检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]中国林业科学研究院森林生态环境与保护研究所,北京100091 [2]贵州省林业科学研究院,贵阳550005
出 处:《林业科学》2011年第7期73-81,共9页Scientia Silvae Sinicae
基 金:林业公益性行业科研专项(200704005;200804022)
摘 要:2009年9月—2010年7月,利用热平衡包裹式茎流计对江西大岗山森林生态站的毛竹进行液流连续观测,并利用自动气象站同步观测气象因子。结果表明:不同季节晴天和阴天毛竹日均液流速率均表现出明显的昼夜变化规律;秋、冬季液流速率连日变化波动较小,而春、夏季受降雨的影响,液流速率波动较大;不同季节晴天毛竹液流速率呈单峰曲线,而春、夏两季有时出现双峰曲线,但"午休"现象不明显;不同季节不同天气条件毛竹夜间可能由于根压的原因而存在微弱的液流;不同季节毛竹由于水分吸收方式的差异,影响液流速率的主导因子也不一致,非生长季与空气温度的相关性最强,生长季均与光合有效辐射的相关性最强;毛竹液流速率表现显著的季节变化规律,生长末期、非生长期、生长初期和生长中期日均液流速率分别为(97.88±5.73)g·h-1,(52.27±3.66)g·h-1,(167.81±20.15)g·h-1和(414.04±48.62)g·h-1;以光合有效辐射、太阳辐射、气温等气象因子作自变量,液流速率作因变量,经逐步回归建立不同季节毛竹液流速率与气象因子的多元线性模型。Sap flow meters based on the stem heat balance method were used to continuously measure the sap flow of Phyllostachys edulis in the Forest Ecosystem Research Station in Dagangshan mountain, Jiangxi Province and in the meantime automatic meteorological stations were used to observe the meteorological factors from September, 2009 to July 2010. Results indicated that the average sap flow rate showed distinct diurnal change rhythms both in sunny and cloudy days in different seasons. The fluctuations of the daily sap flow rates were relatively mild from day to day in autumn and winter, while the fluctuations were relatively violent in spring and summer due to the influences by rainfalls. The sap flow usually displayed unmoral curves in fine days, however it sometimes showed bimodal curves in spring and summer, without significant "noontime depression" phenomenon. There was weak sap flow at nights regardless of seasons or weathers, likely driven by root pressure. The main meteorological factors influencing the sap flow varied in different seasons probably because of the different moisture absorption modes in different seasons. The sap flow was most related to air temperature during dormant time and most related to photosynthetic active radiation (PAR) in the growth season. The sap flow showed distinct seasonal dynamics and the rate was (97.88±5.73) g·h-1, (52.27±3.66) g·h-1, (167.81±20.15) g·h-1 and (414.04±48.62) g·h-1 respectively in the end of growth season, dormant period, early- and mid-phase of the growth season. Multiple linear regression matrix was established between the meteorological factors, regarding PAR, solar radiation, air temperature as independent variables, and sap flow rate of different seasons as dependent variables with high significance.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.249