Data from: Does historical land use affect the regional distribution of fleshy-fruited woody plants? (Arnell et al 2019)

Matilda Arnell (1), Sara A.O. Cousins (2) and Ove Eriksson (1)

(1) Department of Ecology, Environment and Plant Sciences, Stockholm University, Sweden
(2) Department of Physical Geography, Stockholm University, Sweden


These are the raw data from the publication Arnell, M., S.A.O. Cousins and Eriksson, O., 2019, Does historical land use affect the regional distribution of fleshy-fruited woody plants?

Files:

Arnell_et_al_2019_data.csv - The data file. Columns are as follows:

lat: latitude
lon: longitude
time: date and time
species: species name
region: A =  region located in the County of Södermanland (midpoint: 58˚54ʹ/17˚19ʹ) - Sweden, B = region located in the northern part of Stockholm archipelago on the peninsula of Väddö and Björkö and the island of Singö (midpoint 59˚58ʹ/18˚51ʹ) - Sweden 
transect: A_= transects in region A, B_ = transects in region B
trans_segment: A_= transect segments in region A, B_ = transect segments in region B
fertile: individuals displaying flowers or fruits
height: height [cm], measured for individuals <= 200 cm
grazed: 1 = individuals with signs of browsing by wild ungulates, 0 = individuals with no signs of browsing by wild ungulates


Sampling:
Between June and September 2015, the occurrences of all fleshy-fruited woody species was inventoried along approximately 500 m long and 20 m wide transects; 
44 transects in region A and 23 in region B. 
For three genera where species identification may be difficult, records were lumped into Cotoneaster spp., Crataegus spp. and Rosa spp., 
and each of them was counted as one taxon. Rubus idaeus (raspberry) was identified, but all blackberry species were lumped into Rubus fruticosus agg., 
and counted as one taxon.
In addition, the following data was collected: height of individuals <= 200 cm, whether they had flowers or fruits and signs of browsing by wild ungulates. 
Geographical position were obtained for each recorded individual using a GPS. 
In order to obtain presence-absence data, each transect was divided into 20 x 20 m segments, resulting in approximately 25 segments per transect.  




Please consult to the original article for full sampling information. 

Please contact Matilda Arnell (matilda.arnell@su.se) for information or collaboration. 

Please cite the original article when using these data.