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Impact of private forestland tenure changes on 
forest cover, stocking and tree species diversity 
      in Amani Nature Reserve, Tanzania




                  Mathew Mpanda
                  ICRAF EA Region
                Seminar presentation
                   26th April 2011
Background
• Forests and woodlands  in Tanzania occupy 37% 
  (353 000 km2 ) of the land area
• These ecosystems makes Tanzania as one of the 
  richest and most diverse countries in Africa in 
  terms of both species and habitats
• These forests and woodlands comprise different 
  vegetation types and serve for mitigation of and 
  adaptation to climate change, for biodiversity 
  conservation, watershed services, fuelwood and 
  other services
Background cont…
• The role of these forests has, however, been 
  undermined by deforestation which is estimated 
  between 150,000 ‐ 412,000 ha per annum
• Causes of deforestation are mainly human  
  induced disturbances including encroachment, 
  wildfire, illegal mining, pit‐sawing, illegal 
  harvesting for building materials and excessive 
  collection of fuelwood and herbal medicines
• No forest ecosystem in the country has 
  exception in regard to these causes of 
  disturbances
Background cont…..
• In 1970s – 1980s the East Usambara Mtns suffered intense 
  destructions of habitats and species due unsustainable use 
  including excessive mechanized logging
• By  mid 1980’s internal and external outcry on biodiversity 
  loss and destruction of habitats was difficult to ignore
• This led to launching of AFIMP to see how best to reverse 
  the negative trend to the East Usambara Mtns ecosystems
   (i) a need for biodiversity preservation by halting 
      conversion of forestlands into other land uses, 
   (ii) enhancement of forest connectivity of isolated forest 
      blocks of East Usambara Mountains
Background cont…..
Consolidation of existing forests was further translated into
enlargement /annexing of private lands and general lands
   Period   Reserve           Area enlarged        Number of         Amount paid

                                  (Ha)          Farmers involved        (TZS)

  1993-1994 Kambai                       1046                   44      26 113 374

            Mtai                         1234                   87      20 711 409

            Mlinga                        840                   88      35 413 930

  1994-1995 ANR                          1230                  658      25 685 970

            Nilo                         2253                  676     111 766 328

            Manga                         120                   96       7 381 782

  2002-2006 Derema corridor               790               1128      2 730 326 407
Why this study……..?
• The enlargement/annexing exercise in ANR 
  had to affect the following private land 
  categories;
  1. Land under the Tea Company
  2. Land under the Smallholder farmers
  3. Land under the Sisal Company
• This had implications in the resources by;
  1. Re‐defined ownership of the forestland
  2. Re‐defined accessibility to forest resources
Why this study….?
• These changes on forestland tenure in ANR 
  had to institutionalize  the management 
  aspect to capture the following;
  1. Enhance forest resources and other 
     conservation aspects
  2. Address livelihood component to the 
     surrounding communities
This study attempted to evaluate this 
  tenure changes on forest resources from 
  private to state ownership
Narrowing down of Forest resources
• This study specifically attempted to address 
  the following questions;
  1. What is the impact of tenure changes on forest 
     cover in ANR?
  2. What is the impact of tenure changes on stocking 
     in ANR?
  3. What is the impact of the tenure changes on 
     species diversity in ANR?
METHODS: Study site
•EU Mountains are found in the 
north‐eastern part of Tanzania
•Part of the Eastern Arc 
Mountains (global biodiversity 
hotspot)
•ANR forms the largest block of 
EU Mountains
•High biodiversity per unit area 
(both plants and invertebrates)
•Over 3,450 species of vascular 
plants recorded
•Over 1,000 plant species 
introduced from across the 
tropics btn 1902 ‐1930
•Area of interest for research 
and biodiversity monitoring for 
the last 150 yrs
Blue: Forestland 
converted from Tea 
company to state, 
1065 ha
Green: Forestland 
converted from 
smallholder farmers 
to state, 1112 ha
Yellow: Forestland 
converted from Sisal 
company to state, 
173 ha
Grey: Six merged 
forest reserves 
(tenure unchanged)
Methods: Data collection
• Forest cover assessment
1. Forest cover assessment was done using
   remote sensing and GIS techniques
2. Landsat TM satellite images of 2000 and
   2006 were used.
3. The 2000 image (taken on 22 January 2000)
   was used to assess forest cover at the end
   of the private tenure regime
4. The 2006 image (taken on 23 February
   2006) was used to depict the situation after
   six years of state tenure regime
Methods: Data collection
                       Forest Inventory
                       1. In 1999/2000, a number
                          of permanent sample
                          plots     (PSPs)     were
                          established in ANR
                       2. The reserve was first
                          divided into a rectangular
                          450 x 900 m grid.
                       3. Then 50 x 20 m PSPs,
                          altogether 180, were
                          systematically laid in the
                          south-east corner of
                          each rectangle
Methods: Data collection....Forest inventory
4. In 2008 a repetitive survey was carried out on 28 
   PSPs belonging to the blocks that previously 
   were under private tenure i.e. those 
   experienced tenure changes
5. All trees greater or equal to 10 cm were re‐
    identified with respect to location and species
    by means of a botanist and local people, and re‐
    measurements were taken for diameter at
    breast height (dbh)
6. Additional, height measurement of three tree
    per plot was taken
Methods: Data analyses
Forest cover analyses
1.   ERDAS Imagine, ArcView GIS 3.2 and ArcGIS Desktop 10 software 
     were used in image data pre‐processing and analysis. Image sub‐
     setting was conducted to the images of 2000 and 2006 to obtain 
     areas of interest
2. Forest cover maps for 2000 and 2006 were developed containing the 
     following five classes: dense forest, semi‐closed forest, open 
     forest/woodland, bush/grassland and open areas
3. Then post classification change detection was performed in which 
     classified forest cover maps of 2000 and 2006 were compared. 
4. The areas extracted from classification results were used assuming 
     linear relationship to make direct computation of percentage total 
     and annual change;
   i.     Total change (%) = ((Area year x – Area year x + t )/ (Area year x)) x 100%; 
   ii. Annual change (%) = (Area year x – Area year x + t )/ (Area year x x t 
          years))/ x 100%,
Methods: Data analyses….
Forest inventory analyses
• Identical procedures for estimating forest stocking and tree 
  diversity were applied for the year 1999/2000 and 2008 data
• Number of trees per plot was summarized and transformed 
  into per hectare values (N)
• The basal area for individual trees were calculated according to 
  dbh, summarised and transformed into per hectare values for 
  the plot (G)
• Finally, the volume of individual trees was summarized within 
  plots and transformed into per hectare values (V)
• Shannon‐Wiener index was computed within each block and 
  for the 1999/2000 and 2008 data
• The statistical significance of temporal changes for stocking 
  parameters and Shannon‐Wiener index were analysed using 
  two‐tailed t‐tests
RESULTS: Forest cover changes
1. Results of forest cover analyses show positive 
   changes for dense and semi‐closed forest in the 
   block previously owned by the tea company
2. For the block previously under smallholder 
   farmers the area with dense forest has 
   decreased while the area of semi‐closed forest 
   has increased
3. For the block previously owned by the sisal 
   company the area of both dense and semi‐
   closed forests has decreased
RESULTS: Forest cover cont….
Forest block     Description             Private       tenure    State      tenure    Total    Total    Annual  
                                         (2000)                  (2006)               change   change   change

                                         Area (ha) (%)           Area (ha) (%)        (ha)     (%)      (%)


Tea company      Dense forest            697          71.8       729         75.1     +32      +5       +0.8 
                 Semi‐closed forest      72           7.4        182         18.7     +110     +153     +25.5 
                 Open Forest/Woodland    48           4.9        17          1.8      ‐31      ‐65      ‐10.8 
                 Bushland/Grassland      119          12.3       31          3.2      ‐88      ‐74      ‐12.3 
                 Open area               35           3.6        12          1.2      ‐23      ‐66      ‐11.0 
                 All                     971          100.0      971         100.0    ‐        ‐        ‐
Farmland         Dense forest            769          69.2       714         64.2     ‐55      ‐7       ‐1.2 
                 Semi‐closed forest      133          12.0       183         16.5     +50      +38      +6.3 
                 Open Forest/Woodland    45           4.0        39          3.5      ‐6       ‐13      ‐2.2 
                 Bushland/Grassland      161          14.5       173         15.6     +12      +7       +1.2 
                 Open area               4            0.4        3           0.3      ‐1       ‐25      ‐4.2 
                 All                     1112         100.0      1112        100.0    ‐        ‐        ‐
Sisal company    Dense Forest            46           26.6       33          19.1     ‐13      ‐28      ‐4.7 
                 Semi‐closed Forest      21           12.1       12          6.9      ‐9       ‐43      ‐7.1 
                 Open Forest/Woodland    26           15.0       21          12.1     ‐5       ‐19      ‐3.2 
                 Bushland/Grassland      76           43.9       106         61.3     +30      +39      +6.6 
                 Open area               4            2.3        1           0.6      ‐3       ‐75      ‐12.5 
                 All                     173          100.0      173         100.0    ‐        ‐        ‐
RESULTS: Forest cover changes…..
RESULTS: Forest structure
• Results of the stocking levels and changes 
  between 1999/2000 and 2008 shows an 
  increase in number of stems, basal area and 
  volume per hectare in all blocks except for 
  number of stems per hectare in the block 
  formerly owned by the tea company

• The changes however, were not statistically 
  significant at 5% level
RESULTS: Forest structure……
Forest block          Parameters       Private tenure     State tenure   Change (% in   P-value
                                        (1999/2000)          (2008)      brackets)
                                    Mean       SE       Mean     SE
Tea company (n=18)    N (no.ha-1)   435        37       424      33      -11    (-2.5) 0.4027
                      G (m2h-1)     46.0       5.4      46.8     5.2     0.8     (1.7) 0.6369
                      V (m3ha-1)    946.5      133.2    965.3    131.2   18.8    (2.0) 0.6826
Farmland (n=7)        N (no.ha-1)   290        32       310      35      20      (6.9) 0.1453
                      G (m2h-1)     28.7       4.9      32.8     4.8     4.1    (14.3) 0.3762
                      V (m3ha-1)    563.1      113.9    651.4    103.6   88.3   (15.7) 0.4696
Sisal company (n=3)   N (no.ha-1)   137        64       163      55      26     (19.0) 0.2697
                      G (m2h-1)     11.5       5.9      13.2     6.5     1.7    (14.8) 0.0996
                      V (m3ha-1)    209.9      119.9    239.8    132.7   29.9   (14.2) 0.1476
RESULTS: Tree species diversity
  Forest block          Private tenure   State tenure (2008)   Change   P-value
                        (1999/2000)

  Tea company (n=18)    3.50             3.49                  -0.01              0.3943

  Farmland (n=7)        3.36             3.39                  +0.03              0.4650

  Sisal company (n=3)   2.97             3.07                  +0.10              0.2654




• Number of species recorded in 1999/2000 and 
  2008 (in brackets) were 67 (76), 45 (49) and 24 
  (27) for the three forest blocks previously owned 
  by the tea company, smallholder farmers and 
  sisal company, respectively.
• Shannon‐Wiener diversity indices in 1999/2000 
  and 2008 were not significantly different
Main observation and explanation……
 Positive changes
‐ Stable climatic conditions have been reported for
the whole of the Eastern Arc mountains over a
long period of time i.e. no incidences of extreme
weather
‐High growth rates of tree species and
colonization of forest gaps by fast growing species
‐ Reduced human disturbances and compliance to
rules and regulations by adjacent communities
‐ Promoted harvesting of tree from nearby
Longuza Forest Plantation, harvesting of
Eucalyptus sp. woodlots in highland villages i.e.
reduced wood demands
Main observation and explanation……
Negative changes
‐ Uncontrolled fire e.g. adjacent farms preparation,
hunting inside the reserve
‐ Eruption of god rush in 2003
‐ Competition between tree species and grasses i.e.
ground covered by long grasses that hinders
establishment of tree species
‐ Illegal extraction of timber and poles
‐ Natural ecological processes e.g. death of bigger
trees vs climbers, winds vs Maesopsis
Illegal gold mining inside ANR
Use of fire in farm preparations in the 
 Western and Southern parts of ANR
Illegal timber extraction in ANR
Pole extraction in ANR
Main observation and explanation……

Are the changes enough/as expect
‐ Short period of time to expect much changes
especially in natural forest of this nature
‐ Generally conditions of most forests in the
Eastern Arc Mountains are relatively better, one
should expect very small changes
‐ Low number of sample plots and size of the
blocks and high variations between plots
Main observation and explanation……
 Spatial differences between blocks
 1.Conditions of the forest resources were quite 
   different for the three blocks around the 
   time when tenure changes occurred
 2.Other factors may explain the differences 
   among the blocks as location and include 
   human activities (e.g. accessibility and 
   adjacency to villages) as well as natural 
   conditions (e.g. terrain, elevation, 
   vegetation)
Conclusion
The results for changes in forest conditions from when the
tenure changed until 2006/2008 are somewhat ambiguous

There are several exceptions and modifications regarding 
differences between the blocks

When considering the three blocks as one entity one may in 
general maintain that there have been positive changes 
regarding forest cover as well as forest stocking and tree 
species diversity

Generally one may expect that without state intervention 
and a change of tenure major parts of the ANR could have 
accelerated into more clearing as appears in other areas 
under private ownerships in the East Usambara Mountains
Opening up forest patches for crop 
cultivation in Mbomole village
Bradypodion fischeri

                       What are the gaps…?
                       Human dimension in terms of
                       livelihood and governance
Thank you

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Impact of private forestland tenure changes in forest cover, stocking and tree species diversity in Amani Nature Reserve, Tanzania

  • 1. Impact of private forestland tenure changes on  forest cover, stocking and tree species diversity  in Amani Nature Reserve, Tanzania Mathew Mpanda ICRAF EA Region Seminar presentation 26th April 2011
  • 2. Background • Forests and woodlands  in Tanzania occupy 37%  (353 000 km2 ) of the land area • These ecosystems makes Tanzania as one of the  richest and most diverse countries in Africa in  terms of both species and habitats • These forests and woodlands comprise different  vegetation types and serve for mitigation of and  adaptation to climate change, for biodiversity  conservation, watershed services, fuelwood and  other services
  • 3. Background cont… • The role of these forests has, however, been  undermined by deforestation which is estimated  between 150,000 ‐ 412,000 ha per annum • Causes of deforestation are mainly human   induced disturbances including encroachment,  wildfire, illegal mining, pit‐sawing, illegal  harvesting for building materials and excessive  collection of fuelwood and herbal medicines • No forest ecosystem in the country has  exception in regard to these causes of  disturbances
  • 4. Background cont….. • In 1970s – 1980s the East Usambara Mtns suffered intense  destructions of habitats and species due unsustainable use  including excessive mechanized logging • By  mid 1980’s internal and external outcry on biodiversity  loss and destruction of habitats was difficult to ignore • This led to launching of AFIMP to see how best to reverse  the negative trend to the East Usambara Mtns ecosystems (i) a need for biodiversity preservation by halting  conversion of forestlands into other land uses,  (ii) enhancement of forest connectivity of isolated forest  blocks of East Usambara Mountains
  • 5. Background cont….. Consolidation of existing forests was further translated into enlargement /annexing of private lands and general lands Period Reserve Area enlarged Number of Amount paid (Ha) Farmers involved (TZS) 1993-1994 Kambai 1046 44 26 113 374 Mtai 1234 87 20 711 409 Mlinga 840 88 35 413 930 1994-1995 ANR 1230 658 25 685 970 Nilo 2253 676 111 766 328 Manga 120 96 7 381 782 2002-2006 Derema corridor 790 1128 2 730 326 407
  • 6. Why this study……..? • The enlargement/annexing exercise in ANR  had to affect the following private land  categories; 1. Land under the Tea Company 2. Land under the Smallholder farmers 3. Land under the Sisal Company • This had implications in the resources by; 1. Re‐defined ownership of the forestland 2. Re‐defined accessibility to forest resources
  • 7. Why this study….? • These changes on forestland tenure in ANR  had to institutionalize  the management  aspect to capture the following; 1. Enhance forest resources and other  conservation aspects 2. Address livelihood component to the  surrounding communities This study attempted to evaluate this  tenure changes on forest resources from  private to state ownership
  • 8. Narrowing down of Forest resources • This study specifically attempted to address  the following questions; 1. What is the impact of tenure changes on forest  cover in ANR? 2. What is the impact of tenure changes on stocking  in ANR? 3. What is the impact of the tenure changes on  species diversity in ANR?
  • 11. Methods: Data collection • Forest cover assessment 1. Forest cover assessment was done using remote sensing and GIS techniques 2. Landsat TM satellite images of 2000 and 2006 were used. 3. The 2000 image (taken on 22 January 2000) was used to assess forest cover at the end of the private tenure regime 4. The 2006 image (taken on 23 February 2006) was used to depict the situation after six years of state tenure regime
  • 12. Methods: Data collection Forest Inventory 1. In 1999/2000, a number of permanent sample plots (PSPs) were established in ANR 2. The reserve was first divided into a rectangular 450 x 900 m grid. 3. Then 50 x 20 m PSPs, altogether 180, were systematically laid in the south-east corner of each rectangle
  • 13. Methods: Data collection....Forest inventory 4. In 2008 a repetitive survey was carried out on 28  PSPs belonging to the blocks that previously  were under private tenure i.e. those  experienced tenure changes 5. All trees greater or equal to 10 cm were re‐ identified with respect to location and species by means of a botanist and local people, and re‐ measurements were taken for diameter at breast height (dbh) 6. Additional, height measurement of three tree per plot was taken
  • 14. Methods: Data analyses Forest cover analyses 1. ERDAS Imagine, ArcView GIS 3.2 and ArcGIS Desktop 10 software  were used in image data pre‐processing and analysis. Image sub‐ setting was conducted to the images of 2000 and 2006 to obtain  areas of interest 2. Forest cover maps for 2000 and 2006 were developed containing the  following five classes: dense forest, semi‐closed forest, open  forest/woodland, bush/grassland and open areas 3. Then post classification change detection was performed in which  classified forest cover maps of 2000 and 2006 were compared.  4. The areas extracted from classification results were used assuming  linear relationship to make direct computation of percentage total  and annual change; i. Total change (%) = ((Area year x – Area year x + t )/ (Area year x)) x 100%;  ii. Annual change (%) = (Area year x – Area year x + t )/ (Area year x x t  years))/ x 100%,
  • 15. Methods: Data analyses…. Forest inventory analyses • Identical procedures for estimating forest stocking and tree  diversity were applied for the year 1999/2000 and 2008 data • Number of trees per plot was summarized and transformed  into per hectare values (N) • The basal area for individual trees were calculated according to  dbh, summarised and transformed into per hectare values for  the plot (G) • Finally, the volume of individual trees was summarized within  plots and transformed into per hectare values (V) • Shannon‐Wiener index was computed within each block and  for the 1999/2000 and 2008 data • The statistical significance of temporal changes for stocking  parameters and Shannon‐Wiener index were analysed using  two‐tailed t‐tests
  • 16. RESULTS: Forest cover changes 1. Results of forest cover analyses show positive  changes for dense and semi‐closed forest in the  block previously owned by the tea company 2. For the block previously under smallholder  farmers the area with dense forest has  decreased while the area of semi‐closed forest  has increased 3. For the block previously owned by the sisal  company the area of both dense and semi‐ closed forests has decreased
  • 17. RESULTS: Forest cover cont…. Forest block Description Private       tenure  State      tenure  Total  Total  Annual   (2000) (2006) change change change Area (ha) (%) Area (ha) (%) (ha) (%) (%) Tea company  Dense forest  697  71.8  729  75.1  +32  +5  +0.8  Semi‐closed forest  72  7.4  182  18.7  +110  +153  +25.5  Open Forest/Woodland  48  4.9  17  1.8  ‐31  ‐65  ‐10.8  Bushland/Grassland  119  12.3  31  3.2  ‐88  ‐74  ‐12.3  Open area  35  3.6  12  1.2  ‐23  ‐66  ‐11.0  All  971  100.0  971  100.0  ‐ ‐ ‐ Farmland  Dense forest  769  69.2  714  64.2  ‐55  ‐7  ‐1.2  Semi‐closed forest  133  12.0  183  16.5  +50  +38  +6.3  Open Forest/Woodland  45  4.0  39  3.5  ‐6  ‐13  ‐2.2  Bushland/Grassland  161  14.5  173  15.6  +12  +7  +1.2  Open area  4  0.4  3  0.3  ‐1  ‐25  ‐4.2  All  1112  100.0  1112  100.0  ‐ ‐ ‐ Sisal company  Dense Forest  46  26.6  33  19.1  ‐13  ‐28  ‐4.7  Semi‐closed Forest  21  12.1  12  6.9  ‐9  ‐43  ‐7.1  Open Forest/Woodland  26  15.0  21  12.1  ‐5  ‐19  ‐3.2  Bushland/Grassland  76  43.9  106  61.3  +30  +39  +6.6  Open area  4  2.3  1  0.6  ‐3  ‐75  ‐12.5  All  173  100.0  173  100.0  ‐ ‐ ‐
  • 19.
  • 20. RESULTS: Forest structure • Results of the stocking levels and changes  between 1999/2000 and 2008 shows an  increase in number of stems, basal area and  volume per hectare in all blocks except for  number of stems per hectare in the block  formerly owned by the tea company • The changes however, were not statistically  significant at 5% level
  • 21. RESULTS: Forest structure…… Forest block Parameters Private tenure State tenure Change (% in P-value (1999/2000) (2008) brackets) Mean SE Mean SE Tea company (n=18) N (no.ha-1) 435 37 424 33 -11 (-2.5) 0.4027 G (m2h-1) 46.0 5.4 46.8 5.2 0.8 (1.7) 0.6369 V (m3ha-1) 946.5 133.2 965.3 131.2 18.8 (2.0) 0.6826 Farmland (n=7) N (no.ha-1) 290 32 310 35 20 (6.9) 0.1453 G (m2h-1) 28.7 4.9 32.8 4.8 4.1 (14.3) 0.3762 V (m3ha-1) 563.1 113.9 651.4 103.6 88.3 (15.7) 0.4696 Sisal company (n=3) N (no.ha-1) 137 64 163 55 26 (19.0) 0.2697 G (m2h-1) 11.5 5.9 13.2 6.5 1.7 (14.8) 0.0996 V (m3ha-1) 209.9 119.9 239.8 132.7 29.9 (14.2) 0.1476
  • 22. RESULTS: Tree species diversity Forest block Private tenure State tenure (2008) Change P-value (1999/2000) Tea company (n=18) 3.50 3.49 -0.01 0.3943 Farmland (n=7) 3.36 3.39 +0.03 0.4650 Sisal company (n=3) 2.97 3.07 +0.10 0.2654 • Number of species recorded in 1999/2000 and  2008 (in brackets) were 67 (76), 45 (49) and 24  (27) for the three forest blocks previously owned  by the tea company, smallholder farmers and  sisal company, respectively. • Shannon‐Wiener diversity indices in 1999/2000  and 2008 were not significantly different
  • 23. Main observation and explanation…… Positive changes ‐ Stable climatic conditions have been reported for the whole of the Eastern Arc mountains over a long period of time i.e. no incidences of extreme weather ‐High growth rates of tree species and colonization of forest gaps by fast growing species ‐ Reduced human disturbances and compliance to rules and regulations by adjacent communities ‐ Promoted harvesting of tree from nearby Longuza Forest Plantation, harvesting of Eucalyptus sp. woodlots in highland villages i.e. reduced wood demands
  • 24. Main observation and explanation…… Negative changes ‐ Uncontrolled fire e.g. adjacent farms preparation, hunting inside the reserve ‐ Eruption of god rush in 2003 ‐ Competition between tree species and grasses i.e. ground covered by long grasses that hinders establishment of tree species ‐ Illegal extraction of timber and poles ‐ Natural ecological processes e.g. death of bigger trees vs climbers, winds vs Maesopsis
  • 29. Main observation and explanation…… Are the changes enough/as expect ‐ Short period of time to expect much changes especially in natural forest of this nature ‐ Generally conditions of most forests in the Eastern Arc Mountains are relatively better, one should expect very small changes ‐ Low number of sample plots and size of the blocks and high variations between plots
  • 30. Main observation and explanation…… Spatial differences between blocks 1.Conditions of the forest resources were quite  different for the three blocks around the  time when tenure changes occurred 2.Other factors may explain the differences  among the blocks as location and include  human activities (e.g. accessibility and  adjacency to villages) as well as natural  conditions (e.g. terrain, elevation,  vegetation)
  • 31. Conclusion The results for changes in forest conditions from when the tenure changed until 2006/2008 are somewhat ambiguous There are several exceptions and modifications regarding  differences between the blocks When considering the three blocks as one entity one may in  general maintain that there have been positive changes  regarding forest cover as well as forest stocking and tree  species diversity Generally one may expect that without state intervention  and a change of tenure major parts of the ANR could have  accelerated into more clearing as appears in other areas  under private ownerships in the East Usambara Mountains
  • 33. Bradypodion fischeri What are the gaps…? Human dimension in terms of livelihood and governance
  • 34.