Spatial pattern analysis of pre- and post-hurricane forest canopy structure in North Carolina,USA     

Boutet  Jeffry C.  Weishampel  John F. 《Landscape Ecology》2003,18(6):553-559

Existing spatial patterns of a forest are in part a product of its disturbance history. Using laser altimetry and field measures of canopy top height to represent pre- and post-hurricane canopy topography, respectively, we measured changes in spatial patterns of stand structure of a United States southern mixed coniferous-deciduous for est. Autocorrelative and fractal properties were measured in this opportunistic study to quantify changes in canopy architecture along twelve, 190-250 m transects that were subjected to moderate to high levels of wind disturbance. Prior to the hurricane, canopy heights were autocorrelated at scales <40 m with an average fractal dimension of 1.71. After the disturbance, autocorrelation disappeared; the average fractal dimension rose to 1.94. This shift towards spatial randomness illustrates part of the cyclical nature of ecosystem development. It shows how a catastrophic collapse of biomass accumulation corresponds to a decrease in ecosystem organization across a landscape. This revised version was published online in July 2006 with corrections to the Cover Date.  相似文献   

篱壁式红富士苹果光照分布及结果部位对果实品质的影响   总被引：4，自引：0，他引：4  

徐胜利  陈小青  李绍华 《北方果树》2002,(1):4-6

作者对6～7年生篱壁式红富士苹果叶幕光照分布、结果部位对品质的影响进行了研究.结果表明:篱壁形叶幕光照垂直分布和水平分布的日变化相对均衡,树冠内未产生无效光区;品质垂直和水平分布与光照垂直和水平分布呈极显著正相关.中、下层中长果枝果实的果面光洁度分别为92.7%和97.2%,端正果率分别为91.6%和92.5%.  相似文献   

土壤温度对作物根区环境及玉米根冠生长的调控研究进展     

夏镇卿  路海东 《玉米科学》2020,28(3):99-104

土壤温度对作物的生长发育具有很强的调控作用。在全球气候变化背景下,根区土壤温度对玉米生长的影响及其调控机制已成为当前研究的一个热点。结合目前农业生产中土壤低温和高温对玉米造成危害的现状,从土壤温度对作物根区土壤环境以及玉米根系生长、冠层发育与产量形成的影响方面,综述土壤温度对玉米生长发育调控作用的研究进展,介绍改变土壤温度的措施以及对玉米土壤温度研究的发展方向进行展望,为今后的研究提供参考。  相似文献   

Estimation of litchi (Litchi chinensis Sonn.) leaf nitrogen content at different growth stages using canopy reflectance spectra     

《European Journal of Agronomy》2016

The estimation of crop nitrogen status in fresh vegetation leaf using field spectroscopy is challenging due to the weak responses on leaf/canopy reflectance and the overlapping with the absorption features of other compounds. Although the spectral indices were proposed in the literature to predict leaf nitrogen content (LNC), the performance of selected spectral indices to estimate the LNC is often inconsistent. Moreover, the models for nitrogen content estimation changed with the growth stage. The goal of this study was to evaluate the performance of published indices, ratio of data difference index (RDDI) and ratio of data index (RDI) developed by band iterative-optimization algorithm in LNC estimation. The correlation analysis, linear regression and cross validation were used to analyze the relationship between spectral data and LNC and construct the best performed estimation model. The study was conducted by the data of five growing seasons of litchi from the orchards in Guangdong Province of China. Results showed that the relationship between chlorophyll (Chl) related spectral indices and LNC varied with the growth stage. Even in flower bud morphological differentiation stage and autumn shoot maturation stage, there were not significant correlations between the proposed spectral indices and LNC. Besides it is difficult to estimate the LNC by the general model across the growth stages due to the integrated effects of cultivar, biochemical, canopy structure, etc. The band iterative-optimization algorithm can improve the sensitivity of spectral data to LNC to some extent. The optimal RDDI performed better than other indices for the synthetic dataset and the dataset in each growth stage. And the sensitive bands selected in the optimal indices at each growth stage are not consistent, which are not only related to the Chl absorption but also other biochemical components, such as starch, lignin, cellulose, protein, etc. In general, the LNC can be estimated by the optimized CR-based RDDI indices in autumn shoot maturation stage, flower spike stage, fruit maturation stage, and flowering stage with the R² > 0.50 and RMSE < 0.14. Although there were the significant relationship between RDIs and RDDIs in flower bud morphological differentiation stage, the highest R²s of the model developed by RDDIs and RDIs were less than 0.50 in cross validation. This study indicated that the applicability of canopy reflectance to estimate litchi LNC was closely related to the growth stage of litchi. Growth stage-specific models will be preferred for estimating litchi LNC estimation.  相似文献   

遮雨棚设施结构对枣园温湿度的影响     

杨飞 《山西林业科技》2013,(3):23-25,43

笔者以7年生-10年生壶瓶枣树为试材，研究了遮雨棚栽培与大田栽培条件下温湿度变化规律和差异。结果表明：遮雨棚在晴天高温时有降温的作用，而阴雨天温度较低时则有保温的作用；遮雨棚阻碍了水分蒸发，使得相同条件下棚内湿度高于棚外；雨后棚内与棚外温度变化趋势基本一致，棚外湿度变化剧烈，棚内较为缓和。  相似文献   

日光温室茄子冠气温差与环境因子之间的关系研究   总被引：6，自引：0，他引：6  

彭致功  杨培岭  段爱旺  何晖 《华北农学报》2003,18(4):111-113

系统地研究了日光温室内茄子冠气温差的变化规律与环境因子之间的关系,运用回归方法建立了主要气象因子与冠气温差之间的数量关系。深入分析了不同土壤水分条件下日光温室内茄子冠气温差与土壤含水量的关系,并建立了二者之间的相关方程,得出了诊断茄子水分状况的指标。  相似文献   

Remote sensing of biotic and abiotic stress for irrigation management of cotton     

Nyland R. Falkenberg  Giovanni Piccinni  J. Tom Cothren  Daniel I. Leskovar  Charlie M. Rush 《Agricultural Water Management》2007

The applicability of commercially available remote sensing instrumentation was evaluated for site-specific management of abiotic and biotic stress on cotton (Gossypium hirsutum L.) grown under a center pivot low energy precision application (LEPA) irrigation system. This study was conducted in a field where three irrigation regimes (100%, 75%, and 50% ET_c) were imposed on areas of Phymatotrichum (root rot) with the specific objectives to (1) examine commercial remote sensing instrumentation for locating areas showing biotic and abiotic stress symptomology in a cotton field, (2) compare data obtained from commercial aerial infrared photography to that collected by infrared transducers (IRTs) mounted on a center pivot, (3) evaluate canopy temperature changes between irrigation regimes and their relationship to lint yield with IRTs and/or IR photography, and (4) explore the use of deficit irrigation and the use of crop coefficients for irrigation scheduling. Pivot-mounted IRTs and an IR camera were able to differentiate water stress among irrigation regimes. The IR camera distinguished between biotic (root rot) and abiotic (drought) stress with the assistance of groundtruthing. The 50% ET_c regime had significantly higher canopy temperatures than the other two regimes, which was reflected in significantly lower lint yields when compared to the 75% and 100% ET_c regimes. Deficit irrigation down to 75% ET_c had no impact on lint yield, indicating that water savings were possible without reducing yield.  相似文献   

基于冠层温度和土壤墒情的实时监测与灌溉决策系统   总被引：4，自引：0，他引：4  

蔡甲冰  许迪  司南  魏征 《农业机械学报》2015,46(12):133-139

设计了一个可以在线连续监测田间作物冠层温度、环境信息和土壤墒情的实时灌溉决策系统,并将其安装于农田进行了1 a实际运行和观测。系统采用太阳能供电和微处理器进行数据采集和管理,为野外的实际应用提供了保障。系统配置了红外温度、空气温/湿度、土壤水分/水势等传感器,能够及时采集田间全面的同步数据,排除了异地观测所形成的数据误差。采用悬臂式多点采集下垫面红外温度检测方法,可以快速采集更多和更高精度的数据,避免单点测量的人为误差。系统配备的快速锁紧装置,能够根据下垫面作物的生长情况进行传感器位置高度调节,使检测数据更符合田间实际情况。通过运行管理和监测数据分析可见,所监测数据能够很精细的刻画田间作物实际生长状况,可以用于灌区综合灌溉决策,实现田间精量灌溉管理和控制,为灌溉管理的精量化和智能化提供数据支持。  相似文献   

红松林冠对降水的截留特征   总被引：2，自引：0，他引：2  

党宏忠  董铁狮  赵雨森 《东北林业大学学报》2007,35(10):4-6

通过野外测定与统计分析,系统研究了红松(Pinus koraiensis)林冠对降水的截留特征。在观测期间(2003年5-9月),红松林分林冠截留量为103.48mm,占同期降水量的26.19%;降水按以下比例被再次分配:穿透降水68.16%,林冠截留26.19%,树干径流5.65%。利用Horton改进模型进行模拟分析,结果表明:红松林分表征林冠吸附容量的参数Ic*m=2.387mm,大于该地区针叶树种樟子松和落叶松的吸附容量;表征区域降雨蒸发能力的参数α=13.9%。2个参数较好的解释了红松林冠截留吸附、湿润与蒸发机理;红松林冠截留率随降水的变化曲线可分为快变期(截留率>30%,降水量<15mm)、渐变期(截留率30%~18.67%,降水15~50mm)和稳定期(截留率<18.67%,降水>50mm)3个阶段,红松林冠稳定截留率为18.67%。红松林冠截留构成中吸附截留量较大。  相似文献   

华北地区冬季温室植物冠层温度建     

何芬  马承伟 《农业机械学报》2009,40(5):169-172

基于温室内植物冠层能量平衡关系,建立了与温室内、外气象条件和温室结构相关的冠层温度模拟机理模型,并在华北地区文洛型温室内对该模型进行了试验验证.结果表明:模型能较好地模拟冬季温室内植物冠层温度,模拟值和实测值之间的相关系数为0.797 5,均方根误差为1.3℃.建立了冠层温度的BP神经网络模型,模型相关系数为0.783 5,均方根误差为0.6℃.在所建神经网络模型基础上,运用敏感性分析法对影响冠层温度的各因素进行重要性分析和排序,得出影响冠层温度的最重要因子是室内温度,其次为蒸腾速率、室外太阳辐射和室内相对湿度.  相似文献