Elephant Database
African Elephant Specialist Group

Mozambique, 1998

All Years for Mozambique: 201620132007200219981995

1998 Summary Totals for Mozambique

Data Category Definite Probable Possible Speculative
Aerial or Ground Sample Counts6,8981,9461,9460
Informed Guesses002,5500
Total6,8981,9464,4960

No changes between current and previous report.

Mozambique : Elephant Estimates

Survey Details2 Number of Elephants Area Map Location
Input ZoneTypeReliab.YearEstimate95% C.L. SourcePFS3 (km²) Lon. Lat.
GazaIG3D1998200Munthali, pers. comm., 19981
Lugenda/RovumaIG3D1998300Munthali, pers. comm., 19981
Magoe DistrictAS2B1995137 187Mackie & Chafota, 199533,815 30.8E 15.7S
ManicaIG3D1998250Munthali, pers. comm., 19981
Maputo and Futi CorridorIG3D1998300Munthali, pers. comm., 19983900 32.8E 26.4S
Niassa and BufferAS2B19988,707 1,937Gibson, 1998242,349 37.2E 12.1S
ZambeziaIG3D19981,500Munthali, pers. comm., 19981

* Range of informed guess

1Key to Causes of Change (only tracked since 2007): DA: Different Area; DD: Data Degraded; DT: Different Technique; NA: New Analysis; NG: New Guess; NP: New population; PL: Population Lost; RS: Repeat Survey (RS ́ denotes a repeat survey that is not statistically comparable for reasons such as different season); –––: No Change

2Key to Survey Types: AC: Aerial Count, not specified; AS: Aerial Sample Count; AT: Aerial Total Count; DC: Dung Count; EX: Extrapolation from GIS; GD: Genetic Dung Count; GS: Ground Sample Count; GT: Ground Total Count; IG: Informed Guess; IR: Individual Registration; OG: Other Guess. Survey Type is followed by an indicator of survey quality, ranked from 1 to 3 (best to worst). Survey Reliability is keyed A-E (best to worst) as outlined in this table.

3PFS: Priority for Future Surveys, ranked from 1 to 5 (highest to lowest). Based on the precision of estimates and the proportion of national range accounted for by the site in question, PFS is a measure of the importance and urgency for future population surveys. All areas of unassessed range have a priority of 1. See Introduction for details on how the PFS is derived.

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