Sentinel landscapes - Long term socio ecological research ... landscapes Long term socio ecological

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Transcript of Sentinel landscapes - Long term socio ecological research ... landscapes Long term socio ecological

  • Sent

    inel

    land

    scap

    es

    Long

    term

    soci

    o ec

    olog

    ical

    re

    sear

    ch si

    tes

    for F

    TA

    Anja Gassner, Tor Vagen, Mrigesh Kshatriya

  • CGIAR has the ability to undertake truly international and long-term research. Yet its research activities are not usually based on a common set of research instruments, making it difficult to collate comparative results and identify cross-national patterns (Stripe, 2009).

    Why?

  • Main Purpose Annex 4 Cross regional comparison Integrating Biophysical & Social

    data Long-term presence (~ 10 years) Co-locating research activities

    (share resources) Between Components With Partners With other CRPs

    Status June 2011

  • Learning from others CGIAR benchmark approach International Long-term Ecological Research (ILTER) International Forestry Resources and Institutions (IFRI) A Long-Term Biodiversity, Ecosystem and Awareness Research Network (ALTERNet) European network for a long-term forest ecosystem and landscape research

    programme (ENFORS) National Ecological Observatory Network (NEON) Alternatives to Slash and Burn (ASB) Tropenbos International (TBI) Poverty Environment Network (PEN) Tropical Ecology Assessment & Monitoring (TEAM) Smithsonian Tropical Research Institute (STRI) Rewarding the Upland Poor for Environmental Services (RUPES) Smithsonian forest networks (SIGEO/CTFS) World Bank Standard of living survey

  • Asia SL

  • Latin America

  • Evaluation of the landscapes

  • 2013 Thematic bound landscapes Geographically bound

    landscapes Tree observatory (CIRAD) Nicaragua/Honduras Oil Palm Value Chain Burkina Faso/Ghana

    Meta-analysis across regions

    Testing baseline methodology in 4 sentinel sites

  • What do we offer A framework to Provide hard evidence on key indicators

    important to FTA themes Standard protocols/modules for data

    collection Backstopping for data management/data

    mining/data analysis Tool to allow greater cohesion,

    interdependence and alignment of FTA themes both within as well across the landscapes we are working in

    Entry for partners to influence our impact pathways

  • Linking with other Networks

    Linking CRP6 Land degradation models with IFRI and CIRAD plot level data

  • Households (n= 1400) more likely to have fed all members through the year from home gardens and fields if they: Have fruit trees in homestead yard (odds ratio=2.8,

    p

  • Global Forest Cover Index

    Amazon - 2001 Amazon - 2011

    Tor V

    agen

    , Tho

    mas

    Gum

    bric

    ht, 2

    013

    Ecosystem monitoring indicators developed

  • Land Degradation Risk

    Tor V

    agen

    , Tho

    mas

    Gum

    bric

    ht, 2

    013

    Ecosystem monitoring indicators developed

  • Systematic methods for mapping of soil and ecosystem health at multiple scales

    Nyahururu, Kenya Mau Forest, Kenya

    2006

    1986

    Tor V

    agen

    , Tho

    mas

    Gum

    bric

    ht,

    201

    3 Ecosystem monitoring indicators developed

  • Maximum surface wetness index 2001 (MODIS) 2011 (MODIS)

  • Land health metrics - PEN villages in Africa

  • Institutional mapping Proof of concept Nicaragua Honduras SL Lead by Sandrine Freguin Gresh, CIRAD

  • Sentinel sites nested in sentinel landscapes

  • Sentinel Landscape Institutions

    National Census

    Sentinel Sites Land Health, Vegetation

    Villages Governance/ equity /livelihood

    HH livelihood

    Farm Trees, productivity

  • Landscape comparison

    1. Does a variation in Tree cover/Tree quality affect any of the four system level outcomes?

    reduction in poverty

    increased global food

    security

    improvement of nutrition.

    better management of

    natural resources.

    2. Which factors explain spatial and temporal variation of tree cover?

  • Core set of methods (all landscapes)

    Add on modules (selected landscapes)

    Does a variation in Tree cover/Tree quality affect any of the four system level outcomes?

    What explains spatial and temporal variation of tree cover and tree species in each landscape?

    Institutional mapping

    Inter-annual climate variation as Press factor Biodiversity

    On farm tree inventory Range land/pastures

    monitoring

  • Research Questions

    What are the institutional settings that ensure that utilisation of forest resource result in equal sharing of benefits?

    What are the enabling factors that make people value the ecosystem service of trees?

    What are the conditions that allow farmers to significantly capitalize on tree products?

  • CGIAR has the ability to undertake truly international and long-term research. Yet its research activities are not usually based on a common set of research instruments, making it difficult to collate comparative results and identify cross-national patterns (Stripe, 2009).

    Is it new?

    Slide Number 1Why?Main Purpose Annex 4Learning from othersSlide Number 5Asia SLLatin AmericaEvaluation of the landscapes2013What do we offerLinking with other NetworksSlide Number 12Global Forest Cover IndexSlide Number 14Systematic methods for mapping of soil and ecosystem health at multiple scalesMaximum surface wetness index Slide Number 17Slide Number 18Sentinel sites nested in sentinel landscapesSlide Number 20Slide Number 21Landscape comparisonSlide Number 23Research QuestionsIs it new?