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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    Keywords: Soils -- Carbon content -- Measurement. ; Greenhouse effect, Atmospheric. ; Carbon cycle (Biogeochemistry). ; Electronic books.
    Description / Table of Contents: Based on in-depth contributions from leading scientists, this book provides an integrated view of the current and emerging methods and concepts applied in soil carbon research. It contains a standardised protocol for measuring soil CO2 efflux, designed to improve future assessments of regional and global patterns of soil carbon dynamics.
    Type of Medium: Online Resource
    Pages: 1 online resource (298 pages)
    Edition: 1st ed.
    ISBN: 9780511714399
    DDC: 577/.144
    Language: English
    Note: Cover -- Half-title -- Title -- Copyright -- Contents -- Contributors -- Preface -- 1 Soil carbon relations: an overview -- 1.1 INTRODUCTION -- 1.2 SOIL CARBON RELATIONS: A BASIC CONCEPT -- 1.3 RESEARCH LINES -- 1.3.1 Soil chemistry -- 1.3.2 Physical mechanisms -- 1.3.3 The physiological research line -- 1.3.4 The ecological research line -- 1.4 CURRENT CHALLENGES -- 1.4.1 Experimental design of flux measurements and stock taking: limitations at the plot scale -- 1.4.2 Litter and soil organic matter: a meaningful separation and characterization of carbon pools -- 1.4.3 Measuring autotrophic versus heterotrophic fluxes: available methods and their meaning -- 1.4.4 Soil microbes, soil fauna and trophic interactions: describing communities, their functions and activity -- 1.4.5 Temperature sensitivity and acclimation: application and shortfalls of different concepts -- 1.4.6 Modelling soil carbon dynamics: current and future model validation and structures -- 1.4.7 The role of soils in a changing climate: towards a better understanding of the role of soils in the greenhouse gas budget -- 1.5 SUMMARY -- REFERENCES -- 2 Field measurements of soil respiration: principles and constraints, potentials and limitations of different methods -- 2.1 INTRODUCTION -- 2.2 MEASUREMENT PRINCIPLES AND HISTORY OF TECHNICAL DEVELOPMENTS -- 2.3 DISTURBANCES INTRODUCED BY THE MEASUREMENT SYSTEM -- 2.3.1 Vertical pressure gradient -- 2.3.2 Vertical CO2 concentration gradient -- 2.3.3 Horizontal wind -- 2.3.4 Other effects -- 2.4 COMPARISON OF THE EXISTING SYSTEMS AND RECOMMENDATIONS -- 2.5 EXPERIMENTAL DESIGN -- REFERENCES -- 3 Experimental design: scaling up in time and space, and its statistical considerations -- 3.1 INTRODUCTION -- 3.2 SPATIAL AND TEMPORAL VARIABILITY -- 3.2.1 Sources of variability -- 3.2.2 Coping with variability -- 3.2.2.1 Spatial variability. , 3.2.2.2 Temporal variability -- 3.2.2.3 Implications for soil CO2 efflux sampling strategies -- 3.2.3 Laboratory measurements -- 3.2.4 Scaling up -- 3.2.5 Site variation: random, stratified or systematic design, and avoiding bias -- 3.2.6 Using geographical information systems (mapping and querying) -- 3.3 FORMULATING AND TESTING HYPOTHESES -- 3.3.1 Make the observation -- 3.3.2 Formulate the hypothesis -- 3.3.3 Draw the graph -- 3.3.4 Design and perform the experiment -- 3.3.5 Evaluate the data with the appropriate statistical design -- 3.4 CONCLUSION -- REFERENCES -- 4 Determination of soil carbon stocks and changes -- 4.1 INTRODUCTION -- 4.1.1 Soil carbon pools and the global carbon cycle -- 4.1.2 Definition of soil organic carbon (SOC) and soil organic matter (SOM) -- 4.1.3 The soil carbon balance -- 4.1.4 Effects of fire in altering the reservoirs of soil carbon -- 4.1.5 Factors determining soil organic carbon turnover -- 4.1.6 Soil organic carbon stocks and climate change -- 4.2 METHODS FOR THE DETERMINATION OF SOIL ORGANIC CARBON CHANGES -- 4.2.1 The flux approach -- 4.2.2 The repeated inventory approach -- 4.2.3 Examining changes in specific fractions of carbon -- 4.2.4 Soil sampling, preparation and analysis -- 4.2.4.1 Soil sampling -- 4.2.4.2 Sample treatment and preparation -- 4.2.4.3 Soil carbon analyses -- 4.2.4.4 Bulk density and stone content -- 4.2.4.5 Root content -- 4.3 CONSIDERATIONS FOR SOIL CARBON MONITORING SCHEMES -- 4.4 UP-SCALING AND THE ROLE OF MODELS FOR DETECTING SOIL ORGANIC CARBON CHANGES -- 4.5 SOIL CARBON STOCK CHANGES: SOME PRACTICAL EXAMPLES -- 4.6 CONCLUSIONS -- REFERENCES -- 5 Litter decomposition: concepts, methods and future perspectives -- 5.1 LITTER DECOMPOSITION CONCEPT -- 5.2 KNOWLEDGE OF LITTER DECOMPOSITION AND ITS CONTROLLING FACTORS -- 5.3 MEASURING LITTER DECAY. , 5.4 LITTER BAG STUDIES TO QUANTIFY STANDING LITTER TURNOVER TIMES: HOW DO WE DEAL WITH THE ASYMPTOTIC VALUE? -- 5.5 MODELLING LITTER DECAY -- 5.6 EMERGING ISSUES -- 5.6.1 Interaction and feedback between root activity and litter decay -- 5.6.2 Incorporation of above-ground litter-derived carbon to SOM -- 5.6.3 Functional role of soil microbes: does the fungal-to-bacteria ratio affect carbon flow from litter to recalcitrant SOM? -- 5.7 CUTTING-EDGE METHODOLOGIES -- ACKNOWLEDGEMENTS -- REFERENCES -- 6 Characterization of soil organic matter -- 6.1 INTRODUCTION -- 6.2 OVERVIEW OF TECHNIQUES TO FRACTIONATE AND CHARACTERIZE SOIL ORGANIC MATTER -- 6.2.1 Soil organic matter fractionation -- 6.2.1.1 Biological fractionation -- 6.2.1.2 Physical fractionation -- 6.2.1.3 Chemical fractionation -- 6.2.1.4 Black carbon fractionation and quantification -- 6.2.2 Soil organic matter characterization -- 6.2.2.1 Compound-specific characterization -- 6.2.2.2 Whole-soil SOM characterization -- 6.3 SHORTCOMINGS -- 6.3.1 The remaining gap between SOM fractionation and characterization -- 6.3.2 The current fractionation methodologies frequently isolate non-uniform SOM pools with different turnover times -- 6.3.3 Biochemical characteristics of SOM have seldom been directly linked to microbial functioning and resulting SOM dynamics -- 6.3.4 The relationship between the dynamics of specific SOM fractions and the dynamics of whole SOM has not often been considered -- 6.3.5 Isolated single compounds or compound classes often represent such a small proportion of the total SOM content that the quantification or modelling of their dynamics may have little relation to the dynamics of SOM as a whole -- 6.4 DIRECTIONS FOR FUTURE RESEARCH AND PROMISING NEW TECHNIQUES -- 6.4.1 Quantification of the turnover of different SOM fractions by isotope analysis. , 6.4.2 Relating SOM quality and dynamics to microbial functioning -- 6.4.3 Exploration of new avenues to characterize whole-soil and fraction SOM quality -- 6.5 CONCLUSIONS -- REFERENCES -- 7 Respiration from roots and the mycorrhizosphere -- 7.1 INTRODUCTION -- 7.2 ROOT AND MYCORRHIZOSPHERE RESPIRATION -- 7.2.1 Eco-physiology of root respiration -- 7.2.2 Regulation of root respiration by plant and environmental factors -- 7.2.2.1 Temperature -- 7.2.2.2 Moisture -- 7.2.2.3 Nutrients -- 7.2.2.4 Insolation and carbohydrate supply -- 7.2.2.5 Soil and atmospheric CO2 concentrations -- 7.2.2.6 Root morphology and plant age -- 7.2.3 Rhizomicrobial and mycorrhizal respiration -- 7.2.3.1 Rhizomicrobial respiration -- 7.2.3.2 Mycorrhizal respiration -- 7.3 MEASURING ROOT AND MYCORRHIZOSPHERE RESPIRATION -- 7.3.1 General considerations -- 7.3.1.1 Field vs. laboratory measurements: which method to use -- 7.3.1.2 Expressing respiration rates -- 7.3.1.3 Measuring root respiration temperature response -- 7.3.2 Field methods -- 7.3.2.1 Excision methods -- 7.3.2.2 Intact-root chamber methods -- 7.3.2.3 Measurement techniques for respiration of large coarse roots -- 7.3.2.4 Mesh exclusion method -- 7.3.2.5 Field measurements to take in conjunction with root respiration -- 7.3.3 Laboratory methods -- 7.3.3.1 O2 consumption and CO2 release methods -- 7.3.3.2 Measuring root respiration temperature response in the laboratory -- 7.3.4 Calculating the Q10 -- 7.3.4.1 Fitting curves to measured data -- 7.3.4.2 Predicting respiration in the absence of a measured temperature response -- 7.3.5 Methodology for quantifying the degree of acclimation -- 7.3.5.1 Set temperature method -- 7.3.5.2 Homeostasis-based methods -- 7.3.5.3 Quantifying acclimation: which method to use? -- 7.4 MYCORRHIZOSPHERE RESPIRATION AT THE ECOSYSTEM SCALE -- 7.5 CONCLUDING REMARKS -- REFERENCES. , 8 Separating autotrophic and heterotrophic components of soil respiration: lessons learned from trenching and related root-exclusion experiments -- 8.1 INTRODUCTION -- 8.2 ROOT EXCLUSION: THE TRENCHING APPROACH -- 8.2.1 Calculations and assumptions -- 8.2.2 Limitations and shortcomings -- 8.3 ROOT EXCLUSION: OTHER RELATED APPROACHES -- 8.3.1 Artificial gaps -- 8.3.2 Girdling experiments -- 8.3.3 Clipping experiments -- 8.4 LESSONS LEARNED FROM ROOT EXCLUSION EXPERIMENTS -- 8.4.1 Seasonal variation in partitioning -- 8.4.2 Site to site variations in partitioning -- 8.4.3 Age effects on partitioning -- 8.4.4 Global aspects of partitioning -- 8.5 CONCLUDING REMARKS -- ACKNOWLEDGEMENTS -- REFERENCES -- 9 Measuring soil microbial parameters relevant for soil carbon fluxes -- 9.1 INTRODUCTION -- 9.2 METHODS FOR ECO-PHYSIOLOGICAL CHARACTERIZATION OF SOIL MICROBIOTA -- 9.2.1 Biomass -- 9.2.2 Ratios of different microbial biomass estimates -- 9.2.3 Basal respiration and metabolic quotients -- 9.2.4 Community oriented approaches -- 9.2.5 Extracellular enzyme activities -- 9.2.6 Specific substrate use -- 9.2.7 Tracers -- 9.2.8 Stable isotope probing -- 9.3 MICROBIAL ACCLIMATION AND STRESS RESPONSE -- 9.3.1 Microbial acclimation to climate and stress by climatic factors -- 9.3.2 Microbial acclimation to chemical soil properties -- 9.3.3 Plant-microbe interactions -- 9.4 INTEGRATION AND THE USE OF MICROBIOLOGICAL INFORMATION IN MODELLING SOIL CARBON DYNAMICS -- 9.4.1 The need for different scales and scale transition -- 9.4.2 Modelling -- 9.5 CONCLUSIONS -- REFERENCES -- 10 Trophic interactions and their implications for soil carbon fluxes -- 10.1 INTRODUCTION -- 10.2 ABOVE- AND BELOW-GROUND HERBIVORY -- 10.2.1 Short-term responses to herbivores -- 10.2.1.1 Animal waste products and soil carbon dynamics. , 10.2.1.2 Herbivore-induced changes in litter chemistry and soil carbon dynamics.
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Science Ltd
    Global change biology 11 (2005), S. 0 
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: Carbon fluxes were investigated in a mature deciduous forest, located in Northern Germany (53°47′N–10°36′E), by means of eddy-covariance technique, stand survey and models. This forest has been managed following a concept of nature-oriented forestry since the 1980s. One of the goals of the study was to test whether changed management led to increased carbon sequestration. The forest contains several broadleaved tree species. Depending on wind direction, the fetch-area of the eddy-covariance data was dominated by different tree species. Three subplots dominated by Oak, Beech or Alder/Ash could be distinguished from the tower data. In each of these subplots, 30 × 30 m2 areas were defined to analyse leaf area index, litterfall and the increase of the wood biomass.Eddy-covariance analysis showed that the gross primary productivity (GPP′) was higher in the Oak subplot (−1794 g C m−2 yr−1) in comparison with the Beech plot and the Alder/Ash plot (−1470 and −1595 g C m−2 yr−1, respectively). The total ecosystem respiration (TER) was the highest in the Alder/Ash-dominated subplot (1401 g  C m−2 yr−1) followed by the Oak plot and the Beech plot (1235 and 1174 g C m−2 yr−1, respectively). The resulting net ecosystem productivity (NEP) was −559 g C m−2 yr−1 for the Oak-dominated subplot, −295 g C m−2 yr−1 for the Beech plot and −193 g C m−2 yr−1 for the Alder/Ash plot.From Stand survey and modelling, the net primary productivity was estimated as 1103, 702 and 671 g C m−2 yr−1 in the Oak, Beech and Alder/Ash plot, respectively. Also carbon flux with litterfall was the highest in the Oak plot 343 g C m−2 yr−1 and lowest in Alder/Ash plot (197 g m−2 yr−1) with the Beech plot in between (228 g m−2 yr−1). The observations indicate an increase of the proportion of litterfall with increasing GPP′ and a different ability of carbon sequestration of the three stands in medium temporary scale. Only in the Oak stand that comprised the oldest trees and the most structured canopy the carbon sequestration was increased compared with conventionally managed forests.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1573-515X
    Keywords: agricultural soils ; arginine ammonification ; basal respiration ; CO2 emission ; microbial biomass content ; N2O emission
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Geosciences
    Notes: Abstract Soil microbial biomass content, organic carbonmineralization as well as arginine ammonificationrates were estimated in samples from arable andgrassland soils and carbon dioxide and nitrous oxideemission rates were measured in situ at four sitesalong a catena. Soil microbial biomass contentincreased in the order, maize monoculture 〈 croprotation 〈 dry grassland 〈 wet grassland. The twoarable soils had similar rates of carbonmineralization in the laboratory at 22 °C (basalrespiration) as well as in situ (carbon dioxideemission) at field temperature. Under crop rotation,maize monoculture and dry grassland, the arginineammonification rate significantly correlated to themicrobial biomass content. In contrast, thebiomass-specific ammonification rate was low in wetgrassland soil, as were in situ N2O emission rates.Data from all sites together revealed no generalrelationship between microbial biomass content and Cand N mineralization rates. In addition, there was nogeneral relationship between the quantity of soilmicrobial biomass and the emission rates of thegreenhouse gases CO2 and N2O. The maize monocultureinduced a soil microbial community that was lessefficient in using organic carbon compounds, as shownby the high metabolic quotient (respiration rate perunit of biomass). However, microbial biomass contentwas proportional to basal respiration rate in soilsunder crop rotation, dry and wet grassland. Arginineammonification rate was related to microbial biomasscontent only in fertilized soils. Applications of highquantities of inorganic nitrogen and farmyard manureapparently increase in situ N2O emission rates,particularly under crop rotation. The microbialbiomass in the unfertilized wet grassland soil seemsto be a sink for nitrogen.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1573-515X
    Keywords: agricultural soils ; climatic change ; modelling ; Q10-value ; soil organic matter ; soil respiration
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Geosciences
    Notes: Abstract Based on field measurements in two agriculturalecosystems, soil respiration and long-term response ofsoil organic carbon content (SOC) was modelled. Themodel predicts the influence of temperature increaseas well as the effects of land-use over a period ofthirty years in a northern German glacial morainelandscape. One of the fields carried a maizemonoculture treated with cattle slurry in addition tomineral fertilizer (“maize monoculture”), the otherwas managed by crop rotation and recieved organicmanure (“crop rotation”). The soils of both fieldswere classified as cambic Arenosols. The soilrespiration was measured in the fields by means of theopen dynamic inverted-box method and an infrared gasanalyser. The mean annual soil respiration rates were 268 (maizemonoculture) and 287 mg CO2 m-2 h-1(crop rotation). Factors controlling soil respirationwere soil temperature, soil moisture, root respirationand carbon input into the soil. Q10-valuesof soil respiration were generally higher in winterthan in summer. This trend is interpreted as anadaptive response of the soil microbial communities.In the model a novel mathematical approach withvariable Q10-values as a result oftemperature and moisture adjustment is proposed. Withthe calibrated model soil respiration and SOC werecalculated for both fields and simulations over aperiod of thirty years were established. Simulationswere based on (1) local climatic data, 1961 until1990, and (2) a regional climate scenario for northernGermany with an average temperature increase of 2.1 K.Over the thirty years period with present climateconditions, the SOC pool under “crop rotation” wasnearly stable due to the higher carbon inputs, whereasabout 16 t C ha-1 were lost under “maizemonoculture”. Under global warming the mean annualsoil respiration for both fields increased and SOCdecreased by ca. 10 t C ha-1 under “croprotation” and by more than 20 t C ha-1 under“maize monoculture”. It was shown that overestimationof carbon losses in long-term prognoses can be avoidedby including a Q10-adjustment in soilrespiration models.
    Type of Medium: Electronic Resource
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  • 5
    Publication Date: 2022-01-19
    Description: Global population projections foresee the biggest increase to occur in Africa with most of the available uncultivated land to ensure food security remaining on the continent. Simultaneously, greenhouse gas emissions are expected to rise due to ongoing land use change, industrialisation, and transport amongst other reasons with Africa becoming a major emitter of greenhouse gases globally. However, distinct knowledge on greenhouse gas emissions sources and sinks as well as their variability remains largely unknown caused by its vast size and diversity and an according lack of observations across the continent. Thus, an environmental research infrastructure—as being setup in other regions—is more needed than ever. Here, we present the results of a design study that developed a blueprint for establishing such an environmental research infrastructure in Africa. The blueprint comprises an inventory of already existing observations, the spatial disaggregation of locations that will enable to reduce the uncertainty in climate forcing’s in Africa and globally as well as an overall estimated cost for such an endeavour of about 550 M€ over the next 30 years. We further highlight the importance of the development of an e-infrastructure, the necessity for capacity development and the inclusion of all stakeholders to ensure African ownership.
    Type: Article , PeerReviewed
    Format: text
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  • 6
    Publication Date: 2024-02-07
    Description: Global population projections foresee the biggest increase to occur in Africa with most of the available uncultivated land to ensure food security remaining on the continent. Simultaneously, greenhouse gas emissions are expected to rise due to ongoing land use change, industrialisation, and transport amongst other reasons with Africa becoming a major emitter of greenhouse gases globally. However, distinct knowledge on greenhouse gas emissions sources and sinks as well as their variability remains largely unknown caused by its vast size and diversity and an according lack of observations across the continent. Thus, an environmental research infrastructure-as being setup in other regions-is more needed than ever. Here, we present the results of a design study that developed a blueprint for establishing such an environmental research infrastructure in Africa. The blueprint comprises an inventory of already existing observations, the spatial disaggregation of locations that will enable to reduce the uncertainty in climate forcing's in Africa and globally as well as an overall estimated cost for such an endeavour of about 550 Meuro over the next 30 years. We further highlight the importance of the development of an e-infrastructure, the necessity for capacity development and the inclusion of all stakeholders to ensure African ownership.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 7
    Publication Date: 2024-02-07
    Description: Since 1750, land use change and fossil fuel combustion has led to a 46 % increase in the atmospheric carbon dioxide (CO2) concentrations, causing global warming with substantial societal consequences. The Paris Agreement aims to limiting global temperature increases to well below 2°C above pre-industrial levels. Increasing levels of CO2 and other greenhouse gases (GHGs), such as methane (CH4) and nitrous oxide (N2O), in the atmosphere are the primary cause of climate change. Approximately half of the carbon emissions to the atmosphere is sequestered by ocean and land sinks, leading to ocean acidification but also slowing the rate of global warming. However, there are significant uncertainties in the future global warming scenarios due to uncertainties in the size, nature and stability of these sinks. Quantifying and monitoring the size and timing of natural sinks and the impact of climate change on ecosystems are important information to guide policy-makers’ decisions and strategies on reductions in emissions. Continuous, long-term observations are required to quantify GHG emissions, sinks, and their impacts on Earth systems. The Integrated Carbon Observation System (ICOS) was designed as the European in situ observation and information system to support science and society in their efforts to mitigate climate change. It provides standardized and open data currently from over 140 measurement stations across 12 European countries. The stations observe GHG concentrations in the atmosphere and carbon and GHG fluxes between the atmosphere, land surface and the oceans. This article describes how ICOS fulfills its mission to harmonize these observations, ensure the related long-term financial commitments, provide easy access to well-documented and reproducible high-quality data and related protocols and tools for scientific studies, and deliver information and GHG-related products to stakeholders in society and policy.
    Type: Article , PeerReviewed
    Format: text
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  • 8
  • 9
    Publication Date: 2021-05-12
    Description: Research Infrastructures (RIs) are large-scale facilities encompassing instruments, resources, data and services used by the scientific community to conduct high-level research in their respective fields. The development and integration of marine environmental RIs as European Research Vessel Operators [ERVO] (2020) is the response of the European Commission (EC) to global marine challenges through research, technological development and innovation. These infrastructures (EMSO ERIC, Euro-Argo ERIC, ICOS-ERIC Marine, LifeWatch ERIC, and EMBRC-ERIC) include specialized vessels, fixed-point monitoring systems, Lagrangian floats, test facilities, genomics observatories, bio-sensing, and Virtual Research Environments (VREs), among others. Marine ecosystems are vital for life on Earth. Global climate change is progressing rapidly, and geo-hazards, such as earthquakes, volcanic eruptions, and tsunamis, cause large losses of human life and have massive worldwide socio-economic impacts. Enhancing our marine environmental monitoring and prediction capabilities will increase our ability to respond adequately to major challenges and efficiently. Collaboration among European marine RIs aligns with and has contributed to the OceanObs’19 Conference statement and the objectives of the UN Decade of Ocean Science for Sustainable Development (2021–2030). This collaboration actively participates and supports concrete actions to increase the quality and quantity of more integrated and sustained observations in the ocean worldwide. From an innovation perspective, the next decade will increasingly count on marine RIs to support the development of new technologies and their validation in the field, increasing market uptake and produce a shift in observing capabilities and strategies.
    Description: Published
    Description: 180
    Description: 3A. Geofisica marina e osservazioni multiparametriche a fondo mare
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 10
    Publication Date: 2021-06-29
    Description: The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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