Cambodia Final Presentation - EAF Spring 2013

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    Research Team

    Alan Kolata and Sabina Shaikh,University of Chicago

    John Felkner, Florida State UniversityMike Binford, University of FloridaMatti Kummu, Aalto UniversityPartners:

    Natural Capital Team, Stanford UniversityWinemiller Aquatic Ecology Lab, Texas A&M

    University

    Center for Khmer Studies, Cambodia

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    Study Region

    Watershed of MekongRiver Basin and TonleSap lake

    Ecological hotspotFlood-pulse systemNatural resources of lake

    support over 1 million

    livelihoods

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    Mekong Flood-Pulse System

    Tonle Sap-Mekong connection is acoherent hydrological unit

    Flow regime provides a way of lifefor a million people

    Flood-recession rice cultivation inthe Mekong and Tonle Sap floodplains, and highly productive lake

    fisheries exploit this hydrological

    seasonality Predictability and reliability is

    important but changing mostly dueto dams

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    Larger Project Research Questions

    Team is currently developing researchto address the following:

    1. What are the likely future land-use and climatescenarios for the region and how will the hydrological

    system be affected?2. What is the relationship between the hydrological

    system and the generation of ecosystem services forsustainable agricultural production?

    3. How do humans depend on and respond tochanges in ecosystem services in the region?

    4. What are the tradeoffs associated with alternativechoices for water sustainability?

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    Causes of Ecosystem ChangeHydropower Construction, Land Use, Climate Change, Other

    Changes in Ecosystem Function

    Hydrology, Flood Pulse

    Changes in Ecosystem Services:Water Supply, Water Regulation, Water Quality

    Biological Diversity, Habitat, Nutrient, Sediment RetentionSoil Retention, Disturbance Prevention

    Waste Treatment

    Benefits to Humans:Drainage/Natural Irrigation, Provision of Water for Consumptive Use

    Fishery Production Maintenance of Arable LandCrop Production, Land-Water Connectivity

    Erosion Control, Flood ControlCultural/Recreation Opportunity

    Human ResponseFishing Effort, Farming Effort

    Agricultural Inputs. Crop Composition

    Labor Inputs, Household BehaviorFinancial Assistance

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    Current Research Understand the current household composition anddependency on the water system Analysis of Household and Soil Survey Data collected by

    Binford, Kolata, Townsend team in 2005/6

    3 SurveysHousehold

    (2005)

    Key Informant(2005)

    Soil (2006)

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    Characteristics by Province

    UsingCombined

    HH plot

    Data

    Battambang KampongTHom

    Siem Reap OtdorMeanchy

    Non-rice

    Farmer

    208 129 78 55

    Rice farmer 170 362 459 528

    Percentage ofRice Farmers

    45% 74% 85% 91%

    Percentages may be overstated as this is just drawn from

    representative sample of people with plots

    Even more oversampled in Soil Survey

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    Rice Farming Incomes

    Battambang KampongThom

    Siem Reap OtdorMeanchy

    Mean income $6,600,000 $6,100,000 $4,200,000 $4,300,000

    TotalObservations

    378 491 537 583

    Mean RiceFarmer

    Income

    $6,300,000 $4,600,000 $3,800,000 $4,100,000

    Rice FarmerObservations

    170 362 459 528

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    How important is water access in DrySeason?

    Obs Mean

    Income

    Average effect on log

    income

    No wateraccess

    1969 $5,062,070

    Water access 448 $7,225,494 .1792 (p-value < 0.0001)

    As drought is the most frequent reason for incomeloss, water access is incredibly important

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    Log-income plot of water access

    Both follow approximately normal distributions Peaks of income distributions significantly different for water access

    0

    .2

    .4

    .6

    Density

    12 14 16 18 20logincome

    No Water Access

    Water Access

    kernel = epanechnikov, bandwidth = 0.1497

    Kernel density estimate

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    Data from Soil SurveyCombinedwith HH plot dataLower-resolution because only 533 data

    points

    Mainly draw ecological characteristics10% correlation between being by river

    and water access

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    Effects of being by a river

    Observations Mean Income Mean plot Value Mean Effect onLog Income

    By River 170 $6,877,401 $4,379,226 .135 (p

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    Chemical Fertilizer

    Chemical Fertilizer Usage has been risingsince the time of the survey

    Regressed on Fertilizer usage and wateraccess

    Log(Income)i= 14.97 [p

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    Overall Determination of Income

    Log Income = 12.76*** -

    0.399 {Rice Farmer}*** +

    0 .109 { Water Access}** +

    0.139 {Log(Land Value)}*** +

    0.0007 {Plot Size}*** +

    0.0827 {amount of Chemical Fertilizer}*** +

    0.118 {Number of plots}***

    R-squared: 24.5%

    *** denotes significance at 0.001 level** denotes significance at 0.01 level

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    Natural Disasters (Key Informant Survey)

    0

    5

    10

    15

    20

    25

    30

    DROUGHT FLOOD STORM CROP

    DISEASE

    FREQU

    ENCY

    TYPE OF DISASTER

    Number of Natural Disasters By

    Type of Disaster

    BATTAMBANG

    KAMPONG THOM

    SIEM REAP

    OTDOR MEANCHEY

    Province Number ofNatural

    Disasters

    Percent ofTotal

    KampongThom

    51 37%

    OtdorMeanchey

    33 24%

    Battambang 29 21%

    Siem Reap 24 18%

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    Different types of acquisitions of plothave different susceptibility to natural

    disasters Inherited plots significantly likely to lose income

    because of drought

    Plots acquired through Land Reform Programs likelyto lose income because of flood

    Plots that are purchased not significantly likely to loseincome from any natural disaster

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    Investigating flood susceptibility inKampong ThomKampong Thom has significantly higher

    rate of income loss by flooding

    Battambang Kampong

    Thom

    Siem Reap Otdor

    Meanchy

    Income loss byFlood

    13 78 23 7

    Income Lossby Drought

    116 87 132 203

    Plot floodOften?

    30 83 38 21

    Percentage ofplots that flood

    often

    26% 55% 28% 16%

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    Land Reform

    Land reform law in 2001 Intention was to redistribute land to villagers

    engaged in agriculture

    Sub-decree in 2005 to grant more land toindustrial and commercial landMany industrial gangs abusing system resulting

    in land grab

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    Land reform impacts

    On average, land reform program increased likelihood ofwater access from 17% to 26% (coefficient 0.303, p-

    value

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    Inherited Land

    Affects log-income negativelyat -.278[p

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    Next (small) steps

    Take into account financial data and assetsCombine with key informant surveySpatial analysis using ArcGIS

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    Next (large) Steps

    Further analysis of existing data plus datafrom external sources

    Team will begin physical/natural ecosystemmodeling

    Team will set up sites for further socialscience research through surveys andexperiments

    Team will integrate physical/natural/socialscience models for a more holistic view ofchange, response and adaptation