[Impacts of Extreme Climate Events at Different Altitudinal Gradients on Vegetation NPP in Songhua River Basin]

Song Cui; Zhao-Yang Jia; Liang Guo; Qiang Fu; Dong Liu

doi:10.13227/j.hjkx.202301118

[Impacts of Extreme Climate Events at Different Altitudinal Gradients on Vegetation NPP in Songhua River Basin]

Huan Jing Ke Xue. 2024 Jan 8;45(1):275-286. doi: 10.13227/j.hjkx.202301118.

[Article in Chinese]

Authors

Song Cui^{1

2}, Zhao-Yang Jia^{1

2}, Liang Guo³, Qiang Fu^{1

2}, Dong Liu^{1

2}

Affiliations

¹ School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China.
² Research Center for Eco-Environment Protection of Songhua River Basin, Northeast Agricultural University, Harbin 150030, China.
³ School of Economics and Management, Harbin University of Science and Technology, Harbin 150086, China.

PMID: 38216478
DOI: 10.13227/j.hjkx.202301118

Abstract

Vegetation net primary production (NPP) is an essential index for determining the quality of terrestrial ecosystems and their potential carbon storage ability. The impacts of extreme climate events on vegetation NPP are different under different altitude gradients. However, the research on the impact of extreme climate events on the spatial variation in vegetation NPP and the coupling effects under different altitude conditions remain insufficient. Using the MOD17A3HGF remote sensing data set and RClimDex 1.9 software, the vegetation NPP and 10 extreme climate indices in the Songhua River Basin from 2001 to 2020 were calculated, respectively. The spatial and temporal evolution characteristics of vegetation NPP and its response mechanism to extreme climate events in the Songhua River Basin under different altitude gradients were analyzed by means of trend analysis, correlation analysis, regression analysis, GeoDetector, and relative importance analysis. The results showed that:① the vegetation NPP (calculated by C) in the Songhua River Basin increased significantly at the rate of 4.13 g·(m²·a)^-1 from 2001 to 2020 (P < 0.01), and the rates of 3.65, 4.04, 4.70, 5.09, and 4.57 g·(m²·a)^-1 at the altitude gradients of 29-255, 255-440, 440-658, 658-935, and 935-2 589 m, respectively (P < 0.01). ② The spatial distribution pattern of vegetation NPP presented "high around and low in the middle," and the fluctuation of vegetation NPP in high altitude areas was more obvious than that in low altitude areas; for example, the average value of vegetation NPP at an altitude gradient from 29 to 255 m had a lower value, whereas the other altitude gradients had higher mean values than the mean value of the basin. ③ The extreme precipitation events in the Songhua River Basin were the main influencing factors of vegetation NPP, i.e., the vegetation NPP in low-altitude areas was mainly affected by extreme precipitation events, whereas the values in high-altitude areas were affected by both extreme precipitation events and extreme temperature events. The results of this research can provide a scientific basis for improving the carbon cycle model of the terrestrial ecosystem in the Songhua River Basin, quantifying the ability of carbon storage of vegetation and formulating policies to deal with climate change.

Keywords: Songhua River Basin; altitude gradients; extreme climate events; influencing factors; net primary productivity （NPP）.

Publication types

English Abstract

MeSH terms

Carbon
China
Climate Change
Ecosystem*
Rivers*
Temperature

Substances

Carbon