Population Density Dynamics Research Articles

Modelling the emergence of cities andurban patterning using coupled integro-differential equations.

Human residential population distributions show patterns of higher density clustering around local services such as shops and places of employment, displaying characteristic length scales; Fourier transforms and spatial autocorrelation show the length scale between UK cities is around 45 km. We use integro-differential equations to model the spatio-temporal dynamics of population and service density under the assumption that they benefit from spatial proximity, captured via spatial weight kernels. The system tends towards a well-mixed homogeneous state or a spatial pattern. Linear stability analysis around the homogeneous steady state predicts a modelled length-scale consistent with that observed in the data. Moreover, we show that spatial instability occurs only for perturbations with a sufficiently long wavelength and only where there is a sufficiently strong dependence of service potential on population density. Within urban centres, competition for space may cause services and population to be out of phase with one another, occupying separate parcels of land. By introducing competition, along with a preference for population to be located near, but not too near, to high service density areas, secondary out-of-phase patterns occur within the model, at a higher density and with a shorter length scale than in phase patterning. Thus, we show that a small set of core behavioural ingredients can generate aggregations of populations and services, and pattern formation within cities, with length scales consistent with real-world data. The analysis and results are valid across a wide range of parameter values and functional forms in the model.

Changes in the Hippocampus of the Bank Vole Due to Population Density Dynamics

Changes in the Hippocampus of the Bank Vole Due to Population Density Dynamics

An integrated experimental and mathematical approach to inferring the role of food exploitation and interference interactions in shaping life history

Abstract Intraspecific interactions can occur through many ways but the mechanisms can be broadly categorized as food exploitation and interference interactions. Identifying how intraspecific interactions impact life history is crucial to accurately predict how population density and structure influence dynamics. However, disentangling the effects of interference interactions from exploitation using experiments is challenging for most biological systems. Here we propose an approach that combines experiments with modelling to infer the pathways of intraspecific interactions in a system. First, a consumer‐resource model is built without intraspecific interactions. Then, the model is parameterized by fitting it to life‐history data from a first experiment in which food abundance was varied. Next, hypothesized scenarios of intraspecific interactions are incorporated into the model which is then used to predict life histories with increasing competitor density. Lastly, model predictions are compared against data from a second experiment which raised groups of competitors of different densities. This comparison allows us to infer the role of interference and exploitation in shaping life history. We demonstrated the approach using the smaller tea tortrix Adoxophyes honmai across a range of temperature. We investigated five scenarios of interactions that included exploitation and three pathways for interference through some effects either on energetics to represent changes in ingestion or activity, or on mortality to model deadly interactions, or on mortality and ingestion to model cannibalism. Overall, intraspecific interactions in tea tortrix are best explained by a high level of deadly interactions along with some level of interference that acts on energy such as escaping and blocking access to food. Deadly interactions increase with temperature while interference that acts on energy is strongest close to the optimal temperature for reproduction. Interestingly, exploitation is more important than interference at low competitor density. The combination of mathematical modelling and experimentation allowed us to mechanistically characterize the intraspecific interactions in tea tortrix in a way that is readily incorporated into population‐level mathematical models. The primary value of this approach, however, is that it can be applied to a much wider range of taxa than is possible with pure experimental approaches. Read the free Plain Language Summary for this article on the Journal blog.

Состояние безоарового козла (Capra aegagrus Erxleben) и азиатского муфлона (Ovis gmelinii Blyth) в пределах регистрации леопарда (Panthera pardus L.) в Нахичевани (Азербайджан)

Census of the bezoar goat Capra aegagrus and Asiatic mouflon Ovis gmelinii populations was carried out in July and December 2018 in the Leopard’s Panthera pardus range in south-eastern part of Nakhchivan (Azerbaijan). Dynamics of numbers, population densities and distribution for both species is positive since 2006. Study results indicate that effective protection significantly improved status of the bezoar goat and mouflon, even under circumstances of intensive livestock grazing in habitats of wild ungulates. Reproduction and juvenile survival rates for both species were significantly lower than in other parts of their range and lower than in the same areas in 2012–2013, but the factor that might have caused this was not established. Low indices of reproduction and juvenile survival can hardly be caused by high population densities, press of predators, leopard in particular, and bad weather, and their reasons remain unknown.

Road-based line distance surveys overestimate densities of olive baboons.

Estimating population density and population dynamics is essential for understanding primate ecology and relies on robust methods. While distance sampling theory provides a robust framework for estimating animal abundance, implementing a constrained, non-systematic transect design could bias density estimates. Here, we assessed potential bias associated with line distance sampling surveys along roads based on a case study with olive baboons (Papio anubis) in Lake Manyara National Park (Tanzania). This was achieved by comparing density estimates of olive baboons derived from road transect surveys with density estimates derived from estimating the maximum number of social groups (via sleeping site counts) and multiplying this metric with the estimated average size of social groups. From 2011 to 2019, we counted olive baboons along road transects, estimated survey-specific densities in a distance sampling framework, and assessed temporal population trends. Based on the fitted half-normal detection function, the mean density was 132.5 baboons km-2 (95% CI: 110.4–159.2), however, detection models did not fit well due to heaping of sightings on and near the transects. Density estimates were associated with relatively wide confidence intervals that were mostly caused by encounter rate variance. Based on a generalized additive model, baboon densities were greater during the rainy seasons compared to the dry seasons but did not show marked annual trends. Compared to estimates derived from the alternative method (sleeping site survey), distance sampling along road transects overestimated the abundance of baboons more than threefold. Possibly, this overestimation was caused by the preferred use of roads by baboons. While being a frequently used technique (due to its relative ease of implementation compared to spatially randomized survey techniques), inferring population density of baboons (and possibly other species) based on road transects should be treated with caution. Beyond these methodological concerns and considering only the most conservative estimates, baboon densities in LMNP are among the highest across their geographic distribution range.

The dynamics of the bird population in the forest ecosystems of Eastern Siberia (South Baikal) under the conditions of the modern climate changes

The work was carried out on a key site with an area of more than 50 km2 on the right bank of the source of the Angara river (South Baikal) in 2010-2020 The studies were carried out in winter and summer periods, based on the standard technique used in Russia for these purposes. The studies fall on a period of strong warming close to the maximum, most likely a centuries-old climate cycle. It is shown that the dynamics of population density and species diversity of birds in the winter and summer seasons at this time are very different. The summer period is by wavelike (cyclical) changes characterized, without a pronounced trend. In winter, on the contrary, there is a well-pronounced trend towards a noticeable decrease in these indicators. The different responses of birds to climate changes are undoubtedly by the initial factors operating at their areas determined. In the summer period - the drying up of the territory of Central Asia and the resettlement of birds, especially waterfowl and waterfowl, to the northern borders of their areas. In the winter period - by situations in the optima of wintering habitats, which also shifted somewhat to the north (even in sedentary bird species). These materials indicate the strong impact of climate change on the environment.

Scenarios for development of the settlement systems of Siberia and Russian Far East until 2030

The subject of the study is the settlement systems of the Siberian and the Far East Federal Districts. This article considers the settlement system not only in the context of the spatial organization of society and the territorial organization of productive forces, but also as a derivative of the economic model of the State. Data on the dynamics of population size and density, migration indicators for the subjects of macroregions are presented, and regional types of settlement systems are structured. The importance of a qualitative change in the system of population placement in Siberia and the Far East for creating an internationally competitive network of settlements is emphasized. Within the frame of the main prospects for transformation of the Russian settlement system and its ordering there are considered perspective scenarios: "Priority" (active State regulation of settlement), "Progressive" (free self-organization of settlement) and "Inertial" (mixed transformation of settlement systems). In view of this, the typology of the "second" and "third" cities in the Siberian and Far East regions is given as a complex basis for spatial or supporting frameworks of settlement systems.

Population Density and Covid Spatial Dynamics: A Critical Assessment of Indian Districts

In this article, a critical assessment of urban density and Covid-19 incidences in Indian cities is explored. The top hundred Covid-19 reported districts are analysed. The ArcGIS 10.1 statistical tool Getis-Ord Gi* is used in the identification of statistically significant Covid-19 clusters across India. Attempts are made to empirically establish the correlation between the urban density, the number of reported cases, and their possible impact on health infrastructure in general and planning in specific. Based on the results from 164 out of 693 district datasets, analyses have shown high positive spatial autocorrelation, which is more than 24% of the districts analysed. Further, the results show that southern districts are more affected than the Central and northern districts of India. Although a positive association between reported cases and the urban density was found, in high-density urban areas, the relationship with infection rate varied, which should be looked at together with other variables such as people’s activities and behaviours.

Experiments on dialog models of prognosis of the population density of Globodera rostochiensis in soil at different types of crop rotation

On predictive dialogue models, computer experiments were carried out to obtain data on the dynamics of population density of golden potato nematode in the soil after growing susceptible potato varieties, globoder-resistant potato varieties and unaffected plants in a 10-field crop rotation. When carrying out computer experiments on the model for predicting the population density of golden potato nematode in the soil after growing globoder resistant potato varieties in a 10-field crop rotation, it was found that when growing these varieties, it will take 8-9 years to completely destroy golden potato nematode population in the soil under favorable or average long-term conditions growing potatoes and other crops. Under unfavorable growing conditions for agricultural crops and globoder resistant potato varieties, the larvae of the ZKN remain in the soil for more than 10 years. In addition to predicting the population density of golden potato nematode after growing unaffected crops and potato varieties of varying degrees of resistance to nematode Globodera rostochiensis, computer models make it possible to theoretically substantiate optimal fruit changes and crop rotations, which will make it possible to effectively clear fields from phytoparasite.

Food attractants for field population monitoring of Spodoptera exigua (Hübner)

Spodoptera exigua (Hübner) is an important agricultural pest with worldwide distribution. Monitoring the population dynamics of adults and predicting the occurrence of next generation are the basis of prevention and control. Insect attractants are based on preferences for foods or their volatiles and have great potential for pest monitoring and management. To evaluate the monitoring success of food attractants on S. exigua populations in the field, we first quantitatively analyzed the reproductive organ development of adults in a laboratory population. The ovarian development of females was divided into four stages. The length range of the testis major axis of males at different ages was established according to the principle of testis development. This allowed documentation of the reproductive status of adults trapped in the field. In 2019 and 2020, we used food attractant trapping combined with reproductive system examination to monitor the population dynamics and reproductive development of S. exigua adults in natural environment. The results showed obvious generational changes in the population density dynamics of males and females of S. exigua. During the two-year monitoring period, the ovarian development level and mating times of trapped females in the second generation increased at first and then decreased with time. The number of eggs within ovarioles trapped initially decreased and then increased over time. The ovarian development level and mating times of trapped females in the third-generation adults increased gradually over time, and the number of eggs in female ovarioles decreased gradually over time. The age of trapped males in the second generation initially increased and then decreased over time. The age of males in the third generation increased gradually over time. There were significant differences in the reproductive development of female and male moths trapped in different generations in 2019. This study showed that trapping using food attractants can monitor field population dynamics of S. exigua. Combined with examination of reproductive system anatomy, it can monitor the reproductive organ development, mating, and oviposition status of wild adults.

Nematode biphasic 'boom and bust' dynamics are dependent on host bacterial load while linking dauer and mouth-form polyphenisms.

Cross-kingdom interactions involve dynamic processes that shape terrestrial ecosystems and represent striking examples of co-evolution. The multifaceted relationships of entomopathogenic nematodes with their insect hosts and symbiotic bacteria are well-studied cases of co-evolution and pathogenicity. In contrast, microbial interactions in soil after the natural death of insects and other invertebrates are minimally understood. In particular, the turnover and succession of nematodes and bacteria during insect decay have not been well documented - although it represents a rich ecological niche with multiple species interactions. Here, we utilize developmentally plastic nematode Pristionchus pacificus and its associated scarab beetles as models. On La Réunion Island, we collected rhinoceros beetle Oryctes borbonicus, induced death, and placed carcasses in cages both on the island and in a mock-natural environment in the laboratory controlling for high spatial and temporal resolution. Investigating nematode population density and dispersal dynamics, we were able to connect two imperative plasticities, dauer and mouth form. We observed a biphasic 'boom and bust' dispersal dynamic of dauer larvae that corresponds to bacterial load on carcasses but not bacterial type. Strikingly, all post-dauer adults have the predatory mouth form, demonstrating novel intricate interactions on decaying insect hosts. Thus, ecologically relevant survival strategies incorporate critical plastic traits.

Impacts of changing urban land-use structure on sustainable city growth in China: A population-density dynamics perspective

The dynamics of urban population density (UPD) has attracted extensive attention from both policymakers and scholars because it can be used to indicate the sustainability of city growth. Substantial research considering urban areas as whole units has demonstrated a close relationship between urban land expansion and demographic urbanization. However, the impacts of the urban land-use structure (ULUS) on sustainable city growth from the perspective of UPD dynamics have largely been ignored. Based on the understanding of human–land interactions in the process of city evolution, we present a holistic theoretical framework for the impacts of changing ULUS on UPD dynamics. Taking 331 cities proper in China as the study objects, we found that the designation of urban land has mostly depended upon land substitution resulting from the high economic returns of land used for secondary and tertiary industries and residential purposes. This is induced by the increasing scarcity of urban land and people's primary requirements for the dwelling and employment functions of a city rather than its living-environment function. The results confirmed that the holistic theoretical framework is effective for understanding the impacts of changing ULUS on UPD dynamics, and that taking consideration of these impacts in the structural reform of urban land supply is significant for promoting sustainable city growth. This study also provides inspiration for understanding the uncertainties relating to sustainable city growth based on identification of city shrinkage and growth patterns. We discuss regionally differentiated policies relating to structural reform of urban land supply and strategies for coping with city shrinkage.

Transient inconsistency between population density and fisheries yields without bycatch species extinction.

Recent studies have demonstrated the great advantages of marine reserves in solving bycatch problems by maintaining the persistence (i.e., avoid extinction) of endangered species without sacrificing the fisheries yields of target species. However, transient phenomena rather than equilibrium states of population dynamics still require further research. Here, with a simple and general model, the transient dynamics of the target fish species are investigated under management which minimizes extinction risk of the bycatch species. An interesting finding is that fisheries yields can strongly fluctuate even if population density both inside and outside marine reserve only slightly varies (or vice versa), leading to transient inconsistency between the population densities and fisheries yields. This finding suggests that population density dynamics of the target fish species cannot be used to predict the transient phenomena of fisheries yields (or vice versa) in fisheries management. However, the unpredictability can be receded as the sensitivity analyses show that a large marine reserve size and low escapement rate can shorten the transient duration.

Spatial heterogeneity and temporal dynamics of mosquito population density and community structure in Hainan Island, China

BackgroundMosquitoes are vectors of many tropical diseases. Understanding the ecology of local mosquito vectors, such as species composition, distributions, population dynamics, and species diversity is important for designing the optimal strategy to control the mosquito-borne diseases.MethodsEntomological surveillance of adult mosquitoes was conducted in five sites representing different ecological settings across Hainan Island from January to December of 2018 using BG Sentinel (BGS) traps and Centers for Disease Prevention and Control (CDC) light traps. In each site, we selected three areas representing urban, suburban and rural settings. Eighteen trap-days were sampled in each setting at each site, and CDC light traps and BGS traps were setup simultaneously. Mosquito species composition, distribution, population dynamics, and species diversity were analyzed. Mosquito densities were compared between different study sites and between different settings.ResultsNine species of mosquitoes belonging to four genera were identified. Culex quinquefasciatus (80.8%), Armigeres subalbatus (13.0%) and Anopheles sinensis (3.1%) were the top three species collected by CDC light traps; Cx. quinquefasciatus (91.9%), Ae. albopictus (5.1%), and Ar. subalbatus (2.8%) were the top three species collected by BGS traps. Predominant species varied among study sites. The population dynamics of Ae. albopictus, An. sinensis and Cx. quinquefasciatus showed clear seasonal variation regardless of study sites with a varied peak season for different species. Mosquito abundance of all species showed significant differences among different study sites and among urban, suburban and rural areas. Danzhou had the highest mosquito biodiversity, with an α, β, and Gini-Simpson biodiversity index of 8, 1.13 and 0.42, respectively. BGS traps captured Aedes mosquito at a higher efficiency than CDC light traps, whereas CDC light traps captured significantly more Anopheles and Armigeres mosquitoes than BGS traps.ConclusionsMosquitoes were abundant on Hainan Island with clear seasonality and spatial heterogeneity. Population density, species composition, distribution, and species diversity were strongly affected by the natural environment. Different tools are required for the surveillance of different mosquito species.

Implementasi Perlindungan Hukum terhadap Pekerja Anak yang Mengalami Kekerasan menurut Undang-Undang Nomor 13 Tahun 2003 tentang Ketenagakerjaan (Studi Kasus Putusan Mahkamah Agung Nomor 294/PN.Tlg/2015)

Manpower is an important part of driving the wheels of national development. The number and composition of the workforce which always changes along with the dynamics of growth and population density results in an imbalance between the number of labor force and available job vacancies. This situation is presumed to not only give rise to higher unemployment, but also lead to increasingly severe poverty. Due to the lack of economic pressure, children are required to help their parents in order to increase family income in order to fulfill their daily needs. In this paper, the author focuses on the formulation of the problem, namely: 1. How is the implementation of legal protection for child workers who experience violence according to Law Number 13 of 2003 concerning Manpower? 2. What are the hindering factors regarding the implementation of legal protection for child workers who experience violence according to Law Number 13 Year 2003 concerning Manpower ?. This study aims to find out what factors hinder the implementation of legal protection for child workers who experience violence according to Law Number 13 of 2003 concerning Manpower, to determine how the implementation of legal protection for child workers who experience violence according to Law Number 13 of 2003 About Employment. Where the descriptive research method aims to solve problems through collecting, compiling, and analyzing data to get answers to the main problem. From the main problem formulation raised in this paper, the authors conclude, that the implementation of legal protection for child workers who experience violence according to Law Number 13 of 2003 concerning Manpower is less effective.

Dynamics of Population Density and Virulence Phenotype of the Soybean Cyst Nematode as Influenced by Resistance Source Sequence and Tillage.

The soybean cyst nematode (SCN), Heterodera glycines, is the most damaging pathogen of soybean. Use of resistant cultivars is an effective strategy to manage SCN, but it also selects for virulent populations over time. A 12-year field experiment was initiated in 2003 to study how tillage and 11 different sequences of four cultivars impact SCN population dynamics and virulence. An SCN-susceptible cultivar and three resistant cultivars (R1, R2, and R3 derived from cultivars PI 88788, Peking, and PI 437654, respectively) were used. Tillage had minimal effect on SCN population density. Compared with no till, conventional tillage resulted in a faster increase of SCN virulence to Peking when the SCN was selected by R2 and virulence to PI 88788 by R3. Among the three SCN-resistant cultivars, R1 supported the greatest population density, R2 supported intermediate population density, and R3 supported the least SCN population density. The SCN populations selected by R1 overcame the resistance in PI 88788 but not in Peking and PI 437654. R2 selected SCN populations that overcame the resistance in Peking but not in PI 88788 and PI 437654. In contrast, R3 selected SCN populations that overcame both PI 88788 and Peking sources of resistance. There was no increase of virulence to PI 437654 in any cultivar sequence. R1 in rotation with R2 or R3 had a negative effect on female index on Peking. Susceptible soybean reduced SCN virulence to Peking, indicating that there was fitness cost of the Peking virulent SCN type. These results suggest that rotation of Peking with PI 88788 is a good strategy for managing the SCN, and susceptible cultivar and no till may reduce SCN virulence selection pressure in some rotations.[Formula: see text] Copyright © 2020 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Heterogeneity in social network connections is density-dependent: implications for disease dynamics in a gregarious ungulate

Incorporating host behavioral variation into epidemiological models is important for predicting host-pathogen dynamics. Animals living at high densities or with many strong social connections are predicted to have greater risk of acquiring pathogens. Using social network analysis, we tested the hypothesis that variation in the strength of social connections would influence simulated elk (Cervus canadensis) pathogen dynamics. We quantified fine-scale social connections for captive elk at three experimentally manipulated densities and wild elk at two natural densities. We applied susceptible-infected epidemiological models to networks to infer the relationship between fine-scale host sociality and simulated pathogen dynamics. Networks were filtered based on four association thresholds to determine how variation in the strength of social connections influenced pathogen dynamics. Our simulations suggest that social behavior interacts with population density to predict pathogen dynamics, but this effect was sex-specific. For both males and females at higher density, elk had strong social connections, resulting in higher number of infected individuals. We observed differences in social connections across density, and these results translated to our simulations, which predicted density-dependent pathogen dynamics for captive and wild elk networks. Our results highlight host social behavior as a potential mechanism driving variation in the relationship between population density and pathogen dynamics. Elk are reservoir hosts for numerous emerging infectious diseases, and our models suggest that density-dependent host social behavior could influence pathogen dynamics in elk social networks. Animal population density can influence transmission of parasites and pathogens, but variation in social connections at different densities could impact this relationship. Using social network analysis and epidemiological simulations, we tested the hypothesis that density-dependent variation in social connections would influence pathogen dynamics using captive and free-ranging populations of elk (Cervus elaphus). For all elk groups, simulated number of infected individuals increased with social connectedness. In addition, our simulations suggest that social connectedness interacts with population density to predict number of infected individuals, but this effect was sex-specific. For males and females at high density, elk had strong social connections, resulting in more infected individuals; this relationship was linear for males and non-linear for females. Taken together, our results suggest fine-scale measures of social behavior vary with population density, a result which could have implications for pathogen dynamics.

Collisional radiative model in argon for laser-induced fast-ionization wave

A laser-induced fast-ionization wave (FIW) is the post laser-breakdown phenomenon observed when laser intensity is 1013 W m−2 in atmospheric pressure. Its propagation velocity exceeds 10 km s−1. The discharge structure has similarity with streamers and sprites. An earlier study demonstrated that the velocity of the FIW is proportional to the laser intensity. The electron temperature and density in the FIW were found using emission spectroscopy. In this study, a collisional–radiative model with 79 levels of atomic population was developed to investigate the dynamics of excitation population density and the neutral particle temperature in a FIW. Using the gas temperature-dependence of the depopulation frequency for energy level p = 5 (4s′[1/2]1), the reasonable neutral particle temperature at the front of FIW is obtained by comparing experimentally observed spectra in the fine structure of 4s–4p.

Numerical modeling and theoretical analysis of a nonlinear advection-reaction epidemic system

Background and objective: Epidemic models are used to describe the dynamics of population densities or population sizes under suitable physical conditions. In view that population densities and sizes cannot take on negative values, the positive character of those quantities is an important feature that must be taken into account both analytically and numerically. In particular, susceptible-infected-recovered (SIR) models must also take into account the positivity of the solutions. Unfortunately, many existing schemes to study SIR models do not take into account this relevant feature. As a consequence, the numerical solutions for these systems may exhibit the presence of negative population values. Nowadays, positivity (and, ultimately, boundedness) is an important characteristic sought for in numerical techniques to solve partial differential equations describing epidemic models. Method: In this work, we will develop and analyze a positivity-preserving nonstandard implicit finite-difference scheme to solve an advection-reaction nonlinear epidemic model. More concretely, this discrete model has been proposed to approximate consistently the solutions of a spatio-temporal nonlinear advective dynamical system arising in many infectious disease phenomena. Results: The proposed scheme is capable of guaranteeing the positivity of the approximations. Moreover, we show that the numerical scheme is consistent, stable and convergent. Additionally, our finite-difference method is capable of preserving the endemic and the disease-free equilibrium points. Moreover, we will establish that our methodology is stable in the sense of von Neumann. Conclusion: Comparisons with existing techniques show that the technique proposed in this work is a reliable and efficient structure-preserving numerical model. In summary, the present approach is a structure-preserving and efficient numerical technique which is easy to implement in any scientific language by any scientist with minimal knowledge on scientific programming.

Dynamics of a Diffusive Two-Prey-One-Predator Model with Nonlocal Intra-Specific Competition for Both the Prey Species

Investigation of interacting populations is an active area of research, and various modeling approaches have been adopted to describe their dynamics. Mathematical models of such interactions using differential equations are capable to mimic the stationary and oscillating (regular or irregular) population distributions. Recently, some researchers have paid their attention to explain the consequences of transient dynamics of population density (especially the long transients) and able to capture such behaviors with simple models. Existence of multiple stationary patches and settlement to a stable distribution after a long quasi-stable transient dynamics can be explained by spatiotemporal models with nonlocal interaction terms. However, the studies of such interesting phenomena for three interacting species are not abundant in literature. Motivated by these facts here we have considered a three species prey–predator model where the predator is generalist in nature as it survives on two prey species. Nonlocalities are introduced in the intra-specific competition terms for the two prey species in order to model the accessibility of nearby resources. Using linear analysis, we have derived the Turing instability conditions for both the spatiotemporal models with and without nonlocal interactions. Validation of such conditions indicates the possibility of existence of stationary spatially heterogeneous distributions for all the three species. Existence of long transient dynamics has been presented under certain parametric domain. Exhaustive numerical simulations reveal various scenarios of stabilization of population distribution due to the presence of nonlocal intra-specific competition for the two prey species. Chaotic oscillation exhibited by the temporal model is significantly suppressed when the populations are allowed to move over their habitat and prey species can access the nearby resources.