Metadata collected in 2022 for "Topography and time shape mire morphometry and large-scale mire distribution patterns in the northern boreal landscape"

For further information, see methods in the publication Ehnvall et al. 2024. Topography and time shape mire morphometry and large-scale mire distribution patterns in the northern boreal landscape
Contact: bettyehnvall@gmail.com

File information

Shapefiles

*Mires are based on the ms layer of the Swedish Property Map by the Swedish Mapping, Cadastral and Land Registration Authority (Lantmäteriet). 
File: "Mires.shp"
Variables: FID, Shape*, Id, TC_to_mire, UC_to_mire, Age_mire
Data rows: 3473

*Buffers are based on the mire layer, and represent the 20 m zone surrounding the mire margin. 
File: "Buffers.shp"
Variables: FID, Shape*, Id
Data rows: 3470

* Unique catchment areas have been modelled using Whitebox GAT, from the mire layer and a 2x2 m digital elevation model (DEM) provided by the Swedish Mapping, Cadastral and Land Registration Authority (Lantmäteriet).
The unique catchment area represents all hydrologically connected upslope areas that a mire does not share with other mires.
File: "Unique_catchment_area.shp"
Variables: FID, Shape*, Id, AREA
Data rows: 3576

* Total catchment areas have been modelled using Whitebox GAT, from the mire layer and a 2x2 m digital elevatino model (DEM) provided by the Swedish Mapping, Cadastral and Land Registration Authority (Lantmäteriet).
The total catchment area represents all hydrologically connected upslope areas, including any upslope mires and their unique catchment areas.
File: "Total_catchment_area.shp"
Variables: FID, Shape*, Id, AREA
Data rows: 3576

* One thousand year age zones in the 0-9000 year age range including all areas. The age zones were delineated based on a 2x2 m digital elevatino model (DEM) provided by the Swedish Mapping, Cadastral and Land Registration Authority (Lantmäteriet) and a local shore displacement curve.
File: "Age_zones_all_areas.shp"
Variables: FID, Shape*, ID, Age
Data rows: 10

* One thousand year age zones in the 0-9000 year age range including only non-mire areas. This layer was prepared by marking out the mire layer ("Mires.shp") from the total age zones ("Age_zones_all_areas.shp").
File: "Age_zones_all_areas.shp"
Variables:FID, Shape*, ID, Age
Data rows: 10


Data tables and script

* In the R script all analyses and plot preparations included in the paper are shown, except for Figure, which is a map prepared in ArcMap.
File: "Script_for_Ehnvall_et_al_2023.R"

* Mire file applied for preparing Figures 2, 3, 4 and 6.
File: "Mire_data.csv"
Variables: Id, Mire_area, Age_mire, UC_to_mire, Mire_shape_index, Median_slope, Median_SMI
Data rows: 3469

* File applied for preparing Figure 5.
File: "Age_zone_slope_and_wetness.csv"
Variables: Age, Slope_25, Slope_50, Slope_75, SMI_25, SMI_50, SMI_75
Data rows: 11

File: "Buffer_data.csv"
Variables: Id, Mire_area, Age_mire, Median_SMI, Median_slope
Data rows: 3471
 
File: "UC_data.csv"
Variables: Age_mire, Median_SMI, Median_slope
Data rows: 3474

Explanation of variables:

FID: row id
Shape*: polygons
Id: the individual mire id, which is the same for buffers and catchemnts (unique and total) that are associated with the mire
ID: age zone id
TC_to_mire [no unit]: the catchment-to-mire area ratio based on the total catchment area
UC_to_mire [no unit]: the catchment-to-mire area ratio based on the unique catchment area
Age_mire [years BP]: the mean mire age estimated from the elevation above sea level and a site specific shore displacement curve
AREA [square meters]: catchment area (excluding the mire it drains into) for the unique and total catchment areas in respective file
Mire_area [square meters]: mire area 
Mire_shape_index [no unit]: shape index calculated from the mire area and perimeter
Age [years BP]: age of a 1000-year age zone 
Slope_25 [%]: 25th percentile of slope in non-mire areas in each 1000-year age zone
Slope_50 [%]: 50th percentile (i.e. median) of slope in non-mire areas in each 1000-year age zone
Slope_75 [%]: 75th percentile of slope in non-mire areas in each 1000-year age zone
SMI_25 [%]: 25th percentile of the SLU soil moisture index (SMI) in non-mire areas in each 1000-year age zone
SMI_50 [%]: 50th percentile (i.e. median) SMI in non-mire areas in each 1000-year age zone
SMI_75 [%]: 75th percentile of SMI in non-mire areas in each 1000-year age zone
Median_slope [%]: median slope in respective area (mire, buffer, catchment)
Median_SMI [%]: median moisture (SLU soil moisture index) in espective area (mire, buffer, catchment)