Framing and visualising biodiversity in EU policy

Figures & data

Table 1. Categories and subcategories from the inductive coding of images.

IMAGES
Animals	43
Birds, 14 Wild mammals, 7 Livestock, 3 Insects, 8 Marine animals, 8 Batrachians, 2 Slug, 1
People	33
Indoor, 6
Individual portraits, 2 Group portrait, 1 Other, 3
Outdoor activities, 27
Recreation/tourism, 9 Agriculture, 3 Fishing, 2 Forestry, 1 Bee-keeping, 1 Other, 11
Landscape/scenery	17
Flowery meadows, 7 Wetland, 4 Seaside/lake, 3 Groups of trees, 2 Forest landscape, 1
Maps, tables, and figures	7
Urban context	4
Flooded urban areas, 2 Car traffic, 1 Discharge of wastewater, 1
Vegetation	3
Infrastructure, traffic routes	2
Baskets of apples	2
Other	10
Total	121

Figure 1. Results of the image coding, showing the animal and landscape/scenery categories. Photo: Ylva Uggla.

Figure 2. Results of the image coding, showing the people category. Photo: Ylva Uggla.

Table

Categorisation of images, total 121	Denotation according to headings and captions, total 66
	Endangered/protected species	Rich biodiversity	Biodiversity values	Invasive alien species	Overfishing	Environmental degradation, pollution, and other threats	Devastating floods related to climate change	Politicians	Global concerns	Care for next generation	Monitoring
	Protected habitats	Biodiversity ‘hotspots’	Economic value		Damage to marine ecosystems		High costs to society	Political initiatives	Sustainable trade		Planning
	Important habitats and species		Ecosystem services								Research
											Education
	17	2	8	9	3	6	2	4	6	1	8
Animals, 43
Birds, 14	3				1				1		1
Insects, 8	3		2	2
Marine animals, 8	1			3
Wild mammals, 7	4		1						2
Livestock, 3
Batrachians, 2									1
Slug, 1				1
People, indoor, 6
Individual portraits, 2								2
Group portrait, 1								1
Other, 3								1			1
People, outdoor, 27
Recreation/tourism, 7	1		1			1
Children, 4										1	1
Farming, 3									1
Fishing, 2					1
Forestry, 1
Bee-keeping, 1			1
Other, 9									1		5
Landscape/scenery, 17
Flowery meadows, 7	1	2	1
Wetlands, 4				1
Seaside/lake, 3
Groups of trees, 2			1			1
Forest landscape, 1
Maps, tables, and figures, 7	4
Urban context, 4
Flooded urban areas, 2							2
Car traffic, 1						1
Discharge of wastewater, 1						1
Vegetation, 3				2					1
Infrastructure, traffic routes, 2
Baskets of apples, 2			1
Other, 10					1	2			1