Search Results - "Besnard, Simon"
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Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach
Published in Biogeosciences (16-03-2020)“…FLUXNET comprises globally distributed eddy-covariance-based estimates of carbon fluxes between the biosphere and the atmosphere. Since eddy covariance flux…”
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2
Implications of the steady-state assumption for the global vegetation carbon turnover
Published in Environmental research letters (01-10-2023)“…Abstract Vegetation carbon turnover time ( τ ) is a central ecosystem property to quantify the global vegetation carbon dynamics. However, our understanding of…”
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Journal Article -
3
Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests
Published in PloS one (06-02-2019)“…Forests play a crucial role in the global carbon (C) cycle by storing and sequestering a substantial amount of C in the terrestrial biosphere. Due to temporal…”
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Journal Article -
4
Quantifying the effect of forest age in annual net forest carbon balance
Published in Environmental research letters (2018)“…Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and…”
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5
Global increase in biomass carbon stock dominated by growth of northern young forests over past decade
Published in Nature geoscience (01-10-2023)“…Changes in terrestrial carbon storage under environmental and land-use changes remain a critical source of uncertainty in regional and global carbon budgets…”
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6
Global sensitivities of forest carbon changes to environmental conditions
Published in Global change biology (01-12-2021)“…The responses of forest carbon dynamics to fluctuations in environmental conditions at a global scale remain elusive. Despite the understanding that favourable…”
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7
Global estimation of above-ground biomass from spaceborne C-band scatterometer observations aided by LiDAR metrics of vegetation structure
Published in Remote sensing of environment (15-09-2022)“…The backscattered power recorded by a spaceborne scatterometer operating at C-band is sensitive to land surface parameters and is operationally used by some…”
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8
Environment-sensitivity functions for gross primary productivity in light use efficiency models
Published in Agricultural and forest meteorology (15-01-2022)“…•An approach considering data representativeness for model selection is provided.•CO2 fertilization cannot be neglected in global GPP modeling.•Light…”
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9
Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites
Published in Global change biology (01-12-2020)“…We apply and compare three widely applicable methods for estimating ecosystem transpiration (T) from eddy covariance (EC) data across 251 FLUXNET sites…”
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10
Mapping Global Forest Age from Forest Inventories, Biomass and Climate Data
Published in Earth system science data (26-10-2021)“…Forest age can determine the capacity of a forest to uptake carbon from the atmosphere. However, a lack of global diagnostics that reflect the forest stage and…”
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11
Controls of Forest Age and Ecological Memory Effects on Biosphere-Atmosphere CO2 Exchange
Published 01-01-2019“…Understanding the dynamics of terrestrial ecosystems in a changing environment is critical because of their fundamental role in the global carbon (C) cycle…”
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Dissertation -
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Technical note: A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data set
Published in Biogeosciences (08-06-2022)“…The eddy-covariance technique measures carbon, water, and energy fluxes between the land surface and the atmosphere at hundreds of sites globally. Collections…”
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Journal Article -
13
Memory effects of climate and vegetation affecting net ecosystem CO.sub.2 fluxes in global forests
Published in PloS one (06-02-2019)“…Forests play a crucial role in the global carbon (C) cycle by storing and sequestering a substantial amount of C in the terrestrial biosphere. Due to temporal…”
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Journal Article -
14
Modelling Landsurface Time-Series with Recurrent Neural Nets
Published in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (01-07-2018)“…Machine learning tools and semi-empirical models have been very successful in describing and predicting instantaneous climatic influences on the spatial and…”
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Conference Proceeding