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1.
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
2.
3.
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
4.
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
5.
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
6.
7.
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% ETc) 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% ETc 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% ETc regimes. Deficit irrigation down to 75% ETc had no impact on lint yield, indicating that water savings were possible without reducing yield. 相似文献
8.
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
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
9.
Jan StuckensSebinasi Dzikiti Willem W. Verstraeten Stephan Verreynne Rony Swennen Pol Coppin 《Agricultural and Forest Meteorology》2011,151(7):1002-1015
Hyperspectral remote sensing for monitoring horticultural production systems requires the understanding of how plant physiology, canopy structure, management and solar elevation affect the retrieved canopy reflectance during different stages of the phenological cycle. Hence, the objective of this study was to set up and to interpret a hyperspectral time series for a mature and healthy citrus orchard in the Western Cape province of South Africa considering these effects. Based on the remotely sensed data, biophysical parameters at the canopy level were derived and related to known observed physiological and phenological changes at the leaf level and to orchard management. Fractions of mature fruit, flowers, and sunburnt leaves were considered, and indices related to canopy structure chlorophyll content and canopy water status were calculated.Results revealed small cover fractions of mature fruit, flowers and sunburnt leaves of respectively 2.1%, 3.1% and 7.0%, but the high spectral contrast between flowers and leaves allowed a successful classification of flowering intensity. Furthermore, it was shown that canopy level time series of vegetation indices were sensitive to changes in solar elevation and soil reflectance which could be reduced by applying an empirical soil line correction for the most affected indices. Most trends in vegetation indices at the canopy level could be explained by a combination of changes at the leaf level (chlorophyll, carotenoids, dry matter), changes in canopy structure (leaf area index and leaf angle distribution) and changes in cover fractions of vegetative flushes, flowers and sunburnt leaves. The transformed chlorophyll absorption ratio index over the optimised soil adjusted vegetation index (MCARI/OSAVI) was best related to leaf level trends in chlorophyll content. Seasonal changes in the photochemical reflectance index (PRI) were linked to inverse changes in the carotenoid-to-chlorophyll ratio. Canopy structure indices (the modified triangular vegetation index or MTVI2 and the standardized leaf area index determining index or sLAIDI) were sensitive to changes in leaf area index, average leaf angle as well to management interactions (pruning and harvest). Canopy water status was highly impacted during the spring flush due to expanding leaves that concealed trends in the underlying mature leaves. Seasonal trends in soil and weeds reflectance were related to changes in volumetric soil water content and to the earlier and reduced growth period of non-irrigated weeds. 相似文献
10.
通过玉米水分控制试验,测定不同水分条件下各生育期叶片气孔导度、叶面积指数和冠层光谱反射率等,以分析玉米叶片气孔导度的变化规律及其与光谱植被指数的相关性,从而建立基于光谱植被指数和土壤湿度的叶片气孔导度模型。结果表明:玉米在可见光区和近红外中、长波区的反射率随着土壤水分的降低而上升,但叶片气孔导度(Gs)、叶面积指数(LAI)、比值植被指数(RVI)和归一化植被指数(NDVI)随着土壤水分的下降而降低;玉米NDVI和RVI与单叶片和冠层气孔导度均呈极显著指数函数关系(P〈0.01),且对单叶片气孔导度的拟合效果优于对冠层导度的拟合效果,而经土壤湿度订正的RVI监测模型优于NDVI监测模型。表明通过测定冠层反射光谱率可实时、迅速地定量监测玉米叶片的气孔导度,为大面积作物气孔导度估算奠定基础。 相似文献