management

Self Cite

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“…Degree-days have been used in phenological analysis applied to different kind of crops, both in temperate zones (Narwal et al, 1986;Allen and O'brien, 1986;Undersander and Christiansen, 1986;Jones et al, 1991;Sharratt et al, 1989;Spencer et al, 2000;Spencer and Ksander, 2006) and in tropical zones as well (Lemos et al, 1997;McBeth et al, 2001;Bell and Wright, 1998;Jullien et al, 2008;Guan et al, 2009). Degree-days also have been used in insect phenology studies (Tokeshi, 1985;Lindblad and Sigvald, 1996;Hart et al, 1997;Broufas and Koveos, 2000;Milonas et al, 2001;Olsen, 2003;Hirata and Higashi, 2008;Kumral et al, 2008;Naves and Sousa, 2009;Nietschke et al, 2007;Elliot et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Comparison of eight degree-days estimation methods in four agroecological regions in Colombia

2012

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Eight methods were used to estimate degree-days in four Colombian localities. Four methods have been previously proposed in literature: Simple Sine, Double Sine, Simple Triangle, and Double Triangle methods. The other four methods are proposed in this research: Simple Logistic, Double Logistic, Simple Normal, and Double Normal. The estimation of the degree-days through hourly temperature values was used as the reference standard method, and the four localities from where the temperature values were taken were the municipalities of Cajicá (Cundinamarca), Santa Elena (Antioquia), Carepa (Urabá Antioqueño), and Ciudad Bolivar (Zona cafetera Antioqueña). Degree-days obtained by all methods under study were compared through linear regression to those obtained by the reference standard method. There were differences in the correlation of each method to the reference when compared within each region and among regions. The Simple Logistic and Double Logistic methods showed the best performance with acceptable R 2 values and considerably lower bias than the other methods. The poorest fit was found in Cajicá, where the average R 2 was 0.571. For the regions of Santa Elena and Carepa, the average R 2 was 0.756 and 0.733. The best fit was found in Ciudad Bolivar, with an average R 2 of 0.826.Key words: degree-days, thermal time, temperature threshold, statistical modeling. Comparação de oito métodos para calcular graus-dia em quatro regiões agroecológicas ResumoEstimativas de graus-dia foram obtidas pelos métodos de seno simples e duplo, triangulo simples e duplo, as quais são amplamente utilizadas. Quatro novos métodos foram propostos e avaliados nesta pesquisa: logística simples e dupla, normal simples e dupla, baseadas em regressão logística e distribuição normal. Registros horários de temperatura obtidos em Cajicá (Cundinamarca), Santa Elena (Antioquia), Carepa (Urabá Antioqueño) e Ciudad Bolivar (Região tradicional da cultura do café) foram utilizados para obter estimativas da soma térmica com maior precisão sendo, portanto, considerada como a referên-cia para comparação utilizando regressão linear. Foram constatadas diferenças entre o ajuste dos métodos dentro de cada região e entre regiões. Foram observados os maiores coeficientes de determinação (R 2 ), nos métodos de logística simples e logística dupla. O menor coeficiente de determinação, de 0,571, foi obtido em Cajicá enquanto nas regiões de Medellín e Carepa, o R 2 foi de 0,756 e 0,733 respectivamente. O melhor ajuste foi obtido em Ciudad Bolivar, com um R 2 igual a 0,826.Palavras-chave: graus-dia, tempo térmico, temperatura basal, modelagem estatística.

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“…Interest in tree improvement was rekindled in recent years out of concerns over the impacts of global warming (HSU and CHEN, 2002;QUAN et al, 2009) and also the dwindling forest resources in neighboring countries in Southeast Asia, a major timber source for Taiwan in the past decades. Analyses of the growth data from these progeny tests, which are now close to rotation age, can provide the basic information on genetic variability, heritability, selection regime, and potential gain for assessing the short and long term viability for tree improvement.…”

Section: Introductionmentioning

confidence: 99%

Genetic Variation and Tree Improvement of Konishii fir (Cunninghamia lanceolata(Lamb.) Hook. var.konishii) in Taiwan

et al. 2011

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HÜHN, M. (1979): Beiträge zur Erfassung der phänotypi, respectively. At this age, family accounted for 9, 12, and 11% of the total variance in height, DBH and volume, respectively. Also at age 21, individual tree heritability was 0.35, 0.49, and 0.45 for height, DBH and volume, respectively, and family heritability was 0.53, 0.69, and 0.66 for the three respective characteristics. The age trend for all genetic parameters was more stable for DBH than for height and volume. Family (backward) selection for DBH at age 21 resulted in a 9.6 % gain and indirectly 5.1 and 21.0 % gains for height and volume, respectively, compared to 5.2 and 20.1% gains for height and volume, respectively, when selection for these characteristics is done directly. DBH is an effective proxy trait for selection in growth. DBH is also less susceptible than height to typhoon damage, which frequently afflicts tree plantations in Taiwan. Therefore, DBH should be considered as the primary trait for selection for Konishii fir in Taiwan. Konishii fir is a genetically variable species despite its limited geographic range, and is fast growing which makes it a viable candidate species for tree improvement. Genetic Variation and

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Quantifying height growth and monthly growing degree days relationship of plantation Taiwan spruce

Cited by 15 publications

References 34 publications

ENSO and PDO strongly influence Taiwan spruce height growth

ENSO and PDO strongly influence Taiwan spruce height growth

Comparison of eight degree-days estimation methods in four agroecological regions in Colombia

Genetic Variation and Tree Improvement of Konishii fir (Cunninghamia lanceolata(Lamb.) Hook. var.konishii) in Taiwan

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