Title: | Dataset from the Novel Forests of Singapore |
Version: | 2.1.0 |
Description: | The raw dataset and model used in Lai et al. (2021) Decoupled responses of native and exotic tree diversities to distance from old-growth forest and soil phosphorous in novel secondary forests. Applied Vegetation Science, 24, e12548. |
License: | CC BY 4.0 |
URL: | https://hrlai.github.io/novelforestSG/, https://github.com/hrlai/novelforestSG |
BugReports: | https://github.com/hrlai/novelforestSG/issues |
Encoding: | UTF-8 |
LazyData: | true |
RoxygenNote: | 7.3.0 |
Depends: | R (≥ 3.5.0) |
Suggests: | brms (≥ 2.10.0), testthat |
NeedsCompilation: | no |
Packaged: | 2024-01-15 23:18:31 UTC; hrlai |
Author: | Hao Ran Lai |
Maintainer: | Hao Ran Lai <hrlai.ecology@gmail.com> |
Repository: | CRAN |
Date/Publication: | 2024-01-15 23:30:03 UTC |
novelforestSG
Description
Forest community data used in Lai et al. (2021); also comprised part of the raw data used in Neo et al. (2017).
Details
The main component of novelforestSG
is the dataset,
which can be accessed with novelforest_data
.
See ?novelforest_data
for more details.
Author(s)
Hao Ran Lai, hrlai.ecology@gmail.com
Kwek Yan Chong, kwek@u.nus.edu
Alex Thiam Koon Yee
Maintainer: Hao Ran Lai, hrlai.ecology@gmail.com
References
Lai, H.R., Tan, G.S.Y., Neo, L., Kee, C.Y., Yee, A.T.K., Tan, H.T.W. and Chong, K.Y. (2021) Decoupled responses of native and exotic tree diversities to distance from old-growth forest and soil phosphorous in novel secondary forests. Applied Vegetation Science, 24, e12548. doi:10.1111/avsc.12548
Neo, L., Yee, A. T. K., Chong, K. Y., Kee, C. Y. and Tan, H. T. W. (2017). Vascular plant species richness and composition in two types of post-cultivation tropical secondary forest. Applied Vegetation Science, 20, 692-701. doi:10.1111/avsc.12322
Download Model Fitted to novelforest_data
Description
Download the brms
model fitted to novelforest_data
(Lai et al. 2021).
The model object is too large (16.5 MB) to be included with the package,
so this function downloads the model from the developmental GitHub website.
The generalised linear mixed-effect model was fitted via brms::brm
so
this package is recommended to make full use of the model object.
Usage
download_model(save_to = NULL)
Arguments
save_to |
Path and name of the file where the R object is saved to. Defaults to NULL, which does not save the model object locally. |
Value
A brms
model output of class brmsfit
,
which is a list containing the input data
and other slots
that store the model components.
Notably, the data
slot contains a data.frame
with the following
response variables:
- SD_N_0
first-order native taxonomic diversity, i.e., species richness
- SD_N_2
second-order native taxonomic diversity, i.e., inverse Simpson index
- SD_E_0
first-order exotic taxonomic diversity
- SD_E_2
second-order exotic taxonomic diversity
- FD_N_0
first-order native functional diversity
- FD_N_2
second-order native functional diversity
- FD_E_0
first-order exotic functional diversity
- FD_E_2
second-order exotic functional diversity,
and the following explanatory variables (and measurement units if you backtransform
them using backtransform
):
- dist
Distance to old-growth forests (m)
- size
Patch area (km^2)
- nitrogen
Total soil nitrogen (mg/kg)
- phosphorous
Total extractable soil phosphorous (mg/kg)
- potassium
Total extractable soil potassium (mg/kg)
- patch
Forest patch ID
#' Note that all explanatory variables were log-transformed and standardised to zero mean and
unit standard deviations. Use backtransform
to obtain the variables in
their original scales. See Lai et al. (2021) for more details on model building and
data collection.
References
Lai, H.R., Tan, G.S.Y., Neo, L., Kee, C.Y., Yee, A.T.K., Tan, H.T.W. and Chong, K.Y. (2021) Decoupled responses of native and exotic tree diversities to distance from old-growth forest and soil phosphorous in novel secondary forests. Applied Vegetation Science, 24, e12548. doi:10.1111/avsc.12548
See Also
backtransform, brms::brmsfit, brms::brm
Examples
## Not run:
novelforest_model <- download_model()
# library(brms) # recommended
summary(novelforest_model)
# to obtain input data
novelforest_model$data
## End(Not run)
Novel Forest Raw Dataset
Description
The raw data used in Lai et al. (2021) and Neo et al. (2017).
Usage
novelforest_data
Format
A list of four data.frame
:
- trees
a table of woody stems measured, with
treeID
as the unique identifier- pres
a table of presences of vascular plant species in each plot
- plots
a table of the environmental measurements or landscape characteristics for each plot, with
plotID
as the unique identifier- patches
a table of the patches and their characteristics, with
patchID
as the unique identifier
With the following variables:
- patch
Forest patch identifier
- plot
Plot identifier
- UID
Stem identifier
- species
Species name following Chong et al. (2011)
- stem
Indicator column denoting whether a stem is the main trunk (=1) of an individual tree, or otherwise (=0)
- dbh_2011
Diameter-at-breast-height (cm) measured in year 2011.
- canopy
% Canopy cover
- litter
Leaf litter depth / cm
- nitrogen
Soil total Nitrogen /g^-1 kg^-1
- phosphorous
Soil extractable Phosphorous /mg^-1 kg^-1
- potassium
Soil extractable Potassium /mg^-1 kg^-1
- dist
Distance to nearest old-growth forest /km
- type
Type of forest;
ABA
: abandoned-land forest type,WAS
: waste-woodland forest type- size
Size (i.e., area) of forest patch /ha
See Lai et al. (2021) or Neo et al. (2017) for more detail on data collection.
References
Chong, K. Y., Tan, H. T. W. and Corlett, R. T. (2011). A summary of the total vascular plant flora of Singapore. Gardens' Bulletin Singapore, 63, 197-204.
Lai, H.R., Tan, G.S.Y., Neo, L., Kee, C.Y., Yee, A.T.K., Tan, H.T.W. and Chong, K.Y. (2021) Decoupled responses of native and exotic tree diversities to distance from old-growth forest and soil phosphorous in novel secondary forests. Applied Vegetation Science, 24, e12548. doi:10.1111/avsc.12548
Neo, L., Yee, A. T. K., Chong, K. Y., Kee, C. Y. and Tan, H. T. W. (2017). Vascular plant species richness and composition in two types of post-cultivation tropical secondary forest. Applied Vegetation Science, 20, 692-701. doi:10.1111/avsc.12322
Examples
# Tree community matrix (by stem counts)
comm_stem <- xtabs(~ plot + species, data = novelforest_data$trees)
comm_stem[1:10, 1:4]
# Species occurrence matrix (of all vascular plants)
comm_all <- xtabs(~ plot + species, data = novelforest_data$pres)
comm_all[1:10, 1:4]
# Reproduce (part of) the summary table (Appendix S2) in the supplementary
# material of Neo et al. (2017)
with(novelforest_data,
apply(plots[3:8], 2,
function(x) tapply(x, plots$patch, mean, na.rm = TRUE))
)