APPENDIX 1
Personnel Employed on the AGRITEX Fisheries Unit

Post	Experience, etc.	No. Employed
Brief Technical Adviser	Extensive international	1
F.A.O. Expert	Overseas experience	1
Supervisor	Extensive rational	1
Specialist Officers	Trained to degree standard	3
Fishery Extension Officers	Based at Fisheries Unit	3
Fishery Extension Officers	Based in three provinces	3
Secretary	Clerical skills and typing	1
Office orderly	Miscellaneous unskilled duties	1
Driver		1
	TOTAL	15

APPENDIX 2
Main Goals of the Fisheries Unit

AGRITEX/FAO/UNDP PROJECT ZIM/88/021 “SUPPORT FOR RURAL AQUACULTURE EXTENSION”

APPENDIX 3
People and groups consulted

AGRITEX
“Seminar group on GIS”	- Mr. B. de Gong Mr. G. Jiprie, Mr. A. Lilime, Mr. B. Hobbs
Mr. A. Andreasson	- Programme Manager - ALCOM
Mr. Ataman	- GIS Consultant - FAO, Rome
Mr. J. Barrett	- Attached to Tsetse Control Branch - University of Zimbabwe
Mr. S. Chimbuya	- Senior Ecologist, Dept. of National Parks and Wild life
Mr. Cuta	- “Dom Database” specialist - MEWRD
Dept. of Natural Resources	- Mr. Myofre, Mr. R. Mukwanda, Mr. G. Kurane.
Dept. of Surveyor-General	- Mr. F. Chunga, Mr. A Fussell, Mr. K. Philip, Mr. S. Banda, Mr. R. Movina, Mr. B. Mdambakuwa.
Early Warning
Unit-AGRITEX	- Dr. Mathema. Dr. Benadi
Fisheries Unit - AGRITEX	- Mr. Iambava, Mr. W. Bind, Mr. E Shonhuiva, Mr. Chimowa
Mr. Goodwin	- Secretary, National LIS/GIS Coordinating Committee,
Mr. Goodwin	c/o University of Zimbabwe
Mr. Gowera	- GIS Specialist, System Ltd.
Mrs. P. Haggerty	- Nutritionist, FAO, Rome
Dr. B. Hight	- Senior Aquaculturist - ALCOM
Mr. J. Holland	- “Dom Database” conversion - MEWRD
Mr. T. Jayne	- Dept. of Agricultural Economics - Univ. of Zimbabwe
Mr. Kahwa	- Bhaiman - National Steering Committee on Food and Nutrition - AGRITEX
Dr. H. Kaufmann	- Programme Manager, NRSF - Geological Survey
Mr. P. Loth	- Remote Sensing Specialist - Dept. of Meteorological Service
Mrs. Malaba	- Social and Economics Section - C.S.O.
Mr. C. Masterton	- Dept. of Land Survey, Univ. of Zimbabwe
Mr. Muyaka	- Agricultural Section C.S.O.
Mr. C. Nugent	- Chief Technical Adviser - Fisheries Unit - AGRITEX
Dr. V. Odenyo	- Chief Technical Adviser - Dept. of Meteorological Service
Mr. A. Pilime	- Land Use Planning - AGRITEX
Mrs. Tagwerti	- Chief Nutritionist - Min. of Health
Mrs. V. Ushenwokunze
- Obatolou	- Dept. of Veterinary Science, Univ. of Zimbabwe
Mr. U. Wijkström	- Aquacultural Economist - FAO, Rome

APPENDIX 4
Main Reports Studied and Bibliography

Burrough, P.A. (1986) “Principles of Geographical Information Systems for Land Resources Assessment” Blarendon Press, Oxford, England

FAO (1989) “Support for Rural Aquaculture” Project Document for project ZIM/88/021, ACC/UNDP, FAO Rome

FAO (1991) “Programme of Technical assistance to the Dept. of Agriculture, Technical and Extension Services (AGRITEX)” Project Document for project ZIM/91/005, ACC/UNDP, FAO, Rome

Haggerty, P.A. (1990) “Potential for Using the Geographical Information System to Integrate Food and Nutrition Data with Fishery Resource Data: Assessment Studies in Zambia and Zimbabwe” Report of a consultancy for project GCP/INT/467/NOR, FAO, Rome

Kent, G. and Josupeit, H. (1989) “The Contribution of Fisheries to Alleviating Malnutrition in Southern Africa” FAO Fisheries Circular No. 818. FAO, Rome

Kidd, D.W., R.H. Maxwell and P.H. Sloane (1991) “Mission Report for the Republic of Zimbabwe on Programme of Technical Assistance to AGRITEX (Project ZIM/90/003)” FAO, Rome

Meaden, G.J. and J.M. Kapetsky (1991) “Geographical Information Systems and Remote Sensing in Inland Fisheries and Aquaculture” FAO Fisheries Technical Paper No. 318, FAO, Rome

Ontario Ministry of Natural Resources (1991) “Project Management Plans - Research and Technical Branch Project” Toronto, Ontario, Canada, 1991

Pooley, M.R. (1991) “GIS and Remote Sensing Feasibility Study in the Western Region of Zimbabwe” Report Submitted to the Natural Resources Institute - Gan. 1991

Tyrie, G.R. (1991) “Position Paper for Project ZIM/86/018: Strengthening Land Use Planning in the Zambezi Valley” Paper presented at a Provincial Forum - 29–30 April 1991 in Morondeva, Zimbabwe

Wood-Sichra, U. (1991) “Strengthening Land Use Planning - Zimbabwe: Computerized Land Use Planning - Requirements and Preparations” Consultants draft report for project ZIM/86/018 - Harare, Zimbabwe - May 1991

APPENDIX 5
Main Relevant Maps Which are Readily Available

MAP “LAYER” AND SOURCE		COMMENTS
1.	Administrative Boundaries
a)	1:1,000,000 DSG Administrative areas (1982)	Shows main divisions down rural boundaries and municipalities but NOT wards. AGRITEX holds alter maps showing ward boundaries by province. Some changes have taken place since 1982. Some data is gathered to ward level but census data is gathered by enumeration district.
2.	Agro-ecological zones or Farming types
a)	1:1,000,000 DSG natural regions and farming areas (1984)	Very generalised. Shows types of farming area based on rainfall (mainly) - by 6 major categories. Older versions of this map appear to be more detailed.
b)	FAO-1:5,000,000 World D/B IIShown by enumeration areas in 9 classes. Urban area densities not shown and data related to 1982. There is also a population distribution map - one dot per 500 in rural areas plus proportional circles for urban areas. Will be updated after 1992 census.
3.	Dam site location
a)	1:250,000 DSG topographic	The 1:250,000 sheet shows dams down to approximately 5 hecares in size and gives good coverage. The 1:50,000 sheet plots dams down to about ½ hectare. This is a very good source of data - extremely accurate.
b)	1:50,000 DSG topographic
4.	Pattern of land holdings
a)	1:1,000,000 DSG land classification (1979)	Shows main subdivisions of land, e.g. large commercial farms, small commercial farms, resettlement land, communal land, state land, parks, other. Dated but otherwise could be used with care.
5.	Population density or distribution
a)	1:1,000,000 DSG density of rural areas (1982)	Shown by enumeration areas in 9 classes. Urban area densities not shown and data related to 1982. There is also a population distributio map - one dot per 500 in rural areas plus proportional circles for urban areas. Will be updated after 1992 census.
6.	Relief and Slopes
a)	1:1,000,000 DSG relief (1984)	Counter interval on 1:1,000,000=300 metres Counter interval on 1:250,000=100 metres Counter interval on 1:50,000=20 metres Very accurate and comprehensive. I have also seen a slope map at 1:1,000,000 - source unknown (see NRSF)
b)	1:250,000 DSG topographic
c)	1;50,000 DSG topographic
7.	River location
a)	1:1,000,000 DSG physical or hydrological (1984)	Well documented for all country down to 1:50,000, but no indication of perennial nature of flow. Dpt. of Water Resources has data on flow from several hundred gauging stations.
b)	1:250,000 DSG topographic
c)	1:50,000 DSG topographic
d)	1:5,000,000 FAO - from W D/B II
8.	Soils
a)	1:1,000,000 DSG provisional soil map	Recently out of print but copies held by AGRITEX. Very generalised in that soil maps are inefficient on helping to determine optimum pond location at a macro-soil. More detailed information from Dept. of Research and Specialist Services - Mr. Knynda (Pedology)
b)	1:5,000,000 - FAO Rome W D/B II
9.	Transport
a)	1:1,000,000 DSG (several maps show roads and railways)	Main roads and all rail links shown on 1:1,000,000 sheet. Minor roads additionally shwown on larger scale maps. Accurately plotted - reliable data.
b)	1:250,000 DSG topographic
c)	1:50,000 DSG topographic
d)	1:5,000,000 FAO, Rome W D/B II

APPENDIX 6
Availability and Quality of Maps for Other Parameters

PARAMETER		COMMENTS
1.	Agglomeration	This constitutes groupings of fish producers who may help one another. The data could eventually be inferred by plotting from the dam dom database, or a pond database, all locations where production was known to occur.
2.	Availability of feeds	This is very difficult to establish since the is virtually no regular or reliable source of crop by-products. Sources of processed fish feeds are easily mapped.
3.	Availability of fish seed	Only very crude indications could be mapped. Though the six main hatcheries could be plotted, most seed is probably obtained by “trading” between neighboaring fish producers. The actual distribution of producers could therefore be a good “proxy”.
4.	Availability of manures	Maps showing farming type distributions could give a clue to this. AGRITEX should have more accurate data on animal distributions. The location of “feedslots” could be useful.
5.	Location of fishery extension workers	Some 60 of AGRITEX's extension workers have some fisheries training. It seems that their duty location could be mapped.
6.	Markets	Population density and distributions could provide fair, but dated data. This could be used in conjunction with maps showing communal lands to show “target markets”. The limited processing plants are easily plotted. No data on purchasing power of markets.
7.	Water quality	Though this is seldom a problem - though there is recent news - paper evidence of pollution - but little reliable data is available. Areas near large towns, mining areas or intensive farms could be larger.
8.	Water temperatures	A “proxy” measure can be obtained from average air-temperatures, temperature ranges - and altitude can also be a good indicator.

APPENDIX 7
D A M D A T A S H E E T

GENERAL INFORMATION

Dam Number : 115

Location Code	: 1 0 3 1 02 0 99
Province	: MASHONALAND CENTRAL		Administrative District	: GURUVE
Council	: GURUVE	DC	Division	: CHIPURIRO	CL
Ward/Location	: UNSPECIFIED	WARD	Locality	: SIPOLILO TTL
Grid Reference	: T S 544 582		Map Number	: 1630D1
Funding Agency	:		Implementing Agency	: MEWRD
Dam Name	:		Hydro Zone	: C
River Name	: DANDE		Hydro SubZone	: H1
			Site Number	: 33
Date Completed	:		Water Right Number	: 10665
Natural Region	: I		W.D.A.C. Code
Water Usage	: [ ] Urban	[ ] Agricultural	[ ] Primary
	[ ] Industrial	[ ] Institutional	[ ] Other
	[ ] Mining	[ ] Government Water Supply Station
Place Supplied	:
Owner Code	: MEWRD
Maintenance Code	: MEWRD

TECHNICAL PARAMETERS

Catchment Area	:	0.0	km2	Design Flood	:	0	m3/5
Mean Annual Runoff	:	40	mm	Coefft of Var (MAR)	:	120	%
Dam Construction Code	: UNKNOWN
FS Capacity	:	340	th.m3	FS Surface Area	:	0.0	ha
Live Capacity	:	340	th.m3	Height of Dam Wall	:	0	m
10 % Yield	:	0	th.m3	FS Water Depth	:	0	m
				Risk Factor for
Alternative Yield	:	0	th.m3	Alternative Yield	:	0	%
Remarks	:

DATABASE ADMINISTRATION DETAILS

Created by	Last Updated by	Verified by	Date Printed
09/08/1989 JN	11/10/1989 AG	25/02/1991 SYS	April 12, 1991

APPENDIX 8

DAM NAME

RIVER NAME

GRID REF

MAP NO

DATE COMPL

USAGE VIMAIGPO

PLACE SUPPL

OWNER CODE

CONSTR CODE

FS CAPA

FS AREA

WALL HT

FS DEPTH

mm/yy

(th m3)

(ha)

(m)

D A M M A I N T E N A N C E L I S T I N G

Report selection criteria:
Generated:	April 10, 1991	at 6:44 PM

MAINTENANCE AGENCY: OTHER

PROVINCE: UNSPECIFIED		ADMIN DISTRICT: HYDRO					AUTHORITY: HYDRO DC
DIVISION: HYDRO1 CL
LOCATION: HYDRO DSC		LOCATION CODE:		9.11.111.111
			703462	2032B3	00/00		PRIVA UNKNOW	0	0.0	0
SUMMARY: HYDRO DSC		1 DAMS					Average:	1234,176	0.0	0
SUMMARY: HYDRO DSC		1 DAMS					Maximum:	0	0.0	0
SUMMARY: HYDRO CL		1 DAMS					Average:	1234,176	0.0
SUMMARY: HYDRO CL		1 DAMS					Maximum:	0	0.0
DIVISION: HYDRO3 CL
LOCATION: HYDRO3 DSC		LOCATION CODE: 9.11.113.111
			629082	2028D1	00/00	A	PRIVA UNKNOW	20	0.0	0
			796134	2028D1	00/00	A	PRIVA UNKNOW	0	0.0	0
SUMMARY: HYDRO3 DSC		2 DAMS					Average:	20	0.0	0
SUMMARY: HYDRO3 DSC		2 DAMS					Maximum:	20	0.0	0
SUMMARY: HYDRO3 CL		2 DAMS					Average:	20	0.0	0
SUMMARY: HYDRO3 CL		2 DAMS					Maximum:	20	0.0	0
DIVISION: HYDRO4 CL
LOCATION: HYDRO4 DSC		LOCATION CODE: 9.11.114.111
	SHANGANI TRIB		582085	1929C4	00/00	A	PRIVA UNKNOW	5	0.0	0
	NQUAESSE		425615	2028A2	00/00	A	PRIVA UNKNOW	132	0.0	0
			354694	2028A2	00/00	A	PRIVA UNKNOW	89	0.0	0
SUMMARY: HYDRO4 DSC		3 DAMS					Average:	75	0.0	0
SUMMARY: HYDRO4 DSC		3 DAMS					Maximum:	132	0.0	0

APPENDIX 9

D A M L O C A T I O N S

A C A W I D S R E P O R T

Generated April 10, 1991 at 7:21 PM

Description:

Province : UNSPECIFIED		Admin District : HYDRO
Authority : HYDRO	DC
Division : HYDRO1	CL	Location : HYDRO	DSC	Code: 9 1 1 1 11 1

Map Number	Grid Reference				Dam Number	Locality	Dam Name	River Name		Hydro Zone
1731D3	V	R	440	100	2560	BOTHAS RUST ESTATE		NYAMBUYA		D IY3
1732C2	V	R	398	520	3300	BUDJIGA TRIB		NYAGADZI TRIB		D R4
1828C4			295	110	7438		MANASA			A S2
1828C4			562	68	7439		MATCHENA	SHANGANI TRIB		A S2
1828C4			418	136	7440		SINGWANGOMBE	SINGWANGOMBE		A S2
1829C3	Q	K	196	186	7132	THE EXCHANGE	EXCHANGE BLOCK	GWERU		A S3
1929B2	R	J	63	797	2326	KWEKWE TTL		MLEZU		C VN3
2032B3			703	462	6641					F FUZ
Division : HYDRO3						CL	Location :	HYDRO3	DSC	Code: 9 1 1 1 13 1
2028D1			634	55	8501					B BT4
2028D1			629	82	8503					B BT4
2028D1			796	134	8505					B BT4
2129B3			689	434	8229					B VZ1
Division : HYDRO4						CL	Location :	HYDRO4	DSC	Code: 9 1 1 1 14 1
1929C4			582	85	1226			SHANGANI TRIB		A S6
2028A2			425	615	7118			NQUAESSE		A G6
2028A2			354	694	7123					A G6
							End of Report

APPENDIX 10
Possible Fields to Enter on the “Dom Database”

A.	PHYSICAL FACTORS	B.	OTHER GEOGRAPHICAL
1.	Frequency of drying up (x grs. in 10 grs.)	1.	Population density (ward)
2.	Dry season area	2.	Distance to nearest bus centre
3.	Wet season area	3.	Distance to nearest district centre
4.	River permanent or reasonal	4.	Distance to provincial capital
5.	Water temperature - mean- range	5.	Associated irrigation or livestock
6.	Drainage possibility	6.	Associated pond culture
7.	Altitude	7.	Agro-ecological zone
8.	Batchment size	8.	Distance from main road
10.	Batchment soils
11.	Batchment geology	D.	FISHERIES FACTORS
12.	Run-off
		1.	Species present (A, B, C, D…)
C.	LIMNOLOGICAL FACTORS	2.	Stocking history (species, dates, numbers)
		3.	Latest annual catch
1.	pH	4.	Mean annual catch
2.	Alhalinity (summer - winter)	5.	Since (1st record)…
3.	Conductivity	6.	Input of manures (qty., type)
4.	Transparency	7.	Input of feeds (qty., types)
		8.	Inorganic inputs
E.	EXTENSION
		F.	BIOLOGICAL FACTORS
1.	Nearest extension officer
2.	Netting group name	1.	Plankton volume/100 litres
3.	Date of formation	2.	Weed infestation
4.	Date of training	3.	Wood code (A, B, C, D…)
5.	Date started activities	4.	% area affected
6.	No. of members	5.	Presence of crocodiles/hippos
7.	Date of latest returns	6.	Other predation
8.	Part/full time

APPENDIX 11

Dam	Nyamasanga
Surface area	10ha
Date of assessment	3/2/91

Species distribution

Seine netting

No drag netting was done because of the nature of the shoreline which had heavy vegetative growth and infested with the oxygen weed.

Gill netting

The dam was said to be very deep by the locals. This was true as evidenced by the once huge trees which were now submerged. However, the dam from the boat appeared to be a few metres deep in some places. This was because of very heavy infestation by the oxygen weed. This could limit the carrying capacity of the dam. The dam still has a big potential.

species	number	weight (kg)	% number	% weight
O. moss	110	40.05	73.83	60.34
C. gariep	38	26.25	25.50	39.55
L. cylind	1	0.75	0.67	0.11
Total	149	66.38	100.00	100.00

CATCH PER UNIT EFFORT

Individual net length is 45 metres.

mesh (mm)	number	weight (kg)	no./100m	wt./100m
51	nil
51	2	425	4.44	0.94
64	5	1400	11.11	3.11
64	10	3100	22.22	6.89
76	42	10150	93.33	22.56
76	5	1850	11.11	4.11
89	13	3400	28.89	7.56
89	5	2350	11.11	5.22 *
102	24	15500	53.33	34.44 *
102	6	4600	13.33	10.22
114	13	6550	28.89	14.56
114	12	6350	26.67	14.11
127	7	5400	15.56	12.00
127	5	5300	11.11	11.78

Nets above 89 mm mesh size should be used on this dam.

FISH FARMER/FISH POND CENSUS
AGRITEX 1990	FISH POND INFORMATION
		AP SPECIALIST
PROVINCE		DAEO
DISTRICT		AEO/DISTRICT SPECIALIST
		AE SUPERVISOR
		AE WORKER

FARMER NUMBER

POND NO.

POND AREA

WATER SOURCE

DATE CONSTR

COST CONSTR

CONSTR QUALITY

DRAINABLE

DATE STOCKED

O.M.

T.R.

OTHER SPECIES

PRODUCTION SYSTEM

LAST HARVEST

IRRIGATION USE

page

FISH FARMER/FISH POND CENSUS
AGRITEX 1990	FISH FARMER INFORMATION
		AP SPECIALIST
PROVINCE		DAEO
DISTRICT		AEO/DISTRICT SPECIALIST
		AE SUPERVISOR
		AE WORKER

WARD

VILLAGE

FARMER

FARMER NUMBER

SEX

H/HOLD SIZE

FARMING ACTIVITIES

STATUS

OTHER ACTIVITIES

NO OF PONDS

TOTAL AREA

CASH

SUBS

ASSOC. MEMBER

OUTLOOK

page

APPENDIX 12

Geographic Information System for ZIM/86/018

1 EQUIPMENT

EQUIPMENT Requirements for a “SMALL” GIS

Updated: June 15 1991

item	Sample Brand Names	price in US$
item	Sample Brand Names	unit	total
HARDWARE
80386 processor	CoapuAdd 333 Tower		7,000
math co-processor
33MHz
8Mb RAM
hard cache with 1 Mb RAM
keyboard
3.5" 1.44 Mb drive
5.25" 1.2Mb drive
150Mb hard disk
1 parallel port
3 serial ports
VGA card and colour mon.
1024×768 resolution
mouse
monitor - monochrome			150
external tape backup (250Mb)	IRWIN, Mountain		1,200
digitizer	SummaSketch 12×12 Pro II		500
colour plotter	HP PaintJet		1,500
dot matrix printer	EPSON LQ-2550		1,100
laser printer	HP Laserjet IIP		1,500
scanner	DFI Handy Scanner 3000 Plus		120
overhead tablet	Proxima Data Display Multi-Mode		2,200
modem, internal, 2400 bd	Hayes, Everex		250
FAI			500
UPS	American Power Conversion 450AT		400
surge supressor	Tripp-Lite ISOTEL		70
SUBTOTAL HW			16,490

Mission Report U. Wood-Sichra ZIM/86/018 - May 1991

G-1