[Quantitative Analysis of the Spatial and Temporal Distribution Pattern of Net Primary Productivity of Vegetation in Hubei Province and Its Multiple Driving Forces].

Q2 Environmental Science
Zhi-Gang Zhou, Ye Ding, Min-Li Wang, Hui-Cong Zhang, Shi-Yu Tian, Fan Huang, Feng Yan
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引用次数: 0

Abstract

The health and stability of vegetation ecosystems in Hubei Province are important to the ecological security of the entire Yangtze River Basin. The spatio-temporal succession pattern of vegetation net primary productivity (NPP) in Hubei Province was analyzed by using the Sen trend+MK test, based on the Google earth engine (GEE) platform to obtain the MOD17A3HGF.061 vegetation NPP dataset from 2002 to 2020. The coefficient of variation and the Hurst index were then employed to elucidate the multiple driving mechanisms of NPP spatio-temporal differentiation. This was achieved through the use of optimal parameters-based geographical detectors (OPGD), which were employed to clarify the multiple driving mechanisms of spatial and temporal variability of NPP. The results showed that: ① Between 2002 and 2020, vegetation NPP in Hubei Province showed an increasing trend with a rate of 2.423 8 g·m-2·a-1, spatially higher in the west and lower in the east; vegetation NPP was dominated by low volatility (about 79% of the total), the trend of change was dominated by increase (about 89% of the total), and future change was dominated by weak inverse persistence (about 62% of the total). ② The main factors affecting the change in vegetation NPP in Hubei Province were secondary GDP, tertiary GDP, the number of high-tech enterprises, and elevation (all q-values were greater than 0.5); the two-factor interactions all showed either a two-factor enhancement or a nonlinear enhancement, whereas evapotranspiration ∩ secondary GDP had the highest explanatory power of 0.74. ③ Except for the indicators of type variables, such as slope direction, vegetation type, rock type, soil type, and land use type, most of the other factors showed significant differences in their effects on vegetation NPP in Hubei Province. Economic factors, such as first production GDP in the interval of (1.03 million yuan, 1.16 million yuan), the mean value of NPP in Hubei Province was the largest at 733.886 7 g·m-2·a-1, and the NPP showed a decreasing trend with the increase in these factors. For natural factors, such as elevation in the largest interval measured, in the interval of (1.16e+03 m, 2.71e+03 m), the mean value of NPP in Hubei Province was the largest at 686.4599 g·m-2·a-1, and then the opposite trend was observed. ④ Most of the influencing factors were significantly different from each other on the NPP of vegetation in Hubei Province, indicating that these factors had different mechanisms of action in influencing the NPP of vegetation. The results of the study can provide a data basis for the formulation of policies on ecological protection and restoration of vegetation in Hubei Province and the Yangtze River Basin.

湖北省植被净初级生产力时空分布格局及其多重驱动力定量分析[j]。
湖北省植被生态系统的健康稳定关系到整个长江流域的生态安全。基于谷歌earth engine (GEE)平台,采用Sen趋势+MK检验,分析了湖北省植被净初级生产力(NPP)的时空演替格局。2002 - 2020年061植被NPP数据集。利用变异系数和Hurst指数分析了NPP时空分异的多重驱动机制。这是通过使用基于最优参数的地理探测器(OPGD)来实现的,该探测器用于阐明NPP时空变异的多种驱动机制。结果表明:①2002—2020年,湖北省植被NPP呈增加趋势,速率为2.4238 g·m-2·a-1,空间上西高东低,以低波动率为主(约占总量的79%),变化趋势以增加为主(约占总量的89%),未来变化以弱逆持续性为主(约占总量的62%)。②影响湖北省植被NPP变化的主要因子为二次GDP、第三次GDP、高新技术企业数量和海拔高度(q值均大于0.5),双因子交互作用均表现为双因子增强或非线性增强,其中蒸散发∩二次GDP的解释力最高,为0.74。③湖北省除坡向、植被类型、岩石类型、土壤类型、土地利用类型等类型变量指标外,其余大部分因子对植被NPP的影响差异显著。在(103万元~ 116万元)区间的经济因子中,湖北省的NPP均值最大,为733.886 7 g·m-2·a-1,且NPP随经济因子的增加呈下降趋势。在最大测量区间(1.16e+03 m, 2.71e+03 m)海拔等自然因子中,湖北省NPP均值最大,为686.4599 g·m-2·a-1,之后呈相反趋势。④湖北省大部分影响因子对植被NPP的影响存在显著差异,说明各影响因子对植被NPP的影响机制不同。研究结果可为湖北省及长江流域植被生态保护与恢复政策的制定提供数据依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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