2000—2020年黄土高原NEP时空格局与驱动力
收稿日期: 2023-06-30
修回日期: 2023-08-03
网络出版日期: 2023-12-01
基金资助
国家自然科学基金项目(41301451)
Analysis of spatial and temporal patterns and drivers of local regional NEP in the Loess Plateau from 2000 to 2020
Received date: 2023-06-30
Revised date: 2023-08-03
Online published: 2023-12-01
黄土高原是中国重要的生态屏障。在全球变化的背景下，黄土高原的碳收支平衡备受关注。本研究基于MOD17A3HGF数据，通过GSMSR模型、趋势分析、差异分析以及地理探测器等方法，分析2000—2020年黄土高原的碳源/汇特征，揭示2000—2020年该区域生态系统净生产力（NEP）的时空格局及其驱动因素。同时，将研究区按经度方向划分为西、中、东三个子区域，比较不同区域内驱动因素的差异性。结果表明：（1） 近20 a黄土高原49.69%的区域从碳源向碳汇转变；NEP随时间波动上升，在东南部高于西北部，多年平均值为12 g C·m-2·a-1。（2） 水分条件是影响NEP空间分布的主要自然因素，而土地利用类型则是影响NEP空间分布的主要人为因素；不同因子间的交互作用对NEP的影响普遍大于单个因子。（3） 西、中、东三个子区域NEP的驱动因子存在明显的空间分异特征，中、西部地区受气候影响较多，以降水、湿度等水分条件为主；东部地区受地形、气候、人类活动等因素综合影响，其中，以土地利用类型为代表的人为干扰最强。
裴宏泽 , 赵亚超 , 张廷龙 . 2000—2020年黄土高原NEP时空格局与驱动力[J]. 干旱区研究, 2023 , 40(11) : 1833 -1844 . DOI: 10.13866/j.azr.2023.11.13
The Loess Plateau is an important ecological barrier in China. In the context of global change, the carbon balance of the region is of great concern. In this study, based on MOD17A3HGF data, we analyzed the carbon source/sink characteristics of the local area of the Loess Plateau from 2000 to 2020 using the geostatistical model of soil respiration (GSMSR) model, trend analysis, difference analysis, and Geodetector, to reveal the spatial and temporal patterns of the region’s net ecosystem productivity (NEP) and its driving factors from 2000 to 2020. Meanwhile, the study area was divided longitudinally into three subregions, west, center, and east, to compare the variability of drivers within different regions. The results showed that: (1) 49.69% of the localized area of the Loess Plateau shifted from a carbon source to a carbon sink within 21 years. NEP fluctuated upward with time, and was higher in the southeast than in the northwest, with a multi-year average of 12 g C·m-2·a-1· (2) Moisture condition was the main natural factor affecting the spatial distribution of NEP, while land use type was the main anthropogenic factor influencing the spatial distribution of NEP. In addition, the influence of the interaction between different factors on NEP was generally greater than that of single factors. The effects of interactions between different factors on NEP were generally greater than those of individual factors. (3) The factors driving NEP in the three subregions of west, central, and east have clear spatial differentiation characteristics, the central and western regions are more affected by climate, with precipitation, humidity, and other moisture conditions as the main ones. The eastern region is affected by a combination of factors such as topography, climate, and human activities, and anthropogenic interference, represented by land use type, is the strongest among these factors. This knowledge can serve as a basis for effective carbon management strategies and ecosystem conservation efforts in the region.
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