| _version_ | 1866902090113089536 |
|---|---|
| author | Beugnon, Rémy |
| author_facet | Beugnon, Rémy |
| contents | <p># Tree diversity increases forest temperature buffering via enhancing canopy density and structural diversity</p> <p>**Authors:**</p> <p>Florian Schnabel*, Rémy Beugnon*, Bo Yang*, Ronny Richter, Nico Eisenhauer, Yuanyuan Huang, Xiaojuan Liu, Christian Wirth, Simone Cesarz, Andreas Fichtner, Maria D. Perles-Garcia, Georg J. A. Hähn, Werner Härdtle, Matthias Kunz, Nadia C. Castro Izaguirre, Pascal A. Niklaus, Goddert von Oheimb, Bernhard Schmid, Stefan Trogisch, Manfred Wendisch, Keping Ma†, Helge Bruelheide†</p> <p>**Journal:** Ecology Letters</p> <p>**Article DOI:** TBA</p> <p>**Data DOI:** 10.5281/zenodo.13626945</p> <p>## Folder description</p> <p>This folder contains all scripts and data used to build the models and figures of our paper.</p> <p>*Analysis scripts:*</p> <p>- Fig1.R: script compiling the data, testing the effects of tree species richness effects on microclimate temperature on the daily and the monthly scale, and preparing Figure 1</p> <p>- Fig2.R: script compiling the data, testing the effects of tree species richness effects on microclimate temperature buffering on the monthly and yearly scales, and preparing Figure 2</p> <p>- Fig3.R: script compiling the data, testing the Structural Equation Models (SEMs) examining potential mediators of tree species richness effects on monthly temperature buffering, and preparing Figure 3</p> <p>- mod-day-pred.RDS and hourly-model.csv: pre-fitted daily models </p> <p>*Datasets:*</p> <p>- inventory_data.csv: forest inventory measurement 2015 - 2020<br>Columns:<br> "Site_plot": measurement site and plot identifier<br> "year mean height": yearly mean tree height<br> "year mean crown base height": yearly mean tree crown base height<br> "year crown length": yearly mean crown length<br> "year basal area": yearly mean basal area</p> <p>- LAI.csv: Leaf Area Index measurements.<br>Columns:<br> "site": measurement site<br> "site.plot": measurement site and plot identifier<br> "time": sampling time<br> "LAI": LAI measure</p> <p>- macroclimate.csv: macroclimate estimation at landscape level from CRU<br>Columns:<br> "year": measurement year<br> "month": measurement month<br> "tmp_celsius": monthly mean temperature<br> "tmn_celsius": monthly minimum temperature<br> "tmx_celsius": monthly maximum temperature</p> <p>- spei.csv: macroclimate SPEI estimation at landscape level from CRU<br>Columns:<br> "year": measurement year<br> "SPEI12": 12 months SPEI estimation<br> <br>- spei1.csv: macroclimate SPEI estimation at landscape level from CRU<br>Columns:<br> "year": measurement year<br> "month": measurment month<br> "spei": 1 months SPEI estimation</p> <p>- microclimate_data.csv.zip: 1 m air temperature measurements<br>Columns:<br> "site": site identifier<br> "plot": plot identifier<br> "TreeDiv": tree species richness<br> "year": measurement year<br> "month": measurement month<br> "day": measurement day<br> "hour": measurement hour<br> "T": temperature measurement</p> <p>- plots_Site_A.csv: Site A planting design and plot details<br>Columns:<br> "PLOT_NO": plot identifier<br> "TREE_R": tree species richness<br> "TREE_CMP": tree species composition<br> "ALTITUDE": plot altitude<br> "EASTNESS": plot eastness<br> "NORTHNESS": plot northness<br> "SLOPE": plot slope<br> "CURV_PR" & "CURV_PL": plot curvature</p> <p>- SSCI_Data_2019.csv: Terrestrial laser scanning site A measurements<br>Columns:<br> "PLOT_NO": plot identifier<br> "MeanFrac": average number of layer<br> "ENL": effective number of layers<br> "SSCI": plot structural complementarity</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14765447 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | remybeugnon/Schnabel-Beugnon-Yang-et-al_tree-diversity-temperature-buffering: Revision - Eco Letter - published version Beugnon, Rémy <p># Tree diversity increases forest temperature buffering via enhancing canopy density and structural diversity</p> <p>**Authors:**</p> <p>Florian Schnabel*, Rémy Beugnon*, Bo Yang*, Ronny Richter, Nico Eisenhauer, Yuanyuan Huang, Xiaojuan Liu, Christian Wirth, Simone Cesarz, Andreas Fichtner, Maria D. Perles-Garcia, Georg J. A. Hähn, Werner Härdtle, Matthias Kunz, Nadia C. Castro Izaguirre, Pascal A. Niklaus, Goddert von Oheimb, Bernhard Schmid, Stefan Trogisch, Manfred Wendisch, Keping Ma†, Helge Bruelheide†</p> <p>**Journal:** Ecology Letters</p> <p>**Article DOI:** TBA</p> <p>**Data DOI:** 10.5281/zenodo.13626945</p> <p>## Folder description</p> <p>This folder contains all scripts and data used to build the models and figures of our paper.</p> <p>*Analysis scripts:*</p> <p>- Fig1.R: script compiling the data, testing the effects of tree species richness effects on microclimate temperature on the daily and the monthly scale, and preparing Figure 1</p> <p>- Fig2.R: script compiling the data, testing the effects of tree species richness effects on microclimate temperature buffering on the monthly and yearly scales, and preparing Figure 2</p> <p>- Fig3.R: script compiling the data, testing the Structural Equation Models (SEMs) examining potential mediators of tree species richness effects on monthly temperature buffering, and preparing Figure 3</p> <p>- mod-day-pred.RDS and hourly-model.csv: pre-fitted daily models </p> <p>*Datasets:*</p> <p>- inventory_data.csv: forest inventory measurement 2015 - 2020<br>Columns:<br> "Site_plot": measurement site and plot identifier<br> "year mean height": yearly mean tree height<br> "year mean crown base height": yearly mean tree crown base height<br> "year crown length": yearly mean crown length<br> "year basal area": yearly mean basal area</p> <p>- LAI.csv: Leaf Area Index measurements.<br>Columns:<br> "site": measurement site<br> "site.plot": measurement site and plot identifier<br> "time": sampling time<br> "LAI": LAI measure</p> <p>- macroclimate.csv: macroclimate estimation at landscape level from CRU<br>Columns:<br> "year": measurement year<br> "month": measurement month<br> "tmp_celsius": monthly mean temperature<br> "tmn_celsius": monthly minimum temperature<br> "tmx_celsius": monthly maximum temperature</p> <p>- spei.csv: macroclimate SPEI estimation at landscape level from CRU<br>Columns:<br> "year": measurement year<br> "SPEI12": 12 months SPEI estimation<br> <br>- spei1.csv: macroclimate SPEI estimation at landscape level from CRU<br>Columns:<br> "year": measurement year<br> "month": measurment month<br> "spei": 1 months SPEI estimation</p> <p>- microclimate_data.csv.zip: 1 m air temperature measurements<br>Columns:<br> "site": site identifier<br> "plot": plot identifier<br> "TreeDiv": tree species richness<br> "year": measurement year<br> "month": measurement month<br> "day": measurement day<br> "hour": measurement hour<br> "T": temperature measurement</p> <p>- plots_Site_A.csv: Site A planting design and plot details<br>Columns:<br> "PLOT_NO": plot identifier<br> "TREE_R": tree species richness<br> "TREE_CMP": tree species composition<br> "ALTITUDE": plot altitude<br> "EASTNESS": plot eastness<br> "NORTHNESS": plot northness<br> "SLOPE": plot slope<br> "CURV_PR" & "CURV_PL": plot curvature</p> <p>- SSCI_Data_2019.csv: Terrestrial laser scanning site A measurements<br>Columns:<br> "PLOT_NO": plot identifier<br> "MeanFrac": average number of layer<br> "ENL": effective number of layers<br> "SSCI": plot structural complementarity</p> |
| title | remybeugnon/Schnabel-Beugnon-Yang-et-al_tree-diversity-temperature-buffering: Revision - Eco Letter - published version |
| url | https://doi.org/10.5281/zenodo.14765447 |