Facilitation influences when trees grow, but not growth rate in a dry temperate forest
Data files
Jun 04, 2026 version files 2.69 MB
-
README.md
7.24 KB
-
SJFDP_Census_4ha_full_202230427.csv
2.04 MB
-
SJFDP_Dendrometer_102023.csv
576.99 KB
-
SJFDP_Dendrometer_FocalTrees.csv
625 B
-
SJFDP_Env_4ha_20230504.csv
24.68 KB
-
SJFDP_Weather_122021_102023.csv
40.62 KB
Abstract
Accurately predicting the role of forests in the global carbon cycle requires a detailed understanding of the factors mediating the timing and magnitude of radial stem growth. While weather conditions and topo-edaphic factors play a critical role in mediating short-term woody growth, biotic factors can also drive radial growth dynamics, yet their importance is often overlooked.
To better understand how weather and neighboring trees drive patterns of intra-annual stem growth, we installed automated dendrometer bands on two tree species (Pinus ponderosa, Quercus kelloggii) in a dryland ecosystem for two years. We evaluated differences in radial growth dynamics between the two species as well as the influence of neighborhood (total, heterospecific, and conspecific neighborhood basal area) and weather (precipitation, temperature and Vapor Pressure Deficit [VPD]) on daily radial growth rates and whether daily growth occurs (growth probability).
We found that the differences in intra-annual radial growth dynamics between the two species were driven partially by weather conditions, with P. ponderosa radial growth remaining relatively consistent across the two study years despite the below average precipitation in 2022, while Q. kelloggii radial growth was significantly reduced in 2022. For both species, the daily growth rate and probability of growth were strongly influenced by weather, though for growth probability their importance varied across year and season. Importantly, both species exhibited greater total radial growth in neighborhoods with higher heterospecific basal area. Similarly, total growing days was associated with higher heterospecific and total basal area of neighboring trees. Neighborhood also served as an important driver of summer daily growth probability for both species but never influenced growth rates.
Our results illustrate how neighborhood can mediate tree growth patterns and how its importance varies across species, years, and seasons. Specifically, these results emphasize the potential for neighborhood dynamics to increase a tree’s total radial growth by increasing the frequency of daily radial growth, especially during the dry summer months, rather than through increasing the daily growth rate. This pattern suggests that in this water-limited system, tree-tree facilitative effects, potentially through hydraulic lift, play an important role in mediating tree radial growth.
San Jacinto Forest Dynamics Plot Adult, Focal Tree, Environmental, Dendrometer, and Weather data
To gain more insights into the process influencing forest dynamics in Southern California, we have established the 4ha San Jacinto Forest Dynamics Plot (SJFDP) on the west slope of Mt. San Jacinto in Southern California. This area is adjacent to the University of California James Reserve and is in the U.S. Forest Service (USFS) Hall Canyon research natural area. Briefly, within the SJFDP every free-standing woody stem (live or dead) greater than 1cm in diameter is identified to species, mapped, measured, and tagged for long term monitoring. Additionally, soil and topographic variables were collected within each of 100 20x20m quadrats. Using this data, automated band dendrometers were installed and radial growth was monitored on 10 individuals each of Pinus ponderosa and Quecus kelloggii trees in neighborhoods of varying conspecific and heterospecific basal area.
Adult Data - SJFDP_Census_4ha_full_202230427.csv - Within the SJFDP every free-standing woody stem (live or dead) greater than 1cm in diameter is identified to species, mapped, measured, and tagged for long term monitoring. Soil and topographic variables were collected within each of 100 20x20m quadrats.
Column Header Description Units
Quadrat the name of the quadrat the tree is located in NA
RF_Grid_Corner The grid pole that the rangefinder was shot from NA
StemTag the tag of the stem. NA
MainStemTag the tag of the tree (should be unique) NA
Species The Latin name (Genus and species) of the stem NA
Code the species code of the tree NA
DBH the diameter of the tree cm
SD slope distance from grid pole to stem m
INC vertical angle from grid pole to Stem degrees
AZ Azimuth from grid pole to tree base degrees
HD Horizontal distance from grid pole to stem m
Xcoordinates Distance along the grid x-axis measured with a tape measure m
Ycoordinates Distance along the grid x-axis measured with a tape measure m
gx Grid coordinates along the X axis of the whole grid m
gy Grid coordinates along the Y axis of the whole grid m
px Grid coordinates along the X axis of the 4ha grid m
py Grid coordinates along the Y axis of the 4ha grid m
Main Is it a main (M) or secondary (S) stem M or S
Status Is the tree Live (Li), Dead standing (DS), or dead and dwon (Dt) LI, DS, Dt
Codes List of codes (see below) NA
Notes Any notes NA
POM Point of measurement for DBH m
List of Codes from above Codes section
code description
A Alternate POM
B Buttress
BB Bark beetle
CD Crown >75% damaged
D Dead
FL Flowering
FR Fruiting
FS Fire scar
I Stem irregular where measured
L Leaning > 30 degrees
LI Living
M Main stem
MS Mistletoe
P Prostrate
PD Pest damage
PROB Problem
QS ID uncertain
RS Resprout
S Secondary stem
SBAD Stem broken above DBH
SBBD Stem broken below DBH
T Topped
TG Tagged out of sequence
Y Prostrate
blank No additional code
Focal Tree Data - SJFDP_Dendrometer_FocalTrees.csv - The twenty focal trees selected for dendrometer analysis from the adult dataset.
Column Header Description Units
Dendrometer_ID The unique ID code assigned to each dendrometer installed on one of the focal trees NA
Species The Latin name (Genus and species) of the stem NA
Quadrat The name of the quadrat the tree is located in NA
Mainstem_Tag The unique tag number assigned to the tree during the plot census NA
Environmental Data - SJFDP_Env_4ha_20230504.csv - Environmental data collected for each of the 20x20m quadrats within the SJFDP
Column Header Description Units
Quad the name of the quadrat the soil sample is located in
gx Grid coordinates along the X axis of the whole grid m
gy Grid coordinates along the Y axis of the whole grid m
x4ha Grid coordinates along the X axis of the 4ha grid m
y4ha Grid coordinates along the Y axis of the 4ha grid m
Lat Latitude decimal degrees
Long Longitude decimal degrees
elev_corner elevation of the corner of the quadrat above sea level in meters m
elev_corner.ft elevation of the corner of the quadrat above sea level in feet ft.
meanelev_m Mean elevation of the quadrat based on all four corners m
convex Convexity of the quadrat NA
slope Slope of the quadrat degrees
aspect Direction the downhill portion of the quadrat is facing degrees
tpi topographic position index - the difference between the elevation of a quadrat and the mean elevation of the eight surrounding quadrats m
tri topographic ruggedness index - mean absolute difference between the elevation of a quadrat and the elevation of the eight surrounding quadrats m
flowdir flow direction - direction of the greatest drop in elevation for a given quadrat degrees
OM Organic Matter %
ENR Estimated Nitrogen Released lbs/A
P Phosphorus (weak bray) ppm
HCO3_P Phosphorus (Olsen Method) ppm
PH Soil pH NA
K Potassium ppm
MG Magnesium ppm
CA Calcium ppm
NA Sodium ppm
H Hydrogen meq/100g
S Sulfur SO4 ppm
CEC Catio Exchange Capacity meq/100g
K_PCT Percent Potassium %
MG_PCT Percent Magnesium %
CA_PCT Percent Calcium %
H_PCT Percent Hydrogen %
NA_PCT Percent Sodium %
Dendrometer Data - SJFDP_Dendrometer_102023.csv - On each of the 20 focal individuals (10 Pinus ponderosa, 10 Quercus kelloggii), we installed a Dendrometer Increment Sensor DRL 26A (Environmental Measuring Systems, Brno Czech Republic). Sensors were set to record circumference measurements every fifteen minutes for the entire sampling period from December 2021 to October 2023. All dendrometer data was processed using the ‘treenetproc’ package in R (Haeni et al. 2020, Knüsel et al. 2021) to detect and correct any erroneous data points and then aggregated the data to the daily and total time scales.
Column Header Description Units
date The date of growth in YYY-MM-DD NA
id The ID code of the tree NA
species The species code (3 letter of the genus and species each) of the tree NA
growth_day Total daily radial growth for calendar day mu m
growth_annual Total annual radial growth for calendar year mu m
growth_total Total radial growth for the entire study period mu m
James Reserve Daily Weather Data - SJFDP_Weather_122021_102023.csv - Temperature, precipitation, and relative humidity data, collected at 10-minute increments, were obtained from the James Reserve weather station (33.80944, -116.7752; 1648.968m) which is about 1km from the SJFDP. All weather station data was checked for errors following the guidelines for data validation of meteorological data from automatic weather stations proposed by Estevez et al. (2011). Missing and erroneous data gaps were filled by interpolation utilizing the RNCEP package (Kemp et al. 2011) in R software (R Core Team, 2020). We used temperature and relative humidity data to calculate Vapor Pressure Deficit (VPD). VPD, temperature, and precipitation were utilized in the analysis. To obtain daily, and multi-day values, 10-minute values were averaged or summed (precipitation) to the new time scales.
Column Header Description Units
temp Daily average temperature Degrees Celcius
vpd Daily average vapor pressure deficit kPa
ppt Total daily precipitation mm
rh Average daily relative humidity %
date Date in YYYY-MM-DD format NA
