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作 者:张颖[1] 唐敏[1] 陈新 Zhang Ying;Tang Min;Chen Xin(College of Ecology and Environment,Hainan University,Haikou 570228,China;School of Science,Hainan University,Haikou 570228,China)
机构地区:[1]海南大学生态与环境学院,海南海口570228 [2]海南大学理学院,海南海口570228
出 处:《海南大学学报(自然科学版)》2022年第2期158-167,共10页Natural Science Journal of Hainan University
基 金:海南省高等学校科学研究项目(Hnky2019-2);海南省自然科学基金(2019RC039)。
摘 要:植被净初级生产力是反映地表植被生长状况的重要指标,也是陆地碳循环的重要环节.本文基于多源卫星遥感的高分辨率全球碳同化系统的研究数据,采用Sen斜率估计、MK非参数检验、离散系数等方法,对2000—2019年海南岛各地区于不同时间尺度上植被NPP的时空变化特征进行了分析与研究.结果表明:(1)海南岛植被NPP整体呈现环状分布,森林资源丰富的中部山区为高值区,受影响较多的沿海地区多为低值区;(2)在2000—2019年期间,海南岛与各地区的年均NPP呈不同波动程度的显著上升趋势,年平均为768.45 g·C·m^(-2)·a^(-1);(3)大部分地区植被NPP呈春季<夏季<秋季,干季<湿季,海南岛各地区的植被NPP在春、夏、秋、干、湿季节的差距不大,但季节内月植被NPP的分布特征不一致,干季的离散程度远高于湿季.研究结果可为海南岛生态系统生产力评估、区域生态规划和安全提供参考,也可助力海南岛生态环境的保护和建设.Net primary productivity of vegetation(NPP)is an important indicator reflecting the growth status of vegetation,also an important link in the terrestrial carbon cycle. In the report,based on the dataset of the highresolution global carbon assimilation system research from multi-source satellite remote sensing,Sen slope estimation,MK non-parametric test,and dispersion coefficient were used to analyze the spatial and temporal variation characteristics of vegetation NPP at different time scales in various regions of Hainan Island from 2000 –2019. The results indicated that:(1)The NPP of whole Hainan Island presents a circular distribution,with high value all in the central mountainous area,rich in forest resources,and low value mostly in the more affected coastal areas.(2)During the period 2000-2019,the average annual NPP of the whole Hainan Island is768. 45 g·C·m^(-2)·a^(-1),and over the eighteen regions all showed a significant upward trend with varying degrees of fluctuation.(3) The seasonal change of vegetation NPP in most areas were observed from small to high,spring < summer < autumn and dry season < wet season. The change of NPP of eighteen regions of Hainan Island among spring,summer,and autumn and between dry and wet seasons is not significant,however,the distribution characteristics of the monthly vegetation NPP within dry and wet seasons are inconsistent,the discrete degree of the dry season is higher than that of the wet season. Our findings provide valuable reference for ecosystem productivity assessment,regional ecological security and planning.
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