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Barnes PW, Robson TM, Zepp RG, Bornman JF, Jansen MAK, Ossola R, Wang QW, Robinson SA, Foereid B, Klekociuk AR, Martinez-Abaigar J, Hou WC, Mackenzie R, Paul ND. Interactive effects of changes in UV radiation and climate on terrestrial ecosystems, biogeochemical cycles, and feedbacks to the climate system. Photochem Photobiol Sci 2023; 22:1049-1091. [PMID: 36723799 PMCID: PMC9889965 DOI: 10.1007/s43630-023-00376-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 01/13/2023] [Indexed: 02/02/2023]
Abstract
Terrestrial organisms and ecosystems are being exposed to new and rapidly changing combinations of solar UV radiation and other environmental factors because of ongoing changes in stratospheric ozone and climate. In this Quadrennial Assessment, we examine the interactive effects of changes in stratospheric ozone, UV radiation and climate on terrestrial ecosystems and biogeochemical cycles in the context of the Montreal Protocol. We specifically assess effects on terrestrial organisms, agriculture and food supply, biodiversity, ecosystem services and feedbacks to the climate system. Emphasis is placed on the role of extreme climate events in altering the exposure to UV radiation of organisms and ecosystems and the potential effects on biodiversity. We also address the responses of plants to increased temporal variability in solar UV radiation, the interactive effects of UV radiation and other climate change factors (e.g. drought, temperature) on crops, and the role of UV radiation in driving the breakdown of organic matter from dead plant material (i.e. litter) and biocides (pesticides and herbicides). Our assessment indicates that UV radiation and climate interact in various ways to affect the structure and function of terrestrial ecosystems, and that by protecting the ozone layer, the Montreal Protocol continues to play a vital role in maintaining healthy, diverse ecosystems on land that sustain life on Earth. Furthermore, the Montreal Protocol and its Kigali Amendment are mitigating some of the negative environmental consequences of climate change by limiting the emissions of greenhouse gases and protecting the carbon sequestration potential of vegetation and the terrestrial carbon pool.
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Affiliation(s)
- P W Barnes
- Biological Sciences and Environment Program, Loyola University New Orleans, New Orleans, USA.
| | - T M Robson
- Organismal & Evolutionary Biology (OEB), Faculty of Biological and Environmental Sciences, Viikki Plant Sciences Centre (ViPS), University of Helsinki, Helsinki, Finland.
- National School of Forestry, University of Cumbria, Ambleside, UK.
| | - R G Zepp
- ORD/CEMM, US Environmental Protection Agency, Athens, GA, USA
| | - J F Bornman
- Food Futures Institute, Murdoch University, Perth, Australia
| | | | - R Ossola
- Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric Research, Boulder, USA
| | - Q-W Wang
- Institute of Applied Ecology, Chinese Academy of Sciences (CAS), Shenyang, China
| | - S A Robinson
- Global Challenges Program & School of Earth, Atmospheric and Life Sciences, Securing Antarctica's Environmental Future, University of Wollongong, Wollongong, Australia
| | - B Foereid
- Environment and Natural Resources, Norwegian Institute of Bioeconomy Research, Ås, Norway
| | - A R Klekociuk
- Antarctic Climate Program, Australian Antarctic Division, Kingston, Australia
| | - J Martinez-Abaigar
- Faculty of Science and Technology, University of La Rioja, Logroño (La Rioja), Spain
| | - W-C Hou
- Department of Environmental Engineering, National Cheng Kung University, Tainan City, Taiwan
| | - R Mackenzie
- Cape Horn International Center (CHIC), Puerto Williams, Chile
- Millennium Institute Biodiversity of Antarctic and Subantarctic Ecosystems (BASE), Santiago, Chile
| | - N D Paul
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
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Dodd RJ, Chadwick DR, Hill PW, Hayes F, Sánchez-Rodríguez AR, Gwynn-Jones D, Smart SM, Jones DL. Resilience of ecosystem service delivery in grasslands in response to single and compound extreme weather events. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 861:160660. [PMID: 36464051 DOI: 10.1016/j.scitotenv.2022.160660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Extreme weather events are increasing in frequency and magnitude with profound effects on ecosystem functioning. Further, there is now a greater likelihood that multiple extreme events are occurring within a single year. Here we investigated the effect of a single drought, flood or compound (flood + drought) extreme event on temperate grassland ecosystem processes in a field experiment. To assess system resistance and resilience, we studied changes in a wide range of above- and below-ground indicators (plant diversity and productivity, greenhouse gas emissions, soil chemical, physical and biological metrics) during the 8 week stress events and then for 2 years post-stress. We hypothesized that agricultural grasslands would have different degrees of resistance and resilience to flood and drought stress. We also investigated two alternative hypotheses that the combined flood + drought treatment would either, (A) promote ecosystem resilience through more rapid recovery of soil moisture conditions or (B) exacerbate the impact of the single flood or drought event. Our results showed that flooding had a much greater effect than drought on ecosystem processes and that the grassland was more resistant and resilient to drought than to flood. The immediate impact of flooding on all indicators was negative, especially for those related to production, and climate and water regulation. Flooding stress caused pronounced and persistent shifts in soil microbial and plant communities with large implications for nutrient cycling and long-term ecosystem function. The compound flood + drought treatment failed to show a more severe impact than the single extreme events. Rather, there was an indication of quicker recovery of soil and microbial parameters suggesting greater resilience in line with hypothesis (A). This study clearly reveals that contrasting extreme weather events differentially affect grassland ecosystem function but that concurrent events of a contrasting nature may promote ecosystem resilience to future stress.
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Affiliation(s)
- Rosalind J Dodd
- UK Centre for Ecology and Hydrology, Lancaster Environment Centre, Library Ave, Bailrigg LA1 4AP, UK; Environment Centre Wales, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK.
| | - David R Chadwick
- Environment Centre Wales, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK
| | - Paul W Hill
- Environment Centre Wales, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK
| | - Felicity Hayes
- UK Centre for Ecology and Hydrology, Environment Centre Wales, Bangor, Gwynedd LL57 2UW, UK
| | - Antonio R Sánchez-Rodríguez
- Environment Centre Wales, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK; Departamento de Agronomía, Universidad de Córdoba, Córdoba 14071, Spain
| | - Dylan Gwynn-Jones
- Department of Life Sciences, Aberystwyth University, Aberystwyth, Ceredigion SY23 3DA, UK
| | - Simon M Smart
- UK Centre for Ecology and Hydrology, Lancaster Environment Centre, Library Ave, Bailrigg LA1 4AP, UK
| | - Davey L Jones
- Environment Centre Wales, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK; SoilsWest, Centre for Sustainable Farming Systems, Food Futures Institute, Murdoch University, Murdoch, WA 6105, Australia
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Economou T, Garry F. Probabilistic simulation of big climate data for robust quantification of changes in compound hazard events. WEATHER AND CLIMATE EXTREMES 2022; 38:100522. [PMID: 36545033 PMCID: PMC9756087 DOI: 10.1016/j.wace.2022.100522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 10/16/2022] [Accepted: 10/20/2022] [Indexed: 06/17/2023]
Abstract
Understanding changes in extreme compound hazard events is important for climate mitigation and policy. By definition, such events are rare so robust quantification of their future changes is challenging. An approach is presented, for probabilistic modelling and simulation of climate model data, which is invariant to the event definition since it models the underlying weather variables. The approach is based on the idea of a 'moving window' in conjunction with Generalised Additive Models (GAMs) and Bayesian inference. As such, it is robust to the data size and completely parallelizable, while it fully quantifies uncertainty allowing also for comprehensive model checking. Lastly, Gaussian anamorphosis is used to capture dependency across weather variables. The approach results in probabilistic simulations to enable extrapolation beyond the original data range and thus robust quantification of future changes of rare events. We illustrate by application to daily temperature, humidity and precipitation from a regional climate model.
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Affiliation(s)
- Theodoros Economou
- Climate and Atmospheric Research Centre, The Cyprus Institute, Nicosia, Cyprus
| | - Freya Garry
- Met Office, UK Climate Resilience, Exeter, United Kingdom
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Liu J, Yu W, Pan R, He Y, Wu Y, Yan S, Yi W, Li X, Song R, Yuan J, Liu L, Wei N, Jin X, Li Y, Liang Y, Sun X, Mei L, Song J, Cheng J, Su H. Association between sequential extreme precipitation-heatwaves events and hospitalizations for schizophrenia: The damage amplification effects of sequential extremes. ENVIRONMENTAL RESEARCH 2022; 214:114143. [PMID: 35998693 DOI: 10.1016/j.envres.2022.114143] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/11/2022] [Accepted: 08/16/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVES In the context of frequent global extreme weather events, there are few studies on the effects of sequential extreme precipitation (EP) and heatwaves (HW) events on schizophrenia. We aimed to quantify the effects of the events on hospitalizations for schizophrenia and compare them with EP and HW alone to explore the amplification effect of successive extremes on health loss. METHODS A time-series Poisson regression model combined with a distributed lag non-linear model was applied to estimate the association between sequential EP and HW events (EP-HW) and schizophrenia hospitalizations. The effects of EP-HW with different intervals and intensities on the admission of schizophrenia were compared. In addition, we calculated the mean attributable fraction (AF) and attributable numbers (AN) per exposure of extreme events to reflect the amplification effect of sequential extreme events on health hazards compared with individual extreme events. RESULTS EP-HW increased the risk of hospitalization for schizophrenia, with significant effects lasting from lag0 (RR and 95% CI: 1.150 (1.041-1.271)) to lag11 (1.046 (1.000-1.094)). Significant associations were found in the subgroups of male, female, married people, and those aged≥ 40 years old. Shorter-interval (0-3days) or higher-intensity EP-HW (both precipitation ≥ P97.5 and mean temperature ≥ P97.5) had a longer lag effect compared to EP-HW with longer intervals or lower intensity. We found that the mean AF and AN caused by each exposure to EP-HW (AF: 0.074% (0.015%-0.123%); AN: 4.284 (0.862-7.118)) were higher than those induced by each exposure to HW occurring alone (AF:0.032% (0.004%-0.058%); AN:1.845 (0.220-3.329)). CONCLUSIONS Sequential extreme precipitation-heatwaves events significantly increase the risk of hospitalizations for schizophrenia, with greater impact and disease burden than independently occurring extremes. The impact of consecutive extremes is supposed to be considered in local sector early warning systems for comprehensive public health decision-making.
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Affiliation(s)
- Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Wenping Yu
- Department of Geriatrics, Shandong Daizhuang Hospital, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yangyang He
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yudong Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Shuangshuang Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Rong Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Jiajun Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Li Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Ning Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Xiaoyu Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yuxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yunfeng Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Xiaoni Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Lu Mei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China.
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Zhang Y, Granger S, Semenov M, Upadhayay H, Collins A. Diffuse water pollution during recent extreme wet-weather in the UK: Environmental damage costs and insight into the future? JOURNAL OF CLEANER PRODUCTION 2022; 338:130633. [PMID: 35241877 PMCID: PMC8872830 DOI: 10.1016/j.jclepro.2022.130633] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 12/15/2021] [Accepted: 01/19/2022] [Indexed: 06/14/2023]
Abstract
Periods of extreme wet-weather elevate agricultural diffuse water pollutant loads and climate projections for the UK suggest wetter winters. Within this context, we monitored nitrate and suspended sediment loss using a field and landscape scale platform in SW England during the recent extreme wet-weather of 2019-2020. We compared the recent extreme wet-weather period to both the climatic baseline (1981-2010) and projected near- (2041-2060) and far- (2071-2090) future climates, using the 95th percentiles of conventional rainfall indices generated for climate scenarios downscaled by the LARS-WG weather generator from the 19 global climate models in the CMIP5 ensemble for the RCP8.5 emission scenario. Finally, we explored relationships between pollutant loss and the rainfall indices. Grassland field-scale monthly average nitrate losses increased from 0.39-1.07 kg ha-1 (2016-2019) to 0.70-1.35 kg ha-1 (2019-2020), whereas losses from grassland ploughed up for cereals, increased from 0.63-0.83 kg ha-1 to 2.34-4.09 kg ha-1. Nitrate losses at landscape scale increased during the 2019-2020 extreme wet-weather period to 2.04-4.54 kg ha-1. Field-scale grassland monthly average sediment losses increased from 92-116 kg ha-1 (2016-2019) to 281-333 kg ha-1 (2019-2020), whereas corresponding losses from grassland converted to cereal production increased from 63-80 kg ha-1 to 2124-2146 kg ha-1. Landscape scale monthly sediment losses increased from 8-37 kg ha-1 in 2018 to between 15 and 173 kg ha-1 during the 2019-2020 wet-weather period. 2019-2020 was most representative of the forecast 95th percentiles of >1 mm rainfall for near- and far-future climates and this rainfall index was related to monitored sediment, but not nitrate, loss. The elevated suspended sediment loads generated by the extreme wet-weather of 2019-2020 therefore potentially provide some insight into the responses to the projected >1 mm rainfall extremes under future climates at the study location.
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Affiliation(s)
- Y. Zhang
- Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, EX20 2SB, UK
| | - S.J. Granger
- Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, EX20 2SB, UK
| | - M.A. Semenov
- Plant Sciences Department, Rothamsted Research, West Common, Harpenden, AL5 2JQ, UK
| | - H.R. Upadhayay
- Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, EX20 2SB, UK
| | - A.L. Collins
- Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, EX20 2SB, UK
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Barnes PW, Robson TM, Neale PJ, Williamson CE, Zepp RG, Madronich S, Wilson SR, Andrady AL, Heikkilä AM, Bernhard GH, Bais AF, Neale RE, Bornman JF, Jansen MAK, Klekociuk AR, Martinez-Abaigar J, Robinson SA, Wang QW, Banaszak AT, Häder DP, Hylander S, Rose KC, Wängberg SÅ, Foereid B, Hou WC, Ossola R, Paul ND, Ukpebor JE, Andersen MPS, Longstreth J, Schikowski T, Solomon KR, Sulzberger B, Bruckman LS, Pandey KK, White CC, Zhu L, Zhu M, Aucamp PJ, Liley JB, McKenzie RL, Berwick M, Byrne SN, Hollestein LM, Lucas RM, Olsen CM, Rhodes LE, Yazar S, Young AR. Environmental effects of stratospheric ozone depletion, UV radiation, and interactions with climate change: UNEP Environmental Effects Assessment Panel, Update 2021. Photochem Photobiol Sci 2022; 21:275-301. [PMID: 35191005 PMCID: PMC8860140 DOI: 10.1007/s43630-022-00176-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 01/14/2022] [Indexed: 12/07/2022]
Abstract
The Environmental Effects Assessment Panel of the Montreal Protocol under the United Nations Environment Programme evaluates effects on the environment and human health that arise from changes in the stratospheric ozone layer and concomitant variations in ultraviolet (UV) radiation at the Earth’s surface. The current update is based on scientific advances that have accumulated since our last assessment (Photochem and Photobiol Sci 20(1):1–67, 2021). We also discuss how climate change affects stratospheric ozone depletion and ultraviolet radiation, and how stratospheric ozone depletion affects climate change. The resulting interlinking effects of stratospheric ozone depletion, UV radiation, and climate change are assessed in terms of air quality, carbon sinks, ecosystems, human health, and natural and synthetic materials. We further highlight potential impacts on the biosphere from extreme climate events that are occurring with increasing frequency as a consequence of climate change. These and other interactive effects are examined with respect to the benefits that the Montreal Protocol and its Amendments are providing to life on Earth by controlling the production of various substances that contribute to both stratospheric ozone depletion and climate change.
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Affiliation(s)
- P W Barnes
- Biological Sciences and Environment Program, Loyola University New Orleans, New Orleans, USA
| | - T M Robson
- Organismal and Evolutionary Biology (OEB), Viikki Plant Science Centre (ViPS), University of Helsinki, Helsinki, Finland
| | - P J Neale
- Smithsonian Environmental Research Center, Edgewater, USA
| | | | - R G Zepp
- ORD/CEMM, US Environmental Protection Agency, Athens, GA, USA
| | - S Madronich
- Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric Research, Boulder, USA
| | - S R Wilson
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
| | - A L Andrady
- Chemical and Biomolecular Engineering, North Carolina State University, Apex, USA
| | - A M Heikkilä
- Finnish Meteorological Institute, Helsinki, Finland
| | | | - A F Bais
- Laboratory of Atmospheric Physics, Department of Physics, Aristotle University, Thessaloniki, Greece
| | - R E Neale
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - J F Bornman
- Food Futures Institute, Murdoch University, Perth, Australia.
| | | | - A R Klekociuk
- Antarctic Climate Program, Australian Antarctic Division, Kingston, Australia
| | - J Martinez-Abaigar
- Faculty of Science and Technology, University of La Rioja, La Rioja, Logroño, Spain
| | - S A Robinson
- Securing Antarctica's Environmental Future, Global Challenges Program and School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
| | - Q-W Wang
- Institute of Applied Ecology, Chinese Academy of Sciences (CAS), Shenyang, China
| | - A T Banaszak
- Unidad Académica De Sistemas Arrecifales, Universidad Nacional Autónoma De México, Puerto Morelos, Mexico
| | - D-P Häder
- Department of Biology, Friedrich-Alexander University, Möhrendorf, Germany
| | - S Hylander
- Centre for Ecology and Evolution in Microbial Model Systems-EEMiS, Linnaeus University, Kalmar, Sweden.
| | - K C Rose
- Biological Sciences, Rensselaer Polytechnic Institute, Troy, USA
| | - S-Å Wängberg
- Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | - B Foereid
- Environment and Natural Resources, Norwegian Institute of Bioeconomy Research, Ås, Norway
| | - W-C Hou
- Environmental Engineering, National Cheng Kung University, Tainan, Taiwan
| | - R Ossola
- Environmental System Science (D-USYS), ETH Zürich, Zürich, Switzerland
| | - N D Paul
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - J E Ukpebor
- Chemistry Department, Faculty of Physical Sciences, University of Benin, Benin City, Nigeria
| | - M P S Andersen
- Department of Chemistry and Biochemistry, California State University, Northridge, USA
- Department of Chemistry, University of Copenhagen, Copenhagen, Denmark
| | - J Longstreth
- The Institute for Global Risk Research, LLC, Bethesda, USA
| | - T Schikowski
- Research Group of Environmental Epidemiology, Leibniz Institute of Environmental Medicine, Düsseldorf, Germany
| | - K R Solomon
- Centre for Toxicology, School of Environmental Sciences, University of Guelph, Guelph, Canada
| | - B Sulzberger
- Academic Guest, Swiss Federal Institute of Aquatic Science and Technology, 8600, Dübendorf, Switzerland
| | - L S Bruckman
- Materials Science and Engineering, Case Western Reserve University, Cleveland, USA
| | - K K Pandey
- Wood Processing Division, Institute of Wood Science and Technology, Bangalore, India
| | - C C White
- Polymer Science and Materials Chemistry (PSMC), Exponent, Bethesda, USA
| | - L Zhu
- College of Materials Science and Engineering, Donghua University, Shanghai, China
| | - M Zhu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, Donghua University, Shanghai, China
| | - P J Aucamp
- Ptersa Environmental Consultants, Pretoria, South Africa
| | - J B Liley
- National Institute of Water and Atmospheric Research, Alexandra, New Zealand
| | - R L McKenzie
- National Institute of Water and Atmospheric Research, Alexandra, New Zealand
| | - M Berwick
- Internal Medicine, University of New Mexico, Albuquerque, USA
| | - S N Byrne
- Applied Medical Science, University of Sydney, Sydney, Australia
| | - L M Hollestein
- Department of Dermatology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - R M Lucas
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - C M Olsen
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - L E Rhodes
- Photobiology Unit, Dermatology Research Centre, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - S Yazar
- Garvan Institute of Medical Research, Sydney, Australia
| | - A R Young
- St John's Institute of Dermatology, King's College London (KCL), London, UK
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Slette IJ, Blair JM, Fay PA, Smith MD, Knapp AK. Effects of Compounded Precipitation Pattern Intensification and Drought Occur Belowground in a Mesic Grassland. Ecosystems 2021. [DOI: 10.1007/s10021-021-00714-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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