| dc.creator |
Rajala, Tuomas |
|
| dc.creator |
Heikkinen, Juha |
|
| dc.creator |
Gogo, Sophia |
|
| dc.creator |
Ahimbisibwe, Joyce |
|
| dc.creator |
Bakanga, Geofrey |
|
| dc.creator |
Chamuya, Nurdin |
|
| dc.creator |
Perez, Javier Garcia |
|
| dc.creator |
Kilawe, Edward |
|
| dc.creator |
Kiluvia, Shani |
|
| dc.creator |
Morales, David |
|
| dc.creator |
Nzunda, Emmanuel |
|
| dc.creator |
Otieno, Jared |
|
| dc.creator |
Sawaya, Jonathan |
|
| dc.creator |
Vesa, Lauri |
|
| dc.creator |
Zahabu, Eliakimu |
|
| dc.creator |
Henry, Matieu |
|
| dc.date |
2022-09-14T07:10:42Z |
|
| dc.date |
2022-09-14T07:10:42Z |
|
| dc.date |
2022 |
|
| dc.date.accessioned |
2022-10-25T08:51:09Z |
|
| dc.date.available |
2022-10-25T08:51:09Z |
|
| dc.identifier |
978-92-5-136435-2 |
|
| dc.identifier |
http://www.suaire.sua.ac.tz/handle/123456789/4564 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/91075 |
|
| dc.description |
Technical Report |
|
| dc.description |
hree options for the sampling design of the field plot clusters of NAFORMA II biophysical survey are
compared in this report. Option 1 consists of re-measuring all NAFORMA I field sample plots (3 205
clusters) and Option 2 of re-measuring only those that were established as permanent (848 clusters).
The recommended Option 3 is a compromise between these two “extreme” options: Re-measure a
subset (1 405 clusters) of NAFORMA I field sample plots including (almost) all permanent clusters and
a carefully selected set of other NAFORMA I field plot clusters to obtain a uniform sample within each
TFS zone.
Design Option 3 has the following features:
•
•
•
•
Sampling intensity is uniform within each TFS zone. This makes it simple to use the data. For
example, mean volumes can be estimated by averages over the plots.
The selected clusters are well-spread over the target population.
The anticipated precision of land-class area and mean wood volume relative to sample size is
nearly as good as that of NAFORMA I.
All proposed clusters were measured in NAFORMA I, which enables precise estimation of
change based on repeated measurements.
The costs and precision were anticipated by utilizing NAFORMA I field data, information about
subsequent improvements in the road network, and changes in land-use using satellite imaging
derived land-class maps. |
|
| dc.format |
application/pdf |
|
| dc.language |
en |
|
| dc.publisher |
FAO |
|
| dc.subject |
NAFORMA |
|
| dc.subject |
Biophysical survey |
|
| dc.subject |
National forest resources monitoring |
|
| dc.subject |
Tanzania Mainland |
|
| dc.title |
NAFORMA: National forest resources monitoring and assessment of Tanzania Mainland |
|
| dc.type |
Technical Report |
|