| Literature DB >> 24367493 |
Peter A Lindsey1, Jonathan Barnes2, Vincent Nyirenda3, Belinda Pumfrett4, Craig J Tambling5, W Andrew Taylor6, Michael t'Sas Rolfes7.
Abstract
The number and area of wildlife ranches in Zambia increased from 30 and 1,420 km(2) in 1997 to 177 and ∼6,000 km(2) by 2012. Wild ungulate populations on wildlife ranches increased from 21,000 individuals in 1997 to ∼91,000 in 2012, while those in state protected areas declined steeply. Wildlife ranching and crocodile farming have a turnover of ∼USD15.7 million per annum, compared to USD16 million from the public game management areas which encompass an area 29 times larger. The wildlife ranching industry employs 1,200 people (excluding jobs created in support industries), with a further ∼1,000 individuals employed through crocodile farming. Wildlife ranches generate significant quantities of meat (295,000 kg/annum), of which 30,000 kg of meat accrues to local communities and 36,000 kg to staff. Projected economic returns from wildlife ranching ventures are high, with an estimated 20-year economic rate of return of 28%, indicating a strong case for government support for the sector. There is enormous scope for wildlife ranching in Zambia due to the availability of land, high diversity of wildlife and low potential for commercial livestock production. However, the Zambian wildlife ranching industry is small and following completion of field work for this study, there was evidence of a significant proportion of ranchers dropping out. The industry is performing poorly, due to inter alia: rampant commercial bushmeat poaching; failure of government to allocate outright ownership of wildlife to landowners; bureaucratic hurdles; perceived historical lack of support from the Zambia Wildlife Authority and government; a lack of a clear policy on wildlife ranching; and a ban on hunting on unfenced lands including game ranches. For the wildlife ranching industry to develop, these limitations need to be addressed decisively. These findings are likely to apply to other savanna countries with large areas of marginal land potentially suited to wildlife ranching.Entities:
Mesh:
Year: 2013 PMID: 24367493 PMCID: PMC3867336 DOI: 10.1371/journal.pone.0081761
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Location of properties of game ranchers and non-game ranchers surveyed.
Perceived positives and negatives associated with game ranching as a land use, and perceptions on what would have to change for non-game ranchers to engage in wildlife-based land uses.
| % of ranchers | |||
| Ranchers believing wildlife ranching to be increasing in prevalence | 48.6% | ||
| Ranchers believing wildlife ranching industry to be static in size | 27.2% | ||
| Ranchers believing wildlife ranching to be declining in prevalence | 21.9% | ||
| Ranchers who do not know what trends in the industry are | 2.3% | ||
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| Conservation contribution | 44.8% | 46.8% | 41.2% |
| Enables use of marginal land | 22.9% | 21.3% | 29.4% |
| Food security/meat/forex/employment | 17.7% | 8.5% | 35.3% |
| Profitable | 32.3% | 8.5% | 11.8% |
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| Poaching | 86.0% | 83.0% | 58.8% |
| Red tape/lack of government support | 71.0% | 70.2% | 52.9% |
| High capital start up costs | 12.9% | 48.9% | 23.5% |
| Large land requirements/hard to get land | 15.1% | 23.4% | 41.2% |
| Lack of clear ownership of wildlife | 15.6% | 17.0% | 33.3% |
| Game ranching is not very profitable | 9.5% | 23.4% | 11.1% |
| It is difficult to get bank loans for game ranching | 6.5% | 12.8% | 5.9% |
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| Poaching has to be better controlled | 42.1% | ||
| Would need financial support or to be in a stronger financial position | 39.4% | ||
| Less red tape/improved government support | 31.5% | ||
| Would need more land/government needs to make more land availablefor game ranching | 26.3% | ||
| Not interested | 23.4% | ||
Land use and income on extensive and fenced game ranches in Zambia.
| % of ranches generatingincome from land use | Mean % of individual ranchers’income (% wildlife income) | Mean % of total income (allranchers’ income combined) | |
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| Livestock | 0% | 0% | 0% |
| Agriculture | 0% | 0% | 0% |
| Any form of commercial wildlife use | 90.0% | 100% | 100% |
| % of wildlife income: | |||
| Trophy hunting | 77.8% | 81.9% | 88.7% |
| Ecotourism | 55.6% | 17.8% | 10.9% |
| Sale of unguided hunts | 22.2% | 0.4% | 0.4% |
| Live game sales | 0% | 0% | 0% |
| Sale of game meat | 0% | 0% | 0% |
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| Livestock | 47.6% | 30.0% | 52.5% |
| Agriculture | 36.5% | 31.9% | 38.3% |
| Any form of commercial wildlife use | 54.0% | 38.1% | 9.2% |
| % of wildlife income | |||
| Trophy hunting | 60.6% | 31.2% | 28.4% |
| Sale of game meat | 54.6% | 18.6% | 10.2% |
| Live game sales | 40.6% | 18.6% | 6.3% |
| Ecotourism | 27.2% | 20.1% | 50.0% |
| Unguided hunts | 25.7% | 7.6% | 5.0% |
• Excluding ranches awaiting title.
The off-take of wildlife as trophies and for meat on Zambian game ranches and associated meat production.
| Hunted as trophies | Meat produced from trophy hunting | Hunted for meat | Meat produced from meathunting | Totalhunted | Total meat produced | Population on game ranches | % harvested (animals hunted plus captured live) | Max potentialoff-take | Maximum potential meat production | |
| Buffalo | 34 | 11,900 | 2 | 586 | 36 | 12,486 | 2,107 | 1.71% | 16.6% | 13,003 |
| Bushbuck | 106 | 3,498 | 244 | 6,344 | 350 | 9,842 | 6,015 | 5.82% | 44.1% | 70,008 |
| Bushpig | 61 | 2,340 | 142 | 4,729 | 203 | 7,069 | 5,589 | 3.63% | 35.6% | 65,987 |
| Duiker Blue | 0 | 0 | 0 | 0 | 0 | 0 | 5,572 | 0.00% | 84.0% | 0 |
| Duiker Com | 62 | 579 | 42 | 364 | 104 | 943 | 936 | 11.09% | 62.5% | 6,107 |
| Eland | 42 | 13,944 | 101 | 28,583 | 143 | 42,527 | 1,558 | 9.17% | 18.4% | 81,108 |
| Elephant | 2 | 3,300 | 0 | 0 | 2 | 3,300 | 1,710 | 0.12% | 10.3% | 458,101 |
| Giraffe | 0 | 0 | 1 | 586 | 1 | 586 | 321 | 0.31% | 13.8% | 26,015 |
| Grysbok | 15 | 30 | 0 | 0 | 15 | 30 | 2,130 | 0.70% | 91.1% | 9,894 |
| Hartebeest | 60 | 5,008 | 24 | 1,783 | 84 | 6,791 | 2,051 | 4.11% | 26.4% | 40,036 |
| Hippo | 8 | 4,080 | 1 | 784 | 9 | 4,864 | 1,530 | 0.59% | 12.5% | 149,704 |
| Impala | 186 | 5,766 | 2,075 | 63,080 | 2,261 | 68,846 | 27,998 | 8.08% | 39.8% | 335,001 |
| Klipspringer | 0 | 0 | 0 | 0 | 0 | 0 | 560 | 0.00% | 64.8% | 2,178 |
| Kudu | 76 | 12,464 | 226 | 24,422 | 302 | 36,885 | 6,287 | 4.80% | 25.6% | 173,544 |
| Lechwe | 56 | 3,441 | 98 | 5,341 | 154 | 8,782 | 1,513 | 10.18% | 34.3% | 28,287 |
| Nyala | 2 | 122 | 0 | 0 | 2 | 122 | 95 | 2.10% | 30.0% | 1,340 |
| Oribi | 21 | 164 | 0 | 0 | 21 | 164 | 730 | 2.81% | 64.6% | 3,626 |
| Ostrich | 0 | 0 | 5 | 620 | 5 | 620 | 378 | 1.32% | ? | ? |
| Puku | 104 | 4,363 | 368 | 13,653 | 472 | 18,016 | 4,904 | 9.62% | 34.5% | 62,686 |
| Reedbuck | 51 | 1,869 | 125 | 3,988 | 176 | 5,857 | 2735 | 6.42% | 39.8% | 34,682 |
| Roan | 31 | 4,619 | 0 | 0 | 31 | 4,619 | 1,647 | 1.88% | 21.5% | 48,902 |
| Sable | 84 | 10,329 | 6 | 726 | 90 | 11,055 | 3,682 | 2.45% | 22.9% | 102,052 |
| Sitatunga | 17 | 1,087 | 0 | 0 | 17 | 1,087 | 328 | 5.27% | 38.9% | 4,099 |
| Steenbok | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.00% | 63.0% | 450 |
| Tsessebe | 8 | 639 | 5 | 323 | 13 | 962 | 410 | 3.24% | 29.7% | 7,871 |
| Warthog | 82 | 3,300 | 228 | 8,618 | 310 | 11,918 | 4,831 | 6.42% | 38.1% | 69,576 |
| Waterbuck | 67 | 9,514 | 87 | 10,467 | 153 | 19,981 | 2,987 | 5.12% | 24.1% | 87,236 |
| Wildebeest | 7 | 966 | 27 | 3,194 | 34 | 4,160 | 630 | 5.40% | 26.5% | 19,722 |
| Zebra | 38 | 6,308 | 38 | 6,688 | 76 | 12,996 | 2,060 | 3.69% | 22.3% | 80,757 |
| 1,220 | 109,630 | 3,845 | 184,879 | 5,064 | 294,508 | 91,411 | 1,981,972 |
Including animals shot on unguided hunts, and those culled by ranch management to produce meat.
Estimated wildlife populations in national parks (data available for 61,462 km2 of the ∼64,000 km2), game management areas (GMAs, data available for 159,654 km2 of the ∼166,000 km2) (together ‘protected area network’) and game ranches (5,829 km2) in Zambia (excluding species of bushbuck size and smaller, and hippopotamuses for which count data were not available).
| Species | Protected area network | Game ranches | % of total on gameranches | Total |
| Lechwe | 85,545 | 1,513 | 1.7 | 87,058 |
| Impala | 41,327 | 27,998 | 40.4 | 69,325 |
| Wildebeest | 51,884 | 630 | 1.2 | 52,514 |
| Buffalo | 37,239 | 2,107 | 5.4 | 39,346 |
| Puku | 24,367 | 4,904 | 16.8 | 29,271 |
| Elephant | 18,924 | 1,710 | 8.3 | 20,634 |
| Sable | 13,067 | 3,682 | 22 | 16,749 |
| Zebra, plains | 9,425 | 2,060 | 17.9 | 11,485 |
| Waterbuck | 7,587 | 2,987 | 28.2 | 10,574 |
| Kudu | 3,884 | 6,287 | 61.8 | 10,171 |
| Hartebeest | 8,381 | 2,051 | 19.7 | 10,432 |
| Roan | 4,016 | 1,647 | 29.1 | 5,663 |
| Reedbuck | 1,989 | 2,735 | 57.9 | 4,724 |
| Eland | 1,306 | 1,558 | 54.4 | 2,864 |
| Tsessebe | 1,078 | 410 | 27.6 | 1,488 |
| Giraffe | 757 | 321 | 29.8 | 1,078 |
| Sitatunga | 409 | 328 | 44.5 | 737 |
| Nyala | 0 | 95 | 100 | 95 |
| 311,185 | 63,023 | 374,208 |
Data were obtained from: [54]–[60].
Data obtained from ZAWA game ranch returns and questionnaire survey data.
Figure 2The percentage occurrence of ungulate and large predator species on Zambian ranches.
Figure 3The biomass of wild ungulates (excluding species of bushbuck size and smaller and hippos, for which data were unavailable for state protected areas).
Figure 4The diversity of wild ungulates (excluding species of bushbuck size and smaller and hippos, for which data were unavailable for state protected areas) include small plots as well as actual ranches).
The scale of the regional game ranching industries (in the case of Zimbabwe, the historic scale, pre-land seizures after which many game ranches were converted into subsistence livestock farms).
| South Africa | Namibia | Zimbabwe | Botswana | Zambia | Mozambique | |
| Total private land (km2) | 1,006,000 | 356,532 | 136,765 | 34,904 | ? | 24,048 |
| Number of game ranches | 10,000–14,000 | 2,825 | 1,000 | 102 | 129 | 8 |
| Private land used for WBLU (km2) | 205,000 | 287,818 | 27,000 | 9,710 | 5,829 | 1,250 |
| % of private land used for WBLU | 20.4% | 80.7% | 19.7% | 27.8% | ? | ? |
| Wildlife populations on private land | 18.5–20 million | 1.8–2.8 million | 841,000 | 173,000 | 91,000 | ? |
| Economic value of the game ranching industry | USD795.5m | USD166m | ? | USD7.1m | USD16.4 | |
| Value of the crocodile farming industry | USD6.75m | Negligible | USD26m | Negligible | USD3-4m | USD1.5m |
| Average number of crocodile skins exported2008–2011 | 33,185±7,570 | 202±141 | 107,750±15,642 | 876±406 | 34,954±2,521 | 5,564 |
| Proportion of game ranching income derived from | ||||||
| Hunting (trophy hunting, unguided hunts,meat sales) | 91.8% | 26.1% | ? | 54.8% | 50.7% | |
| Ecotourism | 1.9 | 66.2% | ? | 24.9% | 44.0% | |
| Live game sales | 6.3% | 7.7% | ? | 20.3% | 5.3% | |
| Jobs created from game ranching | 100,000 | ? | ? | 1,700 | 2,197 |
Including income from crocodile farms;
Excluding income from crocodile farming, taxidermy and other related industries to allow for cross-country comparison.
[69].
[13].
[40].
[39].
A Zimbabwean crocodile farmer operating in Zimbabwe, South Africa and Mozambique.
CITES Trade Database (average values during 2008–2012, http://www.cites.org/eng/resources/trade.shtml, accessed September 2013).
[70].
[38].
[6].
Botswana Wildlife Producers’ Association, pers. comm.
This study.
Anonymous Zambian crocodile farmer, pers. comm. (2013).
[71].
Results of sensitivity analysis for the financial model for small-scale fenced game ranch.
| Sensitivities | Financial rates of return | ||
| Period of analysis | 10 year | 20 year | 40 year |
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| Ranch fencing already established | 17.0% | 16.1% | 16.0% |
| Half wildlife stocks already present | 25.4% | 22.6% | 22.2% |
| Three quarters wildlife stocks already present | 35.4% | 31.4% | 31.0% |
| Half non-wildlife capital already in place | 18.8% | 17.8% | 17.6% |
| Three quarters non-wildlife capital in place | 20.6% | 19.4% | 19.2% |
| Rental/royalty from a lodge (4% of lodge turnover) | 18.5% | 17.8% | 17.7% |
| Net income from a lodge (15% of lodge capital) | 25.3% | 24.6% | 24.6% |
Where some initial capital costs (fencing, stock capital) treated as sunk costs but still requiring maintenance and repairs and replacement.
Where ranch leases site to an operator who pays an annual rental amounting to 4% of lodge turnover.
Where ranch owner develops lodge and where ranch model incorporates lodge net cash income (annual lodge net profit) as additional income only. Net cash income amounting to 15% of lodge capital investment.