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description Publicationkeyboard_double_arrow_right Article 2022Embargo end date: 19 Apr 2022 France, SwitzerlandPublisher:Springer Science and Business Media LLC Funded by:ANR | POMELO, NSERCANR| POMELO ,NSERCAuthors:Kailiang Yu;
Kailiang Yu
Kailiang Yu in OpenAIREPhilippe Ciais;
Philippe Ciais
Philippe Ciais in OpenAIRESonia I. Seneviratne;
Zhihua Liu; +6 AuthorsSonia I. Seneviratne
Sonia I. Seneviratne in OpenAIREKailiang Yu;
Kailiang Yu
Kailiang Yu in OpenAIREPhilippe Ciais;
Philippe Ciais
Philippe Ciais in OpenAIRESonia I. Seneviratne;
Zhihua Liu;Sonia I. Seneviratne
Sonia I. Seneviratne in OpenAIREHan Y. H. Chen;
Jonathan Barichivich;Han Y. H. Chen
Han Y. H. Chen in OpenAIRECraig D. Allen;
Hui Yang;Craig D. Allen
Craig D. Allen in OpenAIREYuanyuan Huang;
Ashley P. Ballantyne;Yuanyuan Huang
Yuanyuan Huang in OpenAIREAbstractConsiderable uncertainty and debate exist in projecting the future capacity of forests to sequester atmospheric CO2. Here we estimate spatially explicit patterns of biomass loss by tree mortality (LOSS) from largely unmanaged forest plots to constrain projected (2015–2099) net primary productivity (NPP), heterotrophic respiration (HR) and net carbon sink in six dynamic global vegetation models (DGVMs) across continents. This approach relies on a strong relationship among LOSS, NPP, and HR at continental or biome scales. The DGVMs overestimated historical LOSS, particularly in tropical regions and eastern North America by as much as 5 Mg ha−1 y−1. The modeled spread of DGVM-projected NPP and HR uncertainties was substantially reduced in tropical regions after incorporating the field-based mortality constraint. The observation-constrained models show a decrease in the tropical forest carbon sink by the end of the century, particularly across South America (from 2 to 1.4 PgC y−1), and an increase in the sink in North America (from 0.8 to 1.1 PgC y−1). These results highlight the feasibility of using forest demographic data to empirically constrain forest carbon sink projections and the potential overestimation of projected tropical forest carbon sinks.
Institut national de... arrow_drop_down Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03693795Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03693795Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-022-29619-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Institut national de... arrow_drop_down Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03693795Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03693795Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-022-29619-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 FrancePublisher:Oxford University Press (OUP) Authors:L. H. He;
L. H. He
L. H. He in OpenAIREJian Wang;
Jian Wang
Jian Wang in OpenAIREPhilippe Ciais;
Philippe Ciais
Philippe Ciais in OpenAIREAshley P. Ballantyne;
+13 AuthorsAshley P. Ballantyne
Ashley P. Ballantyne in OpenAIREL. H. He;
L. H. He
L. H. He in OpenAIREJian Wang;
Jian Wang
Jian Wang in OpenAIREPhilippe Ciais;
Philippe Ciais
Philippe Ciais in OpenAIREAshley P. Ballantyne;
Ashley P. Ballantyne
Ashley P. Ballantyne in OpenAIREKailiang Yu;
Kailiang Yu
Kailiang Yu in OpenAIREWenxing Zhang;
Wenxing Zhang
Wenxing Zhang in OpenAIREJingfeng Xiao;
Jingfeng Xiao
Jingfeng Xiao in OpenAIREFrançois Ritter;
François Ritter
François Ritter in OpenAIREZhi Hua Liu;
Zhi Hua Liu
Zhi Hua Liu in OpenAIREX. F. Wang;
X. F. Wang
X. F. Wang in OpenAIREXiaojun Li;
Xiaojun Li
Xiaojun Li in OpenAIREShouzhang Peng;
Shouzhang Peng
Shouzhang Peng in OpenAIREChao Ma;
Chao Ma
Chao Ma in OpenAIREChenghu Zhou;
Chenghu Zhou
Chenghu Zhou in OpenAIREZhao-Liang Li;
Zhao-Liang Li
Zhao-Liang Li in OpenAIREYaowen Xie;
Yaowen Xie
Yaowen Xie in OpenAIREJian‐Sheng Ye;
Jian‐Sheng Ye
Jian‐Sheng Ye in OpenAIREpmid: 37780232
pmc: PMC10538477
Abstract The northern hemisphere has experienced regional cooling, especially during the global warming hiatus (1998–2012) due to ocean energy redistribution. However, the lack of studies about the natural cooling effects hampers our understanding of vegetation responses to climate change. Using 15,125 ground phenological time series at 3,620 sites since the 1950s and 31-year satellite greenness observations (1982–2012) covering the warming hiatus period, we show a stronger response of leaf onset date (LOD) to natural cooling than to warming, i.e. the delay of LOD caused by 1°C cooling is larger than the advance of LOD with 1°C warming. This might be because cooling leads to larger chilling accumulation and heating requirements for leaf onset, but this non-symmetric LOD response is partially offset by warming-related drying. Moreover, spring greening magnitude, in terms of satellite-based greenness and productivity, is more sensitive to LOD changes in the warming area than in the cooling. These results highlight the importance of considering non-symmetric responses of spring greening to warming and cooling when predicting vegetation-climate feedbacks.
Institut national de... arrow_drop_down Institut national des sciences de l'Univers: HAL-INSUArticle . 2023Full-Text: https://hal.inrae.fr/hal-04247177Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2023Full-Text: https://hal.inrae.fr/hal-04247177Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/pnasnexus/pgad308&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Institut national de... arrow_drop_down Institut national des sciences de l'Univers: HAL-INSUArticle . 2023Full-Text: https://hal.inrae.fr/hal-04247177Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2023Full-Text: https://hal.inrae.fr/hal-04247177Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/pnasnexus/pgad308&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United StatesPublisher:Springer Science and Business Media LLC Authors:Xingyun Liang;
Defu Wang; Qing Ye; Jinmeng Zhang; +13 AuthorsXingyun Liang
Xingyun Liang in OpenAIREXingyun Liang;
Defu Wang; Qing Ye; Jinmeng Zhang; Mengyun Liu;Xingyun Liang
Xingyun Liang in OpenAIREHui Liu;
Kailiang Yu;
Kailiang Yu
Kailiang Yu in OpenAIREYujie Wang;
Yujie Wang
Yujie Wang in OpenAIREEnqing Hou;
Enqing Hou
Enqing Hou in OpenAIREBuqing Zhong;
Long Xu; Tong Lv;Buqing Zhong
Buqing Zhong in OpenAIREShouzhang Peng;
Shouzhang Peng
Shouzhang Peng in OpenAIREHaibo Lu;
Haibo Lu
Haibo Lu in OpenAIREPierre Sicard;
Pierre Sicard
Pierre Sicard in OpenAIREAlessandro Anav;
David S. Ellsworth;Alessandro Anav
Alessandro Anav in OpenAIREAbstractQuantifying the stomatal responses of plants to global change factors is crucial for modeling terrestrial carbon and water cycles. Here we synthesize worldwide experimental data to show that stomatal conductance (gs) decreases with elevated carbon dioxide (CO2), warming, decreased precipitation, and tropospheric ozone pollution, but increases with increased precipitation and nitrogen (N) deposition. These responses vary with treatment magnitude, plant attributes (ambient gs, vegetation biomes, and plant functional types), and climate. All two-factor combinations (except warming + N deposition) significantly reduce gs, and their individual effects are commonly additive but tend to be antagonistic as the effect sizes increased. We further show that rising CO2 and warming would dominate the future change of plant gs across biomes. The results of our meta-analysis provide a foundation for understanding and predicting plant gs across biomes and guiding manipulative experiment designs in a real world where global change factors do not occur in isolation.
Caltech Authors (Cal... arrow_drop_down Caltech Authors (California Institute of Technology)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-37934-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 22 citations 22 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Caltech Authors (Cal... arrow_drop_down Caltech Authors (California Institute of Technology)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-37934-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 DenmarkPublisher:Elsevier BV Authors:Wenxin Zhang;
Wenxin Zhang
Wenxin Zhang in OpenAIREHongxiao Jin;
Hongxiao Jin
Hongxiao Jin in OpenAIRESadegh Jamali;
Sadegh Jamali
Sadegh Jamali in OpenAIREZheng Duan;
+16 AuthorsZheng Duan
Zheng Duan in OpenAIREWenxin Zhang;
Wenxin Zhang
Wenxin Zhang in OpenAIREHongxiao Jin;
Hongxiao Jin
Hongxiao Jin in OpenAIRESadegh Jamali;
Sadegh Jamali
Sadegh Jamali in OpenAIREZheng Duan;
Zheng Duan
Zheng Duan in OpenAIREMousong Wu;
Mousong Wu
Mousong Wu in OpenAIREYouhua Ran;
Youhua Ran
Youhua Ran in OpenAIREJonas Ardö;
Jonas Ardö
Jonas Ardö in OpenAIRELars Eklundh;
Lars Eklundh
Lars Eklundh in OpenAIREAnna Maria Jönsson;
Anna Maria Jönsson
Anna Maria Jönsson in OpenAIREHuaiwei Sun;
Huaiwei Sun
Huaiwei Sun in OpenAIREGuojie Hu;
Guojie Hu
Guojie Hu in OpenAIREXiaodong Wu;
Xiaodong Wu
Xiaodong Wu in OpenAIREHyo‐In Yun;
Hyo‐In Yun
Hyo‐In Yun in OpenAIREQingbai Wu;
Qingbai Wu
Qingbai Wu in OpenAIREZiteng Fu;
Ziteng Fu
Ziteng Fu in OpenAIREKailiang Yu;
Kailiang Yu
Kailiang Yu in OpenAIREFeng Tian;
Feng Tian
Feng Tian in OpenAIRETorbern Tagesson;
Torbern Tagesson
Torbern Tagesson in OpenAIREXing Li;
Jingfeng Xiao;
Jingfeng Xiao
Jingfeng Xiao in OpenAIRELe réchauffement rapide récent a eu des impacts inégaux sur la composition, la structure et le fonctionnement des écosystèmes nordiques. On ne sait toujours pas comment les facteurs climatiques contrôlent les tendances linéaires et non linéaires de la productivité des écosystèmes. Sur la base d'un produit d'indice de phénologie végétale (IPP) à une résolution spatiale de 0,05° sur 2000-2018, nous avons utilisé un schéma d'ajustement polynomial automatisé pour détecter et caractériser les types de tendances (c.-à-d. tendances polynomiales et non tendances) dans l'IPP annuel intégré (PPIINT) pour les écosystèmes nordiques (> 30°N) et leur dépendance aux facteurs climatiques et aux types d'écosystèmes. La pente moyenne pour les tendances linéaires (p < 0,05) de PPIINT était positive dans tous les écosystèmes, parmi lesquels les forêts de feuillus à feuilles larges et les forêts de feuillus à aiguilles (ENF) ont montré les pentes moyennes les plus élevées et les plus basses, respectivement. Plus de 50% des pixels dans les ENF, les arbustes arctiques et boréaux et les zones humides permanentes (PW) avaient des tendances linéaires. Une grande fraction de PW a également montré des tendances quadratiques et cubiques. Ces tendances concordent bien avec les estimations de la productivité globale de la végétation basées sur la fluorescence de la chlorophylle induite par le soleil. Dans tous les biomes, PPIINT dans les pixels avec des tendances linéaires a montré des valeurs moyennes plus faibles et des coefficients de corrélation partielle plus élevés avec la température ou les précipitations que dans les pixels sans tendances linéaires. Dans l'ensemble, notre étude a révélé l'émergence d'une convergence latitudinale et d'une divergence dans les contrôles climatiques sur les tendances linéaires et non linéaires de PPIINT, ce qui implique que les déplacements nordiques de la végétation et le changement climatique peuvent potentiellement augmenter la nature non linéaire des contrôles climatiques sur la productivité des écosystèmes. Ces résultats peuvent améliorer notre compréhension et notre prévision des changements induits par le climat dans la phénologie et la productivité des plantes et faciliter la gestion durable des écosystèmes en tenant compte de leur résilience et de leur vulnérabilité au changement climatique futur. El rápido calentamiento reciente ha causado impactos desiguales en la composición, estructura y funcionamiento de los ecosistemas del norte. Se desconoce cómo los impulsores climáticos controlan las tendencias lineales y no lineales en la productividad de los ecosistemas. Con base en un producto de índice de fenología vegetal (PPI) a una resolución espacial de 0.05° durante 2000-2018, utilizamos un esquema de ajuste polinómico automatizado para detectar y caracterizar los tipos de tendencias (es decir, tendencias polinómicas y no tendencias) en el PPI integrado anual (PPIINT) para los ecosistemas del norte (> 30°N) y su dependencia de los impulsores climáticos y los tipos de ecosistemas. La pendiente promedio para las tendencias lineales (p < 0.05) de PPIINT fue positiva en todos los ecosistemas, entre los cuales los bosques caducifolios de hoja ancha y los bosques perennifolios de hoja de aguja (ENF) mostraron las pendientes medias más altas y más bajas, respectivamente. Más del 50% de los píxeles en ENF, matorrales árticos y boreales y humedales permanentes (PW) tuvieron tendencias lineales. Una gran fracción de PW también mostró tendencias cuadráticas y cúbicas. Estos patrones de tendencia coincidieron bien con las estimaciones de la productividad global de la vegetación basadas en la fluorescencia de la clorofila inducida por el sol. En todos los biomas, PPIINT en píxeles con tendencias lineales mostró valores medios más bajos y coeficientes de correlación parcial más altos con la temperatura o la precipitación que en píxeles sin tendencias lineales. En general, nuestro estudio reveló la aparición de convergencia latitudinal y divergencia en los controles climáticos sobre las tendencias lineales y no lineales de PPIINT, lo que implica que los cambios septentrionales de la vegetación y el cambio climático pueden aumentar potencialmente la naturaleza no lineal de los controles climáticos sobre la productividad de los ecosistemas. Estos resultados pueden mejorar nuestra comprensión y predicción de los cambios inducidos por el clima en la fenología y la productividad de las plantas y facilitar la gestión sostenible de los ecosistemas al tener en cuenta su resiliencia y vulnerabilidad al cambio climático futuro. Recent rapid warming has caused uneven impacts on the composition, structure, and functioning of northern ecosystems. It remains unknown how climatic drivers control linear and non-linear trends in ecosystem productivity. Based on a plant phenology index (PPI) product at a spatial resolution of 0.05° over 2000-2018, we used an automated polynomial fitting scheme to detect and characterize trend types (i.e., polynomial trends and no-trends) in the yearly-integrated PPI (PPIINT) for northern (> 30°N) ecosystems and their dependence on climatic drivers and ecosystem types. The averaged slope for the linear trends (p < 0.05) of PPIINT was positive across all the ecosystems, among which deciduous broadleaved forests and evergreen needle-leaved forests (ENF) showed the highest and lowest mean slopes, respectively. More than 50% of the pixels in ENF, arctic and boreal shrublands, and permanent wetlands (PW) had linear trends. A large fraction of PW also showed quadratic and cubic trends. These trend patterns agreed well with estimates of global vegetation productivity based on solar-induced chlorophyll fluorescence. Across all the biomes, PPIINT in pixels with linear trends showed lower mean values and higher partial correlation coefficients with temperature or precipitation than in pixels without linear trends. Overall, our study revealed the emergence of latitudinal convergence and divergence in climatic controls on the linear and non-linear trends of PPIINT, implying that northern shifts of vegetation and climate change may potentially increase the non-linear nature of climatic controls on ecosystem productivity. These results can improve our understanding and prediction of climate-induced changes in plant phenology and productivity and facilitate sustainable management of ecosystems by accounting for their resilience and vulnerability to future climate change. تسبب الاحترار السريع الأخير في تأثيرات غير متكافئة على تكوين وبنية وأداء النظم الإيكولوجية الشمالية. لا يزال من غير المعروف كيف تتحكم المحركات المناخية في الاتجاهات الخطية وغير الخطية في إنتاجية النظام البيئي. استنادًا إلى منتج مؤشر الفينولوجيا النباتية (PPI) بدقة مكانية تبلغ 0.05درجة خلال الفترة 2000-2018، استخدمنا مخططًا آليًا للتركيب متعدد الحدود لاكتشاف وتمييز أنواع الاتجاهات (أي الاتجاهات متعددة الحدود وعدم وجود اتجاهات) في مؤشر أسعار المنتجين السنوي المتكامل (PPIINT) للنظم الإيكولوجية الشمالية (> 30درجةشمالًا) واعتمادها على الدوافع المناخية وأنواع النظم الإيكولوجية. كان المنحدر المتوسط للاتجاهات الخطية (p < 0.05) لـ PPIINT إيجابيًا في جميع النظم الإيكولوجية، من بينها الغابات المتساقطة ذات الأوراق العريضة والغابات دائمة الخضرة ذات الأوراق الإبرية (ENF) التي أظهرت أعلى وأدنى المنحدرات المتوسطة، على التوالي. كان لأكثر من 50 ٪ من وحدات البكسل في ENF، والشجيرات القطبية والشمالية، والأراضي الرطبة الدائمة (PW) اتجاهات خطية. أظهر جزء كبير من المياه الصالحة للشرب أيضًا اتجاهات تربيعية ومكعبة. اتفقت أنماط الاتجاه هذه بشكل جيد مع تقديرات إنتاجية الغطاء النباتي العالمي بناءً على فلورة الكلوروفيل المستحثة بالطاقة الشمسية. في جميع المناطق الحيوية، أظهر PPIINT بالبكسل مع الاتجاهات الخطية قيمًا متوسطة أقل ومعاملات ارتباط جزئية أعلى مع درجة الحرارة أو هطول الأمطار مقارنة بالبكسل بدون اتجاهات خطية. بشكل عام، كشفت دراستنا عن ظهور تقارب وتباعد خطوط العرض في الضوابط المناخية على الاتجاهات الخطية وغير الخطية لـ PPIINT، مما يعني أن التحولات الشمالية للغطاء النباتي وتغير المناخ قد تزيد من الطبيعة غير الخطية للضوابط المناخية على إنتاجية النظام الإيكولوجي. يمكن أن تحسن هذه النتائج فهمنا وتنبؤنا بالتغيرات الناجمة عن المناخ في علم الظواهر النباتية والإنتاجية وتسهيل الإدارة المستدامة للنظم الإيكولوجية من خلال مراعاة مرونتها وقابليتها للتأثر بتغير المناخ في المستقبل.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Copenhagen: ResearchArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2023.162425&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Copenhagen: ResearchArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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