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Monitoring of phenology and irrigation responses of plantation forests based on vegetation remote sensing

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Abstract

Background and Aims

The study of environmental factors affecting forest phenology has attracted attention, and we have proposed that moisture and precipitation in the rainy season have an influence on the growth of Populus tomentosa.

Methods

Near-earth remote sensing devices were applied to monitor the canopy phenology of planted Populus tomentosa B301 cultivated under full drip irrigation (DIFI), controlled drip irrigation (DICI), and non-irrigation (CK). The relative green vegetation index was calculated and the TIMESAT3.3 procedure was used to fit the time series curve of the phenological index of Populus tomentosa B301 and the key period of phenological growth was extracted.

Results

The data on the relative green vegetation index and the forest growth change rate are different. The tree species under controlled drip irrigation reached their growth peak on Day 111, 1 d after those with full drip irrigation and non-irrigation. 2) The tree species in the CK area withered and fell on Day 307, those in the DIFI region began to wither and decline on Day 315, and those in the DICI area began to wilt and decline on Day 291. The CK, DIFI, and DICI growing seasons were 222, 230, and 206 d, respectively. 3) Forests have different responses to different irrigation conditions. The use of different irrigation conditions changes the growth and development of the forests, resulting in significant phenological effects.

Conclusion

Appropriate irrigation techniques can improve water resource use efficiency, water environmental factors, and irrigation methods, all of which affect forest growth.

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Data availability

All data will be available on request.

References

  • Bhunia R, Verma IM, Sahu MP et al (2015) Effect of drip irrigation and bioregulators on yield, economics and water use of fenugreek (Trigonella foenum-graecum). J Spices Aromat Crops 24(2):102–105

    Google Scholar 

  • Brum M, Oliveira R, Lopez J et al (2021) Effects of irrigation on oil palm transpiration during ENSO-induced drought in the Brazilian Eastern Amazon. Agric Water Manag 245:106569

    Article  Google Scholar 

  • Chao Z, Che M, Hou S (2021) Brief review of vegetation phenological information extraction software based on time series remote sensing data. Remote Sens Nat Resour 33(04):19–25

    Google Scholar 

  • Cheng Y, Zhan H, Yang W et al (2021) An ecohydrological perspective of reconstructed vegetation in the semi-arid region in drought seasons. Agric Water Manag 243:106488

    Article  Google Scholar 

  • Christensen JH, Hewitson B, Busuioc A et al (2007) Regional. Cimate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press

    Google Scholar 

  • Crall A, Kosmala M, Cheng R et al (2017) Volunteer recruitment and retention in online citizen science projects using marketing strategies: lessons from Season Spotter. J Sci Commun 16(1):A01-1

    Article  Google Scholar 

  • Dang H, Han H, Chen S et al (2021) A fragile soil moisture environment exacerbates the climate change-related impacts on the water use by Mongolian Scots pine (Pinus sylvestris var. mongolica) in northern China: Long-term observations. Agric Water Manag 251:106857

    Article  Google Scholar 

  • Eklundh L, Jönsson P (2017) TIMESAT 3.3 with seasonal trend decomposition and parallel processing-Software Manual. Lund University, p 92

    Google Scholar 

  • Fu YH, Piao S, Vitasse Y et al (2015) Increased heat requirement for leaf flushing in temperate woody species over 1980–2012: Effects of chilling, precipitation and insolation. Glob Change Biol 21:2687–2697

    Article  Google Scholar 

  • Fu Y, Li X, Zhou X et al (2020) Progress in plant phenology modeling under global climate change. Sci China Earth Sci 50(9):1237–1247

    Article  Google Scholar 

  • Galindo A, Collado-González J, Griñán I et al (2018) Deficit irrigation and emerging fruit crops as a strategy to save water in Mediterranean semiarid agrosystems. Agric Water Manag 202(none):311–324

    Article  Google Scholar 

  • Guan P, Zheng Y, Lei G et al (2021) Analysis of canopy phenology in man-made forests using near-earth remote sensing. Plant Methods 17(1):1–15

    Article  Google Scholar 

  • Guan P, Zheng Y, Lei G (2022) Near-earth remote sensing images used to determine the phenological characteristics of the canopy of Populus tomentosa B301 under three methods of irrigation. Remote Sens 14(12):2844. https://doi.org/10.3390/rs14122844

    Article  Google Scholar 

  • Han Y, Meng J, Xu J (2017) Soybean growth assessment method based on NDVI and phenological calibration. Trans Chin Soc Agric Eng (Transactions of the CSAE) 33(2):177–182

    Google Scholar 

  • Jia L, Xing C, Wei Y et al (2004) The growth and photosynthesis of poplar trees in fast-growing and high-yield plantations with subterranean drip irrigation. Scientia Silvae Sinicae 40(2):61–67

    Google Scholar 

  • Jönsson P, Eklundh L (2004) TIMESAT—a program for analyzing time-series of satellite sensor data. Comput Geosci 30(8):833–845

    Article  Google Scholar 

  • Jovanovic Z, Stikic R (2018) Partial root-zone drying technique: from water saving to the improvement of a fruit quality. Front Sustain Food Syst 1:3

    Article  Google Scholar 

  • Klosterman S, Hufkens K, Gray J et al (2014) Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery. Biogeosciences 11(16):4305–4320

    Article  Google Scholar 

  • Koide D, Ide R, Oguma H (2019) Detection of autumn leaf phenology and color brightness from repeat photography: Accurate, robust, and sensitive indexes and modeling under unstable field observations. Ecol Indic: Integr Monit Assess Manag 106:105482.1-105482.11

    Article  Google Scholar 

  • Li J, Li Y, Wang J et al (2016) Microirrigation in China: history, current situation and prospects. J Hydraul Eng 47(3):372–381

    Google Scholar 

  • Li D, Xi B, Tang L et al (2018a) Patterns of soil water movement in drip-irrigated young Populus tomentosa plantations on sandy loam soil and their simulation. Scientia Silvae Sinicae. 54(12):157–168

    Google Scholar 

  • Li D-D, Xi B-Y, Wang F et al (2018b) Patterns of variations in leaf turgor pressure and responses to environmental factors in Populus tomentosa. Chin J Plant Ecol 42(7):741–751. https://doi.org/10.17521/cjpe.2018.0097

    Article  Google Scholar 

  • Li G, Zhang Y, Fu H et al (2021) Characteristics of crown architecture of young triploid Populus tomentosa B301 clones. J Northwest For Univ 36(3):94–101

    Google Scholar 

  • Lim CH, An JH, Jung SH et al (2018) Ecological consideration for several methodologies to diagnose vegetation phenology (SPECIAL FEATURE : Climate Change and Biodiversity Conservation in East Asia as a token of memory for the 7th EAFES in Daegu, Korea). Ecol Res 33(2):363–377

    Article  Google Scholar 

  • Liu Q, Fu YH, Zeng Z et al (2016) Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China. Glob Change Biol 22:644–655

    Article  CAS  Google Scholar 

  • Liu F, Wang CK, Wang XC (2018) Application of near-surface remote sensing in monitoring the dynamics of forest canopy phenology. Chin J Appl Ecol 29(6):1768–1778

    Google Scholar 

  • Liu Y, Wu CY, Sonnentag O et al (2020) Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis. Agric Forest Meteorol 285–286:107910

    Article  Google Scholar 

  • Marron N, Gielen B, Brignolas F et al (2014) Abiotic stresses. In: Isebrands JG, Richardson J (eds) Poplars and willows: trees for society and the environment. CABI, Boston, pp 338–405

    Google Scholar 

  • Melaas EK, Friedl MA, Richardson AD (2016) Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States. Glob Chang Biol 22(2):792–805

    Article  PubMed  Google Scholar 

  • Nadezhda N, Jorge S, Clara A et al (2020) Root sap flow as a tool to establish hydrological thresholds for plant growth and survival. Agric Water Manag 241:106388

    Article  Google Scholar 

  • Nadezhdina N (2000) Specificity of sap flow index for mist irrigation control. Acta Hortic 537:479–486

    Article  Google Scholar 

  • Neuman DS, Wagner M, Braatne JH et al (1996) Stress physiology–abiotic. In: Stettler RF, Bradshaw HD, Heilman PE, Hinckley TM (eds) Biology of Populus and Its Implications for Management and Conservation. National Research Council of Canada Research Press, Ottawa, Canada, pp 423–458

    Google Scholar 

  • Prevéy JS, Seastedt TR (2015) Seasonality of precipitation interacts with exotic species to alter composition and phenology of a semiarid grassland. JJ Ecol 102:1549–1561

    Article  Google Scholar 

  • Reich PB (1995) Phenology of tropical forests: Patterns, causes, and consequences. Can J Bot 73:164–174

    Article  Google Scholar 

  • Richardson AD, Jenkins JP, Braswell BH et al (2007) Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia 152(2):323–334

    Article  PubMed  Google Scholar 

  • Roberts J (2007) The role of plant physiology in hydrology: looking backwards and forwards. Hydrol Earth Syst Sci Discuss 11(1):256–269

    Article  Google Scholar 

  • Sonnentag O, Hufkens K, Teshera-Sterne C et al (2012) Digital repeat photography for phenological research in forest ecosystems. Agric For Meteorol 152:159–177

    Article  Google Scholar 

  • Wang L, Chen H, Li Q et al (2010) Research advances in plant phenology and clin ate. Acta Ecol Sin 30(2):447–454

    Google Scholar 

  • Wang YH, Li SE, Qin SJ et al (2020) How can drip irrigation save water and reduce evapotranspiration compared to border irrigation in arid regions in northwest China. Agric Water Manag 239:106256

    Article  Google Scholar 

  • Xi BY, Bloomberg M, Watt MS et al (2016) Modeling growth response to soil water availability simulated by HYDRUS for a mature triploid Populus tomentosa plantation located on the North China Plain. Agric Water Manag 176:243–254. https://doi.org/10.1016/j.agwat.2016.06.017

    Article  Google Scholar 

  • Xi BY, Clothier B, Coleman M et al (2021) Irrigation management in poplar (Populus spp.) plantations: A review. For Ecol Manag 494(6):119330. https://doi.org/10.1016/j.foreco.2021.119330

    Article  Google Scholar 

  • Xie B, Qin Z, Wang Y et al (2015) Monitoring vegetation phenology and their response to climate change on Chinese Loess Plateau based on remote sensing. Trans Chin Soc Agric Eng (Transactions of the CSAE) 31(15):153–160

    Google Scholar 

  • Yang X, Tang J, Mustard JF (2014) Beyond leaf color: Comparing camera-based phenological metrics with leaf biochemical, biophysical, and spectral properties throughout the growing season of a temperate deciduous forest. J Geophys Res Biogeosci 119(3):181–191

    Article  Google Scholar 

  • Zhang F, Wu B, Liu C et al (2004) Methods of monitoring crop phonological stages using time series of vegetation indicator. Trans Chin Soc Agric Eng (Transactions of the CSAE) 20(1):155–159

    Google Scholar 

  • Zhang G, Wang R, Zhao G et al (2018) Extraction of vegetation information in coastal ecological vulnerable areas from remote sensing data based on phenology parameters and object-oriented method. Trans Chin Soc Agric Eng (Transactions of the CSAE) 34(4):209–216

    CAS  Google Scholar 

  • Zhao S, Xing H, Yang Q (2019) Effect of regulated deficit irrigation in the vegetative growth stage on the growth of Panax notoginseng and the microenvironment of its root zone. J Hunan Agric Univ (Natural Sciences) 45(1):92–96

    Google Scholar 

  • Zhou Z (2018) Comparative study of vegetation phenology extraction methods based on digital images. Prog Geogr 37(8):1031–1044

    Google Scholar 

  • Zhou L, He H, Sun X et al (2012a) Using digital repeat photography to model winter wheat phenology and photosynthetic CO2 uptake. J Ecol 32(16):5146–5153

    Google Scholar 

  • Zhou L, He H, Zhang L et al (2012b) Simulations of phenology in alpine grassland communities in Damxung, Xizang, based on digital camera images. Chin J Plant Ecol 36(11):1125–1135

    Article  Google Scholar 

  • Zhou H, Fu D, Zhang L et al (2016) Modeling grassland phenology and analyzing relationship with corresponding meteorological factors based on digital camera. Remote Sens Technol Appl 31(5):966–974

    Google Scholar 

  • Zhu Z, Lin H, Kang X (1995) Studies on allotriploid breeding of Populus tomentosa B301 clones. Scientia Silvae Sinicae 31(6):499–505

    Google Scholar 

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Acknowledgements

Thanks to the experimental base and relevant technical support provided by Professor Benye Xi is team of the School of Forestry of Beijing Forestry University.

Funding

This work is supported by the Research Project of the Jiangxi Provincial Department of Forestry (〔2022〕38) and The National Key Research and Development Program of China (2021YFD220120301).

Author information

Authors and Affiliations

  1. School of Technology, Beijing Forestry University, Beijing, 100083, China

    Peng Guan, Lichen Zhu, Guannan Lei & Yili Zheng

  2. Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation, Beijing, 100083, China

    Peng Guan, Lichen Zhu, Guannan Lei & Yili Zheng

  3. State Key Laboratory of Efficient Production of Forest, Beijing, 100083, China

    Peng Guan & Yili Zheng

  4. Institute of Intelligent Sensing for Ecological Carbon Neutrality in Forestry and Grassland, Beijing Forestry University, Beijing, 100083, China

    Peng Guan & Yili Zheng

  5. China Forestry Group Corporation, 17 Fuxing Road, Haidian District, Beijing, 100036, People’s Republic of China

    yinchen Gong

  6. Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, 100083, China

    Benye Xi

Authors
  1. Peng Guan
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  2. yinchen Gong
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  5. Benye Xi
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  6. Yili Zheng
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Contributions

Conceptualization, P.G.; methodology, P.G. and L.Z.; formal analysis, P.G.; investigation, P.G., G.L; writing—original draft preparation, P.G.; writing—review and editing, P.G., Y.Z., and G.L.; supervision, Y.Z.; B.X and G.Y. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Yili Zheng.

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Guan, P., Gong, y., Zhu, L. et al. Monitoring of phenology and irrigation responses of plantation forests based on vegetation remote sensing. Plant Soil 497, 377–396 (2024). https://doi.org/10.1007/s11104-023-06400-0

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