农田土壤温室气体产生机制及影响因素研究进展

农田土壤通过微生物呼吸、植物根系呼吸和土壤动物呼吸,释放大量温室气体,成为大气中主要温室气体(CO2、CH4和N2O)的重要来源.文章在阐述土壤温室气体产生机制的基础上,着重从土壤生物、土壤理化性质(主要包括温湿度、有机质、pH、Eh、土壤质地等)、水肥管理及耕作措施等角度对农田土壤温室气体释放的影响进行了综述,对土壤温室气体的减排措施进行了总结,并就今后农田土壤温室气体的研究重点和方向进行了展望.     

河流氧化亚氮产生和排放研究综述

氧化亚氮(N2O)是仅次于二氧化碳(CO2)和甲烷(CH4)的重要温室气体.由于人类活动对土地的影响导致河流系统中氮的可利用性增加,河流生态系统的N2O排放量正日益增长.本文对国内外河流水体N2O溶存浓度和饱和度、水-气界面排放通量及沉积物-水界面交换通量等数据进行了收集,并总结和分析了河流生态系统中N2O的产生机制及主要影响因子.     

Assessing ecological function in the context of species recovery

Species interactions matter to conservation. Setting an ambitious recovery target for a species requires considering the size, density, and demographic structure of its populations such that they fulfill the interactions, roles, and functions of the species in the ecosystems in which they are embedded. A recently proposed framework for an International Union for Conservation of Nature Green List of Species formalizes this requirement by defining a fully recovered species in terms of representation, viability, and functionality. Defining and quantifying ecological function from the viewpoint of species recovery is challenging in concept and application, but also an opportunity to insert ecological theory into conservation practice. We propose 2 complementary approaches to assessing a species’ ecological functions: confirmation (listing interactions of the species, identifying ecological processes and other species involved in these interactions, and quantifying the extent to which the species contributes to the identified ecological process) and elimination (inferring functionality by ruling out symptoms of reduced functionality, analogous to the red-list approach that focuses on symptoms of reduced viability). Despite the challenges, incorporation of functionality into species recovery planning is possible in most cases and it is essential to a conservation vision that goes beyond preventing extinctions and aims to restore a species to levels beyond what is required for its viability. This vision focuses on conservation and recovery at the species level and sees species as embedded in ecosystems, influencing and being influenced by the processes in those ecosystems. Thus, it connects and integrates conservation at the species and ecosystem levels.     

Policy relevance of three integrated assessment tools—A comparison with specific reference to agricultural policies

The Common Agricultural Policy (CAP), a system of market support instruments, direct income transfers, and rural development measures, has been put through an ongoing reform process in recent decades. This paper introduces three policy impact assessment tools (SIAT, SEAMLESS-IF, MEA-Scope tool) and analyses how these tools have responded to a number of challenges for integrated assessment modelling as reported in the international literature. Significant progress has been made with regard to modelling linkages whereas other challenges, particularly those related to issues of scale and uncertainty management, require further efforts. It is also analysed which CAP instruments are represented and what kinds of effects can be analysed at different scales. Market instruments and direct payments are comparatively well represented, while the ability to model rural development measures is mostly beyond the scope of these tools. Because each tool has found a different solution for coping with the common challenges of integrated assessment modelling, the choice of one of the tools for a particular application depends strongly on the policy questions being asked. The SIAT provides the big picture via its ability to represent broad changes in policy instruments with EU-wide cross-sector impacts. The most comprehensive analysis of agricultural policy instruments can be obtained with SEAMLESS-IF. The MEA-Scope tool complements the other two approaches with detailed regional profiles.     

How humans shape wolf behavior in Banff and Kootenay National Parks, Canada

This paper describes the conceptualization and implementation of an agent-based model to investigate how varying levels of human presence could affect elements of wolf behavior, including highway crossings; use of areas in proximity to roads and trails; size of home ranges; activities, such as hunting, patrolling, resting, and feeding pups; and survival of individuals in Banff and Kootenay National Parks, Canada. The model consists of a wolf module as the primary component with five packs represented as cognitive agents, and grizzly bear, elk, and human modules that represent dynamic components of the environment. A set of environmental data layers was used to develop a friction model that serves as a base map representing the landscape over which wolves moved. A decision model was built to simulate the sequence of wolf activities. The model was implemented in a Java Programming Language using RePast, an agent-based modeling library. Six months of wolf activities were simulated from April 16 to October 15 (i.e., a season coherent with regard to known wolf behaviors), and calibrated with GPS data from wolf radiocollars (n = 15) deployed from 2002 to 2004. Results showed that the simulated trajectories of wolf movements were correlated with the observed trajectories (Spearman's rho 0.566, P < 0.001); other critical behaviors, such as time spent at the den and not traveling were also correlated. The simulations revealed that wolf movements and behaviors were noticeably affected by the intensity of human presence. The packs’ home ranges shrank and wolves crossed highways less frequently with increased human presence. In an extreme example, a wolf pack whose home range is traversed by a high-traffic-volume highway was extirpated due to inability to hunt successfully under a scenario wherein human presence levels were increased 10-fold. The modeling prototype developed in this study may serve as a tool to test hypotheses about human effects on wolves and on other mammals, and guide decision-makers in designing management strategies that minimize impacts on wolves and on other species functionally related to wolves in the ecosystem.     

区域农田生态系统生产力的时空格局及其影响因子研究——以山东省为例

在统计数据的基础上,以山东省为例,利用模型量化了农田生态系统净初级生产力（NPP）,并研究了农田生态系统NPP的时空格局及其影响因素。研究发现,2000—2006年间,山东省农田生态系统NPP在时间序列上整体呈上升的趋势,由2000年的476.5g·m-2·a-1（以C计）上升到2006年的544.2g·m-2·a-1（以C计）。空间格局中以鲁东、鲁中和鲁南较高,鲁西南和鲁北较低。各地市中以枣庄最高,为691g·m-2·a-1（以C计）;东营最低,约424.4g·m-2·a-1（以C计）。另外,莱芜、临沂及菏泽等地也相对偏低。通过对影响农田生态系统NPP的自然因子和人为因子分别进行主成分分析发现：气候因子中对山东省农田生态系统NPP贡献最大的为降水;人为因子中以农膜的贡献最大,其次为农药、机械、化肥,而劳动力的贡献则随着科技的发展而降低,人口密度的过大对农田生态系统生产力具有较大的负面影响。     

Fe0/厌氧微生物联合体系处理2,4,6-三氯酚影响因素的研究

利用Fe⁰/厌氧微生物联合体系对2,4,6-三氯酚(2,4,6-TCP)进行降解研究。结果表明,Fe0/厌氧微生物联合体系可以有效降解2,4,6-TCP,Fe⁰与厌氧微生物之间存在明显的协同效应。Fe⁰/厌氧微生物联合体系处理2,4,6-TCP的最优条件为：微生物接种量0.434 g VSS/L,Fe⁰投加量15 g/L,体系初始pH值7.0～8.0。     

外力作用下管道内表面缺陷处裂纹扩展研究

为提高油气管道安全风险评估的准确性,以含内表面缺陷管道为研究对象,利用ABAQUS软件线弹性及弹塑性分析不同尺寸缺陷对裂纹萌生特征的影响;采用扩展有限元法,建立管道3点弯曲模型与全尺寸静载物理试验,并非线性拟合裂纹扩展尺寸,研究内表面缺陷处裂纹扩展情况.研究结果表明:内表面缺陷中心处极易萌生裂纹,随着缺陷尺寸的增大,裂...     

Toxicological Assessment of Wastewater and Runoff from the Baikal Pulp and Paper Mill

Russian Journal of Ecology -     

Accumulation of Biophilic Elements in the Needles of Picea Species in Natural and Urbanized Ecosystems of Siberia and Central Asia in Relation to the Assessment of Environmental Quality

Variation in the content of N, P, K, Ca, Mg, Na, Cu, Zn, Mn, and Fe has been analyzed in the needles of 19 spruce species growing in the natural and urbanized ecosystems of Siberia and Central Asia. The results have shown that similarity in the content of biophilic elements in one-year-old needles of different species is conditioned by biochemical processes, which confirms the status of these species as passive bioindicators of environmental quality. The contents of trace elements in perennial needles, except color variations of chlorophyll, deserve further study as prospective indicators of environmental quality.