Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-10T08:43:05.710Z Has data issue: false hasContentIssue false

Ecological trap in the buffer zone of a protected area: effects of indirect anthropogenic mortality on the African wild dog Lycaon pictus

Published online by Cambridge University Press:  02 August 2013

Esther van der Meer*
Affiliation:
Painted Dog Conservation, Hwange National Park, P.O. Box 72, Dete, Zimbabwe.
Hervé Fritz
Affiliation:
CNRS HERD Project, Hwange National Park, Dete, Zimbabwe, and Université de Lyon, CNRS Université Claude Bernard Lyon, Villeurbanne, France
Peter Blinston
Affiliation:
Painted Dog Conservation, Hwange National Park, P.O. Box 72, Dete, Zimbabwe.
Gregory S.A. Rasmussen
Affiliation:
Painted Dog Conservation, Hwange National Park, P.O. Box 72, Dete, Zimbabwe.
*
(Corresponding author) E-mail: esther@cheetahzimbabwe.org
Rights & Permissions [Opens in a new window]

Abstract

Because of the large home range requirements of wide-ranging carnivores, protected areas are often too small to maintain large populations. Consequently these carnivores regularly move outside protected areas, where they are likely to be exposed to anthropogenic mortality. We used data from 15 packs of radio-collared African wild dogs Lycaon pictus to examine the level of anthropogenic mortality African wild dogs experience around Hwange National Park, Zimbabwe, and tried to determine whether the buffer zone outside the Park acts as an ‘ecological trap’. Over time, study packs moved their territories closer to or beyond the Park border. With the movement of territories into the buffer zone outside the Park, African wild dogs experienced an increasing level of anthropogenic mortality. Although larger litters were born outside the Park, mortality exceeded natality. Densities of the African wild dog in the study area were low and territories for given pack sizes were smaller outside the Park. Hence, the movement of packs outside the Park does not appear to be density related and the buffer zone is therefore unlikely to function as a classic sink. Favourable ecological conditions indicate that the buffer zone outside the Park is likely to serve as an ecological trap, with fitness-enhancing factors attracting African wild dogs outside the Park, where they are incapable of perceiving the higher mortality risk associated with mostly indirect anthropogenic causes. As far as we know this is one of the first studies describing an ecological trap for mammals.

Type
Papers
Copyright
Copyright © Fauna & Flora International 2013 

Introduction

An increase in the human population worldwide has resulted in fragmentation of habitat available to wildlife, thus forcing animals to live in close proximity to humans (Woodroffe, Reference Woodroffe2000; Inskip & Zimmermann, Reference Inskip and Zimmermann2009). Protected areas are often too small to maintain large populations of wildlife, and wide ranging carnivores, in particular, regularly roam beyond reserve borders (Woodroffe et al., Reference Woodroffe, Ginsberg and Macdonald1997; Woodroffe & Ginsberg, Reference Woodroffe and Ginsberg1998). By crossing into unprotected areas animals are often accidentally or deliberately killed by humans (anthropogenic mortality; Woodroffe & Ginsberg, Reference Woodroffe and Ginsberg1998; Loveridge et al., Reference Loveridge, Searle, Murindagomo and Macdonald2007; Balme et al., Reference Balme, Slotow and Hunter2009; Gusset et al., Reference Gusset, Swarner, Mponwane, Keletile and McNutt2009; Inskip & Zimmermann, Reference Inskip and Zimmermann2009). As a result, border areas of reserves have the potential to become population sinks where mortality exceeds natality (Woodroffe & Ginsberg, Reference Woodroffe and Ginsberg1998).

The detrimental effect of these sinks can be accelerated by a vacuum effect, whereby removal of territorial individuals in the border areas results in vacant territories being filled by individuals from within the protected area that are attracted to these vacant territories by reduced levels of competition for resources (e.g. food, den sites, mates) (Loveridge et al., Reference Loveridge, Hamson, Davidson, Macdonald, Macdonald and Loveridge2009a). For example, trophy hunting along the boundary of Hwange National Park created territorial vacuums that were filled by immigration of male lions Panthera leo from the Park core area in search of better mating opportunities (Loveridge et al., Reference Loveridge, Searle, Murindagomo and Macdonald2007, Reference Loveridge, Hamson, Davidson, Macdonald, Macdonald and Loveridge2009a). Variations on this vacuum effect have been described for several other mammal species (Bailey et al., Reference Bailey, Bangs, Portner, Malloy and McAvinchey1986; Ji et al., Reference Ji, Sarre, Aitken, Hankin and Clout2001; Gunther & Terkel, Reference Gunther and Terkel2002; Macdonald et al., Reference Macdonald, Riordan and Mathews2006).

In a classic source-sink system, habitat choice is advantageous; animals choose to be in source habitat (natality > mortality) and will only move into sink habitat (natality < mortality) when there is insufficient source habitat available (Pulliam, Reference Pulliam1988). Sometimes animals show a preferential choice for sink habitat in which reproductive success or adult survival is less than in other available habitat, in that case animals are caught in an ecological trap (Kokko & Sutherland, Reference Kokko and Sutherland2001; Schlaepfer et al., Reference Schlaepfer, Runge and Sherman2002; Battin, Reference Battin2004; Robertson & Hutto, Reference Robertson and Hutto2006). In an ecological trap, habitat choice is disadvantageous; animals choose to move into the sink habitat despite there being enough source habitat available (Kristan, Reference Kristan2003; Battin, Reference Battin2004). Hence, in an ecological trap, the sink population can only be temporarily sustained by the source population before resulting in an overall population decline (Kristan, Reference Kristan2003). Although ecological traps have been described for birds and insects, few studies have described ecological traps for mammals (Schlaepfer et al., Reference Schlaepfer, Runge and Sherman2002; Robertson & Hutto, Reference Robertson and Hutto2006).

Anthropogenic mortality around reserves has contributed to a rapid population decline of the African wild dog Lycaon pictus (Woodroffe et al., Reference Woodroffe, Ginsberg and Macdonald1997; Woodroffe & Ginsberg, Reference Woodroffe and Ginsberg1998; Gusset et al., Reference Gusset, Swarner, Mponwane, Keletile and McNutt2009), which is categorized as Endangered on the IUCN Red List (Woodroffe & Sillero-Zubiri, Reference Woodroffe and Sillero-Zubiri2012). This decline is accelerated by the species’ sociality; African wild dogs hunt and breed cooperatively, which has resulted in a positive relationship between aspects of fitness and pack size (Courchamp & Macdonald, Reference Courchamp and Macdonald2001; Rasmussen et al., Reference Rasmussen, Gusset, Courchamp and Macdonald2008; Gusset & Macdonald Reference Gusset and Macdonald2010).

Hwange National Park is the largest protected wildlife area in Zimbabwe (Peace Parks Foundation, 2009). As in other parts of Africa, the African wild dog population in and around the Park has decreased dramatically. In 1997 it was estimated there were 150–225 African wild dogs in this area (Rasmussen, Reference Rasmussen1997; Woodroffe et al., Reference Woodroffe, McNutt, Mills, Sillero-Zubiri, Hoffmann and Macdonald2004). Currently, the population in and around the Park is believed to be 50–70 individuals (Zimbabwe Parks & Wildlife Management Authority, 2009; Blinston et al., Reference Blinston, Rasmussen and Van der Meer2010). In this study we examined the reasons for this decline. We examined causes of mortality in and around the Park, the effect of territory placement on recruitment, and whether the buffer zone outside the Park functions as an ecological trap.

Study area

The c. 15,000 km2 Hwange National Park lies in north-west Zimbabwe. The Hwange region is classified as semi-arid, with a mean annual rainfall of 606 mm, and a wet season from October to April. Vegetation comprises scattered woodland scrub, mixed with grassland. African wild dog prey species include impala Aepyceros melampus, kudu Tragelaphus strepsiceros and duiker Sylvicapra grimmia. Lions and spotted hyaenas Crocuta crocuta, the natural competitors of African wild dogs (Mills & Gorman, Reference Mills and Gorman1997; Creel, Reference Creel2001), occur in the study area. Data were collected along the northern boundary of the Park, in an area of 6,000 km2 that includes part of the Park and its peripheral area (Fig. 1). Hwange National Park is a protected wildlife area, within which there are no human settlements or main roads. The Park is managed to minimize human impact and prevent illegal activities such as poaching. The buffer zone is designated for trophy hunting and to a lesser extent for photographic safaris. Most of this land is privately owned or state owned, and there are several human settlements within the buffer zone. The main tarmac road from Bulawayo to Victoria Falls runs through part of the study area (Fig. 1). As a consequence of the type of land use, the infrastructure, and a high human density, anthropogenic mortality of wildlife has historically been high in the buffer zone surrounding the Park (Rasmussen, Reference Rasmussen1997; Loveridge et al., Reference Loveridge, Searle, Murindagomo and Macdonald2007).

Fig. 1 The study area along the northern boundary of Hwange National Park, showing the protected wildlife area without human settlements (Hwange National Park), and the unprotected buffer zone with human settlements, designated for trophy hunting and photographic safaris (wildlife areas, farms). The rectangle on the inset indicates the position of the main map in Zimbabwe.

Methods

Data collection

Data were collected by G.S.A.R, using radio tracking and opportunistic observations (e.g. sightings from tourists and hunters). Individual African wild dogs were identified using their unique coat markings. Data from 15 radio-collared African wild dog packs were used, collected between 1991 and 2002, with a mean study duration of 29.5 ± SD 20.1 months per pack. A pack was defined as a potential breeding unit containing at least an alpha male and an alpha female. Social status was determined by direct behavioural observations. As soon as a pack had been located it was monitored continuously, from a distance of ⩾ 50 m, for as long as practically feasible (maximum 28 days). Activity was monitored visually or from motion sensors incorporated in the radio collars. Activity patterns were recorded at 5-minute scan intervals. Whenever a change in activity mode or direction occurred, location fixes were taken by using triangulation or visual observations and a global positioning system.

Packs were followed for a maximum of 5 successive years during which pack sizes, litter sizes, immigration, dispersals and deaths were recorded. Pups were counted at the den site as soon as possible after emergence from the den. Records of mortality are based on cases for which the cause of death was undisputed, with a carcass as evidence, and on reports with strong circumstantial evidence (e.g. reports of a dog shot coinciding with a dog missing from a study pack known to be utilizing that area). For an overview of African wild dog mortality over time, the data from the known individual packs as well as data based on sightings and reports between 1989 and 2010 were used (some of these data were published previously in Woodroffe et al., Reference Woodroffe, Davies-Mostert, Ginsberg, Graf, Leigh and McCreery2007).

In and around Hwange National Park African wild dog pups are born in May–June. Hence, annual periods were defined as starting with the denning season in May–June and ending just before the denning season of the following year. Age of individual African wild dogs was classified as: adult, ⩾ 2 years old; yearling, ⩾ 1 year and < 2 years old; pup, < 1 year old.

Analysis of data from study packs

For each pack position data for a given year were plotted using ArcGis v. 9.3 (ESRI, Redlands, USA). The Home Range Tools v. 1.1 extension for ArcGis (Rodgers et al., Reference Rodgers, Carr, Beyer, Smith and Kie2007) was used to calculate territory sizes and draw isopleths. To avoid bias an average position per day was used and only packs with > 50 points per year and ⩾ 1 point per week were included in the analysis. A 95% fixed Kernel method using least square cross validation (Seaman & Powell, Reference Seaman and Powell1996) was used to determine territory sizes inside and outside Hwange National Park. A 50% fixed Kernel method using least square cross validation was used to calculate core areas inside and outside the Park (Janmaat et al., Reference Janmaat, Olupot, Chancellor, Arlet and Waser2009; Tolon et al., Reference Tolon, Dray, Loison, Zeileis, Fischer and Baubet2009).

Based on the method used by Janmaat et al. (Reference Janmaat, Olupot, Chancellor, Arlet and Waser2009) and Tolon et al. (Reference Tolon, Dray, Loison, Zeileis, Fischer and Baubet2009), centroids for each territory were determined by calculating the average of the X and Y coordinates of the position data for a given pack in a given year. For each year, distance of the territory centroids to the Park border was determined. Distances inside the Park were marked as positive values and distances outside the Park as negative values (Tolon et al., Reference Tolon, Dray, Loison, Zeileis, Fischer and Baubet2009). Thus a gradient was created, with a decrease in distance the further a pack moved outside the Park. For different packs data were collected over several years and therefore a new variable was created by numbering sequential years. Data were available for a maximum of 5 sequential years.

A linear mixed model, based on maximum likelihoods, was used to analyse whether over succeeding years the distance of the territory centroids to the Park border became smaller. To control for possible pseudo-replication because of the fact that some packs were followed over more sequential years than others, we added individual pack identity as a random variable in the analysis. A similar model was used to determine whether there was a relationship between pack size and distance of the centroid to the Park border. To analyse whether there was a relationship between the number of pups born in a litter and the distance of the territory centroid to the Park border, a linear mixed model was used with the variables pack size and distance to the border, including pack identity as a random variable. A similar model was used to analyse whether there was a relationship between the distance of the territory centroid to the Park border and dispersal and immigration within a pack. To determine the relationship between mortality and the distance of the territory centroids to the Park border, the relative mortality was calculated by dividing the number of individuals that died by the number of living individuals. This calculation was made for overall mortality, overall mortality known to have been caused by humans (e.g. snares, cars, animals being shot), direct mortality known to have been caused by humans (e.g. animals being shot), indirect mortality known to have been caused by humans (e.g. snares, cars), mortality known to have been caused by natural circumstances (e.g. lions, hyaenas, disease, old age), and mortality caused by unknown circumstances.

To meet the assumption of normality, all mortality proportions were arcsine square root transformed. For the analysis of overall, human-caused (overall, direct and indirect), natural, and unknown mortality, a linear mixed model was used with distance of the territory centroid to the Park border as a variable and pack identity as a random variable. A similar model was used to determine whether the distance of the territory centroid to the border affected the size of territories and core areas used by the study packs. A t-test was used to compare the mean territory and core area size for packs with territory centroids inside and outside the Park.

As the position of the centroid of an African wild dog territory does not necessarily show whether the territory covers land strictly inside, both inside and outside, or strictly outside the Park, mean values for pack size at the start of a reproductive year and at the end of a reproductive year, litter size, mortality, dispersal and immigration were calculated for packs with a territory strictly inside the Park, territories that extend both inside and outside the Park, and territories strictly in the buffer zone outside the Park.

To illustrate the movement of African wild dog territories over the years, a fixed kernel method using least square cross validation (Seaman & Powell, Reference Seaman and Powell1996) was used to draw isopleths of the 50% core areas, using the Home Range Tools extension (Rodgers et al., Reference Rodgers, Carr, Beyer, Smith and Kie2007). Of the 15 study packs, one was extirpated and one disbanded within their first year, therefore we illustrate the movement of territories of only 13 of the 15 study packs.

Analysis of mortality data

Mortality data were analysed by displaying the frequencies in a contingency table, using Pearson's χ2 tests to see whether there was a significant relationship between inside or outside the Park, and human-caused or natural mortality. All statistical analyses were performed with SPSS v. 16.0 (SPSS, Chicago, USA).

Results

Study packs

Over time the African wild dog packs moved the centroids of their territories closer to or over the Hwange National Park border (F 4–29 = 12.18, P<0.001; Fig. 2). For an overview of values for succeeding years see Table 1. This movement was unidirectional; once a pack moved outside the Park it did not move back inside.

Fig. 2 Movement of the core area (50% kernel) of the territories of 13 African wild dog Lycaon pictus packs (P1–5, P7–10, 13, 14, 16, 17): (a) the core area of the packs at the start of the study period, (b) the core area of the packs at the end of the study period. The last four digits of PackID-Year indicate the year the pack was studied (the first two digits indicate the year starting with the denning season and the last two digits the year ending just before the denning season the following year; e.g. 9394 is 1993–1994). Note that overlaps are not real but arise from the fact that packs were observed during different years.

Table 1 Outcome of the linear mixed model for the distance from the centroid of African wild dog Lycaon pictus territories to the Hwange National Park (Fig. 1) border over succeeding years, showing that over time the centroids moved closer to or over the border.

Pack size at the start of a reproductive year was affected by distance of the territory centroid to the Park border (F 1–41 = 5.53, P = 0.024), with an increase in pack size with the movement of the centroid into the buffer zone outside the Park (regression coefficient B = −0.12 ± SE 0.05). Pack size at the end of a reproductive year was not affected by distance to the border (P > 0.05). The number of pups born within a litter was affected by distance of the territory centroid from the Park border (F 1–29 = 11.04, P = 0.002), and pack size at the start of a reproductive year (F 1–33 = 14.70, P = 0.001). Litter size increased with movement of the centroid into the buffer zone outside the Park (B = −0.17 ± SE 0.05), and an increase in pack size (B = 0.58 ± SE 0.15). Dispersal and immigration within a pack was not affected by the distance of the territory centroid to the Park border (P > 0.05). The distance of the territory centroids to the Park border affected overall mortality (F 1–30 = 5.88, P=0.022), mortality caused by humans (F 1–45 = 21.71, P < 0.001) and mortality caused by natural circumstances (F 1–45 = 4.38, P = 0.042) but not mortality caused by unknown circumstances (P > 0.05). Overall mortality increased with the movement of the centroid into the buffer zone (B = −0.74 ± SE 0.30), as did mortality caused by humans (B = −1.16 ± SE 0.25). Mortality caused by natural circumstances decreased with the movement of the centroid into the buffer zone (B = 0.54 ± SE 0.26). The distance of the territory centroid to the Park border affected both direct (F 1–44 = 8.79, P = 0.005) and indirect (F 1–45 = 8.88, P = 0.005) human-caused mortality, with an increase in direct (B = −0.53 ± SE 0.18) and indirect (B = −0.72 ± 0.24) human-caused mortality with the movement of the centroid into the buffer zone.

Territory size was affected by distance of the territory centroid to the Park border (F 1–43 = 11.89, P = 0.001), with a decrease in territory size with the movement of the centroid into the buffer zone (B = 21.84 ± SE 6.33). A similar result was found for the core area used (F 1–43 = 10.84, P = 0.002), showing a decrease with movement of the centroid outside the Park (B = 5.99 ± SE 1.82). Mean territory size for packs with a territory centroid inside the Park was 1,243.13 ± SE 103.76 km2, which was significantly larger than the 809.64 ± SE 86.69 km2 for packs with a territory centroid outside the Park (t (42) = 3.21, P = 0.003). There was also a significant difference in the size of the core area for packs with a territory centroid inside and outside the Park (t (42) = 2.96, P = 0.005): the core area for packs with a centroid inside the Park was 308.50 ± SE 30.25 km2; for packs with a centroid in the buffer zone it was 192.53 ± SE 24.82 km2.

Based on the mean values for packs with a territory strictly inside the Park, covering both land inside and outside the Park, or strictly outside the Park, it was found that even though pack size at the start of a reproductive year and the number of pups born outside the Park was higher, the overall mortality of African wild dogs was so high that there was effectively no recruitment and packs fell apart in groups below the minimal pack size of six individuals, necessary for optimal reproduction (Courchamp & Macdonald, Reference Courchamp and Macdonald2001; Rasmussen et al., Reference Rasmussen, Gusset, Courchamp and Macdonald2008; Table 2). Eleven of the 15 study packs were extirpated, with seven extirpations confirmed to have been caused by anthropogenic mortality.

Table 2 Mean recruitment (± SE) of African wild dogs per reproductive year in relation to placement of territory inside (n = 18) Hwange National Park (Fig. 1), at the border (n = 33), or outside the Park (n = 13), and overall.

Mortality data

From 1989 to 2010, 327 African wild dogs were reported dead. The majority (71.6%) of these deaths occurred in the buffer zone outside the Park, with a ratio of 1 dead individual inside the Park to 2.5 dead individuals outside the Park. Humans directly caused 61.8% of the reported deaths and 73.3% of the deaths if cascading effects were accounted for (i.e. pups and yearlings that died of starvation because adults were killed by humans; Table 3). Most (67.9%) anthropogenic causes of mortality were indirect, such as snares and road kills. Direct human-caused mortality (i.e. animals being shot) occurred between 1991 and 2000. After 2000 all cases of anthropogenic mortality were indirect.

Table 3 Causes of mortality (expressed as a percentage) of African wild dogs from 1989 to 2010 inside and outside Hwange National Park (Fig. 1).

There was a significant association between inside or outside the Park and whether or not mortality was caused by human or natural circumstances (χ2 = 100.99, P < 0.001). Based on the odds ratio, the odds of mortality caused by humans were 46.71 times higher outside the Park.

Recent observations

Although detailed information about pack sizes and territory movement was mainly collected between 1989 and 2002, individual observations show that the problem still exists. In 2009 and 2010 > 3,000 snares were collected in the buffer zone around Hwange National Park (Blinston et al., Reference Blinston, Rasmussen and Van der Meer2010). In August 2009 a pack of seven African wild dogs was released inside the Park in an area without resident packs. The pack moved out of the Park and within < 3 months was extirpated; two African wild dogs were killed on the main road, two were killed by snares, one dispersed, one individual was never seen again and was presumed dead, and one individual was recaptured.

In October 2006 a pack of 11 African wild dogs was released from the Painted Dog Conservation facilities. The pack established a territory outside Hwange National Park but within 3 months the first individuals were killed by snares. Of the 11 released, five died in snares, one individual was seriously injured by a snare and had to be recaptured, two individuals were killed by lions, two of the remaining three died for unknown reasons, and one remaining individual was recaptured.

Discussion

Although African wild dogs experienced a high level of anthropogenic mortality outside Hwange National Park, they moved their territories closer to, or over, the Park border. In a classic source-sink system, movement of animals into the sink is density dependent; i.e. surplus animals from the high-quality source habitat are forced to migrate into the low-quality sink habitat because there is not enough source habitat available (Pulliam, Reference Pulliam1988; Pulliam & Danielson, Reference Pulliam and Danielson1991; Dias, Reference Dias1996). Although the rate of migration could increase because of a vacuum effect, the movement of animals remains density dependent; animals move into the sink because lower population densities within the sink habitat reduce competition. However, the movement of African wild dogs into the buffer zone is unlikely to be density dependent because initially packs established territories inside the Park, and population densities were low both inside and outside the Park. The fact that territory sizes outside the Park were smaller than those inside the Park supports this theory, as generally territory sizes and population densities are negatively related (Marker & Dickman, Reference Marker and Dickman2005; Loveridge et al., Reference Loveridge, Hamson, Davidson, Macdonald, Macdonald and Loveridge2009a; Schradin et al., Reference Schradin, Schmohl, Rödel, Schoepf, Treffler and Brenner2010).

Territory sizes have also been found to be negatively related to prey density (Marker & Dickman, Reference Marker and Dickman2005; Loveridge et al., Reference Loveridge, Valeix, Davidson, Murindagomo, Fritz and Macdonald2009b) and are seen as an indication of resource distribution (Grant et al., Reference Grant, Chapman and Richardson1992). The smaller territories outside Hwange National Park could therefore be interpreted as an indication of higher prey abundance. Densities of kudu and impala were similar inside and outside the Park, but duiker densities were higher outside the Park (Van der Meer et al., Reference Van der Meer, Rasmussen, Muvengwi and Fritz2013). However, foraging distance (the distance at which a pack first encounters prey), the number of hunt periods per day and diet composition did not differ inside and outside the Park (Van der Meer et al., Reference Van der Meer, Rasmussen, Muvengwi and Fritz2013), and it therefore seems unlikely that differences in duiker abundance explain the observed differences in sizes of territories and core areas.

African wild dogs often coexist with lions and spotted hyaenas, which are known to affect African wild dogs by interspecific killing (Reich, Reference Reich1981; Woodroffe et al., Reference Woodroffe, Ginsberg and Macdonald1997) and kleptoparasitism (Reich, Reference Reich1981; Creel, Reference Creel2001; Gorman et al., Reference Gorman, Mills, Raath and Speakman1998). The risk of African wild dogs encountering lions and spotted hyaenas was significantly higher inside compared to outside Hwange National Park (Van der Meer et al., Reference Van der Meer, Moyo, Rasmussen and Fritz2011). This could explain why natural mortality decreased with an increase in distance of the territory centroid into the buffer zone outside the Park. African wild dogs have been found to move significantly longer distances after a kill when lions and spotted hyaenas are present (Rasmussen, Reference Rasmussen2009). With a lower level of competition with lions and spotted hyaenas in the buffer zone (Van der Meer et al., Reference Van der Meer, Moyo, Rasmussen and Fritz2011) African wild dogs possibly travelled less extensively to avoid them, which could have contributed to smaller territory sizes outside the Park.

As well as a higher hunting success and less competition with lions and hyaenas, African wild dogs outside Hwange National Park have been found to have better access to suitable den sites (Van der Meer, Reference Van der Meer2011). With an increase in litter size with the movement of the territory centroid outside the Park, it seems that the buffer zone serves as an ecological trap, where fitness-enhancing favourable ecological conditions attract African wild dogs unable to perceive the higher mortality risk posed by humans. The fact that the movement of African wild dog territories is unlikely to be density dependent supports this theory.

Ecological traps occur when sudden natural or human-induced changes cause formerly reliable ecological cues to be no longer associated with an adaptive outcome, causing animals to make a maladaptive choice for a habitat in which their reproductive success or adult survival is diminished (Kolbe & Janzen, Reference Kolbe and Janzen2002; Kristan, Reference Kristan2003). Studies on animals that experience direct anthropogenic mortality through shooting have shown that it is possible for animals to perceive and respond to direct human-caused mortality by changing their spatial distribution and/or temporal activity pattern (Kilgo et al., Reference Kilgo, Labisky and Fritzen1998; Swenson, Reference Swenson1999; Tolon et al., Reference Tolon, Dray, Loison, Zeileis, Fischer and Baubet2009; Rasmussen & Macdonald, Reference Rasmussen and Macdonald2012). With most of the anthropogenic causes of mortality in this study being indirect, it is unlikely that African wild dogs could adequately perceive and respond to the higher anthropogenic mortality risk in the buffer zone.

Within an ecological trap the sink population can only be temporarily sustained by the source population before resulting in an overall population decline (Kristan, Reference Kristan2003). Since 1997 the African wild dog population in and around Hwange National Park has been reduced by > 50% (Rasmussen, Reference Rasmussen1997; Woodroffe et al., Reference Woodroffe, Ginsberg and Macdonald1997; Zimbabwe Parks & Wildlife Management Authority, 2009), indicating that the source population no longer supports the sink population. This decline is likely to be accelerated by the positive relationship between pack size and reproduction; once the number of pack members drops below a critical size reproduction decreases (Courchamp & Macdonald, Reference Courchamp and Macdonald2001; Rasmussen et al., Reference Rasmussen, Gusset, Courchamp and Macdonald2008; Gusset & Macdonald Reference Gusset and Macdonald2010). Landscapes that, viewed in a source–sink framework, would be expected to support a stable population may instead lead to extirpation of a population, if sinks are actually traps (Delibes et al., Reference Delibes, Gaona and Ferreras2001; Kokko & Sutherland, Reference Kokko and Sutherland2001; Gilroy & Sutherland, Reference Gilroy and Sutherland2007). To ensure adequate conservation of a species it is important to define whether a system serves as a classic source–sink system, where resources are most efficiently used by conserving high-quality habitat to maintain the source population, or whether a system serves as an ecological trap, where conservation efforts should focus on reducing the attractiveness or increasing the quality of the low-quality habitat to prevent rapid extirpation of the species.

To prevent extirpation of African wild dogs in and around Hwange National Park conventional fencing (Gusset et al., Reference Gusset, Ryan, Hofmeyr, van Dyk, Davies-Mostert and Graf2008) or bio-fencing using scent mark deployment (Jackson et al., Reference Jackson, McNutt and Apps2012) could be considered. Although both types of fencing have been successfully used to restrict the ranging behaviour of African wild dogs (Gusset et al., Reference Gusset, Ryan, Hofmeyr, van Dyk, Davies-Mostert and Graf2008; Jackson et al., Reference Jackson, McNutt and Apps2012) it comes at considerable ecological costs because it reduces connectivity and obstructs natural dispersal (Somers et al., Reference Somers, Gusset, Dalerum, Somers and Hayward2012). Because of favourable ecological conditions, the buffer zone has the potential to be the most productive African wild dog habitat. Increasing the quality of the buffer zone by reducing the level of anthropogenic mortality through the prevention of illegal activities such as poaching, and the promotion of a positive attitude towards African wild dogs, is therefore likely to be the best solution to ensure recovery of the African wild dog population in and around Hwange National Park.

Acknowledgements

The Zimbabwe Research Council and the Zimbabwe Parks and Wildlife Management Authority are kindly acknowledged for providing the opportunity to carry out this research. In addition we would like to thank the Hwange National Parks and Wildlife Management Authority, the Natural History Museum of Zimbabwe, Forestry Commission, Touch the Wild, The Hide, Hwange Safari Lodge, Lions Den Enterprises, and the various farmers within the Gwaai Intensive Conservation Area for allowing us access to their premises and supporting our fieldwork. We thank Jealous Mpofu for assisting with the field work. We thank Simon Chamaillé-Jammes and Marion Valeix for their comments, and anonymous referees for their critiques. This study was supported by Stichting Painted Dog Conservation and the Painted Dog Conservation project.

Biographical sketches

Esther van der Meer is founder and director of Cheetah Conservation Project Zimbabwe. Her research interests are in conservation ecology, carnivore interactions and predator–prey interactions. Herve Fritz is founder and director of the Hwange Environmental Research Development project. His research focuses on large herbivore ecology, predator–prey interactions and the influence of human activities and land use on biodiversity. Peter Blinston is managing director of the Painted Dog Conservation project and helps translate vision and research into effective conservation programmes. Gregory Rasmussen is founder and research director of the Painted Dog Conservation project and a member of the IUCN/Species Survival Commission Canid Specialist Group. For more than 20 years he has been conducting research on African wild dog ecology in relation to the conservation of the species.

References

Bailey, T.N., Bangs, E.E., Portner, M.F., Malloy, J.C. & McAvinchey, R.J. (1986) An apparent overexploited lynx population on the Kenai peninsula, Alaska. Journal of Wildlife Management, 50, 279290.CrossRefGoogle Scholar
Balme, G.A., Slotow, R. & Hunter, L. (2009) Impact of conservation interventions on the dynamics and persistence of a persecuted leopard (Panthera pardus) population. Biological Conservation, 142, 26812690.CrossRefGoogle Scholar
Battin, J. (2004) When good animals love bad habitats: ecological traps and the conservation of animal populations. Conservation Biology, 18, 14821491.CrossRefGoogle Scholar
Blinston, P., Rasmussen, G.S.A. & Van der Meer, E. (2010) Painted Dog Conservation End of the Year Report 2010. PDC, Dete, Zimbabwe.Google Scholar
Courchamp, F. & Macdonald, D.W. (2001) Crucial importance of pack size in the African wild dog (Lycaon pictus). Animal Conservation, 4, 169174.CrossRefGoogle Scholar
Creel, S. (2001) Four factors modifying the effect of competition on carnivore population dynamics as illustrated by African wild dogs. Conservation Biology, 15, 271271.CrossRefGoogle Scholar
Delibes, M., Gaona, P. & Ferreras, P. (2001) Effects of an attractive sink leading into maladaptive habitat selection. American Naturalist, 158, 277285.CrossRefGoogle ScholarPubMed
Dias, P.C. (1996) Sources and sinks in population biology. TREE, 11, 326330.Google ScholarPubMed
Gilroy, J.J. & Sutherland, W.J. (2007) Beyond ecological traps: perceptual errors and undervalued resources. Trends in Ecology and Evolution, 22, 351356.CrossRefGoogle ScholarPubMed
Gorman, M.L., Mills, M.G.L., Raath, J.P. & Speakman, J.R. (1998) High hunting costs make African wild dog vulnerable to kleptoparasitism by hyenas. Nature, 391, 479481.CrossRefGoogle Scholar
Grant, J.W.A., Chapman, C.A. & Richardson, K.S. (1992) Defended vs. undefended home range size of carnivores, ungulates and primates. Behavioral Ecology and Sociobiology, 31, 149161.CrossRefGoogle Scholar
Gunther, I. & Terkel, J. (2002) Regulation of free-roaming cat (Felis silvestris catus) populations: a survey of the literature and its application to Israel. Animal Welfare, 11, 171188.CrossRefGoogle Scholar
Gusset, M. & Macdonald, D.W. (2010) Group size effects in cooperatively breeding African wild dogs. Animal Behaviour, 79, 425428.CrossRefGoogle Scholar
Gusset, M., Ryan, S.J., Hofmeyr, M., van Dyk, G., Davies-Mostert, H.T., Graf, J.A. et al. (2008) Efforts going to the dogs? Evaluating attempts to re-introduce endangered wild dogs in South Africa. Journal of Applied Ecology, 45, 100108.CrossRefGoogle Scholar
Gusset, M., Swarner, M.J., Mponwane, L., Keletile, K., & McNutt, J.W. (2009) Human–wildlife conflict in northern Botswana: livestock predation by Endangered African wild dog Lycaon pictus and other carnivores. Oryx, 43, 6772.CrossRefGoogle Scholar
Inskip, C. & Zimmermann, A. (2009) Human–felid conflict: a review of patterns and priorities worldwide. Oryx, 43, 1834.CrossRefGoogle Scholar
Jackson, C.R., McNutt, J.W. & Apps, P.J. (2012) Managing the ranging behaviour of African wild dogs (Lycaon pictus) using translocated scent marks. Wildlife Research, 39, 3134.CrossRefGoogle Scholar
Janmaat, K.R.L., Olupot, W., Chancellor, R.L., Arlet, M.E. & Waser, P.M. (2009) Long-term site fidelity and individual home range shifts in Lophocebus albigena . International Journal of Primatology, 30, 443466.CrossRefGoogle ScholarPubMed
Ji, W., Sarre, S.D., Aitken, N., Hankin, R.K.S. & Clout, M.N. (2001) Sex-biased dispersal and a density-independent mating system in the Australian brush tail possum, as revealed by minisatellite DNA profiling. Molecular Ecology, 10, 15271537.CrossRefGoogle Scholar
Kilgo, J.C., Labisky, R.F. & Fritzen, D.E. (1998) Influences of hunting on the behaviour of white-tailed deer: implications for conservation of the Florida panther. Conservation Biology, 12, 13591364.Google Scholar
Kokko, H. & Sutherland, W.J. (2001) Ecological traps in changing environments: ecological and evolutionary consequences of a behaviourally mediated Allee effect. Evolutionary Ecology Research, 3, 37551.Google Scholar
Kolbe, J.J. & Janzen, F.J. (2002) Impact of nest site selection on nest success and nest temperature in natural and disturbed habitats. Ecology, 83, 269281.CrossRefGoogle Scholar
Kristan, W.B. (2003) The role of habitat selection behaviour in population dynamics: source–sink systems and ecological traps. Oikos, 103, 457468.CrossRefGoogle Scholar
Loveridge, A.J., Hamson, G., Davidson, Z. & Macdonald, D.W. (2009a) Chapter 11: African Lions on the edge: reserve boundaries as ‘attractive sinks’. In The Biology and Conservation of Wild Felids (eds Macdonald, D.W. & Loveridge, A.J.), pp. 283304. Oxford University Press, Oxford, UK.Google Scholar
Loveridge, A.J., Searle, A.W., Murindagomo, F. & Macdonald, D.W. (2007) The impact of sport-hunting on the population dynamics of an African lion population in a protected area. Biological Conservation, 134, 548558.CrossRefGoogle Scholar
Loveridge, A.J.M., Valeix, M., Davidson, Z., Murindagomo, F., Fritz, H. & Macdonald, D.W. (2009b) Changes in home range size of African lions in relation to pride size and prey biomass in a semi-arid savanna. Ecography, 32, 953962.CrossRefGoogle Scholar
Macdonald, D.W., Riordan, P. & Mathews, F. (2006) Biological hurdles to the control of TB in cattle: a test of two hypotheses concerning wildlife to explain the failure of control. Biological Conservation, 131, 268286.CrossRefGoogle Scholar
Marker, L.L. & Dickman, A.J. (2005) Factors affecting leopard (Panthera pardus) spatial ecology, with particular reference to Namibian farmland. South African Journal of Wildlife Research, 35, 105115.Google Scholar
Mills, M.G.L. & Gorman, M.L. (1997) Factors affecting the density and distribution of wild dogs in the Kruger National Park. Conservation Biology, 11, 13971406.CrossRefGoogle Scholar
Peace Parks Foundation (2009) Integrated Development Plan: Zimbabwean Component of the KAZA TFCA. Parks and Wildlife Management Authority, Harare, Zimbabwe.Google Scholar
Pulliam, H.R. (1988) Sources, sinks and population regulation. American Naturalist, 132, 652661.CrossRefGoogle Scholar
Pulliam, H.R. & Danielson, B.J. (1991) Sources, sinks and habitat selection: a landscape perspective on population dynamics. American Naturalist, 137, S50S66.CrossRefGoogle Scholar
Rasmussen, G.S.A. (1997) Conservation Status of the Painted Hunting Dog Lycaon pictus in Zimbabwe. Zimbabwe Parks and Wildlife Management Authority, Ministry of Environment and Tourism, Harare, Zimbabwe.Google Scholar
Rasmussen, G.S.A. (2009) Anthropogenic factors influencing biological processes of the painted dog Lycaon pictus. PhD thesis. Oxford University, Oxford, UK.Google Scholar
Rasmussen, G.S.A., Gusset, M., Courchamp, F. & Macdonald, D.W. (2008) Achilles' heel of sociality revealed by energetic poverty trap in cursorial hunters. The American Naturalist, 172, 508518.CrossRefGoogle ScholarPubMed
Rasmussen, G.S.A. & Macdonald, D.W. (2012) Masking of the zeitgeber: African wild dogs mitigate persecution by balancing time. Journal of Zoology, 286, 232242.CrossRefGoogle Scholar
Reich, A. (1981) The behaviour and ecology of the African wild dog Lycaon pictus in the Kruger National Park. PhD. thesis. Yale University, New Haven, USA.Google Scholar
Rodgers, A.R., Carr, A.P., Beyer, H.L., Smith, L. & Kie, J.G. (2007) HRT: Home Range Tools for ArcGIS. Http://flash.lakeheadu.ca/∼arodgers/hre/ [accessed 28 June 2013].Google Scholar
Robertson, B.A. & Hutto, R.L. (2006) A framework for understanding ecological traps and an evaluation of existing evidence. Ecology, 87, 10751085.CrossRefGoogle Scholar
Schlaepfer, M.A., Runge, M.C. & Sherman, P.W. (2002) Ecological and evolutionary traps. TREE, 17, 474480.Google Scholar
Schradin, C., Schmohl, G., Rödel, H.G., Schoepf, I., Treffler, S.M., Brenner, J. et al. (2010) Female home range size is regulated by resource distribution and intraspecific competition: a long-term field study. Animal Behaviour, 79, 195203.CrossRefGoogle Scholar
Seaman, D.E. & Powell, R.A. (1996) An evaluation of the accuracy of kernel density estimators for home range analysis. Ecology, 77, 20752085.CrossRefGoogle Scholar
Somers, M.J., Gusset, M. & Dalerum, F. (2012) Modelling the effect of fences on the viability of spatially structured populations of African wild dogs. In Fencing for Conservation: Restriction of Evolutionary Potential or a Riposte to Threatening Processes? (eds Somers, M.J. & Hayward, M.W.), pp. 187196. Springer, New York, USA.CrossRefGoogle Scholar
Swenson, J.E. (1999) Does hunting affect the behavior of brown bears in Eurasia? Ursus, 11, 157162.Google Scholar
Tolon, V., Dray, S., Loison, A., Zeileis, A., Fischer, C. & Baubet, E. (2009) Responding to spatial and temporal variations in predation risk: space use of a game species in a changing landscape of fear. Canadian Journal of Zoology, 87, 11291137.CrossRefGoogle Scholar
Van der Meer, E. (2011) Is the grass greener on the other side? Testing the ecological trap hypothesis for African wild dogs (Lycaon pictus) in and around Hwange National Park, Zimbabwe. PhD thesis. Lyon University, Lyon, France.Google Scholar
Van der Meer, E., Moyo, M., Rasmussen, G.S.A. & Fritz, H. (2011) An empirical and experimental test of risk and costs of kleptoparasitism for African wild dogs (Lycaon pictus) inside and outside a protected area. Behavioral Ecology, 22, 985992.CrossRefGoogle Scholar
Van der Meer, E., Rasmussen, G.S.A., Muvengwi, J. & Fritz, H. (2013) Foraging costs, hunting success and its implications for African wild dog (Lycaon pictus) conservation inside and outside a protected area. African Journal of Ecology, doi 10.1111/aje.12092.Google Scholar
Woodroffe, R. (2000) Predators and people: using human densities to interpret declines of large carnivores. Animal Conservation, 3, 165173.CrossRefGoogle Scholar
Woodroffe, R. & Ginsberg, J.R. (1998) Edge effects and the extinction of populations inside protected areas. Science, 280, 21262128.CrossRefGoogle ScholarPubMed
Woodroffe, R., Ginsberg, J.R. & Macdonald, D. (1997) The African Wild Dog—Status Survey and Conservation Action Plan. IUCN/Species Survival Commission Canid Specialist Group. Http://www.canids.org/PUBLICAT/AWDACTPL/african_wild_dog_AP.pdf [accessed 28 June 2013].Google Scholar
Woodroffe, R., Davies-Mostert, H., Ginsberg, J., Graf, J., Leigh, K., McCreery, K. et al. (2007) Rates and causes of mortality in Endangered African wild dogs Lycaon pictus: lessons for management and monitoring. Oryx, 41, 215223.CrossRefGoogle Scholar
Woodroffe, R., McNutt, J.W. & Mills, M.G.L. (2004) African wild dog (Lycaon pictus). In Canids: Foxes, Wolves, Jackals and Dogs 2004 Status Survey and Conservation Action Plan (eds Sillero-Zubiri, C., Hoffmann, M. & Macdonald, D.W.), pp. 174183. IUCN/Species Survival Commission Canid Specialist Group, Geneva, Switzerland. Http://www.canids.org/cap/index.htm [accessed 28 June 2013].Google Scholar
Woodroffe, R. & Sillero-Zubiri, C. (2012) Lycaon pictus. In IUCN Red List of Threatened Species v. 2012.2. Http://www.iucnredlist.org [accessed 25 June 2013].Google ScholarPubMed
Zimbabwe Parks & Wildlife Management Authority (2009) National Conservation Action Plan for Cheetahs and African Wild Dogs in Zimbabwe. Zimbabwe Parks and Wildlife Management Authority, Harare, Zimbabwe.Google Scholar
Figure 0

Fig. 1 The study area along the northern boundary of Hwange National Park, showing the protected wildlife area without human settlements (Hwange National Park), and the unprotected buffer zone with human settlements, designated for trophy hunting and photographic safaris (wildlife areas, farms). The rectangle on the inset indicates the position of the main map in Zimbabwe.

Figure 1

Fig. 2 Movement of the core area (50% kernel) of the territories of 13 African wild dog Lycaon pictus packs (P1–5, P7–10, 13, 14, 16, 17): (a) the core area of the packs at the start of the study period, (b) the core area of the packs at the end of the study period. The last four digits of PackID-Year indicate the year the pack was studied (the first two digits indicate the year starting with the denning season and the last two digits the year ending just before the denning season the following year; e.g. 9394 is 1993–1994). Note that overlaps are not real but arise from the fact that packs were observed during different years.

Figure 2

Table 1 Outcome of the linear mixed model for the distance from the centroid of African wild dog Lycaon pictus territories to the Hwange National Park (Fig. 1) border over succeeding years, showing that over time the centroids moved closer to or over the border.

Figure 3

Table 2 Mean recruitment (± SE) of African wild dogs per reproductive year in relation to placement of territory inside (n = 18) Hwange National Park (Fig. 1), at the border (n = 33), or outside the Park (n = 13), and overall.

Figure 4

Table 3 Causes of mortality (expressed as a percentage) of African wild dogs from 1989 to 2010 inside and outside Hwange National Park (Fig. 1).