期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Allometric equations for estimating leaf area index(LAI) of two important tropical species(Tectona grandis and Dendrocalamus strictus) 被引量:2
1
作者 Dhaval Vyas Nirav mehta +1 位作者 J.Dina-karan N.S.R.Krishnayya 《Journal of Forestry Research》 SCIE CAS CSCD 2010年第2期197-200,I0006,共5页
Leaf area index(LAI) of Teak(Tectona grandis) and Bamboo(Dendrocalamus strictus) grown in Shoolpaneshwar Wildlife Sanctuary of Narmada District,Gujarat,India was obtained by destructive sampling,photo-grid metho... Leaf area index(LAI) of Teak(Tectona grandis) and Bamboo(Dendrocalamus strictus) grown in Shoolpaneshwar Wildlife Sanctuary of Narmada District,Gujarat,India was obtained by destructive sampling,photo-grid method and by litter trap method.An allometric equation(between leaf area by litter trap method and canopy spread area) was developed for the determination of LAI.Results show that LAI value calculated by the developed allometric equation was similar to that estimated by destructive sampling and photo-grid method,with Root Mean Square Error(RMSE) of 0.90 and 1.15 for Teak,and 0.38 and 0.46 for Bamboo,respectively.There was a perfect match in both the LAI values(estimated and calculated),indicating the accuracy of the developed equations for both the species.In conclusion,canopy spread is a better and sensitive parameter to estimate leaf area of trees.The developed equations can be used for estimating LAI of Teak and Bamboo in tropics. 展开更多
关键词 BAMBOO canopy spread area leaf area index specific leaf area TEAK tropical forest
下载PDF
Stem Respiration of a Larch (Larix gmelini) Plantation in Northeast China 被引量:11
2
作者 王文杰 杨逢建 +4 位作者 祖元刚 王慧梅 TAKAGI Kentaro SASA Kaichiro KOIKE Takayoshi 《Acta Botanica Sinica》 CSCD 2003年第12期1387-1397,共11页
Stem respiration is an important part of the activity of a tree and is an important source of CO2 evolution from a forest ecosystem. Presently, no standard methods are available for the accurate estimation of total st... Stem respiration is an important part of the activity of a tree and is an important source of CO2 evolution from a forest ecosystem. Presently, no standard methods are available for the accurate estimation of total stem CO2 efflux from a forest. In the current study, a 33-year-old (by the year 2001) larch (Larix gmelini Rupr.) plantation was measured throughout 2001-2002 to analyze its monthly and seasonal patterns of stem respiration. Stem respiration rate was also measured at different heights, at different daily intervals and any variation in the larch plantation was recorded. The relationship between stem temperature, growth status and respiration rate was analyzed. Higher respiration rates were recorded in upper reaches of the larch tree throughout the season and these were affected partially by temperature difference. Midday depression was found in the diurnal changes in stem respiration. In the morning, but not in the afternoon, stem respiration was positively correlated with stem temperature. The reason for this variation may be attributed to water deficit, which was stronger in the afternoon. In the larch plantation, a maximum 7-fold variation in stem respiration was found. The growth status (such as mean growth rate of stem and canopy projection area) instead of stem temperature difference was positively correlated with this large variation. An S-model (sigmoid curve) or Power model shows the greatest regression of the field data. In the courses of seasonal and annual changes of stem respiration, peak values were observed in July of both years, but substantial interannual differences in magnitude were observed. An exponential model can clearly show this regression of the temperature-respiration relationship. In our results, Q(10) values ranged from 2.22 in 2001 to 3.53 in 2002. Therefore, estimation of total stem CO2 efflux only by a constant Q(10) value may give biased results. More parameters of growth status and water status should be considered for more accurate estimation. 展开更多
关键词 Larix gmelini stem respiration growth status growth rate canopy projection area Q(10)
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部