中国环境保护战略政策70年历史变迁与改革方向

系统地回顾了新中国成立70年以来环境保护战略政策的历史变迁,分析其演进脉络、阶段性变化特征和取得的成效,对于制定新时代国家生态环境保护战略政策、全面推进生态文明和"美丽中国"建设具有重大现实意义.以环境保护战略政策历史演进为主线,将新中国成立70年以来的环境保护战略政策历史变迁与发展划分为5个阶段:①非理性战略探索阶段（1949-1971年）;②建立环境保护三大政策和八项管理制度的环境保护基本国策（1972-1991年）;③强化重点流域、区域污染治理的可持续发展战略（1992-2000年）;④控制污染物排放总量、推进生态环境示范创建的环境友好型战略（2001-2012年）;⑤推进环境质量改善和"美丽中国"建设的生态文明战略（2013年至今）.分析表明,我国基本形成了符合国情且较为完善的环境战略政策体系,在生态文明和环境保护法制与体制改革、生态环境目标责任制、生态环境市场经济政策体系以及多元有效的生态环境治理格局下取得了重大成就,对环境保护事业发展发挥了不可替代的支撑作用,为深入推进生态文明建设和"美丽中国"伟大目标实现提供了重要保障.结合新时代生态文明建设和"美丽中国"建设的目标需求,提出了未来我国生态环境保护战略政策的基本走向、改革目标,指出了管理体制、生态法治、空间管控、市场机制、公众参与、责任考核等六大改革方向.      

大气污染防治综合科学决策支持平台的开发及应用

大气污染防治和环境治理的紧迫性和复杂性需要科学有效的决策,而以费效评估为标志的综合决策评估模型是支撑环境决策和管理的重要工具.当前以ABaCAS（Air Pollution Control Cost-Benefit and Attainment Assessment System,空气污染控制成本效益与达标评估系统）为代表的综合决策评估模型可以实现对特定减排方案的费效评估,然而无法支持开展基于费效的达标路径优化,以及对应不同环境目标下减排策略的优化制定.针对上述问题,建立了大气污染防治综合科学决策支持平台.该平台以ABaCAS的4个核心模块为基础,建立了新的基于环境目标的反算技术（LE-CO）及优化集成运行模式（ABaCAS-OE）,实现了对不同环境目标要求的减排量反算,并对优化的减排策略下的空气质量改善效果、目标可达性、控制成本及健康收益进行快速估算.将大气污染防治综合科学决策支持平台应用到京津冀及周边地区"2+26"城市,反算了2035年达标要求下的减排情景,以及对应减排方案的费用与效益.结果表明,相较于2015年,预测了2035年京津冀及周边地区的PM_2.5、SO₂、NO_x、VOCs、NH₃排放量需分别减排70%~87%、49%~85%、66%~74%、51%~66%、0~40%才可达标,并且该情景可以带来可观的效益,费用-效益比达3.7.未来大气污染防治综合科学决策支持平台的研究将进一步面向多目标、多行业、多组分、多区域的精细化调控技术,实现经济、能源、排放、浓度、成本、健康、生态、气候一体化的综合决策,以全面支撑我国大气污染防治的综合科学决策.      

我国PM2.5与臭氧污染协同控制策略研究

近年来,我国大气污染格局发生了深刻变化,PM_2.5与臭氧（O₃）成为影响我国城市和区域空气质量的主要空气污染物,二者协同控制已成为我国空气质量改善的焦点和打赢蓝天保卫战的关键.PM_2.5与臭氧之间具有复杂的关联性,使得二者的协同控制具有复杂性与艰巨性.分析了PM_2.5与臭氧成因的关联性及其相互影响,阐明了PM_2.5与臭氧污染协同控制所涉及的重要科学问题,并在此基础上研究了目前我国PM_2.5与臭氧的污染形势及二者的关联性,梳理了我国自2013年以来在PM_2.5与臭氧污染控制中已采取的重要举措,论述了目前我国PM_2.5与臭氧协同控制在科学与管理上所面临的挑战.结合对国外成功经验的分析,提出推进我国PM_2.5与臭氧污染协同控制工作的相关建议:①加快监测能力建设,完善管理体系;②强化科技支撑,提高PM_2.5与臭氧污染控制精准性;③加快构建VOCs与NO_x治理技术体系;④加大VOCs与NO_x的协同减排力度,保障减排方案落实到位.      

华东区域PM2.5变化背景下浙江省人口经济暴露水平评估

利用1998~2012年卫星反演的细颗粒物(PM_(2.5))全球高精度产品数据集,精细化地给出了华东地区PM_(2.5)时空分布与变化特征,并分析了此背景下浙江省PM_(2.5)的人口经济暴露水平.结果表明1998~2012年期间,浙江省区域平均PM_(2.5)浓度整体变化呈现出先增加、后下降的特征,拐点出现在2007~2009年前后,与华东区域大背景的变化趋势一致.1998~2000年华东南部与山东东部的年平均PM_(2.5)浓度基本保持在50μg·m~(-3)以下,其余地区大多在50~75μg·m~(-3)左右,华东地区和浙江省PM_(2.5)浓度超过35μg·m~(-3)的地区分别占到51.8%和21.1%.1998~2009年PM_(2.5)浓度上升趋势非常明显,华东地区的平均变化趋势为2.58μg·(m~3·a)~(-1),浙江省的上升趋势较华东区域慢,为1.43μg·(m~3·a)~(-1).2007~2009年PM_(2.5)浓度达到最大,华东和浙江省超过35μg·m~(-3)的地区分别占到82.1%和65.9%.此后PM_(2.5)浓度呈现出下降的变化趋势,华东地区和浙江省的平均变化趋势分别为-1.75μg·(m~3·a)~(-1)和-1.58μg·(m~3·a)~(-1),PM_(2.5)浓度超过35μg·m~(-3)的地区比例均有所下降,说明政府颁布的一系列节能减排方针政策可能对华东地区的空气质量改善起到了一定的成效.2010年浙江地区PM_(2.5)暴露水平超过35μg·m~(-3)的人口比例和GDP比例分别为74.0%和70.8%,其中38.1%的人口生活的环境和38.9%的GDP产生的环境PM_(2.5)浓度年平均值在50μg·m~(-3)以上.     

廊道与源地协调的国土空间生态安全格局构建

构建生态联系紧密且生态干扰更小的生态安全格局,是平衡国土空间规划中生态保护与经济社会发展的重要手段。在国土空间中,为形成廊道与源地的协调与保护兼顾的生态安全格局,以环洞庭湖区域33个县（区）为例,针对核心生态源地与自然廊道、经济社会源地与人工廊道分别形成的生态格局、城镇格局,揭示两者之间生态关键点及生态干扰点的分布特征,并差异化应对。结果表明：（1）为促进生态要素的空间联系,1537条生态廊道应纳入生态安全格局中,908处生态关键点需要保护,而0.48%的经济社会源地面积应退让给自然廊道。（2）受干扰的核心生态源地面积占比和自然廊道长度占比分别为1.36%、12.95%,8800处生态干扰点可采取缓冲、预警等主要应对策略,以协同发展自然—人工系统。（3）为满足生态保护用地应持续增加的需求,非核心生态源地内,面积分别为203.22 km²、125.67 km²、35.59 km²的一、二、三级自然廊道可分批作为生态安全格局未来发展的储备用地。研究结果可为协调国土空间规划体系中生态用地与城镇建设用地提供参考。     

秦岭大熊猫自然保护区与社区发展中的问题与对策——以长青自然保护区为例

在分析陕西秦岭大熊猫自然保护区发展现状的基础上,对其建设管理与周边社区经济社会中存在的问题进行了分析,探讨了自然保护区与周边社区的相互影响关系,提出了大熊猫自然保护区与社区协调发展的对策建议.     

秦皇岛市创建国家环境保护模范城市对策研究

通过介绍秦皇岛市创建国家环境保护模范城市的规划范围、规划目标及创建过程,分析了秦皇岛市"创模"的主要制约因素,并重点阐述了为完成创模目标所采取的主要对策,包括:实施"旅游立市"发展战略,加快产业结构调整和发展方式转变;优化能源结构,深入开展节能工作;强化污染减排,改善环境质量等。     

Disentangling the effects of heterogeneity, stochastic dynamics and sampling in a community of aquatic insects

A dynamic and heterogeneous species abundance model generating the lognormal species abundance distribution is fitted to time series of species data from an assemblage of stoneflies and mayflies (Plecoptera and Ephemeroptera) of an aquatic insect community collected over a period of 15 years. In each year except one, we analyze 5 parallel samples taken at the same time of the season giving information about the over-dispersion in the sampling relative to the Poisson distribution. Results are derived from a correlation analysis, where the correlation in the bivariate normal distribution of log abundance is used as measurement of similarity between communities. The analysis enables decomposition of the variance of the lognormal species abundance distribution into three components due to heterogeneity among species, stochastic dynamics driven by environmental noise, and over-dispersion in sampling, accounting for 62.9, 30.6 and 6.5% of the total variance, respectively. Corrected for sampling the heterogeneity and stochastic components accordingly account for 67.3 and 32.7% of the among species variance in log abundance. By using this method, it is possible to disentangle the effect of heterogeneity and stochastic dynamics by quantifying these components and correctly remove sampling effects on the observed species abundance distribution.     

Predicting local population distributions around a central shelter based on a predation risk-growth trade-off

Animals face trade-offs between predation risk and foraging success depending on their location in the landscape; for example, individuals that remain near a common shelter may be safe from predation but incur stronger competition for resources. Despite a long tradition of theoretical exploration of the relationships among foraging success, conspecific competition, predation risk, and population distribution in a heterogeneous environment, the scenario we describe here has not been explored theoretically. We construct a model of habitat use rules to predict the distribution of a local population (prey sharing a common shelter and foraging across surrounding habitats). Our model describes realized habitat quality as a ratio of density- and location-dependent mortality to density-dependent growth. We explore how the prey distribution around a shelter is expected to change as the parameters governing the strength of density dependence, landscape characteristics, and local abundance vary. Within the range of parameters where prey spend some time away from shelter but remain site-attached, the prey density decreases away from shelter. As the distance at which prey react to predators increases, the population range generally increases. At intermediate reaction distances, however, increases in the reaction distance lead to decreases in the maximum foraging distance because of increased evenness in the population distribution. As total abundance increases, the population range increases, average population density increases, and realized quality decreases. The magnitude of these changes differs in, for example, ‘high-’ and ‘low-visibility’ landscapes where prey can detect predators at different distances.     

Translating effects of inbreeding depression on component vital rates to overall population growth in endangered bighorn sheep

Evidence of inbreeding depression is commonly detected from the fitness traits of animals, yet its effects on population growth rates of endangered species are rarely assessed. We examined whether inbreeding depression was affecting Sierra Nevada bighorn sheep (Ovis canadensis sierrae), a subspecies listed as endangered under the U.S. Endangered Species Act. Our objectives were to characterize genetic variation in this subspecies; test whether inbreeding depression affects bighorn sheep vital rates (adult survival and female fecundity); evaluate whether inbreeding depression may limit subspecies recovery; and examine the potential for genetic management to increase population growth rates. Genetic variation in 4 populations of Sierra Nevada bighorn sheep was among the lowest reported for any wild bighorn sheep population, and our results suggest that inbreeding depression has reduced adult female fecundity. Despite this population sizes and growth rates predicted from matrix-based projection models demonstrated that inbreeding depression would not substantially inhibit the recovery of Sierra Nevada bighorn sheep populations in the next approximately 8 bighorn sheep generations (48 years). Furthermore, simulations of genetic rescue within the subspecies did not suggest that such activities would appreciably increase population sizes or growth rates during the period we modeled (10 bighorn sheep generations, 60 years). Only simulations that augmented the Mono Basin population with genetic variation from other subspecies, which is not currently a management option, predicted significant increases in population size. Although we recommend that recovery activities should minimize future losses of genetic variation, genetic effects within these endangered populations-either negative (inbreeding depression) or positive (within subspecies genetic rescue)-appear unlikely to dramatically compromise or stimulate short-term conservation efforts. The distinction between detecting the effects of inbreeding depression on a component vital rate (e.g., fecundity) and the effects of inbreeding depression on population growth underscores the importance of quantifying inbreeding costs relative to population dynamics to effectively manage endangered populations.