IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2022i1p13-d1009701.html
   My bibliography  Save this article

Climate Change and Diurnal Warming: Impacts on the Growth of Different Vegetation Types in the North–South Transition Zone of China

Author

Listed:
  • Li Li

    (School of Government, Beijing Normal University, Beijing 100875, China)

  • Lianqi Zhu

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Nan Xu

    (School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China)

  • Ying Liang

    (School of Government, Beijing Normal University, Beijing 100875, China)

  • Zhengyu Zhang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Junjie Liu

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Xin Li

    (School of Architecture, Nanyang Institute of Technology, Nanyang 473004, China)

Abstract

Since land use/cover change profoundly impacts climate change and global warming has become an irreversible trend in the Anthropocene, there have been numerous global studies on the impact of climate change on vegetation growth (VG). However, the effects of climate extremes on the growth and direction of various vegetation types need to be better investigated, especially in the climate transition zones. In this paper, we examined the effect of diurnal warming on the growth of various types of vegetation in China’s north–south transition zone. Based on the daily observation data of 92 meteorological stations in the Qinling-Daba (Qinba) mountainous area from 1982 to 2015, coupled with the Normalized Difference Vegetation Index (NDVI) and data on the type of vegetation. This research examined the temporal changes in the highest and lowest temperatures during the last 33 years using trend analysis. Second-order correlation analysis was used to investigate vegetation NDVI response characteristics to diurnal warming and to examine the effect of diurnal warming on the growth of different vegetation types. Our results showed that maximum temperature (T max ) and minimum temperature (T min ) showed an obvious upward trend, with the daytime temperature increase rate 1.2 times that at night, but failing the t -test. In addition, diurnal warming promoted vegetation growth, with NDVI associated positively correlated with T max at approximately 91.2% of the sites and 3492 rasters and with T min at roughly 53.25% of the sites and 2864 rasters. Spatial significance analysis showed an apparent difference, but few areas passed the t -test. Furthermore, daytime warming enhanced the growth of grasses, shrubs, deciduous broad-leaved forests, crops, and conifers, while the effect of nighttime warming on VG had a positive effect only on the growth of evergreen broad-leaved forest vegetation. These findings reveal the mechanisms of the impact of climate extremes on VG under global change, particularly the extent to which different vegetation types in climatic transitional zones respond to climate extremes.

Suggested Citation

  • Li Li & Lianqi Zhu & Nan Xu & Ying Liang & Zhengyu Zhang & Junjie Liu & Xin Li, 2022. "Climate Change and Diurnal Warming: Impacts on the Growth of Different Vegetation Types in the North–South Transition Zone of China," Land, MDPI, vol. 12(1), pages 1-16, December.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:13-:d:1009701
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/1/13/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/1/13/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kai Jin & Fei Wang & Pengfei Li, 2018. "Responses of Vegetation Cover to Environmental Change in Large Cities of China," Sustainability, MDPI, vol. 10(1), pages 1-16, January.
    2. Shushi Peng & Shilong Piao & Philippe Ciais & Ranga B. Myneni & Anping Chen & Frédéric Chevallier & Albertus J. Dolman & Ivan A. Janssens & Josep Peñuelas & Gengxin Zhang & Sara Vicca & Shiqiang Wan &, 2013. "Asymmetric effects of daytime and night-time warming on Northern Hemisphere vegetation," Nature, Nature, vol. 501(7465), pages 88-92, September.
    3. Neville Nicholls, 1997. "Increased Australian wheat yield due to recent climate trends," Nature, Nature, vol. 387(6632), pages 484-485, May.
    4. Haoming Xia & Ainong Li & Gary Feng & Yang Li & Yaochen Qin & Guangbin Lei & Yaoping Cui, 2018. "The Effects of Asymmetric Diurnal Warming on Vegetation Growth of the Tibetan Plateau over the Past Three Decades," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    5. Shengnan Jiang & Guoen Wei & Zhenke Zhang & Yue Wang & Minghui Xu & Qing Wang & Priyanko Das & Binglin Liu, 2020. "Detecting the Dynamics of Urban Growth in Africa Using DMSP/OLS Nighttime Light Data," Land, MDPI, vol. 10(1), pages 1-19, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lulu Yang & Xieqihua Liu & Xiaolan Kang & Yuxia Zhu & Chaobao Wu & Bin Liu & Wen Li, 2025. "Coupling Agricultural Carbon Emission Efficiency and Economic Growth: Evidence from Jiangxi Province, China," Sustainability, MDPI, vol. 17(9), pages 1-28, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gupta, Rishabh & Mishra, Ashok, 2019. "Climate change induced impact and uncertainty of rice yield of agro-ecological zones of India," Agricultural Systems, Elsevier, vol. 173(C), pages 1-11.
    2. Joshi, Niraj Prakash & Maharjan, Keshav Lall & Piya, Luni, 2011. "Effect of climate variables on yield of major food-crops in Nepal -A time-series analysis-," MPRA Paper 35379, University Library of Munich, Germany.
    3. Andrei Kirilenko & Nikolai Dronin, 2022. "Recent grain production boom in Russia in historical context," Climatic Change, Springer, vol. 171(3), pages 1-19, April.
    4. Sohail Abbas & Zulfiqar Ali Mayo, 2021. "Impact of temperature and rainfall on rice production in Punjab, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1706-1728, February.
    5. Wang, Teng & Yi, Fujin & Liu, Huilin & Wu, Ximing & Zhong, Funing, 2021. "Can Agricultural Mechanization Have a Mitigation Effect on China's Yield Variability?," 2021 Conference, August 17-31, 2021, Virtual 315098, International Association of Agricultural Economists.
    6. Ma, Shaoxiu & Churkina, Galina & Wieland, Ralf & Gessler, Arthur, 2011. "Optimization and evaluation of the ANTHRO-BGC model for winter crops in Europe," Ecological Modelling, Elsevier, vol. 222(20), pages 3662-3679.
    7. Wei Zhang & Liang Zhou & Yan Zhang & Zhijie Chen & Fengning Hu, 2022. "Impacts of Ecological Migration on Land Use and Vegetation Restoration in Arid Zones," Land, MDPI, vol. 11(6), pages 1-19, June.
    8. Zhiyuan Song & Ziyi Gao & Xianming Yang & Yuejing Ge, 2022. "Distinguishing the Impacts of Human Activities and Climate Change on the Livelihood Environment of Pastoralists in the Qinghai Lake Basin," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    9. Traore, Seydou & Zhang, Lei & Guven, Aytac & Fipps, Guy, 2020. "Rice yield response forecasting tool (YIELDCAST) for supporting climate change adaptation decision in Sahel," Agricultural Water Management, Elsevier, vol. 239(C).
    10. Huicong An & Xiaorong Zhang & Jiaqi Ye, 2024. "Analysis of Vegetation Environmental Stress and the Lag Effect in Countries along the “Six Economic Corridors”," Sustainability, MDPI, vol. 16(8), pages 1-18, April.
    11. Wenqing Li & Rubén D. Manzanedo & Yuan Jiang & Wenqiu Ma & Enzai Du & Shoudong Zhao & Tim Rademacher & Manyu Dong & Hui Xu & Xinyu Kang & Jun Wang & Fang Wu & Xuefeng Cui & Neil Pederson, 2023. "Reassessment of growth-climate relations indicates the potential for decline across Eurasian boreal larch forests," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    12. Anubhab Pattanayak & K. S. Kavi Kumar, 2014. "Weather Sensitivity Of Rice Yield: Evidence From India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 1-24.
    13. Andrew L. Fletcher & Chao Chen & Noboru Ota & Roger A. Lawes & Yvette M. Oliver, 2020. "Has historic climate change affected the spatial distribution of water-limited wheat yield across Western Australia?," Climatic Change, Springer, vol. 159(3), pages 347-364, April.
    14. Ibrahim Njouenwet & Derbetini Appolinaire Vondou & Stephanie Vanessa Ngono Ashu & Robert Nouayou, 2021. "Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields," Sustainability, MDPI, vol. 13(21), pages 1-13, November.
    15. Fanta F. Jabbi & Yu’e Li & Tianyi Zhang & Wang Bin & Waseem Hassan & You Songcai, 2021. "Impacts of Temperature Trends and SPEI on Yields of Major Cereal Crops in the Gambia," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    16. Richard Tol, 2013. "The economic impact of climate change in the 20th and 21st centuries," Climatic Change, Springer, vol. 117(4), pages 795-808, April.
    17. Chemeris, Anna & Liu, Yong & Ker, Alan P., 2022. "Insurance subsidies, climate change, and innovation: Implications for crop yield resiliency," Food Policy, Elsevier, vol. 108(C).
    18. Subhadra Banda, 2013. "The Case of Slum Rehabilitation in Delhi," Working Papers id:5522, eSocialSciences.
    19. Sulin Tao & Shuanghe Shen & Yuhong Li & Qi Wang & Ping Gao & Isaac Mugume, 2016. "Projected Crop Production under Regional Climate Change Using Scenario Data and Modeling: Sensitivity to Chosen Sowing Date and Cultivar," Sustainability, MDPI, vol. 8(3), pages 1-23, February.
    20. Rui Zhang & Yingnan Yang & Tinghui Dang & Yuanjun Zhu & Mingbin Huang, 2022. "Responses of Wheat Yield under Different Fertilization Treatments to Climate Change Based on a 35-Year In Situ Experiment," Agriculture, MDPI, vol. 12(9), pages 1-13, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:13-:d:1009701. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.