Mapping of cultivated crops supply capacity of urban ecosystems in Bulgaria

Transcription

1 Mapping and assessment of ecosystem services science in action International Scientific Conference on ecosystem services Sofia, Bulgaria, 6-7 February 2017 Mapping of cultivated crops supply capacity of urban ecosystems in Bulgaria Ivo Ihtimanski, Stoyan Nedkov National Institute of geophysics, Geodesy and Geography, BAS, Acad. Georgi Bonchev Str., bl.3,

2 OBJECT OF RESEARCH Crops supply capacity of urban ecosystems SCOPE OF THE STUDY Urban ecosystems in Bulgaria (Pleven District is presented here) AIMS OF THE STUDY Creating maps representing the capacity of urban ecosystems to provide crops 2

3 SOURCES OF INFORMATION Project Towards better understanding of ecosystem services in urban environments through mapping and assessment (TUNESinURB) 3

4 PLEVEN DISTRICT 4

5 URBAN AND SUBURBUN AGRICULTURE allotment gardens community gardens private gardens and courtyards rooftop farms something more:

6 URBAN ECOSYSTEMS IN PLEVEN DISTRICT 6

7 URBAN ECOSYSTEMS IN PLEVEN DISTRICT 7

8 *SELECTED URBAN ECOSYSTEMS J1 - Residential and public areas of cities and towns J3 - Residential and public low density areas J2 - Sub-urban areas are not found in Pleven district *According to: Methodology for assessment and mapping of urban ecosystems their condition and the services that they provide in Bulgaria. 8

9 SELECTED CONSTRUCTION TYPES Low buildings with low-density Flimsy low rise buildings Large-areas low rise buildings Scattered buildings 9

10 SELECTED NATURAL LAND COVER TYPES Scattered trees Bushes and shrubs Low vegetation Bare soil 10

11 SELECTING SUITABLE TYPES OF URBAN ECOSYSTEMS IN THE CITY OF PLEVEN 11

12 SOIL PRODUCTIVITY Indicator (SPI) - Methodology Soil category indicator based on Regulation for categorization of agricultural lands 12

13 SOIL PRODUCTIVITY Indicator - Methodology Reclassification *Soil category indicator Soil productivity *Based on Bulgarian Regulation for categorization of agricultural lands 13

14 SOIL PRODUCTIVITY Indicator - Methodology Interpolation IDW (Inverse Distance Weighted) 14

15 SOIL PRODUCTIVITY Indicator - Methodology Intersection Suitable construction and natural land cover types and Soil productivity *Unsuitable construction types and natural land cover types receive a score of zero 15

16 Hydro - climatic Condition Indicator (HCCI)- Methodology Sub indicators 1. actual evapotranspiration 2. organic matter in soil 3. risk to soil and atmospheric drought Every suitable polygon has a score from 1 to 5 for every sub indicator. 16

17 Hydro - climatic Condition Indicator - Methodology The evaluation for HCCI indicator must be from 1 to 5 1 is lowest score. If sum = 1 or 2 or 3 then HCCI = 1 If sum = 4 or 5 or 6 then HCCI = 2 If sum = 7 or 8 or 9 then HCCI = 3 If sum = 10 or 11 or 12 then HCCI = 4 If sum = 13 or 14 or 15 then HCCI = 5 17

18 Ecosystem Condition Indicator (ECI) - Methodology Sub indicators 1. Air quality 2. Annual dust emissions 3. Nitrogen dioxide (NO2) 4. Sulfur dioxide (SO2) 18

19 Ecosystem Condition Indicator - Methodology 19

20 Ecosystem Condition Indicator - Methodology If sum = 1 or 2 or 3 or 4 then ECI = 1 If sum = 5 or 6 or 7 or 8 then ECI = 2 If sum = 9 or 10 or 11 or 12 then ECI = 3 If sum = 13 or 14 or 15 or 16 then ECI = 4 If sum = 17 or 18 or 19 or 20 then ECI = 5 20

21 Final results data processing SPI + HCCI + ECI = SUM If sum 1 or 2 or 3 then CCSC = 1 If sum 4 or 5 or 6 then CCSC = 2 If sum 7 or 8 or 9 then CCSC = 3 If sum 10 or 11 or 12 then CCSC = 4 If sum 13 or 14 or 15 then CCSC = 5 *CCSC - cultivated crops supply capacity 21

22 Cultivated Crops Supply Capacity (CCSC) of urban ecosystems final results 22

23 Cultivated Crops Supply Capacity (CCSC) of urban ecosystems final results 23

24 CONCLUSIONS Reliable outcomes Flexibility and adaptability of the methodology 24

25 THANK YOU FOR YOUR ATTENTION! 25