Environmental Science and Ecotechnology最新文献_第6页

Restoring landscapes and communities: Insights from critical, urban, and plant ecology 恢复景观和社区：来自关键、城市和植物生态学的见解

IF 14.3 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-09-01 Epub Date: 2025-07-12 DOI: 10.1016/j.ese.2025.100601

Alexandria N. Igwe , Karlisa A. Callwood , Delia S. Shelton

Humans shape the world through policies, practices, and behavior that create environmental heterogeneity. Political and critical ecology offer frameworks for understanding how societies have historically and currently used power, policies, and practices to shape environmental landscapes and conditions, ultimately influencing the ecology and evolution of biodiversity. We suggest that integrating political and critical ecology can enhance our understanding of anthropogenic influences, such as luxury effects and legacy effects, including redlining—a form of structural racism implemented in the United States. Here, we review the consequences of legacy and luxury effects on urban ecosystems, with a focus on their impact on the fauna and flora. We propose that legacy and luxury effects can have independent and interdependent influences on ecological diversity, abundance, biological invasions, and pollution exposure. Although these effects can persist, environmental remediation may provide a pathway to restorative justice. We also discuss Plantago, herbaceous plants with the potential to mitigate the impacts of cadmium, a notorious environmental contaminant whose disposition parallels redlining patterns. Phytoremediation can contribute to biofuels, biofoundries, and the green economy, offering solutions to restore affected communities. By applying political and critical ecology lenses, we can identify socio-ecological mechanisms that affect humans and the environment. These insights can inform the development of green infrastructure to help remediate adverse effects. Ideally, these approaches provide pathways to address historical injustices, enhance equity, and restore ecological landscapes.

人类通过创造环境异质性的政策、实践和行为来塑造世界。政治生态学和批判生态学为理解社会在历史上和当前如何使用权力、政策和实践来塑造环境景观和条件，最终影响生态和生物多样性的进化提供了框架。我们认为，整合政治生态学和批判生态学可以增强我们对人为影响的理解，如奢侈效应和遗产效应，包括在美国实施的一种结构性种族主义形式。在这里，我们回顾了遗产和奢侈品对城市生态系统的影响，重点是它们对动植物的影响。我们认为遗产效应和奢侈效应对生态多样性、丰度、生物入侵和污染暴露具有独立和相互依存的影响。尽管这些影响可能持续存在，但环境补救可能为恢复性司法提供一条途径。我们还讨论了车前草，草本植物具有减轻镉影响的潜力，镉是一种臭名昭著的环境污染物，其处置方式与红线模式相似。植物修复可以促进生物燃料、生物铸造厂和绿色经济，为恢复受影响的社区提供解决方案。通过运用政治和批判生态学的视角，我们可以确定影响人类和环境的社会生态机制。这些见解可以为绿色基础设施的发展提供信息，以帮助纠正不利影响。理想情况下，这些方法提供了解决历史不公正、增强公平和恢复生态景观的途径。

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引用次数: 0

Real-time sludge moisture monitoring via jet imaging and deep learning 通过喷射成像和深度学习实时监测污泥水分

IF 14.3 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-09-01 Epub Date: 2025-08-28 DOI: 10.1016/j.ese.2025.100614

Tiefu Xu , Bo Zhang , Yue Sun , Man Wang , Yuejia Chen , Penghe Zhu , Binqiao Ren , Yanhong Jie , Guotao Wang

Waste activated sludge from wastewater treatment plants poses a major environmental challenge, with its high moisture content complicating disposal and resource recovery processes across global industries. Efficient sludge management requires precise moisture monitoring to optimize treatment methods, reduce costs, and enhance outcomes such as anaerobic digestion and composting. Traditional approaches for moisture measurement are time-intensive and batch-based, while emerging techniques, such as infrared or nuclear magnetic resonance methods, suffer from inaccuracies, high costs, or limitations in real-time applications. Here we show that sludge jet characteristics, reflecting its non-Newtonian fluid properties, can be captured via high-speed imaging and analyzed with deep learning to accurately predict moisture content within 20 s. By developing a laboratory-scale system of instantaneous capturing of activated sludge jet expansion images (iCASJEI), we acquired over 11,000 jet images across 79–94 % moisture ranges and trained convolutional neural networks, with VGG-16 outperforming AlexNet and LeNet under optimized conditions (0.2 MPa pressure, 4 mm aperture), achieving 93.5 % validation accuracy at 2 % precision and 87.6 % at 1 % precision. These findings show that incorporating iCASJEI to extract non-Newtonian fluid characteristics from sludge jets with deep learning algorithms can substantially reduce testing time for sludge moisture content. This approach could also be applicable to other sectors where non-Newtonian fluid characteristics enable real-time moisture detection in viscous liquids.

来自污水处理厂的废弃活性污泥对环境构成了重大挑战，其高水分含量使全球工业的处理和资源回收过程复杂化。有效的污泥管理需要精确的水分监测，以优化处理方法，降低成本，并提高厌氧消化和堆肥等结果。传统的水分测量方法耗时且基于批量，而新兴技术，如红外或核磁共振方法，在实时应用中存在不准确、高成本或限制。本研究表明，反映其非牛顿流体特性的污泥射流特性可以通过高速成像捕获，并通过深度学习进行分析，从而在20秒内准确预测水分含量。通过开发一个实验室规模的即时捕获活性污泥射流膨胀图像（iCASJEI）系统，我们在79 - 94%的湿度范围内获得了超过11,000张射流图像，并训练了卷积神经网络，vgg16在优化条件（0.2 MPa压力，4 mm孔径）下优于AlexNet和LeNet，在2%精度下达到93.5%的验证精度，在1%精度下达到87.6%。这些研究结果表明，将iCASJEI与深度学习算法结合，从污泥射流中提取非牛顿流体特性，可以大大减少污泥含水率的测试时间。这种方法也可以应用于其他领域，在这些领域中，非牛顿流体特性可以实时检测粘性液体中的水分。

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引用次数: 0

Quantifying greenhouse gas emissions from wastewater treatment plants: A critical review 量化温室气体排放从污水处理厂：一个关键的审查

IF 14.3 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-09-01 Epub Date: 2025-07-25 DOI: 10.1016/j.ese.2025.100606

Xinyue He , Haiyan Li , Juanjuan Chen , Huan Wang , Lu Lu

Greenhouse gas (GHG) emissions from wastewater treatment plants (WWTPs) are increasingly recognized as significant contributors to anthropogenic climate change, primarily through the release of methane (CH₄), nitrous oxide (N₂O), and carbon dioxide (CO₂). Current research on GHG quantification in WWTPs predominantly relies on estimated emission factors. However, this introduces substantial uncertainties in emission estimates due to limited in situ measurements and variability in quantification methods. Here we review advances in GHG measurement techniques, integrating literature data with our in situ studies. We show that unit-based methods, such as flux chambers and optical gas imaging, pinpoint emission hotspots in individual processes, while plant-integrated approaches—like tracer gas dispersion, mobile laboratories and aerial surveys—deliver comprehensive plant-scale estimates. These techniques reveal wide variability in emissions, with CH₄ rates spanning 0.04–427 kg h⁻¹ and N₂O up to 22.1 kg h⁻¹, but most studies are short-term, gas-specific and neglect fossil CO₂, which can inflate IPCC inventories by up to 22.8 % upon inclusion. Technology- and plant-specific emission factors, calibrated via on-site data, markedly enhance accuracy by accounting for local factors like treatment processes and influent composition. We call for national emission inventories via long-term, multi-gas measurements, guiding targeted mitigation strategies and transforming WWTPs toward carbon-neutral, climate-smart infrastructures.

废水处理厂（WWTPs）的温室气体（GHG）排放越来越被认为是人为气候变化的重要贡献者，主要是通过释放甲烷（CH4）、氧化亚氮（N2O）和二氧化碳（CO2）。目前关于污水处理厂温室气体量化的研究主要依赖于估算的排放因子。然而，由于有限的现场测量和量化方法的可变性，这给排放估算带来了很大的不确定性。在这里，我们回顾了温室气体测量技术的进展，将文献数据与我们的原位研究相结合。我们表明，基于单元的方法，如通量室和光学气体成像，可以精确定位单个过程中的排放热点，而工厂集成方法，如示踪气体分散、移动实验室和航空测量，可以提供全面的工厂规模估计。这些技术揭示了排放的广泛变异性，CH4速率范围为0.04-427 kg h - 1， N2O速率可达22.1 kg h - 1，但大多数研究是短期的、特定于气体的，并且忽略了化石二氧化碳，一旦纳入，化石二氧化碳可使IPCC清单膨胀22.8%。通过现场数据校准的技术和工厂特定排放因子，通过考虑处理过程和进水成分等当地因素，显著提高了准确性。我们呼吁通过长期、多种气体测量建立国家排放清单，指导有针对性的缓解战略，并将污水处理厂转变为碳中和、气候智能型的基础设施。

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引用次数: 0

How soon will landfilled plastics integrate into the geological carbon cycle? 填埋的塑料要多久才能融入地质碳循环？

IF 14 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-07-01 Epub Date: 2025-06-24 DOI: 10.1016/j.ese.2025.100590

Yicheng Yang , Junjie Qiu , Hua Zhang , Pinjing He , Fan Lü

Approximately half of plastic waste ends up in landfills, where fragmentation leads to the leakage of microplastics, nanoplastics, and petrogenic carbon back into ecosystems. However, the timeframe for plastic re-entry into the geological carbon cycle remains unknown. Using landfill-derived field data, we developed a model predicting fragmentation of various polymers into macroplastics, microplastics, fine microplastics, and nanoplastics. We find total waste plastic concentrations range from 85 to 414 mg g⁻¹, with microplastic, fine microplastic, and nanoplastic generation rates of 2–69, 0.5–36.8, and 0.04–1.9 mg per g of plastic, respectively. Plastic distribution depends more on landfill depth than disposal age. Polyethylene terephthalate fragments faster than polypropylene or polyethylene. Our model predicts peak microplastic and fine microplastic fractions within 157–382 and 412–2118 years, respectively, with approximately half of the plastic-derived carbon available for geological cycling in 80–208 years. This research helps clarify the environmental fate of pervasive plastic pollution.

大约一半的塑料垃圾最终被填埋，在那里，碎片化导致微塑料、纳米塑料和岩石碳泄漏回生态系统。然而，塑料重新进入地质碳循环的时间框架仍然未知。利用垃圾填埋场的现场数据，我们开发了一个模型，预测各种聚合物分裂成宏观塑料、微塑料、细微塑料和纳米塑料。我们发现废塑料的总浓度范围为85至414 mg g - 1，微塑料、细微塑料和纳米塑料的生成率分别为2-69、0.5-36.8和0.04-1.9 mg / g塑料。塑料的分布更多地取决于填埋场的深度，而不是处理时间。聚对苯二甲酸乙二醇酯碎片比聚丙烯或聚乙烯快。我们的模型预测微塑料和细微塑料的峰值分别在157-382年和412-2118年，大约一半的塑料衍生碳在80-208年可用于地质循环。这项研究有助于澄清普遍存在的塑料污染的环境命运。

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引用次数: 0

Water conservation strategies reduce greenhouse gas emission from wastewater treatment plants: A domino effect 节水策略减少废水处理厂的温室气体排放：多米诺骨牌效应

IF 14 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-07-01 Epub Date: 2025-05-27 DOI: 10.1016/j.ese.2025.100574

Zixiang He , Rupeng Wang , Jifeng Wang , Honglin Chen , Shiyu Zhang , Ke Wang , Junjiang Lai , Nanqi Ren , Shih-Hsin Ho

Wastewater-treatment plants (WWTPs) enable urban water reclamation but are significant sources of greenhouse-gas (GHG) emissions. Because GHG output scales with the volume and pollutant load of influent sewage, city-wide water-use patterns offer a direct yet under-examined lever for decarbonizing WWTP operations. The feedbacks linking demand-side water conservation to plant emissions remain poorly understood, obscuring important mitigation co-benefits. Here we show a domino-effect feedback between urban water-use patterns with WWTP carbon emissions. Our analysis demonstrates that optimized water management can improve average WWTP eco-efficiency by up to 189 %, leading to an annual reduction in water consumption of 48.3 billion m³ and a decrease in GHG emissions by 1.67 million tons CO₂-equivalent. Under this synergistic water-carbon management scenario, the wastewater sector could achieve carbon neutrality by 2037, seven years ahead of schedules based solely on technological advancements. Our findings present a novel and replicable framework that simultaneously addresses water scarcity and climate change. Unlike costly and slow-to-implement technological innovations, leveraging cross-sectoral synergies in water-intensive industries such as agriculture and manufacturing offers a pragmatic pathway to meeting critical carbon-reduction targets.

污水处理厂（WWTPs）实现了城市水的回收利用，但也是温室气体（GHG）排放的重要来源。由于温室气体排放量与流入污水的体积和污染物负荷成正比，因此城市范围内的用水模式为污水处理厂的脱碳操作提供了一个直接但尚未得到充分研究的杠杆。人们对需求侧节水与工厂排放之间的反馈关系了解甚少，从而模糊了重要的缓解协同效益。在这里，我们展示了城市用水模式与污水排放碳排放之间的多米诺效应反馈。我们的分析表明，优化的水资源管理可以将污水处理厂的平均生态效率提高189%，从而每年减少483亿立方米的用水量，减少167万吨二氧化碳当量的温室气体排放。在这种水-碳协同管理情景下，废水行业可以在2037年实现碳中和，比仅依靠技术进步的计划提前7年。我们的研究结果提出了一个新颖的、可复制的框架，可以同时解决水资源短缺和气候变化问题。与成本高昂且实施缓慢的技术创新不同，利用农业和制造业等用水密集型行业的跨部门协同效应，为实现关键的碳减排目标提供了一条务实的途径。

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引用次数: 0

Future-proofing CO2 mitigation towards a circular economy: A systematic review on process integration and advanced tools 面向循环经济的面向未来的二氧化碳减排：对流程集成和先进工具的系统审查

IF 14 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-07-01 Epub Date: 2025-06-07 DOI: 10.1016/j.ese.2025.100587

Divya Baskaran , Hun-Soo Byun

Mitigating carbon dioxide (CO₂) emissions, which are a principal contributor to global warming, necessitates prompt and proactive measures. This systematic review evaluates advanced process integration and optimization tools, highlighting the need for a circular economy paired with efficient waste management to achieve effective CO₂ reduction. We systematically examine, for the first time, the applications and limitations of pinch analysis, Process-graph (P-graph), artificial intelligence (AI), computer-aided sustainable design (CASD), Internet-of-Things (IoT) sensor networks, and hierarchical blockchain frameworks. AI alone could save 2.6–5.3 gigatonnes of CO₂ by 2030, and its integration with CASD and IoT enables more sophisticated mitigation strategies. We recommend comprehensive carbon-offset frameworks and green-finance mechanisms to strengthen carbon-trading systems. Circular-economy measures for waste-driven CO₂ reduction remain under-represented in national climate policies owing to cross-sectoral complexity. Future work should advance interdisciplinary tools data science, system modeling, and decision-support frameworks and expand economic-feasibility studies of optimization strategies. Ensuring rigorous data quality, variability accounting, integration, transparency, and replicability is essential. Lastly, sustained collaboration among engineers, scientists, policymakers, and stakeholders is critical for developing scalable, sustainable solutions to climate change.

二氧化碳是导致全球变暖的主要原因，减少二氧化碳的排放需要采取迅速和积极的措施。本系统综述评估了先进的工艺集成和优化工具，强调了循环经济与高效废物管理相结合的必要性，以实现有效的二氧化碳减排。我们首次系统地研究了夹点分析、过程图（P-graph）、人工智能（AI）、计算机辅助可持续设计（CASD）、物联网（IoT）传感器网络和分层区块链框架的应用和局限性。到2030年，仅人工智能就可以节省26 - 53亿吨二氧化碳，它与CASD和物联网的结合可以实现更复杂的缓解战略。我们建议建立全面的碳抵消框架和绿色金融机制，以加强碳交易体系。由于跨部门的复杂性，针对废物驱动的二氧化碳减排的循环经济措施在国家气候政策中的代表性仍然不足。未来的工作应该推进跨学科工具、数据科学、系统建模和决策支持框架，并扩大优化策略的经济可行性研究。确保严格的数据质量、可变性会计、集成、透明度和可复制性至关重要。最后，工程师、科学家、政策制定者和利益相关者之间的持续合作对于制定可扩展的、可持续的气候变化解决方案至关重要。

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引用次数: 0

Microplastic pollution threatens mangrove carbon sequestration capacity 微塑料污染威胁着红树林的固碳能力

IF 14 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-07-01 Epub Date: 2025-07-05 DOI: 10.1016/j.ese.2025.100593

Xiaotong He , Shiguang Xu , Han Ren , Xiaobing Yang , Feizhou Su , Shuo Gao , Chenxi Xie , Junhui Zhao , Zhan Jin , Xiangjin Shen , Rongxiao Che , Derong Xiao

Microplastics are a pervasive environmental pollutant, altering microbial communities and disrupting global biogeochemical cycles. Mangrove forests, critical blue carbon habitats, are significant sinks for microplastic accumulation, yet they also cycle large amounts of methane, a potent greenhouse gas. The effect of plastic pollution on methane dynamics in these vital habitats remains, however, poorly understood. Here we show that microplastic pollution in mangrove soils is linked to an increased potential for methane production by favouring methanogenic archaea. Through a nationwide survey of Chinese mangroves, we found that microplastic concentrations were higher (6516 ± 1725 particles kg⁻¹) in surface soils (0–20 cm) and exhibited stronger association with methane-cycling microbes (four linkage pathways), compared to concentrations (2246 ± 497 particles kg⁻¹) and two linkage pathways in deeper soils (20–40 cm). Microplastics in topsoil were correlated with more complex microbial networks, consisting of 150 nodes and 237 links, relative to 113 nodes and 196 links in deeper soils. Furthermore, we directly linked elevated microplastic pollution in surface soils to secondary industry output, which positively correlated with the methanogens-to-methanotrophs gene ratio, establishing a clear anthropogenic driver for this shift. These findings reveal a critical, previously unrecognized mechanism by which industrial plastic pollution may compromise the net carbon sequestration capacity of mangrove ecosystems. Mitigating microplastic discharge is therefore not only a waste management issue but is also essential for preserving the climate-regulating function of these crucial habitats amid global conservation efforts.

微塑料是一种普遍存在的环境污染物，改变了微生物群落，破坏了全球生物地球化学循环。红树林是关键的蓝碳栖息地，是微塑料积累的重要汇，但它们也循环大量的甲烷，一种强有力的温室气体。然而，塑料污染对这些重要栖息地甲烷动态的影响仍然知之甚少。在这里，我们表明，红树林土壤中的微塑料污染有利于产甲烷古菌，从而增加了甲烷生产的潜力。通过对中国红树林的全国性调查，我们发现，与深层土壤（20-40 cm）的浓度（2246±497颗粒kg - 1）和两个连锁途径相比，表层土壤（0-20 cm）的微塑料浓度（6516±1725颗粒kg - 1）更高，与甲烷循环微生物（4个连锁途径）的关联更强。表层土壤中的微塑料与更复杂的微生物网络相关，包括150个节点和237个链接，而深层土壤中的微塑料网络由113个节点和196个链接组成。此外，我们将表层土壤微塑料污染的升高与第二产业产出直接联系起来，这与产甲烷菌与产甲烷菌的基因比例呈正相关，从而明确了这一转变的人为驱动因素。这些发现揭示了一个关键的、以前未被认识到的机制，通过这个机制，工业塑料污染可能会损害红树林生态系统的净固碳能力。因此，减少微塑料排放不仅是一个废物管理问题，而且对于在全球保护努力中保持这些重要栖息地的气候调节功能也至关重要。

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引用次数: 0

Shifting regional development scenarios amplify legacy phosphorus threats to water quality 不断变化的区域发展情景放大了遗留的磷对水质的威胁

IF 14 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-07-01 Epub Date: 2025-05-09 DOI: 10.1016/j.ese.2025.100569

Wei Zhan , Yedong Gao , Haoran Zhang , Yu Tian , Yanan Zou , Xiang Li , Huihang Sun , Lipin Li , Yaruo Jin , Jiaxin Cao , Yiming Liu , Nanqi Ren

Legacy phosphorus, accumulated from past anthropogenic activities, poses persistent and complex threats to global water quality. Despite extensive efforts to control phosphorus inputs, legacy phosphorus can persist for decades and undermine restoration goals. Emerging evidence suggests that shifts in regional development patterns profoundly reshape the dynamics and environmental risks of legacy phosphorus accumulation and mobilization. However, the mechanisms by which development pattern shifts reshape legacy phosphorus trajectories remain poorly understood. Here we show the complex pathways linking development-driven land-use changes, biogeochemical buffering capacities, and legacy phosphorus mobilization through an integrative modeling framework that couples developmental shift coefficients, anthropogenic phosphorus inventories, and riverine time-lag modeling to diagnose and predict long-term legacy phosphorus risks. Using the Songhua River as a case study, our results reveal that shifts from industrial to agricultural dominance significantly amplify legacy phosphorus accumulation by 86 times. Consequently, legacy phosphorus accounts for 65.4 %–69.9 %, surpassing current-year inputs and becoming the primary driver of riverine pollution. Furthermore, we demonstrate that development shifts systematically alter the dominant controlling factors, from fossil fuel emissions and drainage infrastructure to soil retention characteristics and agricultural practices, reshaping mitigation priorities. Our framework provides a generalizable methodology for quantifying legacy phosphorus risks under dynamic development patterns, offering immediate applications for water quality management. More broadly, this framework offers critical insights that can guide sustainable management strategies for linking evolving regional development patterns with long-term ecological restoration.

过去人类活动积累的遗留磷对全球水质构成持续和复杂的威胁。尽管采取了广泛的努力来控制磷的投入，但遗留的磷可以持续数十年，并破坏恢复目标。新出现的证据表明，区域发展模式的转变深刻地重塑了遗留磷积累和动员的动态和环境风险。然而，发展模式转变重塑遗留磷轨迹的机制仍然知之甚少。在这里，我们通过一个综合建模框架，结合发展转移系数、人为磷库存和河流时滞模型，展示了连接发展驱动的土地利用变化、生物地球化学缓冲能力和遗留磷动员的复杂途径，以诊断和预测长期遗留磷风险。以松花江为例，我们的研究结果表明，从工业到农业主导的转变显著增加了86倍的遗产磷积累。因此，遗留磷占65.4% - 69.9%，超过当年投入，成为河流污染的主要驱动因素。此外，我们证明，发展转变系统地改变了主要控制因素，从化石燃料排放和排水基础设施到土壤保持特征和农业实践，重塑了缓解优先事项。我们的框架为动态发展模式下的遗留磷风险量化提供了一种通用的方法，为水质管理提供了直接的应用。更广泛地说，这一框架提供了重要的见解，可以指导可持续管理战略，将不断变化的区域发展模式与长期生态恢复联系起来。

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引用次数: 0

Beyond linear Thinking: Redefining chemical pollution impacts on biodiversity 超越线性思维：重新定义化学污染对生物多样性的影响

IF 14 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-07-01 Epub Date: 2025-06-15 DOI: 10.1016/j.ese.2025.100589

Yingying Liu , Xiaowei Jin , Aibin Zhan , Jinbao Liao , Andrew C. Johnson , Jian Xu

引用次数: 0

Global mismatch between ecosystem service supply and demand driven by climate change and human activity 气候变化和人类活动导致的全球生态系统服务供需不匹配

IF 14 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science and Ecotechnology

Pub Date : 2025-07-01 Epub Date: 2025-05-06 DOI: 10.1016/j.ese.2025.100573

Shiqi Tian , Wei Wu , Shaofeng Chen , Zhe Li , Kai Li

Assessing the balance between ecosystem service supply and demand (ESSD) relationship and identifying its driving factors is essential for addressing ecosystem degradation. While previous local-scale studies have highlighted climate change and human activities as critical influences, their roles at a global scale remain poorly understood. Here, we analyze the global dynamics of supply–demand relationships for four key ecosystem services—food production, carbon sequestration, soil conservation, and water yield—over the period 2000–2020. We find that ESSD relationships generally exhibit spatially high supply-low demand and quantitatively surplus characteristics. Climate change and human activity influence ESSD relationships in dual-directional pathways. Specifically, they positively affect food production and soil conservation in 80.69 % and 72.50 % of global regions respectively; while negatively influencing carbon sequestration and water yield in 76.74 % and 62.44 % of global regions respectively. Human activity primarily shapes the ESSD relationships for food production and carbon sequestration, with mean contribution rates of 66.54 % and 60.80 % respectively; whereas climate change exerts greater control over soil conservation and water yield, with mean contribution rates of 54.62 % and 55.41 % respectively. Our findings clarify the direction (positive or negative), mode (individual or combined), contribution rates, and geographic distribution of these impacts. This research closes a critical gap in understanding global ESSD relationships and provides essential insights to inform sustainable ecosystem management from local to global scales.

评估生态系统服务供需平衡关系并确定其驱动因素是解决生态系统退化问题的关键。虽然以前的局地尺度研究强调了气候变化和人类活动的关键影响，但它们在全球尺度上的作用仍然知之甚少。本文分析了2000-2020年期间四种关键生态系统服务（粮食生产、碳固存、土壤保持和水产量）的全球供需关系动态。研究发现，ESSD关系普遍表现出空间上的高供给-低需求和数量上的过剩特征。气候变化和人类活动对ESSD关系的影响是双向的。其中，对全球80.69%和72.50%的地区的粮食生产和土壤保持具有积极影响；而对全球76.74%和62.44%的区域固碳和产水分别产生负面影响。人类活动主要影响粮食生产和碳固存的ESSD关系，平均贡献率分别为66.54%和60.80%；而气候变化对土壤保持和水分产量的影响更大，平均贡献率分别为54.62%和55.41%。我们的发现阐明了这些影响的方向（积极或消极）、模式（单独或联合）、贡献率和地理分布。这项研究填补了理解全球生态系统可持续发展关系的关键空白，并为从地方到全球范围的可持续生态系统管理提供了重要见解。

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引用次数: 0