Effects of irrigation on geochemical processes in a paddy soil and in ground waters in Camargue (France)

In waterlogged soils, dynamics of water influence the redox conditions and thus the mobility of elements. Irrigation of rice in Camargue (South eastern France) induces yearly dynamics of water. In order to determine the impact of irrigation on the geochemical properties of ground waters, a continuously in situ record of physico-chemical parameters (pH, Eh, temperature and electric conductivity) is performed during 1 year in an irrigated rice field. Seasonal dynamics show large Eh and pH variations. An annual irrigation cycle generates fast precipitations of Ca–Mg carbonates and Fe oxides between 50 and 110 cm depth when the soil is waterlogged. The dissolution of these minerals is initiated during a year without irrigation.     

Detection of rice sheath blight for in-season disease management using multispectral remote sensing

Timely diagnosis of crop diseases in fields is critical for precision on-farm disease management. Remote sensing technology can be used as an effective and inexpensive method to identify diseased plants in a field scale. However, due to the diversity of crops and their associated diseases, application of the technology to agriculture is still in research stage, which needs to be elaborately investigated for algorithm development and standard image processing procedures. In this paper, we examined the applicability of broadband high spatial-resolution ADAR (Airborne Data Acquisition and Registration) remote sensing data to detect rice sheath blight and developed an approach to further explore the applicability. Based on the field symptom measurements, a comprehensive field disease index (DI) was constructed to measure infection severity of the disease and to relate to image sampled infections. In addition to direct band digital number (DN) values, band ratio indices and standard difference indices were used to examine possible correlations between field and image data. The results indicated that the broadband remote sensing imagery has the capability to detect the disease. Some image indices such as RI₁₄, SDI₁₄ and SDI₂₄ worked better than others. A correlation coefficient above 0.62 indicated that these indices would be valuable to use for identification of the rice disease. In the validation analysis, we obtained a small root mean square error (RMS = 9.1), confirming the applicability of the developed method. Although the results were encouraging, it was difficult to discriminate healthy plants from light infection ones when DI < 20 because of their spectral similarities. Hence, it was clear that identification accuracy increases when infection reaches medium-to-severe levels (DI > 35). This phenomenon illustrated that remote sensing images with higher spectral resolution (more bands and narrower bandwidth) were required in order to further examine the capability of separating the light diseased plants from healthy plants.     

Cultivation and human impact at 6000 cal yr B.P. in tropical lowland forest at Niah, Sarawak, Malaysian Borneo

This paper describes palynological evidence for what appears to be comparatively large-scale human impact in the catchment of the Sungai Niah in the wet tropical lowland swamp forests of Sarawak, Malaysian Borneo close to the Great Cave of Niah. Pollen associated with cleared landscapes and rice cultivation is evident in the sedimentary record from before 6000 cal yr B.P. Human activity seems to have been associated with changes in sedimentary regime, with peat-dominated environments being replaced diachronously by clay-dominated deposition. This may reflect anthropogenic soil erosion in the catchment of the Sungai Niah.     

社会网络视角中世界文化遗产地旅游村寨的利益关系治理

以云南省红河州元阳县哈尼梯田核心区域2个典型的旅游村寨（大鱼塘村和普高老寨）为例,对两村寨利益相关者从网络凝聚性、网络互惠性、网络核心边缘、网络传递性、网络经纪人等5个方面展开关系数据分析,结果显示：1）大鱼塘村压力集团内部、压力集团与社区、企业与政府之间的利益关联性和联系的紧密性不足;2）两村当地政府和压力集团与社区之间的互惠性低于整体平均互惠性;3）两村利益网络中边缘结构较核心结构更加明显,这导致了利益关系的不平衡;4）两村当地政府利益集团传递性相对较低,当地社区传递性最高;5）两村中利益集团间缺少部分协调人、守门人、代理人、联络人等角色。最后提出相应建议：1）提升哈尼梯田利益关系由弱利益关系转变为强利益关系,改变利益集团间核心边缘利益关系格局;2）进一步加强各利益集团内部及之间的关联性;3）加强以企业和政府机构为顶点的组间利益传递,让利益流动逐步打破哈尼梯田利益集团之间的核心边缘关系结构;4）重点加强社区在利益关系网络中的参与机会与权力,对社区进行增权;5）利益集团内部要重点培育协调人和顾问角色,利益集团之间要重点培育企业与政府、社区、压力集团之间的守门人、代理人和联络人角色,以及社区与政府和企业之间的守门人、代理人角色。     

粮食地理学视角下乡村本土农业的社会建构——元阳哈尼梯田稻作系统案例

选取元阳哈尼梯田稻作系统为研究对象,基于粮食地理学的农产品生产-消费网络理论,通过深度访谈等方法分析多元主体在本土农业生产消费领域中的策略及行为,解读其中的社会建构现象。研究发现:农业生产领域中多元参与特征显著,优质稻种的人为筛选、种养品种的多样化以及土地流转的推广均为政府、村民和外来企业为实现各自利益而共同协商达成的策略,不同行动者共同利用与改造着农业生产的各种要素;农产品消费领域中,政府和企业逐步承担了农产品商品化的后续工序,国有资本完成农产品的收购、加工与包装,外来商业资本负责建构商品品牌,满足目标消费者的市场需求是他们的共同目标。     

四川水稻定向引种诊断系统及其气候生态模型

介绍了四川水稻定向引种诊断系统（DSIRV）的设计思路，以及建立水稻气候生态、栽培模型的依据和方法。该系统在四川已投入生产应用，其引种诊断成功率达70%以上，比常规品比法进行引种缩短周期2—4年。     

Supervised neural network recognition of habitat zones of rice invertebrates

This study aimed to evaluate effectiveness and performance of several supervised neural network models and make pattern recognition on invertebrate habitat zones. Probabilistic, general regression, and linear neural networks, and discriminant analysis were used to recognize both known and unknown invertebrate habitat zones. The results showed that neural network models were better than traditional discriminant analysis in the recognition of known habitat zones. There was not distinctive variation in recognition from different neural network models. Sensitivity analysis indicated that the learning rate of the neural network would influence recognized results. An unknown invertebrate species from Lepidoptera was recognized to be soil-dweller (dryland) by both neural network models and discriminant analysis. In sensitivity analysis it was additionally recognized to be the type of plant canopy (terrestrial). Overall the species was estimated to be a soil-dweller (dryland) or live on plant canopy (terrestrial). It was concluded that neural network models can perform better than conventional statistic models in pattern recognition, but a comprehensive comparison among various models is necessary in order to achieve a high reliable recognition and prediction. Furthermore, sensitivity analysis can lead to an in-depth grasp on the mechanism in the recognition and is thus needed.     

水稻本田期冠层叶色变化节奏的光谱监测

以Ｅｘｏｔｅｃｈ１００ＢＸ光谱辐射计对不同类型水稻材料无肥处理本田期的监测结果表明，晚熟类型材料武育粳２号，冠层叶色显示出“三黑三黄”的变化节奏。“三黑”出现的时间是：移栽至分蘖末期，枝梗分化期至颖花分化期，花粉母细胞形成及减数分裂期至始穗期；“三黄”出现的时间是：分蘖末期至枝梗分化期，颖花分化期至花粉母细胞形成及减数分裂期，始穗至灌浆期。中熟类型材料汕优６３，冠层叶色显示出“二黑二黄”的变化节奏。“二黑”出现的时间是：移栽至颖花分化期，花粉母细胞形成及减数分裂期至始穗期：“二黄”出现的时间是：颖花分化期至花粉母细胞形成及减数分裂期，始穗至灌浆期。早熟类型材料亚优２号，冠层叶色显示出“一黑一黄”的变化节奏。“一黑”出现的时间是：移栽至颖花分化期；“一黄”出现的时间是：颖花分化期至灌浆期。     

RADARSATSNBSAR数据在大面积水稻估产中的应用研究

由于雷达遥感的全天候、全天时的优势,使之成为南方大范围农业信息动态监测的最佳遥感手段。为了适宜于运行系统,本研究采用加拿大雷达卫星（RADARSAT）窄波扫描模式（SNB）数据,以广东省为例进行了大范围水稻估产。通过建立稻作图谱,解决了在地形复杂、农业集约化程度低、水稻田分布不规则,且地块间田间管理水平差异很大等诸多因素影响下的水稻信息提取问题;在野外观测站采集的水稻生长期生理生态数据的基础上,建立了基于RADARSAT SNB SAR的雷达遥感时序信息水稻估产模型。通过2000年早、晚两季水稻估产的实践证明,此模型估产的精度在平原区达到95％,而在复杂的丘岭谷地则需进一步提高图像预处理的精度,改进特殊地段估产模型的精度。从实用性而言,这是一套高效、经济的技术方法,易于投入实际运行阶段。     

1961-2010年黑龙江省水稻延迟型冷害时空变化特征

利用1961-2010年黑龙江省62个气象站资料,基于5-9月平均气温和水稻冷害等级行业标准,利用累积距平和小波分析等方法分析水稻延迟型轻度、中度和严重冷害的空间分布特征及时间变化规律,以期为水稻延迟型冷害的研究提供基础。结果表明：1961-2010年黑龙江省水稻延迟型冷害主要集中发生在黑河、齐齐哈尔、哈尔滨东部、牡丹江西部和三江平原东部地区。1961-2010年黑龙江省水稻延迟型冷害存在明显的阶段性变化,1994年后转入新的较少发生阶段,2000年后黑龙江省水稻延迟型冷害发生明显减少。黑龙江省水稻延迟型轻度冷害和中度冷害存在21 a和9 a左右的变化周期,水稻延迟型严重冷害存在21 a左右的周期变化。