IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v304y2015icp34-43.html
   My bibliography  Save this article

A remote sensing model to estimate ecosystem respiration in Northern China and the Tibetan Plateau

Author

Listed:
  • Gao, Yanni
  • Yu, Guirui
  • Li, Shenggong
  • Yan, Huimin
  • Zhu, Xianjin
  • Wang, Qiufeng
  • Shi, Peili
  • Zhao, Liang
  • Li, Yingnian
  • Zhang, Fawei
  • Wang, Yanfen
  • Zhang, Junhui

Abstract

Ecosystem respiration (Re) is rarely quantified from remote sensing data because satellite technique is incapable of observing the key processes associated with soil respiration. In this study, we develop a Remote Sensing Model for Re (ReRSM) by assuming that one part of Re is derived from current photosynthate with the respiratory rate coupling closely with gross primary production (GPP), and the other part of Re is derived from reserved ecosystem organic matter (including plant biomass, plant residues and soil organic matter) with the respiratory rate responding strongly to temperature change. The ReRSM is solely driven by the Enhanced Vegetation Index (EVI), the Land Surface Water Index (LSWI) and the Land Surface Temperature (LST) from MODIS data. Multi-year eddy CO2 flux data of five vegetation types in Northern China and the Tibetan Plateau (including temperate mixed forest, temperate steppe, alpine shrubland, alpine marsh and alpine meadow-steppe) were used for model parameterization and validation. In most cases, the simulated Re agreed well with the observed Re in terms of seasonal and interannual variation irrespective of vegetation types. The ReRSM could explain approximately 93% of the variation in the observed Re across five vegetation types, with the root mean square error (RMSE) of 0.04molCm−2d−1 and the modeling efficiency (EF) of 0.93. Model comparison showed that the performance of the ReRSM was comparable with that of the RECO in the studied five vegetation types, while the former had much fewer parameters than the latter. The ReRSM parameters showed good linear relationships with the mean annual satellite indices. With these linear functions, the ReRSM could explain approximately 90% of the variation in the observed Re across five vegetation types, with the RMSE of 0.05molCm−2d−1 and the EF of 0.89. These analyses indicated that the ReRSM is a simple and alternative approach in Re estimation and has the potential of estimating spatial Re. However, the performance of ReRSM in other vegetation types or regions still needs a further study.

Suggested Citation

  • Gao, Yanni & Yu, Guirui & Li, Shenggong & Yan, Huimin & Zhu, Xianjin & Wang, Qiufeng & Shi, Peili & Zhao, Liang & Li, Yingnian & Zhang, Fawei & Wang, Yanfen & Zhang, Junhui, 2015. "A remote sensing model to estimate ecosystem respiration in Northern China and the Tibetan Plateau," Ecological Modelling, Elsevier, vol. 304(C), pages 34-43.
    • Handle: RePEc:eee:ecomod:v:304:y:2015:i:c:p:34-43
    DOI: 10.1016/j.ecolmodel.2015.03.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015000940
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.03.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gabriel Yvon-Durocher & Jane M. Caffrey & Alessandro Cescatti & Matteo Dossena & Paul del Giorgio & Josep M. Gasol & José M. Montoya & Jukka Pumpanen & Peter A. Staehr & Mark Trimmer & Guy Woodward & , 2012. "Reconciling the temperature dependence of respiration across timescales and ecosystem types," Nature, Nature, vol. 487(7408), pages 472-476, July.
    2. M. Fernández-Martínez & S. Vicca & I. A. Janssens & J. Sardans & S. Luyssaert & M. Campioli & F. S. Chapin III & P. Ciais & Y. Malhi & M. Obersteiner & D. Papale & S. L. Piao & M. Reichstein & F. Rodà, 2014. "Nutrient availability as the key regulator of global forest carbon balance," Nature Climate Change, Nature, vol. 4(6), pages 471-476, June.
    3. Ben Bond-Lamberty & Allison Thomson, 2010. "Temperature-associated increases in the global soil respiration record," Nature, Nature, vol. 464(7288), pages 579-582, March.
    4. R. Valentini & G. Matteucci & A. J. Dolman & E.-D. Schulze & C. Rebmann & E. J. Moors & A. Granier & P. Gross & N. O. Jensen & K. Pilegaard & A. Lindroth & A. Grelle & C. Bernhofer & T. Grünwald & M. , 2000. "Respiration as the main determinant of carbon balance in European forests," Nature, Nature, vol. 404(6780), pages 861-865, April.
    5. Eric A. Davidson & Ivan A. Janssens, 2006. "Temperature sensitivity of soil carbon decomposition and feedbacks to climate change," Nature, Nature, vol. 440(7081), pages 165-173, March.
    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. Xiaobo Zhu & Honglin He & Mingguo Ma & Xiaoli Ren & Li Zhang & Fawei Zhang & Yingnian Li & Peili Shi & Shiping Chen & Yanfen Wang & Xiaoping Xin & Yaoming Ma & Yu Zhang & Mingyuan Du & Rong Ge & Na Ze, 2020. "Estimating Ecosystem Respiration in the Grasslands of Northern China Using Machine Learning: Model Evaluation and Comparison," Sustainability, MDPI, vol. 12(5), pages 1-17, March.
    2. Susanne Wiesner & Alison J. Duff & Ankur R. Desai & Kevin Panke-Buisse, 2020. "Increasing Dairy Sustainability with Integrated Crop–Livestock Farming," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    3. Wenqing Yu & Shuo Chen & Weihao Yang & Yingqiang Song & Miao Lu, 2024. "Spatial Mapping of Soil CO 2 Flux in the Yellow River Delta Farmland of China Using Multi-Source Optical Remote Sensing Data," Agriculture, MDPI, vol. 14(9), pages 1-21, August.

    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. Wei Wang & Wenjing Zeng & Weile Chen & Hui Zeng & Jingyun Fang, 2013. "Soil Respiration and Organic Carbon Dynamics with Grassland Conversions to Woodlands in Temperate China," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-10, August.
    2. Jinshi Jian & Vanessa Bailey & Kalyn Dorheim & Alexandra G. Konings & Dalei Hao & Alexey N. Shiklomanov & Abigail Snyder & Meredith Steele & Munemasa Teramoto & Rodrigo Vargas & Ben Bond-Lamberty, 2022. "Historically inconsistent productivity and respiration fluxes in the global terrestrial carbon cycle," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Xue Chen & Haibo Hu & Qi Wang & Xia Wang & Bing Ma, 2024. "Exploring the Factors Affecting Terrestrial Soil Respiration in Global Warming Manipulation Experiments Based on Meta-Analysis," Agriculture, MDPI, vol. 14(9), pages 1-15, September.
    4. Yanan Liang & Yanpeng Cai & Junxia Yan & Hongjian Li, 2019. "Estimation of Soil Respiration by Its Driving Factors Based on Multi-Source Data in a Sub-Alpine Meadow in North China," Sustainability, MDPI, vol. 11(12), pages 1-17, June.
    5. MB Dastagiri & Anjani Sneha Vajrala, 2018. "Financing Climate Change on Global Agriculture-An Overview," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 12(5), pages 148-153, July.
    6. Ang Hu & Kyoung-Soon Jang & Andrew J. Tanentzap & Wenqian Zhao & Jay T. Lennon & Jinfu Liu & Mingjia Li & James Stegen & Mira Choi & Yahai Lu & Xiaojuan Feng & Jianjun Wang, 2024. "Thermal responses of dissolved organic matter under global change," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    7. Terence Epule Epule, 2015. "A New Compendium of Soil Respiration Data for Africa," Challenges, MDPI, vol. 6(1), pages 1-10, April.
    8. Creelman, Chance & Risk, Dave, 2011. "Network design for soil CO2 monitoring of the northern North American region," Ecological Modelling, Elsevier, vol. 222(18), pages 3421-3428.
    9. Lychuk, Taras E. & Hill, Robert L. & Izaurralde, Roberto C. & Momen, Bahram & Thomson, Allison M., 2021. "Evaluation of climate change impacts and effectiveness of adaptation options on nitrate loss, microbial respiration, and soil organic carbon in the Southeastern USA," Agricultural Systems, Elsevier, vol. 193(C).
    10. Govind, Ajit & Chen, Jing Ming & Bernier, Pierre & Margolis, Hank & Guindon, Luc & Beaudoin, Andre, 2011. "Spatially distributed modeling of the long-term carbon balance of a boreal landscape," Ecological Modelling, Elsevier, vol. 222(15), pages 2780-2795.
    11. Md. Zonayet & Alok Kumar Paul & Md. Faisal-E-Alam & Khalid Syfullah & Rui Alexandre Castanho & Daniel Meyer, 2023. "Impact of Biochar as a Soil Conditioner to Improve the Soil Properties of Saline Soil and Productivity of Tomato," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    12. S . K. Oni & F. Mieres & M. N. Futter & H. Laudon, 2017. "Soil temperature responses to climate change along a gradient of upland–riparian transect in boreal forest," Climatic Change, Springer, vol. 143(1), pages 27-41, July.
    13. Elena A. Mikhailova & Garth R. Groshans & Christopher J. Post & Mark A. Schlautman & Gregory C. Post, 2019. "Valuation of Soil Organic Carbon Stocks in the Contiguous United States Based on the Avoided Social Cost of Carbon Emissions," Resources, MDPI, vol. 8(3), pages 1-15, August.
    14. Zhenghu Zhou & Chengjie Ren & Chuankuan Wang & Manuel Delgado-Baquerizo & Yiqi Luo & Zhongkui Luo & Zhenggang Du & Biao Zhu & Yuanhe Yang & Shuo Jiao & Fazhu Zhao & Andong Cai & Gaihe Yang & Gehong We, 2024. "Global turnover of soil mineral-associated and particulate organic carbon," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    15. Zeyang Zhao & Peng Dong & Bo Fu & Dan Wu & Zhizhong Zhao, 2024. "Labile Fraction of Organic Carbon in Soils from Natural and Plantation Forests of Tropical China," Sustainability, MDPI, vol. 16(17), pages 1-12, September.
    16. Agnė Buivydienė & Irena Deveikytė & Agnė Veršulienė & Virginijus Feiza, 2024. "The Influence of Cropping Systems and Tillage Intensity on Soil CO 2 Exchange Rate," Sustainability, MDPI, vol. 16(9), pages 1-18, April.
    17. Li Gao & Mingjing Huang & Wuping Zhang & Lei Qiao & Guofang Wang & Xumeng Zhang, 2021. "Comparative Study on Spatial Digital Mapping Methods of Soil Nutrients Based on Different Geospatial Technologies," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    18. Bohn, Friedrich J. & Frank, Karin & Huth, Andreas, 2014. "Of climate and its resulting tree growth: Simulating the productivity of temperate forests," Ecological Modelling, Elsevier, vol. 278(C), pages 9-17.
    19. Raitis Normunds Meļņiks & Arta Bārdule & Aldis Butlers & Jordane Champion & Santa Kalēja & Ilona Skranda & Guna Petaja & Andis Lazdiņš, 2023. "Carbon Losses from Topsoil in Abandoned Peat Extraction Sites Due to Ground Subsidence and Erosion," Land, MDPI, vol. 12(12), pages 1-17, December.
    20. Xiangwen Wu & Shuying Zang & Dalong Ma & Jianhua Ren & Qiang Chen & Xingfeng Dong, 2019. "Emissions of CO 2 , CH 4 , and N 2 O Fluxes from Forest Soil in Permafrost Region of Daxing’an Mountains, Northeast China," IJERPH, MDPI, vol. 16(16), pages 1-14, August.

    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:eee:ecomod:v:304:y:2015:i:c:p:34-43. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.