Effects of surrounding land use and water depth on seagrass dynamics relative to a catastrophic algal bloom

Seagrasses are the foundation of many coastal ecosystems and are in global decline because of anthropogenic impacts. For the Indian River Lagoon (Florida, U.S.A.), we developed competing multistate statistical models to quantify how environmental factors (surrounding land use, water depth, and time [year]) influenced the variability of seagrass state dynamics from 2003 to 2014 while accounting for time‐specific detection probabilities that quantified our ability to determine seagrass state at particular locations and times. We classified seagrass states (presence or absence) at 764 points with geographic information system maps for years when seagrass maps were available and with aerial photographs when seagrass maps were not available. We used 4 categories (all conservation, mostly conservation, mostly urban, urban) to describe surrounding land use within sections of lagoonal waters, usually demarcated by land features that constricted these waters. The best models predicted that surrounding land use, depth, and year would affect transition and detection probabilities. Sections of the lagoon bordered by urban areas had the least stable seagrass beds and lowest detection probabilities, especially after a catastrophic seagrass die‐off linked to an algal bloom. Sections of the lagoon bordered by conservation lands had the most stable seagrass beds, which supports watershed conservation efforts. Our results show that a multistate approach can empirically estimate state‐transition probabilities as functions of environmental factors while accounting for state‐dependent differences in seagrass detection probabilities as part of the overall statistical inference procedure.     

Dynamics of a low‐density tiger population in Southeast Asia in the context of improved law enforcement

Recovering small populations of threatened species is an important global conservation strategy. Monitoring the anticipated recovery, however, often relies on uncertain abundance indices rather than on rigorous demographic estimates. To counter the severe threat from poaching of wild tigers (Panthera tigris), the Government of Thailand established an intensive patrolling system in 2005 to protect and recover its largest source population in Huai Kha Khaeng Wildlife Sanctuary. Concurrently, we assessed the dynamics of this tiger population over the next 8 years with rigorous photographic capture‐recapture methods. From 2006 to 2012, we sampled across 624–1026 km² with 137–200 camera traps. Cameras deployed for 21,359 trap days yielded photographic records of 90 distinct individuals. We used closed model Bayesian spatial capture‐recapture methods to estimate tiger abundances annually. Abundance estimates were integrated with likelihood‐based open model analyses to estimate rates of annual and overall rates of survival, recruitment, and changes in abundance. Estimates of demographic parameters fluctuated widely: annual density ranged from 1.25 to 2.01 tigers/100 km², abundance from 35 to 58 tigers, survival from 79.6% to 95.5%, and annual recruitment from 0 to 25 tigers. The number of distinct individuals photographed demonstrates the value of photographic capture–recapture methods for assessments of population dynamics in rare and elusive species that are identifiable from natural markings. Possibly because of poaching pressure, overall tiger densities at Huai Kha Khaeng were 82–90% lower than in ecologically comparable sites in India. However, intensified patrolling after 2006 appeared to reduce poaching and was correlated with marginal improvement in tiger survival and recruitment. Our results suggest that population recovery of low‐density tiger populations may be slower than anticipated by current global strategies aimed at doubling the number of wild tigers in a decade.     

大型浅水湖泊太湖霍甫水丝蚓次级生产力的研究

作为湖泊底栖动物优势种类的霍甫水丝蚓在长江中下游湖泊分布广泛,在湖泊生态系统的能流和物流中占有十分重要的地位。为了了解霍甫水丝蚓在大型浅水湖泊中的种群动态规律、生活史和周年生产量等的状况,于2005年1~12月对太湖霍甫水丝蚓进行周年的研究,以期为了解太湖这一优势种类的生产力状况及合理利用这一资源提供理论依据。研究发现,2005年太湖霍甫水丝蚓年均密度和生物量分别为3 274ind./m~2(0~13 800ind./m~2)和4.70g/m2(0~29.15g/m~2),一般均在冬季达到高峰,空间分布上霍甫水丝蚓密度和生物量呈现出明显的差异性,在太湖北部梅梁湾和竺山湾及西部河口湖区分布较高,而在其它区域的现存量均较低。根据体长频数分布的周年变化特征,推测太湖霍甫水丝蚓约为一年三代,繁殖可能发生在3、7和11月份期间。2005年太湖霍甫水丝蚓年生产量为480.21g·m~(-2)·yr-1,P/B为14.17,与同类研究报道相比属于较高水平。分析表明太湖霍甫水丝蚓的高世代数导致其高P/B系数,而高周年生产量与其所处的营养水平相对较高有关,这对于太湖渔产潜力具有显著意义。     

总量控制约束下区域用水结构调控策略及动态模拟

在既定水资源供给下,通过调控区域用水结构,提高用水效率与效益,使经济社会发展与用水总量限制的水资源约束相适应,是目前区域经济社会发展面临与亟待解答的关键科学问题。选择若干指标定量描述用水系统与社会经济系统耦合关系的基础上,以国民经济部门划分和用水主体划分相结合的方式,细化第一、二、三产业、生活和生态用水指标,建立了江苏省用水结构与产业结构、用水需求与经济社会发展指标互动反馈的模拟调控的系统动力学模型。在对当前发展模式下的江苏省用水总量发展趋势模拟预测分析基础上,选择对系统影响显著的参数作为调控变量,设计了5种对比情景,动态模拟水资源供求变化和用水结构变化情况,提出了江苏省用水总量控制下用水结构调控方案和对策,为区域落实最严格水资源管理制度提供决策依据。     

Representative boreal forest habitats in northern Europe,and a revised model for ecosystem management and biodiversity conservation

The natural range of variation of ecosystems provides reference conditions for sustainable management and biodiversity conservation. We review how the understanding of natural reference conditions of boreal forests in northern Europe has changed from earlier perceptions of even-aged dynamics driven by stand-replacing disturbances towards current understanding highlighting the role of non-stand-replacing disturbances and the resultant complex forest dynamics and structures. We show how earlier views and conceptual models of forest disturbance dynamics, including the influential ASIO model, provide estimates of reference conditions that are outside the natural range of variation. Based on a research synthesis, we present a revised forest reference model incorporating the observed complexity of ecosystem dynamics and the prevalence of old forests. Finally, we outline a management model and demonstrate its use in forest ecosystem management and show how regional conservation area needs can be estimated. We conclude that attaining favourable conservation status in northern Europe’s boreal forests requires increasing emphasis on ecosystem management and conservation for old forest characteristics.Electronic supplementary materialThe online version of this article (10.1007/s13280-020-01444-3) contains supplementary material, which is available to authorized users.     

生活垃圾渗滤液处理过程中抗生素抗性基因的变化特征

抗生素抗性基因被认为是一种环境污染物,城市生活垃圾填埋场及其渗滤液中存在着多种类和高丰度的抗生素抗性基因.针对生活垃圾渗滤液处理工艺流程特点,本研究采用超高通量定量PCR技术,分析生活垃圾渗滤液处理过程中抗生素抗性基因的变化特征.结果表明,渗滤液处理使得出水抗生素抗性基因丰度减至9. 2×1010copies·L-1,降低了5个数量级,能有效消减渗滤液中的抗生素抗性基因,是一种有效消减垃圾渗滤液抗生素抗性基因丰度的方法;渗滤液出水中的抗生素抗性基因140种,检出率高达46. 7%,相较于自然环境,出水中抗生素抗性基因种类和丰度仍然维持在较高水平,直接排入市政污水管网可能造成抗生素抗性基因的二次扩散,存在着较高的生态环境风险;渗滤液中抗生素抗性基因与Cr、Cd、Ni、As、MGEs、integron和transposon呈现极显著的正相关关系,表明抗生素抗性基因的赋存和迁移传播可能受重金属元素和可移动遗传元件的共同影响.     

耐蚀高熵合金在岛礁装备中的应用前景

详细综述了南沙岛礁环境下装备的腐蚀特点以及耐蚀高熵合金的研究进展,着重分析了合金化元素及热处理工艺对耐蚀高熵合金腐蚀性能的影响规律.最终,归纳了耐蚀高熵合金在岛礁装备中的潜在应用领域,为全面提升我国关键装备在南沙岛礁环境中的服役能力提供了理论指导.     

基于系统动力学的建筑施工安全系统脆弱性仿真分析

为系统分析建筑施工安全系统脆弱性的影响机理,首先探讨了社会技术系统理论下各子系统影响因素之间的高接触与紧耦合性的特点;然后以脆弱性理论为切入点,建立了建筑施工安全系统脆弱性的系统动力学仿真模型,采用三角模糊数和层次分析法确定了模型中各影响因素的权重系数和相关方程参数;最后通过考虑不同子系统的投入方案对建筑施工安全系统脆弱性的暴露度、敏感度和适应度的影响程度进行仿真分析。结果表明:建筑施工安全系统具有脆弱倾向性;个人子系统、技术子系统和组织管理子系统分别对降低安全系统暴露度、敏感度和提高安全系统适应度有显著的作用,在整个仿真周期内各子系统每单位投入产生的变化幅度分别为17.07%、11.13%和15.60%,并围绕起关键作用的子系统提出了针对性建议,以期降低建筑施工安全系统的脆弱性风险,提高工程安全管理水平。     

基于系统动力学的中国碳减排路径模拟

通过分析二氧化碳排放影响因素之间作用关系与碳减排的主要路径,构建二氧化碳排放系统动力学模型。在此基础上,通过调控供给侧经济增长速度、能源结构和产业结构要素,预测四种不同情景方案对二氧化碳排放的影响,以进一步探讨二氧化碳排放主要部门减排贡献。结果表明：四种方案的二氧化碳净排放量增长趋势逐年变缓,在二氧化碳净排放量达到峰值后,调整经济增速、改善能源结构和优化产业结构继续为碳减排发挥积极作用,相比于经济增速和产业结构调整,能源结构改善的减排贡献度更高。在综合调控经济增速、能源结构和产业结构的方案下,中国二氧化碳净排放量2024年将达到高峰值104.45亿t,2058年实现碳中和,这与现实情况更加吻合。未来若能抓住经济、能源、产业低碳转型的良好机遇,并进一步加强各部门的减排努力,中国二氧化碳净排放量有望2025年前达峰,2060年前实现碳中和。     

PBT基推进剂热分解特性与慢烤行为关系研究

目的 研究PBT(3,3–二叠氮甲基氧丁环–四氢呋喃共聚醚)基推进剂慢速烤燃响应情况与热分解特性之间的关系。方法 采用差示量热扫描仪和慢速烤燃试验,研究推进剂在不同固含量(通过改变高氯酸铵含量来调整)和不同铝粉含量下的热分解温度变化情况,计算不同组分含量下推进剂的热分解动力学参数,对比分析PBT基推进剂固、铝粉含量变化对热分解特性及慢速烤燃行为影响。结果 固含量从78%下降至75%时,配方中AP(高氯酸铵)的高、低温热分解温度和热分解活化能均会下降。铝粉质量分数从18%下降至5%时,配方中AP的高、低温热分解温度和热分解活化能均会下降。当采用78%的固含量时,配方无法通过慢烤试验,而采用75%的固含量,铝粉质量分数为18%、5%时,均能通过慢烤试验。结论 根据热分析及慢烤试验结果可认为,固含量变化对慢烤响应程度变化有较大影响,Al粉含量变化对配方慢烤响应程度的影响较小。影响配方慢烤响应程度主要由AP高温分解控制,AP高温分解活化能越低,越有利于推进剂通过慢速烤燃测试。