Investigating the Relationship Between Changes in Leaf Area Index and Soil Moisture Using Remote Sensing and Field Studies: A Case Study of the Beheshtabad Watershed

Document Type : Research Article

Authors

1 ,Lorestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Khorramabad, Iran

2 Faculty of Natural Resources and Earth Sciences, Shahrekord University, Shahrekord, Irand

3 Department of Nature engineering, Faculty of Natural Resources and Earth sciences, University of Kashan

Abstract

This study examines the relationship between Leaf Area Index and soil moisture in the Beheshtabad watershed through field sampling, MODIS imagery, and black-box modeling based on various factors. For this purpose, climate data such as rainfall, evaporation, transpiration, number of rainy days, and temperature were collected from 2003 to 2015 in this watershed. Additionally, to determine the physical characteristics of the area and prepare maps of soil moisture, data on soil texture, land use, topography, geology, Digital Elevation Model, and drainage network were gathered. During the field visits in 2016 and 2017, data on soil moisture, Leaf Area Index, and vegetation characteristics were collected for the land use in the area. The findings indicate that vegetation cover requires time to respond to changes in soil moisture, with a developmental delay of approximately four months observed in the study area (coefficient of determination = 0.69). Land use, slope, and soil texture separation factors have differing impacts on the relationship between Leaf Area Index and soil moisture, which is nonlinear. This study highlights the importance of understanding the reciprocal effects between environmental factors and vegetation cover for water and soil resource management.

Keywords

Main Subjects


[1] Jia Q, Wang YP. Relationships between Leaf Area Index and Evapotranspiration and Crop Coefficient of
Hilly Apple Orchard in the Loess Plateau. Water. 2021; 13: 1957.
[2] Huete A, Didan K, Shimabukuro Y, Ratana P, Saleska S, Hutyra L, Yang W, Nemani R, Myneni R. Amazon
rainforests green-up with sunlight in the dry season. Geophysical Research Letters. 2006; 33 (6): 4.
[3] Wright I, Nobre CA, Tomasella J, Da Rocha HR, Roberts J, Vertamatti E, Culf A, Alvala R., Hodnett M,
Ubarana V. Towards a GCM surface parameterization for Amazonia, In: Gash, J., Nobre, C., Roberts, J.,
Victoria, R. (Eds.), Amazon Deforestation and Climate. J. Wiley & Sons, Chichester, UK. 1996; 473–504.
[4] Costa MH, Foley J. Combined effects of deforestation and doubled atmospheric CO 2 on the climate of
Amazonia. Journal of Climate. 2000; 13: 18–34.
[5] Nobre CA, Silva Dias MAF, Culf A, Polcher J, Gash JH, Marengo J, Avissar R. The Amazonian climate. In:
Kabat, P., et al. (Eds.), Vegetation, Water, Humans and the Climate. Springer Verlag, New York. 2004; 79–
92.
[6] Li Y, Li Z, Wu H, Zhou C, Liu X, Leng P, Yang P, Wu W, Tang R, Shang G. Ma L. Biophysical impacts of
earth greening can substantially mitigate regional land surface temperature warming. Nature Communications.
2023; 14: 121.
[7] Shahmordadi S, Ghafarian Malmiri H. Amini M. Extraction of soil moisture index (TVDI) using a scatter
diagram temperature / vegetation and MODIS images. RS & GIS for Natural Resources. 2021; 12 (1): 38-62.
[In Persian]
[8] Chen B, Wu Z, Wang J, Dong J, Guan L, Chen J, Yang K, Xie G. Spatio- temporal prediction of leaf area
index of rubber plantation using HJ-1A/1B CCD images and recurrent neural network. ISPRS Journal of
Photogrammetry and Remote Sensing. 2015; 102: 148– 160.
[9] Naithani KJ, Baldwin DC, Gaines K P, Lin H, Eissenstat DM. Spatial distribution of tree species governs the
spatio- temporal interaction of leaf area index and soil moisture across a forested landscape. Vegetative
Controls on Hydrology. 2013; 8 (3): 12.
[10] Gigante V, Iacobellis V, Manfreda S, Milella P, Portoghese I. Influences of leaf area index estimations on
water balance modeling in a mediterranean semi-arid basin. Natural Hazards and Earth System Science. 2009;
9 (3): 979-991.
[11] Nearing GS, Crow WT, Thorp KR, Moran MS, Reichle R.H, Gupta HV. Assimilating remote sensing
observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation
Experiment. Water Resources Research. 2012; 48: 13 pp.
[12] Yan H, Wang SQ, Billesbach D, Oechel W, Zhang J H, Meyers T, Martin TA, Matamala R, Baldocchi D,
Bohrer G, Dragoni D, Scott R. Global estimation of evapotranspiration using a leaf area index-based surface
energy and water balance model. Remote Sensing of Environment. 2012; 124: 581–595.
[13] Arx G v, Pannatier E G, Thimonier A, Rebetez M. Microclimate in forests with varying leaf area index and
soil moisture: Potential Implications for Seedling Establishment in a Changing Climate. Journal of Ecology.
2013: 1201–1213.
[14] Chen M, Willgoose G R, Saco P M. Investigating the impact of leaf area index temporal variability on soil
moisture predictions using remote sensing vegetation data. Journal of Hydrology. 2015; 522: 274–284.
[15] Li S, Sawada Y. Soil moisture-vegetation interaction from near-global in-situ soil moisture measurements.
Environmental Research Letters. 2022; 17: 114028
[16] MODIS Web.https://modis.gsfc.nasa.gov/data/dataprod/mod15.php (accessed on 21 November 2017).
[17] Davoodi E, Ghasemieh H, Abdollahi Kh, Batelaan O. Evaluation of temporal-spatial variations of soil
moisture balance by Thorenthwaite Matter method (Case study: Behesht Abad basin). RS & GIS for Natural
Resources. 2018; 9 (1): 74-92. [In Persian]
[18] Liu L, Zhang R, Zuo Z. The Relationship between Soil Moisture and LAI in Different Types of Soil in
Central Eastern China. Journal of Hydrometeorology. 2016; 17 (11): 2733–2742
[19] Wang J, Bao Z, Wang G, Liu C, Xie M, Wang B, Zhang J. The Time Lag Effects and Interaction among
Climate, Soil Moisture, and Vegetation from In Situ Monitoring Measurements across China. Remote Sensing.
2024; 16: 2063.
[20] Li W, Wang Y, Yang J, Deng Y. Time-Lag Effect of Vegetation Response to Volumetric Soil Water
Content: A Case Study of Guangdong Province, Southern China. Remote Sensing. 2022; 14: 1301.
[21] Na L, Na R, Bao Y, Zhang J. Time-Lagged Correlation between Soil Moisture and Intra-Annual Dynamics
of Vegetation on the Mongolian Plateau. Remote Sensing. 2021; 13(8):1527.
[22] Mohammadi Motlagh R. GIS applied training. Barg sabz Publications. Third edition. 2016. 464 pages. [In
Persian]
Volume 11, Issue 2
June 2024
Pages 207-222
  • Receive Date: 06 April 2024
  • Revise Date: 11 May 2024
  • Accept Date: 12 June 2024
  • First Publish Date: 21 June 2024
  • Publish Date: 21 June 2024