Progress in the ecology and conservation of giant pandas

Giant panda (Ailuropoda melanoleuca) conservation is a possible success story in the making. If extinction of this iconic endangered species can be avoided, the species will become a showcase program for the Chinese government and its collaborators. We reviewed the major advancements in ecological science for the giant panda, examining how these advancements have contributed to panda conservation. Pandas’ morphological and behavioral adaptations to a diet of bamboo, which bear strong influence on movement ecology, have been well studied, providing knowledge to guide management actions ranging from reserve design to climate change mitigation. Foraging ecology has also provided essential information used in the creation of landscape models of panda habitat. Because habitat loss and fragmentation are major drivers of the panda population decline, efforts have been made to help identify core habitat areas, establish where habitat corridors are needed, and prioritize areas for protection and restoration. Thus, habitat models have provided guidance for the Chinese governments’ creation of 67 protected areas. Behavioral research has revealed a complex and efficient communication system and documented the need for protection of habitat that serves as a communication platform for bringing the sexes together for mating. Further research shows that den sites in old‐growth forests may be a limiting resource, indicating potential value in providing alternative den sites for rearing offspring. Advancements in molecular ecology have been revolutionary and have been applied to population census, determining population structure and genetic diversity, evaluating connectivity following habitat fragmentation, and understanding dispersal patterns. These advancements form a foundation for increasing the application of adaptive management approaches to move panda conservation forward more rapidly. Although the Chinese government has made great progress in setting aside protected areas, future emphasis will be improved management of pandas and their habitat.     

基于水质水量的城镇污水处理厂工艺运行稳定性研究

采用四川省2座位于不同排水服务区域的城镇污水处理厂的样本数据,统计分析了日处理水量,COD、TN、TP浓度及负荷和C/N、C/P等统计量的累积频率分布规律,并分析了各统计量的分布特征对工艺运行稳定性的影响。结果表明,污水处理厂A进水污染物负荷的累积频率分布范围较大,其采用的周期循环活性污泥(CASS)工艺基本能适应进水水质的随机变化,但因存在碳源随机性不足情况,可能导致其脱氮稳定性降低;污水处理厂B进水污染物负荷的累积频率分布范围较小,虽然其采用的厌氧—缺氧—好氧(A2/O)工艺的调控能力较低,但也基本能适应其服务区域内进水水质的随机变化;2座污水处理厂的日处理水量累积频率分布与污染物浓度及负荷的累积频率分布之间均存在显著的差异,日处理水量的累积频率分布比较集中,而污染物浓度及负荷的累积频率分布的离散范围较大,这也潜在威胁到工艺运行的稳定性。总体来看,2座污水处理厂的处理工艺选择恰当,均能较好适应其服务区域的进水水质和水量的要求。     

Driver’s mental workload prediction model based on physiological indices

Developing an early warning model to predict the driver’s mental workload (MWL) is critical and helpful, especially for new or less experienced drivers. The present study aims to investigate the correlation between new drivers’ MWL and their work performance, regarding the number of errors. Additionally, the group method of data handling is used to establish the driver’s MWL predictive model based on subjective rating (NASA task load index [NASA-TLX]) and six physiological indices. The results indicate that the NASA-TLX and the number of errors are positively correlated, and the predictive model shows the validity of the proposed model with an R² value of 0.745. The proposed model is expected to provide a reference value for the new drivers of their MWL by providing the physiological indices, and the driving lesson plans can be proposed to sustain an appropriate MWL as well as improve the driver’s work performance.     

绿黄隆在麦茬土壤中的残留及其对后茬水稻的影响

应用核素示踪技术，以１４Ｃ－绿黄隆进行麦茬土壤残留及其对后茬水稻影响的盆栽试验研究。结果表明，施于麦地的绿黄隆经过麦季（２０６ｄ）后有２５％～３０％残留于土壤；经过麦－稻两季（３２６ｄ）后仍有约１５％的绿黄隆残留在土壤中；麦茬土壤中残留的绿黄隆严重影响后茬水稻根系生长，进而影响植株的生长发育；水稻植株残留量和转移系数是根系＞＞茎叶＞稻谷，在各部位的分布是不均匀的。     

农田土壤固碳作用对温室气体减排的影响

温室气体排放引起的全球气候变暖和平流层臭氧空洞已成为当前人们关注的环境问题之一。土壤碳库作为地表生态系统中最活跃的碳库之一,是甲烷、二氧化碳、一氧化二氮等温室气体的重要释放源,也是重要的吸收汇。因此,寻找农田土壤系统碳管理的有效方法已经成为缓解温室效应的重要科学问题。西方发达国家已将固碳农业作为环境管理的重要导向,应用颗粒分组13CNMR或CPMAS-NMR技术对土壤碳固定的机制研究指出微团聚体与矿物-粘粒复合体的相互作用是土壤有机碳稳定存在的主要方式,揭示了土壤有机碳的腐殖质转化及其与土壤矿物、金属氧化物结合的微观水平,且从土壤物理结构、化学组成和生物学特性等多学科交叉研究土壤有机碳的固定机理及其稳定机制。长期传统的土地利用方式和管理措施所导致的土壤有机碳含量、密度及垂直分布的变化是造成土壤碳库损失的主要原因,为了增加农业生态系统土壤有机碳的含量,土地利用方式和农业管理措施应该从增加有机碳输入量和减少有机碳矿化两方面着手,加强对农业土壤固碳潜力和土壤碳库稳定性影响因素的多角度研究。     

垃圾堆肥在北方潮土地区的农用研究

研究结果表明：垃圾堆肥具有促进作物增产的作用，并不会引起重金属污染。但在北方潮土地区，垃圾肥施用量以４０～５０ｔ·ｈｍ－２·茬－１为宜。过量施用垃圾肥不仅会引起施肥经济效益明显降低，且会引起土壤砂化。研究还表明，粘质土壤对垃圾肥有更大的容纳量。     

水生细菌对原生动物的反捕食对策

The research progress in the defense strategies of aquatic bacteria to protozoa was reviewed in this paper, Aquatic bacteria can reduce or avoid grazing mortality from protozoa through changing size or shape, reducing cell surface hydrophobieity, reducing mobility or searching refuges. It is the main trends of the field in the future to study the coevolution mode of aquatic bacteria and protozoa. Ref 47     

广西柳城县农业生态环境的定量评价

建立了包括生态资源、人类驱动和系统响应3方面17个指标在内的农业生态环境定量评价指标体系,结合广西柳城县的实际情况,运用模糊综合评价模型,对当地农业生态环境进行定量评价。结果表明,柳城县农业生态环境质量属于一般水平,当地自然生态条件较好,虽受人类活动影响较大,但生态系统运行依然正常。该评价结果与当地实际情况相符,表明该评价指标体系具有较强的科学性和实用性。依据评价结果,提出了改善柳城县农业生态环境的对策和建议。     

快速渗滤土地处理系统对城市生活污水中N、P去除的优化研究

为了探索城市生活污水中N、P去除，在实验室内采用混合土为介质，以均匀设计原理为指导，进行模拟人工快速渗滤系统对城市生活污水中N、P的去除。研究不同介质配比，淹水时间，湿干比3种因素组合对污水处理的最优运行模式。试验结果表明：通过选取混合土为介质及以上3个参数是可行的；通过回归统计得出最优模型。