Results 31 to 40 of about 14,065 (269)

Nonlinear imprints of forest coverage on the relationships between gross primary production (GPP) and landscape patterns

open access: yesEcological Indicators, 2023
Land use and land cover change (LUCC) has yielded significant impacts on ecosystem structure and functions. Gross primary production (GPP), the largest flux in the terrestrial carbon cycle, has been drastically changed by various LUCC activities.
Haiqiang Gao   +8 more
openaire   +2 more sources

An evapotranspiration deficit-based drought index to detect variability of terrestrial carbon productivity in the Middle East

open access: yesEnvironmental Research Letters, 2022
The primary driver of the land carbon sink is gross primary productivity (GPP), the gross absorption of carbon dioxide (CO _2 ) by plant photosynthesis, which currently accounts for about one-quarter of anthropogenic CO _2 emissions per year.
Karam Alsafadi   +6 more
doaj   +1 more source

Relationship between tropical leaf phenology and ecosystem productivity using phenocameras

open access: yesFrontiers in Environmental Science, 2023
Introduction: The interplay of water and light, regarded as the main driver of tropical plant dynamics, determines leaf phenology and ecosystem productivity.
Bruna Alberton   +8 more
doaj   +1 more source

Diverse Roles of Previous Years’ Water Conditions in Gross Primary Productivity in China

open access: yesRemote Sensing, 2020
Gross primary productivity is one of the most important indicators of ecosystem function, which is related to water conditions and shown high interannual variation.
Jiajia Liu   +6 more
doaj   +1 more source

An Algorithm for Gross Primary Production (GPP) and Net Ecosystem Production (NEP) Estimations in the Midstream of the Heihe River Basin, China [PDF]

open access: yesRemote Sensing, 2015
An accurate estimation of carbon fluxes is very important in carbon cycle studies. A remote sensing based gross primary production (GPP) and net ecosystem production (NEP) algorithm, RS-CFLUX, was presented in this work. The algorithm was calibrated with Markov Chain Monte Carlo (MCMC) method at Daman superstation and Zhangye wetland station in the ...
Xufeng Wang   +4 more
openaire   +2 more sources

Satellite-Based Models Need Improvements to Simulating Annual Gross Primary Productivity: A Comparison of Six Models for Regional Modeling of Deciduous Broadleaf Forests

open access: yesRemote Sensing, 2018
Modeling vegetation gross primary productivity (GPP) is crucial to understanding the land–atmosphere interactions and, hence, the global carbon cycle.
Le Li   +3 more
doaj   +1 more source

A critical review of methods, principles and progress for estimating the gross primary productivity of terrestrial ecosystems

open access: yesFrontiers in Environmental Science, 2023
The gross primary productivity (GPP) of terrestrial ecosystems reflects the total amount of organic carbon assimilated by vegetation through photosynthesis per given unit of time and area, which represents the largest carbon flux in carbon budget and ...
Z. Liao   +4 more
semanticscholar   +1 more source

Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data

open access: yesRemote Sensing, 2018
Accurately estimating vegetation productivity is important in research on terrestrial ecosystems, carbon cycles and climate change. Eight-day gross primary production (GPP) and annual net primary production (NPP) are contained in MODerate Resolution ...
Tao Yu   +6 more
doaj   +1 more source

THE REGIONAL DIFFERENCES OF GPP ESTIMATION BY SOLAR INDUCED FLUORESCENCE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Estimating gross primary productivity (GPP) at large spatial scales is important for studying the global carbon cycle and global climate change. In this study, the relationship between solar-induced chlorophyll fluorescence (SIF) and GPP is analysed in ...
X. Wang, S. Lu
doaj   +1 more source

Emergent productivity regimes of river networks

open access: yesLimnology and Oceanography Letters, 2019
High‐resolution data are improving our ability to resolve temporal patterns and controls on river productivity, but we still know little about the emergent patterns of primary production at river‐network scales.
Lauren E. Koenig   +6 more
doaj   +1 more source

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