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中国长白山自然保护区总初级生产力的时空变化及其影响因素。

Temporal and spatial variations and influencing factors of gross primary productivity in Changbai Mountain Nature Reserve, China.

机构信息

University of Chinese Academy of Sciences, Beijing 100049, China.

Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2023 May;34(5):1341-1348. doi: 10.13287/j.1001-9332.202305.026.

DOI:10.13287/j.1001-9332.202305.026
PMID:37236952
Abstract

Changbai Mountain Nature Reserve (CNR) is a typical temperate forest ecosystem, and gross primary production (GPP) of which is closely related to topography and climate change. Research on the spatio-temporal variations and influencing factors of GPP in the CNR is of great significance for assessing growth status of vegetation and the quality of ecological environment. We calculated GPP in CNR using the vegetation photosynthesis model (VPM), and analyzed the influences of slope, altitude, temperature, precipitation, and total radiation. The results showed that the range of annual average GPP in CNR was 63-1706 g C·m·a from 2000 to 2020 and that GPP decreased with the increases of altitude. Temperature played the most important role in driving the spatial varia-tion of GPP, with a significant positive correlation with GPP. During the study period, the overall annual GPP showed a significant increase trend in CNR, with an average annual increase of 13 g C·m·a. The areas with increase of annual GPP accounted for 79.9% of the total area, and the area proportion of annual GPP increase differed in each plant functional type. Annual precipitation was significantly negatively correlated with GPP in 43.2% of CNR, while annual mean temperature and annual total radiation were significantly positively correlated with GPP in 47.2% and 82.4% of CNR. GPP would increase continuously in CNR under the scenario of future global warming.

摘要

长白山自然保护区(CNR)是一个典型的温带森林生态系统,其总初级生产力(GPP)与地形和气候变化密切相关。研究 CNR 中 GPP 的时空变化及其影响因素,对于评估植被生长状况和生态环境质量具有重要意义。我们使用植被光合作用模型(VPM)计算了 CNR 中的 GPP,并分析了坡度、海拔、温度、降水和总辐射的影响。结果表明,2000 年至 2020 年,CNR 的年平均 GPP 范围为 63-1706g C·m·a-1,且 GPP 随海拔升高而降低。温度对 GPP 的空间变化起着最重要的作用,与 GPP 呈显著正相关。在研究期间,CNR 的总年 GPP 呈显著增加趋势,平均每年增加 13g C·m·a-1。年 GPP 增加的面积占总面积的 79.9%,不同植物功能类型的年 GPP 增加面积比例不同。在 CNR 的 43.2%的区域中,年降水量与 GPP 呈显著负相关,而年平均温度和年总辐射在 CNR 的 47.2%和 82.4%的区域中与 GPP 呈显著正相关。在未来全球变暖的情景下,CNR 的 GPP 将持续增加。

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