Canopy greenness outpaces climatic drivers in controlling interannual variability of photosynthetic capacity in coastal wetlands

Read full text
Authors: Shuting Zhang, Siyu Wei, Guangxuan Han
Cited by: 0

Abstract

This dataset includes eddy covariance and meteorological data collected from a coastal wetland during 2011–2022, together with 19 additional wetland sites retrieved from the FLUXNET2025 database information. The dataset contains continuous measurements of incoming radiation (SWin), air temperature (Ta), vapor pressure deficit (VPD), precipitation (P), the maximum normalized difference vegetation index (NDVImax), gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem exchange (NEE). The eddy covariance raw data have undergone standardized processing procedures, including raw data correction, quality control, interpolation, and flux partitioning to ensure usability for further analysis. The dataset enables investigation of the interannual variations in photosynthetic capacity (GPPsat) and its driving factors. This study showed that GPPsat exhibits pronounced interannual fluctuations during the study period, with NDVImax explained more compared with climatic variables. A global analysis of 19 additional wetland sites further confirmed a significant relationship between NDVImax and GPPsat. This long-term dataset provides a valuable basis for improving our understanding of carbon dynamics in coastal wetlands.

Fields of Study & Subjects

Plant Water Relations and Carbon Dynamics Coastal wetland ecosystem dynamics Remote Sensing in Agriculture

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026
Language
EN
Document type
Dataset