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Iwaniec DM, Gooseff M, Suding KN, Samuel Johnson D, Reed DC, Peters DPC, Adams B, Barrett JE, Bestelmeyer BT, Castorani MCN, Cook EM, Davidson MJ, Groffman PM, Hanan NP, Huenneke LF, Johnson PTJ, McKnight DM, Miller RJ, Okin GS, Preston DL, Rassweiler A, Ray C, Sala OE, Schooley RL, Seastedt T, Spasojevic MJ, Vivoni ER. Connectivity: insights from the U.S. Long Term Ecological Research Network. Ecosphere 2021. [DOI: 10.1002/ecs2.3432] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Affiliation(s)
- David M. Iwaniec
- Urban Studies Institute Andrew Young School of Policy Studies Georgia State University Atlanta Georgia30303USA
| | - Michael Gooseff
- Institute of Arctic and Alpine Research University of Colorado Boulder Colorado80309USA
| | - Katharine N. Suding
- Institute of Arctic and Alpine Research University of Colorado Boulder Colorado80309USA
| | - David Samuel Johnson
- Virginia Institute of Marine Science William & Mary Gloucester Point Virginia23062USA
| | - Daniel C. Reed
- Marine Science Institute University of California Santa Barbara California93106USA
| | - Debra P. C. Peters
- US Department of Agriculture Agricultural Research Service Jornada Experimental Range Unit Las Cruces New Mexico88003‐0003USA
- Jornada Basin Long Term Ecological Research Program New Mexico State University Las Cruces New Mexico88003USA
| | - Byron Adams
- Department of Biology and Monte L. Bean Museum Brigham Young University Provo Utah84602USA
| | - John E. Barrett
- Department of Biological Sciences Virginia Tech University Blacksburg Virginia24061USA
| | - Brandon T. Bestelmeyer
- US Department of Agriculture Agricultural Research Service Jornada Experimental Range Unit Las Cruces New Mexico88003‐0003USA
- Jornada Basin Long Term Ecological Research Program New Mexico State University Las Cruces New Mexico88003USA
| | - Max C. N. Castorani
- Department of Environmental Sciences University of Virginia Charlottesville Virginia22904USA
| | - Elizabeth M. Cook
- Environmental Sciences Department Barnard College New York New York10027USA
| | - Melissa J. Davidson
- School Sustainability and Julie Ann Wrigley Global Institute of Sustainability Arizona State University Tempe Arizona85287USA
| | - Peter M. Groffman
- City University of New York Advanced Science Research Center at the Graduate Center New York New York10031USA
- Cary Institute of Ecosystem Studies Millbrook New York12545USA
| | - Niall P. Hanan
- Jornada Basin Long Term Ecological Research Program New Mexico State University Las Cruces New Mexico88003USA
- Department of Plant and Environmental Sciences New Mexico State University Las Cruces New Mexico88003USA
| | - Laura F. Huenneke
- Jornada Basin Long Term Ecological Research Program New Mexico State University Las Cruces New Mexico88003USA
- School of Earth and Sustainability Northern Arizona University Flagstaff Arizona86011USA
| | - Pieter T. J. Johnson
- Department of Ecology and Evolutionary Biology University of Colorado Boulder Colorado80309USA
| | - Diane M. McKnight
- Civil, Environmental and Architectural Engineering University of Colorado Boulder Colorado80309USA
| | - Robert J. Miller
- Marine Science Institute University of California Santa Barbara California93106USA
| | - Gregory S. Okin
- Jornada Basin Long Term Ecological Research Program New Mexico State University Las Cruces New Mexico88003USA
- Department of Geography University of California Los Angeles California90095USA
| | - Daniel L. Preston
- Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado80523USA
| | - Andrew Rassweiler
- Department of Biological Science Florida State University Tallahassee Florida32304USA
| | - Chris Ray
- Institute of Arctic and Alpine Research University of Colorado Boulder Colorado80309USA
| | - Osvaldo E. Sala
- Jornada Basin Long Term Ecological Research Program New Mexico State University Las Cruces New Mexico88003USA
- Global Drylands Center School of Life Sciences and School of Sustainability Arizona State University Tempe Arizona85287USA
| | - Robert L. Schooley
- Jornada Basin Long Term Ecological Research Program New Mexico State University Las Cruces New Mexico88003USA
- Department of Natural Resources and Environmental Sciences University of Illinois Urbana Illinois61801USA
| | - Timothy Seastedt
- Institute of Arctic and Alpine Research University of Colorado Boulder Colorado80309USA
| | - Marko J. Spasojevic
- Department of Evolution, Ecology, and Organismal Biology University of California Riverside Riverside California92521USA
| | - Enrique R. Vivoni
- Jornada Basin Long Term Ecological Research Program New Mexico State University Las Cruces New Mexico88003USA
- School of Earth and Space Exploration and School of Sustainable Engineering and the Built Environment Arizona State University Tempe Arizona85287USA
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Li T, Cao J, Xu M, Wu Q, Yao L. The influence of urban spatial pattern on land surface temperature for different functional zones. LANDSCAPE AND ECOLOGICAL ENGINEERING 2020. [DOI: 10.1007/s11355-020-00417-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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3
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Fang X, Chen Z, Guo X, Zhu S, Liu T, Li C, He B. Impacts and uncertainties of climate/CO2 change on net primary productivity in Xinjiang, China (2000–2014): A modelling approach. Ecol Modell 2019. [DOI: 10.1016/j.ecolmodel.2019.108742] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Xu Q, Zheng X, Zheng M. Do urban planning policies meet sustainable urbanization goals? A scenario-based study in Beijing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 670:498-507. [PMID: 30904661 DOI: 10.1016/j.scitotenv.2019.03.128] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 02/18/2019] [Accepted: 03/09/2019] [Indexed: 06/09/2023]
Abstract
The global urbanization process has been a concern in recent years, and it is a serious challenge to sustainable development and effective urban governance. Rapid changes in urban land use have caused serious damage to the global ecological environment and ecosystem services (ESs). To help city planners and decision-makers in the process of city planning, it is vital to assess the impacts of urban land use changes on ESs. In this study, urban development under trend continuation and policy planning scenarios were assessed to determine whether the policy planning scenario meets the needs of sustainable urbanization. The two scenarios of future urban expansion in Beijing in 2035 were simulated by the FUTURES (FUTure Urban-Regional Environment Simulation) model, and the spatio-temporal changes of ESs in the two scenarios were explored through the InVEST (Integrated Valuation of Environmental Services and Tradeoffs) model. The results show that the major losses of ESs came from the conversion of cropland land to urban land, which accounts for 79.70% and 69.62% of the total carbon storage loss, 67.88% and 43.94% of the total water yield loss, and 79.94% and 77.72% of the total habitat quality loss, under the Status Quo (SQ) and urban planning development (UPD) scenarios, respectively. Our results emphasize that the policies proposed by the UPD scenario appear to greatly reduce the negative impacts of urban land use change on ESs. However, the government cannot neglect the protection of forest and needs to intensify the implementation of policies implementation in the shallow mountainous areas of the western margins and northeastern and northern regions of Beijing. By understanding the trade-off between future urban structure and ESs, city planners and decision-makers can adjust and optimize suggestions for urban planning policies to achieve sustainable development.
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Affiliation(s)
- Qiurong Xu
- School of Information Engineering, China University of Geosciences, No. 29 Xueyuan Road, Haidian District, Beijing 100083, China
| | - Xinqi Zheng
- School of Information Engineering, China University of Geosciences, No. 29 Xueyuan Road, Haidian District, Beijing 100083, China; Polytechnic Center for Land Spatial Big-data, MNR of China, Beijing 100036, China.
| | - Minrui Zheng
- Center for Applied Geographic Information Science, the University of North Carolina at Charlotte, Charlotte, NC 28223, USA; Department of Geography and Earth Sciences, the University of North Carolina at Charlotte, Charlotte, NC 28223, USA
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Gao P, Li Y, Sun J, Li H. Coupling fuzzy multiple attribute decision-making with analytic hierarchy process to evaluate urban ecological security: A case study of Guangzhou, China. ECOLOGICAL COMPLEXITY 2018. [DOI: 10.1016/j.ecocom.2018.03.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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6
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Projecting the CO2 and Climatic Change Effects on the Net Primary Productivity of the Urban Ecosystems in Phoenix, AZ in the 21st Century under Multiple RCP (Representative Concentration Pathway) Scenarios. SUSTAINABILITY 2017. [DOI: 10.3390/su9081366] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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McHale MR, Hall SJ, Majumdar A, Grimm NB. Carbon lost and carbon gained: a study of vegetation and carbon trade-offs among diverse land uses in Phoenix, Arizona. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2017; 27:644-661. [PMID: 27865047 DOI: 10.1002/eap.1472] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 10/25/2016] [Indexed: 06/06/2023]
Abstract
Human modification and management of urban landscapes drastically alters vegetation and soils, thereby altering carbon (C) storage and rates of net primary productivity (NPP). Complex social and ecological processes drive vegetation cover in cities, leading to heterogeneity in C dynamics depending on regional climate, land use, and land cover. Recent work has demonstrated homogenization in ecological processes within human-dominated landscapes (the urban convergence hypothesis) in soils and biotic communities. However, a lack of information on vegetation in arid land cities has hindered an understanding of potential C storage and NPP convergence across a diversity of ecosystem types. We estimated C storage and NPP of trees and shrubs for six different land-use types in the arid metropolis of Phoenix, Arizona, USA, and compared those results to native desert ecosystems, as well as other urban and natural systems around the world. Results from Phoenix do not support the convergence hypothesis. In particular, C storage in urban trees and shrubs was 42% of that found in desert vegetation, while NPP was only 20% of the total NPP estimated for comparable natural ecosystems. Furthermore, the overall estimates of C storage and NPP associated with urban trees in the CAP ecosystem were much lower (8-63%) than the other cities included in this analysis. We also found that C storage (175.25-388.94 g/m2 ) and NPP (8.07-15.99 g·m-2 ·yr-1 ) were dominated by trees in the urban residential land uses, while in the desert, shrubs were the primary source for pools (183.65 g/m2 ) and fluxes (6.51 g·m-2 ·yr-1 ). These results indicate a trade-off between shrubs and trees in arid ecosystems, with shrubs playing a major role in overall C storage and NPP in deserts and trees serving as the dominant C pool in cities. Our research supports current literature that calls for the development of spatially explicit and standardized methods for analyzing C dynamics associated with vegetation in urbanizing areas.
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Affiliation(s)
- Melissa R McHale
- Department of Ecosystem Science and Sustainability, Colorado State University, 1476 Campus Delivery, Fort Collins, CO, 80523-1476, USA
- Department of Animal, Plant, and Environmental Sciences, University of the Witwatersrand, 1 Jan Smuts Avenue, Johannesburg, South Africa
| | - Sharon J Hall
- School of Life Sciences, Arizona State University, Box 874501, Tempe, Arizona, 85287, USA
| | - Anandamayee Majumdar
- Center of Advanced Statistics and Econometrics, Soochow University, No. 1 Shizi Street, Suzhou, Jiangsu, China
| | - Nancy B Grimm
- School of Life Sciences, Arizona State University, Box 874501, Tempe, Arizona, 85287, USA
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8
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Norton BA, Evans KL, Warren PH. Urban Biodiversity and Landscape Ecology: Patterns, Processes and Planning. ACTA ACUST UNITED AC 2016. [DOI: 10.1007/s40823-016-0018-5] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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9
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Pincebourde S, Murdock CC, Vickers M, Sears MW. Fine-Scale Microclimatic Variation Can Shape the Responses of Organisms to Global Change in Both Natural and Urban Environments. Integr Comp Biol 2016; 56:45-61. [PMID: 27107292 DOI: 10.1093/icb/icw016] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
When predicting the response of organisms to global change, models use measures of climate at a coarse resolution from general circulation models or from downscaled regional models. Organisms, however, do not experience climate at such large scales. The climate heterogeneity over a landscape and how much of that landscape an organism can sample will determine ultimately the microclimates experienced by organisms. This past few decades has seen an important increase in the number of studies reporting microclimatic patterns at small scales. This synthesis intends to unify studies reporting microclimatic heterogeneity (mostly temperature) at various spatial scales, to infer any emerging trends, and to discuss the causes and consequences of such heterogeneity for organismal performance and with respect to changing land use patterns and climate. First, we identify the environmental drivers of heterogeneity across the various spatial scales that are pertinent to ectotherms. The thermal heterogeneity at the local and micro-scales is mostly generated by the architecture or the geometrical features of the microhabitat. Then, the thermal heterogeneity experienced by individuals is modulated by behavior. Second, we survey the literature to quantify thermal heterogeneity from the micro-scale up to the scale of a landscape in natural habitats. Despite difficulties in compiling studies that differ much in their design and aims, we found that there is as much thermal heterogeneity across micro-, local and landscape scales, and that the temperature range is large in general (>9 °C on average, and up to 26 °C). Third, we examine the extent to which urban habitats can be used to infer the microclimatic patterns of the future. Urban areas generate globally drier and warmer microclimatic patterns and recent evidence suggest that thermal traits of ectotherms are adapted to them. Fourth, we explore the interplay between microclimate heterogeneity and the behavioral thermoregulatory abilities of ectotherms in setting their overall performance. We used a random walk framework to show that the thermal heterogeneity allows a more precise behavioral thermoregulation and a narrower temperature distribution of the ectotherm compared to less heterogeneous microhabitats. Finally, we discuss the potential impacts of global change on the fine scale mosaics of microclimates. The amplitude of change may differ between spatial scales. In heterogeneous microhabitats, the amplitude of change at micro-scale, caused by atmospheric warming, can be substantial while it can be limited at the local and landscape scales. We suggest that the warming signal will influence species performance and biotic interactions by modulating the mosaic of microclimates.
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Affiliation(s)
- Sylvain Pincebourde
- *Institut de Recherche sur la Biologie de l'Insecte (IRBI, CNRS UMR 7261), Université François Rabelais, Faculté des Sciences et Techniques, Tours, 37200, France
| | - Courtney C Murdock
- Department of Infectious Diseases, College of Veterinary Medicine, Odum School of Ecology, University of Georgia, Athens, GA 30602, USA
| | - Mathew Vickers
- Station d'Ecologie Théorique Expérimentale, UMR 5321, CNRS et Université Paul Sabatier, 2 route du CNRS, Moulis, 09200, France
| | - Michael W Sears
- Department of Biological Sciences, Clemson University, Clemson, South Carolina, 29634
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McPhearson T, Pickett STA, Grimm NB, Niemelä J, Alberti M, Elmqvist T, Weber C, Haase D, Breuste J, Qureshi S. Advancing Urban Ecology toward a Science of Cities. Bioscience 2016. [DOI: 10.1093/biosci/biw002] [Citation(s) in RCA: 386] [Impact Index Per Article: 48.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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He C, Zhao Y, Huang Q, Zhang Q, Zhang D. Alternative future analysis for assessing the potential impact of climate change on urban landscape dynamics. THE SCIENCE OF THE TOTAL ENVIRONMENT 2015; 532:48-60. [PMID: 26057724 DOI: 10.1016/j.scitotenv.2015.05.103] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Revised: 05/13/2015] [Accepted: 05/23/2015] [Indexed: 06/04/2023]
Abstract
Assessing the impact of climate change on urban landscape dynamics (ULD) is the foundation for adapting to climate change and maintaining urban landscape sustainability. This paper demonstrates an alternative future analysis by coupling a system dynamics (SD) and a cellular automata (CA) model. The potential impact of different climate change scenarios on ULD from 2009 to 2030 was simulated and evaluated in the Beijing-Tianjin-Tangshan megalopolis cluster area (BTT-MCA). The results suggested that the integrated model, which combines the advantages of the SD and CA model, has the strengths of spatial quantification and flexibility. Meanwhile, the results showed that the influence of climate change would become more severe over time. In 2030, the potential urban area affected by climate change will be 343.60-1260.66 km(2) (5.55 -20.37 % of the total urban area, projected by the no-climate-change-effect scenario). Therefore, the effects of climate change should not be neglected when designing and managing urban landscape.
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Affiliation(s)
- Chunyang He
- Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China
| | - Yuanyuan Zhao
- Key Laboratory of Soil and Water Conservation and Desertification Combating, Ministry of Education, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
| | - Qingxu Huang
- Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China.
| | - Qiaofeng Zhang
- Department of Geosciences, Murray State University, Murray, KY 42071, USA
| | - Da Zhang
- Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China; College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China
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12
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Liu Y, Yu D, Su Y, Hao R. Quantifying the effect of trend, fluctuation, and extreme event of climate change on ecosystem productivity. ENVIRONMENTAL MONITORING AND ASSESSMENT 2014; 186:8473-8486. [PMID: 25208518 DOI: 10.1007/s10661-014-4031-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2013] [Accepted: 08/15/2014] [Indexed: 06/03/2023]
Abstract
Climate change comprises three fractions of trend, fluctuation, and extreme event. Assessing the effect of climate change on terrestrial ecosystem requires an understanding of the action mechanism of these fractions, respectively. This study examined 11 years of remotely sensed-derived net primary productivity (NPP) to identify the impacts of the trend and fluctuation of climate change as well as extremely low temperatures caused by a freezing disaster on ecosystem productivity in Hunan province, China. The partial least squares regression model was used to evaluate the contributions of temperature, precipitation, and photosynthetically active radiation (PAR) to NPP variation. A climatic signal decomposition and contribution assessment model was proposed to decompose climate factors into trend and fluctuation components. Then, we quantitatively evaluated the contributions of each component of climatic factors to NPP variation. The results indicated that the total contribution of the temperature, precipitation, and PAR to NPP variation from 2001 to 2011 in Hunan province is 85 %, and individual contributions of the temperature, precipitation, and PAR to NPP variation are 44 % (including 34 % trend contribution and 10 % fluctuation contribution), 5 % (including 4 % trend contribution and 1 % fluctuation contribution), and 36 % (including 30 % trend contribution and 6 % fluctuation contribution), respectively. The contributions of temperature fluctuation-driven NPP were higher in the north and lower in the south, and the contributions of precipitation trend-driven NPP and PAR fluctuation-driven NPP are higher in the west and lower in the east. As an instance of occasionally triggered disturbance in 2008, extremely low temperatures and a freezing disaster produced an abrupt decrease of NPP in forest and grass ecosystems. These results prove that the climatic trend change brought about great impacts on ecosystem productivity and that climatic fluctuations and extreme events can also alter the ecosystem succession process, even resulting in an alternative trajectory. All of these findings could improve our understanding of the impacts of climate change on the provision of ecosystem functions and services and can also provide a basis for policy makers to apply adaptive measures to overcome the unfavorable influence of climate change.
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Affiliation(s)
- Yupeng Liu
- Center for Human-Environment System Sustainability, Beijing Normal University, Beijing, 100875, People's Republic of China,
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Babut M, Arts GH, Barra Caracciolo A, Carluer N, Domange N, Friberg N, Gouy V, Grung M, Lagadic L, Martin-Laurent F, Mazzella N, Pesce S, Real B, Reichenberger S, Roex EWM, Romijn K, Röttele M, Stenrød M, Tournebize J, Vernier F, Vindimian E. Pesticide risk assessment and management in a globally changing world--report from a European interdisciplinary workshop. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2013; 20:8298-312. [PMID: 23975709 PMCID: PMC3824372 DOI: 10.1007/s11356-013-2004-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Accepted: 07/10/2013] [Indexed: 05/10/2023]
Affiliation(s)
- Marc Babut
- Irstea, UR MALY, 5 rue de la Doua, CS70077, 69626, Villeurbanne, France,
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