Innovative approaches in climate adaptation

Jacob van Etten

(and many others)

Agrobiodiversity to manage risks and empower the poorInternational Conference Rome, Italy, 27-29 April 2015

Climate is moving targetP

rob

lem

Climate is moving targetAdaptation is location-specific

Pro

ble

m

Climate is moving targetAdaptation is location-specific

Information about a diverse array of options is required

Pro

ble

m

Pro

ble

mClimate is moving targetAdaptation is location-specific

Information about a diverse array of options is required

Climate is moving targetAdaptation is location-specific

Information about a diverse array of options is required

Pro

ble

m

Can we overcome barriers to

diversity and accelerate

knowledge generation?

So

lutio

n

So

lutio

n

So

lutio

n

Citizen science (also known as crowd science, crowdsourcedscience, civic science or networked science) is scientific research conducted, in whole or in part, by amateur or nonprofessional scientists.

Wikipedia

So

lutio

n

Crowdsourcing is the process of obtaining needed services, ideas, or content by soliciting contributions from a large group of people, and especially from an online community, rather than from traditional employees or suppliers.

Wikipedia

So

lutio

n

Big task

So

lutio

n

Big task

So

lutio

n

Big task

Micro-task

1

Micro-task

5

Micro-task

2

Micro-task

3

Micro-task

4

Micro-task

6

Micro-task

7

Micro-task

n

So

lutio

n

Big task

Micro-task

1

Micro-task

5

Micro-task

2

Micro-task

3

Micro-task

4

Micro-task

6

Micro-task

7

Micro-task

n

Job done

So

lutio

n

So

lutio

n

Imp

lem

en

tatio

n

Imp

lem

en

tatio

n

Imp

lem

en

tatio

n

Imp

lem

en

tatio

n

1

2

3

Imp

lem

en

tatio

n

Imp

lem

en

tatio

n

Imp

lem

en

tatio

n

Imp

lem

en

tatio

n

MSc thesis Kees van Duijvendijk

Imp

lem

en

tatio

n

Jacob van Etten & Lluis Calderer (2015)

Imp

lem

en

tatio

n

Imp

lem

en

tatio

n

Re

su

lts

Victoria

Macuzalito

Chepe

Cedrón

Campechano

Amadeus 77

Don Kike

Overall performance

Bradley-Terry model results

Re

su

lts

MSc thesis Jonathan Steinke

Re

su

lts

“Why do you participate in crowdsourcing?”

MSc thesis Jonathan Steinke

PhD thesis Eskender Beza

0

5

10

15

20

25

30

35

40

45

50

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

Pilot, 2011-12 Wheat, 2012-13

Rice, 2013 Wheat, 2013-14

Rice, 2014 Wheat, 2014-15

Var

ieti

es

Farm

ers

Upscaling process in India

Number of varieties Number of farmersRe

su

lts

Bioversity Delhi team

0.00

10.00

20.00

30.00

40.00

50.00

60.00

70.00

80.00

90.00

100.00

IGK

VR

-2

IGK

VR

-1

MA

LVIA

DH

AN

23

02

MA

HA

MA

YA

SWA

RN

A S

UB

-1

MTU

-70

29

MA

LVIA

SU

GA

ND

H-4

3

ND

R-9

7

DA

NTE

SHW

AR

I

IR-3

6

GO

TRA

VID

HA

N

IND

RA

BA

RA

NID

HA

N

RA

NJE

ND

RA

MA

NSU

RI

IMP

RO

VED

SH

AM

BA

MA

NSU

RI

RA

JSH

REE

PU

SA S

UG

AN

DH

-5

ND

R-3

59

SUG

AN

DH

-4

PU

SA-4

4

PU

SA B

ASM

ATI

-15

09

IR-6

4

MTU

-10

10

PU

RN

IMA

RA

JEN

DR

A S

WET

A

BP

T-5

20

4

PN

R-3

81

PR

AB

HA

T

SAR

YU-5

2

HU

R-1

05

AN

NA

DA

Farm

er 2

7p

31

Farm

er A

rize

64

44

Farm

er jk

Farm

er P

ion

eer

71

Farm

er D

haa

nya

see

ds

Yield of 31 varieties of rice (orange) and 5 locally grown varieties (blue)

(q/ha)R

esu

lts

Bioversity Delhi team

Co

nclu

sio

ns

1. Local learning has been fostered andaccelerated

2. Reliable, generalizable results havebeen obtained

3. Reduced costs comparing to otherparticipatory approaches

4. Simple nature of field experimentsmake upscaling possible

Ne

xt

ste

ps

1. ClimMob.net, a user-friendlyinformation platform to be launchedmid-2015 – GxE analysis

2. Input retail: suitable business models

3. Building capacity for implementation

4. Observe other variables and evaluatemore options / species

5. Target technological domains basedon needs analysis (farming systems,household analysis, nutrition)