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Temperature Vegetation Dryness Index Estimation of Soil Moisture under Different Tree Species

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  • Shulin Chen

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210000, China
    International Institute for Earth System Science, Nanjing University, Nanjing 210000, China)

  • Zuomin Wen

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210000, China)

  • Hong Jiang

    (International Institute for Earth System Science, Nanjing University, Nanjing 210000, China)

  • Qingjian Zhao

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210000, China)

  • Xiuying Zhang

    (International Institute for Earth System Science, Nanjing University, Nanjing 210000, China)

  • Yan Chen

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210000, China)

Abstract

The Laoshan forest is the largest forest in Nanjing, and it plays an important role in water resource management in Nanjing. The objectives of this study are to determine if the temperature vegetation dryness index (TVDI) is suitable to estimate the soil moisture and if soil moisture is significantly affected by tree species in the Laoshan forest. This paper calculated the spatial distribution of TVDI using LANDSAT-5 TM data. Sixty-two observation points of in situ soil moisture measurements were selected to validate the effectiveness of the TVDI as an index for assessing soil moisture in the Laoshan forest. With the aid of the three different temporal patterns, which are 10 January 2011, 18 May 2011 and 23 September 2011, this paper used the TVDI to investigate the differences of soil moisture under four kinds of mono-species forests and two kinds of mixed forests. The results showed that there is a strong and significant negative correlation between the TVDI and the in situ measured soil moisture ( R 2 = 0.15–0.8, SE = 0.015–0.041 cm 3 /cm 3 ). This means that the TVDI can reflect the soil moisture status under different tree species in the Laoshan forest. The soil moisture under these six types of land cover from low to high is listed in the following order: Eucommia ulmoides , Quercus acutissima , broadleaf mixed forest, Cunninghamia lanceolata , coniferous and broadleaf mixed forest and Pinus massoniana .

Suggested Citation

  • Shulin Chen & Zuomin Wen & Hong Jiang & Qingjian Zhao & Xiuying Zhang & Yan Chen, 2015. "Temperature Vegetation Dryness Index Estimation of Soil Moisture under Different Tree Species," Sustainability, MDPI, vol. 7(9), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:9:p:11401-11417:d:54707
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    Citations

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    Cited by:

    1. Ji, Zhonglin & Pan, Yaozhong & Li, Nan, 2021. "Integrating the temperature vegetation dryness index and meteorology parameters to dynamically predict crop yield with fixed date intervals using an integral regression model," Ecological Modelling, Elsevier, vol. 455(C).
    2. Jamal Jokar Arsanjani & Eric Vaz, 2017. "Special Issue Editorial: Earth Observation and Geoinformation Technologies for Sustainable Development," Sustainability, MDPI, vol. 9(5), pages 1-5, May.
    3. Guido Masiello & Francesco Ripullone & Italia De Feis & Angelo Rita & Luigi Saulino & Pamela Pasquariello & Angela Cersosimo & Sara Venafra & Carmine Serio, 2022. "The IASI Water Deficit Index to Monitor Vegetation Stress and Early Drying in Summer Heatwaves: An Application to Southern Italy," Land, MDPI, vol. 11(8), pages 1-18, August.
    4. Guirong Hou & Huaxing Bi & Xi Wei & Lingxiao Kong & Ning Wang & Qiaozhi Zhou, 2018. "Response of Soil Moisture to Single-Rainfall Events under Three Vegetation Types in the Gully Region of the Loess Plateau," Sustainability, MDPI, vol. 10(10), pages 1-17, October.

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