# Trophy Hunting and Possible Source-Sink Dynamics in Protected Areas: Insights from Trophy Size and Offtake Patterns in Southeast Zimbabwe

Authors: Augustine Jeke; Admire Chanyandura; Victor K. Muposhi; Daphine Madhlamoto; Edson Gandiwa
Journal: International Journal of Zoology
 (2019)

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## Abstract

Developing harvest management strategies in designated hunting areas requires systematic and robust monitoring. We assessed the trophy size, quota utilization, and distribution of kill sites of African elephant, Cape buffalo, greater kudu, and leopard for the period 2007-2014 in Malapati Safari Area, southeast Zimbabwe. Trophy sizes for African elephant significantly increased over time albeit being below the expected minimum Safari Club International (SCI) score. Cape buffalo trophy sizes declined significantly over time but were not different from the SCI minimum score. However, greater kudu trophy sizes were higher than the SCI minimum score despite being constant over time. Leopard trophy sizes were higher than the SCI minimum score and increased with time. Quota utilization for African elephant and Cape buffalo increased while that of greater kudu and leopard did not change between 2007 and 2014. Some kill sites, in particular, for the African elephant and Cape buffalo, were within the buffer area with the state protected area, i.e., Gonarezhou National Park. Increased hunting pressure likely leads to poor trophy quality and hunting within the protected buffer areas. In contrast, effective adherence to hunting ethics and scientifically and conservatively set quotas largely does not compromise the trophy quality of harvested species. The observed trophy size patterns and kill sites distribution suggest the possible existence of source and sink dynamics of trophy species occurring in a protected area complex within the Zimbabwe’s component of the Greater Limpopo Transfrontier Park. To ensure sustainable trophy hunting in the study area and similar ecosystems the following are recommended: (i) scientifically robust, adaptable, and participatory quota setting process, (ii) enhanced adherence to good practice in terms of ethical hunting conduct, and (iii) development of a robust hunting monitoring system covering all elements of hunting for adaptive wildlife management.


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## Body

## 1. Introduction

One of the most widespread and well-practiced wildlife sustainable use option in Sub-Saharan Africa is trophy hunting [1, 2]. Trophy hunting is defined as hunting by paying tourists, usually with the objective of selecting individuals with exceptional phenotypic traits such as large horns, tusks, body size, skull length, or mane and usually in the company of a professional hunting guide [3]. Sustainability of trophy hunting depends on the application of ecological theory [4, 5], in harvesting regimes as well as long term monitoring of the harvested populations [6–8]. However, if not carefully managed, the selective nature of trophy hunting may cause loss of heritable desirable traits over time [9, 10]. The resultant phenotypic plasticity and/or evolutional change from trophy hunting induced artificial selection affect the trophy quality of preferred wildlife species by hunters [11].The competitiveness of a trophy hunting destination may be indirectly affected by the trophy quality of the favoured wildlife species [8, 12]. Trophy quality is a function of dimensions and the aesthetic appearance of the trophy depending on the species [13]. Over time, some negative effects of trophy hunting on the desirable phenotypic traits of selected wildlife species seem to be evident [14]. Loss of desirable phenotypic traits (i.e., horn or tusk size) with increasing trophy hunting pressure has been reported in some wildlife species [15]. A decline in the desirable attributes may have impact on hunter satisfaction thus resulting in low hunting quota utilization in such areas [16, 17]. This causes much uncertainty over the sustainability of offtake rates and their potential impacts on wildlife populations [8].In Zimbabwe, much of the trophy hunting occurs in Safari Areas which are managed mainly for the sustainable use and as buffer zones next to National Parks [8]. This arguably creates source and sink dynamics between National Parks and the Safari Areas, respectively [18]. Here, a source population is defined as one that over time portrays a minimum or no net change in its population size albeit being a net exporter of individuals [19]. On the contrary, a sink population is considered as a net importer of individuals and may not be viable in the absence of immigration due to lower productivity [20]. In this study, we considered Gonarezhou National Park (GNP), which forms part of the Greater Limpopo Transfrontier Conservation Area (GLTFCA), as a source habitat that is a net exporter of trophy individuals to the sink habitat, Malapati Safari Area. The source-sink dynamics between GNP and Malapati Safari Area is perceived to result in more individuals with desirable trophy sizes occurring in hunting area due to the vacuum effect creating by trophy hunting.Wild male animals from protected areas may benefit from moving to hunted areas where many of their competitors may have been shot, providing a source of unselected genes that could swamp the effects of selective hunting [21]. Some studies suggest that protected areas may be regarded as sources or refuges that reduce the net ecological effects of selective harvesting in the adjacent hunted areas [22]. These refugee areas or populations are a source of unselected immigrants (i.e., trophy individuals) into harvested populations. We argue that, where dispersal is sufficient enough, emigration from source areas (i.e., National Parks) into sink areas (i.e., Safari Areas) may counteract the possible phenotypic impacts of selective harvesting [23]. In this study, we investigated the trophy size, quota utilization, and kill sites of four selected wildlife species (i.e., three large herbivores and one large carnivore) for the period 2007-2014, in Malapati Safari Area, south-eastern Zimbabwe. These were the African elephant (Loxodonta africana), Cape buffalo (Syncerus caffer), greater kudu (Tragelaphus strepsiceros) and leopard (Panthera pardus).


## 2. Materials and Methods

### 2.1. Study Area

The study was carried out in Malapati Safari Area (MSA) that lies adjacent to the south-eastern side of GNP (Figure1). MSA has an area of 157 km2 and was designated as a safari area in 1980 [24, 25], which falls under protected area category VI [26]. MSA is a Zimbabwe Parks and Wildlife Management Authority (ZPWMA) property which was leased to Chiredzi Rural District Council (CRDC), later subcontracted to safari operator to run the hunting business on their behalf [25]. The area is adjacent to GNP, Mabalauta Field Station, and is part of the Greater Limpopo Transfrontier Park (GLTP). The north-western boundary between Malapati Safari Area and Gonarezhou National Park occurs along Mwenezi River.Figure 1
Location of study area, Malapati Safari Area adjacent to the Gonarezhou National Park, south-eastern Zimbabwe.The area receives a mean annual rainfall of about 466 mm [27] and has an average monthly minimum temperature range from 9°C in June to 24°C in January. In summer, temperatures can be as high as 39°C [28]. The vegetation is dominated by mopane (Colophospermum mopane) in association with vast stands of Lebombo ironwood (Androstachys johnsonii) andCombretum woodlands [29]. Common wild herbivore species MSA include African elephant, Cape buffalo, giraffe (Giraffa camelopardalis), greater kudu, waterbuck (Kobus ellipsiprymnus), impala (Aepyceros melampus), zebra (Equus quagga), and nyala (Tragelaphus angasii). Large carnivores include lion (Panthera leo), leopard, and hyena (Crocuta crocuta).


### 2.2. Study Species and Data Collection

We collected secondary data on trophy size, quota allocation, and offtake of four commonly hunted wildlife species, namely, African elephant, Cape buffalo, greater kudu, and leopard for the period between 2007 and 2014 from records at Mabalauta Field Station, located in southern GNP. These species were selected on the basis of their economic significance and attractiveness within the hunting business. The secondary data for the trophy size of the four species were measured and recorded by experienced parks rangers following the Safari Club International (SCI) scoring system [30]. Data on the spatial distribution of animal kill sites based on the Geographic Positioning System (GPS) coordinates was collected for the year 2014 only as this was not routinely collected in the previous years. We considered a kill site as GPS coordinates where an animal carcass was located after being shot during a trophy hunt.


### 2.3. Data Analysis

We expressed the total number of harvested individuals for each species per given year from the corresponding allocated quota as percentage quota utilization using the formula: (Quota utilization = [Total harvested/Total quota] x 100). Explanatory data analysis on trophy sizes and quota utilization to test whether data met normality assumptions was done using ‎Shapiro-Wilk test. Data with explanatory variables, i.e., trophy size and quota utilization, conformed to normality assumptions. Prior to regression analysis, we plotted normal probability plots and studentized residuals to check if data did not violate the normality assumptions.We performed two main types of analysis: (1) linear regression analysis to determine the trophy size and quota utilization trends and (2) one samplet-test on trophy size to ascertain whether there was any difference between observed trophy size and the minimum SCI score for African elephant (i.e., 90 pounds); Cape buffalo (i.e., 101 inches); greater kudu (i.e., 121 inches); and leopard (i.e., 14 inches). We conducted statistical tests using STATISTICA for Windows version 7 [31], at 5% level of significance. Data on spatial distribution of trophy animal kill sites were used to create a layer processed in Arc GIS 10.2.1 (ESRI Redlands, CA, USA). We used the buffer wizard tool in ArcGIS to create a double buffer measuring (e.g., 0-400 m and 400-800 m) from the GNP boundary extending into MSA. This buffering system was used because the Zimbabwe Parks and Wildlife Management Authority enforces a statutory instrument prohibiting hunting activities within 400m from the national park boundary [18]. The proportions of trophy animal kill sites for each species within the buffer areas were later established.


## 2.1. Study Area

The study was carried out in Malapati Safari Area (MSA) that lies adjacent to the south-eastern side of GNP (Figure1). MSA has an area of 157 km2 and was designated as a safari area in 1980 [24, 25], which falls under protected area category VI [26]. MSA is a Zimbabwe Parks and Wildlife Management Authority (ZPWMA) property which was leased to Chiredzi Rural District Council (CRDC), later subcontracted to safari operator to run the hunting business on their behalf [25]. The area is adjacent to GNP, Mabalauta Field Station, and is part of the Greater Limpopo Transfrontier Park (GLTP). The north-western boundary between Malapati Safari Area and Gonarezhou National Park occurs along Mwenezi River.Figure 1
Location of study area, Malapati Safari Area adjacent to the Gonarezhou National Park, south-eastern Zimbabwe.The area receives a mean annual rainfall of about 466 mm [27] and has an average monthly minimum temperature range from 9°C in June to 24°C in January. In summer, temperatures can be as high as 39°C [28]. The vegetation is dominated by mopane (Colophospermum mopane) in association with vast stands of Lebombo ironwood (Androstachys johnsonii) andCombretum woodlands [29]. Common wild herbivore species MSA include African elephant, Cape buffalo, giraffe (Giraffa camelopardalis), greater kudu, waterbuck (Kobus ellipsiprymnus), impala (Aepyceros melampus), zebra (Equus quagga), and nyala (Tragelaphus angasii). Large carnivores include lion (Panthera leo), leopard, and hyena (Crocuta crocuta).


## 2.2. Study Species and Data Collection

We collected secondary data on trophy size, quota allocation, and offtake of four commonly hunted wildlife species, namely, African elephant, Cape buffalo, greater kudu, and leopard for the period between 2007 and 2014 from records at Mabalauta Field Station, located in southern GNP. These species were selected on the basis of their economic significance and attractiveness within the hunting business. The secondary data for the trophy size of the four species were measured and recorded by experienced parks rangers following the Safari Club International (SCI) scoring system [30]. Data on the spatial distribution of animal kill sites based on the Geographic Positioning System (GPS) coordinates was collected for the year 2014 only as this was not routinely collected in the previous years. We considered a kill site as GPS coordinates where an animal carcass was located after being shot during a trophy hunt.


## 2.3. Data Analysis

We expressed the total number of harvested individuals for each species per given year from the corresponding allocated quota as percentage quota utilization using the formula: (Quota utilization = [Total harvested/Total quota] x 100). Explanatory data analysis on trophy sizes and quota utilization to test whether data met normality assumptions was done using ‎Shapiro-Wilk test. Data with explanatory variables, i.e., trophy size and quota utilization, conformed to normality assumptions. Prior to regression analysis, we plotted normal probability plots and studentized residuals to check if data did not violate the normality assumptions.We performed two main types of analysis: (1) linear regression analysis to determine the trophy size and quota utilization trends and (2) one samplet-test on trophy size to ascertain whether there was any difference between observed trophy size and the minimum SCI score for African elephant (i.e., 90 pounds); Cape buffalo (i.e., 101 inches); greater kudu (i.e., 121 inches); and leopard (i.e., 14 inches). We conducted statistical tests using STATISTICA for Windows version 7 [31], at 5% level of significance. Data on spatial distribution of trophy animal kill sites were used to create a layer processed in Arc GIS 10.2.1 (ESRI Redlands, CA, USA). We used the buffer wizard tool in ArcGIS to create a double buffer measuring (e.g., 0-400 m and 400-800 m) from the GNP boundary extending into MSA. This buffering system was used because the Zimbabwe Parks and Wildlife Management Authority enforces a statutory instrument prohibiting hunting activities within 400m from the national park boundary [18]. The proportions of trophy animal kill sites for each species within the buffer areas were later established.


## 3. Results

### 3.1. Trophy Size Trends

Mean trophy size for African elephant and leopard in Malapati Safari Area showed an increasing trend for the period 2007-2014 (Table1). In contrast, the trophy size for greater kudu for the period 2007-2014 did not change (R2 = 0.004, p = 0.778). However, the mean trophy size for Cape buffalo declined significantly (R2= 0.779, p = 0.020) for the time period 2007-2014 (Figure 2).Table 1
Linear regression model parameter estimates of the mean trophy size trends for selected wildlife species in Malapati Safari Area for period 2007–2014. Significant trends (p < 0.05) are indicated in italic.
Species N R2 Β ± S . E t-statistic P value African elephant 44 0.418 1.95 ± 0.94 2.07 0.020 Cape buffalo 89 0.799 -3.17 ± 0.64 -5.31 0.003 Greater kudu 31 0.004 0.20 ± 1.15 0.28 0.778 Leopard 15 0.626 0.22 ± 0.07 3.17 0.019Figure 2
Temporal trend in mean trophy size (with 95% confidence interval) for selected wildlife species: (a) African elephant, (b) Cape buffalo, (c) Greater kudu, and (d) Leopard for period 2007–2014 in Malapati Safari Area, southeast of Gonarezhou National Park, Zimbabwe.
(a)
African elephant (b)
Cape buffalo (c)
Greater kudu (d)
LeopardDespite the increasing trend in the African elephant trophy size, their mean trophy score (76.21 ± 26.79) for the period 2007-2014 was significantly lower (t(44) = -3.41, p < 0.001) than the SCI minimum score for the same period. Similarly, Cape buffalo mean trophy size score (93.77 ± 15.03) was lower than the expected SCI minimum score (t(89) = 4.54, p < 0.000; Table 2), for the same period. On the contrary, the mean trophy sizes for greater kudu (137.86 ± 9.33) and leopard (15.07 ± 0.69) were significantly higher than the SCI minimum scores of 121 and 14 inches, respectively, for the period 2007-2014 (Table 2).Table 2
Mean trophy size (mean ± SD) and the Safari Club International (SCI) minimum scores for selected wildlife species in Malapati Safari Area for the period 2007-2014.Notes: N: total number of individuals harvested for the period 2007-2014.
Species N Mean ± SD SCI minimum Score (Inches) df t-statistic P value African elephant 44 76.21 ± 26.79 90 43 -3.41 0.001 Cape buffalo 89 93.77 ± 15.03 101 88 -4.54 < 0.001 Greater kudu 31 137.86 ± 9.33 121 30 10.06 < 0.001 Leopard 15 15.12 ± 1.68 14 14 2.59 0.021


### 3.2. Quota Utilization

Cape buffalo quota utilization increased significantly (R2 = 0.62, p = 0.023) from as low as 67 % to 75% for the period 2007 to 2014 (Table 3; Figure 3). However, the changes in quota utilization for African elephant, greater kudu, and leopard were not significant.Table 3
Linear regression parameter estimates for quota utilization of selected wildlife species for the period 2007-2014 in Malapati Safari Area, southeast of Gonarezhou National Park, Zimbabwe.
Species Mean ± SD Quotautilization (%) R2 β ± S E t-statistic P value African elephant 97.88 ± 6.01 0.76 -0.61 ± 0.97 -0.63 0.560 Cape buffalo 75.00 ± 9.80 0.61 3.14 ± 1.01 3.11 0.023 Greater kudu 77.50 ± 16.69 0.06 1.67 ± 2.70 0.62 0.559 Leopard 58.38 ± 23.79 0.06 -2.42 ± 3.84 -0.63 0.555Figure 3
Quota allocation and offtake levels for selected wildlife species: (a) African elephant (b) Cape buffalo, (c) Greater kudu, and (d) leopard for the period 2007-2014 in Malapati Safari Area, southeast of Gonarezhou National Park, Zimbabwe.
(a)
African elephant (b)
Cape buffalo (c)
Greater kudu (d)
Leopard


### 3.3. Spatial Distribution of Kill Sites

For the 2014 hunting season, our results showed that most African elephant, Cape buffalo, and greater kudu kill sites were located closer to the GNP boundary or along rivers occurring in MSA (Figure4). About 16.67% and 14.29 % of African elephant and Cape buffalo kill sites occurred within the restricted 400 m buffer area from the park boundary. Greater kudu kill sites all occurred inside MSA. However, the only leopard kill site for the year 2014 occurred outside MSA (Table 4).Table 4
Proportion of 2014 kill sites occurrence and their distribution in and around Malapati Safari Area, southeast of Gonarezhou National Park, Zimbabwe.
Species 2014Offtake (N) Proportion of occurrence (%) Inside MSA Within buffer area Inside GNP Communal Areas African elephant 6 33.33 16.67 ∗ 50.00 Cape buffalo 14 64.29 14.29 7.14 14.29 Greater kudu 5 100.00 ∗ ∗ ∗ Leopard 1 ∗ ∗ ∗ 100.00Figure 4
Spatial distribution of 2014 trophy kill-sites for the selected four wildlife species in relation to southern Gonarezhou national Park boundary, southeast of Gonarezhou National Park, Zimbabwe.


## 3.1. Trophy Size Trends

Mean trophy size for African elephant and leopard in Malapati Safari Area showed an increasing trend for the period 2007-2014 (Table1). In contrast, the trophy size for greater kudu for the period 2007-2014 did not change (R2 = 0.004, p = 0.778). However, the mean trophy size for Cape buffalo declined significantly (R2= 0.779, p = 0.020) for the time period 2007-2014 (Figure 2).Table 1
Linear regression model parameter estimates of the mean trophy size trends for selected wildlife species in Malapati Safari Area for period 2007–2014. Significant trends (p < 0.05) are indicated in italic.
Species N R2 Β ± S . E t-statistic P value African elephant 44 0.418 1.95 ± 0.94 2.07 0.020 Cape buffalo 89 0.799 -3.17 ± 0.64 -5.31 0.003 Greater kudu 31 0.004 0.20 ± 1.15 0.28 0.778 Leopard 15 0.626 0.22 ± 0.07 3.17 0.019Figure 2
Temporal trend in mean trophy size (with 95% confidence interval) for selected wildlife species: (a) African elephant, (b) Cape buffalo, (c) Greater kudu, and (d) Leopard for period 2007–2014 in Malapati Safari Area, southeast of Gonarezhou National Park, Zimbabwe.
(a)
African elephant (b)
Cape buffalo (c)
Greater kudu (d)
LeopardDespite the increasing trend in the African elephant trophy size, their mean trophy score (76.21 ± 26.79) for the period 2007-2014 was significantly lower (t(44) = -3.41, p < 0.001) than the SCI minimum score for the same period. Similarly, Cape buffalo mean trophy size score (93.77 ± 15.03) was lower than the expected SCI minimum score (t(89) = 4.54, p < 0.000; Table 2), for the same period. On the contrary, the mean trophy sizes for greater kudu (137.86 ± 9.33) and leopard (15.07 ± 0.69) were significantly higher than the SCI minimum scores of 121 and 14 inches, respectively, for the period 2007-2014 (Table 2).Table 2
Mean trophy size (mean ± SD) and the Safari Club International (SCI) minimum scores for selected wildlife species in Malapati Safari Area for the period 2007-2014.Notes: N: total number of individuals harvested for the period 2007-2014.
Species N Mean ± SD SCI minimum Score (Inches) df t-statistic P value African elephant 44 76.21 ± 26.79 90 43 -3.41 0.001 Cape buffalo 89 93.77 ± 15.03 101 88 -4.54 < 0.001 Greater kudu 31 137.86 ± 9.33 121 30 10.06 < 0.001 Leopard 15 15.12 ± 1.68 14 14 2.59 0.021


## 3.2. Quota Utilization

Cape buffalo quota utilization increased significantly (R2 = 0.62, p = 0.023) from as low as 67 % to 75% for the period 2007 to 2014 (Table 3; Figure 3). However, the changes in quota utilization for African elephant, greater kudu, and leopard were not significant.Table 3
Linear regression parameter estimates for quota utilization of selected wildlife species for the period 2007-2014 in Malapati Safari Area, southeast of Gonarezhou National Park, Zimbabwe.
Species Mean ± SD Quotautilization (%) R2 β ± S E t-statistic P value African elephant 97.88 ± 6.01 0.76 -0.61 ± 0.97 -0.63 0.560 Cape buffalo 75.00 ± 9.80 0.61 3.14 ± 1.01 3.11 0.023 Greater kudu 77.50 ± 16.69 0.06 1.67 ± 2.70 0.62 0.559 Leopard 58.38 ± 23.79 0.06 -2.42 ± 3.84 -0.63 0.555Figure 3
Quota allocation and offtake levels for selected wildlife species: (a) African elephant (b) Cape buffalo, (c) Greater kudu, and (d) leopard for the period 2007-2014 in Malapati Safari Area, southeast of Gonarezhou National Park, Zimbabwe.
(a)
African elephant (b)
Cape buffalo (c)
Greater kudu (d)
Leopard


## 3.3. Spatial Distribution of Kill Sites

For the 2014 hunting season, our results showed that most African elephant, Cape buffalo, and greater kudu kill sites were located closer to the GNP boundary or along rivers occurring in MSA (Figure4). About 16.67% and 14.29 % of African elephant and Cape buffalo kill sites occurred within the restricted 400 m buffer area from the park boundary. Greater kudu kill sites all occurred inside MSA. However, the only leopard kill site for the year 2014 occurred outside MSA (Table 4).Table 4
Proportion of 2014 kill sites occurrence and their distribution in and around Malapati Safari Area, southeast of Gonarezhou National Park, Zimbabwe.
Species 2014Offtake (N) Proportion of occurrence (%) Inside MSA Within buffer area Inside GNP Communal Areas African elephant 6 33.33 16.67 ∗ 50.00 Cape buffalo 14 64.29 14.29 7.14 14.29 Greater kudu 5 100.00 ∗ ∗ ∗ Leopard 1 ∗ ∗ ∗ 100.00Figure 4
Spatial distribution of 2014 trophy kill-sites for the selected four wildlife species in relation to southern Gonarezhou national Park boundary, southeast of Gonarezhou National Park, Zimbabwe.


## 4. Discussion

Our results showed a declining trend in trophy size in Cape buffalo trophies over time in Malapati Safari Area. Similar declines in Cape buffalo trends were also reported in Sengwa Wildlife Research Area, northwest Zimbabwe [32], as well as in Selous Game Reserve, Tanzania, and South Africa [12]. The declines in Cape buffalo trophy size could be attributed to the harvesting regimes and trophy hunting pressure [8]. In MSA, trophy hunting pressure has been reported to have reduced densities of common large herbivores [33] and illegal bush-meat trade where Cape buffalo is one of the key target species in in this area [34, 35].The SCI scoring system has some limitations particularly in Cape buffalo trophies where high SCI scoring trophies may be from soft bossed males (green bull) in prime reproduction stage. In some cases, older bulls with broomed horns, an indication of old age for individuals that are past reproduction, tend to have low SCI scores [8, 36]. We argue that low trophy scores mostly from Cape buffalo males with broomed horns are not an indication of poor trophy quality but rather depict sustainable harvesting practices [37].In this study, we observed significant increases in trophy size for Africa elephant in MSA between 2007 and 2014. The increasing trend in elephant trophy size in MSA confirms the notion that the broader Gonarezhou area is renowned for its large tusker African elephants [38]. This presupposes the existence of source and sink dynamics in trophy individuals, where Malapati Safari Area acts as a sink with the GNP being the source of big tuskers over time [39]. However, our findings were contrary to those found in Matetsi Safari Area, Zimbabwe [8], in Sengwa Wildlife Research Area, Zimbabwe [32], and Selous Game Reserve, Tanzania [40], where declining African elephant trophy sizes were reported. Nonetheless, African elephant trophy sizes were below the minimum SCI score of 90 pounds. Trophy sizes below minimum SCI score suggest the harvesting of young bulls which has negative impacts on population structure and future breeding patterns [41]. Over time, there is loss of trophy hunting induced behavioural adaptation by older African elephant bulls such as avoidance of risky hunting areas [11, 42] which tends to affect social cohesion and survival of breeding herds.Leopard trophy sizes were above the minimum SCI minimum score of 14 inches and increased over the period 2007-2014. The increasing trophy size trend in leopard is supposedly a result of low hunting pressure and fairly healthy population densities of the species in the study area. We argue that sustainable harvesting practices such as low offtake levels in large carnivores promote the survival and persistence of harvested populations [43]. However, increased hunting pressure compromises trophy sizes of hunted carnivore species as observed for leopard in Kwazulu Natal, South Africa, due to [44], and in Selous Game Reserve, Tanzania [40].The significant increase in the African elephant and Cape buffalo quota utilization (2007-2014) could be a result of the attractiveness and the demand for African elephant and Cape buffalo trophies [13, 37]. African elephant and Cape buffalo are the major attraction for hunting clients coming to hunt in MSA. These two species are considered as the major economic returns for hunting safari business in MSA and other similar areas in Zimbabwe. Leopard quotas may have been maintained constant and relatively low as a sustainable harvesting strategy in MSA thus resulting in desirable trophies and fairly high quota utilization rates. Management should promote sustainable harvesting strategies for these preferred species to minimise possible phenotypic plasticity through loss of the desirable traits, e.g., big horns or tusks [11].The occurrence of African elephant and Cape buffalo kill sites within the restricted 400 m buffer zone could be associated with their foraging behaviour especially near water sources [45, 46]. Apparently, the boundary between Malapati Safari Area and Gonarezhou National Park occurs along Mwenezi River. The wide distribution of African elephant kill sites in the safari area could be attributed to their free roaming behaviour [41]. The position of a kill site is also influenced by shot placement which in turn is affected by vegetation cover among other factors [47]. Nonetheless, the presence of animal kill sites in restricted zones violates provisions of the Statutory Instrument 362 of 1990 of the Parks and Wildlife Act of Zimbabwe on restrictions and prohibitions on hunting areas. There is need to promote responsible and ethical hunting practices to ensure that trophy hunting is sustainable and continues to contribute towards conservation. The possible existence of source and sink dynamics between GNP and MSA, respectively, within the Greater Limpopo Transfrontier Park (GLTP) requires a more careful approach to ensure that robust scientific and monitoring programs are promoted to enhance the sustainability of trophy hunting as a conservation tool.


## 5. Conclusion

We conclude that MSA has experienced variable trophy hunting impacts as indicated by the trophies below minimum SCI scores, e.g., African elephant and Cape buffalo. Trophy size trends for greater kudu and leopard indicate that, where sustainable quotas are implemented, trophy hunting does not compromise the trophy quality of harvested species. Occurrence of some kill sites within prohibited buffer zone and park suggests the possible existence of source and sink dynamics between nonhunting and the hunting area. We recommend the following: (1) the need for more scientifically robust, adaptable, and participatory quota setting process, (2) enhanced adherence to good practice in terms of ethical hunting conduct, and (3) development of a robust hunting monitoring system on trophy hunting for adaptive wildlife management.



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*Source: 1313927-2019-05-02.xml*