Using multistate mark-recapture methods to model adult salmonid migration in an industrialized river

A multistate mark-recapture (MSMR) model of the adult salmonid migration through the lower Columbia River and into the Snake River was developed, designed for radiotelemetry detections at dams and tributary mouths. The model focuses on upstream-directed travel, with states determined from observed fish movement patterns indicating directed upstream travel, downstream travel (fallback), and use of non-natal tributaries. The model was used to analyze telemetry data from 846 migrating adult spring-summer Chinook salmon (Oncorhynchus tshawytscha) tagged in 1996 at Bonneville Dam on the Columbia River. We used the model to test competing hypotheses regarding delayed effects of fallback at dams and visits to tributaries, and to define and estimate migration summary measures. Tagged fish had an average probability of 0.755 () of ending migration at a tributary or upstream of Lower Granite Dam on the Snake River, and a probability of 0.245 () of unaccountable loss (i.e., mortality or mainstem spawning) between the release site downstream of Bonneville Dam and Lower Granite Dam. The highest probability of unaccountable loss (0.092; ) was in the reach between Bonneville Dam and The Dalles Dam. Study fish used the tributaries primarily as exits from the hydrosystem, and visits to non-natal tributaries had no significant effect on subsequent movement upriver (P = 0.4245). However, fallback behavior had a small effect on subsequent tributary entry and exit (P = 0.0530), with fish using tributaries as resting areas after reascending Bonneville Dam after fallback. The spatial MSMR model developed here can be adapted to address additional questions about the interaction of migrating organisms with their environment, or for the study of migrations in other river systems.     

Evaluating the ecological benefits of wildfire by integrating fire and ecosystem simulation models

Fire managers are now realizing that wildfires can be beneficial because they can reduce hazardous fuels and restore fire-dominated ecosystems. A software tool that assesses potential beneficial and detrimental ecological effects from wildfire would be helpful to fire management. This paper presents a simulation platform called FLEAT (Fire and Landscape Ecology Assessment Tool) that integrates several existing landscape- and stand-level simulation models to compute an ecologically based measure that describes if a wildfire is moving the burning landscape towards or away from the historical range and variation of vegetation composition. FLEAT uses a fire effects model to simulate fire severity, which is then used to predict vegetation development for 1, 10, and 100 years into the future using a landscape simulation model. The landscape is then simulated for 5000 years using parameters derived from historical data to create an historical time series that is compared to the predicted landscape composition at year 1, 10, and 100 to compute a metric that describes their similarity to the simulated historical conditions. This tool is designed to be used in operational wildfire management using the LANDFIRE spatial database so that fire managers can decide how aggressively to suppress wildfires. Validation of fire severity predictions using field data from six wildfires revealed that while accuracy is moderate (30-60%), it is mostly dictated by the quality of GIS layers input to FLEAT. Predicted 1-year landscape compositions were only 8% accurate but this was because the LANDFIRE mapped pre-fire composition accuracy was low (21%). This platform can be integrated into current readily available software products to produce an operational tool for balancing benefits of wildfire with potential dangers.     

人工纳米材料对斑马鱼生态毒理效应研究进展

随着纳米技术的快速发展,人工纳米材料在光电、生物医药、化妆品等诸多领域得到了广泛应用。人工纳米材料在生产、使用和废弃处理等过程中,不可避免地通过水体、土壤、大气等进入环境,其对环境产生的生态效应逐渐引起国内外的广泛关注。斑马鱼(Danio rerio)作为一种重要的脊椎模式生物,在环境毒理学研究中应用广泛,可以作为检测人工纳米材料生态毒理效应的一种重要工具。本文介绍了人工纳米材料对水生态环境的影响及斑马鱼在生态毒理学研究中的优势,总结了其对斑马鱼的毒性效应,主要包括急性毒性和对个体发育的影响、对组织细胞及基因表达的影响,分析了人工纳米材料对斑马鱼的毒性机制,以期为人工纳米材料毒理学研究提供基础信息。     

邻苯二甲酸酯类雌激素活性联合作用模型分析

环境雌激素对生命健康影响受到广泛关注,现行污染物环境标准制订和风险评价只针对单一化合物而非混合物效应,不足以保护生命安全与人类健康。为探讨环境雌激素的混合物效应,选择对雌激素敏感的人乳腺癌MCF-7细胞增殖实验,检测雌二醇(E2)、邻苯二甲酸酯类化合物(DBP和DEHP)的单一及其联合雌激素活性;基于单一化合物的浓度-反应曲线,运用浓度相加(CA)和独立作用(IA)模型对混合物的毒性进行预测,并将模型预测结果与混合物实验数据进行比较分析。结果表明,E2、DBP、DEHP对MCF-7细胞的单一作用数据可通过Weibull方程拟合,由拟合方程得到的半数效应浓度(EC50)及95%置信区间分别为3.450×10-6(2.373×10-6~1.675×10-5)、5.138(1.489~1.082×10)、1.186(4.478×10-1~2.24)μmol·L-1;3种化合物的混合物数据亦可通过Weibull、Logistic和Exp Gro1方程进行有效拟合,混合物效应与化合物单独作用产生的效应具有显著性差异;3种化合物表现非相似联合作用,利用独立作用(IA)模型预测混合物效应较为可靠,外源性环境雌激素与内源性雌激素联合作用产生的混合效应显著。环境雌激素混合物毒性可以通过相加作用模型预测,为环境复合污染的风险评价和管理提供基础数据。     

二元联合作用藻红外测试方法——以重金属为例

为检验二元联合作用藻红外测试方法的可行性,用Cu~(2+)、Fe3+、Mn~(2+)、Al3+、Cr3+、Hg~(2+)、Cd~(2+)、Pb~(2+)、Zn~(2+)进行了二元联合作用测试实验。结果显示:联合药液的参照浓度与单药液的参照浓度比为0.5:0.25的有15组二元组合,为2.0:1.0的有10组二元组合,为1.0:0.5的有11组二元组合;在9种重金属的36组二元联合作用测试结果中出现拮抗作用、相加作用、协同作用,表明联合作用类型表现出多样性;14组拮抗作用中单组的再现性为50%~100%、多组的再现性的出现率为93%、单组的重现性为67%~100%、多组的重现性的出现率为100%,21组相加作用中单组的再现性为50%~100%、多组的再现性的出现率为86%、单组的重现性为67%~100%、多组的重现性的出现率为100%,1组协同作用重现性67%;36组联合作用测试结果的再现性为50%~100%、再现性的出现率为86%,重现性为67%~100%、重现性的出现率为100%。上述分析可知,9种重金属的36种二元联合作用测试结果具有较好的多样性、再现性、重现性,表明测试条件、藻温测试方法、三指标评价法能够保证藻响应温差和藻响应药品评价结果的质量,参照浓度分析方法、联合作用评价方法能够控制联合作用分析结果的质量;藻响应的有毒有害物都存在敏感浓度,用参照浓度分析方法可分析出藻响应有毒有害物的参照浓度。因此,藻红外测试技术可以用于测试重金属、农药、有机药品、抗生素等的二元联合作用。     

苏云金芽胞杆菌(Bacillus thuringiensis)几丁质酶的分离纯化及酶学性质

以苏云金芽胞杆菌为材料 ,通过硫酸铵沉淀分级分离、DEAE - 32离子交换柱层析初步纯化 ,获得比活力为15 0 .5Umg-1的酶制剂 .研究酶催化胶体几丁质水解的反应时间和酶量对酶活力的关系 ,探讨酶催化胶体几丁质的最适条件 .温度和 pH对酶活力的影响和酶的热稳定性及酸碱稳定性的结果表明 :酶催化胶体几丁质水解的的最适pH为 5 .6、最适温度为 5 8℃ .该酶在pH 4 .5～ 6 .5区域稳定 ,而在pH >8能很快失活 ;在 5 5℃以下处理 30min ,酶活力保持不变 ;高于 5 5℃ ,酶快速失活 .图 5参 11     

过渡金属对Pt Rh Pd/Al2O3催化剂性能的影响

研究了过渡金属(重点考察了铜)对Pt Rh Pd／Al2O3催化剂尾气净化效能的影响,并应用XRD,TPD,TPR等手段对过渡金属在Pt Rh Pd／Al2O3催化剂中的作用机制进行了探讨．结果表明,过渡金属对Pt Rh Pd／Al2O3催化剂具有较大的改性作用,过渡金属与混合贵金属产生的协同效应有利于催化剂活性的提高．     

Do new health conditions support mortality–air pollution effects?

Epidemiological research underlying US air quality regulations documents significant associations between measures of fine particles and premature mortality. Recent studies examine potential mechanistic pathways, related to heart and lung functioning, that may contribute to the observed deaths. Our results support these pathophysiological analyses. We examine whether the onset of serious health conditions, consistent with disease pathways, is related to current and long-term exposure to particulate matter and ozone. Associations between air pollution and alternative indicators of health status are also evaluated. The 1996 wave of the Health and Retirement Study is used with a two-step estimator acknowledging limitations in our ability to measure individual exposures. The findings suggest significant current and long-term effects of particulates on new cases of heart attacks and angina, reinforcing the disease pathways identified in epidemiological studies. Long-term air pollution exposure is also a determinant of recently diagnosed chronic lung conditions and reports of shortness of breath.     

Quantifying the rebound effects of residential solar panel adoption

Customers who adopt solar panels can reduce their energy bills and lower the effective average electricity prices they pay. When the price falls, a solar consumer might consume more electricity than before – a solar rebound effect. We provide the first empirical evidence of residential solar rebound effects in the U.S. We use household level hourly and daily electricity meter data as well as hourly solar panel electricity generation data from 277 solar homes and about 4000 non-solar homes from 2013 to 2017 in Phoenix Arizona. Using matching methods and a fixed effects panel regression approach, we find that when solar electricity generation increases by 1 kWh, solar homes increase their total electricity consumption by 0.18 kWh. This indicates that solar rebound effects are estimated at 18%. Building upon our theoretical framework, the increase in consumer surplus from solar panel adoption is estimated at $972/yr.     

河口-近海环境新污染物的环境过程、效应与风险

在全球变化和人类活动双重影响下,大量陆源污染物特别是备受各国政府和民众关注的微塑料、新型持久性有机污染物以及药物和个人护理品等新污染物进入水体环境并迁移扩散,对近海生态环境安全和人体健康产生了巨大影响.综述国内外微塑料、全/多氟化合物、抗生素和内分泌干扰物等新污染物在河口-近海环境中的污染来源、时空分布和迁移传输等环境过程及其影响因素,分析探讨近海水生生态系统中新污染物产生的不良生态效应和风险,提出未来研究重点应关注河口-近海环境中多种新污染物的相互作用和新污染物产生的联合生态毒理效应及造成的生态和健康风险等,为陆海统筹下的海洋污染防治和海洋经济的健康发展提供科学依据.