Elephant Movement Research Articles

Exploring implications of elephant movements between land use types in an arid savannah landscape

While the numbers and distribution of African savannah elephants (Loxodonta africana) have declined in most African range States, they have been steadily increasing in much of southern Africa. In Namibia’s arid north-west, elephants are expanding beyond Protected areas (PA) into multiple types of land use, leading to socio-economic implications, both positive and negative. Our study aimed to quantify cross-land use movements and fence breaches and explore the institutional, legislative and policy implications of fencing, and a new conservation paradigm for the area. We used satellite movements of eight collared elephant herds in multiple types of land use to the south and west of Etosha National Park for one year. Of these herds, seven had home ranges spanning multiple PA/communal/commercial landscapes, often crossing fences with management or disease significance. The implications of the movements between land uses are assessed in the context of relevant policy regarding management and economics. We conclude that despite challenges to livestock disease control and fencing damage, the expansion of elephant range has resulted in economic benefits to landowners and communal conservancies through tourism and possible consumptive use opportunities, as well as an improvement in general wildlife conservation practices in the area. Regardless of these benefits and the growing interest among rural residents in supporting the establishment of elephant corridors and the removal of fences, Namibia’s legal and policy framework creates numerous implications for landowners and managers when considering fence breaches by elephants. We conclude with recommendations for holistic situational analysis of policy, law and practice and the consideration of amendments to outdated fencing requirements, thereby unlocking the economic and conservation benefits of elephant range expansion in the area.

Mapping elephant movement across Africa

Mapping elephant movement across Africa

Patterns of spatial dynamics and distribution of african elephants (Loxodonta africana) in the Central Kalahari Game Reserve, Botswana

The African elephant (Loxodonta africana), once thought to be absent from the Kalahari Desert in Southern Africa, has recently reestablished or expanded its range into the Central Kalahari Game Reserve (CKGR), Botswana, with documented occurrences over the past decade. This study explores the temporal and spatial dynamics of elephants in and around the CKGR, focusing on their largely understudied movement patterns. Movement and home range data was obtained from two adult female and eight adult male elephants using GPS/UHF collars. The analysis revealed distinct seasonal ranging behaviours. Collared females migrated between CKGR and the Okavango Delta periphery, while collared male showed both migratory and sedentary patterns around artificial water points and Gope mine in CKGR. Some collared male elephants migrated to the Kavango Zambezi Transfrontier Conservation Area (KAZA) during the wet season, returning to the CKGR in the dry season. This pattern confirms established migration routes and the emergence of pseudo-resident male elephants within CKGR. These findings highlight the importance of management strategies that integrate water distribution, elephant movement, and human-elephant conflicts. Ensuring ecological connectivity beyond the KAZA region is vital for the long-term survival of elephants and other key species.

Seasonal variation of home range size and habitat selection of elephants in the Kabompo landscape of Zambia

BackgroundMovements of large herbivores and habitat utilization provide critical information for ecological monitoring and conservation. However, such geospatial information rarely exists, especially in sub-Saharan Africa. This study aims to provide insight on seasonal variation of home range size and habitat utilization by African savanna elephants (Loxodonta africana) in Zambia’s Kabompo Landscape.MethodsTwo male sub-adult elephants (estimated age 10–15 years) were collared and monitored between March 2018 and December 2021 using the Geographic Position System (GPS) tracking devices. We used Minimum Convex Polygon (MCP), which uses the outermost points, to arrive at the largest home range of a study subject and the Kernel Density Estimator (KDE), which captures the intensity use of various parts of the home range. Distance from the river, elevation, slope, land cover type, fire intensity and Normalized Difference Vegetation Index (NDVI) were assessed against habitat selection by elephants using multinomial logistic regression.ResultsThe findings showed that the movements of the elephants were largely confined within the West Lunga National Park. The wet season had the largest home range (1720.8 km2) dominated by grassland, while the cold dry season had the smallest area of 931.8 km2. Elevation and land cover types had significant (p-value < 0.05) influence on home range across all the seasons. Other factors also had positive and negative impacts on the home range selection depending on the season.ConclusionsThe insights from this study can be exemplary relevant to conservation planning through monitoring seasonal movement of elephants.

Geospatial analysis of elephant habitat suitability and movement for mapping the elephant corridor in Dalma Wildlife Sanctuary (India).

Wildlife and natural resources constitute an integral part of the ecosystem, whereas human interventions dismantled the living conditions of the wildlife. This is testified in the Dalma Wildlife Sanctuary (DWS) where the habitats of Asian elephants have changed due to human intervention and deforestation over the decades. The present study aimed to assess the elephant habitat suitability in the DWS of Jharkhand state (India) using the geospatial parameters such as forest density, degree of slope, proximity to water bodies, land use land cover, proximity to agricultural land, built-up density, and road density. The analytical hierarchical process technique was utilized to determine habitat preference and selection of relevant factors to categorize criteria. The study revealed that about 6.7% (26.74 km2) of the area is very highly suitable for elephant habitat, while 52.26% (208.49 km2) of the forest area was found highly suitable. The most suitable habitat was identified in the core parts of the forest, while the least suitable areas were found in the southern part, where the presence of roads, built-up, and agricultural land was prominent. It was also observed that most human-elephant conflicts were exhibited in the low and very low suitable areas, while 90% of the elephant movement was witnessed in the high and very high suitable areas. Among the four identified corridors, three are inactive, and their location corresponds with low to very low suitable habitats. The study identified the migratory corridor routes inside the sanctuary where effective management is required for the conservation of elephant habitats and minimizing conflicts.

An agent-based model of elephant crop raid dynamics in the Periyar–Agasthyamalai complex, India

Human–wildlife conflict challenges conservation worldwide, which requires innovative management solutions. We developed a prototype Agent-Based Model (ABM) to simulate interactions between humans and solitary bull Asian elephants in the Periyar–Agasthyamalai complex of the Western Ghats in Kerala, India. The main challenges were the complex behavior of elephants and insufficient movement data from the region. Using literature, expert insights, and field surveys, we created a prototype behavior model that incorporates crop habituation, thermoregulation, and aggression. We designed a four-step calibration method to adapt relocation data from radio-tagged elephants in Indonesia to model elephant movements in the model domain. The ABM’s structure, including the assumptions, submodels, and data usage are detailed following the Overview, Design concepts, Details protocol. The ABM simulates various food availability scenarios to study elephant behavior and environmental impact on space use and conflict patterns. The results indicate that the wet months increase conflict and thermoregulation significantly influences elephant movements and crop raiding. Starvation and crop habituation intensify these patterns. This prototype ABM is an initial model that offers information on the development of a decision support system in wildlife management and will be further enhanced with layers of complexity and subtlety across various dimensions. Access the ABM at https://github.com/quest-lab-iisc/abm-elephant-project.

The influence of biophysical characteristics on elephant space use in an African savanna

Understanding the influence of biophysical variables on spatial distribution and seasonal locations of elephants is valuable inter alia in understanding their movement patterns, and the carrying capacity to optimise the conservation of their habitats. Furthermore, understanding elephant distribution in time and space is beneficial for predicting locations for tourist viewing and determining potential areas of human–wildlife conflicts. In this study, we examined the environmental drivers of seasonal variations in elephant ranges and movement using telemetry data. Using the elephant tracking data and biophysical characteristics, the Adaptive-Local Convex Hull (a-LoCoH) and the Maximum Entropy Modelling (MaxEnt) algorithm were adopted to determine their potential locations and distribution in a protected area. The jackknife approach was used to assess the environmental factors influencing seasonal elephant movements based on collar data from ten individual elephants tracked between December 2015 and April 2018. The performance of the elephant distribution models for the two seasons was assessed using the area under the curve from the receiver operating characteristic based on a 30% test holdout data. Results showed that the core a-LoCoH home of elephants was larger in the dry than wet season (Wilcoxon signed-rank test; W = 3, Z = 2.4973, p < 0.012). However, no noticeable differences were observed (Wilcoxon signed-rank test; W = 10, Z = 1.7838, p < 0.07) between the dry and wet season for the total (90%) a-LoCoH ranges. The MaxEnt modelling results showed that distance to the artificial water holes was the most influential variable in predicting the potential elephant spatial distribution in both wet and dry seasons, while the normalised difference vegetation index, a proxy for forage availability, was more influential in the dry season in predicting elephant distribution. The study concludes that seasonal elephant space use is mostly influenced by water availability in both seasons, while forage availability and variability influence elephant distribution more strongly in the dry than wet season. The study provides valuable insight into the biophysical characteristics of elephant home ranges. This is useful for the sustainable management of elephants and their habitats.

Seasonal variation in the ranging behavior of elephants in the Laikipia-Samburu ecosystem.

African savanna elephants are a highly mobile species that ranges widely across the diversity of ecosystems they inhabit. In xeric environments, elephant movement patterns are largely dictated by the availability of water and suitable forage resources, which can drive strong seasonal changes in their movement behavior. In this study, we analyzed a unique movement dataset from 43 collared elephants, collected over a period of 10 years, to assess the degree to which seasonal changes influences home range size of elephants in the semi-arid, Laikipia-Samburu ecosystem of northern Kenya. Auto-correlated Kernel Density Estimation (AKDE) was used to estimate elephants' seasonal home range size. For each individual elephant, we also calculated seasonal home range shifts, as the distance between wet season home range centroids and dry season home range centroids. Core areas (50% AKDE isopleths) of all individual elephants ranged from 3 to 1743 km2 whereas total home range sizes (the 95% AKDE isopleths) ranged between 15 and 10,677 km2. Core areas and home range sizes were 67% and 61% larger, respectively, during the wet season than during the dry season. On average, the core area centroids for all elephants were 17 km away from the nearest river (range 0.2-150.3 km). Females had their core areas closer to the river than males (13.5 vs. 27.5 km). Females differed from males in their response to seasonal variation. Specifically, females tended to occupy areas farther from the river during the wet season, while males occupied areas further from the river during the dry season. Our study highlights how elephants adjust their space use seasonally, which can be incorporated into conservation area planning in the face of increased uncertainty in rainfall patterns due to climate change.

Elephant pathway use in a human‐dominated landscape

Habitat loss and fragmentation are two of the biggest threats facing wildlife today. Understanding the role of wildlife pathways in connecting resource areas is key for maintaining landscape connectivity, reducing the impacts of habitat loss and helping address human–wildlife conflict. In this study, we used sign surveys and camera trapping to understand the fine scale movement of elephants moving between a protected area and agricultural zone in the Masai Mara, Kenya. We used generalised linear models to determine factors driving high frequency of pathway use by elephants. Our results showed strong seasonal trends in pathway use, with peaks coinciding with the dry season. However, no correlations between rainfall and pathway use were found. Temporal patterns of pathway use indicate that elephants use risk avoidance strategies by moving between the two areas at times of low human disturbance. Spatial analysis revealed that the most frequently used pathways were closer to farms, saltlicks and forest and those that had a higher percentage of forest cover. Our models also showed a positive relationship between pathway use and the number of elephant crop raiding incidents, highlighting that pathways can play a role in human–elephant conflict. As habitat loss continues, pathways may become more important for linking resources. However, they are also likely to facilitate movement into farmland. The results from this study provide an opportunity for planned management activities to ensure connectivity and to mitigated conflict.

Twisting collars on male elephants in shrub terrain: animal welfare considerations for researchers, managers and manufacturers

For the purposes of testing the impacts of habitat expansion on elephant movement, six XL LoRa elephant radio collars were fixed on three adult male elephants and three adult female elephants prior to a fence being removed at Kariega Game Reserve, South Africa. While none of the collars on female elephants twisted, within five months, all the male elephant collars had twisted, with some triple and double twisting. Behavioural monitoring revealed indications of irritation that resulted in the removal and/or replacement of all twisted collars. It was discovered that two of the male elephants had developed wounds underneath their twisted collars, therefore, only one elephant was re-collared, with a collar that was modified to minimize further risk of twisting, however it twisted again. To investigate this rare incidence of elevated collar twisting, our study assessed the following: elephant behaviour to guide decision-making around interventions and well-being; when, where and how these incidents occurred to investigate the mechanism of twisting and the likelihood of human error; collar design and refurbishment to develop recommendations to minimize the likelihood of twisting; and data obtained from organizations using elephant collars for comparison. From this, it was theorized that browsing behaviour in bulls in dense vegetation, and inadequate collar design were the likely causes in twisting occurrence. We urge organizations using LoRa elephant collars to emphasize post-application monitoring, and exercise caution, when attaching on bulls in dense vegetation. We encourage collar manufacturers to thoroughly investigate twisting incidents and adjust collar structures accordingly, and inform clients about the possibility of twisting. By addressing these issues, we can better ensure the well-being of elephants, research success, and improved device safety and efficacy.

A Snapshot into the Lives of Elephants: Camera Traps and Conservation in Etosha National Park, Namibia

Knowledge of elephant movement and grouping patterns in the wild is critical for their management and conservation. Much of these data come from GPS collar data and aerial surveys, which have provided invaluable information, but data from these methods are often limited to small groups or entire populations. Effective elephant management requires both generalized and localized methodologies. Here, we propose the expanded use of camera traps in research relating to elephant localized movements and grouping patterns as an additional tool for elephant conservation management. In this study, we use a battery-powered camera trap to provide daily high-resolution data of African savanna elephant (Loxodonta africana) grouping patterns over the course of an entire year. We present findings on the seasonal and diurnal grouping patterns of elephants at a waterhole in the northeast corner of Etosha National Park from July 2016 to June 2017. The frequency of elephant occurrences varied seasonally and diurnally across all group types (solitary male, male, family, and mixed groups), while group sizes did not vary seasonally, except for male groups. Solitary males occurred relatively equally throughout the day, while male and mixed groups occurred the most midday, and family groups occurred the most in the afternoon. Additionally, we measured the reliability of research assistants when collecting group type and group size data from the camera trap images. Intra- and inter-observer reliability was excellent among and across research assistants, highlighting the potential for non-specialist observers to have greater involvement in camera trap data collection. Our results support the use of camera trap data where GPS collars and aerial surveys are not feasible and where higher-resolution data are needed for more localized management. Finally, we discuss our experience with two different types of camera traps to highlight the pros and cons of each approach.

Factors affecting movement pattern of Sumatran elephant in Air Rami Production Forest, Bengkulu, Indonesia

Abstract. Laksmitha N, Santosa Y, Rahman DA. 2023. Factors affecting movement pattern of Sumatran elephant in Air Rami Production Forest, Bengkulu, Indonesia. Biodiversitas 24: 5539-5546. The decline in the quality and quantity of elephant natural habitat is a trigger factor for human-elephant conflict and results in a decrease in the elephant population. Research related to movement and habitat factors determining elephant movement is important to obtain information that can be used as a basis for conflict management and mitigation in the long term. We analyzed collared GPS data from a female adult elephant (n=1) in Air Rami Production Forest with recordings from November 2020 to August 2022. This study aims to investigate the relationship between the Sumatran elephant’s daily movement distance and movement period with habitat factors. The data obtained were analyzed using multiple regression analysis with tested variables, including secondary forest land cover, altitude, slope, distance from water sources, settlements, roads, and daily movement distance/movement period. The results showed that secondary forest land cover, slopes, movement period, distance from water sources, settlements, and roads influence the elephant's daily movement distance. Meanwhile, the relationship between the movement period is only influenced by slopes, distance from settlements and roads, and daily movement distance. Our study further provides information recognizing the preferred habitat factor of the Sumatran elephant, which gives stakeholders an essential tool for conservation.

Real-Time Tracking of Wildlife with IoT Solutions in Movement Ecology

Movement ecology has grown increasingly significant in the backdrop of global environmental changes, emphasizing the importance of understanding animal mobility patterns. The integration of Internet of Things (IoT) technology offers transformative potential for real-time wildlife tracking, addressing limitations of traditional methods like radio telemetry. Through IoT devices, researchers can acquire immediate, high-resolution datasets spanning vast distances, capturing multiple data points such as environmental conditions and physiological parameters. Existing implementations range from monitoring elephant movements in Africa to observing bird migrations. However, while promising, challenges like battery longevity, device weight, data management, and animal safety persist. As technological advances emerge, future prospects include more efficient, integrated solutions combining IoT with other technologies, poised to reshape and enrich our understanding of wildlife movement.

Modelling elephant corridors over two decades reveals opportunities for conserving connectivity across a large protected area network.

Protected area (PA) connectivity is pivotal for the persistence of wide-ranging wildlife species, but is challenged by habitat loss and fragmentation. We analyzed habitat suitability and connectivity for the African elephant (Loxodonta africana) across PAs in south-western Tanzania in 2000, 2010, and 2019. We quantified land-use changes through remote sensing data; estimated habitat suitability through aerial survey data, remotely sensed variables and ensemble species distribution models; modelled least-cost corridors; identified the relative importance of each corridor for the connectivity of the PA network and potential bottlenecks over time through circuit theory; and validated corridors through local ecological knowledge and ground wildlife surveys. From 2000 to 2019, cropland increased from 7% to 13% in the region, with an average expansion of 634 km2 per year. Distance from cropland influenced elephant distribution models the most. Despite cropland expansion, the locations of the modelled elephant corridors (n = 10) remained similar throughout the survey period. Based on local ecological knowledge, nine of the modelled corridors were active, whereas one modelled corridor had been inactive since the 1970s. Based on circuit theory, we prioritize three corridors for PA connectivity. Key indicators of corridor quality varied over time, whereas elephant movement through some corridors appears to have become costlier over time. Our results suggest that, over the past two decades, functional connectivity across the surveyed landscape has largely persisted. Beyond providing crucial information for spatial prioritization of conservation actions, our approach highlights the importance of modeling functional connectivity over time and verifying corridor models with ground-truthed data.

Evaluating Formic Acid as a Behavioral Modifier in African Savanna Elephants

Formic acid was investigated as a potential repellant for African savanna elephants (Loxodonta africana) as a semiochemical option for managing elephant movements and interactions with human infrastructure. Formic acid is a naturally occurring compound, used as an alarm pheromone and as a defensive chemical in Formicine ants, and thus a potentially desirable option compared to introducing exogenous deterrents that are foreign to the elephants’ natural habitats. Although most elephants observed (85%) did not interact with treatments containing formic acid, of the cohort of individuals (n = 38) that did respond, the majority showed a mild to moderate avoidance response, while a small proportion of elephants were distinctly repelled when experiencing formic acid cues, in some cases causing whole herds to evacuate an area. The potential for using formic acid as an elephant repellant to modulate elephant behavior in field situations is discussed.

Understanding Elephant Movement Paths in a Fragmented Corridor Using Animal Energetics

Understanding Elephant Movement Paths in a Fragmented Corridor Using Animal Energetics

Flexible Modelling of Diel and Other Periodic Variation in Hidden Markov Models

Animal behaviour is often characterised by periodic patterns such as seasonality or diel variation. Such periodic variation can be comprehensively studied from the increasingly detailed ecological time series that are nowadays collected, e.g. using GPS tracking. Within the class of hidden Markov models (HMMs), which is a popular tool for modelling time series driven by underlying behavioural modes, periodic variation is commonly modelled by including trigonometric functions in the linear predictors for the state transition probabilities. This parametric modelling can be too inflexible to capture complex periodic patterns, e.g. featuring multiple activity peaks per day. Here, we explore an alternative approach using penalised splines to model periodic variation in the state-switching dynamics of HMMs. The challenge of estimating the corresponding complex models is substantially reduced by the expectation–maximisation algorithm, which allows us to make use of the existing machinery (and software) for nonparametric regression. The practicality and potential usefulness of our approach is demonstrated in two real-data applications, modelling the movements of African elephants and of common fruit flies.

Attitudes towards the Potential Use of Aversive Geofencing Devices to Manage Wild Elephant Movement.

Aversive geofencing devices (AGDs) or animal-borne satellite-linked shock collars might become a useful tool to mitigate human-elephant conflict (HEC). AGDs have the potential to condition problem elephants to avoid human-dominated landscapes by associating mild electric shocks with preceding audio warnings given as they approach virtual boundaries. We assessed the opinions of different stakeholders (experts, farmers, and others who have and have not experienced HEC; n = 611) on the potential use of AGDs on Asian elephants. Most respondents expressed positive opinions on the potential effectiveness of AGDs in managing elephant movement (62.2%). About 62.8% respondents also provided positive responses for the acceptability of AGDs if pilot studies with captive elephants have been successful in managing their movements. Some respondents perceived AGDs to be unacceptable because they are unethical or harmful and would be unsuccessful given wild elephants may respond differently to AGDs than captive elephants. Respondents identified acceptability, support and awareness of stakeholders, safety and wellbeing of elephants, logistical difficulties, durability and reliable functionality of AGDs, and uncertainties in elephants' responses to AGDs as potential challenges for implementing AGDs. These issues need attention when developing AGDs to increase support from stakeholders and to effectively reduce HEC incidents in the future.

Environmental factors induced crop raiding by wild Asian elephant (Elephas maximus) in the Eastern Economic Corridor, Thailand

Crop raiding are an increasing concern in wildlife conservation. This study identified the environmental factors that cause wild Asian elephants (Elephas maximus) to enter sub-urban and rural areas and share resources with humans in the Eastern Economic Corridor (EEC) in the eastern part of Thailand. The snowball method was used to interview villagers that had crop raiding experienced in seven provinces of the EEC and adjacent provinces in the eastern part of Thailand in 2020, and data from 183 households indicated that crop raiding had increased continuously from 2000 to 2020, especially in Chonburi, Chachoengsao, and Prachinburi provinces, which have seen increases in damaged agricultural areas. MaxEnt analysis showed an increase in incidents of crop raiding, while the elephants distribution area decreased from 9534 km2 in 2000 to 5199 km2 in 2010 and 4850 km2 in 2020. The study area has had land use changes in the low elevations from croplands of cassava and sugar cane to eucalyptus, para rubber, and fruits. These mixed crop plantations provide a pseudo-habitat for wild Asian elephants. The results from this study provide evidence that changes in land use and reduction of suitable habitat are factors that influenced the movement of wild Asian elephants to the rural agricultural areas and increased the incidents of crop raiding.

Climate Change and Anthropogenic Factors Are Influencing the Loss of Habitats and Emerging Human–Elephant Conflict in the Namib Desert

Climate change and anthropogenic factors’ impact on habitat loss is a growing problem that is influencing unsustainable wildlife local-population home range shifts and triggering an increase in human–wildlife conflict (HWC). Yet, keystone species involved in HWC such as elephants play a vital role in nature-based ecosystem services and have important economic and cultural value to the people that are living with them. To understand how climate change and anthropogenic factors affect habitat loss and elephants’ home range shift, the movement of Namib desert-dwelling elephants was monitored and observed in the Ugab River basin between February 2018 and November 2020 at fortnight intervals. There are 87 elephants in the Ugab River basin that are distributed into two subpopulations: desert-dwelling elephants (N = 28) and semi-desert-dwelling elephants (N = 59). To achieve the objective of the study, land cover change, elephant movement, rainfall, and temperature data were analysed using ArcGIS spatial and statistical tools, such as image analysis, optimised hot spot analysis (OHSA), and cost distance analysis, to distinguish habitat vegetation changes and home range shifts and how these link to emerging human–elephant conflict (HEC) hot spots. Human farming activities, poor rainfall, and frequent droughts are responsible for the loss of habitat of around 73.0% in the lower catchment of the ephemeral river streams; therefore, the urgency of conserving and sustaining these habitats and desert-dwelling elephants is discussed here.