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江西省2000-2020年间NDVI的梯度效应

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探究江西省植被覆盖变化的不同梯度分布规律及其影响因素,评估其植被时空变化,有助于全省开展相关生态保护与修复工作。通过分析长时间序列的NDVI数据,采用线性模型拟合曲线法,研究了江西省在不同海拔下NDVI的变化特征及其空间梯度差异,同时探讨了自然与人为因素对NDVI的影响机制。研究结果表明:2000-2020年间,江西省低海拔地区NDVI呈现快速增长趋势,NDVI的分布显示出明显的梯度效应,高植被覆盖主要集中在低海拔地区,随着海拔的升高,植被覆盖度逐渐降低;此外,2000-2020年间,NDVI在不同海拔上均与降雨量呈正相关。在不同海拔下,人类活动对NDVI的影响程度呈现出明显的梯度差异,高海拔地区的人类活动对NDVI的影响逐渐增强,而低海拔地区的影响则逐渐减缓;在人类活动密集的低海拔地区,耕地面积占比最高(0。25%),草地面积占比最低,而中海拔地区主要以林地为主(30%~40%),其次为草地,高海拔地区则林地占比最高。研究结果为江西省生态环境建设及可持续发展提供了理论依据。
Gradient Effects of NDVI in Jiangxi Province during 2000-2020
Explore the different gradient distribution rules and influencing factors of vegetation cover change in Jiangxi province,and evaluate the spatial and temporal changes of vegetation,which is helpful to carry out the relevant ecological protection and restoration work in the whole province.By analyzing the NDVI data and using linear model fitting curve method,we studied the variation characteristics of NDVI and its spatial gradient differences in Jiangxi province at different elevations,and investigated the mechanism of natural and human factors on NDVI.The results show that from 2000 to 2020,NDVI in the low altitude area of Jiangxi province showed a rapid growth trend,and the distribution of NDVI showed obvious gradient effect.High vegetation coverage is mainly concentrated in the low altitude area,and the vegetation coverage gradually decreased;in addition,from 2000 to 2020,NDVI was positively correlated with rainfall at different elevations.At different elevations,the influence of human activity on NDVI showed obvious gradient difference,the influence of human activity in high altitude gradually increased,while the effect of cultivated land area is the highest(0.25%),the grassland area is the lowest,while the middle altitude area is mainly woodland(30%-40%),followed by grassland and the highest.The results provide a theoretical basis for the ecological environment construction and sustainable development in Jiangxi province.

normalized difference vegetation index(NDVI)gradient effectinfluencing factortemporal and spatial variationJiangxi province.

喻艳菁、吴小红、石金明

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南昌市生态环境监测中心,南昌 330038

江西省科学院能源研究所,温室气体核算与碳减排江西省重点实验室,南昌 330096

江西省碳中和研究中心,南昌 330096

归一化植被指数NDVI 梯度效应 影响因素 时空变化 江西省

2024

能源研究与管理
江西省能源研究会 江西省科学院能源研究所 江西省经贸委节能技术中心

能源研究与管理

影响因子:0.207
ISSN:1005-7676
年,卷(期):2024.16(4)