Taxonomic bias and human–carnivore conflict 919
We also included words from the lemma list without case sensitivity. With these search settings, MAXQDA returned a hit for any combination of the search terms and any word forms (Kuckartz & Radiker, 2019). For example, ‘lion’ returned a hit for the exact match, along with ‘Lion’ and ‘lions’. For each study, we recorded the number of hits for each carnivore species within all sections of the document, excluding the references and running title. We converted the number of hits by carnivore species into a per cent of the total hits in the study.We considered a carnivore species to be central if the number of hitswere$25%of the total hits for that study. Thus, it was possible for a study to have mul- tiple central species.We classified a study as having no central species if none had $25%of the totalhits. Lexical analysis is an established tool for assessing text-
based media, as high frequency terms are representative of content themes and biases (Wodak & Meyer, 2008; Bednarek&Caple, 2014). Lexical analyses are replicable, quan- tifiable and unbiased, and thus are valuable for studies of taxonomic bias (dos Santos et al., 2020). However, as the ap- plicationof thismethod is emergent inconservation,we used a secondary document analysis to verify our results, identifying the central species based upon references to carnivore species throughout the document. For example, we classified a study to be centredaroundthe spottedhyaenaifthatwas thepri- mary species around which the introduction, methods and results were framed. We performed the document analysis separate from the lexical analysis, to minimize the risk of implicit coding bias from the results of the lexical analysis.
Measures of livestock depredation
Next, we determined the carnivore species responsible for the majority of livestock depredation in each study.We used the twomost prevalentmethods for measuring livestock depreda- tion (KrafteHolland et al., 2018): quantitative measures of live- stock depredated by carnivores (e.g. the number of livestock killed), and perceptions of depredation risk among livestock owners (e.g. the proportion of respondents who considered a carnivore species to be the greatest threat to their livestock; Marker et al., 2003; Kissui, 2008; Miller et al., 2016a,b). We identified the carnivore species with the greatest contribution to these two conflict measures, depending on which was re- ported. Thus, our final database consisted of the geographical location, the central carnivore species and primary depredator foreachstudy.We thenmappedthe distributionof all studies in ArcMap10.5 (ESRI,Redlands,USA)andassessed thealignment between central species and primary livestock depredator.
Results
Our literature reviewreturned 119 peer-reviewed publications on livestock depredation in sub-Saharan Africa published
during 1997–2019. We eliminated 19 studies that did not fit the conditions of our review (e.g. did not directly examine livestock depredation or were not published in a peer-re- viewed journal), so our final database comprised a total of 100 studies (Fig. 1, Supplementary Material 1). The majority of these were conducted in Eastern Africa (i.e. Ethiopia, Tanzania, Kenya; n = 51), and Southern Africa (i.e. Botswana, Namibia, South Africa, Zimbabwe; n = 43). Six were based in Western and Central Africa (i.e. Niger, Guinea, Chad, Cameroon, Benin). Seven studies did not have any central species, as identified via lexical analysis and confirmed through the document analysis. Among those with a sin- gle central species, the African lion was the most common (n = 29; Figs 2 & 3). Other single central species included the spotted hyaena (9), African wild dog (9), cheetah (7), leopard (6), black-backed jackal (5), Ethiopian wolf (4) and brown hyaena (1). The studies with at least two central species included African lions/spotted hyaenas (n = 10), African lions/leopards (3), African lions/spotted hyaenas/ leopards (3), and spotted hyaenas/leopards (2). There was one study each that included Ethiopian wolves/African wolves, cheetahs/black-backed jackals, black-backed jack- als/caracals, spotted hyaenas/leopards/black-backed jackals, and leopards/black-backed jackals/caracals (Fig. 2). Therewere 41 studies that included measures of livestock
depredation. Over three-quarters (85.4%, n = 35) of these studies reported depredation events and the remainder (14.6%, n = 6) reported perceptions of depredation risk. Spotted hyaenas were the primary livestock depredator in the majority of these studies (58.5%, n = 18 and n = 4 for depredation events and perceptions of depredation risk, respectively), followed by African lions (24.4%, n = 9 and n= 2), leopards (7.3%, n = 3 and n = 0), black-backed jackals (4.9%, n = 2 and n = 0), African wild dogs (2.4%, n = 1 and n= 0), and African wolves (2.4%, n = 1 and n = 0; Figs 2&3). Notably, not all reported measures of livestock depredation were indicative of the magnitude of loss resulting from the depredation (e.g. monetary value of the livestock killed). Among the four most common single central species re-
ported to depredate livestock in the reviewed studies (African lions, spotted hyaenas, African wild dogs, and leopards), there was a mismatch between central species and primary depreda- tor for spottedhyaenas and leopards (Table 1). Spottedhyaenas were not a central species in 37.5% of the studies (9 of 24)in whichtheywere the primary livestock
depredator.Wedetected such amismatch for leopards in one study (Table 1).
Discussion
Applied conservation research is most effective when re- search findings and conservation outputs are aligned (Balmford et al., 2003; Stroud et al., 2014; Eklund et al., 2017). A discrepancy between these two factors may limit
Oryx, 2022, 56(6), 917–926 © The Author(s), 2022. Published by Cambridge University Press on behalf of Fauna & Flora International doi:10.1017/S0030605321000582
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116 |
Page 117 |
Page 118 |
Page 119 |
Page 120 |
Page 121 |
Page 122 |
Page 123 |
Page 124 |
Page 125 |
Page 126 |
Page 127 |
Page 128 |
Page 129 |
Page 130 |
Page 131 |
Page 132 |
Page 133 |
Page 134 |
Page 135 |
Page 136 |
Page 137 |
Page 138 |
Page 139 |
Page 140 |
Page 141 |
Page 142 |
Page 143 |
Page 144 |
Page 145 |
Page 146 |
Page 147 |
Page 148 |
Page 149 |
Page 150 |
Page 151 |
Page 152 |
Page 153 |
Page 154 |
Page 155 |
Page 156 |
Page 157 |
Page 158 |
Page 159 |
Page 160 |
Page 161 |
Page 162 |
Page 163 |
Page 164