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Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type
2021
International Journal of Applied Earth Observation and Geoinformation
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A B S T R A C T Satellite-based light use efficiency (LUE) models are important tools for estimating regional and global vegetation gross primary productivity (GPP). ...
In this study, we developed an improved satellite data driven GPP model by identifying the potential maximal GPP (GPP POT ) and their dominant climate control factor in various plant functional types ( ...
The FLUXNET eddy covariance data processing and harmonization was carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of ...
doi:10.1016/j.jag.2021.102328
fatcat:whrjsr3qrfh4rfg5twt7m3rk5y
Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type
2021
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Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type. ...
Satellite-based light use efficiency (LUE) models are important tools for estimating regional and global vegetation gross primary productivity (GPP). ...
The FLUXNET eddy covariance data processing and harmonization was carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of ...
doi:10.5167/uzh-202936
fatcat:tfwksavgjzhbvmkgthhn2osy6e
Evolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2
2015
International journal of biometeorology
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This parameter is often underestimated or imprecisely defined for the various plant functional types (PFTs) and ecosystems. ...
affect productivity estimation in DGVMs. ...
In the DGVMs, the gross primary productivity (GPP) is calculated over time for each plant functional type (i) as such: GPP ¼ Z A g;i dt ð3Þ The net primary productivity (NPP) over time for each plant functional ...
doi:10.1007/s00484-015-1087-6
pmid:26498437
fatcat:3v2mdauszjga7dgmtjx3dqauqi
The SMAP level 4 carbon product for monitoring terrestrial ecosystem-atmosphere CO2 exchange
2016
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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The L4_C product provides NEE, computed as total respiration less gross photosynthesis, at a daily time step and approximate 14-day latency posted to a 9-km global grid summarized by plant functional type ...
The NASA Soil Moisture Active Passive (SMAP) mission Level 4 Carbon (L4_C) product provides model estimates of Net Ecosystem CO 2 exchange (NEE) incorporating SMAP soil moisture information as a primary ...
L4_C PRODUCT AND ALGORITHM The L4_C product provides global terrestrial Net Ecosystem CO 2 exchange (NEE) computed as total respiration (vegetation plus soil) less vegetation gross primary production ( ...
doi:10.1109/igarss.2016.7729027
dblp:conf/igarss/JonesKMRGA16
fatcat:3tixhv63dncyhed442p2k22twu
Optimum temperature for photosynthesis: from leaf- to ecosystem-scale
2020
Science Bulletin
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Acknowledgments This work was supported by the National Natural Science Foundation of China (41701089) and the Youth Innovation Promotion Association, Chinese Academy of Sciences, China (2019074). ...
Here, the daytime air temperature is represented by daily maximum air temperature, and the gross primary productivity is represented by dailyaccumulated gross primary productivity. ...
Global terrestrial gross primary productivity varies with environmental conditions, and, according to an analysis of atmospheric carbonyl sulfide records, increased by 31% over the twentieth century [ ...
doi:10.1016/j.scib.2020.01.006
fatcat:qllvdfklxjdkbcdokzsgki34i4
Evaluating atmospheric CO2 effects on gross primary productivity and net ecosystem exchanges of terrestrial ecosystems in the conterminous United States using the AmeriFlux data and an artificial neural network approach
2016
Agricultural and Forest Meteorology
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18 Quantitative understanding of regional gross primary productivity (GPP) and net ecosystem 19 exchanges (NEE) and their responses to environmental changes are critical to quantifying the 20 feedbacks ...
of ecosystems to the global climate system. ...
How useful are plant functional types in global simulations of the carbon, water, and energy cycles? J. 504 Geophys. ...
doi:10.1016/j.agrformet.2016.01.007
fatcat:koenipsoffbrjpgqdwpg3ealzi
Modelling the spatial pattern of net primary productivity in Chinese forests
1999
Ecological Modelling
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The spatial patterns of biomass and net primary productivity in China's forests were estimated using empirical data sets, remote sensing methods, and climate-vegetation models, and were analysed within ...
The results indicate that the present spatial pattern of NPP in Chinese forest types is a result of both natural environmental factors and human land use patterns. ...
Acknowledgements This research was started while the senior author was at the Chinese Academy of Sciences, with support from the Chinese Natural Sciences Foundation. ...
doi:10.1016/s0304-3800(99)00142-8
fatcat:coq7v3l3jve2dl652dcf2uomlu
Reduction of Global Plant Production due to Droughts from 2001 to 2010: An Analysis with a Process-Based Global Terrestrial Ecosystem Model
2015
Earth Interactions
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Here, this study incorporates a drought index into an existing process-based terrestrial ecosystem model to estimate the drought impact on global plant production for the period 2001-10. ...
Droughts dramatically affect plant production of global terrestrial ecosystems. ...
This research was funded by the NSF Project (Grant IIS-1028291; A Paradigm Shift in Ecosystem and Environmental Modeling: An Integrated Stochastic, Deterministic, and Machine Learning Approach). ...
doi:10.1175/ei-d-14-0030.1
fatcat:ubamtst77jcazeyp3qsskvq4dq
Modeling forest plantations for carbon uptake with the LPJmL dynamic global vegetation model
2019
Earth System Dynamics
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Our extended version of LPJmL can contribute to such an assessment by providing improved estimates of C uptake rates by forest plantations. ...
These curves represent the evolution of stemwood C over time in typical productive plantations and were derived by combining field observations and LPJmL estimates for equivalent natural forests. ...
Natural vegetation is represented as a number of plant functional types (PFTs): aggregated vegetation classes representing variation in leaf type (broadleaf, needleleaf), phenology (summergreen, evergreen ...
doi:10.5194/esd-10-617-2019
fatcat:3hvgril6rnbpfn62xcwmpgmimi
Interactions between carbon and nitrogen dynamics in estimating net primary productivity for potential vegetation in North America
1992
Global Biogeochemical Cycles
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An estimate of gross primary production (GPP) is required to calibrate a parameter in the plant respiration equation. ...
Approximately half of the carbon taken up by plants is returned to the atmosphere during plant respiration, and the remainder, known as net primary productivity (NPP), is incorporated into plant matter ...
doi:10.1029/92gb00219
fatcat:jevxesoaqzhy3cu5yh4hmdawaq
Vegetation dynamics – simulating responses to climatic change
2004
Biological Reviews
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(b) Vegetation distribution
The SDGVM treats the global suite of vegetation types as mixtures of six functional types of plants. ...
The global distribution of the different functional types of trees is determined by their sensitivities to temperature, the seasonal water balance (precipitation less evapotranspiration) and net primary ...
doi:10.1017/s1464793103006419
pmid:15366766
fatcat:v66bwc6npbbproau6lbaf3w6ny
Modelling forest plantations for carbon uptake with the LPJmL dynamic global vegetation model
2019
Earth System Dynamics Discussions
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</strong> We present an extension of the dynamic global vegetation model LPJmL to simulate planted forests intended for C sequestration. ...
Our extended version of LPJmL can contribute such an assessment by providing improved estimates of C uptake rates by forest plantations.</p> ...
This was traced to a higher carbon use efficiency (CUE)-the ratio of NPP to gross 4 primary productivity-and a lower vegetation carbon turnover time ( vegC ; vegetation C to NPP ratio) 5 compared to the ...
doi:10.5194/esd-2019-13
fatcat:7yukoxxxfjg4nkupu764isc2my
Accuracy of the AVHRR vegetation index as a predictor of biomass, primary productivity and net CO2 flux
1989
Vegetatio
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Geographic reliability of the NDVIis judged by comparing NDVIvalues for different surface types with a general global trend and by statistical analysis of relationships to biomass amounts, net and gross ...
of regional to global vegetation patterns. ...
Acknowledgements This work and publication costs were supported by grants NAG-5-516 and NAGW-1338 from the National Aeronautics and Space Administration to the first author. ...
doi:10.1007/bf00048034
fatcat:d4utpctpozaw7lzn7vads2opea
Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content
2019
Global Change Biology
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The rate of photosynthesis is determined jointly by environmental variables and the intrinsic photosynthetic capacity of plants (i.e. maximum carboxylation ...
The terrestrial biosphere plays a critical role in mitigating climate change by absorbing anthropogenic CO 2 emissions through photosynthesis. ...
ACKNOWLEDGEMENTS XL, HC, JMC and LH were supported by a Discovery Grant and a Strategic Grant from the Natural Science and Engineering Council of Canada. ...
doi:10.1111/gcb.14624
fatcat:5tchx2c5bnhq5exz75jfmdciqe
Mapping Crop Cycles in China Using MODIS-EVI Time Series
2014
Remote Sensing
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of gross sown area that agree well with inventory data. ...
Mapping Abstract: As the Earth's population continues to grow and demand for food increases, the need for improved and timely information related to the properties and dynamics of global agricultural systems ...
Conflicts of Interest The authors declare no conflict of interest. Remote Sens. 2014, 6 ...
doi:10.3390/rs6032473
fatcat:ulbptw2usraphpc4obaswddsba
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