A LiDAR-based reconstruction reveals increasing Arctic phytoplankton production during low-light winter-shoulder period
Year: 2026
Type: article
Abstract: Arctic marine productivity is traditionally considered concentrated in the sunlit season, yet low-light winter-shoulder periods remain poorly constrained because passive ocean color observations require sufficient solar illumination. Here, we use 2.39 million spaceborne LiDAR profiles from CALIOP (2006–2023) to reconstruct Arctic net primary production (NPP) and evaluate how active-sensor observations reduce this seasonal blind spot. The bio-optical retrieval model was trained using MODIS-constrained observations under illuminated conditions; accordingly, low-light estimates represent physically constrained extrapolations beyond the primary MODIS-observable training domain rather than direct NPP measurements. Within this framework, LiDAR increases winter half-year observational coverage from ∼20 to 30% to ∼70 to 75% and reveals widespread low-light winter-shoulder production across marginal seas and seasonal ice-edge regions. Pan-Arctic NPP integrated over this period increased at an estimated rate of 0.75 Tg C year −1 during 2007–2023, whereas the corresponding passive-sensor signal was negligible. Accounting for this component raises annual Arctic NPP estimates by ∼13.3% indicating that passive sensor-based assessments may underrepresent the magnitude and seasonal structure of Arctic productivity. Associations with declining sea ice and surface warming suggest this underrepresented production is consistent with ongoing seasonal reorganization of Arctic carbon fixation. Uncertainties from model parameterization, low-light extrapolation, and limited in situ validation are largest in the lowest-light and highest-latitude regimes. These findings do not imply photosynthesis during absolute polar night, but show that active LiDAR observations with explicit light constraints and transparent extrapolation limits can test how unresolved low-light winter-shoulder production may alter Arctic NPP seasonality under continuing sea-ice loss.
Source: Science Advances
Authors: Zhenhua Zhang, Peng Chen, Siqi Zhang, Delu Pan
Language: English
Subfield: Oceanography
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,500
OpenAlex ID: W7225787845