不同利用方式下稻田效益的综合评价

一、引言评价是多目标系统优化和决策的基础。和任何其他农业生态系统一样,稻田生态系统具有多目标、多功能的特点,单项指标难以反映系统的优劣。目前,川东南地区稻田开发利用方式多种多样,但效益评价主要是采用简单的比较分析或粗放的定性描述,尚未形成系统的     

基于Landsat的重庆市生态环境质量动态监测及其时空格局演变分析

长江流域是我国重要的生态屏障之一,重庆市作为长江上游最后一道关口,研究其生态质量发展对于有效保护长江流域生态环境具有重要指导意义。基于2011—2021年间的Landsat影像等数据,计算遥感生态指数(Remote sensing based ecological index, RSEI),并采用Sen(Theil-Sen median)趋势分析法和MK(Mann-Kendall)检验研究其变化趋势以及利用Hurst指数模型分析RSEI的持续特征。利用空间转移矩阵和重心迁移模型研究其在空间上分布特征的变化情况,最后使用降水、风速、近地表气温、海拔等辅助数据为影响因素,结合地理探测器进一步探究RSEI变化驱动力,探讨重庆市2011—2021的RSEI空间分布及演变趋势。结果表明：(1)重庆市多年平均RSEI为0.593,使用等间距法将其划分的等级为差、较差、中等、良、优的面积占比分别为2.48%、8.28%、38.32%、41,87%、9.05%。从整体来看重庆市生态质量水平较高,重庆市年际RSEI以显著趋势波动增长。(2)RSEI等级为差的地区空间上主要集中于重庆西部;较差等级主要围绕...     

重庆维管植物1个新记录属和5个新记录种

通过野外调查、资料查阅及馆藏标本比对,确定了重庆维管植物1个新记录属——水东哥属（Saurauia Willd.）及其新记录种——水东哥（Saurauia tristyla DC.）,另4个维管植物新记录种分别是二褶羊耳蒜（Liparis cathcartii Hook. f.）、莸状黄芩（Scutellaria caryopteroides Hand.-Mazz.）、白鳞酢浆草（Oxalis leucolepis Diels）、包氏凤仙花（Impatiens bodinieri Hook. f.）。文中描述了物种识别特征、标本引证和地理分布,提供了原生境照片。引证标本均收藏于西南大学自然博物馆植物标本室（SWNTU）。     

江津楼梯草, 重庆荨麻科一新种

描述了自重庆南部发现的荨麻科楼梯草一新种,江津楼梯草(Elatostema jiangjinense)。此新种与锐齿楼梯草(E. cyrtandrifolium)近缘,两者的区别在于江津楼梯草的叶在狭侧具2条二级脉,托叶卵形或披针形,以及雄总苞片在顶端具长角状突起。     

重庆岩溶区土壤景观多样性

不同土壤发生类型塑造了异质的景观格局,而土壤类型上不同的土地利用实践又对原有景观格局进行重构。研究的目的是利用景观指数识别重庆岩溶区土壤多样性的景观特征。结果表明：重庆市岩溶区土壤景观多样化和空间异质化程度不高,各景观分布比例不均匀;土壤景观嵌块体呈现复杂的几何形状,黄壤、石灰土和黄棕壤是主要的土壤类型;除山地草甸土以林地和草地,棕壤以林地为主要景观外,其余9种土壤类型都以耕地和林地为主要景观;农、林用地在重庆岩溶区土壤景观空间格局的结构和功能中起主导作用;但因各类土壤性质和分布特点的不同,耕地和林地在各类土壤上的分配比例上存在明显差异;人类活动在诱导耕地嵌块体数急剧增多的同时,居民工矿用地、林地、未利用地嵌块体数目也相应增加;研究可为岩溶区土地利用决策与调控提供科学依据,加深人们对岩溶区土壤多样性的理解。     

中国重庆毛茛科银莲花属一新种——涪陵银莲花

描述了中国重庆市涪陵区的毛莨科Ranunculaceae银莲花属Anemone一新种——涪陵银莲花A．fulingensisW.T．Wang＆Z．Y.Liu,并绘出墨线图。根据此新种的总苞苞片无柄,花具4-5枚萼片,花丝丝形,花粉具散沟等特征,可以确定此种应是属于银莲花属鹅掌草组Anemone sect．Stolonifera的一个成员;在该组中,此种以其独特的由2-10个块茎组成的念珠状根状茎而与该组的其他种相区别。鉴于在银莲花属中块茎出现于不同的演化路线中,以及这些块茎的出现系次生现象,可见此新种应是鹅掌草组的进化种。     

Fruit type,life form and origin determine the success of woody plant invaders in an urban landscape

The spread of alien plant species is a critical ecological event worldwide, but the forces that control this spread are not well documented. Alien plant species are well known to disrupt ecological services of native ecosystems, change the composition of native habitats, and often lead to the extirpation of native flora and fauna. Here, we report on life history patterns of plant species with rapidly spreading and declining ranges in North America’s major urban region. We tested for differences in life history traits between the 466 native and alien woody flora of the New York metropolitan area. We also examined the relationship between life history traits and change in distribution in the New York metropolitan area between 1900 and 2000. Native and alien species of the New York metropolitan area differ with respect to pollination vector and breeding system. However, pollination vector and breeding system are not associated with success, defined here as increasing range spread in the urban environment; instead, fruit type (dispersal), life form and origin are important determinants of success. Alien species that are deciduous trees, shrubs or vines with fleshy fruit are the most successful in increasing their distribution in this urban landscape. Newly introduced species with these characteristics are expected to have a better chance at establishing in similar urban landscapes and should be targets for intensive management. The ability to predict which alien species will become invasive is also a valuable tool for the prevention of invasions by newly introduced plant species.     

基于适应性循环理论与压力-状态-响应框架的区域社会-生态系统演进研究

二十一世纪以来都市圈快速扩张对区域社会-生态系统的可持续发展构成威胁,基于动态演进视角的区域社会-生态系统运行机制解析备受关注。本文以南京都市圈为例,从区域和城市两个尺度,基于适应性循环理论与PSR框架解析2000-2019年近二十年来都市圈社会-生态系统的交互适应循环阶段,以及每个阶段系统的差异化应激响应机制。研究表明南京都市圈社会-生态系统整体经历了3个适应循环周期,现处于新一轮的适应性循环阶段,系统适应性呈上升趋势,但社会子系统和生态子系统尚未取得协调。都市圈内各城市的社会-生态系统演进类型有所不同,可分为稳定增长型、波动增长型、不均衡发展型和生态危机型四类。未来需要采取差异化的社会-生态系统治理策略,确保都市圈整体优化发展。     

The development of a quick-running prediction tool for the assessment of human injury owing to terrorist attack within crowded metropolitan environments

In the aftermath of the London '7/7' attacks in 2005, UK government agencies required the development of a quick-running tool to predict the weapon and injury effects caused by the initiation of a person borne improvised explosive device (PBIED) within crowded metropolitan environments. This prediction tool, termed the HIP (human injury predictor) code, was intended to:--assist the security services to encourage favourable crowd distributions and densities within scenarios of 'sensitivity'; --provide guidance to security engineers concerning the most effective location for protection systems; --inform rescue services as to where, in the case of such an event, individuals with particular injuries will be located; --assist in training medical personnel concerning the scope and types of injuries that would be sustained as a consequence of a particular attack; --assist response planners in determining the types of medical specialists (burns, traumatic amputations, lungs, etc.) required and thus identify the appropriate hospitals to receive the various casualty types. This document describes the algorithms used in the development of this tool, together with the pertinent underpinning physical processes. From its rudimentary beginnings as a simple spreadsheet, the HIP code now has a graphical user interface (GUI) that allows three-dimensional visualization of results and intuitive scenario set-up. The code is underpinned by algorithms that predict the pressure and momentum outputs produced by PBIEDs within open and confined environments, as well as the trajectories of shrapnel deliberately placed within the device to increase injurious effects. Further logic has been implemented to transpose these weapon effects into forms of human injury depending on where individuals are located relative to the PBIED. Each crowd member is subdivided into representative body parts, each of which is assigned an abbreviated injury score after a particular calculation cycle. The injury levels of each affected body part are then summated and a triage state assigned for each individual crowd member based on the criteria specified within the 'injury scoring system'. To attain a comprehensive picture of a particular event, it is important that a number of simulations, using what is substantively the same scenario, are undertaken with natural variation being applied to the crowd distributions and the PBIED output. Accurate mathematical representation of such complex phenomena is challenging, particularly as the code must be quick-running to be of use to the stakeholder community. In addition to discussing the background and motivation for the algorithm and GUI development, this document also discusses the steps taken to validate the tool and the plans for further functionality implementation.