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

被引：2
|
作者：
Cui S. [1 ,2 ]
Jia Z.-Y. [1 ,2 ]
Guo L. [3 ]
Fu Q. [1 ,2 ]
Liu D. [1 ,2 ]
机构：
[1] School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin
[2] Research Center for Eco-Environment Protection of Songhua River Basin, Northeast Agricultural University, Harbin
[3] School of Economics and Management, Harbin University of Science and Technology, Harbin
来源：
Huanjing Kexue/Environmental Science | 2024年 / 45卷 / 01期
关键词：
altitude gradients; extreme climate events; influencing factors; net primary productivity(NPP); Songhua River Basin;
D O I：
10.13227/j.hjkx.202301118
中图分类号：
学科分类号：
摘要：
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. © 2024 Science Press. All rights reserved.
引用
收藏
页码：275 / 286
页数：11
相关论文
共 61 条
  • [1] Liu L L, Jiang Y, Gao J B, Et al., Concurrent climate extremes and impacts on ecosystems in Southwest China[J], Remote Sensing, 14, 7, (2022)
  • [2] Zhu Q, Wang Y N, Zhou W M, Et al., Spatiotemporal changes and driving factors of ecological vulnerability in Northeast China forest belt [J], Chinese Journal of Ecology, 40, 11, pp. 3474-3482, (2021)
  • [3] Climate Change 2022:mitigation of climate change
  • [4] Wu J, Han Z Y, Xu Y, Et al., Changes in extreme climate events in China under 1. 5°C -4°C global warming targets:Projections using an ensemble of regional climate model simulations, Journal of Geophysical Research:Atmospheres, 125, 2, (2020)
  • [5] Piao S L, Zhang X P, Chen A P, Et al., The impacts of climate extremes on the terrestrial carbon cycle:A review, Science China Earth Sciences, 62, 10, pp. 1551-1563, (2019)
  • [6] Xu Y, Huang H Y, Dai Q Y, Et al., Spatial-temporal variation of net primary productivity in terrestrial vegetation ecosystems and its driving forces in Southwest China[J], Environmental Science, 44, 5, pp. 2704-2714, (2023)
  • [7] Du H B, Alexander L V, Donat M G, Et al., Precipitation from persistent extremes is increasing in most regions and globally[J], Geophysical Research Letters, 46, 11, pp. 6041-6049, (2019)
  • [8] Iyakaremye V, Zeng G, Zhang G., Changes in extreme temperature events over Africa under 1. 5 and 2. 0°C global warming scenarios [J], International Journal of Climatology, 41, 2, pp. 1506-1524, (2021)
  • [9] Tan M L, Juneng L, Tangang F T, Et al., Changes in temperature extremes and their relationship with ENSO in Malaysia from 1985 to 2018[J], International Journal of Climatology, 41, pp. E2564-E2580, (2021)
  • [10] Wang L Y, Chen S F, Zhu W B, Et al., Spatiotemporal variations of extreme precipitation and its potential driving factors in China ' s North-South Transition Zone during 1960-2017, Atmospheric Research, 252, (2021)
1234567