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Landscape Approaches to Future Forest
                 and Tree Resources Management
                     IUFRO-FORNESSA Meeting, Nairobi, June 2012




                          Tony Simons, Director General, ICRAF
                                   With contributions from:
                     Meine van Noordwijk, Peter Minang, Valentina Robiglio,
                         Keith Shepherd, Anja Gassner and Ravi Prabhu
Photo: INBAR China
Abdou Salam Ouedraogo
     1957 - 2000
Landscape Approaches with Forest and Trees

1. What is a landscape?

2. A Portrait of Forests and Trees

3. What problems are we tackling?

4. Landscape Approaches
1. What is a Landscape?

Landscape comprises the visible features of an
area of land, including:

• physical elements of landforms such as
  mountains, water bodies, vegetation
• human elements including different forms of
  land use, buildings and structures, and
• transitory elements such as lighting and
  weather conditions.

(from Wikipedia, 2012)
1. What is a Landscape? (cont.)
5th Century     - landscaef (England) & landscahft (Germany)
                - small administrative units of land (natural and human made)

16th Century    - Dutch painter’s term (Bruegel)
                - bird’s eye viewpoint of Flemish countryside

1930s           - domain of geography, subset of region (Hartshorne)


1970s           - transition of natural to human landscapes
                - Meinig combined the physical and human perceptions
                "landscapes are not only what lies before our eyes
                                          but what lies within our heads."
1. Recent political exposure
0     Rio - 20 (Stockholm , Earth Summit, 1972)


(1)   Rio     (Rio de Janiero, UNCED, 1992)


0     MDGs    (New York, UN General Assembly, 2000)


0     Rio +10 (Johannesburg, WSSD, 2002)


0     Rio +20 (Rio de Janiero, UNCSD, 2012)
Agriculture        - 6 mentions

Forest             - 35 mentions

Land Manag/Degrad - 12 mentions
Rio Dialogues
   10,000 ideas from civil society
   Clustered to top 100 actions
   1.3 million voted on-line

Take concrete steps to eliminate fossil fuel subsidies
  66.1%


Restore 150 million ha of deforested and degraded lands by 2020
  34.6%


Secure water supply by protect biod, ecosystems and water sources
  34.2%
(Landscape)




(Close your eyes)
Agroforests
                          Fields,fallow, forest mosaic




Integrate
       deforestation                re- and afforestation




                                 Plantations
            Fields,
            Forests
            & Parks

Segregate
2. A Portrait of Forests and Trees
Choosing a forest definition
          for the CleanCLIMATE CHANGE WORKING PAPER 4 – 2006
                FORESTS AND
                            Development Mechanism
                     http://www.fao.org/forestry/media/11280/1/0/



For the CDM, developing countries must choose the
  parameter values from the ranges: “Forest” is a
  minimum area of land of 0.05-1.0 hectares with
  tree crown cover (or equivalent stocking level) of
  more than 10-30 per cent with trees with the
  potential to reach a minimum height of 2-5 meters
  at maturity in situ.
50
                           The relationship between tree crown cover and ability
           40              to add extra carbon looks something like this.

Opportunity
      for   30
incremental
   carbon
    (t/ha) 20


           10



                 10   20     30   40   50   60    70   80    90   100

                                        % tree crown cover
Lower and upper limits for
                                           CDM A/R
           50


           40
                                     National governments can set their
Opportunity                          forest definition as tree cover
      for   30                       minimum threshold between
incremental                          10% and 30%
   carbon
    (t/ha) 20


           10



                 10   20   30   40   50   60   70    80   90    100

                                     % crown cover
AR
                  at
                 10%

           50
                                     Avoided deforestation at 10%

           40

Opportunity
      for   30
incremental                                                 REDD
   carbon
    (t/ha) 20                              Avoided deforestation at 30%

                  CDM A/R
           10
                 Aff/Reforestation
                      at 30%


                   10    20    30    40   50   60    70   80    90   100

                                          % crown cover
10%                                       20%




6700 km2 = 2.8% of land area           36,000 km2 = 14.9% of land area

                               30%

    Implications
    of forest
    definition 1-
    A/R Uganda

                                                        Zomer et al. 2008

                      69,300 km2 = 28.6% of land area
Land suitable for CDM Afforestation
according to tree canopy cover as forest definition




                  % increase         Difference
                  from 10-30%        (hectares)
Cote d’Ivoire          1583%           7.7 million

Ghana                  1063%           6.8 million

Nigeria                446%           19.5 million
Any signs of deforestation?



        ….are included under forest, as are
         areas normally forming part of the
          forest area which are temporarily
             unstocked as a result of human
         intervention such as harvesting or
     natural causes but which are expected
                         to revert to forest;
                  [FCCC/CP/2001/13/Add.1]
Adams J.M. & Faure H. (1997) (ed.s), QEN members. Review and Atlas of Palaeovegetation: Preliminary land
ecosystem maps of the world since the Last Glacial Maximum. Oak Ridge National Laboratory, TN,
Adams J.M. & Faure H. (1997) (ed.s), QEN members. Review and Atlas of Palaeovegetation: Preliminary land
ecosystem maps of the world since the Last Glacial Maximum. Oak Ridge National Laboratory, TN,
The foresters’ view of the world
The agroforestry view of the world
The integrated view of the world
Global tree cover inside and outside forest, according to the Global Land Cover 2000
dataset, the FAO spatial data on farms versus forest, and the analysis by Zomer et al.
(2009)
Guiding Paradigms
Spatial analysis: classification of 450 districts in Indonesia according to 7
            tree cover transition stages (Dewi et al., in prep.)
                                                                        31
Indonesia’s forest loss by land-use category


 Forest Use Class                     % area                    Loss during 2000-2005
                                                    t C ha-1 yr-1      % yr-1       % total
                                                                                   emissions
 Protected Forest                       26.7%            2.01          0.90%            20%
 Production Forest                      31.8%            3.28          1.80%            39%
 Convertible                             9.6%            3.07          1.87%            11%
 “Non-forest”                           31.9%            2.57          3.33%            30%
 TOTAL                                                   2.69           1.70




(Source http://www.worldagroforestrycentre.org/sea/ALLREDDI)
Number of described species for major groups of
                   organisms as proportions of global total

             Nematodes - 0.9%                           Fungi - 4.2%                       Algae - 2.4%




                                                         Arthropods
                                                           64.5%
Protozoans - 2.4%                                                                             Vertebrates - 2.7%




                           Molluscs - 4.2%                              Plants - 14.3%
                                                                   25% are woody species

                                                                                 Bacteria - 0.2%
                    Viruses - 0.3%                  Other invert - 3.9%



   Source: I. Koziell (2001) Diversity not Adversity, IIED, 58pp
Tree Products and Tree Services
A. Trees for Products




  fruit         firewood      medicine    income      sawnwood       fodder


B. Trees for Services




    soil         carbon          soil    watershed      shade    biodiversity
  fertility   sequestration    erosion   protection
• Increased production of
  timber and fuelwood on-
  farm and in rotational wood-
  lots can potentially reduce
  emissions from forest
  degradation especially in
  instances of restricted
  access to forests or limited
  supply in “open access”
  forests.
Traditional Medicine in Sub-Saharan Africa
  80% of people use traditional medicine
3. What problems are we tackling?




  Los Angeles           Cairo City          Developing countries
city commuters          populace             rural poor/hungry



  Differentiated problems? or interlinked global challenges?
Temporal Scale
Ecosystem processes

Lifespan timber tree

Lifespan atmosph CO2

Human lifespan

Time to project impact

Political Term

Project duration

Cropping season


                         0     1             10             100   1000
                                   Log Scale Time (years)
Adjudicated Land

              Adjudicated
              under the Land
              Adjudication Act
              CAP 284 1968,
              intensive
              smallholder
              cultivation with
              clear freehold title
Unadjudicated Land



            Unadjudicated land,
            no firm legal title
Economic, Environmental and Social                   Tenure
                                    Unadjud Freehold
Impacts                                              Effect
Net returns to land ($ ha-1 y-1)     $126     $288    2.28
Woody crops, woodlots etc (ha km-2)   5.4     25.6     4.7
Hedgerows (km km-2)                   5.2     23.6     4.5
Social cost from embedding           -$40      $30     $70
Social "tax"                         -32%     +10%




(Norton-Griffiths et al., 2012)
Redirecting development pathways
 towards environmental integrity

                    Positive incentives are needed
                    to reward rural poor for the
                    environmental services they
                    can/do provide
The amount of support that govts
                                              will need to provide by the year 2030
                                             to enable farmers to implement
                                             SLM practices are projected at:

                                             US $20 billion in Africa,
                                             US $41 billion in Latin America,
                                             US $131 billion in Asia.




World Bank (2012) World Bank, Washington, 118p.
Basic problem
There is a lack of coherent and rigorous
sampling and assessment frameworks
that enable comparison of data (i.e.
meta-studies) across a wide range of
environmental conditions ... and scales




Quantification and systematic monitoring are essential to understand and
manage trade-offs among ecosystem services and know where are the tipping
points
Land Health Surveillance
Towards evidence-based decision making
for sustainable agricultural intensification
                                                                                        Vagen




        Land Health - the capacity of land to sustain delivery of essential ecosystem
        services (the benefits people obtain from ecosystems)

Concepts, methods, technology, protocols, & tools to help apply the
type of scientific rigour that exists in public health surveillance to
measurement and management of agro-ecosystem health at multiple
scales
Surveillance science
      Land health metrics
   Sentinel sites
   Randomized sampling schemes



                                                                 Consistent field
                                                                 protocol




                                            Coupling with remote
Prevalence, Risk factors, Digital mapping   sensing            Soil spectroscopy
Ethiopia Soil Information System
          EthioSIS is adopting a new, innovative
          technological approach that allows for
          quick, high-resolution coverage of the
          country, combining remote sensing data
          and ground tests
Mapping soil carbon stocks in landscapes


                                                      UNEP Carbon
                                                      Benefits
                                                      Project:
                                                      Measurement
                                                      tools




Soil organic carbon stocks within a 10 x 10 km sentinel site in western
Kenya mapped by statistical modelling of ground data to satellite
spectral bands
                                                  The effect of cloud is masked as no data
                                                                                             5
                                                                                             6
4. Landscape approaches
Biomolecules in Green Development




C55H72O5N4Mg




                            Chlorophyll
LANDSCAPE CONCEPT AND LANDSCAPE APPROACH


                                                                      Production


                                               Ecosystem services            Biodiversity
         Institutions
                                                              Carbon sink and sequestration
                  Livelihoods strategies

             policy                                                     System resilience



    landscapes as spatially heterogeneous geographic areas characterized by diverse
    interacting patches or ecosystems
    Landscape approach is necessary to deal at the same time with production,
    biodiversity, ecosystem services and functions, livelihoods strategies, policy and
    institutions across scales.
    The landscape approach is particularly valuable to create an understanding in the
    complex (competing) interrelationships between resource use and users across
    scales.
HUMAN LANDSCAPES

    Land units as non-interacting aggregates
    Economic or social synergies not accommodated
    Social processes across land uses ignored or aggregated




Ghazoul, ISPC Meeting, 2011)
REDD+

plus what?

People?
Water?
Biodiversity?
Landscape?
The Challenges of REDD
1. Market alone won’t solve deforestation problem
2. Carbon only part of picture (water, habitat, biodiversity, services)
3. MRV needs to be independent of government
4. Handling cross-sectoral/ministerial issues
5. Controversy over rights to pollute, displacement of emissions
6. Opportunism of carbon cowboys
7. Definition and inclusion problems of tree, forest
8. Asynchronous forest laws, agrarian reform, land tenure
9. Land-use/land-cover conundrum
10. Bundling protection forest, production forest, conversion forest, (non-forest)
11. REDD is only partial accounting
12. Low capacity/compliance of fpic, indigenous rights, social safeguards
13. Baselines versus reference levels
14. Emissions embedded in trade
15. Stock:emission rate ratios are lowering (time pressure to act)
16. All actors believe most finance should go to them
ACTORS and FINANCING


               MAIN ACTORS               % Finance
National Governments                       90%
Brokers/Investors                          90%
MRV, compliance                            90%
Implementers, Managers, NGOs               90%
Stewards, communities                      90%
                                 TOTAL     450%
ACTORS and FINANCING (cont.)


               MAIN ACTORS                % Finance
National Governments                        25%
Brokers/Investors                           15%
MRV, compliance                             15%
Implementers, Managers, NGOs                20%
Stewards, communities                       25%
                                  TOTAL     100%
ACTORS and FINANCING (cont.)


                MAIN ACTORS                       % Finance   Source of
                                                               Finance
National Governments                                    25%     ODA
Brokers/Investors                                       15%   Market
MRV, compliance                                         15%   Market
Implementers, Managers, NGOs                            20%   Market
Stewards, communities                                   25%     ODA
                                        TOTAL       100%


  -   50:50 financed by market and ODA
  -   MRV independent of Govt
  -   Govt and communities less vulnerable
  -   Govts need to function for market to trust them
• Agroforestry,
  Afforestation and
  Reforestation can be
  part of REDD+
  depending on the
  definition of forest in
  a given country
Ellison D, Futter MN,
   % of rainfall derived from ‘short cycle’                                    Bishop K, 2011.On the
                                                                               forest cover–water
  terrestrial origins(recalculated from Basilovich et al.)                     yield debate: from
                                                                               demand- to supply-

     37%               58%                   30%                68%
                                                                               side thinking. Global
                                                                               Change Biology, doi:
                                                                               10.1111/j.1365-
                                                                               2486.2011.02589.x




Approximately a
  third comes
  from ‘local’
                                                                                      42%
    sources


          40%                                                              22%
                                       41%                46%
  1) Mackenzie river basin, 2) Mississippi river basin, 3) Amazon river basin, 4) West Afri-ca, 5)
 Baltics, 6) Tibet, 7) Siberia, 8) GAME (GEWEX Asian Monsoon Experiment) and 9) Huaihe river
                                               basin.
Global circulation patterns of humidity in the atmosphere suggsts a
strong link between West Africfan rainfall and the recycling of rain-fall
back to the atmosphere in East Africa & Nile basin; this suggests very
different geopolitics to carbon-based global climate negotiations




                                                      van der Ent RJ, Savenije
                                                      HHG, Schaefli B, Steele‐
                                                      Dunne SC, 2010. Origin
                                                      and fate of atmospheric
                                                      moisture over
                                                      continents. Water
                                                      Resources Research 46,
                                                      W09525,
Dryland agricultural areas where more than 50% of
         rainfall is derived from terrestrial recycling




                         Sahel




Keys PW, van der Ent RJ, Gordon LJ, Hoff H, Nikoli R and Savenije HHG,
2012. Analyzing precipitationsheds to understand the vulnerability of
rainfall dependent regions, Biogeosciences, 9, 733–746
Enhanced EL means increased precipitation
                   250                                                                          Ring w idth
                                                                                                Rain season prec.
                                                                                                                            150




                                                                                                                                   ainy season prec. (m )
                                                                                                                                                       m
                  200                                                                                                       130
 ing idth index




                  150                                                                                                       110
R w




                  100                                                                                                       90




                                                                                                                                  R
                   50                                                                                                       70


                    0                                                                                                       50
                        1937


                               1942


                                      1947


                                             1952


                                                    1957


                                                           1962


                                                                  1967


                                                                         1972


                                                                                  1977


                                                                                         1982


                                                                                                1987


                                                                                                       1992


                                                                                                              1997


                                                                                                                     2002
Empirical data: research by Aster Year
Gebrekirstos c.s. showed intra-                                                 Three ‘drought’ indicators:
annual variation in O16/O18 ratio in                                             Ringwidth
growth                                                                           C12/C13 carbon isotope ratiops
rings in the Sa-                                                                indicative of stomatal closure
hel, indicative                                                                  O16/O18 oxygen isotope ratios
of ‘short cycle’                                                                indicative of stomatal closure +
rain in 2nd part                                                                ocean/terrestrial origin of rainfall
of growing sea-
son
100
             No. of households facing shortage
                                                                                                            Zambia
                                                  80
                                                                   Hungry/cropping                          Malawi
                                                  60                   season

                                                  40

                                                  20                                               Harvest/off-
                                                                                                     season
                                                  0
Tree Species                                           Oct   Nov   Dec    Jan    Feb   Mar   Apr     May    Jun   Jul   Aug   Sep
Avocado

Citrus

Parinari curatellifolia

Mangoes

Uapaca kirkiana

Strychnos cocculoides

Syzygium cordatum

Annona seneghalesis

Azanza garckeana

Flacourtia indica

Vangueria infausta

Vitex doniana

Adansonia digitata

Ziziphus mauritiana
New Cultivar Development
                    (Uapaca kirkiana)




                    A superior cultivar (fruited after 4 yrs.)




Variations




                      Earlier fruiting, bigger fruits, heavy fruit
                      loads, smaller trees and uniform quality
Case Study: Cocoa Rehabilitation




Palopo Cocoa Centre, Sulawesi
~40 identified QTLs
         1                                2                       3     cir120                 4                           5
  0.0        cir184             0.0           cir252
                                                        0.0
                                                        2.1
                                                                        cir150
                                                                        cir153
                                                                                     0.0
                                                                                     1.5
                                                                                                   cir242
                                                                                                   cir234
                                                                                                                    0.0
                                                                                                                    0.3
                                                                                                                                   WRKY-10
                                                                                                                                   cir111
                                                                                                                                                    in cacao
                                5.1           cir19     3.8             cir198       3.8           cir241           1.3            cir232
                                                        5.4             TIR2         5.1           cir233           2.1            cir119
                                9.2           cir240    9.6             cir146                                      5.2            shrs37
11.6         cir161                                                                  9.4           Tce195
             cir118            16.0           cir3     10.7             cir21       11.2           cir117           7.4            shrs12
15.7         cf974239          20.9           Tce089   10.9             cir192      14.5           cir33            7.6            shrs11
                               23.4           cir129   11.6             cir62       14.8           cir237          13.5            cir148
                                              shrs21   12.3             cir40       20.6           cir95           18.2            shrs22
                               23.8           shrs6    13.9             cir247                                     21.5            cir10
                                                                                    23.3           shrs33                                          Witches’ Broom
             cir143            32.3           ca797995 17.0             cir204      26.2           cir32           26.1            Tce030
28.9         cir159                                                                                                                cir196
                               37.4           cir268   19.5
                                                       21.6
                                                                        Tce380A
                                                                        cir180
                                                                                    32.0           cir43           26.8            cir123          Resistance
                                              cir152                                34.2           cir12
                               38.5           shrs13   31.4             cir175                                     27.7            cir42
 39.4        cir102                                                                                                31.5            cir169
 45.0        WRKY-14                                   39.6             cir280
                                                                                                                                   cir149
                                                                                                                                                   Frosty Pod
 46.5        cir29             48.5           cir60    40.6             cir289                                     39.8
51.0          cf972885         50.1           cir139   42.0             cir78                      cir213
                                                                                                                                   cir256          Resistance
                                              cir165   45.4             cir263      48.6                           40.7            cir170
 53.3        cir249            51.3           shrs2                                                cir206          47.7            shrs19
 54.7        shrs3                                     48.0             cir219
                               57.7           cir162   63.6             cir254                                     48.8            cir245          Pod Weight
 60.4        cir244                                                                                                                cir69
 61.1        shrs23                                    63.9             cir135      59.4           Tce380          49.1
                                                       64.1             cir128                                                     WRKY-11
 62.7        cir246                                                                                                52.3            TIR4
 65.8        cir273                                    66.4             cir140
                               70.5           cir48    70.1             shrs7                                      52.6            TIR3            Pod Number
 68.4        cir286                                                                                                63.7            shrs4
 69.0        shrs34                                    70.4             shrs5                                      67.6            cir87
                                                                        cir226                                     73.0            cir80
                                                       70.8             cir131      75.3           cir115
 80.1        Tce574            85.4           cir230   71.4             cir202                                                     cir109          Trunk Circumference
                               86.1           cir228   72.1             cir144                                     84.9            cir101
                               88.0           WRKY-03 73.0              ca798018                                   85.3            cir274
87.7         cir275                           cir68
89.9         cir264            93.5           cir261
                                                       79.5             cir81              9
93.5         cir22                            cir73
                                                       91.6             ca795469                                                                   Jorquette Height
                          100.5                                                    0.0         cir79
97.0         RGH11                            cir269                               3.4         cir85                 10
             cir194
                                                                                                             0.0          cir37                    Bean Length
                                                                                                             4.7          cir223
                                                                                                            11.2          RGH7                     Pod Number & Wet
         6                            7                       8                24.0            cir64
                                                                                                            13.4          RGH8
                                                                                               cir98                                               Bean Weight
   0.0       cir6        0.0              ca972846                             24.8            cir283
                                                        0.0           cir103
   1.5       cir136      1.7              cir186        3.0           cir134                                23.3          cir61
   5.4                                    cir277                               32.8            cir212
                         3.2                            5.4           cir189                   RGH2                                                Frosty Pod Resistance
  10.5       cir53                        cir116                               36.4            cir58
                       4.4                cir179       13.5           Tce487                                40.6          cir104                   & Wet Bean Weight
                       5.7                cir177       16.8           cir26    45.0            cir8         41.3          cir155
                       8.0                cir147                               47.5            cir178
                      10.2                cir55        23.0           cir200
  32.2       cir71    12.4                cir56                                55.2            cir160
  34.3       cir276
                                          cir46                                58.0            cir157   57.8              cir229             Black Pod
  34.7                16.6                                            cir211   60.5            cir35
  37.4       cir25                        cir181       33.3           shrs20
                      22.8                RGH4         35.2           cir225   67.0            cf972909
                      26.1                RGH5                                 68.5            cir24
  54.3       cir209   33.1                cir13                                73.3
                                                                               74.1
                                                                                               cir251
                                                                                               cir30
                                                                                                                                             Bean Weight, Bean Thickness,
                      37.4                RGH1         45.1           cir282
  57.9       cir9
                      43.7                cir190
                                                                               79.5            cir166                                        Pod Weight & Pod Length
  59.9       cir291                                    51.1           cir1     83.2            cir250
                      44.1                cir141                               86.0            cir126
                                                                               88.1            cir108                                        Bean Length, Seed Weight,Ovule
                                                                               88.6            cir266
                                                                               94.6            cir72                                         Number, & Trunk Circumference
                                                                                               cir287
                                                                               95.4            cir243
-   Resolution 30m x 30m
-   Based on 280 (56 x 5) ground truthed cocoa locations
-   Maximum likelihood classifier spectral landcover reflectance probability using ENVI
Project Vision for Change (V4C)




First flowers after 5 months
                                 First pod at 9 months
Capacity building and mobilisation:
State of our national partners HQ in Abidjan, August 2011
A growing on-farm domestic timber sector in
                     Cameroon (Ghana, Sri Lanka, Kenya????)…

              3.0
Millions m3




              2.0




              1.0




              0.0
                2000              2005             2010


                         Official production
                         SSL informal production

                                                          Robiglio, V. et al. 2011. Submitted to
Once SSL production is included the overall               Small Scale Forestry .
value of national timber production doubles!
                                                                                           81
eastern
western




                    Fort Tenan
Components:
1. Global Review
2. International Forum (March 12-16, 2012)
                           FFAOFAO
3. Action and Advocacy
Sentinel landscapes –CGIAR long-term
research network under CRP6
 To strengthen CGIAR’s impact; in the past
  our research activities were not usually
  based on a common set of research
  instruments, and long term horizon
 Initial selection of 6 landscapes in Africa,
  Latin America, South East Asia
 Selection driven by CRP6 research
  hypothesis
 Cross regional comparison
 Standard network protocols & data sharing
  policies
 Long term presence
 Platform for co-locating research

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Landscape Approaches to Future Forest and Tree Resources Management

  • 1. Landscape Approaches to Future Forest and Tree Resources Management IUFRO-FORNESSA Meeting, Nairobi, June 2012 Tony Simons, Director General, ICRAF With contributions from: Meine van Noordwijk, Peter Minang, Valentina Robiglio, Keith Shepherd, Anja Gassner and Ravi Prabhu Photo: INBAR China
  • 2. Abdou Salam Ouedraogo 1957 - 2000
  • 3. Landscape Approaches with Forest and Trees 1. What is a landscape? 2. A Portrait of Forests and Trees 3. What problems are we tackling? 4. Landscape Approaches
  • 4. 1. What is a Landscape? Landscape comprises the visible features of an area of land, including: • physical elements of landforms such as mountains, water bodies, vegetation • human elements including different forms of land use, buildings and structures, and • transitory elements such as lighting and weather conditions. (from Wikipedia, 2012)
  • 5. 1. What is a Landscape? (cont.) 5th Century - landscaef (England) & landscahft (Germany) - small administrative units of land (natural and human made) 16th Century - Dutch painter’s term (Bruegel) - bird’s eye viewpoint of Flemish countryside 1930s - domain of geography, subset of region (Hartshorne) 1970s - transition of natural to human landscapes - Meinig combined the physical and human perceptions "landscapes are not only what lies before our eyes but what lies within our heads."
  • 6. 1. Recent political exposure 0 Rio - 20 (Stockholm , Earth Summit, 1972) (1) Rio (Rio de Janiero, UNCED, 1992) 0 MDGs (New York, UN General Assembly, 2000) 0 Rio +10 (Johannesburg, WSSD, 2002) 0 Rio +20 (Rio de Janiero, UNCSD, 2012)
  • 7. Agriculture - 6 mentions Forest - 35 mentions Land Manag/Degrad - 12 mentions
  • 8. Rio Dialogues 10,000 ideas from civil society Clustered to top 100 actions 1.3 million voted on-line Take concrete steps to eliminate fossil fuel subsidies 66.1% Restore 150 million ha of deforested and degraded lands by 2020 34.6% Secure water supply by protect biod, ecosystems and water sources 34.2%
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. Agroforests Fields,fallow, forest mosaic Integrate deforestation re- and afforestation Plantations Fields, Forests & Parks Segregate
  • 17. 2. A Portrait of Forests and Trees
  • 18. Choosing a forest definition for the CleanCLIMATE CHANGE WORKING PAPER 4 – 2006 FORESTS AND Development Mechanism http://www.fao.org/forestry/media/11280/1/0/ For the CDM, developing countries must choose the parameter values from the ranges: “Forest” is a minimum area of land of 0.05-1.0 hectares with tree crown cover (or equivalent stocking level) of more than 10-30 per cent with trees with the potential to reach a minimum height of 2-5 meters at maturity in situ.
  • 19. 50 The relationship between tree crown cover and ability 40 to add extra carbon looks something like this. Opportunity for 30 incremental carbon (t/ha) 20 10 10 20 30 40 50 60 70 80 90 100 % tree crown cover
  • 20. Lower and upper limits for CDM A/R 50 40 National governments can set their Opportunity forest definition as tree cover for 30 minimum threshold between incremental 10% and 30% carbon (t/ha) 20 10 10 20 30 40 50 60 70 80 90 100 % crown cover
  • 21. AR at 10% 50 Avoided deforestation at 10% 40 Opportunity for 30 incremental REDD carbon (t/ha) 20 Avoided deforestation at 30% CDM A/R 10 Aff/Reforestation at 30% 10 20 30 40 50 60 70 80 90 100 % crown cover
  • 22. 10% 20% 6700 km2 = 2.8% of land area 36,000 km2 = 14.9% of land area 30% Implications of forest definition 1- A/R Uganda Zomer et al. 2008 69,300 km2 = 28.6% of land area
  • 23. Land suitable for CDM Afforestation according to tree canopy cover as forest definition % increase Difference from 10-30% (hectares) Cote d’Ivoire 1583% 7.7 million Ghana 1063% 6.8 million Nigeria 446% 19.5 million
  • 24. Any signs of deforestation? ….are included under forest, as are areas normally forming part of the forest area which are temporarily unstocked as a result of human intervention such as harvesting or natural causes but which are expected to revert to forest; [FCCC/CP/2001/13/Add.1]
  • 25. Adams J.M. & Faure H. (1997) (ed.s), QEN members. Review and Atlas of Palaeovegetation: Preliminary land ecosystem maps of the world since the Last Glacial Maximum. Oak Ridge National Laboratory, TN,
  • 26. Adams J.M. & Faure H. (1997) (ed.s), QEN members. Review and Atlas of Palaeovegetation: Preliminary land ecosystem maps of the world since the Last Glacial Maximum. Oak Ridge National Laboratory, TN,
  • 27. The foresters’ view of the world
  • 28. The agroforestry view of the world
  • 29. The integrated view of the world Global tree cover inside and outside forest, according to the Global Land Cover 2000 dataset, the FAO spatial data on farms versus forest, and the analysis by Zomer et al. (2009)
  • 31. Spatial analysis: classification of 450 districts in Indonesia according to 7 tree cover transition stages (Dewi et al., in prep.) 31
  • 32. Indonesia’s forest loss by land-use category Forest Use Class % area Loss during 2000-2005 t C ha-1 yr-1 % yr-1 % total emissions Protected Forest 26.7% 2.01 0.90% 20% Production Forest 31.8% 3.28 1.80% 39% Convertible 9.6% 3.07 1.87% 11% “Non-forest” 31.9% 2.57 3.33% 30% TOTAL 2.69 1.70 (Source http://www.worldagroforestrycentre.org/sea/ALLREDDI)
  • 33. Number of described species for major groups of organisms as proportions of global total Nematodes - 0.9% Fungi - 4.2% Algae - 2.4% Arthropods 64.5% Protozoans - 2.4% Vertebrates - 2.7% Molluscs - 4.2% Plants - 14.3% 25% are woody species Bacteria - 0.2% Viruses - 0.3% Other invert - 3.9% Source: I. Koziell (2001) Diversity not Adversity, IIED, 58pp
  • 34. Tree Products and Tree Services A. Trees for Products fruit firewood medicine income sawnwood fodder B. Trees for Services soil carbon soil watershed shade biodiversity fertility sequestration erosion protection
  • 35.
  • 36.
  • 37.
  • 38.
  • 39. • Increased production of timber and fuelwood on- farm and in rotational wood- lots can potentially reduce emissions from forest degradation especially in instances of restricted access to forests or limited supply in “open access” forests.
  • 40.
  • 41. Traditional Medicine in Sub-Saharan Africa 80% of people use traditional medicine
  • 42. 3. What problems are we tackling? Los Angeles Cairo City Developing countries city commuters populace rural poor/hungry Differentiated problems? or interlinked global challenges?
  • 43. Temporal Scale Ecosystem processes Lifespan timber tree Lifespan atmosph CO2 Human lifespan Time to project impact Political Term Project duration Cropping season 0 1 10 100 1000 Log Scale Time (years)
  • 44. Adjudicated Land Adjudicated under the Land Adjudication Act CAP 284 1968, intensive smallholder cultivation with clear freehold title
  • 45. Unadjudicated Land Unadjudicated land, no firm legal title
  • 46.
  • 47. Economic, Environmental and Social Tenure Unadjud Freehold Impacts Effect Net returns to land ($ ha-1 y-1) $126 $288 2.28 Woody crops, woodlots etc (ha km-2) 5.4 25.6 4.7 Hedgerows (km km-2) 5.2 23.6 4.5 Social cost from embedding -$40 $30 $70 Social "tax" -32% +10% (Norton-Griffiths et al., 2012)
  • 48. Redirecting development pathways towards environmental integrity Positive incentives are needed to reward rural poor for the environmental services they can/do provide
  • 49.
  • 50. The amount of support that govts will need to provide by the year 2030 to enable farmers to implement SLM practices are projected at: US $20 billion in Africa, US $41 billion in Latin America, US $131 billion in Asia. World Bank (2012) World Bank, Washington, 118p.
  • 51.
  • 52. Basic problem There is a lack of coherent and rigorous sampling and assessment frameworks that enable comparison of data (i.e. meta-studies) across a wide range of environmental conditions ... and scales Quantification and systematic monitoring are essential to understand and manage trade-offs among ecosystem services and know where are the tipping points
  • 53. Land Health Surveillance Towards evidence-based decision making for sustainable agricultural intensification Vagen Land Health - the capacity of land to sustain delivery of essential ecosystem services (the benefits people obtain from ecosystems) Concepts, methods, technology, protocols, & tools to help apply the type of scientific rigour that exists in public health surveillance to measurement and management of agro-ecosystem health at multiple scales
  • 54. Surveillance science Land health metrics Sentinel sites Randomized sampling schemes Consistent field protocol Coupling with remote Prevalence, Risk factors, Digital mapping sensing Soil spectroscopy
  • 55. Ethiopia Soil Information System EthioSIS is adopting a new, innovative technological approach that allows for quick, high-resolution coverage of the country, combining remote sensing data and ground tests
  • 56. Mapping soil carbon stocks in landscapes UNEP Carbon Benefits Project: Measurement tools Soil organic carbon stocks within a 10 x 10 km sentinel site in western Kenya mapped by statistical modelling of ground data to satellite spectral bands The effect of cloud is masked as no data 5 6
  • 58. Biomolecules in Green Development C55H72O5N4Mg Chlorophyll
  • 59. LANDSCAPE CONCEPT AND LANDSCAPE APPROACH Production Ecosystem services Biodiversity Institutions Carbon sink and sequestration Livelihoods strategies policy System resilience landscapes as spatially heterogeneous geographic areas characterized by diverse interacting patches or ecosystems Landscape approach is necessary to deal at the same time with production, biodiversity, ecosystem services and functions, livelihoods strategies, policy and institutions across scales. The landscape approach is particularly valuable to create an understanding in the complex (competing) interrelationships between resource use and users across scales.
  • 60. HUMAN LANDSCAPES Land units as non-interacting aggregates Economic or social synergies not accommodated Social processes across land uses ignored or aggregated Ghazoul, ISPC Meeting, 2011)
  • 62. The Challenges of REDD 1. Market alone won’t solve deforestation problem 2. Carbon only part of picture (water, habitat, biodiversity, services) 3. MRV needs to be independent of government 4. Handling cross-sectoral/ministerial issues 5. Controversy over rights to pollute, displacement of emissions 6. Opportunism of carbon cowboys 7. Definition and inclusion problems of tree, forest 8. Asynchronous forest laws, agrarian reform, land tenure 9. Land-use/land-cover conundrum 10. Bundling protection forest, production forest, conversion forest, (non-forest) 11. REDD is only partial accounting 12. Low capacity/compliance of fpic, indigenous rights, social safeguards 13. Baselines versus reference levels 14. Emissions embedded in trade 15. Stock:emission rate ratios are lowering (time pressure to act) 16. All actors believe most finance should go to them
  • 63. ACTORS and FINANCING MAIN ACTORS % Finance National Governments 90% Brokers/Investors 90% MRV, compliance 90% Implementers, Managers, NGOs 90% Stewards, communities 90% TOTAL 450%
  • 64. ACTORS and FINANCING (cont.) MAIN ACTORS % Finance National Governments 25% Brokers/Investors 15% MRV, compliance 15% Implementers, Managers, NGOs 20% Stewards, communities 25% TOTAL 100%
  • 65. ACTORS and FINANCING (cont.) MAIN ACTORS % Finance Source of Finance National Governments 25% ODA Brokers/Investors 15% Market MRV, compliance 15% Market Implementers, Managers, NGOs 20% Market Stewards, communities 25% ODA TOTAL 100% - 50:50 financed by market and ODA - MRV independent of Govt - Govt and communities less vulnerable - Govts need to function for market to trust them
  • 66. • Agroforestry, Afforestation and Reforestation can be part of REDD+ depending on the definition of forest in a given country
  • 67.
  • 68. Ellison D, Futter MN, % of rainfall derived from ‘short cycle’ Bishop K, 2011.On the forest cover–water terrestrial origins(recalculated from Basilovich et al.) yield debate: from demand- to supply- 37% 58% 30% 68% side thinking. Global Change Biology, doi: 10.1111/j.1365- 2486.2011.02589.x Approximately a third comes from ‘local’ 42% sources 40% 22% 41% 46% 1) Mackenzie river basin, 2) Mississippi river basin, 3) Amazon river basin, 4) West Afri-ca, 5) Baltics, 6) Tibet, 7) Siberia, 8) GAME (GEWEX Asian Monsoon Experiment) and 9) Huaihe river basin.
  • 69. Global circulation patterns of humidity in the atmosphere suggsts a strong link between West Africfan rainfall and the recycling of rain-fall back to the atmosphere in East Africa & Nile basin; this suggests very different geopolitics to carbon-based global climate negotiations van der Ent RJ, Savenije HHG, Schaefli B, Steele‐ Dunne SC, 2010. Origin and fate of atmospheric moisture over continents. Water Resources Research 46, W09525,
  • 70. Dryland agricultural areas where more than 50% of rainfall is derived from terrestrial recycling Sahel Keys PW, van der Ent RJ, Gordon LJ, Hoff H, Nikoli R and Savenije HHG, 2012. Analyzing precipitationsheds to understand the vulnerability of rainfall dependent regions, Biogeosciences, 9, 733–746
  • 71. Enhanced EL means increased precipitation 250 Ring w idth Rain season prec. 150 ainy season prec. (m ) m 200 130 ing idth index 150 110 R w 100 90 R 50 70 0 50 1937 1942 1947 1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 2002 Empirical data: research by Aster Year Gebrekirstos c.s. showed intra- Three ‘drought’ indicators: annual variation in O16/O18 ratio in  Ringwidth growth  C12/C13 carbon isotope ratiops rings in the Sa- indicative of stomatal closure hel, indicative  O16/O18 oxygen isotope ratios of ‘short cycle’ indicative of stomatal closure + rain in 2nd part ocean/terrestrial origin of rainfall of growing sea- son
  • 72.
  • 73. 100 No. of households facing shortage Zambia 80 Hungry/cropping Malawi 60 season 40 20 Harvest/off- season 0 Tree Species Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Avocado Citrus Parinari curatellifolia Mangoes Uapaca kirkiana Strychnos cocculoides Syzygium cordatum Annona seneghalesis Azanza garckeana Flacourtia indica Vangueria infausta Vitex doniana Adansonia digitata Ziziphus mauritiana
  • 74. New Cultivar Development (Uapaca kirkiana) A superior cultivar (fruited after 4 yrs.) Variations Earlier fruiting, bigger fruits, heavy fruit loads, smaller trees and uniform quality
  • 75. Case Study: Cocoa Rehabilitation Palopo Cocoa Centre, Sulawesi
  • 76. ~40 identified QTLs 1 2 3 cir120 4 5 0.0 cir184 0.0 cir252 0.0 2.1 cir150 cir153 0.0 1.5 cir242 cir234 0.0 0.3 WRKY-10 cir111 in cacao 5.1 cir19 3.8 cir198 3.8 cir241 1.3 cir232 5.4 TIR2 5.1 cir233 2.1 cir119 9.2 cir240 9.6 cir146 5.2 shrs37 11.6 cir161 9.4 Tce195 cir118 16.0 cir3 10.7 cir21 11.2 cir117 7.4 shrs12 15.7 cf974239 20.9 Tce089 10.9 cir192 14.5 cir33 7.6 shrs11 23.4 cir129 11.6 cir62 14.8 cir237 13.5 cir148 shrs21 12.3 cir40 20.6 cir95 18.2 shrs22 23.8 shrs6 13.9 cir247 21.5 cir10 23.3 shrs33 Witches’ Broom cir143 32.3 ca797995 17.0 cir204 26.2 cir32 26.1 Tce030 28.9 cir159 cir196 37.4 cir268 19.5 21.6 Tce380A cir180 32.0 cir43 26.8 cir123 Resistance cir152 34.2 cir12 38.5 shrs13 31.4 cir175 27.7 cir42 39.4 cir102 31.5 cir169 45.0 WRKY-14 39.6 cir280 cir149 Frosty Pod 46.5 cir29 48.5 cir60 40.6 cir289 39.8 51.0 cf972885 50.1 cir139 42.0 cir78 cir213 cir256 Resistance cir165 45.4 cir263 48.6 40.7 cir170 53.3 cir249 51.3 shrs2 cir206 47.7 shrs19 54.7 shrs3 48.0 cir219 57.7 cir162 63.6 cir254 48.8 cir245 Pod Weight 60.4 cir244 cir69 61.1 shrs23 63.9 cir135 59.4 Tce380 49.1 64.1 cir128 WRKY-11 62.7 cir246 52.3 TIR4 65.8 cir273 66.4 cir140 70.5 cir48 70.1 shrs7 52.6 TIR3 Pod Number 68.4 cir286 63.7 shrs4 69.0 shrs34 70.4 shrs5 67.6 cir87 cir226 73.0 cir80 70.8 cir131 75.3 cir115 80.1 Tce574 85.4 cir230 71.4 cir202 cir109 Trunk Circumference 86.1 cir228 72.1 cir144 84.9 cir101 88.0 WRKY-03 73.0 ca798018 85.3 cir274 87.7 cir275 cir68 89.9 cir264 93.5 cir261 79.5 cir81 9 93.5 cir22 cir73 91.6 ca795469 Jorquette Height 100.5 0.0 cir79 97.0 RGH11 cir269 3.4 cir85 10 cir194 0.0 cir37 Bean Length 4.7 cir223 11.2 RGH7 Pod Number & Wet 6 7 8 24.0 cir64 13.4 RGH8 cir98 Bean Weight 0.0 cir6 0.0 ca972846 24.8 cir283 0.0 cir103 1.5 cir136 1.7 cir186 3.0 cir134 23.3 cir61 5.4 cir277 32.8 cir212 3.2 5.4 cir189 RGH2 Frosty Pod Resistance 10.5 cir53 cir116 36.4 cir58 4.4 cir179 13.5 Tce487 40.6 cir104 & Wet Bean Weight 5.7 cir177 16.8 cir26 45.0 cir8 41.3 cir155 8.0 cir147 47.5 cir178 10.2 cir55 23.0 cir200 32.2 cir71 12.4 cir56 55.2 cir160 34.3 cir276 cir46 58.0 cir157 57.8 cir229 Black Pod 34.7 16.6 cir211 60.5 cir35 37.4 cir25 cir181 33.3 shrs20 22.8 RGH4 35.2 cir225 67.0 cf972909 26.1 RGH5 68.5 cir24 54.3 cir209 33.1 cir13 73.3 74.1 cir251 cir30 Bean Weight, Bean Thickness, 37.4 RGH1 45.1 cir282 57.9 cir9 43.7 cir190 79.5 cir166 Pod Weight & Pod Length 59.9 cir291 51.1 cir1 83.2 cir250 44.1 cir141 86.0 cir126 88.1 cir108 Bean Length, Seed Weight,Ovule 88.6 cir266 94.6 cir72 Number, & Trunk Circumference cir287 95.4 cir243
  • 77.
  • 78. - Resolution 30m x 30m - Based on 280 (56 x 5) ground truthed cocoa locations - Maximum likelihood classifier spectral landcover reflectance probability using ENVI
  • 79. Project Vision for Change (V4C) First flowers after 5 months First pod at 9 months
  • 80. Capacity building and mobilisation: State of our national partners HQ in Abidjan, August 2011
  • 81. A growing on-farm domestic timber sector in Cameroon (Ghana, Sri Lanka, Kenya????)… 3.0 Millions m3 2.0 1.0 0.0 2000 2005 2010 Official production SSL informal production Robiglio, V. et al. 2011. Submitted to Once SSL production is included the overall Small Scale Forestry . value of national timber production doubles! 81
  • 82.
  • 83. eastern western Fort Tenan
  • 84. Components: 1. Global Review 2. International Forum (March 12-16, 2012) FFAOFAO 3. Action and Advocacy
  • 85. Sentinel landscapes –CGIAR long-term research network under CRP6  To strengthen CGIAR’s impact; in the past our research activities were not usually based on a common set of research instruments, and long term horizon  Initial selection of 6 landscapes in Africa, Latin America, South East Asia  Selection driven by CRP6 research hypothesis  Cross regional comparison  Standard network protocols & data sharing policies  Long term presence  Platform for co-locating research