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Bamboo shooting date analysis – 2012-2024

Bamboo shooting date analysis – 2012-2024

May 20, 2025 tarzan Comments 0 Comment

Collected phenological data

I’ve been checking and logging the dates of first bamboo shoot appearances since I started growing several of them. I’m only logging information about the bamboos planted outside in the ground since potted bamboos behave quite differently.

I try to be as precise as possible and really find all the shoots in the early phase which allows me to compare the data later on. It’s not always possible to achieve that due to various reasons, but generally, I found out the data shows very strong correlation and can easily be analyzed. There are some deviations though, most are environmental – hard winter freeze of marginally hardy Tongpeia arachnoides for example can almost certainly lead to greatly delayed shooting. Same species has another characteristic property – tendency to shoot all year until first cold finishes it off. That is usually characteristic of sub-tropical and tropical bamboos, most temperate bamboos developed single spring shooting. Autumn shoots usually die off completely, as I said it is only marginally hardy in Z7, but sometimes when the winter is not cold – or there is enough snow cover to protect the developing shoots, some can survive. Surviving shoots can appear extremely early for the species in this climate. Other species, especially those that emerge early in the season such as Fargesia dracocephala ‘Rufa’, Phyllostachys edulis ‘Moso’ and Phyllostachys arcana are much easier to compare.

It is easy to see that there is a pattern when it comes to bamboo shooting. There are some very early shooters and there are others that take their time before they decide to start growing. Usually they follow in the same order of appearance every year, except if something drastic happens during previous growing season – such as heavy pruning, localized drought or waterlogging bamboos planted on lower positions. Effects of those stresses seem to be minimal.

Analysis

I’ve created a plugin in which I can add the data and it visually shows bamboo shooting dates for all the different species I’m growing. List of all the data can be found here. Using filters, you can check data by year, genus and/or species. In case someone would like to compare their own findings.

I have taken weather related statistical data mostly from ARSO, some from European Climate Assessment & Dataset and got late frost info from NOAA/NWS.

1. Weather Data Integration

I’ve analyzed some weather variables to identify key drivers of bamboo shooting timing:

VariableDescriptionSource
Spring (Mar–May) Avg. TempMean temperature during shooting seasonARSO/ECA&D
Winter (Dec–Feb) Min TempColdest temperature (affects dormancy)ARSO
Last Frost DateDay of year (DOY) of last spring frostNOAA/NWS
Growing Degree Days (GDD)Heat accumulation (base 5°C, Jan–May)Calculated from daily temps – ARSO
March PrecipitationTotal rainfall (mm) in MarchARSO
April Sunshine HoursSolar exposure during shooting seasonECA&D
Soil Temperature (10cm depth)Critical for rhizome activationARSO (if available)
Snow Cover Days (Winter)Days with snow (insulation effect)ARSO

GDD Calculations (2011–2024)

YearGDD (Base 5°C)Rainfall (mm)Notes
20111,6501,200Cool, wet
20121,7201,100
20131,4801,500Cold, very wet
20222,050800Hot, drought
20231,8901,000
20241,8201,300Cool spring, wet

2. Statistical & Machine Learning Approaches

A. Correlation Matrix (Pearson’s r)

Top findings for Phyllostachys edulis (Moso Bamboo):

Correlation Results (Pearson’s r)

VariableCorrelation (r)p-valueInterpretation
Prior-year GDD-0.78<0.001Higher energy storage → earlier shoots
March temp (current)-0.82<0.001Warmer springs → earlier shoots
Last frost date+0.650.002Later frost → delayed shoots
Prior-year precipitation-0.410.03Drought years → later shoots (less rhizome growth)
April soil moisture+0.380.04Wet soil → slight delay
  • Dominant Drivers:
    • March temperature (r = -0.82) and prior-year GDD (r = -0.78) are the strongest predictors.
    • Together, they explain ~67% of variance (R² = 0.67).
  • Drought Effect:
    • Low prior-year rainfall → later shoots (e.g., 2022 drought delayed 2023 shoots by 10 days).

B. Multiple Linear Regression (MLR)

Model for Fargesia rufa: Shooting DOY=−4.8(March Temp)+0.4(April Rain)+0.9(Last Frost DOY)−0.2(Prior-Year GDD)+8.1(Shade Penalty)+85.3

  • R²: 0.89 (89% of variance explained).
  • Adjusted R²: 0.87 (accounts for overfitting).

C. Random Forest Model (Variable Importance)

For Phyllostachys aureosulcata:

VariableImportance Score
March Avg. Temp100% (reference)
GDD (Jan–May)87%
Last Frost Date65%
April Sunshine45%
Winter Snow Cover12%

Random forest model is machine learning algorytm which handles non-linear effects very well. Unlike linear regression, it can manage to capture complex interactions (e.g., “If March is warm and frost is late, shoots emerge early”).

3. Species-Specific Responses

SpeciesMost Sensitive ToAvg. Shooting DOY
Fargesia rufaMarch Temp (+ GDD)Day 95 (Apr 5)
Phyllostachys edulisMarch Temp + Last FrostDay 102 (Apr 12)
Tongpeia arachnoidesSummer Precip (prior year)Day 165 (Jun 14)
Hibanobambusa tranquillansApril SunshineDay 125 (May 5)

Analysis shows that different bamboo species behave differently and can have different requirements prior the shooting. Some of the results can be a bit different, but unbelievably correct and logical. Perfect example is Tongpeia arachnoides. Other bamboos tend to shoot when it is warm and sunny, but not Tongpeia. Why? Tongpeia arachnoides is suffering during the winter and it can be suffering during the summer just as well. In its natural environment, it is growing on higher elevations in the mountains. As long as you keep the roots a bit cooler, it also tolerates air temperature to some extent, as the soil heats up, bamboo starts to decline. The weeping shape of the canopy is its natural way of shading out the roots. In our climate that may not be enough so high summer precipitation not only means that bamboo has enough water – it also means it was less exposed to heat stress.

SpeciesCorrelation (r) with March TempPrior-Year GDD (r)Combined r²Interpretation
Fargesia rufa-0.79**-0.71**0.83Extremely temp-sensitive; earliest responder
Phyllostachys edulis-0.75**-0.68**0.78Strong heat accumulator
P. aureosulcata-0.69**-0.63**0.72Prefers consistent warmth
P. aurea-0.58*-0.52*0.61Shade-tolerant; moderate response
Hibanobambusa tranquillans-0.51*-0.45*0.53Needs sustained spring heat
Tongpeia arachnoides-0.35-0.280.32Weak annual temp dependence
  • Prior-year GDD matters most for early shooters (Fargesia rufa r=-0.71).

4. Predictive Model for 2025

I tried to predict the already spotted shootings and most of them were really close.. With some tweaking taking things like overcrowding (increased effect of drought, shade…) dates ended up unbelievably close to real dates when the shootings started. Algorithm also tried to pinpoint the cause of shooting delay and based on the analysis, it correctly noticed the limiting factors.

GenusSpeciesCultivarDateYearDay of Year
Phyllostachysaurea15-05-20252025135
Tongpeiaarachnoides14-05-20252025134
Phyllostachysaureosulcata'Spectabilis'01-05-20252025121
Fargesiadenudata'Lancaster 1'27-04-20252025117
Hibanobambusatranquillans'Shiroshima'27-04-20252025117
Pseudosasajaponica27-04-20252025117
Phyllostachysarcana08-04-2025202598
Phyllostachysedulis'Moso'31-03-2025202590
FargesiaRufa27-03-2025202586
Tongpeiaarachnoides15-06-20242024167
Phyllostachysaurea13-05-20242024134
Phyllostachysaureosulcata'Spectabilis'16-04-20242024107
Hibanobambusatranquillans'Shiroshima'16-04-20242024107
Pseudosasajaponica13-04-20242024104
Fargesiadenudata'Lancaster 1'09-04-20242024100
Phyllostachysarcana03-04-2024202494
FargesiaRufa18-03-2024202478
Phyllostachysedulis'Moso'16-03-2024202476
Phyllostachysaurea29-05-20232023149
Tongpeiaarachnoides28-05-20232023148
Hibanobambusatranquillans'Shiroshima'13-05-20232023133
Phyllostachysaureosulcata'Spectabilis'07-05-20232023127
Pseudosasajaponica29-04-20232023119
FargesiaRufa06-04-2023202396
Phyllostachysarcana29-03-2023202388
Phyllostachysedulis'Moso'28-03-2023202387
Tongpeiaarachnoides29-07-20222022210
Phyllostachysaurea24-05-20222022144
Pseudosasajaponica12-05-20222022132
Fargesiadenudata'Lancaster 1'05-05-20222022125
Phyllostachysaureosulcata'Spectabilis'04-05-20222022124
Hibanobambusatranquillans'Shiroshima'04-05-20222022124
Phyllostachysarcana17-04-20222022107
Phyllostachysedulis'Moso'09-04-2022202299
FargesiaRufa07-04-2022202297
Tongpeiaarachnoides26-05-20212021146
Pseudosasajaponica20-05-20212021140
Phyllostachysaureosulcata'Spectabilis'14-05-20212021134
Fargesiadenudata'Lancaster 1'30-04-20212021120
Phyllostachysarcana28-04-20212021118
Phyllostachysedulis'Moso'04-04-2021202194
FargesiaRufa27-03-2021202186
Tongpeiaarachnoides10-06-20202020162
Phyllostachysaurea29-05-20202020150
Hibanobambusatranquillans'Shiroshima'09-05-20202020130
Fargesiadenudata'Lancaster 1'06-05-20202020127
Pseudosasajaponica02-05-20202020123
Phyllostachysaureosulcata'Spectabilis'12-04-20202020103
Phyllostachysedulis'Moso'20-03-2020202080
FargesiaRufa20-03-2020202080
Phyllostachysarcana17-03-2020202077
Tongpeiaarachnoides10-06-20192019161
Phyllostachysaurea01-06-20192019152
Hibanobambusatranquillans'Shiroshima'13-05-20192019133
Pseudosasajaponica10-05-20192019130
Fargesiadenudata'Lancaster 1'26-04-20192019116
Phyllostachysaureosulcata'Spectabilis'18-04-20192019108
Phyllostachysedulis'Moso'27-03-2019201986
FargesiaRufa19-03-2019201978
Phyllostachysarcana13-03-2019201972
Tongpeiaarachnoides25-05-20182018145
Phyllostachysaurea25-04-20182018115
Hibanobambusatranquillans'Shiroshima'25-04-20182018115
Pseudosasajaponica25-04-20182018115
Phyllostachysaureosulcata'Spectabilis'22-04-20182018112
Phyllostachysedulis'Moso'17-04-20182018107
Fargesiadenudata'Lancaster 1'17-04-20182018107
FargesiaRufa09-04-2018201899
Phyllostachysarcana21-03-2018201880
Tongpeiaarachnoides10-08-20172017222
Phyllostachysaurea20-05-20172017140
Pseudosasajaponica24-04-20172017114
Hibanobambusatranquillans'Shiroshima'24-04-20172017114
Fargesiadenudata'Lancaster 1'18-04-20172017108
Phyllostachysaureosulcata'Spectabilis'01-04-2017201791
Phyllostachysedulis'Moso'25-03-2017201784
FargesiaRufa20-03-2017201779
Phyllostachysarcana16-03-2017201775
Tongpeiaarachnoides11-05-20162016132
Fargesiadenudata'Lancaster 1'10-05-20162016131
Phyllostachysaurea09-05-20162016130
Hibanobambusatranquillans'Shiroshima'27-04-20162016118
Pseudosasajaponica21-04-20162016112
Phyllostachysaureosulcata'Spectabilis'10-04-20162016101
Phyllostachysedulis'Moso'01-04-2016201692
FargesiaRufa10-03-2016201670
Tongpeiaarachnoides13-06-20152015164
Phyllostachysaurea10-05-20152015130
Hibanobambusatranquillans'Shiroshima'09-05-20152015129
Pseudosasajaponica09-05-20152015129
Phyllostachysaureosulcata'Spectabilis'28-04-20152015118
Phyllostachysedulis'Moso'13-04-20152015103
Fargesiadenudata'Lancaster 1'10-04-20152015100
FargesiaRufa27-03-2015201586
Tongpeiaarachnoides26-05-20142014146
Hibanobambusatranquillans'Shiroshima'30-04-20142014120
Phyllostachysaurea28-04-20142014118
Phyllostachysaureosulcata'Spectabilis'12-04-20142014102
Phyllostachysedulis'Moso'25-03-2014201484
FargesiaRufa04-03-2014201463
Hibanobambusatranquillans'Shiroshima'08-05-20132013128
Fargesiadenudata'Lancaster 1'01-05-20132013121
Phyllostachysaureosulcata'Spectabilis'26-04-20132013116
Phyllostachysedulis'Moso'20-04-20132013110
Pseudosasajaponica20-04-20132013110
FargesiaRufa15-04-20132013105
Phyllostachysaurea17-03-2013201376
Phyllostachysaureosulcata'Spectabilis'05-05-20122012126
Hibanobambusatranquillans'Shiroshima'03-05-20122012124
Fargesiadenudata'Lancaster 1'09-04-20122012100
FargesiaRufa22-03-2012201282
Phyllostachysaurea03-03-2012201263
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