A review of methods to trace material flows into final products in dynamic material flow analysis: From industry shipments in physical units to monetary input–output tables,Part 1

Dynamic material flow analysis (dMFA) is widely used to model stock-flow dynamics. To appropriately represent material lifetimes, recycling potentials, and service provision, dMFA requires data about the allocation of economy-wide material consumption to different end-use products or sectors, that is, the different product stocks, in which material consumption accumulates. Previous estimates of this allocation only cover few years, countries, and product groups. Recently, several new methods for estimating end-use product allocation in dMFA were proposed, which so far lack systematic comparison. We review and systematize five methods for tracing material consumption into end-use products in inflow-driven dMFA and discuss their strengths and limitations. Widely used data on industry shipments in physical units have low spatio-temporal coverage, which limits their applicability across countries and years. Monetary input–output tables (MIOTs) are widely available and their economy-wide coverage makes them a valuable source to approximate material end-uses. We find four distinct MIOT-based methods: consumption-based, waste input–output MFA (WIO-MFA), Ghosh absorbing Markov chain, and partial Ghosh. We show that when applied to a given MIOT, the methods’ underlying input–output models yield the same results, with the exception of the partial Ghosh method, which involves simplifications. For practical applications, the MIOT system boundary must be aligned to those of dMFA, which involves the removal of service flows, sector (dis)aggregation, and re-defining specific intermediate outputs as final demand. Theoretically, WIO-MFA, applied to a modified MIOT, produces the most accurate results as it excludes massless and waste transactions. In part 2 of this work, we compare methods empirically and suggest improvements for aligning MIOT-dMFA system boundaries.     

Five fundamental ways in which complex food webs may spiral out of control

Theory suggests that increasingly long, negative feedback loops of many interacting species may destabilize food webs as complexity increases. Less attention has, however, been paid to the specific ways in which these ‘delayed negative feedbacks’ may affect the response of complex ecosystems to global environmental change. Here, we describe five fundamental ways in which these feedbacks might pave the way for abrupt, large-scale transitions and species losses. By combining topological and bioenergetic models, we then proceed by showing that the likelihood of such transitions increases with the number of interacting species and/or when the combined effects of stabilizing network patterns approach the minimum required for stable coexistence. Our findings thus shift the question from the classical question of what makes complex, unaltered ecosystems stable to whether the effects of, known and unknown, stabilizing food-web patterns are sufficient to prevent abrupt, large-scale transitions under global environmental change.     

The distribution of coastal fish eDNA sequences in the Anthropocene

Aim

Coastal fishes have a fundamental role in marine ecosystem functioning and contributions to people, but face increasing threats due to climate change, habitat degradation and overexploitation. The extent to which human pressures are impacting coastal fish biodiversity in comparison with geographic and environmental factors at large spatial scale is still under scrutiny. Here, we took advantage of environmental DNA (eDNA) metabarcoding to investigate the relationship between fish biodiversity, including taxonomic and genetic components, and environmental but also socio-economic factors.

Location

Tropical, temperate and polar coastal areas.

Time period

Present day.

Major taxa studied

Marine fishes.

Methods

We analysed fish eDNA in 263 stations (samples) in 68 sites distributed across polar, temperate and tropical regions. We modelled the effect of environmental, geographic and socio-economic factors on α- and β-diversity. We then computed the partial effect of each factor on several fish biodiversity components using taxonomic molecular units (MOTU) and genetic sequences. We also investigated the relationship between fish genetic α- and β-diversity measured from our barcodes, and phylogenetic but also functional diversity.

Results

We show that fish eDNA MOTU and sequence α- and β-diversity have the strongest correlation with environmental factors on coastal ecosystems worldwide. However, our models also reveal a negative correlation between biodiversity and human dependence on marine ecosystems. In areas with high dependence, diversity of all fish, cryptobenthic fish and large fish MOTUs declined steeply. Finally, we show that a sequence diversity index, accounting for genetic distance between pairs of MOTUs, within and between communities, is a reliable proxy of phylogenetic and functional diversity.

Main conclusions

Together, our results demonstrate that short eDNA sequences can be used to assess climate and direct human impacts on marine biodiversity at large scale in the Anthropocene and can further be extended to investigate biodiversity in its phylogenetic and functional dimensions.     

Environmental gradients in a southern Europe estuarine system: Ria de Aveiro,Portugal implications for soft bottom macrofauna colonization

Four seasonal sampling surveys were carried out between December 1985 and September 1986 in Canal de Mira (Ria de Aveiro, Portugal). A total of 40 sampling stations, distributed over 13 transects, was used. Salinity, temperature, dissolved oxygen and pH of the water mass were measured. Sediment temperature, and salinity and pH of interstitial water were determined. Sediment variables also included granulometric composition and organic matter contents. Bottom macrofauna samples were collected at each station. Ordination (PCA and MDS) and classification of the sampling stations were performed, using the physicochemical and the biological data sets separately. Average linkage cluster analysis using the unweighted paired-group method, arithmetic averages, was used for both sets of data. With a salinity range from 35.1‰ to 0.0‰, Canal de Mira behaves like a tidally and seasonally poikilohaline estuary. Water temperature (8.5–24.7°C) decreased along the channel towards its inner part during the cold season; an inverse and more pronounced trend was observed during the hot season. Dissolved oxygen contents was generally high during the day (50% to 240% saturation). Oversaturation was observed throughout the growing season, with peaks in areas with large amounts of rooted vegetation. The pH values, largely correlated with dissolved oxygen, ranged from 6.8 to 8.9. Four types of sediment were present in Canal de Mira, medium and muddy sands being dominant. Two major gradients were identified: (i) a typical longitudinal estuarine gradient, associated with distance from the mouth, representing physicochemical variables such as tidal amplitude, salinity and temperature; this gradient was accompanied by an upstream increase in dominance; the community composition changes were mainly related to salinity; (ii) a lateral gradient, related to current velocity, depth and sediment composition; the subtidal community had a comparatively low species richness and abundance. Groups of stations could be recognized along the environmental gradients. Benthic community changes, however, appeared to be gradual rather than marked by abrupt transitions.     

From aquatic science to ecosystem health: a philosophical perspective

The development of an ecosystem (social, economic, environmental) approach to water management is traced from its origins in the Great Lakes of North America. The focus on health and integrity of ecosystems is an outgrowth of the Lamarckian concept of The Biosphere as a global system of matter, life, and mind. The driving forces behind the development of an ecosystem approach have been negative feedback from excessive demotechnic growth and faith that we can maintain a healthy relationship with Mother Earth.     

尖峰岭热带天然林不同土层细菌群落多样性和组成的海拔变异规律

土壤微生物群落结构沿海拔梯度的变异是微生物生物地理学分异和群落空间分布的重要内容,然而,热带森林土壤微生物多样性及其群落特征的海拔模式尚不明确。研究海南省尖峰岭自然保护区0—20cm和20—40cm土壤细菌多样性和群落组成沿海拔梯度(400—1410m)的变化及其与环境因子的关系。结果表明：在0—20cm土壤微生物生物量碳、生物量氮和生物量磷随海拔升高(峰顶降低)而增加,20—40cm土壤微生物生物量碳、生物量氮和生物量磷随海拔升高呈先升高后降低趋势;整体上,变形菌门、放线菌门、酸杆菌门、拟杆菌门、厚壁菌门在0—20cm中占优势,丰度总和占该层细菌总量的88.17%;变形菌门、放线菌门、酸杆菌门、厚壁菌门、绿弯菌门在20—40cm中占优势,丰度总和占该层细菌总量的90.82%;随海拔增加,0—20cm细菌多样性线性减少,20—40cm细菌多样性变化不显著;沿海拔梯度,0—20cm细菌群落组成可分为低(409—1018m),中(1018—1357m)和高(1410m)三个海拔聚集群落,20—40cm细菌群落组成随海拔无显著性变化;两土层细菌多样性与土壤pH显著正相关,土壤细菌群落组成在0...     

中国环境规制对旅游业碳排放强度影响的空间异质性

环境规制作为实现旅游低碳发展的重要动力之一,也是实现旅游业“碳达峰、碳中和”目标的有效路径。基于综合指数法和“自下而上”法,测度2005—2019年中国大陆30个省份(中国港澳台及西藏统计数据尚缺)的环境规制水平和旅游业碳排放强度,并借助面板回归模型和面板门槛模型探讨了环境规制对旅游业碳排放强度的影响及其区域异质性。结果表明：(1)研究期内,中国整体旅游业碳排放强度呈下降趋势;其中,中部地区下降趋势最为明显,其次分别为西部、东部和东北地区。(2)中国环境规制水平呈增长态势,其规制效应对胡焕庸线右侧的地区更为显著,并呈现出自东向西递减的梯度分布特征。(3)中国环境规制对旅游业碳排放强度存在明显的“倒逼减排”效应,但东北地区却存在一定的“绿色悖论”现象;环境规制对旅游业碳排放强度的影响存在单一阈值,当旅游能源强度小于阈值时,存在显著的“倒逼减排”效应,当旅游能源强度超过阈值时则存在“绿色悖论”效应。(4)东部地区环境规制未通过门槛效应检验;中部地区存在单个门槛值,环境规制有效促进旅游业碳排放强度的下降,不存在“绿色悖论”现象;西部和东北地区分别存在单、双门槛效应,环境规制对旅游业碳排放强度...     

城市生态系统长期观测研究站及其主要任务

随着对城市人居环境质量高度关注,城市生态学越来越受到重视。城市生态系统长期观测研究站(简称城市生态站),作为能够跟踪和研究城市生态系统长期变化规律的一种研究手段,在国内外得到了较快发展。在分析国内外城市生态站的研究经验和实践过程基础上,提出了城市生态站的科学目标、研究内容和主要工作,特别就城市生态站的观测工作、模拟实验工作和社会服务的基本框架和工作内容进行了论述,可以作为城市生态站建设的设计思路。为我国新建和完善城市生态站工作提供重要指导作用。     

环境DNA在两栖动物监测中的应用研究进展

两栖动物是我国受威胁程度最高的动物类群,加强两栖动物资源调查和多样性监测,是开展两栖动物保护和濒危物种拯救行动的关键性基础工作。传统的两栖动物监测主要以形态学和声学为基础,耗时费力,且难以发现一些隐蔽性较强的稀有物种。基于环境DNA(environmental DNA, eDNA)的调查方法以其快速、灵敏、高效、无创等独特优势,为两栖动物多样性监测及保护提供了新的工具。综述了eDNA在两栖动物多样性监测、外来入侵和珍稀濒危物种调查、物种丰度或生物量估测等研究领域的应用进展,分析了两栖动物eDNA产生、扩散、迁移和降解的动态变化特征及其关键影响因子,探讨了eDNA应用于两栖动物监测研究的局限性并提出了优化建议,同时对未来的研究方向进行了展望,以充分挖掘eDNA在两栖动物监测中的应用潜力,为两栖动物多样性保护和管理提供新的思路。