Environmental Evidence最新文献

{"title":"What evidence exists on the effectiveness of algae as biomonitors of pollution in estuaries? A systematic map protocol.","authors":"Daniel Tremmel, Carla Carvalho, Túlio Silva, Jana Del Favero, Bruno Guides Libardoni","doi":"10.1186/s13750-025-00378-1","DOIUrl":"10.1186/s13750-025-00378-1","url":null,"abstract":"<p><strong>Background: </strong>Estuarine coastal regions play a critical role in global aquatic ecosystems, providing essential benefits such as diverse marine habitats, support for local economies through fisheries and tourism, and serving as important carbon stocks. Nonetheless, these invaluable, dynamic and complex habitats are under increasing threat from human-induced pressures, including pollution from agricultural runoff to sewage discharge, emphasizing the urgent need for innovative monitoring and mitigation strategies. Traditional biomonitoring methods involve the use of indicator species such as fish and benthic macroinvertebrates; however, these can be limited in their ability to detect pollution at an early stage. As a result, alternative monitoring strategies such as the use of algae have become increasingly popular due to their abundance sensitivity to changes in water quality. Previous research recognizes the capacity of various algae species to accumulate pollutants, thereby serving as reliable indicators of ecological stress and water contamination. Despite the growing acknowledgment of their potential, a comprehensive evaluation of the effectiveness of algae as biomonitors in estuaries remains without a systematic review. This map, therefore, seeks to synthesize existing knowledge on the applicability and reliability of algae for coastal environmental monitoring, aiming to highlight existing knowledge gaps for a future systematic review. By focusing on the utility of algae in estuarine contexts, this study aspires to provide a comprehensive overview of current practices and propose recommendations. Such an endeavor is crucial for directing future research, informing stakeholders, and guiding policy formulation towards more sustainable and effective environmental management of estuaries. This map aims to be a valuable resource for those involved in the management and preservation of estuarine environments, contributing to discussions on sustainable water management and ecological conservation.</p><p><strong>Methods: </strong>The Collaboration for Environmental Evidence Guidelines and Standards for Evidence Synthesis in Environmental Management will be followed to construct the systematic map. By using a tested search string consisting of English keywords and acronyms, we will look through two published databases (Scopus and Web of Science Core Collection) to find pertinent literature. Terms that describe the exposure (chemicals) and the population (algae in estuaries) will be combined in the search string. To this literature obtained so far, we will add more materials sourced from other search mechanisms. We will add to this body of literature with further material from Google Scholar and other internet searches, including sources in Portuguese. Next, adopting specified eligibility criteria, titles, abstracts, and full-texts will be analyzed one by one. A list of predefined variables will then be extracted from full-texts. A dat","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"23"},"PeriodicalIF":5.2,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12616895/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145514774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What is the nature of evidence regarding relationships between urban agriculture and gentrification? A systematic map protocol.","authors":"Anton Parisi, Beatrice Walthall, Paola Clerino, Paula Firmbach, Monika Onyszkiewicz, José Luis Vicente Vicente","doi":"10.1186/s13750-025-00375-4","DOIUrl":"10.1186/s13750-025-00375-4","url":null,"abstract":"<p><strong>Background: </strong>As people work towards environmental sustainability for urban environments and everyday lives, tensions have been seen in different efforts on food, housing, environmental management, urban planning, and many cross-cutting issues touching on multiple aspects of social-ecological systems. Urban agriculture (UA) as one multifaceted, cross-cutting arena, has had one particular tension regarding relationships with housing and the built environment: its gentrification potential. However, different accounts have provided evidence and theorization of gentrification as a possible outcome of UA activities, as a risk for UA initiatives, and showing still other relationships between UA and gentrification. These different accounts may be partially explained by different theoretical engagements with gentrification, as well as multiple activities constituting a broad notion of urban agriculture. An overview of the scholarly work regarding these two topics can provide a starting point for understanding how they have been approached and theoretically engaged together, and demonstrate gaps in dominant academic discourses.</p><p><strong>Methods: </strong>This research for a systematic mapping of literature seeks to assess the academic work around relationships between urban agriculture and gentrification. The protocol outlines a comprehensive and reliable search and review strategy based on the core components of urban, agriculture, and gentrification in search strings and inclusion criteria. Texts in English, French, and German will be scanned as historically and currently dominant academic languages, while searching nine bibliographic databases or platforms. The protocol details a data coding strategy for metadata, empirical content, and analytic content. The results are expected to uncover sources of evidence for links between urban agriculture and gentrification, producing interoperable datasets of the evidence base, insights of the overall research landscape, and possibilities to find research gaps.</p>","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"22"},"PeriodicalIF":5.2,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12616948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145514792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spanish-language text classification for environmental evidence synthesis using multilingual pre-trained models.","authors":"Violeta Berdejo-Espinola, Ákos Hajas, Richard Cornford, Nan Ye, Tatsuya Amano","doi":"10.1186/s13750-025-00370-9","DOIUrl":"10.1186/s13750-025-00370-9","url":null,"abstract":"<p><p>Artificial intelligence (AI) is increasingly being explored as a tool to optimize and accelerate various stages of evidence synthesis. A persistent challenge in environmental evidence syntheses is that these remain predominantly monolingual (English), leading to biased results and misinforming cross-scale policy decisions. AI offers a promising opportunity to incorporate non-English language evidence in evidence syntheses screening process and help to move beyond the current monolingual focus of evidence syntheses. Using a corpus of Spanish-language peer-reviewed papers on biodiversity conservation interventions, we developed and evaluated text classifiers using supervised machine learning models. Our best-performing model achieved 100% recall meaning no relevant papers (n = 9) were missed and filtered out over 70% (n = 867) of negative documents based only on the title and abstract of each paper. The text was encoded using a pre-trained multilingual model and class-weights were used to deal with a highly imbalanced dataset (0.79%). This research therefore offers an approach to reducing the manual, time-intensive effort required for document screening in evidence syntheses-with minimal risk of missing relevant studies. It highlights the potential of multilingual large language models and class-weights to train a light-weight non-English language classifier that can effectively filter irrelevant texts, using only a small non-English language labelled corpus. Future work could build on our approach to develop a multilingual classifier that enables the inclusion of any non-English scientific literature in evidence syntheses.</p>","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"21"},"PeriodicalIF":5.2,"publicationDate":"2025-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12613578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145507528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI and the Collaboration for Environmental Evidence 2025.","authors":"Ella Flemyng, Anna Noel-Storr, Biljana Macura, Gerald Gartlehner, James Thomas, Joerg J Meerpohl, Zoe Jordan, Jan Minx, Angelika Eisele-Metzger, Candyce Hamel, Paweł Jemioło, Kylie Porritt, Matthew Grainger","doi":"10.1186/s13750-025-00374-5","DOIUrl":"10.1186/s13750-025-00374-5","url":null,"abstract":"","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"20"},"PeriodicalIF":5.2,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12577299/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145423273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advocating for trust in and trustworthy AI to transform evidence synthesis.","authors":"Isabel K Fletcher","doi":"10.1186/s13750-025-00369-2","DOIUrl":"10.1186/s13750-025-00369-2","url":null,"abstract":"<p><p>The global demand for high-quality, robust and up-to-date evidence to guide decision-making has never been higher. The vast quantity of scientific literature being produced and made accessible presents an unparalleled opportunity for evidence-based decision-making to become a widespread reality. In addition, the world has at its fingertips cutting-edge technologies, such as AI, to make sense of this extensive knowledge base and deliver insights more quickly to decision-makers most in need. AI-powered evidence syntheses promises to be transformative, saving many lives and enhancing livelihoods globally. However, achieving this requires substantial cultural shifts in the evidence community, including amongst both AI developers and users to shape both trustworthy AI and trust in AI. Current efforts to establish best practices are emerging, but progress is hindered by the lack of clear consensus on what constitutes trustworthy AI for evidence synthesis. Philanthropic investments in trustworthy AI systems, alongside robust evaluations of trust in AI for evidence synthesis, must be prioritised to determine the conditions required for an enabling environment. Mainstreaming AI for reliable, faster and cheaper evidence synthesis demands a better understanding of trustworthy AI and trust in these systems. Funders should prioritise aspects of trustworthiness and trust whilst balancing the drive towards ongoing innovation.</p>","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"19"},"PeriodicalIF":5.2,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12541976/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145349336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What evidence exists for the impact of restoration of natural processes on biodiversity in temperate ecosystems: a systematic map protocol.","authors":"Kerstin Bouma, Pablo Villalva Aguilar, Siri Vatsø Haugum, Bjarke Madsen, Urs Albert Treier, Signe Normand, Carsten Rahbek, Jacob Heilmann-Clausen","doi":"10.1186/s13750-025-00373-6","DOIUrl":"10.1186/s13750-025-00373-6","url":null,"abstract":"<p><strong>Background: </strong>Over the last decade, a paradigm shift has been initiated in the field of nature management and conservation with shifting the focus from traditional, more static conservation efforts to dynamic conservation efforts. To promote dynamic restoration efforts, it is essential to provide nature managers with tools to measure the impact and effectiveness of relevant interventions. However, despite increasing practice, quantifying restoration management in a relevant and measurable way remains challenging. Therefore, this systematic map aims to elucidate which metrics are being used to measure the impact of dynamic nature management working with natural processes.</p><p><strong>Methods: </strong>To assess which metrics are being used to measure this impact, we will perform a systematic map in Web of Science, Scopus and Agricola. In addition, we will search for grey literature through directed visits to organizational websites, search ProQuest for relevant PhD theses on the topic and perform a search in Google Scholar. For the latter, we will only consider the first 200 articles. We will include articles conducted based on research in natural areas within temperate zones, where natural dynamics (e.g., grazing, hydrology, fire) are present, introduced or restored, and are assessed using before/after or control/impact study designs. The selected studies should mention measurements of the natural process restoration outcome related to relevant biodiversity metrics (e.g., richness, diversity, abundance). Literature from review studies will be included to identify other relevant articles. All studies positively assessed as relevant through the criteria above will be subject to critical appraisal. Hereafter, we will use the critical appraisal tool as issued by Environmental Evidence. The data obtained will be used to create an overview of restoration and conservation current practices in order to identify knowledge gaps. We will disseminate our results to nature managers and provide a time- and cost- assessment of each measurement to create a guide on monitoring of dynamic nature management.</p>","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"18"},"PeriodicalIF":5.2,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12535033/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145313961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Braiding traditional ecological knowledge and Western science in the management of freshwater social-ecological systems: a systematic map protocol.","authors":"Ronald J Maliao, Béla Tóthmérész","doi":"10.1186/s13750-025-00371-8","DOIUrl":"10.1186/s13750-025-00371-8","url":null,"abstract":"<p><strong>Background: </strong>Freshwater ecosystems are globally imperiled, with monitored vertebrate populations showing an average 83% decline since 1970. Braiding Traditional Ecological Knowledge (TEK) with Western science is increasingly recognized by global bodies like the IPBES (Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services) as essential for achieving the transformative change needed to address this crisis. This systematic map provides a comprehensive, global synthesis of the diverse methodologies used for this purpose by answering the primary question: What is the evidence base for methodologies (approaches, frameworks, or models) that braid the TEK of Indigenous and local communities with Western science in the planning, management, monitoring, or assessment of freshwater social-ecological systems? The resulting synthesis is intended to empower researchers, practitioners, and policymakers to design more effective and equitable management strategies.</p><p><strong>Methods: </strong>Following Collaboration for Environmental Evidence (CEE) guidelines, our protocol employs a multi-layered search strategy across three core bibliographic databases, targeted grey literature sources (including dissertations and key organizational websites), and a supplementary review-centric snowballing search. Records will be screened for eligibility in a two-stage process (Title/Abstract and Full-text) with robust consistency checking to ensure transparency and minimize bias. Data from included articles will be coded using a detailed protocol designed to answer our secondary questions and build a typology of knowledge braiding methodologies. The systematic map's outputs will include a narrative synthesis identifying knowledge gaps and clusters, a comprehensive public database of included studies, and a suite of interactive data visualizations.</p>","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"17"},"PeriodicalIF":5.2,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12523213/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145294181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What evidence exists on how biodiversity is affected by the adoption of carbon footprint-reducing agricultural practices? A systematic map.","authors":"Stuart Rowlands, Julia Casperd, Michael R F Lee, Scott Kirby, Nicola Randall","doi":"10.1186/s13750-025-00372-7","DOIUrl":"10.1186/s13750-025-00372-7","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The global agriculture sector is expected to contribute towards carbon net zero by adopting interventions to reduce/offset greenhouse gas emissions and increase carbon sequestration/removal. Many of these interventions require change to land management and agriculturally associated habitats, subsequently impacting biodiversity. This relationship is important as the Convention on Biological Diversity has also pledged to reverse nature decline. To understand this relationship, a systematic map was developed to collate evidence relating to the impacts of carbon footprint reducing interventions on agriculturally associated biodiversity. This systematic map collated studies from temperate farming systems including northern Europe, North America and New Zealand.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A protocol was published to define the methodology. Potentially relevant articles were identified by searching three academic databases using a predefined search string. Also, nine organisational websites were searched using key words. All potentially relevant articles were exported into EPPI-Reviewer-Web. Following deduplication, the remaining articles were screened at title and abstract level, partially with the aide of machine learning, before full text screening and extraction of metadata.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Review findings: &lt;/strong&gt;Screening began with 67,617 articles that ended with an evidence base of 820 primary research studies and 82 reviews. The evidence base includes studies from 1978 to April 2024, of which 81% were studies that lasted less than 5 years. Whilst microorganisms (n = 328), arthropods (n = 190), worms (n = 121) and plants (n = 118) were well represented in the evidence base, other groups such as birds (n = 32), gastropods (n = 16), mammals (n = 13), amphibians (n = 1) and reptiles (n = 1) were represented less well. The most studied interventions were to increase soil organic carbon through reduced tillage (n = 227) and cover cropping (n = 136). However, there were less than five studies in total for the following land management objectives: avoiding soil compaction (n = 2), precision farming (n = 2) and renewable energy production. Study authors reported carbon footprint-reducing practices to positively impact biodiversity in 65% of studies, to have mixed effects in 11%, negative in 8% and no effect in 16% of studies. As no critical appraisal was carried out on the included studies, we recommend further study validation and synthesis in order to support these findings.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The evidence base has highlighted evidence clusters and gaps on how farming practices that can reduce the carbon footprint of a farm impacts agriculturally associated biodiversity. There are many areas for further research including studies investigating the long-term relationship of interventions that alter habitats over a long period such as rewetting peat soils and increasing tree cover. Future research sh","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"16"},"PeriodicalIF":5.2,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12514805/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What evidence exists on the interlinkages between ecological and societal impacts of borealisation of the arctic? A systematic map protocol.","authors":"Kate Baker, Vera Helene Hausner, Jennifer Ramsay, Helen C Wheeler","doi":"10.1186/s13750-025-00367-4","DOIUrl":"10.1186/s13750-025-00367-4","url":null,"abstract":"<p><strong>Background: </strong>As the global climate rapidly warms, one pervasive impact is the \"borealisation\" of the Arctic. Borealisation occurs when the species, communities and ecological processes of the Arctic transform to resemble that of more boreal lower latitudes. Such change is likely to have profound impacts on the diverse communities and cultures of the Arctic. Some of these impacts are starting to be documented, however this evidence has not been synthesised systematically. This systematic map protocol will therefore address the research question: \"What evidence exists on the interlinkages between ecological and societal impacts of borealisation of the Arctic?\" Additionally, this systematic map will support two current assessments of the Arctic Council working groups on the societal and ecological impacts of climate change in the Arctic, thus responding to policy relevant questions posed by Arctic governments.</p><p><strong>Methods: </strong>Following guidelines set out by the Collaboration for Environmental Evidence (CEE), a search of literature, both peer reviewed and grey, will be performed using a range of bibliographic databases, websites and search engines. The search strategy will use a pre-defined search string with Boolean operators. The search results will be screened for relevance according to specific inclusion and exclusion criteria. This will be done in two stages - firstly a screen of titles and abstracts, then a full text screening of eligible articles. At both stages, articles will be excluded if they fail to meet all eligibility criteria or if they meet exclusion criteria. Next, articles that are eligible after full text screening will be coded. At both the screening and coding stages, two reviewers will independently assess a defined number of articles to ensure inter-reviewer reliability and resolve differences. This evidence will then form a searchable database with accompanying visual outputs. A narrative output will outline the range and distribution of evidence, identify potential bias, knowledge clusters and gaps, and will explore areas for further research.</p>","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"15"},"PeriodicalIF":5.2,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12317435/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144765663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What is the evidence for the impacts of airborne anthropogenic noise on wildlife? A systematic map update.","authors":"Léa Terray, Benjamin Petiteau, Guillaume Dutilleux, Sylvie Vanpeene, Pamela Amiard, Romain Sordello, Yorick Reyjol","doi":"10.1186/s13750-025-00368-3","DOIUrl":"10.1186/s13750-025-00368-3","url":null,"abstract":"<p><strong>Background: </strong>Noise from human activities is a major concern for wildlife, with numerous studies demonstrating significant impacts. In 2020, Sordello and collaborators systematically mapped the literature on the impacts of anthropogenic noise on wildlife up to 2018. Since then, research on this topic has continued to grow steadily. To reflect these developments, we present an updated systematic map encompassing studies published through 2023, exclusively focused on airborne noise.</p><p><strong>Methods: </strong>The method follows the a priori protocol published by Sordello and collaborators in 2019. The present work includes literature searches by Sordello et al. (2020) and a complementary search update performed on 2020-2023. Literature from Sordello et al. (2020) was re-screened to align with the updated scope, now restricted to airborne noise. For the update, both peer-reviewed and grey literature were retrieved from Scopus, the Web of Science Core Collection, and Google Scholar. Titles, abstracts, and full texts were screened by eligibility criteria, and included articles were coded. We included all wild terrestrial or semi-aquatic taxonomic groups, and anthropogenic noise from various sources (e.g., transport, urban, recreational) was considered, along with all relevant outcomes (e.g., behaviour, reproduction, physiology).</p><p><strong>Review findings: </strong>Sordello et al. (2020) provided 1,794 articles, of which 466 were retained after re-screening the full texts. The search update yielded 13,698 citations, resulting in 397 relevant articles. A total of 863 articles were included in the map (665 primary research studies, 196 reviews and meta-analyses, 2 modelling papers). Most studies have been conducted in the USA. Birds are the most studied taxonomic group (64%), followed by mammals (22%); transportation is the most studied source of noise (43%), followed by urban noise (24%); behaviour (27%) and vocal communication (25%) are the most studied outcomes.</p><p><strong>Conclusion: </strong>The map represents an updated state of the art on the impact of airborne anthropogenic noise on wildlife and can serve as a starting point for further syntheses of evidence. Three clusters of knowledge were identified as suitable candidates for future syntheses: (1) What is the impact of anthropogenic noise on mammals' behaviour? (2) What is the impact of anthropogenic noise on birds' reproductive success? (3) What is the impact of anthropogenic noise on species richness and diversity? In addition, the knowledge gaps identified may be used to inform future research and address the apparent imbalance in the published research: many taxonomic groups are still understudied (e.g., especially reptiles and arachnids), many potential sources of noise disturbance are neglected (e.g., recreational and military noise) and the impacts of noise are unevenly studied between taxonomic groups.</p>","PeriodicalId":48621,"journal":{"name":"Environmental Evidence","volume":"14 1","pages":"14"},"PeriodicalIF":5.2,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12297495/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144718933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}