Title:
Data for Schnabel et al. (2021) Species richness stabilizes productivity via asynchrony and drought-tolerance diversity in a large-scale tree biodiversity experiment. Science Advances
Access rights:
Free for public
Usage rights:
Data is openly available, see license for citation.
Published:
Schnabel F, Liu X, Kunz M, Barry KE, Bongers FJ, Bruelheide H, Fichtner A, Härdtle W, Li S, Pfaff C-T, Schmid B, Schwarz JA, Tang Z, Yang B, Bauhus J, von Oheimb G, Ma K & Wirth C (2021). Species richness stabilizes productivity via asynchrony and drought-tolerance diversity in a large-scale tree biodiversity experiment. Science Advances, 7(51). https://doi.org/10.1126/sciadv.abk1643
Abstract:
Extreme climatic events threaten forests and their climate mitigation potential globally. Understanding the drivers promoting ecosystem stability is therefore considered crucial for mitigating adverse climate change effects on forests. Here, we use structural equation models to explain how tree species richness, asynchronous species dynamics, species-level population stability and drought-tolerance traits relate to the stability of forest productivity along an experimentally manipulated species richness gradient ranging from 1 to 24 tree species. Tree species richness improved community stability by increasing asynchrony. That is, at higher species richness, inter-annual variation in productivity among tree species buffered the community against stress-related productivity declines. This effect was positively related to variation in stomatal control and resistance-acquisition strategies among species, but not to the community-weighted means of these trait syndromes. The identified mechanisms by which tree species richness stabilizes forest productivity emphasize the importance of diverse, mixed-species forests to adapt to climate change.
Design:
We used data from a large-scale forest biodiversity experiment with a gradient of species richness ranging from monocultures up to mixtures of 24 tree species planted at two sites with distinct species pools. We sampled six random extinction scenarios allocated to two sites (A and B; three at each site) with a total of 396 plots and 158,400 planted trees. 21 plots were excluded prior to our analysis due to failed establishment success of the planted trees, which left 375 plots (n=218 mixtures and n=157 monocultures) for our analysis. Individual tree basal diameters, tree height and species identity were measured annually from 2010 (site A) and 2011 (site B) onwards until 2019 at the end of the growing season. To avoid edge effects, the central 12×12 trees were measured for each plot in the 4-, 8-, 16- and 24-species mixtures, while a smaller group of the central 6×6 trees was measured for monocultures and 2-species mixtures.
Spatial extent:
Main experiment of the Biodiversity–Ecosystem Functioning Experiment China (BEF-China, www.bef-china.com) at Xingangshan, Dexing, Jiangxi (29° 08′–29° 11′N, 117° 90′–117°93′E).
Temporal extent:
Individual tree basal diameters, tree height and species identity were measured annually from 2010 (site A) and 2011 (site B) onwards at the end of the growing season until end 2019. Our productivity estimates cover a complete series of forest growth over the course of 9 and 8 years for site A and B, respectively.
Taxonomic extent:
This study used 40 native tree species, planted with seedlings raised from seeds collected from nearby forests. Taxonomic information is available in Supplementary Material.
Measurement cirumstances:
No information available
Data analysis:
In this study, we analyzed the direct and indirect effects of tree species richness, asynchrony, average species-level population stability, drought-tolerance diversity and the community-weighted means of drought-tolerance traits on the stability of forest community productivity.
Filter:
Dataset column
Name:
siteplot
Definition:
Joint site and plot number
Unit:
No information available
Datagroup:
Plot name Main experiment (letter, number code)
Keywords:
No information available
Values:
A.C33 |
A.C31 |
A.C32 |
A.B36/C36 |
A.D32 |
Contributors:
No information available
Dataset column
Name:
site
Definition:
Site
Unit:
No information available
Datagroup:
Site Main Experiment
Keywords:
No information available
Values:
A |
B |
Contributors:
No information available
Dataset column
Name:
plot_no
Definition:
Plot number
Unit:
No information available
Datagroup:
Plot name Main experiment (letter, number code)
Keywords:
No information available
Values:
C27 |
B36/C36 |
C33 |
C31 |
C32 |
Contributors:
No information available
Dataset column
Name:
tree_r
Definition:
Planted tree species richness
Unit:
No information available
Datagroup:
Diversity
Keywords:
No information available
Values:
2 |
4 |
24 |
1 |
16 |
Contributors:
No information available
Dataset column
Name:
extinction
Definition:
Extinction scenario
Unit:
No information available
Datagroup:
Extinction series type within main experiment.
Keywords:
No information available
Values:
A |
C |
B |
Contributors:
No information available
Dataset column
Name:
ptag
Definition:
Plot ID
Unit:
No information available
Datagroup:
Plot name Main experiment (letter, number code)
Keywords:
No information available
Values:
p103320 |
p104320 |
p102361 |
p103310 |
p103330 |
Contributors:
No information available
Dataset column
Name:
tree_cmp
Definition:
Tree species composition
Unit:
No information available
Datagroup:
Community Composition
Keywords:
No information available
Values:
A. altissima_A. fortunei_B. luminifera_C. fargesii_C. biondii_E. chinensis_E. glabripetalus_E. japonicus_I. polycarpa_M. grijsii_M. leptophylla_M. thunbergii_M. yuyuanensis_M. flexuosa_Ph. bournei_Q. phillyreoides |
A. altissima_A. fortunei |
A. altissima_A. fortunei_C. fargesii_C. sclerophylla |
A. altissima_A. fortunei_C. eyrei_C. fargesii_C. sclerophylla_C. biondii_C. camphora_C. glauca_D. oldhamii_D. glaucifolia_E. glabripetalus_L. glaber_M. leptophylla_M. thunbergii_Ph. bournei_S. superba |
A. altissima |
Contributors:
No information available
Dataset column
Name:
vip
Definition:
Vip plots
Unit:
No information available
Datagroup:
VIP plot indication
Keywords:
No information available
Values:
vip |
viprep |
Contributors:
No information available
Dataset column
Name:
mu4
Definition:
Indicating whether a plot's position was randomized separately (1 mu) or in a quadrat of four plots (4 mu)
Unit:
No information available
Datagroup:
Plot arrangement
Keywords:
No information available
Values:
4 |
1 |
Contributors:
No information available
Dataset column
Name:
mu4.plot
Definition:
Unique plot identifier like "siteplot" but plots belonging to a square of four plots (i.e. forming a large plot of size 4 mu) have the same code
Unit:
No information available
Datagroup:
Plot arrangement
Keywords:
No information available
Values:
A.A.mu.4.sr.16.C. henryi_C. eyrei_C. sclerophylla_Ch. axillaris_C. glauca_C. myrsinaefolia_K. bipinnata_L. formosana_L. glaber_N. sinensis_Q. fabri_Q. serrata_R. chinensis_S. mukorossi_S. sebiferum_S. superba |
A.A.mu.4.sr.1.C. henryi |
A.A.mu.4.sr.1.Ch. axillaris |
A.A.mu.4.sr.1.C. eyrei |
A.A.mu.4.sr.1.C. glauca |
Contributors:
No information available
Dataset column
Name:
mu
Definition:
Temporal mean of aboveground wood volume production
Unit:
m3 ha-1 year-1
Datagroup:
Productivity
Keywords:
No information available
Values:
0.00843458469207231 |
0.000305302828524563 |
0.00980344917230081 |
0.00346452340195264 |
0.000628427279487152 |
Contributors:
No information available
Dataset column
Name:
sd
Definition:
Temporal standard deviation of aboveground wood volume production
Unit:
m3 ha-1 year-1
Datagroup:
Productivity
Keywords:
No information available
Values:
0.000352511367912846 |
0.0119593980999949 |
0.0168287977711879 |
0.000590856982119859 |
0.00235881214189382 |
Contributors:
No information available
Dataset column
Name:
com_stab
Definition:
Community stability
Unit:
No information available
Datagroup:
Productivity
Keywords:
No information available
Values:
0.210178360075353 |
0.365605664738055 |
0.301337966464237 |
0.274494312782449 |
0.382978438582625 |
Contributors:
No information available
Dataset column
Name:
cwm_stocon
Definition:
Community-weighted mean of stomatal control traits
Unit:
No information available
Datagroup:
Community-weighted mean trait
Keywords:
No information available
Values:
0.00306729738411771 |
0.00194525697313248 |
0.00128855158222551 |
-0.000106127646395443 |
-0.00138957009603931 |
Contributors:
No information available
Dataset column
Name:
fd_stocon
Definition:
Functional dispersion (FDis) of stomatal control traits
Unit:
No information available
Datagroup:
Functional biodiversity
Keywords:
No information available
Values:
0.000109882409320169 |
0.000105666273233024 |
0 |
0.000154776649982765 |
0.000188911920605036 |
Contributors:
No information available
Dataset column
Name:
cwm_res
Definition:
Community-weighted mean of resistance-acquisition traits
Unit:
No information available
Datagroup:
Community-weighted mean trait
Keywords:
No information available
Values:
0.0190634575789535 |
-0.0127323009144004 |
-0.0289261286684517 |
-0.0111956315514157 |
0.00982405879879533 |
Contributors:
No information available
Dataset column
Name:
fd_res
Definition:
Functional dispersion (FDis) of resistance-acquisition traits
Unit:
No information available
Datagroup:
Functional biodiversity
Keywords:
No information available
Values:
0.000121153594342029 |
0.000150074741850302 |
0.000121116880520879 |
0 |
0.000177808305112846 |
Contributors:
No information available
Dataset column
Name:
a
Definition:
Species asynchrony
Unit:
No information available
Datagroup:
Productivity
Keywords:
No information available
Values:
0.000443866176651486 |
0.000334205257886522 |
0.000170655637794837 |
0.000229503565271183 |
0 |
Contributors:
No information available
Dataset column
Name:
pop_stab
Definition:
Average species-level population stability
Unit:
No information available
Datagroup:
Productivity
Keywords:
No information available
Values:
0.274494312782449 |
0.365605664738055 |
0.301337966464237 |
0.382978438582625 |
0.210178360075353 |
Contributors:
No information available
No information available
No information available
No information avialable
Filter:
No information available
Filter:
TreeDì_P3G Spatio-temporal complementarity: P3G: Spatio-temporal complementarity
Description:
Water use
Theory predicts that diverse communities use resources more efficiently than monocultures. Under water shortage resource complementarity of water use may buffer growth decline. Carbon isotopes (d13C) in tree rings are used to infer dive...
Id:
42
People:
5
Datasets:
3
Proposals:
0
Attachments:
0
Created at:
2019-12-17
Updated at:
2019-12-17
TreeDì: TreeDì International Research Training Group
Description:
"TreeDì - 林地 - TreeDiversity Interactions: The role of tree-tree interactions in local neighbourhoods in Chinese subtropical forests" is an International Research Training Group funded by the German Research Foundation (DFG) and the University of ...
Id:
36
People:
56
Datasets:
9
Proposals:
6
Attachments:
0
Created at:
2018-03-05
Updated at:
2019-12-17
No information available
No information available
No information available
No information available
No information available