Saturday, November 5, 2016

Review of Landuse and Land Degradation Status in Myanmar, Desertification, Land Degradation, Deforestation, Drought and their Environmental and Socio-economic Impacts

Review of Landuse and Land Degradation Status in Myanmar, Desertification, Land Degradation, Deforestation, Drought and their Environmental and Socio-economic Impacts



Maung Maung Than, Assistant Director, Remote Sensing and GIS Section, Planning and Statistics Division, Forest Department


1.         BACKGROUND

1.1              The Land and Climate

            The Union of Myanmar lies in Southeast Asia between latitudes 10° and 28° North and longitudes 92° and 101° East. The country is roughly in the form of a diamond 920 km. across from east to west and 1450 km. from north to south. The Tanintharyi coastal strip extends from the south eastern side of the diamond some 690 km. further south into the Malay Peninsula.

            The country is bordered by Bangladesh and India on the north-west, China on the north-east, Laos and Thailand on the south-east and the Bay of Bengal on the south and west.

            The mountain ranges on the west, north and east serve as natural barriers. The Rakhine Yoma separates the Ayeyarwady River valley from the sea, the Bago Yoma separates the Ayeyarwady and Sittaung river valleys while the Shan escarpment rises to the east of the Sittaung River. The Tanintharyi Yoma runs down the coastal strip of the same name. The highest peak Khakaborazi is in the far north and is 5788.8 meters high. The famous extinct volcano, Mt. Popa, is in central Myanmar at the northern end of the Bago Yoma and is 1350 meters high.

            Most of Myanmar lies within the tropics, the Tropic of Cancer passing through the country about a hundred and fifty kilometres north of Mandalay. There are three seasons: the wet, the cold and the dry.

            The wet season is from mid-May to October end. During this period the south-west monsoon brings rain from the Bay of Bengal. The coastal regions receive about 500 centimetres of rain, the Ayeyarwady delta about 250 centimetres and the hilly regions about 200. Central Myanmar which lies within the rain shadow of the Rakhine Yoma receives about 50 to 75 centimetres of rain.

            The cold season is from early November to late February when temperatures in the south of the country may drop to15.5°.C. In other areas the cold is more intense.

            The hot season comes before the rains. Temperatures in the south are around 37.75° C but those in the central Myanmar may be as high as 43°.C.




2.                  FOREST COVER OF MYANMAR

2.1       Forest Resource Assessments using Remote Sensing data


Definitions
Following definitions are essential to understand the forest cover conditions of Myanmar.
Forest:                        Land with tree crown cover (or equivalent stocking level) of more than 10 percent and area of more than 0.5 hectares (ha). The trees should be able to reach a minimum height of 5 meters (m) at maturity in situ. May consist either of closed forest formations where trees of various storeys and undergrowth cover a high proportion of the ground; or open forest formations with a continuous vegetation cover in which tree crown cover exceeds 10 percent.
Closed Forests (Actual Forest):        Formations where trees in the various storeys and the undergrowth cover a high proportion (> 40 percent) of the ground and do not have a continuous dense grass layer. It has the same meaning with "Actual Forest " in "Forest Cover of Myanmar, the 1989 Appraisal, by Kyaw Tint and Tun Hla, and has been in continuous use by the Forest Department for change analysis.
Open Forests:             Formations with discontinuous tree layer but with a coverage of at least 10 percent and less than 40 percent. Generally there is a continuous grass layer allowing grazing and spreading of fires. This can be loosely called degraded forest.
Other Wooded Land:            Land either with a crown cover (or equivalent stocking level) of 5-10 percent of trees able to reach a height of 5 m at maturity in situ; or a crown cover (or equivalent stocking level) of more than 10 percent of trees not able to reach a height of 5 m at maturity in situ (e.g. dwarf or stunted trees); or with shrub or bush cover of more than 10 percent.
Other Land:               Land not classified as forest or other wooded land as defined above. Includes agricultural land, meadows and pastures, built-on areas, barren land, etc.
Shrubs:                       Refer to vegetation types where the dominant woody elements are shrubs i.e. woody perennial plants, generally of more than 0.5 m and less than 5 m in height on maturity and without a definite crown. The height limits for trees and shrubs should be interpreted with flexibility, particularly the minimum tree and maximum shrub height, which may vary between 5 and 7 meters approximately.

Forest Fallow System:           Refers to all complexes of woody vegetation deriving from the clearing of natural forest for shifting agriculture. It consists of a mosaic of various reconstitution phases and includes patches of uncleared forests and agriculture fields, which cannot be realistically segregated and accounted for area‑wise, especially from satellite imagery. Forest fallow system is an intermediate class between forest and non‑forest land uses. Part of the area may have the appearance of a secondary forest. Even the part currently under cultivation sometimes has appearance of forest, due to presence of tree cover. Accurate separation between forest and forest fallow may not always be possible. (However latest digital image classifications used can differentiate between forests and forest fallows much more than in previous manual interpretations.)

2.1.1    First Appraisal (1955)
The first forest cover assessment of the whole country was done in 1957 using the aerial photography of 1953-1957. Reports of that assessment have been lost but the result of 57% forest cover has been accepted as an official feature for a long time. U Aung Myint, retired Director of Forest Department who had taken charge of that assessment has explained that interpretation has been done on each of the photos map-sheet by map-sheet. The term forest has been given not only to forested area but also to shifting cultivation area, which are sure of covering by forests again. This is in the same concept with the definitions above. (In 1950s real cultivators following strict fallow periods perform shifting cultivation or clearings in the forests. Now a day the clearings are either for permanent agriculture encroachment or heavy illegal timber extractions) Aerial photographs of those periods show well covered forests and this 57% can be assuredly counted as actual forest cover (over 40% crown density). Other land (43%) will include many forms of degraded forests and other wooded lands beside agriculture. However no records have been found at present except that forest cover is 57%.

Actual Forest
385635.2
57.0%
Others
290917.8
43.0%







2.1.2    Second Appraisal (1975)
The first introduction of Landsat imagery to Myanmar was in 1980. Under a FAO / UNEP project (Tropical Resources Assessment Project) a quick appraisal of the forest cover of the whole country was carried out using 1 : 1,000,000 scale Landsat imagery of the year 1972-1979. This appraisal can be termed 1975 appraisal because of the reference year of the satellite imageries. The result is actual forests covered 47.8% of total land area.

Actual Forest
323216
47.8%
Forest Fallow
177520
26.2%
Others
175817
26.0%





2.1.3        Third Appraisal (1989)

The project (MYA/85/003) National Forest Management and Inventory purchased a set of Landsat TM imagery for the period 1989-90 at 1:500,000 scale and a countrywide landuse map was produced by visual interpretation. Official third appraisal of Myanmar forests was done by this project. The classification is adjusted to attain consistency with 1975 appraisal. The result is actual forests covered 43.2 % of total land area in 1989.

Actual Forest
292579
43.2%
Forest Fallow
206047
30.5%
Others
177927
26.3%






2.1.4        Fourth Appraisal (FRA2000 or 1997)

Japan Forest Technical Association and Forest Department performed Information System Development Project for the Management of Tropical Forest. This project covers 68% of the country. The working scale is the resampled 50-meter resolution of the Landsat TM images. Field reconnaissance surveys, field verification surveys are included and digital classification is first used on Myanmar Forest area. The classification legend is the same as the official Forest Department’s legends used in aerial photographic surveys.
In 1999 Total Oil Company donated 5 landsat TM scenes to perform land use mappings in the Tanintharyi Division, southern area of Myanmar. Integrated use of Remote Sensing and GIS is applied. Digital Landsat TM data is downloaded, enhanced and plotted out in 1:250,000 scale. 1989 1:250,000 scale aerialphotography is used as ancillary data. Administrative, Forest and infrastructure data is derived from 1:250,000 scale topographic maps. All data are overlaid and maps and analysis data produced.
National Space Development Agency of Japan assisted with ADEOS data, which covered Mon State for field testing. The by product of this field test is the Landuse data of the said area.
All these data (ISDP, Tanintharyi and Mon mappings) are used in FRA2000 data assessment of Myanmar. Actual Forest Cover is now 37.4% (252939 hectares) of total country.

Actual Forest
252939
37.4%
Open Forest
100808
14.9%
Other Wooded Land
119193
17.6%
Others
203613
30.1%




2.2       Change Assessments or calculating Deforestation Rates

As can be seen in Table ( 1 ) forest cover appraisals used different remote sensing data, different technologies and also performed by different persons. Therefore the deforestation rates can be sometime misleading. Scientifically actual change assessments have to be done by the same personal using uniform data types with the same techniques and classification systems. This is an ideal situation possible only after 1990s when Landsat series satellite data becomes available. However most countries especially developing countries like Myanmar have to do with what they have and different forest cover assessments have to be used in calculating deforestation rates of the said periods. FRA2000 has suggested what it calls comparability tables. In Table ( 2 ) the comparability table used to convert 1989 third appraisal data into FRA2000 classification is shown as an example.


Table  1.         Results of four successive forest cover assessments of Myanmar

Total land area (676553 sq.km)

1
2
3
4
5
Assessment Year
1955
1975
1989
1997
Percent
57.0
47.8
43.2
37.4
Total Land Area




Actual forest area
385635.2
323392.3
292270.9
252939
(>40% c.c.)sq.km




Lost in forest cover sq.km

62242.9
31121.4
39331.9
Interval

20.0
14.0
8.0
Deforestation rate

311214.38
222295.99
491648.75
(Hectare/year)




Deforestation rate

0.5
0.3
0.7
Percent of total land area




Interpretation level
1:24000
1:1,000,000
1: 500,000
 Landsat TM

1:20,000
Landsat MSS
Landsat TM
Digital Image Process

1:50,000
Diapositives
hardcopies
1:250,000 hardcopy

Airphoto


1:50,000 scale ADEOS




Hardcopy





Over all 1955-1997 changes
132696.2
sq.km


Interval
42
years


Deforestation rate
315940



(hectare/year)




Deforestation rate
0.467



(percent of total land area)






However as the open forest types (crown density between 10% to 40%) and other wooded land types (< 10%) are subject to controversy only actual forest area(over 40% crown density) has been used in comparing second appraisal (1975) and third appraisal (1989) by Forest Department. (Kyaw Tint and Tun Hla, 1991). The same concept has been taken in comparing third appraisal data with FRA2000 data (Fourth Appraisal) in 2000.


Table  2.         Comparability Table of 1989 Third Appraisal data to FRA2000

Section 2: Table 4_89 - Comparability between country classification and FRA 2000 classification

Country:                                                                                  Reference year: 1989

Geographic  Unit: Myanmar

Title of the inventory/survey: Forest Cover Appraisal of Myanmar 1989 using 1:500,000 scale Landsat TM


Forest and other woody vegetation types
(country classification)
Corresponding FRA 2000 classes
1.      1, Closed Forest
2.      2A, Closed Forest affected by 25% shifting cultivation
3.      2B, Closed Forest affected by 50% shifting cultivation
4.      2C, Closed Forest affected by 75% shifting cultivation
Closed Forest
Closed Forest, 25% go to forest fallow

Closed Forest, 50% go to forest fallow

Closed Forest, 75% go to forest fallow


1.      3, Degraded Forest
2.      4A, Degraded Forest affected by 25% shifting cultivation
3.      4B, Degraded Forest affected by 50% shifting cultivation
4.      4C, Degraded Forest affected by 75% shifting cultivation

Open Forest
Open Forest, 25% go to forest fallow

Open Forest, 50% go to forest fallow

Open Forest, 75% go to forest fallow

1. Not Accessible




Shrub

1. Shifting Cultivation




Forest fallow system



Note: Open and closed forest make up “natural forest”; shrub and forest fallow make up “other wooded land”

Comments:




2.3       Conclusion on Deforestation Rate


Technically speaking remote sensing data directly compatible is between 1957 (air photos) and 1997 (digital classification of Landsat data). Therefore final calculation of 0.467 % (316049 hectares annually) of total land area for 1955 to 1997 (42 years) is an acceptable figure for actual forest cover changes.

However if one wants to know by different periods following short table can be compiled.

Table 3  Different Deforestation Rates of Actual Forests of Myanmar

Serial
Period
Interval
Actual Forest Cover Lost During the Period (sq.Km)
Lost of Actual Forest Cover per year (hectares/year)
Deforestation Rate of Actual Forests
Percent of Total Land area
1
1955 to 1975
20
62242.9
311214.38
0.5
2
1975 to 1989
14
31121.4
222295.99
0.3
3
1989 to 1997
8
39331.9
491648.75
0.7
Overall
1955 to 1997
42
132696.2
315940
0.467

3.                  DRYZONE OF MYANMAR

Dryzone area is about 700 Kilometre north of the capital city of Myanmar. This area is about 400 Kilometre long from north to south and about 192 Kilometre wide from east to west, situated between east longitudes 93° 40´ and 96° 36´ and north latitudes 19° 20´ and 22° 50´. Bounded by Kachin State in north, Shan State in east, Bago Division in south and Chin State and Rakhine State in west.
Topography is mostly flat in Mu, Sittaung and Ayeyarwady valleys with a significant flat area of about 4144 sq.km from Singu to Tatkon. Isolated mountain ridge and hills with Mt. Popa (is an extinct volcano, with an altitude of 1,509 meters and the highest in this area), Sagaing hill 254 meters, Mandalay hill 235 meters, Shinmadaung hill 522 meters, Kyaynitaung 320 meters. Ayeyarwady basin with rolling hills on both side of bank with about 10,360 sq.km from Mandalay to Thayet.
Rain shadow effect is created by the high mountain range of Rakhine in the western part. The Mt. Popa is centrally situated with a peak of 1509 meters, attracts heavy clouds and creates the Oasis of central Myanmar with 1,000-mm rainfall. Rainfall varies between 500 mm to 1,000 mm with very high variation and fluctuation. The first rain started in last week of June with two distinctive periods. Getting 3.2 % of total rainfall of Myanmar. Average annual rainfall is about 718 mm. Monthly highest is in September with a record rainfall of 227 mm.
There exists severe temperature during summer time, and maximum temperature is during March and April rising up to 43°C. Average maximum temperature is 32°C. The coldest month is January with 7°C with a wide range of temperature difference about 15°C. Average relative humidity is 63%. March and April are driest months with the relative humidity of 42 %. September is highest with 80%.
Northeast monsoon during October and March carries no cloud hence any rain. Thunder storms and whirlwind occurs during March and April, which carries dust storm causing loss of soil fertility. Southwest monsoon enters in first week of June and leaves in first week of October.

4.                  CURRENT LAND USE OF DRYZONE

When the Dryzone Greening Department has been established Remote Sensing and GIS Section of Forest Department has performed landuse mapping, erosion susceptibility mapping and regeneration plan mapping for the new department. Methodology and results of these activities will be discussed in the following sections.

4.1       Background

Remote Sensing and GIS Section of Planning and Statistics Division has been assigned to produce Land Use and Land Cover Maps and associated databases of 12 Districts of Dryzone by Director General of Forest Department. Official mandate is given by Meeting Minutes on April 30th 1997 meeting at the meeting room of DG’s office. The area is comprised of 3 Divisions, 12 Administrative Districts and altogether 53 townships covering a total area of 20.12 million acres. Output data will be used in drawing of a 20 years master plan. Time allowed to finish the assignment or project is if possible 2 months starting from May and if not a maximum target of 3 months. Later Gangaw District has been added to the list. The following methodology has been drawn up to meet the Director General’s directives.

4.2       Methodology

Main methodology is integrated use of Remote Sensing and GIS. Land Use information derived from Landsat5 TM satellite imageries will be superimposed on administrative and forest boundary information taken from 1:63,360 topographic maps. Input scale of Landsat imagery will also be in 1:50,000 scale. These large scales on both imagery and base maps have been chosen for future updates of detailed District and Township Plans. Streams and main roads will be taken for the present from 1: 500,000 scale digital database of Forest Department. Data analysis will be made using Microsoft Excel software. Data level will be down to township levels in administrative boundary and Forest Reserve level in Forest Administrative boundary.


4.3       Data

Data sources are:

1)                  Landsat5 TM digital imageries
2)                  Landsat5 TM hardcopies
3)                  Aerialphotography
4)                  Topographic Base Maps
5)                  1:500,000 scale GIS database of Myanmar



4.4       Land Use and Land Cover

Manual eyeball interpretation is mainly used. Only in some areas some type of special stretches are made. Even this can be done only on new plot outs as time is very short. Following 25 keys have been developed using previous experiences of Dry Zone land use mapping and also Watershed Management mappings. Priority consideration has been given on human land use, agricultural practices, soil erosion, fuel wood situation etc. other than Forest Management or Forest Type classification.

1.     Moist Forest (M)

This includes MUMD, Evergreen and some High Indaing of Pakokku District will be included. Dark red on the TM bands 4,5,3 (R,G,B) colour composites. For planning purposes no danger zone.

2.     Semi Indaing Forest (Id)
This is only for Mount Poppa area light gold colour. They are Thitya, Ingyin mixed with DUMD species. Definitely no Than and Dahat. The forest is just above the horse path at the western side and lower area is completely covered by banana plantation. At the east side it extends are the moist line at 3000 ft and dry type below.

3.     High Indaing (In)

This is for High Indaing forests of Monywa. Saturated with red, fine texture. Some forests around them have been interpreted as Moist Forest but they can also be High Indaing. Only field check can distinguish them. But for present mapping objectives this pose no problem. Also field checking in the western part of Ayeyarwady has not feasible of time restraint.

4.     Hill Forest (H)

Hill forests at the borders of Shan State. Red colour. Must check with elevation. But these areas have been mapped under the Watershed Management Project and that experience has been used.

5.     Mixed Deciduous Forest (MDF)

This includes both MUMD and DUMD. Under 3000 ft line. Some are red and some are purple mixing with Dry Hill Forest types of Kinda Watershed. If for Forest Management Planning detail differentiation will be needed. But not now. Some hill forests are found to be just scrub land by field check.

6.     Dry Forest (DF)

Emerald green when free from forest fire in March. Poppa Extension Reserve areas are sort of military green patches, the result of forest fires in 1995 scene 133/46 (March). Now we use the 134/46 (January) 1996 scene data to correct this and found to be light yellowish red at that time. Comprise of mainly Than and Dahat forest. Also cutch, Kandarasein and other real dry zone species show only green or greenish colour in this 4-5-3 band combination. Best examples are in Odaung Reserve. This fact calls for multi season or at least in the leafless and with leaf acquisitions of TM data for accurate interpretation. Even than some good grass covered hills are also reflecting green by ground truth data and has to be corrected from DF into Scrub and Grass (Sc/Gr). e.g. Taungtha Range.

N.B Above six classes are no problem areas.

7.   Scrub Land, Scrub Forest (Sc)

The term scrub poses a problem when describing land cover. Scrub land means open land with scattered trees of coppice types whereas scrub forest will be degraded forest land comprised of small trees. Time does not permit us to further distinguish this two types. So in the forested areas Sc will be scrub forest and in dry zone open areas this will be scrub land with scattered tree growth. Both are important areas for management.
N.B. Right now most of the scrub forest interpreted in Thayet district are found to be Low Indaing Hills. We are not changing the codes again because the meanings are the same.

8.   Scrub Land and Grass Land (Sc/Gr)

These are really denuded grass hills of dry zone. Mostly bluish green on the imagery and that means very little grass cover. Some areas are brown hill shapes which means some grass cover still exist. Detailed plans will need to differentiate between the two. Important areas for site selection of forestry and woodlot plantations. When covered by good grass they come out dense green as in the case of Taungtha Taung and some hill tops of Poppa.

9.     Grass land (Gr)

Grass lands of Dry Zone are results of repeated shifting cultivation or forest cuttings. These are green and sometimes brown in March. Some tall grasses (Imperata) in the moist forests are orange. Existence of grass is very important from soil conservation point of view.

10.  Shifting Cultivation (Sh)

Shifting cultivation has been described as “Taungya” in Myanmar. But in our latest land use mappings need arises to distinguish two types of shifting cultivation. Shifting  cultivation in the forested area (real Taungya) and agricultural shifting cultivation where definitely no forested area is around in the vicinity. Shifting cultivation now used means real shifting cultivation in the forested areas. Agricultural shifting cultivation has been given a new class under agriculture “Ya (Y)”. Taungyas are distinguished by their irregular patterns in the forest. Some very big areas in the Yomas have been mapped directly. But mostly they are mosaics with surrounding forest or vegetation. If shifting cultivation practices should be banned completely awareness must be taken of the actual shifting cultivation and Ya as described here. Ya can be controlled only by sound land use methods as contour bunds, vegetative bunds etc., definitely not by complete banning of the practices. Most of the Ya have become now ("g:rOD:cs) hierarchical belongings. Some even are now officially listed in local SLRD offices. A detailed mapping operation by both FD and SLRD will be essential for clear-cut legal proceedings later. SLRD has offered to supply cadsatral maps (uGif:a]ryHk) to us in one inch scale and they will be invaluable to solve conflicts.



11.  Shifting Cultivation and Bamboo (Sh/B)

Most of the area in Thayet township is shifting cultivation with patches of bamboo among them. Cultivation has been more of a permanent nature now. Yellow and blue or white mosaics. Also adjacent scene in different time on the road to Taungtwingyi are Sh/B or Ya with bamboo between them. Then colour is green and white mosaics. Here the area is so big that we check again with the scenes. Final meaning is Sh/B includes scrub trees left among the cultivation. B (bamboo) shows the characteristic undergrowth of Mixed Forest Origin. Sh/B and Af/B are similar in spectral reflections in some areas. Difference is Af/B (B means vegetative bunds here) is trees are nurtured specially by farmers (arG:awm) and Af is permanent. In Sh/B bamboo and scrub trees are remnant of the old forest cleared by taungyas. Sh/B will gradually and also is being transformed into Af.

12.  Scrub Forest and Shifting Cultivation (Sc/Sh)

Shifting cultivation in the scrub forest area. Shifting cultivation patches amidst brown scrub forest.

13.  Moist Forest and Bamboo (M/B)

Either degraded Moist or Mixed Deciduous Forests where Bamboo now mostly dominate. Trees are red coloured among bright yellow of bamboo reflection in two infrared bands. These still pose no problems for soil conservation. But for Forest Management they are a critical class and show status of forest degradation.

14.  Bamboo (B)

Only pure bamboo breaks of Rakhine Yoma has been classified as Bamboo here. Mostly these occur as mosaics. Distinctly yellow colour.

15. Scrub Forest and Bamboo (Sc/B)

Mosaic of Scrub Forest (Brown colour) and Bamboo (Yellow colour). Mostly on Bago Yoma areas (Thayet District).

16.  Agriculture (Af)

This is normal agriculture. Annually cultivated. Clear ownership boundary demarcated with bunds. Not much vegetative bunding exists. This class can be further distinguished to Af and Af/W which means irrigated agriculture. Detailed mapping later must do that. Irrigated fields can be clearly distinguished to the interpreter but needs ground verification. At present the two class are combined. Normal Af in the dry zone suffers serious threat from sheet erosion. Ground checking trip has confirmed that Af and Af/W can be distinguished and also should be done as the Af/W areas are well-off areas benefiting from irrigation. In Kume and Myittha just some contour feet decide the type of agriculture and subsequently their production.



17. Agriculture with vegetative bunds (Af/B)

On TM imageries they appear green and white patches. We have once wrongly interpreted them to be scrub areas. Main vegetation in the Dry Zone bunds are Sha, Toddy Palm and other dry zone spps. When farmers grows trees here either on the bunds or also in the farm they provide good source of local fuel wood and house posts. Most of the fuelwood flowing into Meiktila are from such nurtured forests (arG:awm) of Ma-hlaing township. In Nwa-hto-gyi township there are also very good examples. Local township officer has regulated the use of such agroforestry practices and he is trying to spread this very sound practice to all over the area. All dry zone districts should follow this example.

18. Alluvial Island Cultivation (Al)

In Ayeyarwady River, Chindwin River and major streams there are alluvial islands formed after the end of flooding season. Many crops are grown on them and this alluvial cultivation is one of the main important agricultural practices. Some important crops like tobacco and potato are mostly cultivated on these. Bright red colours and fine texture in the rivers and streams is very distinct. Tomato, beans etc. are also good cash crops.

19. Ya cultivation (Y)

This is an important class for Dry Zone and also for some other areas. Landuse is mainly agriculture. But almost no boundary being demarcated. These are in the state between shifting cultivation and permanent agriculture. Most of the areas are now under permanent cultivation already. But there are some fallow periods. Settlement and Land Record Department may enlist them under culturable wastelands. The future trend is either they are levelled to permanent fields or become waste lands and abandoned as in the case of Taungphila Reserve Forest. When eroded they are bright white. Main characteristic is drainage patterns and relief can be seen. Very little tree cover exists here. Field check has confirmed that bright white Ya areas are badly eroded land where even the farmers have abandoned. Fortunately most of the areas are now proposed protection forest areas. I would like to say that for detailed planning later we will need protection forest boundaries from local Forest Township Offices. Right now all good or bad Yas have been combined together.

20. Forest Plantations (Pt)

Not all forest plantations are visible on the Landsat imageries. Plantations described here are those of Dry Zone where fine texture green of undisturbed grass are clearly seen. In the field check we have confirmed the signature of Eucalyptus plantations.

21. Horticulture and Homestead Gardens (At)

These includes banana plantations of Mt.Poppa. Other important orchards like mango may be at present combined in Urban areas. Field check has confirmed mango plantations to be bright red patched. e.g. Han-myint-mo and also around Kyaukse area. These have been modified now.



22. Urban Areas, Towns, Villages etc. (Ui)

These are main towns and villages. Some become sort of long chain of villages as in Semikhone. These are classified by their patterns. Villages in the Dry Zone are distinct by brown colour blocks, result of good coverage of Tamarind trees.

23. Water in Main Rivers, Streams, Main Irrigation Systems, Lakes, and Ponds (W)

All has been classified into water. The usual black colour on imagery. Some natural lakes and ponds are covered by water plants resulting red at the rims. Not all irrigation dams of dry zone are visible in the scene as they are out of water at the time of imagery. Myakan reservoir has been under dry spell for about 4 years. Kyetmauktaung dam at present field checking time, you can see even cattle grazing in the dam water area. There are some cultivation also.

24. Swamp (Um)

Swamp areas.

25. Sands (S)

Sand banks in the rivers and streams. White colour.

Table (4) shows the result of Land Use mapping for the whole 13 districts.



Table 4           Overall Landuse of Dryzone




Area/acres
Serial
Forest Type
Overall Total
1
Moist Forests
1614760.2
2
Hill Forests
87380.9
3
Dry Forests
46428.5
4
Mixed Deciduous Forests
2042203.7
5
High Indaing Forests
223906.6
6
Semi-Indaing Forests
4036.6
7
Bamboo
483.5
8
Moist Forests/Bamboo
182507.8
9
Scrub Forests/Land
1143782.5
10
Scrub Land/Grass
551244.5
11
Scrub Land/Bamboo
70034.9
12
Scrub Land/Shifting Cultivation
745098.1
13
Shifting Cultivation
994308.0
14
Shifting Cultivation/Bamboo
1064768.2
15
Grass Lands
50780.6
16
Forest Plantation
48888.1
17
Permanent Agriculture
9177364.7
18
Agriculture/Vegetative Bunds
416513.2
19
Ya (Upland farming)
1924351.0
20
Alluvial Island Cultivation
430081.4
21
Horticulture
14084.8
22
Water Bodies
302177.8
23
Swamps
11984.5
24
Urban Areas
172083.3
25
Sand
238205.6
26
Total
21557459.2





Data generated for Dryzone Greening Department (DGD) contains detailed land use and land cover information derived from satellite data and aerial photographs as explained above. Thereby an attempt has been made to modify the data into simple format and analysed. In addition, detailed mapping has been carried out for all townships in the districts so that Forest Department can also use the maps for their Forest Management Plans. Here only those townships, which fall under the DRD, have been analysed.



Modified Classes


Six major classes are defined combining the detailed classification as follows.

1.     Good Forest:         This includes Moist Forest (M), Semi-Indaing (Id), Dry Forest (DF), Hill Forest (H), High Indaing (In), Mixed Deciduous Forest (MDF), Moist Forest with Bamboo (M/B), Bamboo Breaks of Rakhine Yoma and Forest Plantations (Pt). Good means good vegetation cover for dry zone management. Some areas may not be good for Forest Management (timber production).
2.     Degraded Forest:  This includes Scrub Forest (Sc), Scrub with Grassland (Sc/Gr), Scrub with Bamboo (Sc/B) and Grass land (Gr). Some area needs only natural regeneration methods. If need arise please look at the detailed data sheets already supplied.
3.     Shifting Cultivation:         This includes Shifting Cultivation (Sh), Shifting cultivation with Bamboo (Sh/B), and Scrub land affected with Shifting Cultivation (Sc/Sh).
4.     Agriculture:           This includes Permanent Agriculture (Af), Agriculture with vegetative bunds (Af/B), Ya cultivation (Y), Alluvial Island Cultivation (Al) and Homestead Gardens (At).
5.     Water:       This includes open water, lakes and major irrigation systems. Same as in detailed classes. Some dams though calculated do not have any water at all. (e.g. Myakan of Nyaung U District).
6.     Others:      This includes Swamp areas (Um), Sand (S) and Settlements (Ui).

Summarised data is presented in the Table (5).

Table 5.          Summary Landuse types of Dryzone


Serial

Land Use Type
Area (acres)
Area (sq.miles)
% of Total
1
Closed Forest
4,250,596
6,641.55
19.7%
2
Degraded Forest
1,815,843
2,837.25
8.4%
3
Shifting Cultivation
2,804,174
4,381.52
13.0%
4
Agriculture
11,962,395
18,691.24
55.5%
5
Other Landuse
422,273
659.80
2.0%
6
Water bodies
302,178
472.15
1.4%

Total
21,557,459
33,683.53
100%



One can quickly assumed that the dryzone area is under agriculture. Actually shifting cultivation in the area is more permanent in nature totalling 68.5% of total area under agricultural use.

5.         GENERATION OF SLOPE MAPS, EROSION SUSCEPTIBILITY MAPS, AND REGENERATION PLAN MAPS


After finishing the land use maps in time the data is given to the Dryzone Greening Department Officials. However analysis of the map data and for planning Remote Sensing and GIS Section has been given another task, erosion mapping and regeneration plan mapping. Slope maps, which are essential for erosion mapping and land capability mapping have never been produced in Myanmar for so large an area. However the task cannot be avoided and immediate action taken. The methodology is contributed by the "Watershed Management for Three Critical Areas Project". Manual interpretation of contour lines into slope polygons plus digital computerisation of those polygons into GIS format is the key in producing GIS slope maps for so large an area.

After the slope maps have been produced for entire project area in 1:633600 scale algorithm to produce erosion susceptibility data is formulated using the FAO procedures. The result is presented in detail in Table (6 ).



Table 6.            Erosion Susceptibility Data (Area/acres)

                                                                                                  (acres)           


Slight
Moderate
Critical
Grand Total
Sagaing District
826914.7195
13187.64
1355.562
841457.92
Shwebo District
2938869.91
90136.4
372.2522
3029378.56
Monywa District
1526572.646
123038.3
1706.794
1651317.76





Sagaing Division
5292357.275
226362.4
3434.608
5522154.24





Magway District
2192503.568
159528.1
27679.71
2379711.36
Minbu District
1388493.647
212070.7
7751.84
1608316.16
Thayet District
1612105.093
1228891
123099.7
2964095.36
Pakokku District
1824441.362
208863.1
18161.79
2051466.24
Gangaw District
822068.4977
448500.2
107964.5
1378533.12





Magway Division
7839612.168
2257853
284657.5
10382122.24





Kyaukse District
682541.9126
192773
41099.77
916414.72
Myingyan District
1319003.236
29503.74
8958.626
1357465.6
Nyaung_U District
362969.3825
178.4165
3415.401
366563.2
Yamethin District
1304962.688
257781.7
19434.84
1582179.2
Meiktila District
1299399.439
75377.22
55783.34
1430560





Mandalay Division
4968876.658
555614.1
128692
5653182.72





Dryzone Total
18100846.1
3039829
416784.1
21557459.2


Following Pie Chart shows the overall conditions for dryzone.


Modelling can be explained simply that steepness of slope degree and presence of land cover are determining factors for erosion. From the combination of this two factors in GIS three groups can be classified as slight, moderate and critical conditions of erosion susceptibility.

We can conclude here that regionally speaking erosion hazard is not much in dryzone. In fact the area is mostly flat ground. However moderate areas can pose problems and these figures gave foundation for formulating regenerating plan.

6.         REGENERATION MAPPING

This is based on the following factors:

1)                  Good forest covered areas do not need to be regenerated. In addition, well established agricultural areas cannot be reclaimed for afforestation. If these areas are below 27% slope there is no erosion danger. These areas are grouped in Class 1 "Areas not feasible or unnecessary for regeneration".
2)                  Areas not well covered by forest vegetation and also having slope of well over 36% need to be reforested. Plantations established here cannot be harvested for human use. These areas are suitable for watershed plantations and natural regeneration and termed "Class 2".
3)                  Areas not well covered by forest vegetation but the slope is between 26% and 36% are selected for establishing forest plantations, which can be utilised or harvested under scientific management. Community forestry sites, which will be using clearfelling practices, can be selected from such areas.
4)                  Established or permanent agriculture areas are difficult to reclaim under forestland. If they are on areas over 26% slope there exists erosion danger. These are put under "Class 4" which is suitable for agroforestry practices.

This plan concept is a combination of FAO Land Capability Mapping and Mekong Commission's Watershed Mapping. With the help of GIS systems data is easily calculated as presented in Table ( 7 ).



Table 7.            Data on Regeneration Plan of Dryzone Greening Department

Area/acres



Class 1
Class 2
Class 3
Class 4
Grand Total
Sagaing District
818256.447
6544.022732
12676.51037
3980.939936
841457.92
Shwebo District
2645311.371
300667.862
82665.00863
734.3184901
3029378.56
Monywa District
1520210.982
61776.58629
66576.55179
2753.640118
1651317.76






Sagaing Division
4983778.8
368988.471
161918.0708
7468.898544
5522154.24






Magway District
1752883.199
230403.897
362475.1021
33949.16213
2379711.36
Minbu District
1089460.394
202696.1812
314178.0246
1981.560521
1608316.16
Thayet District
1588104.201
91964.27008
1273579.089
10447.80015
2964095.36
Pakokku District
1519838.979
168100.3434
362667.5609
859.3564242
2051466.24
Gangaw District
985819.0002
19481.74332
355740.5377
17491.83883
1378533.12






Magway Division
6936105.773
712646.435
2668640.314
64729.71806
10382122.24






Kyaukse District
831489.824
32392.58714
43758.41527
8773.893571
916414.72
Myingyan District
1219914.616
76379.04778
56467.59051
4704.345544
1357465.6
Nyaung_U District
323518.1413
23355.19643
18957.67934
732.1829387
366563.2
Yamethin District
1229112.293
13136.44125
323047.3932
16883.07215
1582179.2
Meiktila District
1302426.392
36884.23903
83408.83556
7840.532924
1430560






Mandalay Division
4906461.267
182147.5116
525639.9138
38934.02713
5653182.72







Class 1
Class 2
Class 3
Class 4
Grand Total
DRYZONE TOTAL
16826345.84
1263782.418
3356198.299
111132.6437
21557459.2










Following Pie Chart shows the overall Dryzone situation.




Class 1
Areas not feasible or unnecessary for regeneration

Class 2
Areas requiring regeneration but on steep slopes


(> 36%) suitable for watershed plantations and natural regeneration
Class 3
Areas requiring regeneration but on gentle slopes (< 36%)


suitable for fuelwood plantations and commercial also

Class 4
Agriculture areas over 27% slope which require


 special treatments and endangering to erosion

Source
GIS Overlay of Landsat Satellite Data and Slope Maps


Remote Sensing and GIS Section



Planning and Statistics Division



Forest Department










Finished on 15:45, 24-10-1997 for Dryzone Greening Department


This is the basic data of Dryzone Greening Department's Thirty Years Plan. As the data has been generated in township level all planning concerning manpower, machinery, plantation targets etc. are made feasible.

7.     LAND DEGRADATION, ENVIRONMENTAL CONDITIONS AND SOCIO-ECONOMIC IMPACTS

Scientific studies need to be taken in this field. In this paper only the general background and what has been observed in the field can be discussed.

The main impact can be said in the following categories:
1)                  The degradation of water quality and quantity, controlling water related disasters
2)                  The degradation of arable soil
3)                  The fuelwood conditions

Well being of water sources and their sustainability is life and death for agriculture sector of the country. A survey has been carried out the status of the watersheds of important reservoirs and dams of the country. (Billy Ne Win, 2001). Following chart shows the status in Mandalay Division. The Watershed Management Division of Forest Department supplies source data. Classification is done by simple ratio of forestlands to the total area of watersheds.

Ratio of forested land to total watershed
Status
80% and over
Very good condition
60% to 79%
Good condition
40% to 59%
Moderate condition
20% to 39%
Poor condition
Under 20%
Critical condition




Most of the critical condition watersheds fall in the dryzone area. In figure (  ) one an clearly see the conditions of water body areas of Kyetmauktaung Dam and Myakan.







Figure( 1 ) Cattle grazing in the Kyetmauktaung dam, one can see green paddy fields near the water line

When people start talking about water related disasters they only think about the flash floods of the sandy streams like Dawng-Ne chaung. However in the 2001 rainy season because of high rainfall and in the absence of forest cover on the watersheds severe floods have induced great damage on both property and human lives in the core dryzone areas.

Water supply has been always a problem. Present conditions have been improved a lot by the efforts of Dryzone Greening Department and Water Resources Department. However the effect of using Ayeyarwady River as a main source can not be access at present. Experiences in many other countries have shown possible problems in transportation and long term sustainability of the projects.




Figure (  2 ) shows highly eroded bad lands. These areas can be identified from satellite images. No landuse is possible except reforestation now.

What is needing is soil conserving agricultural practices. Mahlaing and Nwahtogyi townships have very good examples. Fig. ( 3 ) shows well established Acacia trees nurtured in the agriculture fields. Stocking is as high as 40 trees per acre.




Fig. ( 3 ) Acacia trees as vegetative bunds in Nawhtogyi Township.

These nurture forests are also solving fuelwood problems. This type of Non-forest land fuelwood production should be encouraged together with the community forestry drive by both Dryzone Greening Department and Forest Department.

8.     CONCLUSIONS

1)                  Forest cover of Myanmar is in a degrading trend, which needs to be checked with effective measures.
2)                  Landuse and other databases required for planning purposes have been already produced and measures being implemented at present.
3)                  Sustainability of water resources both in quantity and quality is the major problem facing the socio-economic structure of dryzone area.
4)                  Scientific research should be promoted to monitor and evaluate the changing conditions of dynamic activities in the dryzone area.



References

1)      Forest Cover of Myanmar, the 1989 Appraisal. Kyaw Tint and Tun Hla, Yangon January 1991.
2)      Forest Resources Assessments Using Remote Sensing Data in Myanmar. Remote Sensing and GIS Section, May 2000.
3)      Terminal Report of Land Use and Land Cover Mapping of Dryzone, RS & GIS Section, August 1997.
4)      Application of GIS to Assessment, Monitoring and Management of Yezin Dam Watershed Area, Billy Newin, MSc. Thesis.


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