IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i7p5830-d1108981.html
   My bibliography  Save this article

Spatiotemporal Patterns of Land Surface Phenology from 2001 to 2021 in the Agricultural Pastoral Ecotone of Northern China

Author

Listed:
  • Baocheng Wei

    (College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
    Provincial Key Laboratory of Mongolian Plateau’s Climate System, Inner Mongolia Normal University, Hohhot 010022, China)

  • Jing Wei

    (Conservation Center of Agricultural and Animal Husbandry Ecological Resources, Ulanqab 012001, China)

  • Xu Jia

    (College of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot 010051, China)

  • Zhigang Ye

    (College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
    Key Laboratory of Remote Sensing & Geography Information System (Inner Mongolia), Inner Mongolia Normal University, Hohhot 010022, China)

  • Shan Yu

    (College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
    Key Laboratory of Remote Sensing & Geography Information System (Inner Mongolia), Inner Mongolia Normal University, Hohhot 010022, China)

  • Shan Yin

    (College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
    Key Laboratory of Remote Sensing & Geography Information System (Inner Mongolia), Inner Mongolia Normal University, Hohhot 010022, China)

Abstract

Vegetation phenology is one of the most sensitive indicators to understanding terrestrial ecosystem status and change. However, few studies have been conducted to reveal vegetation phenology variation characteristics over the past two decades, especially under the background of the global warming hiatus since 1998. The agricultural pastoral ecotone of northern China (APENC) is an ideal place to analyze land surface phenology (LSP) variation. Therefore, the spatiotemporal patterns of LSP were quantitatively analyzed at regional, basin and pixel scales based on time-series MODIS NDVI data (2001–2021). Results showed that: (i) The start of the growing season (SOS) occurred in 105–141 Julian days, the end of the growing season (EOS) was between 257 and 281 Julian days and the length of the growing season (LOS) varied from 130 to 172 days. The later SOS was mainly distributed in croplands and typical grassland areas, while the early SOS was observed in forests and sandy vegetation coverage areas. The early EOS occurred in typical grasslands, and the later EOS was concentrated in the southeast boundary. The magnitude of the SOS and LOS fluctuation was less than EOS. (ii) The SOS and EOS exhibited overall insignificant advanced and delayed trends at a rate of −0.09 days·yr −1 and 0.12 days·yr −1 , respectively, and the LOS displayed an insignificant extended trend at a rate of 0.26 days·yr −1 at a regional scale. The trends of phenological metrics were consistent with the APENC in the Yellow River and Haihe River Basins. The shortened trend of LOS occurred due to the delayed SOS and advanced EOS in the Songliao River and Continental Basins. (iii) The SOS variation gradually changed from an advanced trend to a delayed trend from a southwest to northeast direction in cropland and grassland ecosystems, whereas an opposite trend was found for EOS. The LOS exhibited a significant extended trend due to the significant advanced and delayed trend of SOS and EOS at p < 0.01 in forest ecosystems. This work provides a critical reference for the vegetation phenology dynamic research of semi-arid and semi-humid regions.

Suggested Citation

  • Baocheng Wei & Jing Wei & Xu Jia & Zhigang Ye & Shan Yu & Shan Yin, 2023. "Spatiotemporal Patterns of Land Surface Phenology from 2001 to 2021 in the Agricultural Pastoral Ecotone of Northern China," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5830-:d:1108981
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/7/5830/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/7/5830/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shilong Piao & Philippe Ciais & Pierre Friedlingstein & Philippe Peylin & Markus Reichstein & Sebastiaan Luyssaert & Hank Margolis & Jingyun Fang & Alan Barr & Anping Chen & Achim Grelle & David Y. Ho, 2008. "Net carbon dioxide losses of northern ecosystems in response to autumn warming," Nature, Nature, vol. 451(7174), pages 49-52, January.
    Full references (including those not matched with items on IDEAS)

    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. Metsaranta, J.M. & Kurz, W.A., 2012. "Inter-annual variability of ecosystem production in boreal jack pine forests (1975–2004) estimated from tree-ring data using CBM-CFS3," Ecological Modelling, Elsevier, vol. 224(1), pages 111-123.
    2. Chaobin Zhang & Ying Zhang & Zhaoqi Wang & Jianlong Li & Inakwu Odeh, 2019. "Monitoring Phenology in the Temperate Grasslands of China from 1982 to 2015 and Its Relation to Net Primary Productivity," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    3. Ouardighi, Fouad El & Sim, Jeong Eun & Kim, Bowon, 2016. "Pollution accumulation and abatement policy in a supply chain," European Journal of Operational Research, Elsevier, vol. 248(3), pages 982-996.
    4. Zhang, Junwei & Xiang, Lingxiao & Zhu, Chenxi & Li, Wuqiang & Jing, Dan & Zhang, Lili & Liu, Yong & Li, Tianlai & Li, Jianming, 2023. "Evaluating the irrigation schedules of greenhouse tomato by simulating soil water balance under drip irrigation," Agricultural Water Management, Elsevier, vol. 283(C).
    5. Xiaoshuai Wei & Mingze Xu & Hongxian Zhao & Xinyue Liu & Zifan Guo & Xinhao Li & Tianshan Zha, 2024. "Exploring Sensitivity of Phenology to Seasonal Climate Differences in Temperate Grasslands of China Based on Normalized Difference Vegetation Index," Land, MDPI, vol. 13(3), pages 1-19, March.
    6. Nölte, Anja & Yousefpour, Rasoul & Hanewinkel, Marc, 2020. "Changes in sessile oak (Quercus petraea) productivity under climate change by improved leaf phenology in the 3-PG model," Ecological Modelling, Elsevier, vol. 438(C).
    7. Xuan Wu & Liang Jiao & Dashi Du & Ruhong Xue & Xingyu Ding & Mengyuan Wei & Peng Zhang, 2022. "Spatial–Temporal Pattern and Influencing Factors of Vegetation Phenology and Net Primary Productivity in the Qilian Mountains of Northwest China," Sustainability, MDPI, vol. 14(21), pages 1-21, November.
    8. Lingyan Zhou & Xuhui Zhou & Yanghui He & Yuling Fu & Zhenggang Du & Meng Lu & Xiaoying Sun & Chenghao Li & Chunyan Lu & Ruiqiang Liu & Guiyao Zhou & Shahla Hosseni Bai & Madhav P. Thakur, 2022. "Global systematic review with meta-analysis shows that warming effects on terrestrial plant biomass allocation are influenced by precipitation and mycorrhizal association," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    9. Fouad El Ouardighi & Hassan Benchekroun & Dieter Grass, 2016. "Self-regenerating environmental absorption efficiency and the $$\varvec{ soylent~green~scenario}$$ s o y l e n t g r e e n s c e n a r i o," Annals of Operations Research, Springer, vol. 238(1), pages 179-198, March.
    10. Haidong Li & Yingkui Li & Yuanyun Gao & Changxin Zou & Shouguang Yan & Jixi Gao, 2016. "Human Impact on Vegetation Dynamics around Lhasa, Southern Tibetan Plateau, China," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    11. Marco Archetti & Andrew D Richardson & John O'Keefe & Nicolas Delpierre, 2013. "Predicting Climate Change Impacts on the Amount and Duration of Autumn Colors in a New England Forest," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-8, March.
    12. Carolina Müller & Manja Hethke & Frank Riedel & Gerhard Helle, 2020. "Inter- and intra-tree variability of carbon and oxygen stable isotope ratios of modern pollen from nine European tree species," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-35, June.
    13. Chen, Bin & Arain, M. Altaf & Chen, Jing M. & Croft, Holly & Grant, Robert F. & Kurz, Werner A. & Bernier, Pierre & Guindon, Luc & Price, David & Wang, Ziyu, 2016. "Evaluating the impacts of climate variability and cutting and insect defoliation on the historical carbon dynamics of a boreal black spruce forest landscape in eastern Canada," Ecological Modelling, Elsevier, vol. 321(C), pages 98-109.
    14. Fouad El Ouardighi & Eugene Khmelnitsky & Marc Leandri, 2020. "Production-based pollution versus deforestation: optimal policy with state-independent and-dependent environmental absorption efficiency restoration process," Annals of Operations Research, Springer, vol. 292(1), pages 1-26, September.
    15. Fouad El Ouardighi & Konstantin Kogan & Giorgio Gnecco & Marcello Sanguineti, 2020. "Transboundary pollution control and environmental absorption efficiency management," Annals of Operations Research, Springer, vol. 287(2), pages 653-681, April.
    16. Chai, Xi & Shi, Peili & Song, Minghua & Zong, Ning & He, Yongtao & Zhao, Guangshai & Zhang, Xianzhou, 2019. "Carbon flux phenology and net ecosystem productivity simulated by a bioclimatic index in an alpine steppe-meadow on the Tibetan Plateau," Ecological Modelling, Elsevier, vol. 394(C), pages 66-75.
    17. Jie Gao & Shu Liu & Zhijian Li, 2021. "Cooperative Evolution of China’s Excellent Innovative Research Groups from the Perspective of Innovation Ecosystem: Taking an “Environmental Biogeochemistry” Research Innovation Group as a Case Study," IJERPH, MDPI, vol. 18(23), pages 1-15, November.
    18. Giacomo Di Ruocco & Luis Palmero Iglesias & Begoña Blandón & Roberta Melella, 2020. "Low-Carbon Tourism—Technical, Economic and Management Project of a Greenway, for Enhancing Inner Areas of the Cilento National Park, Italy," Sustainability, MDPI, vol. 12(23), pages 1-30, November.

    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:jsusta:v:15:y:2023:i:7:p:5830-:d:1108981. 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.