全球变化对跨境淡水资源利用和管理的影响

跨境淡水资源的合理利用和协调管理,已成为当今国际区域经济发展、跨境资源和市场共享、世界生态维护的合作主题,成为下世纪制约区域可持续发展和避免地区冲突的一个关键因素,受到国际社会广泛关注。从边界变化、国际区域合作和经济一体化、气候变化、人口增长、可持续发展等全球趋势对此主题的影响进行了探讨。     

Linking Russia with the European and global greenhouse gas emissions trading markets: three paths for greening the Russian assigned amount under the Kyoto Protocol

This article examines possibilities for linkage between the European Union Emissions Trading System (EU ETS) and Russia, with a view to enhancing cooperation on a broader scale than the project-based approaches that have been tested thus far. Three paths for possible EU-Russia linkage are presented by which the Russian Assigned Amount under the Kyoto Protocol can be greened in order to stimulate emissions trading: 1. Joint implementation—reductions earned via individual projects in Russia; 2. Greened allowances or green investment schemes; and 3. Linked cap-and-trade systems, in which a Russian domestic emissions trading system would link with the European Union Emissions Trading System. The authors conclude that the third option, emissions trading through linked domestic emissions trading systems, offers the best opportunities at the lowest transaction costs. The authors discuss useful innovative instruments like call options and slip level arrangements on government-to-government and business-to-business levels.

2013年成都财富论坛期间空气质量状况分析研究

利用2013年5月20日-6月20日成都市区7个环境质量监测站点可吸入颗粒物(PM₁₀)、细颗粒物(PM_2.5)、SO₂、NO₂、CO和臭氧的实测资料及地面气象观测资料,对成都举办财富全球论坛期间及前后的空气质量变化特征和成因进行分析.结果表明,由于市政府采取交通管制措施,使机动车尾气排放的NO₂浓度与财富论坛前后相比降幅达27.2%;财富论坛期间臭氧前体物质浓度的降低,使地面臭氧日均浓度在相同太阳日辐射值下与财富论坛前后相比较低;对城区扬尘控制和周边重污染企业限产停产,分别对PM₁₀和SO₂的排放起到了明显的削减作用;后向轨迹分析表明市区SO₂浓度累积与来自东南部低空的气团有关.当相对湿度小于60%时颗粒物容易吸湿增长,而当相对湿度大于60%时降雨概率增大,颗粒物容易被清除.综合分析,成都市区财富论坛期间空气质量改善是政府减排举措的有效实施和较好的气象条件共同作用的结果.     

流域计算机集成模型系统及其在水库流域水质规划中的应用

随着社会的发展,流域中出现了新的问题和特征,流域规划和管理越来越复杂,传统的方法和工具已不能充分满足流域规划和管理的需要．因此本文以开放复杂巨系统研究方法论为指导,提出了流域计算机集成模型系统的概念,探讨了其构成和结构．指出该系统应是专家系统、地理信息系统、遥感、全球定位系统、数据库技术、数学模拟和优化等多技术综合集成的系统．最后对其在水库流域水质规划中的应用进行了初步的探讨．     

The relevance of James Lovelock’s research and philosophy to environmental science and academia

James E. Lovelock, famed for his Gaia hypothesis, which views the Earth as a living integrated and interconnected self-regulating system whose equilibrium comes about from complex energy-based interactions and feedback loops, ultimately sustaining life, passed away at the end of July, 2022 at the age of 103. Not only are the adaptive mechanisms of Gaia central to the conversation of environmental homeostasis, they lie at the heart of climate change and global warming. Lovelock is also remembered as the co-inventor of the electron capture detector that eventually allowed for the sensitive detection of chlorofluorocarbons and pesticides. Finally, Lovelock’s free-spirited nature and research independence allow academia to rethink current research’s modus operandi.     

全球环境问题和我国的原则立场

目前全球气候变化、臭氧层破坏等生态环境问题,以及治理和保护环境问题,已成为各国政府和人民的共同认识和要求。本文阐述了发达国家和发展中国家在保护环境重大问题上的合作与分岐,以及我国对解决全球环境问题的基本原则。     

Effects of temperature variation on TSD in turtle (C. picta) populations

We formulate a two-sex model of temperature-dependent sex determination (TSD) for a freshwater turtle (C. picta) population. The aim is to understand how environmental temperature variations and nest heat conduction properties affect the long term dynamics of the population. This is a key to understanding how global temperature changes may affect their survival. With stochastic inputs of ambient temperature and solar radiation, the model uses the heat equation to determine the temperature in the egg layer in the nest; in turn, this determines the sex ratio in the egg clutch using a variable degree-day model. Finally, a nonlinear Leslie type, stage-based, two-sex model, is used to determine the long term male and female populations. A two-sex model is required because of different development rates for males and females. The model is flexible enough to enable other researchers to examine the effects of temperature variation variations on other species with TSD, e.g., crocodilians, reptilians, as well as other turtle species. It can be adapted to study effects of nest location, soil type, rain events, different incubation periods, and density effects, for example, the dependence of the mating function on the ratio of males to females and each’s contribution to the sex of hatchlings. Modifications can be easily made to fit a specific life history traits. The model is a beginning step in understanding the long term, high fitness shown by many reptile species with TSD, and it may suggest to experimentalists what data may be relevant to these issues; it can also be useful to wildlife managers in developing strategies for intervention if needed. Among the principal findings are that temperature variability and detailed nest heat conduction properties may buffer projected negative effects on a population.     

Modelling forest management within a global vegetation model—Part 1: Model structure and general behaviour

This article describes a new forest management module (FMM) that explicitly simulates forest stand growth and management within a process-based global vegetation model (GVM) called ORCHIDEE. The net primary productivity simulated by ORCHIDEE is used as an input to the FMM. The FMM then calculates stand and management characteristics such as stand density, tree size distribution, tree growth, the timing and intensity of thinnings and clear-cuts, wood extraction and litter generated after thinning. Some of these variables are then fed back to ORCHIDEE. These computations are made possible with a distribution-based modelling of individual tree size. The model derives natural mortality from the relative density index (rdi), a competition index based on tree size and stand density. Based on the common forestry management principle of avoiding natural mortality, a set of rules is defined to calculate the recurrent intensity and frequency of forestry operations during the stand lifetime. The new-coupled model is called ORCHIDEE-FM (forest management).The general behaviour of ORCHIDEE-FM is analysed for a broadleaf forest in north-eastern France. Flux simulation throughout a forest rotation compare well with the literature values, both in absolute values and dynamics.Results from ORCHIDEE-FM highlight the impact of forest management on ecosystem C-cycling, both in terms of carbon fluxes and stocks. In particular, the average net ecosystem productivity (NEP) of 225 gC m⁻² year⁻¹ is close to the biome average of 311 gC m⁻² year⁻¹. The NEP of the “unmanaged” case is 40% lower, leading us to conclude that management explains 40% of the cumulated carbon sink over 150 years. A sensitivity analysis reveals 4 major avenues for improvement: a better determination of initial conditions, an improved allocation scheme to explain age-related decline in productivity, and an increased specificity of both the self-thinning curve and the biomass-diameter allometry.     

Analysis of the global warming dynamics from temperature time series

Global warming is the observed increase of the average temperature of the Earth. The primary cause of this phenomenon is the release of the greenhouse gases by burning of fossil fuels, land cleaning, agriculture, among others, leading to the increase of the so-called greenhouse effect. An approach to deal with this important problem is the time series analysis. In this regard, different techniques can be applied to evaluate the global warming dynamics. This kind of analysis allows one to make better predictions increasing our comprehension of the phenomenon. This article applies nonlinear tools to analyze temperature time series establishing state space reconstruction and prediction. Since noise contamination is unavoidable in data acquisition, it is important to employ robust techniques. The method of delay coordinates is employed for state space reconstruction and delay parameters are evaluated using the method of average mutual information and the method of false nearest neighbors. Afterwards, the simple nonlinear prediction method is employed to estimate temperatures of the future. Temperature time series from different places of the planet are used. Initially, the approach is verified considering known parts of the time series and afterwards, results are extrapolated for future values estimating temperature until 2028. Results show that these techniques are interesting to estimate temperature time history, presenting coherent estimations.     

What are the barriers to successful community-based climate change adaptation? A review of grey literature

ABSTRACT

Across the Global South, community-based adaptation (CBA) projects are increasingly being implemented in an effort to respond effectively and sustainably to the impacts of climate change, with a particular focus on people’s livelihoods. Despite an increase in the number of CBA projects being implemented, detailed analysis and evaluation of their efficacy and the barriers faced in achieving successful outcomes is lacking. This study draws on an analysis of grey literature (i.e. project and donor reports) to explore the barriers faced in achieving effective CBA. An extensive global search of online project evaluations yielded 25 documents comprising 69 projects from which this analysis is based. This paper first presents an overview of the 69 projects and highlights any trends. Second, this paper describes the barriers to CBA according to three broad themes: socio-political, resource, and physical systems and processes. Following this is a discussion of the most prevalent barriers: cognitive and behavioural, financial, and human resources. Third, this paper discusses the key findings elucidated from this review. This includes the need for greater sharing of project reports and findings so lessons can be learned across spatial and temporal scales, and the disparity between critical academic literature on CBA and what is implemented in practice.