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Use of black rhino range estimates for conservation decisions: a response to Linklater et al.

Published online by Cambridge University Press:  11 December 2009

Rob Slotow
Affiliation:
Biological and Conservation Sciences, Westville Campus, University of KwaZulu-Natal, Bag X54001, Durban 4000, South Africa. E-mail [email protected]
Caroline Reid
Affiliation:
Environmental Sciences, University of KwaZulu-Natal, Durban, South Africa
Dave Balfour
Affiliation:
Eastern Cape Parks Board, Southernwood, East London, South Africa
Owen Howison
Affiliation:
Agriculture and Environmental Affairs, Pietermaritzburg, South Africa
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Abstract

Type
Letters
Copyright
Copyright © Fauna & Flora International 2009

We note the concerns of Linklater et al. (Reference Linklater, Plotz, Kerley, Brashares, Lent and Cameron2010) regarding our conclusions for management of black rhinoceros Diceros bicornis in Hluhluwe-iMfolozi Park (Reid et al., Reference Reid, Slotow, Howison and Balfour2007). Regarding their methodological issues, we pointed out potential biases in data collection and highlighted that the quality and quantity of information used reduced the quality of our analysis. The reader was therefore forewarned to be cautious in any interpretation.

We used opportunistic data collection throughout. Lack of independence would make any contrast conservative in terms of bias, and the effect of sample size on range size was the opposite to the concern of of Linklater et al. (Reference Linklater, Plotz, Kerley, Brashares, Lent and Cameron2010) as the 95% kernel range increased significantly with sample size (regression: F 1,124 = 60.2, P < 0.001). Using only subsets with larger sample sizes, for ≥ 30 sightings (n = 43 rhino) mean home range was 29.8 ± SE 1.7 km2 and for ≥ 50 sightings (n = 19) 34.3 ± SE 2.5 km2. While accepting potential data issues (and noting that we used kernel rather than minimum convex polygons), these ranges are substantially larger than those of P.M. Hitchins or K. Adcock/R.H. Emslie (Table 1 in Linklater et al., Reference Linklater, Plotz, Kerley, Brashares, Lent and Cameron2010). We believe it reasonable to conclude that range sizes in general have increased.

Linklater et al. (Reference Linklater, Plotz, Kerley, Brashares, Lent and Cameron2010) state ‘increases in ranging cannot be used as evidence of deteriorating habitat … without accounting for inter-specific interactions … and anthropogenic effects'. We were not the first to propose that rhino range size increased with degrading habitat (Emslie, Reference Emslie1999). Furthermore, we highlighted that changes in range size could be related to disruption of social networks, and that this and effects of elephants Loxodonta africana require further investigation (Reid et al., Reference Reid, Slotow, Howison and Balfour2007).

Differential range use by rhino (Reid et al., Reference Reid, Slotow, Howison and Balfour2007) and other mega-herbivores between dry and wet seasons is well documented, even in small fenced reserves (Shannon et al., 2006). It is thus not appropriate to use seasonal responses to resource variation as an argument when contrasting ranging across years, as is done by Linklater et al. (Reference Linklater, Plotz, Kerley, Brashares, Lent and Cameron2010). They conclude that ‘home range size is not a reliable proxy for habitat quality'. While there may be problems with our data this does not negate the potential for home range size to be an indicator for habitat quality, and Linklater et al. (Reference Linklater, Plotz, Kerley, Brashares, Lent and Cameron2010) do not present any data to counter this possibility. Our conclusion that ‘declining habitat quality … may have resulted in larger home ranges' was deliberately cautious, and we went on to emphasize the importance of more detailed work examining the potential mechanisms affecting habitat quality for black rhino.

Linklater et al. (Reference Linklater, Plotz, Kerley, Brashares, Lent and Cameron2010) are correct that all potential explanations for changes in population productivity of a Critically Endangered species such as black rhino should be investigated. However, our purpose was not to exclude any particular explanation (such as social factors or management interventions) but rather to point out that there may be ecological aspects affecting productivity that need to be investigated. As stated in our original abstract: ‘Ongoing review of stocking rates, population performance … and intervention strategies are necessary to manage black rhino in dynamic savannah ecosystems' (Reid et al., Reference Reid, Slotow, Howison and Balfour2007). Simple ecological indices may not necessarily be appropriate as a framework for management planning (e.g. carrying capacity estimates should not be used for black rhino population management; Morgan et al., Reference Morgan, Mackey and Slotow2009), and incorporating individual variation in biology is critical (Morgan et al., Reference Morgan, Mackey and Slotow2009). Furthermore, interventions should acknowledge the importance of the social clusters that rhino develop (Morgan et al., Reference Morgan, Mackey and Slotow2009) and avoid any indiscriminate removal from these groups (Reid et al., Reference Reid, Slotow, Howison and Balfour2007; S.R. Morgan, pers. comm.).

References

Emslie, R.H. (1999) The feeding ecology of the black rhinoceros (Diceros bicornis minor) in Hluhluwe-Umfolozi Park, with special reference to the probably causes of the Hluhluwe population crash. PhD thesis, University of Stellenbosch, Stellenbosch, South Africa.Google Scholar
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