Quantifying key indicators of essential biodiversity variables for mangrove species in response to hydro-meteorological factors

作者：Hang Yao, Bolin Fu, Weiwei Sun, Yuyu Zhou, Yeqiao Wang, Weiguo Jiang, Hongchang He, Zhili Chen, Yiji Song · 发表于：International Journal of Applied Earth Observation and Geoinformation · 年份：2025 · DOI：10.1016/j.jag.2025.104535 · 被引用次数：17 · 研究领域：Coastal wetland ecosystem dynamics、Land Use and Ecosystem Services、Conservation, Biodiversity, and Resource Management

• Quantified area distributions, species phenology, and physiological traits as essential biodiversity variables. • Revealed seasonal variations in physiological traits of four dominant mangrove species. • Aegiceras corniculatum exhibits a bimodal phenological trajectory and other mangrove species display unimodal curves. • Evaluating impact of fifteen hydro-meteorological factors on seasonal variation of physiological traits. • Interaction of hydrometeorological factors has a stronger effect on phenological changes. Mangroves are critical for climate mitigation and biodiversity conservation, yet their spatiotemporal dynamics and physiological responses to hydrometeorological drivers remain poorly understood. This study extracted three essential biodiversity variables (area distribution, phenology, and physiological traits) and further revealed their dependencies on hydrometeorological conditions. We developed a continuous time-series monitoring method (CTSM) to enhance the Detect-Monitor-Predict detection framework for accurately tracking mangrove spatial succession in the Beibu Gulf from 2000 to 2021. We combined Continuous Change Detection and Classification with Harmonic Analysis of Time Series (HANTS) methods to capture the seasonal changes of physiological traits of dominant mangrove species. This study utilized HANTS-PLSR (partial least squares regression) response models and structural equation models to explore the seasonal responses of physiological trait to hydro-m...