Botanical composition, pasture management parameters and environemental variables per study sites 

Sandrine Wider
Supervision: Prof. Clara Zemp
Université de Neuchâtel


Contact : sandrine.wider@vogelwarte.ch
clara.zemp@unine.ch


Data collected in year 2023-2024-2025
Data collected in the Jura mountains in the canton of Neuchâtel

Botanical data collected by Noa De Berg in year 2024 (See related paper for protocol)
Pasture Management data collected by Sandrine Wider during year 2024 (See related paper for protocol and interview grid)

Environmental data provided by: Canton of Neuchâtel : Données cartographiques du SITN © [2022] / Service de la Géomatique et du Registre Foncier / Service de l'agriculture
The use of the data is restricted to this specific project and should not be distributed further. 

Work financed by the Conservation Biology Lab, university of Neuchâtel

Files explanation: 

- quadrat_50m : Shapefile, Quadrat 50mx50m used for botanical data Collection
- Couche_quadrats_bota_row : Excel file, each line correspond to a Quadrat with Information percentage cover of each grassland category is given (see Methods section in the related paper for definition of grasslands categories)
- Sub_unit_management :  Shapefile, Study sites with uniform pasture Management (See related paper for study site selection)
- Data : Excel file, Each line represent a study site, columns are the variables used in the analyses, variables related to pasture Management have been recorded during the interviews with Farmers. 
					
	- Estivage /summer grazing area):	1 = yes (summer grazing area)	0 = all year round used land					
	- Intensity: category of increasing management intensity (1 to 3) see paper for more information					
	- area: continuous variable, area of study sites (ha)						
	- Cat_Type_det (cattle type): lait (laitières, dairy cows), gen (=0.4 ugb) (génisses, young cows), 	lait-gen,  tar (taries, cows after having had the calf), all (allaitante, mother cows), horse
	
	- Cat_Type: coding for the categories Above, see description in the paper

	- surface: continous variable: surfaces of the whole farming estate in which cattle is grazing, ha						
	- UGB/ha (unité gros bétail, large livestock unit /hectare), continuous variable						
	- Past_syst (pasture system): rot/in (rotation within the subunit), rot/out (subunit part of a rot 	syst including other past units), cont (continue)
				
	- Past_start: (pasture starting date)april(1)may (2)mid-may (3)jun (4)mid-jun (5)	july (6)
	
	- Past_stop: (pasture end date)end_aug(1)	mid-sept (2)end_sept(3)	mid-oct(4)end_oct(5)	
	
	- Past_days: (nb of pasture day)

	- nb past_days dairy cow : nb days total/nb paddocks 					

	- Nb_rot (number of rotations): continous variable (number of paddock rotations) 						
	- NonPast_days:  (number of non-pasture days), continuous variable						
	- Mow (type of mowing):1(rien), 2(mowing left over from cattle), 3(meadows for mowing)				
	- Fert_type: (fertilisation type)	1(rien), phosphore, chaux, organique	
		
	- Non_Fert: (never fertilised area), continous variable (area that is never fertilized, m2)						
	- Weed: (weed control type) 1(rien),2(mecanic),3(chimical)
				
	- TRI: (terrain rugdness index), measured at a scale of 10 m, using an DEM (Digital Elevation model 	derived from a Lidar data belonging to canton de Neuchâtel, point density: 100 pts/m2, resolution: 1 	m) with a Resolution of 10 m, continuous variable
						
	- Alt: (altitude), continuous variable
						
	- Exp: (Exposition) continuous variable
						
	- Perc_Tcover: % of tree cover, calculated using an CHM (canopy height model, derived from Lidar 	data belonging to canton de Neuchâtel, point density: 30 pts/m2, spatial resolution: 1m ), 	continuous variable
						
	- Dist_farm: (distance to farm), 0(next to the farm, max 10 minwalk), 2(10-15 min by car),  	3(further)
				
	- Mean cat_1 to Mean cat_8: For grassland categories 1 to 8 (see paper and SI for description of 	grasslands categories), continous variable, mean area (m2) covered among the quadrats in the study 	site