Advances in remote sensing monitoring of phytoplankton phenology
Phytoplankton are widely distributed in marine and freshwater ecosystems.Their growth and development show consider-able spatial and temporal variation,and their response to climate change is complex.Algal phenology describes the cyclical changes in phytoplankton under long-term adaptation to factors such as climate,water quality and human disturbance,establishing a growth rhythm tuned to environmental conditions.It primarily includes characteristics such as the timing of algal appearance,peak growth and decline or disappearance.Remote sensing technology continuously provides high spatio-temporal resolution data on chlorophyll-a concentrations(an indicator of phytoplankton biomass),allowing long-term monitoring of algal phenology.This paper provided a detailed review of recent advances in remote sensing methods for monitoring and extracting algal phenology,identified current issues and limitations,and looked ahead to future trends.First,it reviewed how existing satellite remote sensing provided comprehensive spatio-temporally continuous information on algal growth.Secondly,it summarized the monitoring of phytoplankton phenological sta-ges and methods for estimating specific algal phenological phases.It also presented common data processing methods used to esti-mate algal phenology from remote-sensed time series and discussed changing trends in phytoplankton phenological characteristics.Finally,it examined the factors and mechanisms that may influence changes in algal phenology.Based on this analysis,future re-search on remote sensing of algal phenology should focus on:(1)developing and validating general algorithms suitable for different aquatic environments,integrating machine learning and other intelligent algorithms to improve phenological models and increase the accuracy of phenological monitoring and operational application,(2)combining numerical models with ecosystem dynamics models to investigate the driving mechanisms behind phytoplankton phenology.
Algaephenologychlorophyll-aoceans and inland waters
万方数据
维普
