1. WILDLIFE MONITORING Greg Stuart-Hill World Wildlife Fund This focuses on wildlife (fauna) monitoring. Other natural resource monitoring systems (e.g. veld, fish, forestry) are also important

2. Monitoring is needed for adaptive management Yes Modify objectives or management No Are objectives being achieved? The context: Monitor to see if objectives being achieved Set objectives (land-use planning) Manage according to objectives

3. Population Estimate Population Trend Animal Distribution Sex/Age MANAGEMENT & USE Introductions Removals Trophy Quality Tourism Satisfaction Water Anti-poaching work What should be monitored? Body Condition Population Ecol Problem Animals Poaching Mortality Rainfall Disturbance --------- WILDLIFE ------------ (All species) IMPACTS (Important species)

4. Need: To know how many animals there are, each year. Why? To estimate off-take quotas, and To determine drought risk & livestock competition How? Use road counts/aerial census/cybertracker counts Use correction-factors (eg transect width, distance, etc) For rare species (eg rhino) use known group/individuals 1.1 Population Estimates Output: ……..a Table for each year! Numbers are very difficult to obtain – most census methods underestimate wildlife populations ! SPECIESCOUNT NUMBERPOPULATION ESTIMATE Kudu254300 Eland116150 Giraffe2350 Elephant2270 etc Datasheet:

5. 1.2 Population Trend Output: …provide a graph for each species! Counts do not have to be ‘accurate’ – a change in an index over time is fine! Be careful of using the last point on the graph – this could be an error - so check the sex-age informationsex-age Years Kudu Here’s a problem! Zebra Years Great! Need: to know what is happening to the wildlife populations. Why? Is wildlife management sustainable How? Fixed Foot Patrols, fixed road counts, Cybertracker Counts and Aerial census. Can use an index! ….... But sampling effort must be controlled ! ….. Datasheet:

6. Output : 1.3 Game Distribution Need a Map showing where each species is concentrated Why? To identify wildlife concentration areas for land- use planning purposes (also to see monitor distribution changes over the years) How? Use Cyber tracker or Grid blocks for all sightings (NB also record where animals were not seen) Data collection: Lets build a lodge here because this is where most of the game is Why not put a borehole here to utilize this area Year 1Year 10 Land use planning Monitoring

7. Output: 1.4 Sex-Age Ratio Monitoring Male : Female Ratio It is necessary to know the ratio of Adult male to female because: Live game capture/sale normally results in higher proportions of females - with potentially devastating impacts to the population To properly evaluate breeding success, you need to view number of young in relation to the number of females For input into population modeling which is used to predict population growth and future harvest potential and stocking rates Need to determine ratios between adults, sub-adults an juveniles Why? Use this information as an early warning of the current ‘health’ of the wildlife population Datasheet : Young: Adult Ratio If the ratio of young to adults diminishes then this is an early warning that the population is in trouble If the ratio between sub- adults and juveniles changes this gives an indication of post breeding survival ability – i.e. useful to evaluate impact of predation

8. 2.1 Mortalities Output 1: a Trend graph of mortalities over years Output 2: Map showing where mortalities are Map: Showing mortalities If sudden Increase Also need to know the cause of mortalities (i.e. is it due to poaching, disease, drought?) But only if they these are abnormally high Need: To keep track of mortalities Why? To alert management if mortalities suddenly rise & plan action based on the cause (e.g. poaching, disease, drought) Years Mortality What is going on here? What is causing these abnormally high mortalities? Datasheet:

9. 2.2 Poaching Need: To track poaching as a threat to wildlife Why? To understand the threat to wildlife and gauge community support for the Conservancy Years Poaching Poaching is getting bad! Datasheet: Output: If Increasing 1 elephant, 1 rhino 1 leopard - - Commercial 1 kudu 8 kudu, 1 giraffe 1 kudu, 1 duiker Meat Non-citizens 2Other Citizens 10Neighbors 2Residents CasesCATEGORY A Table breaking down incidents for each year Graph - is poaching being controlled? Map - where poaching is taking place? Table - who is poaching & what is being taken? Map: Showing where poaching is occurring

10. 2.3 Problem Animals (PAC) Need: To track problem animal incidents, identify those species causing problems, evaluate damage caused & record efforts that go into reducing conflict with problem animals Why? To understand the impact of wildlife on people & find ways to reduce conflict and compensate individuals. How? Keep record of all PAC incidents. Track attempts to reduce conflict (e.g. fencing, water protection, kraaling). Datasheet: Output:

11. 2.4 Rainfall Need: To track rainfall as a threat & opportunity for wildlife Why? To separate the effects of rainfall from the impacts of human activity on wildlife and help explain population trend Datasheet: Output: Map: Showing where rainfall occurred A Graph – is rainfall above or below average? Years Its been a good season! A Map - where did rain fall or not fall?

12. 2.5 Disturbance (e.g. livestock, cropping, tourists) Need: To track other land-use activities such as cropping, livestock farming, tourist activity Why? To understand the threat of these disturbances and gauge if these have impacted on wildlife Disturbance is affecting the elephants Data Collection: Map areas of cropping and livestock farming Map areas of tourism activity and keep track of tourism numbers on various roads Record ‘flight’ distance (at what distance does game raun away from a vehicle) of game on an annual basis Record how far wildlife will come within a homestead Keep a note if animals only drink at night Output: Graph - Relate an index of disturbance (e.g. ‘flight distance’ to indices of human impacts (e.g. settlement, tourism, etc). Map - Also compare wildlife distribution maps with maps of human activity.

13. 3.1 Game Introductions & Removals Need: To keep a record of how many animals are Introduced or Removed Why? To know if continued Introductions/Removals are wise, & explain any changes in the population trend-graphs How? Keep a record of all animals that are Introduced and all animals that are Removed from the area. Output: ………..a Table for each year! SPECIESRemovedIntroduced** Kudu30- Eland15- Giraffe3- Zebra-100 Gemsbok-50 ** Need to also check on success of each introduction Also refer to the following pages in this manual for: 1. Game Removals 2. Game introductions These pages will explain in greater detail the ‘Removal’ and ‘Introduction’ monitoring systems

14. 3.1.1 Game Removals (“Harvesting”) How ? Each time animals are removed (sold or hunted) keep a record of: how many animals are removed against quota sex of removed animals for animals hunted, record trophies Output : …..a Table for each year! SPECIESQuotaRemoved Male:Female Kudu403020:10 Eland15 10:5 Giraffe333:0 Zebra2-- Gemsbok5-- (see ‘Trophy Quality’ in the manual)

15. 3.1.2 Game Introductions Output: …Distribution map and a Table SPECIESNumber Introduced SurvivalBreeding Adult:Young Zebra10060%100:40 Gemsbok10095%100:3 If Breeding Rates are less than a critical level (level varies per species) then this indicates that a species will not thrive even though it survived survived the introduction event How? 1. Keep a record of how many animals are introduced 2. Also check on the success (i.e. survival & breeding) of each introduction by : Conducting sex-age survey to determine ratios between adult females and young (see ‘sex-age monitoring’ in this manual) Monitor marked (collared) animals to determine survival rates and ensure they are still in the area. OK! If Survival Rates are less than 90% for a species then a mortality report should be attached to the table OK!

16. 3.2 Trophy Quality Need: to track change in Trophy Quality (e.g. tusk/horn size) Why? Trophy hunting will not affect wildlife population growth (excluding predators), but too much hunting results in poor trophy size - this leads to a lower concession value. How? From trophy hunter records Output: Datasheet : Permit# SpeciesSex Trophy (L)Trophy (R) ClientPH Tusk Size Years Lower the elephant quota! - we have taken too many. Hunters can only find small tuskers …provide a trophy size trend graph for each species, over years!

17. 3.3 Tourist Satisfaction Output: Need to track game viewing success (i.e. number of sightings, number of species, etc). Why? know game viewing potential for planing & marketing, to evaluate whether each animal population is at adequate numbers to satisfy tourists. to assess whether a problem species could be reduced without harming game viewing Species Sighting index Comments of sighting satisfaction per species Datasheet : Elephant Years If we reduce elephant numbers it will save us a lot of damage and have no effect on game viewing Years Lion We should re-introduce lions - they are key to tourism and are not being seen anymore … provide a ‘game viewing success’ graph for each species, over years!

18. 3.4 Water Points Need: to closely monitor and repair any water installation, particularly in the dry season. Why? Water is critical to wildlife, people and livestock. There is considerable conflict around this resource and so it is essential to ensure that water installations function. How? Each water point should be visited on a regular basis and if necessary repairs made immediately. Datasheets : Bore #LocalityDate Protection against Presently working? Comments, including repairs if any Damage by? ElephantTheft

19. 4.1 Important Species: Population Performance Need: To to track population performance of species such as predators, elephant, rhino, disease free buffalo, etc Why? To know how many there are and how their populations are performing. How? Normal count methods do not work for rare or nocturnal species. Use specially designed systems (e.g. radio tracking, known group). This usually involves specialist research teams from MET, SRT, etc. Output : Months between calves Years Rhino inter-calving period is suddenly increasing. There seems to be a problem ?

20. 4.2 Important Species: Body-Condition Need: To track body condition of critical species such as Rhino, disease free Buffalo, Roan, etc Why? To serve as an early warning of a nutritional (drought) problem. How? Estimate body fat on a sample of animals each month and graph. Lets provide extra feed for the buffalo! I foresee problems this winter Output: Body Fat Years