Southern Finland regional analysis
Background for the exercise Training example and data created originally for training of regional council of Southern Finland 2013 Aims at presenting a realitic, yet simplified Zonation setup Note: Data has been generalised and is partially invented
Background for the analyses General plan process to be started for the region Aim: to ensure sustainable well-being and competitiveness Including: Safeguarding biodiversity and ecosystem services Zonation is used to identify important and less valuable areas for biodiversity and ecosystem services NOTE: this is a training example with simplifications and invented data J
Land use in Uusimaa region Vegetation and land use Source: Uudenmaan liitto
Principal formations in the area Source: Uudenmaan liitto
Data structure in Southern Finland Z
Project structure in S Finland Z
Important data sets
MASK: Analysis area mask
SPECIES: Occurrence of rare species
HABITAT: FOREST, Birch forest index Sirkiä, S., Lehtomäki, J., Lindén, H., Tomppo, E. & Moilanen, A. 2012: Defining spatial priorities for capercaillie (Tetrao urogallus) lekking landscape conservation in south-central Finland. Wildlife Biology 18: 337 353
HABITAT: FOREST, Pine forest index Sirkiä, S., Lehtomäki, J., Lindén, H., Tomppo, E. & Moilanen, A. 2012: Defining spatial priorities for capercaillie (Tetrao urogallus) lekking landscape conservation in south-central Finland. Wildlife Biology 18: 337 353
Corine Land Cover nomenclature (25 m) CLC2000- NOMENCLATURE 1 ARTIFICIAL AREAS 1.1 Urban fabric 1.1.1 Continuous urban fabric 1.1.2 Discontinuous urban fabric 1.2 Industrial, commercial and transport units 1.2.1 Industrial or commercial units 1.2.2 Road and rail networks and associated land 1.2.3 Port areas 1.2.4 Airports 1.3 Mine, dump and construction sites 1.3.1 Mineral extraction sites 1.3.2 Dump sites 1.3.3 Construction sites 1.4 Artificial non-agricultural vegetated areas 1.4.1 Green urban areas 1.4.2 Sport and leisure facilities 2 AGRICULTURAL AREAS 2.1 Arable land 2.1.1 Non-irrigated arable land 2.1.2 Permanently irrigated land 2.1.3 Rice fields 2.2 Permanent crops 2.2.1 Vineyards 2.2.2 Fruit trees and berry plantations 2.2.3 Olive groves 2.3 Pastures 2.3.1 Pastures 2.4 Heterogeneous agricultural areas 2.4.1 Annual crops associated with permanent crops 2.4.2 Complex cultivation patterns 2.4.2 Peltojen ja niittyjen muodostama mosaiikki 2.4.3 Land principally occupied by agriculture, with significant areas of natural vegetation 2.4.4 Agro-forestry areas 3. FOREST AND SEMI-NATURAL AREAS 3.1 Forests 3.1.1 Broad-leaved forest 3.1.2 Coniferous forest 3.1.3 Mixed forest 3.2 Shrubs and/or herbaceous vegetation associations 3.2.1 Natural grassland 3.2.2 Moors and heathland 3.2.3 Sclerophylous vegetation 3.2.4 Transitional woodland/shrub 3.3 Open spaces with little or no vegetation 3.3.1 Beaches, dunes, and sand plains 3.3.2 Bare rock 3.3.3 Sparsely vegetated areas 3.3.4 Burnt areas 3.3.5 Glaciers and perpetual snow 4. WETLANDS 4.1 Inland wetlands 4.1.1 Inland marshes 4.1.2 Peatbogs 4.2 Coastal wetland 4.2.1 Salt marshes 4.2.2 Salines 4.2.3 Intertidal flats 5. WATER BODIES 5.1 Inland waters 5.1.1 Water courses 5.1.2 Water bodies 5.2 Marine waters 5.2.1 Coastal lagoons 5.2.2 Estuaries 5.2.3 Sea and ocean
Corine land cover data Original classification in 25 m resolution Agricultural areas Wetlands Peatlands Non-irrigated arable land 1 Fruit trees & berry plantations 6 Pastures 3 Inland marshes 1 Salt marshes 1 Salines 1 Intertidal flats 1 Peatbogs 1
Corine land cover data Original classification in 25 m resolution Agricultural areas Wetlands Peatlands Aggregation to 100 m Sum of agrivalues Sum of wetland values Sum of peatland values
HABITATS: Peatlands
HABITATS: Wetlands
HABITATS: Agricultural lands ranked with their BD value
HABITATS: traditional rural biotopes, nationally, regionally, locally important
ECOSYSTEM SERVICES: Groundwater areas
ECOSYSTEM SERVICES: Recreational areas
Land cover à Condition layer 1.3.2 Dump sites 0 1.3.3 Construction sites 0.1 1.4.1 Green urban areas 0.7 1.4.2 Sport and leisure facilities 0.7 1.4.2 Sport and leisure facilities 0.7 1.4.2 Sport and leisure facilities 0.7 2.1.1 Non-irrigated arable land 0.3 2.1.1 Non-irrigated arable land 0.3 2.2.2 Fruit trees and berry plantations 0.4 2.3.1 Pastures 0.4 3.1.1 Broad-leaved forest 0.9 3.1.1 Broad-leaved forest 0.9 3.1.2 Coniferous forest 0.9 3.1.2 Coniferous forest 0.9 3.1.2 Coniferous forest 0.9 3.1.3 Mixed forest 0.9 3.2.4 Transitional woodland/shrub 0.9 3.2.4 Transitional woodland/shrub 0.9 3.2.4 Transitional woodland/shrub 0.9 3.2.4 Transitional woodland/shrub 0.9 3.2.4 Transitional woodland/shrub 0.9 3.3.1 Beaches, dunes, and sand plains 0.9 3.3.2 Bare rock 0.9 4.1.1 Inland marshes 0.9 4.1.1 Inland marshes 0.9 4.1.2 Peatbogs 0.9 Peat extraction 0 4.2.3 Intertidal flats 0.9 4.2.3 Intertidal flats 0.9 5.1.1 Water courses 0.9 5.1.2 Water bodies 0.9 5.1.2 Water bodies 0.9
CONDITION: All land use
CONSERVATION: All conservation areas
CONSERVATION / LANDUSE: Hierarchical mask
What is the aim of the analysis? What BD features are needed for prioritization? Protection of certain species or balanced solution? - Data sets? - Weights? - Cell removal rules
Step-by-step development of the analyses Forest data only (UML_01_M_abf) Forests + other environments (UML_02_MSP_abf) Forests, other environments, forest connectivity (UML_03_MSP_mc_abf) Forests, other environments, forest connectivity + ecosystem services (UML_04_MSP_mc_ESS_L_abf) As previously + condition layer (UML_05_MSP_mck_ESS_L_abf) As previously + harmful land use and negative connectivity (UML_06_MSP_mcki_ESS_L_abf) As previously + current protection (UML_07_MSP_mcki_ESS_L_abf_HM1) As in UML_6 + current plans (UML_08_MSP_mcki_ESS_L_abf_HM2)
Step-by-step development of the analyses 1. UML_01_M_abf 2. UML_02_MSP_abf 3. UML_03_MSP_mc_abf 4. UML_04_MSP_mc_ESS_L_abf 5. UML_05_MSP_mck_ESS_L_abf 6. UML_06_MSP_mcki_ESS_L_abf 7. UML_07_MSP_mcki_ESS_L_abf_HM1 8. UML_08_MSP_mcki_ESS_L_abf_HM2
Codes in the names are interpreted as follows: UML = Uudenmaanliitto M = Forests (Metsät) S = Peatlands and wetlands (Suot ja kosteikot) P = Agricultural areas (Pellot ja perinnebiotoopit) ESS = Ecosystem services L = Species data (Lajiaineistot) mc = matrix connectivity k = Condition layer (kuntokerros) i = Interaction connectivity, negative landuse (interaktiot) HM1 = Hierarchical mask 1 (Regional zoning) HM2 = Hierarchical mask 2 (Protected areas) abf = Additive benefit function
UML_01_M_abf Prioritization using forest indices for four forest types Sirkiä, S., Lehtomäki, J., Lindén, H., Tomppo, E. & Moilanen, A. 2012: Defining spatial priorities for capercaillie (Tetrao urogallus) lekking landscape conservation in southcentral Finland. Wildlife Biology 18: 337 353
UML_01_M_abf Weights for individual layers List of BD features
UML_02_MSP_abf Forest index layers + other land uses (Peatlands, wetlands, agriculture: traditional rural biotopes + agricultural areas)
UML_03_MSP_mc_abf Forest index layers + other land uses (Peatlands, wetlands, agriculture: traditional rural biotopes + agricultural areas) Habitat connectivity
UML_04_MSP_mc_ESS_L_abf Habitat data + species data + ecosystem services Habitat connectivity Grouping of results
UML_05_MSP_mck_ESS_L_abf Habitat data + species data + ecosystem services Habitat connectivity Grouping of results Habitat condition
UML_06_MSP_mcki_ESS_L_abf Habitat data + species data + ecosystem services Habitat connectivity Grouping of results Habitat condition Negative connectivity to harmful landuse
Other Data Layers
UML_07_MSP_mcki_ESS_L_abf_HM1 Habitat data + species data + ecosystem services Habitat connectivity Grouping of results Habitat condition Negative connectivity to harmful landuse Hierarchical mask with regional plan (3 levels; 3 = PA, 2 = Planned green areas, 1 = the rest)
CONSERVATION / LANDUSE: Hierarchical mask
UML_08_MSP_mcki_ESS_L_abf_HM2 Habitat data + species data + ecosystem services Habitat connectivity Grouping of results Habitat condition Negative connectivity to harmful landuse Hierarchical mask with all protected area
Explore yourself!
Good luck!