自然生态系统中含硫气体的产生机理与环境归趋

基于当前可获得的与该课题相关的资料 ,本文综述了陆地生态系统产生挥发性含硫气体的微观和宏观机理过程。讨论了控制生物硫气体产生的环境因素。阐述了含硫气体释放进入大气后的环境归趋     

A stochastic model for estimating sustainable limits to wildlife mortality in a changing world

Human-caused mortality of wildlife is a pervasive threat to biodiversity. Assessing the population-level impact of fisheries bycatch and other human-caused mortality of wildlife has typically relied upon deterministic methods. However, population declines are often accelerated by stochastic factors that are not accounted for in such conventional methods. Building on the widely applied potential biological removal (PBR) equation, we devised a new population modeling approach for estimating sustainable limits to human-caused mortality and applied it in a case study of bottlenose dolphins affected by capture in an Australian demersal otter trawl fishery. Our approach, termed sustainable anthropogenic mortality in stochastic environments (SAMSE), incorporates environmental and demographic stochasticity, including the dependency of offspring on their mothers. The SAMSE limit is the maximum number of individuals that can be removed without causing negative stochastic population growth. We calculated a PBR of 16.2 dolphins per year based on the best abundance estimate available. In contrast, the SAMSE model indicated that only 2.3–8.0 dolphins could be removed annually without causing a population decline in a stochastic environment. These results suggest that reported bycatch rates are unsustainable in the long term, unless reproductive rates are consistently higher than average. The difference between the deterministic PBR calculation and the SAMSE limits showed that deterministic approaches may underestimate the true impact of human-caused mortality of wildlife. This highlights the importance of integrating stochasticity when evaluating the impact of bycatch or other human-caused mortality on wildlife, such as hunting, lethal control measures, and wind turbine collisions. Although population viability analysis (PVA) has been used to evaluate the impact of human-caused mortality, SAMSE represents a novel PVA framework that incorporates stochasticity for estimating acceptable levels of human-caused mortality. It offers a broadly applicable, stochastic addition to the demographic toolbox to evaluate the impact of human-caused mortality on wildlife.     

食品生产企业员工安全行为影响因素研究

为研究食品生产企业员工安全行为的影响因素,本文基于安全领导力、安全氛围、个体认知等方面对员工安全行为的重要影响作用,研究上述各维度对安全行为的影响,结果表明:可感知的安全领导力、良好的安全氛围及对安全的个体认知情况,均会促进员工主动安全行为的产生,且安全领导力对安全行为的影响作用最大,其次是个体认知,再次是安全氛围;安全氛围会抑制员工安全道德行为的产生,个体认知会抑制员工自律守纪行为的产生。     

中国区域性耕地变化与粮食生产的关系研究——以东北地区为例

以东北地区为例,结合监测数据和农业统计数据,利用GIS技术分别开展耕地数量变化对粮播面积的影响分析、高中低产田内部各县粮食单产变化趋势分析、高中低产田内部耕地数量变化对粮食总产的影响以及粮食作物种植结构变化对粮食生产能力的影响评价与分析。结果表明:①东北地区耕地数量增加了188.8×10⁴hm²,总体呈北增南减趋势;②粮播面积增加了162.67×10⁴hm²,高产区的粮食单产多呈上升趋势,中产区的粮食单产稳中有升,低产区各县的粮食单产有增有减,但多数仍呈上升趋势;③高产田的粮食单产和低产田作物种植面积扩大促进了东北地区粮食总产的增加;④东北地区玉米生产进一步向吉林省集中,大豆、水稻、小麦向黑龙江集中,粮食生产的专业化、区域化趋势明显。     

Assessing the impact of biological control of Plutella xylostella through the application of Lotka–Volterra model

The Lotka–Volterra model was applied to the population densities of diamondback moth (DBM), Plutella xylostella (L.) and its exotic larval parasitoid Diadegma semiclausum (Hellen) data that was collected earlier by icipe's DBM biological control team. The collections were done for 15 months before the release and 36 months after release of the parasitoid in two areas; in Werugha, Coast Province of Kenya and Tharuni, Central Province of Kenya, respectively. For each area in pre- and post-release periods, we estimated Lotka–Volterra model parameters from the minimization of the loss function between the theoretical and experimental time-series datasets following the Nelder-Mead multidimensional method. The model estimated a reduction in the value of the steady state of DBM population from 4.86 to 2.17 in Werugha and from 6.11 to 3.76 and 3.45 (with and without exclusion of the time before D. semiclausum recovery) in Tharuni when transiting from the pre- and post-release periods, respectively. This change was a consequence of the newly introduced parasitoid, in the areas. The study presented a successful and detailed technique for non-linear model parameters restoration which was demonstrated by the correct mimicking of empirical datasets from the classical biological control with D. semiclausum, in different areas of Kenya. The applied model has measured the parasitoids impact on the DBM biological control through a quantitative estimate of the effectiveness of the newly introduced species D. semiclausum. These equations may therefore be used as tool for decision making in the implementation for such pests’ management system strategy.     

Role of competition in phytoplankton population for the occurrence and control of plankton bloom in the presence of environmental fluctuations

Termination of harmful algal blooms (HABs) and coexistence of phytoplankton–zooplankton populations are of great importance to human health, ecosystem, environment, tourism and fisheries. In this paper, we propose a three component model consisting of non-toxic phytoplankton (NTP), toxin producing phytoplankton (TPP) and zooplankton (Z). The growth of zooplankton species is assume to reduce due to toxic chemicals released by TPP population. We have extended the model proposed by Chattopadhyay et al. [Chattopadhyay, J., Sarkar, R.R., Pal, S., 2004. Mathematical modelling of harmful algal blooms supported by experimental findings. Ecol. Comp. 1, 225–235] by including competition terms between TPP and NTP. We observe the effect of competition factors both in the presence and absence of the environmental fluctuation. From our field as well as model analysis we observe that competition helps in the coexistence of the species, but if the effect of competition is very high on the TPP population, it results in planktonic bloom. It is shown that the coexistence equilibrium loses its stability when the competition coefficient crosses a critical value and resulting Hopf-bifurcation around the positive equilibrium depicting oscillations phenomena of the populations.     

Biofuel Plantations on Forested Lands: Double Jeopardy for Biodiversity and Climate

Abstract: The growing demand for biofuels is promoting the expansion of a number of agricultural commodities, including oil palm (Elaeis guineensis). Oil‐palm plantations cover over 13 million ha, primarily in Southeast Asia, where they have directly or indirectly replaced tropical rainforest. We explored the impact of the spread of oil‐palm plantations on greenhouse gas emission and biodiversity. We assessed changes in carbon stocks with changing land use and compared this with the amount of fossil‐fuel carbon emission avoided through its replacement by biofuel carbon. We estimated it would take between 75 and 93 years for the carbon emissions saved through use of biofuel to compensate for the carbon lost through forest conversion, depending on how the forest was cleared. If the original habitat was peatland, carbon balance would take more than 600 years. Conversely, planting oil palms on degraded grassland would lead to a net removal of carbon within 10 years. These estimates have associated uncertainty, but their magnitude and relative proportions seem credible. We carried out a meta‐analysis of published faunal studies that compared forest with oil palm. We found that plantations supported species‐poor communities containing few forest species. Because no published data on flora were available, we present results from our sampling of plants in oil palm and forest plots in Indonesia. Although the species richness of pteridophytes was higher in plantations, they held few forest species. Trees, lianas, epiphytic orchids, and indigenous palms were wholly absent from oil‐palm plantations. The majority of individual plants and animals in oil‐palm plantations belonged to a small number of generalist species of low conservation concern. As countries strive to meet obligations to reduce carbon emissions under one international agreement (Kyoto Protocol), they may not only fail to meet their obligations under another (Convention on Biological Diversity) but may actually hasten global climate change. Reducing deforestation is likely to represent a more effective climate‐change mitigation strategy than converting forest for biofuel production, and it may help nations meet their international commitments to reduce biodiversity loss.     

催化湿式氧化乐果农药废水及催化剂的研究

通过共沉淀法制备了用于湿式氧化乐果农药废水的Cu/Mn复合氧化物催化剂,研究了沉淀剂种类、沉淀温度、焙烧温度和活性组分配比等因素对Cu/Mn复合氧化物催化剂的活性及稳定性的影响,确定了最佳制备条件,利用BET比表面积测定和XRD对催化剂进行了表征。结果表明:优化条件制备的Cu/Mn复合氧化物催化剂催化湿式过氧化氢氧化处理乐果农药废水时,具有较高的催化活性和稳定性。催化剂用量以6 g/L,反应温度80℃,过氧化氢加入量为12.0 g/L,反应时间60 min,COD去除率为89.5%,活性组分溶出量较小。     

Invasion with stage-structured coupled map lattices: Application to the spread of scentless chamomile

Two fundamental aspects of invasion dynamics are population growth and population spread. These quantities have been subject of study in biological invasions and can be used to study management and control of organisms. In this paper we derive formulae to calculate wave speed and rates of spread for coupled map lattices. Coupled map lattice models are dynamical models where space and time are discrete. We also show how wave speed and rate of spread can be calculated for structured population coupled map lattices in deterministic, stochastic environments and heterogeneous landscapes. Coupled map lattices are simple mathematical models that can be easily linked to landscape data to study invading organisms control strategies.     

农业合作生产对华北农牧交错区水资源存量和经济效益的影响

针对华北农牧交错区错季蔬菜生产对水资源消耗的争议,通过试验和调查研究相结合的方法,研究了农业“生产－消费”合作生产背景下区域发展错季蔬菜的耗水效果及其对农民收入、水资源存量的影响。结果表明,错季蔬菜生产田间耗水量为农区粮食作物的31.3%~93.3%,而水资源价值为农区粮食作物的4.2~10.7倍;与区域内粮油作物生产相比,错季蔬菜生产少耗水330~754m³/hm²,且其水资源价值为粮油作物的4.0~13.9倍。通过实施粮－菜交换的市场农业战略,区域能用0.175~0.196m³的水交易获得外区域1 m³的水资源,并且实现了研究区用0.93hm²的菜地解决发展错季蔬菜前需要6.9~13.8hm²耕地才能解决的粮食问题。调查表明,通过高效地输出水资源,区域农民收入仅蔬菜一项比全国同期农村人均收入高出了23%。故华北农牧交错区发展错季蔬菜生产是节约和扩大本区域的水资源存量,促进农村脱贫致富、自我发展的有效途径。