2016 至 2022 年中国南沙群岛植被绿化变化的驱动因素、趋势和模式

IF 3.4 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Jiasheng Tang, Dongjie Fu, Fenzhen Su, Hao Yu, Xinhui Wang
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引用次数: 0

摘要

植被状况的变化通常也代表着岛礁生态健康状况的变化。然而,关于中国南沙群岛植被变化的驱动因素和趋势以及它们与气候变化和人类活动的关系的研究十分有限。为了解决这一问题,我们研究了南沙群岛 22 个岛礁在正常和极端条件下归一化植被指数(NDVI)植被绿度指数的变化。利用Sen's斜率和Mann-Kendall检验分析了两个空间尺度(象素和岛屿)的植被绿度变化趋势,并通过时滞偏相关分析进行了驱动因子分析。这些因素与 2016 年至 2022 年正常条件(温度、降水、辐射和归一化差异积聚指数(NDBI))和极端条件(风速和红外纬度)下人类活动和气候因素的影响有关。结果显示1)在 22 个 IR 中,15/4 个 IR 的 NDVI 分别显著增加/减少。华阳礁的 NDVI 变化率最高(0.48%/月),中业岛最低(-0.29%/月)。局部空间格局有两种形式:点状和带状退化。2)在正常条件下,人类活动(以 NDBI 为特征)对植被绿度的影响高于其他因素。3)在极端条件下,风速(R2 = 0.2337,P < 0.05)和纬度(R2 = 0.2769,P < 0.05)对台风事件造成的变化的解释有限。我们的研究结果为南沙群岛的可持续发展和联合国 "海洋十年 "倡议提供了科学支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drivers, Trends, and Patterns of Changing Vegetation-greenness in Nansha Islands, China from 2016 to 2022

Changes in vegetation status generally also represents changes in the ecological health of islands and reefs (IRs). However, studies are limited of drivers and trends of vegetation change of Nansha Islands, China and how they relate to climate change and human activities. To resolve this limitation, we studied changes to the Normalized Difference Vegetation Index (NDVI) vegetation-greenness index for 22 IRs of Nansha Islands during normal and extreme conditions. Trends of vegetation greenness were analyzed using Sen’ s slope and Mann-Kendall test at two spatial scales (pixel and island), and driving factor analyses were performed by time-lagged partial correlation analyses. These were related to impacts from human activities and climatic factors under normal (temperature, precipitation, radiation, and Normalized Difference Built-up Index (NDBI)) and extreme conditions (wind speed and latitude of IRs) from 2016 to 2022. Results showed: 1) among the 22 IRs, NDVI increased/decreased significantly in 15/4 IRs, respectively. Huayang Reef had the highest NDVI change-rate (0.48%/mon), and Zhongye Island had the lowest (−0.29%/mon). Local spatial patterns were in one of two forms: dotted-form, and degradation in banded-form. 2) Under normal conditions, human activities (characterized by NDBI) had higher impacts on vegetation-greenness than other factors. 3) Under extreme conditions, wind speed (R2 = 0.2337, P < 0.05) and latitude (R2 = 0.2769, P < 0.05) provided limited explanation for changes from typhoon events. Our results provide scientific support for the sustainable development of Nansha Islands and the United Nations ‘Ocean Decade’ initiative.

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来源期刊
Chinese Geographical Science
Chinese Geographical Science 环境科学-环境科学
CiteScore
6.10
自引率
5.90%
发文量
63
审稿时长
3.0 months
期刊介绍: Chinese Geographical Science is an international journal, sponsored by Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, and published by Science Press, Beijing, China. Chinese Geographical Science is devoted to leading scientific and technological innovation in geography, serving development in China, and promoting international scientific exchange. The journal mainly covers physical geography and its sub-disciplines, human geography and its sub-disciplines, cartography, remote sensing, and geographic information systems. It pays close attention to the major issues the world is concerned with, such as the man-land relationship, population, resources, environment, globalization and regional development.
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