How does canopy height regulate autumn photosynthetic phenology in the Northern Hemisphere?

Rui Tang; Bin He; Miaogen Shen; Ziqian Zhong; Hongtao Xu; Tiewei Li; Lanlan Guo; Ling Huang; Xinzi Huang

doi:10.59717/j.xinn-geo.2024.100095

The Innovation Geoscience > 2024 Vol. 2 > No. 4 > 100095

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How does canopy height regulate autumn photosynthetic phenology in the Northern Hemisphere?

1.
Faculty of Geographical Science BNU, Beijing Normal University, Beijing 100875, China
2.
Department of Space, Earth and Environment, Division of Geoscience and Remote Sensing, Chalmers University of Technology, Gothenburg SE-412 96, Sweden
3.
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
4.
Beijing No.4 High School International Campus, Beijing 100031, China

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Corresponding author: hebin@bnu.edu.cn
Received Date: May 15, 2024

Accepted Date: September 06, 2024

Published Online: September 29, 2024

The Innovation Geoscience 2(4), https://doi.org/10.59717/j.xinn-geo.2024.100095 | Cite this article

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1. We investigated the regulatory effect of forest canopy height on photosynthetic phenology in autumn.
  
  Widespread (65.2%) positive regulatory of canopy height on the end of growing season in northern forest.
  
  Canopy height regulates photosynthetic phenology in autumn mainly through radiation and water.
  
  Considering canopy height may help to improve phenological models.

ABSTRACT

ABSTRACT

Autumn photosynthetic phenology strongly regulates the length of growing season and terrestrial carbon cycle, providing feedbacks to climate change. While the climatic drivers of autumn photosynthetic phenology have received considerable attention, the regulation by forest structural features is frequently overlooked. Here, we used spaceborne LiDAR observations of canopy height, two sets of canopy height products, and satellite solar-induced chlorophyll, to characterize the role of canopy height in autumn photosynthetic phenology from 2001 to 2020. We found strong dependencies of autumn photosynthetic phenology on canopy height in 65.2% of the northern forest. Taller trees tend to end the growing season later, likely due to the enhanced acquisition of solar radiation associated with increased canopy height. Additionally, taller trees have deeper root system to maintain strong hydraulic transport capacity and higher resistance to water stress. This study highlights the importance of forest structure in regulating vegetation phenology and contributes to enhancement of phenological models and carbon cycle simulations.

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REFERENCES

[1]	Piao, S., Ciais, P., Friedlingstein, P., et al. (2008). Net carbon dioxide losses of northern ecosystems in response to autumn warming. Nature 451: 49−52. DOI: 10.1038/nature06444. View in Article CrossRef Google Scholar Scopus
[2]	Piao, S., Liu, Q., Chen, A., et al. (2019). Plant phenology and global climate change: Current progresses and challenges. Glob. Chang. Biol. 25 : 1922-1940. DOI: 10.1111/gcb.14619. View in Article Google Scholar
[3]	Li, S., Wang, Y., Ciais, P., et al. (2022). Deficiencies of phenology models in simulating spatial and temporal variations in temperate spring leaf phenology. J. Geophys. Res.: Biogeosciences 127 : e2021JG006421. DOI: 10.1029/2021JG006421. View in Article Google Scholar
[4]	Jeong, S.-J., Ho, C.-H., Gim, H.-J., et al. (2011). Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008. Glob. Chang. Biol. 17 : 2385-2399. DOI: 10.1111/j.1365-2486.2011.02397.x. View in Article Google Scholar
[5]	Liu, Q., Fu, Y.H., Zeng, Z., et al. (2016). Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China. Glob. Chang. Biol. 22: 644−655. DOI: 10.1111/gcb.13081. View in Article CrossRef Google Scholar Scopus
[6]	Wang, M., Li, P., Peng, C., et al. (2022). Divergent responses of autumn vegetation phenology to climate extremes over northern middle and high latitudes. Glob. Ecol. Biogeogr. 31 : 2281-2296. DOI: 10.1111/geb.13583. View in Article Google Scholar
[7]	Garonna, I., de Jong, R., de Wit, A.J.W., et al. (2014). Strong contribution of autumn phenology to changes in satellite-derived growing season length estimates across Europe (1982–2011). Glob. Chang. Biol. 20 : 3457-3470. DOI: 10.1111/gcb.12625. View in Article Google Scholar
[8]	Wu, C., Chen, J.M., Black, T.A., et al. (2013). Interannual variability of net ecosystem productivity in forests is explained by carbon flux phenology in autumn. Glob. Ecol. Biogeogr. 22: 994−1006. DOI: 10.1111/geb.12044. View in Article CrossRef Google Scholar Scopus
[9]	Lim, P.O., Kim, H.J., and Nam, H.G. (2007). Leaf senescence. Annu. Rev. Plant Biol. 58: 115−136. DOI: 10.1146/annurev.arplant.57.032905.105316. View in Article CrossRef Google Scholar Scopus
[10]	Wu, C., Wang, J., Ciais, P., et al. (2021). Widespread decline in winds delayed autumn foliar senescence over high latitudes. Proc. Natl. Acad. Sci. USA 118 : e2015821118. DOI: 10.1073/pnas.2015821118. View in Article Google Scholar
[11]	Zhang, Y., Commane, R., Zhou, S., et al. (2020). Light limitation regulates the response of autumn terrestrial carbon uptake to warming. Nat. Clim. Change. 10: 739−743. DOI: 10.1038/s41558-020-0806-0. View in Article CrossRef Google Scholar Scopus
[12]	Liu, Q., Piao, S., Janssens, I.A., et al. (2018). Extension of the growing season increases vegetation exposure to frost. Nat. Commun. 9: 426. DOI: 10.1038/s41467-017-02690-y. View in Article CrossRef Google Scholar Scopus
[13]	Wu, C., Peng, J., Ciais, P., et al. (2022). Increased drought effects on the phenology of autumn leaf senescence. Nat. Clim. Change. 12: 943−949. DOI: 10.1038/s41558-022-01464-9. View in Article CrossRef Google Scholar Scopus
[14]	Wang, X., Wu, C., Liu, Y., et al. (2023). Earlier leaf senescence dates are constrained by soil moisture. Glob. Change Biol. 29 : 1557-1573. DOI: 10.1111/gcb.16569. View in Article Google Scholar
[15]	Buitenwerf, R., Rose, L., and Higgins, S.I. (2015). Three decades of multi-dimensional change in global leaf phenology. Nat. Clim. Change. 5: 364−368. DOI: 10.1038/nclimate2533. View in Article CrossRef Google Scholar Scopus
[16]	Deslauriers, A. and Rossi, S. (2019). Metabolic memory in the phenological events of plants: Looking beyond climatic factors. Tree Physiol. 39: 1272−1276. DOI: 10.1093/treephys/tpz082. View in Article CrossRef Google Scholar Scopus
[17]	Potapov, P., Li, X., Hernandez-Serna, A., et al. (2021). Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sens. Environ. 253 : 112165. DOI: 10.1016/j.rse.2020.112165. View in Article Google Scholar
[18]	Kumkar, Y., Astrup, R., Stordal, F., et al. (2020). Quantifying regional surface energy responses to forest structural change in Nordic Fennoscandia. J. Geophys. Res. Atmos. 125 : e2019JD032092. DOI: 10.1029/2019JD032092. View in Article Google Scholar
[19]	Kuusinen, N., Tomppo, E., Shuai, Y., et al. (2014). Effects of forest age on albedo in boreal forests estimated from MODIS and Landsat albedo retrievals. Remote Sens. Environ. 145 : 145-153. DOI: 10.1016/j.rse.2014.02.005. View in Article Google Scholar
[20]	Xu, P., Zhou, T., Zhao, X., et al. (2018). Diverse responses of different structured forest to drought in Southwest China through remotely sensed data. Int. J. Appl. Earth Obs. Geoinf. 69 : 217-225. DOI: 10.1016/j.jag.2018.03.009. View in Article Google Scholar
[21]	Moon, M., Li, D., Liao, W., et al. (2020). Modification of surface energy balance during springtime: The relative importance of biophysical and meteorological changes. Agric. For. Meteorol. 284 : 107905. DOI: 10.1016/j.agrformet.2020.107905. View in Article Google Scholar
[22]	Lindroth, A. and Cienciala, E. (1996). Water use efficiency of short-rotation Salix viminalis at leaf, tree and stand scales. Tree Physiol. 16: 257−262. DOI: 10.1093/treephys/16.1-2.257%JTreePhysiology. View in Article CrossRef Google Scholar Scopus
[23]	Binkley, D., Campoe, O.C., Gspaltl, M., et al. (2013). Light absorption and use efficiency in forests: Why patterns differ for trees and stands. For. Ecol. Manag. 288 : 5-13. DOI: 10.1016/j.foreco.2011.11.002. View in Article Google Scholar
[24]	Zhang, Y., Joiner, J., Alemohammad, S.H., et al. (2018). A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences 15: 5779−5800. DOI: 10.5194/bg-15-5779-2018. View in Article CrossRef Google Scholar Scopus
[25]	Guanter, L., Zhang, Y., Jung, M., et al. (2014). Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proc. Natl Acad. Sci. USA 111: E1327−1333. DOI: 10.1073/pnas.1320008111. View in Article CrossRef Google Scholar Scopus
[26]	Sun, Y., Frankenberg, C., Wood, J.D., et al. (2017). OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence. Science 358: eaam5747. DOI: 10.1126/science.aam5747. View in Article CrossRef Google Scholar Scopus
[27]	Healey, S.P., Hernandez, M.W., Edwards, D.P., et al. (2015). CMS: GLAS LiDAR-derived global estimates of forest canopy height, 2004-2008. ORNL Distributed Active Archive Center. http://dx.doi.org/10.3334/ORNLDAAC/1271 View in Article Google Scholar
[28]	Lefsky, M.A., Keller, M., Pang, Y., et al. (2007). Revised method for forest canopy height estimation from Geoscience Laser Altimeter System waveforms. J. Appl. Remote Sens. 1: 013537-013518. DOI: 10.1117/1.2795724. View in Article CrossRef Google Scholar Scopus
[29]	Simard, M., Pinto, N., Fisher, J.B., et al. (2011). Mapping forest canopy height globally with spaceborne lidar. J. Geophys. Res. 116 : G04021. DOI: 10.1029/2011jg001708. View in Article Google Scholar
[30]	Martens, B., Miralles, D.G., Lievens, H., et al. (2017). GLEAM v3: Satellite-based land evaporation and root-zone soil moisture. Geosci. Model Dev. 10: 1903−1925. DOI: 10.5194/gmd-10-1903-2017. View in Article CrossRef Google Scholar Scopus
[31]	Li, Y., Zhao, M., Motesharrei, S., et al. (2015). Local cooling and warming effects of forests based on satellite observations. Nat. Commun. 6: 6603. DOI: 10.1038/ncomms7603. View in Article CrossRef Google Scholar Scopus
[32]	Fan, Y., Miguez-Macho, G., Jobbagy, E.G., et al. (2017). Hydrologic regulation of plant rooting depth. Proc. Natl. Acad. Sci. USA 114: 10572−10577. DOI: 10.1073/pnas.1712381114. View in Article CrossRef Google Scholar Scopus
[33]	Dinerstein, E., Olson, D., Joshi, A., et al. (2017). An ecoregion-based approach to protecting half the terrestrial realm. Bioscience 67: 534−545. DOI: 10.1093/biosci/bix014. View in Article CrossRef Google Scholar
[34]	Beck, H.E., Zimmermann, N.E., McVicar, T.R., et al. (2018). Present and future Köppen-Geiger climate classification maps at 1-km resolution. Sci. Data 5: 180214. DOI: 10.1038/sdata.2018.214. View in Article CrossRef Google Scholar
[35]	Poyatos, R., Granda, V., Molowny-Horas, R., et al. (2016). SAPFLUXNET: Towards a global database of sap flow measurements. Tree Physiol. 36: 1449−1455. DOI: 10.1093/treephys/tpw110. View in Article CrossRef Google Scholar Scopus
[36]	Shen, M., Tang, Y., Chen, J., et al. (2011). Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau. Agric. For. Meteorol. 151: 1711−1722. DOI: 10.1016/j.agrformet.2011.07.003. View in Article CrossRef Google Scholar Scopus
[37]	Meng, F., Felton, A.J., Mao, J., et al. (2024). Consistent time allocation fraction to vegetation green-up versus senescence across northern ecosystems despite recent climate change. Sci. Adv. 10 : eadn2487. DOI:10.1126/sciadv.adn2487. View in Article Google Scholar
[38]	Allen, R.G., Pereira, L.S., Raes, D., et al. (1998). Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56. View in Article Google Scholar
[39]	Liu, Q., Fu, Y.H., Zhu, Z., et al. (2016). Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology. Glob. Chang. Biol. 22: 3702−3711. DOI: 10.1111/gcb.13311. View in Article CrossRef Google Scholar Scopus
[40]	Kempes, C.P., West, G.B., Crowell, K., and Girvan, M. (2011). Predicting maximum tree heights and other traits from allometric scaling and resource limitations. PLoS One 6: e20551. DOI: 10.1371/journal.pone.0020551. View in Article CrossRef Google Scholar Scopus
[41]	Halim, M.A., Chen, H.Y.H., and Thomas, S.C. (2019). Stand age and species composition effects on surface albedo in a mixedwood boreal forest. Biogeosciences 16: 4357−4375. DOI: 10.5194/bg-16-4357-2019. View in Article CrossRef Google Scholar Scopus
[42]	Schenk, H.J. and Jackson, R.B. (2002). Rooting depths, lateral root spreads and below-ground/above-ground allometries of plants in water-limited ecosystems. J. Ecol. 90 : 480-494. DOI: 10.1046/j.1365-2745.2002.00682.x. View in Article Google Scholar
[43]	Chunxia, H., Jiyue, L., Ming, G., et al. (2008). Changes in leaf photosynthetic characteristics and water use efficiency along with tree height of 4 tree species. Acta Ecol. Sin. 28 : 3008-3016. DOI: 10.1016/S1872-2032(08)60064-5. View in Article Google Scholar
[44]	Zhu, Z., Piao, S., Myneni, R.B., et al. (2016). Greening of the Earth and its drivers. Nat. Clim. Change. 6: 791−795. DOI: 10.1038/nclimate3004. View in Article CrossRef Google Scholar Scopus
[45]	Richardson, A.D., Keenan, T.F., Migliavacca, M., et al. (2013). Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agric. For. Meteorol. 169: 156−173. DOI: 10.1016/j.agrformet.2012.09.012. View in Article CrossRef Google Scholar Scopus
[46]	Zhu, W., Tian, H., Xu, X., et al. (2012). Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982–2006. Glob. Ecol. Biogeogr. 21 : 260-271. DOI: 10.1111/j.1466-8238.2011.00675.x. View in Article Google Scholar
[47]	Martínez-Vilalta, J. and Garcia-Forner, N. (2017). Water potential regulation, stomatal behaviour and hydraulic transport under drought: deconstructing the iso/anisohydric concept. Plant Cell Environ. 40 : 962-976. DOI: 10.1111/pce.12846. View in Article Google Scholar
[48]	Rowland, L., da Costa, A.C.L., Galbraith, D.R., et al. (2015). Death from drought in tropical forests is triggered by hydraulics not carbon starvation. Nature 528: 119−122. DOI: 10.1038/nature15539. View in Article CrossRef Google Scholar Scopus
[49]	Rijkers, T., Pons, T.L., and Bongers, F. (2000). The effect of tree height and light availability on photosynthetic leaf traits of four neotropical species differing in shade tolerance. Funct. Ecol. 14 : 77-86. DOI: 10.1046/j.1365-2435.2000.00395.x. View in Article Google Scholar
[50]	Yang, B., Lee, D.K., Heo, H.K., et al. (2019). The effects of tree characteristics on rainfall interception in urban areas. Landsc. Ecol. Eng. 15: 289−296. DOI: 10.1007/s11355-019-00383-w. View in Article CrossRef Google Scholar Scopus
[51]	Bonan, G. (2015). Ecological climatology: concepts and applications, 3 Edition (Cambridge University Press). DOI: 10.1017/CBO9781107339200. https://www.cambridge.org/core/books/ecological-climatology/D146443B007985BC366B2512345692C0. View in Article Google Scholar
[52]	Curtis, P.G., Slay, C.M., Harris, N.L., et al. (2018). Classifying drivers of global forest loss. Science 361: 1108−1111. DOI: 10.1126/science.aau3445. View in Article CrossRef Google Scholar Scopus

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Tang R., He B., Shen M., et al., (2024). How does canopy height regulate autumn photosynthetic phenology in the Northern Hemisphere? The Innovation Geoscience 2(4): 100095. https://doi.org/10.59717/j.xinn-geo.2024.100095

Tang R., He B., Shen M., et al., (2024). How does canopy height regulate autumn photosynthetic phenology in the Northern Hemisphere? The Innovation Geoscience 2(4): 100095. https://doi.org/10.59717/j.xinn-geo.2024.100095

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How does canopy height regulate autumn photosynthetic phenology in the Northern Hemisphere?

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