PowerPoint Presentation Seminar 30 April 2019 - Wahana...Renn (2008) Risk governance: coping with...
Transcript of PowerPoint Presentation Seminar 30 April 2019 - Wahana...Renn (2008) Risk governance: coping with...
••
•
••
•
••
••
•
IBNU BUDIMAN, WAHANA 2.0
Reducing the material and political dimensions of peat vulnerability to fires
Bastoni, Litbang LHK (2019)
Institutional framework: Forum DPG?
SLIDE BRG HARIADI
Kartodiharjo, 2018; KPRGSS, 2018
MoEF
UPRGCoordination?
Synchronize, integrate
Simplify, technicality?
Indicative map for restoration priority,
KHG map
Villages Villages Concession holders
Mandate from president
Co-administration task to regions
Permit issuer
UPRG KHG landscape
-KHG & RTT are unknown by concession holder-Business plan is unknown by BRG
Domination of administration: lack of substantial coordination, output effectiveness?
Renn (2008) Risk governance: coping with uncertainty in a complex world. Earth scan,
London
The steering of the complex web of interdependent actors, rules, values and processes concerned with how relevant risk information is collected, analysed and communicated, and how management decisions are taken within a particular context (Renn, 2008).
Risk perceptionRisk
assessment & evaluation
Risk management & communication
Cultural, knowledge, Strategic-institutional,
political context
(Adapted from G. L. Simon and Dooling 2013)
Physical vulnerability
Social vulnerability
-
R1
R3
CONCEPTUAL FRAMEWORK
Peat firesPeat
regulation
Peat utilization
Sub RQ1Sub RQ3
Sub RQ4
2010-2014 2015-now
By UPRG
Govt, etc
Sub RQ2
•
•
•
•
Physical vulnerability
Social vulnerability
Physical vulnerability
Social vulnerability
2010-2014; before fires
2015-2016: fires & peat regulation
2017-2018: restoration
2019-2020; future
restoration
Vulnerability
Risk governance
*if possible
FGD, Interviews,
observation
Purposive (& snowball)
sample of relevant actors
Interviews, observation
Purposive (& snowball)
sample of relevant actors
Checkpoint: Data & info
assessment, adjustment
Phase 1:
Province
level
Phase 2:
Villages in
KHGs
Coding process
Chapter 4:
Vulnerability
analysis
Review soc-econ &
biophysics data
Chapter 5
Risk governance
analysis
Review of relevant documents, program/project reports
Human needs:
Livelihood
Human wants:
Plantation
Choice of practice:
Burning & drainage
Risk:Fires (+el Niño)
Outcome:Pollutants, Emission
Exposure:Haze,
climate change
Consequences:Health issues,
etc.
Modified needs and lifestyles
Alternative practices:
Zero burning (restoration)
fixed standards, integrated restoration
Early warning system
Socio-economic responses
Integrated Peatland
restoration
Causal sequence/chain or cycle?
Preventive action Reactive action
•
•
•
Adapted from Simon and Dooling (2013)
WRI Indonesia
2017
2018
•
•
•
•
•
•
•
•
•
•
•
•
•
•
FEEDBACK WRI SUMSEL
• FGD feat tim sumsel
• Check finding (MoM) research sonny-hani-rona, try to link it (RPJMN) > FGD
• Kordinasi masuk via tim sumsel, for introducing and knowing the ‘habit’
• Frame research with take and give to them (locals), link to RREG/RTT (frame that your research is pendalaman), link to PRIMS research etc > present in slides, just showing tangible things to them; output-concrete recommendation, to PRIMS, to TRGD
• Collab with researcher in sumsel (to be co-author, sosek litbang?)
•
•
•
•
•
•
•
NOTES TO DO
• Fgd approach; examine preliminary insights; pecah jadi group2 kecil(invite community, grouping per category topic list), not really kick off (don’t call it), need team sumsel to help
• FGD; 3CM (willy)?
• Data collection; two weeks; check with admin
• Interviews; conflict between neighbors about water resources
• Joint writing with mba eli; integrated restoration
• Hybrid approach of thematic analysis
• Hot spot as indicator degraded peat (PRIMS)
•
•
•
2017
2018
2019
KHG SibumbungKayuagung
KHG Saleh SugihanTulungselapan
Renkon?
RTT, RREG
LitbangLHK
Kemitraan, etc
R?PRIMS
BRG, 2016
ministry/BRG: creating SoP, regulation, coordination, synergy, law enforcement, facilitating
private sectors (concession holders & finance): planning, implementation,
consultant
donors: knowledge and financial supports
NGO/CSO: technical support, facilitating, knowledge transfer,
M&E, capacity building
local govt: planning, implementation, M&E, technical
support, facilitating
community: implementation, M&E,
local knowledge support
MULTI-STAKEHOLDERS IN RESTORATION
PLANNING AND IMPLEMENTATION IN LOCAL LEVEL
BRG to TRGD
TRGD is chosen by governor
div. planning & M-E
Bappeda, local agencies, NGO, UPT
div. construction & maintenance
local PU, local agencies, NGO, UPT
div. partnership
BPMD, local agencies, NGO, UPT
div. R2 & R3
local agriculture agency, NGO, UPT
BLHD
BRG, 2016
Types of area UPRG
Areas with permit for business,
plantation
Concession holders
Conservation KLHK, Dir. Of natural resources
conservationProtected forest, production
forest
KPHP and KPHL
Non-forest area Local government
Popp, J., Milward, H. B., MacKean, G., Casebeer, A., & Lindstrom, R. (2014). Inter-
organizational networks: a review of the literature to inform practice. IBM Center for the
Business of Government, 93-96.
•
•
•
➢
•
•
•
•
•
•
•
•
•
ENP, WUR
•
•
South Sumatera
Kayuagung UPRG: Litbang LHK, companies KHG 1
Institution Contact person Phone number Email NotesPT RambangLitbang LHK Bastoni and team Saved
Village govt Head of villageCommunity group Farmers
Pedamaran KHG 1Village govtCommunityUPRG?Applied to all villages
Disbun (local and provincial level) check name list ZSL
event/konsultasi publik
TRGD Syafrul, coordinator of expert team
BRG Dede, MyrnaBappeda, KPH? DLH, DPSDA Ones
Experts, academics Hariadi, local expert?
Vendor R (pokmas, contractual,
kemitraan)
Note from dede BRG
Tulung selapan UPRG: Companies, TP?
Village govt Kades Tulung seluang, lebung itam,
pokmas lebung gajah
Saved
Community gani demplot 081929283382Fasdes Oti (Tulung seluang), desmi (lb itam) 082282439426KPRGSS, etcPangkalan lambamLink from Stream 1
TO BRG
• My research fills this knowledge gap;
dis/connection between policy/governance
with local impacts
• https://www.antaranews.com/berita/81817
0/brg-akui-kebakaran-terjadi-pada-lahan-
gambut-intervensi
• Budget plan: – Transcription; external, (local) students/fasdes
– Souvenirs for interviewees; Komik gambut? Barang2 WRI
– Food? Notulen, absen
• Field work equipments; – Recorder, camera? mba firda
– Take photos and videos for peatland research
• Schedule of research seminar? April?, April field work for data collection?
• Feedback on (theoretical) content; make study group, biweekly discussion; choose external peer reviewer, share to mentors (preliminary findings) > present on next progress check in
• Join research in Kalteng (policy aspect to TEV), started in may
• Integrate with research zero burning practices? Check rona notes
RELEVANCE/IMPACT AND URGENCY OF RESEARCH
• Research about restoration management and governance is one of prioritized topic from BRG research needs (http://muse2.maverick.co.id/scannerapi/readblob/310391 )
• To fill knowledge gap about peatland management, to complement WRI research on peatland restoration
• To improve governance of restoration, reduce emission, achieve Indonesian NDC; finding local strategy to be upscaled to national plan
• This research includes element of reflexivity for stakeholders through temporal comparative study that involves four KHG in two provinces. Sequence of data collection such as interview will provide knowledge transfer about restoration management in different period and place.
• Generalizing result; Count vulnerability degree of peatland governance, change it through risk governance strategy, upscale it through policy recommendation to be applied in national level
SUPPORTING TOOLS & TRAINING
• Analysis tool; nvivo or atlas.ti > https://www.qsrinternational.com/nvivo/nvivo-products/nvivo-12-windows
• Needs for training? Software qualitative data analysis + courses
• Short courses; https://www.shortcoursesportal.com/studies/152127/wetlands-integrated-water-resources-management-and-food-security.html#content:contents ; https://www.un-ihe.org/wetlands-livelihoods-and-conservation-1 ; https://swampschool.org/ ; http://www.cpe.rutgers.edu/programs/wetlands.html
RESEARCH QUESTIONS
See Conceptual Framework
Main RQ How risk governance on peatland restoration can support emission reduction?Sub RQs • How did the performance of network governance on peatland restoration?
• What are the responses from UPRG stakeholders to restoration (planning)?
• What are the impacts of those responses toward physical and social condition
of PHU?
• How policymakers’ reaction to result of restoration can improve performance
of future restoration projects?
Restoration?
?
By UPRG &/ community
Govt
Restoration?
?
By UPRG &/ community
Govt
Villages in KHG 1 R 2017
Villages in KHG 2 R 2018
Biophysics & spatial data
Interview & observation Interview &
observationSoc-econ data Document review
Interview & observation
Document review
OPTIONAL DESTINATIONS FOR PUBLICATION
• http://www.turbaliit.ee/international-peatland-congress-2020/
• http://www.peatsociety.org/events
• Journal peat and mires; https://www.scimagojr.com/journalsearch.php?q=21100400829&tip=sid&clean=0
• Wetlands Ecology and Management: https://www.scimagojr.com/journalsearch.php?q=19431&tip=sid&clean=0
Pantaugambut
•
•
•
Willy DaeliWahana Riset Indonesia 2.0
Research Seminar 30 April 2019, WRI, Jakarta
Understanding Local Communities’ Mental Models On Sustainable Peat Management in Riau
• Kebakaran lahan gambut merepresentasikancomplex environmental governance issuesecara global dan nasional.
• Kerugian dari kebakaran lahan gambut yang meluas turut berkontribusi terhadap global greenhouse gas, penurunan kualitas hidup, ekonomi, dan kesehatan pada level local.
Kebakaran gambut di Riau
• Konsekuensi dari drainage peatlands disebabkan pertanian / perkebunan
• Konflik dan kompetisikepemilikan lahan
Introduction
Inisiatif pencegahan kebakaran
• Rewetting peat• Fire Danger Rating System
(FDRS)
• Penting untuk melihat akibat-akibatdari inisiatif yang ada, yang mengubah ecosystem goods and services dari peatland, dariperspektif local.
• Desain dan implementasi fire mitigation interventions perlu untukmelihat berbagai persepsi dan preferensi lokal.
>>>>>>>>>
>>>>
>>>>
>
LOCAL PERSPECTIVE
Mengkontekstualisasikan inisiatif-inisiatif pencegahankebakaran melalui ekplorasi perspektif komunitas
local dalam memahami solusi dan intervensi.
HUMAN-PEAT RELATION
Mental models framework untuk memahami hubungankontekstual human-peat dan bagaimana perubahan
kebiasaan pengelolaan lahan gambut mempengaruhiaspek social-budaya-ekonomi.
INTERVENTION MODEL
Mengidentifikasi model intervensi yang sesuai dan kesempatan serta hambatan
dalam implementasi intervensi (e.g., normasocial, skema insentif, aspek legal dan
governance, aspek kapasitas institusi, dll).
Purpose of the Research
Knowledge Outcomes:
(a) Analysis of the socio-ecological aspects of peat management as
well as fire mitigation practices through mental models inquiry in
target areas.
(b) Analysis of sustainable peat management practices policies,
regulations, and interventions including analysis of
effectiveness, reasons for failure and recommendations for
improvement.
Impact Outcomes:
a) Policy makers are informed about key areas where
intervention needs to improve.
b) Actions of local governments to incentivize communities to
practice sustainable agricultural practice on peat land.
Expected Outcomes
Research Questions
Second
Bagaimana mental models membentuk pemahamankomunitas-komunitas local tentang nilai dan manfaatdari gambut di lingkunganmereka?
Apa aspirasi-aspirasipengelolaan gambut yang berkelanjutan dariperspektif komunitaslokal?
Bagaimana mental models membentuk intensiterhadap intervensi atauinisiatif?
Bagaimana komponen-komponen dalam mental models komunitas-komunitas lokal saling berhubungan satu sama lain yang membentuk persepsi mengenai kesuksesan dan kegagalan dari intervensi atau inisiatif?
Mental models adalah framework yang digunakan individu atau kelompok untuk
memahami bagaimana lingkungan di sekitarmereka bekerja.
Mental models digunakan untuk memahami faktor-faktor yang mendukung atau menghambat inisiatif dan
intervensi pengelolaan lahan gambut berkelanjutan.
Penting untuk melihat koneksi antarkomponen untuk memahami decision-
making processes suatu kelompokmasyarakat dan respon terhadap
governance arrangements.
Komponen-komponen dalam mental models merupakan basis dari decision making
processes dalam Natural Resource Management (NRM).
Hal ini penting untuk membantu desainintervensi yang memperhatikan perbedaankebutuhan dari komunitas-komunitas lokal.
Mental Models
Komponen-komponen mental models dalam NRM: kosmos (belief system),
corpus (classification system), and praxis (management system).
• Untuk memahami bagaimana individu-individu dan kelompok-kelompokmemahami dan mengelola problem-problem berkaitan dengan NRM denganmenggunakan knowledge di dalamkognisi mereka.
• Metode grouping cards ini dapatmenggambarkan komponen-komponendi dalam mental models secara eksplisitmelalui proses grouping dan labelling.
MethodsMethod 1 : 3CM (Conceptual Content Cognitive Map)
• Wawancara kualitatif berfungsi sebagai pelengkapdata dan triangulasi data 3CM.
• Pertanyaan deskriptif digunakan dalam panduanwawancara untuk memungkinkan pewawancaramengetahui bagaimana informan mengaturknowledge dalam kognisi mereka.
MethodsMethod 2: Qualitative Interview
Data Analysis
3CM• Hierarchical cluster analysis
menggunakan Anthropac• Average similarity distance matrix
di antara 3CM data
Qualitative• Hybrid approach of thematic analysis
menggunakan MaxQDA/Nvivo• Kombinasi tema dari theoretical framework dan
tema dari data collection
3CM + Qual.Menggabungkan hasil analisis 3CM dengan hasil analisis kualitatif
1
2
3
April 2018 - April 2019
14,089 Fire Alerts
Hotspots in Riau
8456Bengkalis
1209Siak
85%Peatland
Source: Global Forest Watch
2 villages in Bengkalis
2 villages in Siak
Sampling Location
1i n f o r m a n t
1i n f o r m a n t
5i n f o r m a n t s
15i n f o r m a n t s
Kepala Adat (if any) Pengurus Desa/Adat Community Members
Non-probability sampling/Purposive sampling
Sampling Informants
88
Kepala Desa Total 4 Desa
i n f o r m a n t s
Thank you
Feedback session:• Research questions• Sampling location,
etc