The role of raw materials to achieve the Sustainable Development Goals: Tracing the risks and positive contributions of cobalt along the lithium-ion battery supply chain

Given the fast-growing demand for electric mobility, the European Union (EU) has invested in responsible sourcing of battery raw materials, but the sustainability of their value chains is not fully addressed. Life cycle sustainability assessment is a tool to identify social, economic, and environmental aspects of raw materials, but it is mostly used for negative impacts, whereas the supply and use of raw materials may also lead to benefits. The Sustainable Development Goals (SDGs) can help to determine how raw materials boost or hinder the achievement of a sustainable society. In this study, the SDGs were used as a reference to assess contributions and risks of cobalt supply for electric mobility in the EU and whether this technology supports the achievement of the SDGs. The risks were determined using eight indicators focused on social risks, but environmental aspects like water quality and usage, and greenhouse gas emissions were also considered. The literature and databases were consulted to identify which SDGs receive contributions or burdens. Global and European cobalt supply scenarios were defined, considering the most representative countries. Results indicate that, although some SDGs receive positive contributions, like SDG 8 (Decent work and economic growth) and SDG 13 (Climate action), most of the identified correlations are negative, especially for SDG 3 (Good health and well-being) and SDG 16 (Peace, justice, and strong institutions). The European scenario has a low risk toward socio-environmental issues in 53% of the assessed aspects, whereas the global scenario presents a high risk in 47% of them.     

Evaluating sustainability impacts of critical mineral extractions: Integration of life cycle sustainability assessment and SDGs frameworks

The extraction of critical minerals used in clean technologies has profound impacts on sustainable development goals (SDGs). Life cycle sustainability assessment (LCSA) is used to evaluate the sustainability impacts of products and services, but few frameworks exist to support SDGs assessment for the “green minerals” extraction. Here, we propose a mining-specific framework identifying linkages between LCSA and SDGs, along with a process to integrate methods and data. As a proof of concept, we assess the LCSA performance and local-community level SDG impacts of a nickel mining project in Indonesia. Integrating remote sensing, media sources, stakeholder's data, and expert opinion, we find that LCSA encompasses all 17 goals but only a subset of targets and indicators. The study highlights the need to incorporate indigenous people's perspectives in both LCSA and SDG assessments, and points to priority areas for improving life cycle sustainability and SDG outcomes: fighting corruption, protecting cultural heritage, and reducing greenhouse gas emissions. We suggest that this framework can inform corporate social responsibility activities, as well as consumer choices for low-carbon technologies.     

Green batteries for clean skies: Sustainability assessment of lithium-sulfur all-solid-state batteries for electric aircraft

The use of novel battery technologies in short-haul electric aircraft can support the aviation sector in achieving its goals for a sustainable development. However, the production of the batteries is often associated with adverse environmental and socio-economic impacts, potentially leading to burden shifting. Therefore, this paper investigates alternative technologies for lithium–sulfur all-solid-state batteries (LiS-ASSBs) in terms of their contribution to the sustainable development goals (SDGs). We propose a new approach that builds on life cycle sustainability assessment and links the relevant impact categories to the related SDGs. The approach is applied to analyze four LiS-ASSB configurations with different solid electrolytes, designed for maximum specific energy using an electrochemical model. They are compared to a lithium–sulfur battery with a liquid electrolyte as a benchmark. The results of our cradle-to-gate analysis reveal that the new LiS-ASSB technologies generally have a positive contribution to SDG achievement. However, the battery configuration with the best technical characteristics is not the most promising in terms of SDG achievement. Especially variations from the technically optimal cathode thickness can improve the SDG contribution. A sensitivity analysis shows that the results are rather robust against the weighting factors within the SDG quantification method.     

Shifting states,shifting services: Linking regime shifts to changes in ecosystem services of shallow lakes

1. Shallow lakes can shift between stable states as a result of anthropogenic or natural drivers. Four common stable states differ in dominant groups of primary producers: submerged, floating, or emergent macrophytes or phytoplankton. Shifts in primary producer dominance affect key supporting, provisioning, regulating, and cultural ecosystem services supplied by lakes. However, links between states and services are often neglected or unknown in lake management, resulting in conflicts and additional costs.
2. Here, we identify major shallow lake ecosystem services and their links to Sustainable Development Goals (SDGs), compare service provisioning among the four ecosystem states and discuss potential trade‐offs.
3. We identified 39 ecosystem services potentially provided by shallow lakes. Submerged macrophytes facilitate most of the supporting (86%) and cultural (63%) services, emergent macrophytes facilitate most regulating services (60%), and both emergent and floating macrophytes facilitate most provisioning services (63%). Phytoplankton dominance supports fewer ecosystem services, and contributes most to provisioning services (42%).
4. The shallow lake ecosystem services we identified could be linked to 10 different SDGs, notably zero hunger (SDG 2), clean water and sanitation (SDG 6), sustainable cities and communities (SDG 11), and climate action (SDG13).
5. We highlighted several trade‐offs (1) among ecosystem services, (2) within ecosystem services, and (3) between ecosystem services across ecosystems. These trade‐offs can have significant ecological and economic consequences that may be prevented by early identification in water quality management.
6. In conclusion, common stable states in shallow lakes provide a different and diverse set of ecosystem services with numerous links to the majority of SDGs. Conserving and restoring ecosystem states should account for potential trade‐offs between ecosystem services and preserving the natural value of shallow lakes.

     

Methodological framework to find links between life cycle sustainability assessment categories and the UN Sustainable Development Goals based on literature

Life cycle sustainability assessment (LCSA) can be used as a tool to understand how products and operating systems can meet the United Nations’ Sustainable Development Goals (SDGs). However, existing linkages between SDGs and LCSA are limited and an analysis of coverage in literature is needed. In this paper, we propose a generic methodological framework establishing connections between LCSA categories at micro-level and SDGs at macro-level based on derivation from the literature. The qualitative heuristic research method developed builds on keyword literature search, bibliometric analysis, mapping, and narrative literature review for connection rationales. By using qualitative assessment levels, an assessment of linkages between LCSA categories and SDGs reveal that “technology development,” “public commitment to sustainability issues,” “access to material resources,” and “education provided in the local community” have the highest number of reported relationships with SDGs. Twenty-two LCSA categories were found with no direct/indirect connection with any SDG; reasons include absence of life cycle thinking perspective in SDGs and lack of sustainability-based discussion for workers, consumers, and value chain actors' stakeholder groups. Despite these gaps, the results provide new insights for industries looking to measure the contribution of their product systems along their life cycle in the context of SDGs supporting them to some extent, to select LCSA categories with either highest number of identified relationships to SDGs or that contribute to prioritized list of SDGs. The approach provides a starting point to improve transparency and consistency of reporting of sustainability performance of product systems by connecting LCSA to the global agenda for sustainable development.     

黄河流域可持续发展评估及协同发展策略

作为我国重要的生态屏障和经济带,黄河流域生态保护和高质量发展是我国的重大战略需求。目前,黄河流域水资源利用效率较低、水资源配置不甚合理等问题,阻碍了流域整体的可持续发展。以黄河流域上、中、下游9个省份作为研究对象,引入目标间均衡度这一新的评估方法,通过分析上中下游在可持续发展目标达成状况、发展路径、对黄河水资源的依赖程度和工农业用水效率等方面的差异,探讨了基于水资源优化利用的协同发展策略。研究结果表明：(1)2000—2015年间,黄河九省的可持续发展指数都有了显著提高,在不考虑各可持续发展目标间的均衡度时,中下游地区的可持续发展状况显著优于上游地区,考虑均衡度后则未发现显著差异;(2)忽略均衡度对评估结果带来的偏差也体现在省级层面上,如宁夏和山西在不考虑均衡度时都被认为取得了良好的发展,但实际上两者的发展主要体现在少部分目标上,和环境保护相关的部分目标反而出现了退步,这说明不考虑均衡度可能会高估可持续发展目标达成度;(3)黄河流域上中下游均有对黄河水资源较为依赖的省份,这些省份间工农业用水量和用水效率等存在较大差异,总体来看,上游地区用水效率较低,中下游地区用水效率较高;(4)取水量...     

后疫情时代全球可持续发展目标加速行动的推动

“SDGs加速行动”是国际组织、政府部门、私营机构和其他利益攸关方为加快落实2030年可持续发展议程采取的全球行动。2019年联合国可持续发展目标峰会后，政府、国际组织、私营部门等提出了214项SDGs加速行动。2019年爆发的新型冠状病毒肺炎（Corona Virus Disease 2019，COVID-19）对实现可持续发展目标带来了系列影响，后疫情时代如何推动全球SDGs加速行动的实施成为重要的问题。对可持续发展评估报告（2019）和可持续发展目标加速行动等政策文件进行信息提取，建立加速行动匹配性指数模型和各国应对新冠疫情的恢复力指数模型，根据匹配性-恢复力分类体系将各国按照17项可持续发展目标分为9类，为推动后疫情时代全球可持续发展目标加速行动提供支撑。研究发现：（1）现有可持续发展目标加速行动的实施与区域需求不匹配，且这种不匹配的情况在COVID-19爆发前已经出现；（2）加速行动的实施受限于现有可持续发展水平和国家经济基础，区域关注的可持续发展目标与其自然地理位置和社会发展水平有着密切的关系，多边组织机构和其他利益攸关方需要在发展中国家大力推动可持续发展加速行动；（3）下一步实施加速行动需要加强国际间的合作，根据分类框架和可持续发展目标的关联关系，分重点推进加速行动的实施，完善可持续发展指标监测体系，分类设立后疫情时代不同时期的阶段目标，分阶段循序渐进，定期反馈追踪，以在2030年促进17项可持续目标的实现。     

Successful delivery of nutrition programs and the sustainable development goals

Direct effects of nutrition on the Sustainable Development Goals (SDG) and proven interventions needed to reach SDG targets.

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Sustainable development of global supply chains—part 1: sustainability optimization framework

In global industry supply chains, environmental sustainability optimization addresses the overall consumption of resources and energy, the reduction of carbon emissions and generated waste to name a few. In this paper, we propose a holistic sustainability optimization framework for strategic network design of industry supply chains under consideration of economic, social as well as ecologic objectives. The framework is flexible to incorporate multiple sustainability indicators, alternative sustainability optimization strategies as well as a variety of internal and external industry-specific factors which impact the sustainability of the entire industry supply chain in the long-term. The core of the framework is an end-to-end closed-loop value chain model consisting of process, transport and product-in-use modules. For the first time, the product-in-use impact (“use” vs. “make”) is integrated in one network design approach. In addition, the model fully closes the loop from sourcing of raw materials via manufacturing towards reverse value chain steps such as disposal and recycling. Finally, we propose the minimize-time-to-sustainability approach as new optimization strategy for long-term network design problems focusing on minimizing the time, industry supply chain structures need to transform into sustainability steady states for all defined sustainability indicators such as CO₂e emissions, costs or social indicators based on defined target values. In part 2 of this paper the application of the optimization framework to the European automotive industry is shown.     

Genome-wide analysis of the SET DOMAIN GROUP family in grapevine

The SET DOMAIN GROUP (SDG) proteins represent an evolutionarily-conserved family of epigenetic regulators present in eukaryotes and are putative candidates for the catalysis of lysine methylation in histones. Plant genomes analyses of this family have been performed in arabidopsis, maize, and rice and functional studies have shown that SDG genes are involved in the control of plant development. In this work, we describe the identification and structural characterization of SDG genes in the Vitis vinifera genome. This analysis revealed the presence of 33 putative SDG genes that can be grouped into different classes, as it has been previously described for plants. In addition to the SET domain, the proteins identified possessed other domains in the different classes. As part of our study regarding the growth and development of grapevine, we selected eight genes and their expression levels were analyzed in representative vegetative and reproductive organs of this species. The selected genes showed different patterns of expression during inflorescence and fruit development, suggesting that they participate in these processes. Furthermore, we showed that the expression of selected SDGs changes during viral infection, using as a model Grapevine Leafroll Associated Virus 3-infected symptomatic grapevine leaves and fruits. Our results suggest that developmental changes caused by this virus could be the result of alterations in SDG expression.     

A framework for implementing holistic and integrated life cycle sustainability assessment of regional bioeconomy

Purpose

Currently, social, environmental, and economic risks and chances of bioeconomy are becoming increasingly a subject of applied sustainability assessments. Based on life cycle assessment (LCA) methodology, life cycle sustainability assessment (LCSA) aims to combine or integrate social, environmental, and economic assessments. In order to contribute to the current early stage of LCSA development, this study seeks to identify a practical framework for integrated LCSA implementation.

Methods

We select possible indicators from existing suitable LCA and LCSA approaches as well as from the literature, and allocate them to a sustainability concept for holistic and integrated LCSA (HILCSA), based on the Sustainable Development Goals (SDGs). In order to conduct a practical implementation of HILCSA, we choose openLCA, because it offers the best current state and most future potential for application of LCSA. Therefore, not only the capabilities of the software and databases, but also the supported methods of life cycle impact assessments (LCIA) are evaluated regarding the requirements of the indicator set and goal and scope of future case studies.

Results and discussion

This study presents an overview of available indicators and LCIAs for bioeconomy sustainability assessments as well as their link to the SDGs. We provide a practical framework for HILCSA of regional bioeconomy, which includes an indicator set for regional (product and territorial) bioeconomy assessment, applicable with current software and databases, LCIA methods and methods of normalization, weighting, and aggregation. The implementation of HILCSA in openLCA allows an integrative LCSA by conducting all steps in a single framework with harmonized, aggregated, and coherent results. HILCSA is capable of a sustainability assessment in terms of planetary boundaries, provisioning system and societal needs, as well as communication of results to different stakeholders.

Conclusions

Our framework is capable of compensating some deficits of S-LCA, E-LCA, and economic assessments by integration, and shows main advantages compared to additive LCSA. HILCSA is capable of addressing 15 out of 17 SDGs. It addresses open questions and significant problems of LCSAs in terms of goal and scope, LCI, LCIA, and interpretation. Furthermore, HILCSA is the first of its kind actually applicable in an existing software environment. Regional bioeconomy sustainability assessment is bridging scales of global and regional effects and can inform stakeholders comprehensively on various impacts, hotspots, trade-offs, and synergies of regional bioeconomy. However, significant research needs in LCIAs, software, and indicator development remain.

     

Wrist temperature and cortisol awakening response in humans with social jetlag in the North

The discrepancy between biological and social rhythms known as social jetlag (SJL) is common in modern society and has a range of negative consequences for cognitive functioning, well-being and health. Social jetlag is typical for people with late chronotypes. As shown earlier, the prevalence of individuals with a late chronotype is higher among the residents of high latitudes. Therefore, a higher rate of detection of people with SJL should be expected in the North. In this study we assessed the detection rate of SJL among 62 young inhabitants of the European North of Russia (the Komi Republic), and the relationship between SJL, the circadian rhythm of the wrist temperature, and the cortisol awakening response (CAR). The detection rate of SJL was 65% among the people examined. A significant decrease in the amplitude (A) of circadian rhythm of wrist temperature: (β = ?0.34 (CI 95%: ?0.66 to ?0.33); F_1,60 = 10.4; p < 0.0001; η² = 0.31), an increased incidence of depression: No-SJL = 4.5%; SJL = 17.5% (H = 4.84; p < 0.05), and a tendency for an increase in CAR was also observed in the SJL group. There were sex differences in sensitivity to SJL. Females with SJL but not males had higher global seasonality scores (β = 0.51 (CI 95%: 0.21 to 0.81); F_1,33 = 10.9; p < 0.002; η² =0.24), shorter sleep duration (β = ?0.52 (CI 95%: ?0.82 to ?0.22); F_1,33 = 12.9; p < 0.001; η² = 0.28), worse sleep quality (β = 0.39 (CI 95%: 0.07 to 0.72); F_1,33 = 6.31; p < 0.017; η² = 0.16) and lower A of circadian rhythm of wrist temperature (β = ?0.18 (CI 95%: ?0.55 to 0.18); F_1,33 = 4.48; p < 0.043; η² = 0.13) compared with females without SJL. Thus, our data indicate that 40 of 62 participants of investigation had social jetlag. A decrease of the amplitude of the circadian rhythm of the wrist temperature appears to be an objective marker of SJL. Social jetlag had a strong negative impact on females but not on males.     

Blood mercury concentrations in common bottlenose dolphins from the Indian River Lagoon,Florida: Patterns of social distribution

Social network analysis has been shown to be effective in studying the social structure of cetacean populations. Common bottlenose dolphins (Tursiops truncatus) inhabiting the Indian River Lagoon (IRL), Florida, have among the highest concentrations of total mercury (THg) in blood reported worldwide. The purpose of this study was to examine the relationship between THg concentrations in IRL dolphins and their social affiliations. Whole blood samples from 98 dolphins with photo‐identification sighting histories were collected between 2003–2007 and 2010–2012. Dolphins were categorized into approximate tertiles of low (mean 199.7 μg/L), medium (mean 366.8 μg/L), and high (mean 990.5 μg/L) THg exposure. Social associations between individual dolphins were defined by the proportion of sightings documented with another known individual. Social network measures of individuals and associations between dyads were examined to determine differences among THg categories. Strong social affiliations of individuals within the highest category of THg were found (P = 0.04), suggesting shared exposures among dolphins foraging in specific areas of the estuary. Network measures of strength and affinity were significantly higher in the highest exposure category. This report used social network analysis as a novel way to examine patterns of exposure to an environmental contaminant in a cetacean population.     

Socioeconomic indicators for sustainable design and commercial development of algal biofuel systems

Social and economic indicators can be used to support design of sustainable energy systems. Indicators representing categories of social well‐being, energy security, external trade, profitability, resource conservation, and social acceptability have not yet been measured in published sustainability assessments for commercial algal biofuel facilities. We review socioeconomic indicators that have been modeled at the commercial scale or measured at the pilot or laboratory scale, as well as factors that affect them, and discuss additional indicators that should be measured during commercialization to form a more complete picture of socioeconomic sustainability of algal biofuels. Indicators estimated in the scientific literature include the profitability indicators, return on investment (ROI) and net present value (NPV), and the resource conservation indicator, fossil energy return on investment (EROI). These modeled indicators have clear sustainability targets and have been used to design sustainable algal biofuel systems. Factors affecting ROI, NPV, and EROI include infrastructure, process choices, and financial assumptions. The food security indicator, percent change in food price volatility, is probably zero where agricultural lands are not used for production of algae‐based biofuels; however, food‐related coproducts from algae could enhance food security. The energy security indicators energy security premium and fuel price volatility and external trade indicators terms of trade and trade volume cannot be projected into the future with accuracy prior to commercialization. Together with environmental sustainability indicators, the use of a suite of socioeconomic sustainability indicators should contribute to progress toward sustainability of algal biofuels.     

Closing the loop: the power of microbial biotransformations from traditional bioprocesses to biorefineries,and beyond

The power of microorganisms in manipulating diverse matrices and in favouring the flux of elements and molecules through biogeochemical cycles developed in the natural environment, but they also managed to take advantage of some niches created by humans. Therefore, inspired by learning these lessons from nature, we can implement biobased processes at industrial level, for diminishing our dependency on fossil resources and to return molecules to their turnover in a compatible timeframe and with reduced environmental impact.

The decoupling between the economic (and demographical) growth rate and the availability of resources to sustain our production system is a fact (Sanyé‐Mengual et al., 2019). Similarly, there are scientific evidences underlying an interconnection (and consequences) between a polluted or corrupted environment and health (https://www.euro.who.int/en/health‐topics/environment‐and‐health), as well as reports asserting the anthropic responsibility of ‘opening the cycles of chemical elements’ (Finzi et al., 2011). Nevertheless, the myth of progress and linear growth is somehow very difficult to substitute in our mind and daily life, even because all‐pervasive alternatives are not available yet. On the other hand, every gap brings the potential of an opportunity. The linear model of growth is depleting fossil resources, as their turnover takes longer than their consumption. At the same time, it is generating large amounts of wastes, an abundant fraction of which are represented by organic wastes. This short‐sighted strategy also implies waste management and associated direct and indirect costs. In this challenging scenario, we as microbial biotechnologists are called (and willing!) to play a role. Unlocking the potential of microorganisms into industrial processes, we might offer the possibility to turn a problem (waste, pollution and lack of resources) into a solution (products, materials). This can happen because of the effectiveness of microorganisms in transforming molecules and in recycling chemical elements through biogeochemical cycles, known since the end of the XIX century, coupled with the more recent expertise on how to transform this tremendous potential into viable and competitive microbial‐based industrial processes. Microbial quantitative physiology, metabolic engineering, synthetic remodelling and process engineering are the main technologies that are innovating traditional fermentation processes, expanding the potential of biorefineries and allowing to reconsider the end of life of products and goods, with examples of industrial symbiosis. These processes aim at accomplishing some of the key tasks of the UN 2030 agenda in more than one of the 17 Sustainable Development Goals (SDG, https://sdgs.un.org/goals). We can mention SDG2 (zero hunger), SDG8 (decent work and economic growth), SDG9 (industry, innovation and infrastructure), SDG12 (responsible consumption and production) and SDG13 (climate action) among the more directly related ones, with an indirect but clear impact on others as well (https://biconsortium.eu/sites/biconsortium.eu/files/documents/Bioeconomy_and_the_SDGs_July%202018.pdf).To exemplify these concepts here are some examples of prominent groups of microorganisms that are either confirming their supremacy in industrial processes, or are emerging as future bugs, in both cases revealing how their potential can help us to turn our linear model of production into biobased and circular processes.     

A consequential approach to life cycle sustainability assessment with an agent-based model to determine the potential contribution of chemical recycling to UN Sustainable Development Goals

Chemical recycling (CR) could support a circular approach for municipal solid waste (MSW) treatment. In promoting the recirculation of recyclable carbon-containing waste as secondary feedstock for chemical production, it could contribute to resource conservation, emissions reduction, and supply security. To evaluate CR's contribution to the transition from a linear to a circular carbon economy—and correspondingly to the achievement of environmental, economic, and social sustainability as indicated in the UN Sustainable Development Goals (UN-SDGs)—this study builds on extant literature of life cycle sustainability assessment (LCSA) to investigate consequential environmental, economic, and social CR impacts. Specifically, an integrated approach whereby process-based life cycle assessment, techno-economic analysis, and social indicators are linked in the framework of an agent-based model is developed to investigate sustainability consequences of CR via gasification of residual MSW in Germany. Results suggest that CR contributes to reducing climate change and to addressing terrestrial acidification and fossil resource scarcity. However, its deployment will be associated with significant system costs. Hence, to promote CR implementation, measures such as obliging direct waste incineration to trade CO₂ certificates—provided that certificate prices increase sharply in the future—as well as implementing a recycling rate are found to be necessary to gap economic disadvantages. This study not only contributes to extending life cycle approaches for LCSA methodologically, it furthermore provides valuable insights into temporal and spatial interactions in waste management systems to inform science, industry, and politics about the sustainability impacts of CR on the achievement of the UN-SDGs. This article met the requirements for a gold-gold JIE data openness badge described at http://jie.click/badges .      

Linking Ocean's Benefits to People (OBP) with Integrated Ecosystem Assessments (IEAs)

The fundamental challenge of the inclusion of the human dimension of the oceans in the Integrated Ecosystem Assessments (IEAs) provides an opportunity for a transdisciplinary approach to create synergies between the current research by the International Council for the Exploration of the Sea (ICES) and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). We have highlighted the importance of ocean inequality as a critical aspect to consider to unlock current barriers to integrate social sciences in marine integrated assessments. To create bridges between them, we develop an Ocean's Benefits to People (OBP) framework that embraces the blue economy, equity, the UN SDGs goals and support an Ecosystem-Based Management (EBM) for the oceans.     

可持续发展目标关系研究进展

《2030可持续发展议程》指出17项可持续发展目标之间存在着相互联系,并且是整体而不可分割的,但并未说明各项目标之间是如何相关联的,因此限制了可持续发展目标的落实。理清各项可持续发展目标之间的关系,是加快可持续发展目标落实、促进政策一致性实现的保障。由于我国目前关于此方面的报道非常有限,因此有必要对17项可持续发展目标之间关系的研究进展进行总结。为了较全面的了解研究背景,首先简要回顾了千年发展目标到可持续发展目标的转变过程;随后在综合分析已有文献内容的基础上,分别从"联结途径""相互作用程度""网络分析""可持续发展目标模型"以及"执行手段"等五个方面对已有研究进行了论述,并总结当前研究的不足与未来挑战;最后分析了当前研究对我国未来可持续发展目标落实的启示,主要包括:(1)明确我国各项可持续发展目标的关系,促进不同层级政府和管理部门间政策一致性的实现;(2)完善指标监测体系,消除数据缺口;(3)加快构建我国可持续发展目标模型。     

Functional group bridge for simultaneous regression and support estimation

This paper is motivated by studying differential brain activities to multiple experimental condition presentations in intracranial electroencephalography (iEEG) experiments. Contrasting effects of experimental conditions are often zero in most regions and nonzero in some local regions, yielding locally sparse functions. Such studies are essentially a function-on-scalar regression problem, with interest being focused not only on estimating nonparametric functions but also on recovering the function supports. We propose a weighted group bridge approach for simultaneous function estimation and support recovery in function-on-scalar mixed effect models, while accounting for heterogeneity present in functional data. We use B-splines to transform sparsity of functions to its sparse vector counterpart of increasing dimension, and propose a fast nonconvex optimization algorithm using nested alternative direction method of multipliers (ADMM) for estimation. Large sample properties are established. In particular, we show that the estimated coefficient functions are rate optimal in the minimax sense under the L₂ norm and resemble a phase transition phenomenon. For support estimation, we derive a convergence rate under the $L_{\infty }$ norm that leads to a selection consistency property under δ-sparsity, and obtain a result under strict sparsity using a simple sufficient regularity condition. An adjusted extended Bayesian information criterion is proposed for parameter tuning. The developed method is illustrated through simulations and an application to a novel iEEG data set to study multisensory integration.