祁连山中部亚高山草地作物系数估算   总被引：1，自引：1，他引：0  

高云飞  赵传燕  王清涛  葛红元  王红义  林梅 《中国沙漠》2016,36(5):1419-1425

利用Lysimeter蒸散仪于2011-2014年对祁连山中部黑河上游天涝池流域亚高山草地实际蒸散量进行观测。用FAO Penman-Monteith模型对草地参考蒸散量进行估算,根据草地植被高度结合气象数据,以估算日尺度作物系数,以估算的作物系数与模拟的参考蒸散量计算草地实际蒸散量,并用观测值进行验证。结果表明：FAO改进后的作物系数计算方法适合该区域草地作物系数的计算;以FAO Penman-Monteith模型估算的日蒸散量为0.50~7.26 mm,生长季日均蒸散量有年际变化,2011年 > 2014年 > 2012年 > 2013年。总体来看,土壤蒸发总量年际变化不大,影响蒸散量年际变化的主要部分是植被的蒸腾。  相似文献   

Biogeography and Genetic Diversity of Pearl Millet (Pennisetum glaucum) from Sahelian Africa     

Laura R. Lewis 《The Professional geographer》2013,65(3):377-394

Sahelian Africa makes up the native range of pearl millet and the impact of domestication on the genetic diversity of wild, intermediate, and cultivated subspecies is still poorly understood. Wild populations are known to spontaneously germinate throughout this range and hybridize with cultivated material. To investigate genetic structure, populations of pearl millet from several African countries were analyzed at the morphological and molecular levels for diversity. Results demonstrate how little differentiation there is between subspecies and populations. It appears that pearl millet throughout the Sahel remains a metapopulation with large hybrid zones. These results have important implications for conservation of pearl millet.  相似文献   

A review on statistical models for identifying climate contributions to crop yields   总被引：5，自引：0，他引：5  

Wenjiao Shi  Fulu Tao  Zhao Zhang 《地理学报(英文版)》2013,23(3):567-576

Statistical models using historical data on crop yields and weather to calibrate relatively simple regression equations have been widely and extensively applied in previous studies, and have provided a common alternative to process-based models, which require extensive input data on cultivar, management, and soil conditions. However, very few studies had been conducted to review systematically the previous statistical models for indentifying climate contributions to crop yields. This paper introduces three main statistical methods, i.e., time-series model, cross-section model and panel model, which have been used to identify such issues in the field of agrometeorology. Generally, research spatial scale could be categorized into two types using statistical models, including site scale and regional scale (e.g. global scale, national scale, provincial scale and county scale). Four issues exist in identifying response sensitivity of crop yields to climate change by statistical models. The issues include the extent of spatial and temporal scale, non-climatic trend removal, colinearity existing in climate variables and non-consideration of adaptations. Respective resolutions for the above four issues have been put forward in the section of perspective on the future of statistical models finally.  相似文献   

An exploratory analysis of benthic macroinvertebrates as indicators of the ecological status of the Upper Yellow and Yangtze Rivers     

Baozhu Pan  Zhaoyin Wang  Zhiwei Li  Guo-an Yu  Mengzhen Xu  Na Zhao  Gary Brierley 《地理学报(英文版)》2013,23(5):871-882

This study presents findings of the first systematic analysis of aquatic biotic assemblages in the source region of the Yellow and Yangtze Rivers. It provides an initial basis with which to select representative organisms as indicators to assess the aquatic ecological status of rivers in this region. Macroinvertebrates are considered to be good indicators of long-term environmental changes due to their restricted range and persistence over time. Field investigations of macroinvertebrates were conducted in August 2009 in the source region of the Yellow River, and in July 2010 in the source region of the Yangtze River. Altogether 68 taxa of macroinvertebrates belonging to 29 families and 59 genera were identified. Among them were 8 annelids, 5 mollusks, 54 arthropods and 1 other animal. In the source region of the Yellow River, taxa number, density and biomass of macroinvertebrates were 50, 329 individuals m2 and 0.3966 g dry weight m2, respectively. Equivalent figures for the source region of the Yangtze River were 29, 59 individuals m2 and 0.0307 g dry weight m-2. The lower benthic animal resources in the source region of the Yangtze River are ascribed to higher altitude, higher sediment concentration and wetland degradation. Preliminary findings of this exploratory study indicate that hydroelectric power stations had a weak impact on benthic dwellers but wetland degradation caused by a series of human activities had a catastrophic impact on survival of macroinvertebrates. Ecological protection measures such as conservative grazing and vegetation management are required to minimize grassland degradation and desertification, and reduce soil erosion rate and river sediment discharge.  相似文献   

湖南省大通湖河蚬(Corbicula fluminea)现存量及其时空分布     

李德亮  张婷  肖调义  龚望宝  谢骏  李祖军  刘安民 《湖泊科学》2013,25(5):743-748

大通湖是湖南省最大的养殖湖泊.随着河蚬经济价值的提升,大通湖河蚬Corbicula fluminea(Müller,1774)的开发强度逐年增加.为实现河蚬资源的合理开发,本研究在对大通湖河蚬形态特征、现存量及其时空分布调查分析基础上,重点探讨了养殖和软体动物捕捞对其资源的影响.结果显示,壳长大于6 mm河蚬的平均湿重(BW)、壳长(SL)、壳高(SH)和壳宽(SW)分别为1.41±0.03 g、14.82±0.09 mm、13.73±0.09 mm和9.72±0.06 mm,平均相对高度、圆度和凸度分别为0.930±0.001、0.660±0.001和0.710±0.001.河蚬壳长、壳高、壳宽与湿重的关系分别为:lg BW=-3.45+3.00 lg SL、lg BW=-3.23+2.89 lg SH、lg BW=-2.87+2.97 lg SW,表明河蚬为等速生长.2010 2011年,大通湖河蚬平均密度和生物量均较2009年显著增加.2009年,河蚬主要分布于中北部的蜜蜂夹湖区域,2010年开始,几乎遍布整个大通湖,但整体上呈现由东北向西南逐渐递减的趋势,密度和生物量高值均出现在大通湖中部,蜜蜂夹湖、大西湖与尼古湖交界区域.推测养殖过程中物化产品投入的增加是导致大通湖河蚬现存量快速增加的主要原因之一,软体动物捕捞加速了河蚬分布区域的扩展.据此提出了大通湖河蚬合理开发和有效保护的建议.  相似文献   

Spatio-temporal variations of reference crop evapotranspiration and pan evaporation in the West Songnen Plain of China     

Liqiao Liang  Qiang Liu 《水文科学杂志》2013,58(7):1300-1313

Abstract

The spatio-temporal variations of reference crop evapotranspiration (ET_ref) reflect the combined effects of meteorological variables, primarily wind speed, relative humidity, net radiation and air temperature. This study investigated the spatial distribution and temporal trends of ET_ref (calculated by the FAO-56 Penman-Monteith equation), pan evaporation (E_pan) and pan coefficient (K_p) in a 140?×?10³ km² semi-humid to semi-arid area in China. The results show that: (i) although the spatial distributions of ET_ref and E_pan are roughly similar and their spatial correlation is high over the growing season, K_p varied considerably in space due to high humidity in the east of the region and low humidity in the southwest; (ii) the monthly variations of ET_ref and E_pan are similar to that of net radiation and opposite to that of relative humidity, while the monthly variation of K_p is similar to that of relative humidity and opposite to that of wind speed, and the long-term trend is slightly increasing for ET_ref and E_pan, while significantly (10% significance level) increasing for K_p; and (iii) generally, the time series of ET_ref and E_pan from 1951 to 2001 could be divided into three phases due to variations of meteorological variables.

Citation Liang, L.-Q., Li, L.-J. & Liu, Q. (2011) Spatio-temporal variations of reference crop evapotranspiration and pan evaporation in the West Songnen Plain of China. Hydrol. Sci. J. 56(7), 1300–1313.  相似文献   

Generation of high spatial and temporal resolution NDVI and its application in crop biomass estimation     

《International Journal of Digital Earth》2013,6(3):203-218

Abstract

While data like HJ-1 CCD images have advantageous spatial characteristics for describing crop properties, the temporal resolution of the data is rather low, which can be easily made worse by cloud contamination. In contrast, although Moderate Resolution Imaging Spectroradiometer (MODIS) can only achieve a spatial resolution of 250 m in its normalised difference vegetation index (NDVI) product, it has a high temporal resolution, covering the Earth up to multiple times per day. To combine the high spatial resolution and high temporal resolution of different data sources, a new method (Spatial and Temporal Adaptive Vegetation index Fusion Model [STAVFM]) for blending NDVI of different spatial and temporal resolutions to produce high spatial–temporal resolution NDVI datasets was developed based on Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM). STAVFM defines a time window according to the temporal variation of crops, takes crop phenophase into consideration and improves the temporal weighting algorithm. The result showed that the new method can combine the temporal information of MODIS NDVI and spatial difference information of HJ-1 CCD NDVI to generate an NDVI dataset with both high spatial and high temporal resolution. An application of the generated NDVI dataset in crop biomass estimation was provided. An average absolute error of 17.2% was achieved. The estimated winter wheat biomass correlated well with observed biomass (R ² of 0.876). We conclude that the new dataset will improve the application of crop biomass estimation by describing the crop biomass accumulation in detail. There is potential to apply the approach in many other studies, including crop production estimation, crop growth monitoring and agricultural ecosystem carbon cycle research, which will contribute to the implementation of Digital Earth by describing land surface processes in detail.  相似文献   

INTRINSIC THRESHOLDS IN SOIL SYSTEMS     

Daniel R. Muhs 《自然地理学》2013,34(2):99-110

The threshold concept has been applied with considerable success to the understanding of geomorphic systems. Both intrinsic and extrinsic thresholds can be recognized in soil systems, but intrinsic thresholds have previously been largely ignored. Examples of intrinsic thresholds in soils include minimum levels of sesquioxides for immobilization of organic matter in spodic horizons, leaching of carbonates before clay movement can take place, and certain minimum clay mineral ratios before a pedogenic regime dominated by pedoturbation can occur. Recognition of intrinsic thresholds explains soil instability in the absence of environmental change.  相似文献   

基于典型物候特征的MODIS-EVI时间序列数据 农作物种植面积提取方法 —小区域冬小麦实验研究   总被引：11，自引：1，他引：10  

潘耀忠  李乐  张锦水  梁顺林  侯东 《遥感学报》2011,15(3):578-594

利用MODIS植被指数时间序列这一特性,以北京市通州及周边为实验区,冬小麦种植面积为研究对象,提出 了农作物种植面积指数模型(Pan-CPI模型)的概念,并构造了冬小麦特征物候期植被指数与种植面积的定量函数关系, 通过样区TM影像求解关键参数,对研究区冬小麦种植面积测量方法进行了试验研究。研究结果表明：(1)Pan-CPI模 型能够很好地反映特定目标农作物种植面积状况,为基于植被指数时间序列影像识别农作物种植面积提供了新方法; (2)精度分析结果表明：Pan-CPI模型具有很高的稳定性,且不受样本变化的影响,只要达到满足模型计算的样本量(如： 5%),多次测量结果间具有很好的一致性。选取MODIS 6×6像元大小的窗口时,TM样本的复相关系数(R2)稳定在0.85 左右,与TM结果比较,窗口相对精度稳定在95%左右,区域精度稳定在92%以上,经调整的区域精度高达96%以上; (3)对于种植结构复杂、目标作物种植破碎的地区,Pan-CPI模型可以充分利用MODIS植被指数时间序列的优势,有效改 善TM单时相和多时相提取信息因时相缺失无法表征作物变化的不足。  相似文献   

机载Lidar数据的农作物覆盖度及LAI反演   总被引：4，自引：1，他引：3  

崔要奎  赵开广  范闻捷  徐希孺 《遥感学报》2011,15(6):1282-1294

虽然Lidar点云数据已被广泛应用于获取森林各项结构参数,但这些方法并不适合于低矮的灌丛、林地和农作物。本文以玉米为研究对象,提出利用机载Lidar点云数据的强度信息和全波形数据中的距离与扫描天顶角信息,反演农作物覆盖度和LAI的方法。在黑河进行的飞行实验和地面验证表明,该方法具有较高精度,也表明Lidar在低矮自然植被监测和农业应用上有较大潜力。  相似文献