全球红树林生产力的历史时空趋势及其对环境的响应：基于多个卫星生产力代理的视角

IF 5.7 1区农林科学 Q1 AGRONOMY

Agricultural and Forest Meteorology Pub Date : 2025-10-02 DOI:10.1016/j.agrformet.2025.110871

Qian Liu , Luoma Wan , Fei Xu , Ruikun Gou , Guanghui Lin , Xiaolin Zhu

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引用次数: 0

摘要

红树林是公认的高产生态系统，尽管仅占沿海海洋面积的2%，但在全球碳循环中发挥着至关重要的作用。了解红树林生产力的历史趋势及其对外部环境的响应至关重要。然而，红树林生产力的全球和区域趋势以及生产力指标在红树林生态系统中的适用性尚不清楚。利用4个总初级生产力（GPP）产品、2个太阳诱导荧光（SIF）产品、植被近红外反射率（NIRv）和叶面积指数（LAI）等8个生产力代理数据集，对全球红树林生产力的时空变化趋势进行了综合评价。通过与通量塔3个时间尺度（年、月、8天）的观测结果比较，全球OCO-2 SIF （GOSIF）、全球空间连续SIF （CSIF）和基于GOSIF的GPP （GOGPP）产品对红树林生态系统生产力的反映优于其他生产力指标，具有较强的一致性（R²：0.37 ~ 0.70），而NIRv和LAI表现较差（R²：0.07 ~ 0.50）。尽管数据集存在不确定性，但来自所有8种产品的集体证据显示，自1982年以来，全球红树林生产力总体呈上升趋势，2000年后增长速度放缓，降至早期的50%左右。基于模拟的敏感性和贡献分析表明，大气温度（AirT）、海表温度（SST）和大气CO2是全球红树林生产力显著增加的主要因素，而上升的蒸汽压差（VPD）和海表盐度（SSS）是导致红树林生产力下降的重要因素，尽管只抵消了一小部分增长。该研究为建立红树林生产力模型提供了建设性的见解，并对沿海生态系统保护具有重要意义。

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Historical spatiotemporal trends in global mangrove productivity and its response to the environment: Perspectives from multiple satellite-based productivity proxies

Mangroves, recognized as highly productive ecosystems, play a crucial role in global carbon cycle despite covering only 2 % of coastal ocean area. Understanding the historical trends of mangrove productivity and its responses to the external environment is crucial. However, the global and regional trends in mangrove productivity and the applicability of productivity proxies in mangrove ecosystems remained unclear. Leveraging eight productivity proxy datasets, including four Gross Primary Productivity (GPP) products, two Solar-Induced Fluorescence (SIF) products, the Near-Infrared Reflectance of vegetation (NIRv), and Leaf Area Index (LAI), this study conducted a comprehensive evaluation on spatiotemporal trends of global mangrove productivity. Through comparison with flux tower observations at three temporal scales (yearly, monthly, and 8-day), the Global OCO-2 SIF (GOSIF), global spatially contiguous SIF (CSIF) and GOSIF-based GPP (GOGPP) products outperformed other productivity proxies in indicating mangrove ecosystem productivity, showing stronger consistency (R²: 0.37–0.70), while NIRv and LAI performed worse (R²: 0.07–0.50). Despite uncertainties in the datasets, collective evidence from all eight products revealed an overall increasing trend in global mangrove productivity since 1982, with a decelerated pace post-2000, reducing to roughly 50 % of the earlier rate. Simulation-based sensitivity and contribution analyses indicated that air temperature (AirT), sea surface temperature (SST), and atmospheric CO₂ were primary contributors to the marked increase in global mangrove productivity, while rising vapor pressure deficit (VPD) and sea surface salinity (SSS) were significant factors leading to a decrease, albeit offsetting only a small portion of the increase. This study provided constructive insights for developing mangrove productivity models and hold significant implications for coastal ecosystem conservation.

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来源期刊

Agricultural and Forest Meteorology 农林科学-林学

CiteScore

10.30

自引率

9.70%

发文量

415

审稿时长

69 days

期刊介绍： Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.