Assessing Climate Change Impacts on Crop Yields and Exploring Adaptation Strategies in Northeast China

被引:11
作者
Xu, Qingchen [1 ]
Liang, Hongbin [1 ]
Wei, Zhongwang [1 ]
Zhang, Yonggen [2 ]
Lu, Xingjie [1 ]
Li, Fang [3 ]
Wei, Nan [1 ]
Zhang, Shupeng [1 ]
Yuan, Hua [1 ]
Liu, Shaofeng [1 ]
Dai, Yongjiu [1 ]
机构
[1] Sun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Guangdong Prov Key Lab Climate Change, Zhuhai, Peoples R China
[2] Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin, Peoples R China
[3] Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
crop yield change; Northeast China; crop model; climate projections; adaptation strategies; MODEL DESCRIPTION; WATER-RESOURCES; ELEVATED CO2; AGRICULTURE; SIMULATION; GROWTH; IMPLEMENTATION; PRODUCTIVITY; REGRESSION; PROJECTION;
D O I
10.1029/2023EF004063
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Northeast China (NEC) is the most prominent grain-producing region in China. However, it is currently facing significant impacts from climate change. Since the climate-related impacts on crop yield in this region are a major concern for society in the future, quantifying climate change impacts on crop yields in NEC is essential to ensure future food security. This study aimed to quantify the effects of future climate change on crop yields in NEC and explore adaptation strategies using the Crop Growth Model (PCSE) driven by downscaled CMIP6 climate projections under four Shared Socioeconomic Pathways (SSPs) scenarios during 2015-2100. Results showed that there could be average reductions in crop yields of 21.4% for maize and 4.2% for soybean by the year 2100 under SSP585 compared to the 2015 baseline. The increasing temperature was the dominant factor in reducing yields, although elevated CO2 and precipitation offered partial compensation. The optimized planting date brought noticeable benefits for rice and soybean but had limited effects on maize due to heat stress. Relocating rice expansion eastward and implementing earlier planting increased yields by up to 50% but adversely decreased soybean and maize due to competition. This study enriches our comprehension of climate change impacts on NEC agriculture, while also quantifying potential benefits and constraints of evaluated adaptations. The proposed adaptations may help mitigate projected yield declines in other key agricultural regions across the globe. Adjusting crop management practices to capitalize on changing climate factors shows promise as a strategy for sustaining production globally. Northeast China (NEC) is essential for achieving food accessibility and food security in China, but its agricultural production is seriously threatened by climate change. This study investigated how climate change could impact maize, rice, and soybean crop yields in this region from 2015 to 2100, using the PCSE crop model and forcing from the international Coupled Model Intercomparison Project 6 (CMIP6) climate projections. Simulation results suggested rising temperatures would negatively affect crop yields, especially for maize. Increased carbon dioxide and rainfall partially offset these losses. By 2100, average declines were projected for maize (-21%) and soybeans (-4%), respectively. Altering planting dates to match crop needs was an effective adaptation to boost yields, with rice benefiting the most. Relocating rice production eastward and expanding its area substantially increased simulated rice yields (+62%) but decreased other crops due to competition (-32% maize, -28% soybeans). Even with adaptations, some areas still showed yield declines, indicating extra measures may be needed to maintain production. Overall, this study suggests significant risks to crop yields from climate change in Northeast China, with adaptations like optimized planting and strategic crop relocation able to mitigate some but not all of the projected impacts. Rising temperatures negatively impacted simulated future crop yields, especially for maize Adjusting planting dates boosted yields for rice and soybeans but had limited benefits for maize Relocating and expanding the rice area increased yields substantially
引用
收藏
页数:22
相关论文
共 114 条
  • [1] Partial least squares regression and projection on latent structure regression (PLS Regression)
    Abdi, Herve
    [J]. WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 2010, 2 (01): : 97 - 106
  • [2] Aeschbach-Hertig W, 2012, NAT GEOSCI, V5, P853, DOI [10.1038/ngeo1617, 10.1038/NGEO1617]
  • [3] Novel multimodel ensemble approach to evaluate the sole effect of elevated CO2 on winter wheat productivity
    Ahmed, Mukhtar
    Stockle, Claudio O.
    Nelson, Roger
    Higgins, Stewart
    Ahmad, Shakeel
    Raza, Muhammad Ali
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [4] Agricultural Research, Productivity, and Food Prices in the Long Run
    Alston, Julian M.
    Beddow, Jason M.
    Pardey, Philip G.
    [J]. SCIENCE, 2009, 325 (5945) : 1209 - 1210
  • [5] Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/NCLIMATE2470, 10.1038/nclimate2470]
  • [6] Climate change impact and adaptation for wheat protein
    Asseng, Senthold
    Martre, Pierre
    Maiorano, Andrea
    Roetter, Reimund P.
    O'Leary, Garry J.
    Fitzgerald, Glenn J.
    Girousse, Christine
    Motzo, Rosella
    Giunta, Francesco
    Babar, M. Ali
    Reynolds, Matthew P.
    Kheir, Ahmed M. S.
    Thorburn, Peter J.
    Waha, Katharina
    Ruane, Alex C.
    Aggarwal, Pramod K.
    Ahmed, Mukhtar
    Balkovic, Juraj
    Basso, Bruno
    Biernath, Christian
    Bindi, Marco
    Cammarano, Davide
    Challinor, Andrew J.
    De Sanctis, Giacomo
    Dumont, Benjamin
    Rezaei, Ehsan Eyshi
    Fereres, Elias
    Ferrise, Roberto
    Garcia-Vila, Margarita
    Gayler, Sebastian
    Gao, Yujing
    Horan, Heidi
    Hoogenboom, Gerrit
    Izaurralde, R. Cesar
    Jabloun, Mohamed
    Jones, Curtis D.
    Kassie, Belay T.
    Kersebaum, Kurt-Christian
    Klein, Christian
    Koehler, Ann-Kristin
    Liu, Bing
    Minoli, Sara
    San Martin, Manuel Montesino
    Mueller, Christoph
    Kumar, Soora Naresh
    Nendel, Claas
    Olesen, Jorgen Eivind
    Palosuo, Taru
    Porter, John R.
    Priesack, Eckart
    [J]. GLOBAL CHANGE BIOLOGY, 2019, 25 (01) : 155 - 173
  • [7] Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation
    Balkovic, Juraj
    van der Velde, Marijn
    Schmid, Erwin
    Skalsky, Rastislav
    Khabarov, Nikolay
    Obersteiner, Michael
    Stuermer, Bernhard
    Xiong, Wei
    [J]. AGRICULTURAL SYSTEMS, 2013, 120 : 61 - 75
  • [8] Relocating croplands could drastically reduce the environmental impacts of global food production
    Beyer, Robert M.
    Hua, Fangyuan
    Martin, Philip A.
    Manica, Andrea
    Rademacher, Tim
    [J]. COMMUNICATIONS EARTH & ENVIRONMENT, 2022, 3 (01):
  • [9] Modelling the role of agriculture for the 20th century global terrestrial carbon balance
    Bondeau, Alberte
    Smith, Pascalle C.
    Zaehle, Soenke
    Schaphoff, Sibyll
    Lucht, Wolfgang
    Cramer, Wolfgang
    Gerten, Dieter
    Lotze-Campen, Hermann
    Mueller, Christoph
    Reichstein, Markus
    Smith, Benjamin
    [J]. GLOBAL CHANGE BIOLOGY, 2007, 13 (03) : 679 - 706
  • [10] An overview of the crop model STICS
    Brisson, N
    Gary, C
    Justes, E
    Roche, R
    Mary, B
    Ripoche, D
    Zimmer, D
    Sierra, J
    Bertuzzi, P
    Burger, P
    Bussière, F
    Cabidoche, YM
    Cellier, P
    Debaeke, P
    Gaudillère, JP
    Hénault, C
    Maraux, F
    Seguin, B
    Sinoquet, H
    [J]. EUROPEAN JOURNAL OF AGRONOMY, 2003, 18 (3-4) : 309 - 332