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氣候變化下黑土區(qū)陸地生態(tài)系統(tǒng)碳儲(chǔ)量時(shí)空格局與模擬
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2021YFD150010),、黑土地可持續(xù)利用管理學(xué)科團(tuán)隊(duì)項(xiàng)目(54940212)和東農(nóng)學(xué)者計(jì)劃項(xiàng)目(19QC37)


Spatio-temporal Pattern and Simulation of Terrestrial Ecosystem Carbon Storage in Black Soil Region under Climate Change
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    摘要:

    以典型黑土區(qū)——三江平原為研究區(qū),采用最小二乘法揭示1990—2020年氣候變化下研究區(qū)陸地生態(tài)系統(tǒng)碳儲(chǔ)量變化趨勢(shì),,借助重心分析和冷熱點(diǎn)分析方法揭示研究區(qū)陸地生態(tài)系統(tǒng)碳儲(chǔ)量時(shí)空分異特征,,利用地理加權(quán)回歸法分析氣候因子對(duì)碳儲(chǔ)量的影響,并借助CMIP6數(shù)據(jù)模擬和預(yù)測(cè)高強(qiáng)迫情景(SSP585)和中等強(qiáng)迫情景(SSP245)下陸地生態(tài)系統(tǒng)碳儲(chǔ)量,。結(jié)果表明:氣候變化背景下1990—2020年研究區(qū)碳儲(chǔ)量呈波動(dòng)下降趨勢(shì),,碳儲(chǔ)量損失約2.66×107t,;碳儲(chǔ)量高值區(qū)主要分布在西北部和東部地區(qū),,碳儲(chǔ)量低值區(qū)主要分布在北部和東南部地區(qū);1990—2020年研究區(qū)碳儲(chǔ)量下降速率變化幅度較大,,其中鶴崗市碳儲(chǔ)量下降速率最大,,佳木斯市最小。1990—2020年研究區(qū)碳儲(chǔ)量重心向東北方向移動(dòng)1340m,,其中2000—2020年向東北方向偏移1680m,;碳儲(chǔ)量熱點(diǎn)區(qū)呈片狀和塊狀分布格局,冷點(diǎn)區(qū)呈片狀和帶狀分布格局,,熱點(diǎn)區(qū)范圍基本保持不變,,冷點(diǎn)區(qū)范圍縮小。1990—2020年研究區(qū)年均氣溫、年降水量與碳儲(chǔ)量關(guān)系具有顯著性,,呈正負(fù)無規(guī)律交錯(cuò)分布的空間格局,。氣候與土地利用變化決定碳儲(chǔ)量的時(shí)空格局,其中林地-林地和耕地-耕地碳儲(chǔ)量損失最大,。在SSP585和SSP245情景下,,2030年研究區(qū)碳儲(chǔ)量分別為2.22×107t和2.26×107t,相比2020年分別減少2.17×107t和2.13×107t,,碳儲(chǔ)量空間分布格局未發(fā)生顯著改變,,但冷熱點(diǎn)區(qū)范圍均縮小,重心將持續(xù)向東北方向偏移6525m和6000m,。

    Abstract:

    Taking Sanjiang Plain, a typical black soil region, as the study area, and the least squares method was used to reveal the change trend of terrestrial ecosystem carbon stocks under climate change in 1990—2020. By means of barycentric analysis and cold hot spot analysis, the spatial and temporal differentiation of terrestrial ecosystem carbon stocks in study area was revealed, and the influence of climate factors on carbon stocks was analyzed by geographical weighted regression method. CMIP6 data were used to simulate and predict terrestrial ecosystem carbon stocks under SSP585 and SSP245. The results showed as follows: under the background of climate change, carbon storage in study area showed a fluctuating trend of decline in 1990—2020, and carbon storage loss was about 2.66×107t. The regions with high carbon storage value were mainly distributed in the northwest and east, while the regions with low carbon storage value were mainly distributed in the north and southeast. The rate of carbon storage decline in the study area was changed greatly in 1990—2020, and the rate of carbon storage decline in Hegang City was the largest, while the rate of carbon storage decline in Jiamusi City was the minimum. The center of gravity of carbon storage in study area was shifted 1340m to the northeast in 1990—2020, and 1680m to the northeast in 2000—2020. The distribution pattern of carbon storage hotspots was sheet-like and blocky, and the distribution pattern of cold spots was sheet-like and banded, the range of hot spots was basically unchanged, and the range of cold spots was reduced. The relationship between annual temperature, annual precipitation and carbon storage in study area was significant in 1990—2020, showing a positive and negative interleaving spatial pattern. Climate and land use change determined the spatio-temporal pattern of carbon storage, and forest-forest land and cultivated land-cultivated land led to the greatest loss of carbon storage. Under the SSP585 and SSP245 scenarios, the carbon reserves in study area in 2030 were 2.22×107t and 2.26×107t, respectively, which were reduced by 2.17×107t and 2.13×107t compared with that in 2020, respectively. The spatial distribution pattern of carbon reserves was not changed significantly, but the areas of cold hot spots were reduced. The center of gravity would continue to shift 6525m and 6000m to the northeast.

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蓋兆雪,鄭文璐,王洪彥,杜國(guó)明.氣候變化下黑土區(qū)陸地生態(tài)系統(tǒng)碳儲(chǔ)量時(shí)空格局與模擬[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2024,55(6):303-316. GAI Zhaoxue, ZHENG Wenlu, WANG Hongyan, DU Guoming. Spatio-temporal Pattern and Simulation of Terrestrial Ecosystem Carbon Storage in Black Soil Region under Climate Change[J]. Transactions of the Chinese Society for Agricultural Machinery,2024,55(6):303-316.

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  • 收稿日期:2023-10-08
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  • 在線發(fā)布日期: 2024-06-10
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