SlideShare une entreprise Scribd logo
1  sur  10
Influence of Urban-Rural Gradient on
       Wetlands of Bangalore:
    A case study using amphibians




                       Gururaja KV
                       CiSTUP, IISc, Bangalore
                       Email: gururaj@cistup.iisc.ernet.in
Water bodies in Bangalore
• Vrishabhavathi, Challaghatta and
  Hebbal                                 Group         Species
• # > 300, hundred year back, almost     Butterflies   154
  all man made; as of today 81 with
  water (except a few, all polluted)     Fishes        41
• 28 lakes officially converted to bus
  stand, sports                          Frogs         18
  complex, residential/commercial
  complex                                Reptiles      37
• 7 lakes cannot be traced! 18 an-       Birds         395
  authorized urban poor dwelling, 14
  dried up                               Mammals       41
• 12 lakes given to BDA for
  restoration!                           Plants        >500
• Encroachment, sewage, industrial
  discharge, sand mining!
                                         Source: Karthikeyan (1999)+BNG Birds
                                         Personal obsevations
Why Amphibians?
• Greek, Amphi – dual; bios
  – life, two life stages
      • Tadpole stage, generally in
        water
      • Adult stage, either water
        or land
• Ectotherms, Skin
  breathers, Anamniotes
• Best bio-pest controllers
   – Algaecide, larvicide
• Human welfare: AMPs
• Cultural Issues
   – Rig veda;
   – Association with rain
Variables used
    Water bodies    Distance Pollution Road Green Connectivity Area Pop.Density
                     (km)              (km)  (%)                 (ha) (ind/sq.km)
    Bannerghatta     23.16      No       0   100     Yes           2     1025.9
    Doddannekundi 10.32        Yes     0.72   25     No         47.08    1816.5
    Hebbala           7.27     Yes     2.05   37     Yes        64.5    5678.48
    IISc              5.23      No       0   100     No           <1    4069.21
    Kommaghatta      14.28      No     1.47   87     Yes          15    2279.37
    Konsandra        14.85      No     0.26  100     Yes        11.41   2279.37
    Lalbagh           3.54     Yes     0.18   75     No         12.9    14590.69
    Madivala          8.04     Yes     2.51    0     No        114.16   5308.96
    Malathalli       10.23      No       0    87     Yes           3    2554.29
    Mattikere          7.2     Yes     0.85    0     No         39.34   19109.27
    Puttenahalli     14.63     Yes     0.31   50     Yes        8.87    3097.17
    Rachenahalli     10.04      No     0.76   50     Yes          60    2046.34
    Ramasandra       14.61      No     0.62  100     Yes          30    2279.37
    Sankey            3.52     Yes     1.15   50     No           10    4069.21
    Sompura            15       No     0.23  100     Yes        3.07     850.33
    Thalaghattapura   13.8      No     0.04   75     Yes           3     850.33
    Tindlu           10.02      No     0.53   38     Yes        46.44   5152.38
    Ullalu           11.85      No       0   100     Yes           4    2279.37
    Ulsoor            2.62     Yes       3     0     No         35.81   21363.69
    Varthur          17.24     Yes     1.41   50     Yes        180.4    929.1
    Vengaiah Kere     12.3     Yes     1.01   13     No         21.78   4977.54
    Venkateshpura    11.39      No       0    87     Yes          2.8    874.96
1
Amphibian density and diversity
                  Eup_cya Mic_ orn Fej_cap Pol_ mac Dut_mel Fej sp. Hop_tig Ram_var Kal_tap
Bannerghatta         8       6        3        2       3              1        1       1
Doddannekundi
Hebbala             3        2                                                 1
IISc                2                 2                2                               1
Kommaghatta         2
Konsandra           2                                  1       1
Lalbagh
Madivala            1                                  1
Malathalli          2
Mattikere                                              1
Puttenahalli        4        3                         2
Rachenahalli        2                 2                        2
Ramasandra          1        1        1                1       1
Sankey
Sompura             2                                          1
Thalaghattapura     1                                  1       1
Tindlu              4        3        2       1
Ullalu              2        2        2                1
Ulsoor
Varthur             3        1        2                1
Vengaiah Kere                                          1
Venkateshpura       4                 1                1       1
Distance from water body
1



       Species                      Min (m)   Max (m)   n
       Euphlyctis cyanophlyctis       0.5       5.0     10
       Microhyla ornata               0.5       5.0     10
       Fejervarya caperata            0.5       5.0     10
       Polypedates maculatus          1.0      100.0     5
       Duttaphrynus melanostictus     0.5      150.0     4
       Fejervarya sp                  0.5       10.0    10
       Hoplobatrachus tigerinus       2.0       75.0     4
       Ramanella variegata            3.0       15.0     2
       Kalaoula pulchra               1.5       60.0     6
Non-metric multidimensional Scaling
Asphalted road, Pollution, Pop.density




                                                                                                                                                                                                                      50m
                                                                                                                                                                                                  Wetland
                                                                                                                                                                                                                       Terrestrial buffer

                                                                                                                          0.16
                                                                                                                                        Malathalli       Sompura
                                                                               Lalbagh
                                                                                                                                                             Talaghatta                              Aquatic buffer
                                                                                                                          0.12


                                                                                                                         0.08
                                                                             Sankey                                      Kommaghatta                                      Venkateshpura_
                                                                                                                                                  Konasandra                               IISc
                                                                                                                          0.04
                                         Coordinate 2




                                                                                             Doddannekundi                                                    Ullalu
                                                        -0.4   -0.32        -0.24            -0.16         -0.08                           0.08            0.16                    0.24    0.32
                                                                                                                                                Ramasandra
                                                               Ulsoor                    Vengaiah_Kere                             Rachenahalli
                                                                                                                         -0.04
                                                                           Mattikere
                                                                                                                         -0.08
                                                                                                                                                  Puttenahalli
                                                                                                    Madivala
                                                                                                                         -0.12
                                                                                                                                                                                                    Bannerghatta

                                                                                                                         -0.16                     Varthur
                                                                                                               Hebbala                   Tindlu
                                                                                                                          -0.2

                                                                                                                         Coordinate 1




                                                                        Distance from city centre, species richness, Green cover
Findings
• Water bodies are not ‘tea cups’
   – Drain, dredge, develop will not work
   – With pavements all around, percolation gets reduced
   – Reduced green cover, reduces receiving capacity and
     increases run off
   – Toxic run off directly gets into water

• Water bodies are not sewers: Three important things
  they do - Receive, Store and Release

• Beneficial to individuals to entire city!
Future directions
• Managerial question: How to do it?
  –   Ecological underpinnings in development and design
  –   One reporting agency, many collaborating agencies
  –   On priority – work on peripheral water bodies
  –   Treat individual water body based on its
      environmental history
  –   Local community involvement
  –   Legislation
  –   Understanding Synurbanization
  –   Urban dynamics (temporal changes)
Thank you

Contenu connexe

Plus de Ekonnect

Strategic Action Planning for Revival of Bangalore Lakes_KSPCB
Strategic Action Planning for Revival of Bangalore Lakes_KSPCBStrategic Action Planning for Revival of Bangalore Lakes_KSPCB
Strategic Action Planning for Revival of Bangalore Lakes_KSPCBEkonnect
 
Assessment Derived Conservation Strategies for Lakes in Bangalore
Assessment Derived Conservation Strategies  for Lakes in BangaloreAssessment Derived Conservation Strategies  for Lakes in Bangalore
Assessment Derived Conservation Strategies for Lakes in BangaloreEkonnect
 
Action taken by BWSSB in preventing pollution of Lakes
Action taken by BWSSB in preventing pollution of LakesAction taken by BWSSB in preventing pollution of Lakes
Action taken by BWSSB in preventing pollution of LakesEkonnect
 
Master Plan Project Report on Remodeling of Storm Water Drains_BBMP
Master Plan Project Report on Remodeling of Storm Water Drains_BBMP Master Plan Project Report on Remodeling of Storm Water Drains_BBMP
Master Plan Project Report on Remodeling of Storm Water Drains_BBMP Ekonnect
 
Development and Maintenance of Lakes_BBMP
Development and Maintenance of Lakes_BBMPDevelopment and Maintenance of Lakes_BBMP
Development and Maintenance of Lakes_BBMPEkonnect
 
Prasad Modak Presentation at First Multistakholder Workshop
Prasad Modak Presentation at First Multistakholder WorkshopPrasad Modak Presentation at First Multistakholder Workshop
Prasad Modak Presentation at First Multistakholder WorkshopEkonnect
 

Plus de Ekonnect (6)

Strategic Action Planning for Revival of Bangalore Lakes_KSPCB
Strategic Action Planning for Revival of Bangalore Lakes_KSPCBStrategic Action Planning for Revival of Bangalore Lakes_KSPCB
Strategic Action Planning for Revival of Bangalore Lakes_KSPCB
 
Assessment Derived Conservation Strategies for Lakes in Bangalore
Assessment Derived Conservation Strategies  for Lakes in BangaloreAssessment Derived Conservation Strategies  for Lakes in Bangalore
Assessment Derived Conservation Strategies for Lakes in Bangalore
 
Action taken by BWSSB in preventing pollution of Lakes
Action taken by BWSSB in preventing pollution of LakesAction taken by BWSSB in preventing pollution of Lakes
Action taken by BWSSB in preventing pollution of Lakes
 
Master Plan Project Report on Remodeling of Storm Water Drains_BBMP
Master Plan Project Report on Remodeling of Storm Water Drains_BBMP Master Plan Project Report on Remodeling of Storm Water Drains_BBMP
Master Plan Project Report on Remodeling of Storm Water Drains_BBMP
 
Development and Maintenance of Lakes_BBMP
Development and Maintenance of Lakes_BBMPDevelopment and Maintenance of Lakes_BBMP
Development and Maintenance of Lakes_BBMP
 
Prasad Modak Presentation at First Multistakholder Workshop
Prasad Modak Presentation at First Multistakholder WorkshopPrasad Modak Presentation at First Multistakholder Workshop
Prasad Modak Presentation at First Multistakholder Workshop
 

Dernier

SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 

Dernier (20)

SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 

Influence of Urban-Rural Gradient on Wetlands of Bangalore_CiSTUP

  • 1. Influence of Urban-Rural Gradient on Wetlands of Bangalore: A case study using amphibians Gururaja KV CiSTUP, IISc, Bangalore Email: gururaj@cistup.iisc.ernet.in
  • 2. Water bodies in Bangalore • Vrishabhavathi, Challaghatta and Hebbal Group Species • # > 300, hundred year back, almost Butterflies 154 all man made; as of today 81 with water (except a few, all polluted) Fishes 41 • 28 lakes officially converted to bus stand, sports Frogs 18 complex, residential/commercial complex Reptiles 37 • 7 lakes cannot be traced! 18 an- Birds 395 authorized urban poor dwelling, 14 dried up Mammals 41 • 12 lakes given to BDA for restoration! Plants >500 • Encroachment, sewage, industrial discharge, sand mining! Source: Karthikeyan (1999)+BNG Birds Personal obsevations
  • 3. Why Amphibians? • Greek, Amphi – dual; bios – life, two life stages • Tadpole stage, generally in water • Adult stage, either water or land • Ectotherms, Skin breathers, Anamniotes • Best bio-pest controllers – Algaecide, larvicide • Human welfare: AMPs • Cultural Issues – Rig veda; – Association with rain
  • 4. Variables used Water bodies Distance Pollution Road Green Connectivity Area Pop.Density (km) (km) (%) (ha) (ind/sq.km) Bannerghatta 23.16 No 0 100 Yes 2 1025.9 Doddannekundi 10.32 Yes 0.72 25 No 47.08 1816.5 Hebbala 7.27 Yes 2.05 37 Yes 64.5 5678.48 IISc 5.23 No 0 100 No <1 4069.21 Kommaghatta 14.28 No 1.47 87 Yes 15 2279.37 Konsandra 14.85 No 0.26 100 Yes 11.41 2279.37 Lalbagh 3.54 Yes 0.18 75 No 12.9 14590.69 Madivala 8.04 Yes 2.51 0 No 114.16 5308.96 Malathalli 10.23 No 0 87 Yes 3 2554.29 Mattikere 7.2 Yes 0.85 0 No 39.34 19109.27 Puttenahalli 14.63 Yes 0.31 50 Yes 8.87 3097.17 Rachenahalli 10.04 No 0.76 50 Yes 60 2046.34 Ramasandra 14.61 No 0.62 100 Yes 30 2279.37 Sankey 3.52 Yes 1.15 50 No 10 4069.21 Sompura 15 No 0.23 100 Yes 3.07 850.33 Thalaghattapura 13.8 No 0.04 75 Yes 3 850.33 Tindlu 10.02 No 0.53 38 Yes 46.44 5152.38 Ullalu 11.85 No 0 100 Yes 4 2279.37 Ulsoor 2.62 Yes 3 0 No 35.81 21363.69 Varthur 17.24 Yes 1.41 50 Yes 180.4 929.1 Vengaiah Kere 12.3 Yes 1.01 13 No 21.78 4977.54 Venkateshpura 11.39 No 0 87 Yes 2.8 874.96 1
  • 5. Amphibian density and diversity Eup_cya Mic_ orn Fej_cap Pol_ mac Dut_mel Fej sp. Hop_tig Ram_var Kal_tap Bannerghatta 8 6 3 2 3 1 1 1 Doddannekundi Hebbala 3 2 1 IISc 2 2 2 1 Kommaghatta 2 Konsandra 2 1 1 Lalbagh Madivala 1 1 Malathalli 2 Mattikere 1 Puttenahalli 4 3 2 Rachenahalli 2 2 2 Ramasandra 1 1 1 1 1 Sankey Sompura 2 1 Thalaghattapura 1 1 1 Tindlu 4 3 2 1 Ullalu 2 2 2 1 Ulsoor Varthur 3 1 2 1 Vengaiah Kere 1 Venkateshpura 4 1 1 1
  • 6. Distance from water body 1 Species Min (m) Max (m) n Euphlyctis cyanophlyctis 0.5 5.0 10 Microhyla ornata 0.5 5.0 10 Fejervarya caperata 0.5 5.0 10 Polypedates maculatus 1.0 100.0 5 Duttaphrynus melanostictus 0.5 150.0 4 Fejervarya sp 0.5 10.0 10 Hoplobatrachus tigerinus 2.0 75.0 4 Ramanella variegata 3.0 15.0 2 Kalaoula pulchra 1.5 60.0 6
  • 7. Non-metric multidimensional Scaling Asphalted road, Pollution, Pop.density 50m Wetland Terrestrial buffer 0.16 Malathalli Sompura Lalbagh Talaghatta Aquatic buffer 0.12 0.08 Sankey Kommaghatta Venkateshpura_ Konasandra IISc 0.04 Coordinate 2 Doddannekundi Ullalu -0.4 -0.32 -0.24 -0.16 -0.08 0.08 0.16 0.24 0.32 Ramasandra Ulsoor Vengaiah_Kere Rachenahalli -0.04 Mattikere -0.08 Puttenahalli Madivala -0.12 Bannerghatta -0.16 Varthur Hebbala Tindlu -0.2 Coordinate 1 Distance from city centre, species richness, Green cover
  • 8. Findings • Water bodies are not ‘tea cups’ – Drain, dredge, develop will not work – With pavements all around, percolation gets reduced – Reduced green cover, reduces receiving capacity and increases run off – Toxic run off directly gets into water • Water bodies are not sewers: Three important things they do - Receive, Store and Release • Beneficial to individuals to entire city!
  • 9. Future directions • Managerial question: How to do it? – Ecological underpinnings in development and design – One reporting agency, many collaborating agencies – On priority – work on peripheral water bodies – Treat individual water body based on its environmental history – Local community involvement – Legislation – Understanding Synurbanization – Urban dynamics (temporal changes)