Revisiting Sustainable Development of Dry Valleys in Hengduan Mountains Region

Dry valleys are a striking geographic landscape in Hengduan Mountains Region and are characterized by low rainfall, desert type of vegetation and fragile environment. Past efforts and resources have been concentrated mainly on rehabilitation of degraded ecosystem and fragile environment, particularly reforestation, while socio-economic development has been largely overlooked. Despite successes in pocket areas, the overall trend of unsustainability and environmental deterioration are continuing. It is important to understand that uplift of the Tibetan Plateau is the root cause of development of dry valleys, and development and formation of dry valleys is a natural process. Human intervention has played a secondary role in development of dry valleys and degradation of dry valleys though human intervention in many cases has speeded up environmental degradation of the dry valleys. It is important to understand that dry valleys are climatic enclaves and an integrated approach that combines rehabilitation of degraded ecosystems and socio-economic development should be adopted if the overall goal of sustainable development of dry valleys is to be achieved. Promotion of niche-based cash crops, rural energy including hydropower, solar energy, biogas and fuelwood plantation is recommended as the priority activities.     

GMOs and their contexts: A comparison of potential and actual performance of GM crops in a local agricultural setting

In this paper, I argue that genetically modified organisms (GMOs) have inherent potential to contribute to socially and environmentally sustainable agriculture by virtue of their ‘biological embeddedness’. Their actual ‘performance’ and how this contributes to sustainability depends on the ‘mutual shaping’ of technology and context. While much attention has been given to the design context of GMOs, this paper considers the influence of the application context and of users. A case study investigating the use of insect-resistant and herbicide-tolerant GM cotton in the cotton-growing region of New South Wales in Australia is presented. The study was based on focus groups with farmers and other stakeholders in a cotton-growing community. It demonstrated a range of direct and indirect effects of GM cotton use, both positive and negative for sustainability, and the ways in which these effects were influenced by the local social context. The influences of the biotechnology industry context, in limiting the contributions that gene technologies can make to sustainability, were also considered, and remedies suggested. I argue that the polarity of the GM debate is hindering progress on these issues, and that a more balanced approach to our analysis of GMOs is necessary in order to fully understand, and to influence, their role in the future of rural spaces.     

19802000北京市农业土地生产性的变动分析

根据1980、1990、2000年的统计资料和实地走访观察,本文分析了北京市乡镇一级的粮食作物、蔬菜作物和果品作物的分布格局及农业土地生产性近20年的变化。研究认为:1980年北京农业生产分布格局与土地生产性为比较典型的杜能模式;随着农业经营的多样化,1990年和2000年北京农业土地生产性呈现出多样的分布格局;北京粮食作物、蔬菜作物、果品作物的分布格局及农业土地生产性近20年的变化与此阶段的农业生产政策、农业以外的社会经济活动变化有较强的关联性;对北京以上问题的研究为验证杜能、辛克利亚、布莱昂特城市周边农业地域研究经典理论的演变提供了实证案例。     

广东省特色农作物标准波谱数据库框架设计与示范应用

本研究着眼于广东省典型特色农作物的波谱，建立了波谱数据库，该库分为知识库、遥感实测波谱库、模型库、波谱分析和 荔枝园示范5大部分。 在波谱分析模块设计上提供了波谱数据查询、分析等功能，通过对荔枝园种植面积应用示范，给用户提供了极 大方便。     

金衢盆地典型地区土壤-稻米重金属含量及土壤酸碱度的影响研究

作物对土壤中重金属的吸收受作物种类、采集部位及土壤理化性质等多方面因素的影响。近年来,金衢盆地土壤酸化面积逐年增大,酸化程度逐渐加深,其对土壤-作物系统中重金属元素的活动影响尚不明确。本文基于金衢盆地典型地区264组根系土壤-稻米样品分析数据,开展土壤、作物的重金属含量特征及其影响因素的研究,重点讨论了土壤pH对作物吸收重金属的影响。结果表明：①264件土壤中多数重金属元素的变异系数大于0.5,As、Cd、Cr、Cu、Ni和Zn元素之间呈显著正相关（P<0.01）。土壤Cd超标样品23件,超标率为8.7%;As、Cr、Cu、Hg、Ni、Pb和Zn超标样品均未超过2件。②稻米中Cu、Zn与Cd含量呈显著正相关,Cd的富集系数（BCF）高于植物营养元素Cu、Zn。③稻米中Zn和Cu在P<0.1水平上与pH值呈显著正相关。Cd、Cr、Hg的BCF与pH值之间存在一定的负相关性。研究认为,适当调低土壤的酸碱度会削减土壤中Cd、Hg等重金属元素的活性,从而减少农作物对重金属的吸收转运。研究结果可为当地粮食安全生产决策提供科学数据,为土地管护提供参考依据。     

基于时间序列叶面积指数稀疏表示的作物种植区域提取

以华北平原黄河以北地区为研究区域,以时间序列叶面积指数LAI(Leaf Area Index)傅里叶变换的谐波特征作为不同作物识别的数据源,利用稀疏表示的分类方法识别2007年—2016年冬小麦、春玉米、夏玉米等主要农作物种植区域。首先利用上包络线Savitzky-Golay滤波分别对2007年—2016年的时间序列MODIS LAI曲线进行重构,进而对重构的年时间序列LAI进行傅里叶变换,以0—5级谐波振幅、1—5级谐波相位作为作物识别的依据,基于各类地物的训练样本,通过在线字典学习算法构建稀疏表示方法的判别字典,对每个待测样本利用正交匹配追踪算法求解稀疏系数,从而计算对应于各类地物的重构误差,根据最小重构误差判定待测样本的作物类型,并对作物识别结果的位置精度进行验证。结果表明,2007年—2016年作物识别的总体精度为77.97%,Kappa系数为0.74,表明本文提出的方法可以用于研究区域主要作物种植区域的提取。     

长江口邻近海域夏季底栖纤毛虫的多样性与群落结构特点

采用Ludox-QPS方法,研究了2011年8月采自长江口邻近海域9个站位沉积物中纤毛虫的群落结构及分布特点,并结合沉积环境进行综合分析。结果表明,表层8cm沉积物中底栖纤毛虫的平均丰度为(2782±1493)cells/10cm2,生物量为(10.06±6.41)μgC/10cm2。长江口海域北部站位的丰度和生物量呈从近岸向外海增加,南部的站位呈现相反的分布趋势。在垂直分布上, 62%的底栖纤毛虫分布在表层2cm, 12%分布在5—8 cm。本研究共检获纤毛虫106种,隶属于15纲/亚纲, 24目, 69属,前口纲在丰度及生物量上均为最优势类群(丰度占45.5%,生物量占56.4%),核残迹纲在生物量上居第二位。就食性来看,肉食性纤毛虫物种数最多(44种),其丰度和生物量所占比例也最高(40.3%,66.8%),但在长江口外站位(M1站),菌食性纤毛虫为最优势摄食类群。分析表明,研究海域底栖纤毛虫群落结构与底层水盐度最相关。聚类分析结果显示,由于较多量的伪钟虫属(Pseudovorticella)和原领毛虫属(Prototrachelocerca)种类出现导致长江口北部L1站的纤毛虫群落结构不同于其他站位。本研究所获底栖纤毛虫的丰度和生物量较东海离岸海域已有研究结果均高,表层8cm沉积物中纤毛虫的丰度约是上层30m水柱中浮游纤毛虫的116倍,生物量约是后者的150倍。基于目前黄东海有关底栖纤毛虫物种多样性的已有报道,其多样性在长江口离岸海域高于近岸潮间带,且在离岸海域东海低于黄海。     

Inter-comparison of remote sensing platforms for height estimation of mango and avocado tree crowns

To support the adoption of precision agricultural practices in horticultural tree crops, prior research has investigated the relationship between crop vigour (height, canopy density, health) as measured by remote sensing technologies, to fruit quality, yield and pruning requirements. However, few studies have compared the accuracy of different remote sensing technologies for the estimation of tree height. In this study, we evaluated the accuracy, flexibility, aerial coverage and limitations of five techniques to measure the height of two types of horticultural tree crops, mango and avocado trees. Canopy height estimates from Terrestrial Laser Scanning (TLS) were used as a reference dataset against height estimates from Airborne Laser Scanning (ALS) data, WorldView-3 (WV-3) stereo imagery, Unmanned Aerial Vehicle (UAV) based RGB and multi-spectral imagery, and field measurements. Overall, imagery obtained from the UAV platform were found to provide tree height measurement comparable to that from the TLS (R² = 0.89, RMSE = 0.19 m and rRMSE = 5.37 % for mango trees; R² = 0.81, RMSE = 0.42 m and rRMSE = 4.75 % for avocado trees), although coverage area is limited to 1–10 km² due to battery life and line-of-sight flight regulations. The ALS data also achieved reasonable accuracy for both mango and avocado trees (R² = 0.67, RMSE = 0.24 m and rRMSE = 7.39 % for mango trees; R² = 0.63, RMSE = 0.43 m and rRMSE = 5.04 % for avocado trees), providing both optimal point density and flight altitude, and therefore offers an effective platform for large areas (10 km²–100 km²). However, cost and availability of ALS data is a consideration. WV-3 stereo imagery produced the lowest accuracies for both tree crops (R² = 0.50, RMSE = 0.84 m and rRMSE = 32.64 % for mango trees; R² = 0.45, RMSE = 0.74 m and rRMSE = 8.51 % for avocado trees) when compared to other remote sensing platforms, but may still present a viable option due to cost and commercial availability when large area coverage is required. This research provides industries and growers with valuable information on how to select the most appropriate approach and the optimal parameters for each remote sensing platform to assess canopy height for mango and avocado trees.     

大气水—地表水—土壤水—地下水相互转化关系的试验研究

本文重点研究了有作物条件下不同供水农田的“四水”相互转化,突出了有作物条件下降水入渗、潜水蒸发的差异性,土壤水在农业生态环境中的重要性,为水资源多目标开发,探索新路子。     

区域化探资料在提高农作物产量上的应用成果

1991年,利用冀东地区已有1:20万区域化探资料,进行了在农业中的开发应用研究,在此基础上,选择区内微量营养元素和有益元素缺乏区,开展了增施微量元素Zn、Mn、Mo、B和Co肥料提高水稻、玉米、花生和苹果产量的应用研究。试验结果表明,增施微肥后,水稻、玉米、花生产量提高,平均增产10%以上,亩增收入平均40元以上,苹果增产30%以上,亩增收入大于1000元,增产效果和经济效益是明显的。这项成果如在整个冀东地区推广,其经济效益将是巨大的。