Alejandra Zubiria-Perez , Christopher Bone , Gordon Stenhouse
{"title":"Evaluating the role of environmental familiarity and behaviour in the success of wildlife translocation: A grizzly bear case study using agent-based modelling","authors":"Alejandra Zubiria-Perez , Christopher Bone , Gordon Stenhouse","doi":"10.1016/j.ecocom.2023.101042","DOIUrl":"https://doi.org/10.1016/j.ecocom.2023.101042","url":null,"abstract":"<div><p>Human-carnivore systems are built on multi-scalar complex processes often resulting in conflicts that force wildlife managers to address what are conceived as problem individuals. In North America, the grizzly bear (<em>Ursus arctos</em>) is often involved in human-bear conflict with management measures such as translocations, in which problem individuals are moved to new areas, being used to reduce conflict risk. While translocations offer a non-lethal alternative to managing conflict animals, they show varying levels of success. Our objective was to perform a novel assessment of grizzly bear translocation success through agent-based simulation by evaluating how familiarity with landscape features coupled with behavioral traits affects the way individuals use resources in a new environment. Our results showed that bears translocated to familiar habitat used high-quality habitat more than bears moved to areas with unfamiliar landscape characteristics. Increased exploration led to greater use of high-quality habitat in the long run but resulted in reduced use of high-quality habitat during the first two years following a translocation. Habitat quality use depended on scale, with bears translocated to less familiar environments accessing higher quality areas at a finer scale than bears translocated to familiar habitats. We emphasize the need to account for wildlife behavioral traits and habitat characteristics at multiple scales when selecting suitable translocation locations. Understanding the role of factors such as these on translocation outcome will help ensure the success of translocations not only as a method for managing problem wildlife, but also for population restoration, species reestablishment, and conservation translocations across the globe.</p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"53 ","pages":"Article 101042"},"PeriodicalIF":3.5,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49729072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bruno Travassos-Britto , Camila Hohlenwerger , José Miranda , Pedro Luís Bernardo da Rocha
{"title":"Quantity and quality of suitable matrices matter in reducing the negative effect of fragmentation","authors":"Bruno Travassos-Britto , Camila Hohlenwerger , José Miranda , Pedro Luís Bernardo da Rocha","doi":"10.1016/j.ecocom.2023.101040","DOIUrl":"https://doi.org/10.1016/j.ecocom.2023.101040","url":null,"abstract":"<div><p><span>The negative effect of fragmentation is one of the main concerns in the study of biodiversity loss in landscape ecology. The use of the matrix has been considered an important factor because it can change a population's relationship with the configuration of the landscape. A systematic way to assess the effect of matrix quality in fragmented landscapes could lead to a better understanding of how matrices can suppress the negative effect of fragmentation. We built a computational individual-based model capable of simulating bi-dimensional landscapes with three types of land cover (habitat, suitable matrix and hostile matrix) and individuals that inhabit those landscapes. We explored in which situations suitable matrix proportions and the degree of usability of this suitable matrix mitigate the negative effect of fragmentation </span><em>per se</em><span>. We observed that (i) an increase in the general matrix quality (increases in the suitable matrix proportion and/or usability) can suppress the fragmentation effect in 47% of the simulated scenarios; (ii) the less usable the matrix is, the more of it is needed to suppress the fragmentation effect; (iii) there is a level of usability below which increasing the suitable matrix proportion does cause the fragmentation effect to cease. These results point toward landscape management decisions that consider the similarity of the matrix to the native habitat under management. We suggest that an index to measure the usability of elements of the matrix could be an important tool for using computational models in landscape management more efficiently.</span></p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"53 ","pages":"Article 101040"},"PeriodicalIF":3.5,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49702056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elisa Thouverai, M. Marcantonio, J. Lenoir, Mariasole Galfré, Elisa Marchetto, G. Bacaro, R. Cazzolla Gatti, D. Da Re, M. Di Musciano, R. Furrer, M. Malavasi, Vítězslav Moudrý, J. Nowosad, F. Pedrotti, R. Pelorosso, G. Pezzi, P. Šímová, C. Ricotta, S. Silvestri, E. Tordoni, Michele Torresani, G. Vacchiano, Piero Zannini, D. Rocchini
{"title":"Integrals of life: Tracking ecosystem spatial heterogeneity from space through the area under the curve of the parametric Rao’s Q index","authors":"Elisa Thouverai, M. Marcantonio, J. Lenoir, Mariasole Galfré, Elisa Marchetto, G. Bacaro, R. Cazzolla Gatti, D. Da Re, M. Di Musciano, R. Furrer, M. Malavasi, Vítězslav Moudrý, J. Nowosad, F. Pedrotti, R. Pelorosso, G. Pezzi, P. Šímová, C. Ricotta, S. Silvestri, E. Tordoni, Michele Torresani, G. Vacchiano, Piero Zannini, D. Rocchini","doi":"10.1016/j.ecocom.2023.101029","DOIUrl":"https://doi.org/10.1016/j.ecocom.2023.101029","url":null,"abstract":"","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"13 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86355675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elisa Thouverai , Matteo Marcantonio , Jonathan Lenoir , Mariasole Galfré , Elisa Marchetto , Giovanni Bacaro , Roberto Cazzolla Gatti , Daniele Da Re , Michele Di Musciano , Reinhard Furrer , Marco Malavasi , Vítězslav Moudrý , Jakub Nowosad , Franco Pedrotti , Raffaele Pelorosso , Giovanna Pezzi , Petra Šímová , Carlo Ricotta , Sonia Silvestri , Enrico Tordoni , Duccio Rocchini
{"title":"Integrals of life: Tracking ecosystem spatial heterogeneity from space through the area under the curve of the parametric Rao’s Q index","authors":"Elisa Thouverai , Matteo Marcantonio , Jonathan Lenoir , Mariasole Galfré , Elisa Marchetto , Giovanni Bacaro , Roberto Cazzolla Gatti , Daniele Da Re , Michele Di Musciano , Reinhard Furrer , Marco Malavasi , Vítězslav Moudrý , Jakub Nowosad , Franco Pedrotti , Raffaele Pelorosso , Giovanna Pezzi , Petra Šímová , Carlo Ricotta , Sonia Silvestri , Enrico Tordoni , Duccio Rocchini","doi":"10.1016/j.ecocom.2023.101029","DOIUrl":"https://doi.org/10.1016/j.ecocom.2023.101029","url":null,"abstract":"<div><p>Spatio-ecological heterogeneity is strongly linked to many ecological processes and functions such as plant species diversity patterns and change, metapopulation dynamics, and gene flow. Remote sensing is particularly useful for measuring spatial heterogeneity of ecosystems over wide regions with repeated measurements in space and time. Besides, developing free and open source algorithms for ecological modelling from space is vital to allow to prove workflows of analysis reproducible. From this point of view, NASA developed programs like the Surface Biology and Geology (SBG) to support the development of algorithms for exploiting spaceborne remotely sensed data to provide a relatively fast but accurate estimate of ecological properties in vast areas over time. Most of the indices to measure heterogeneity from space are point descriptors : they catch only part of the whole heterogeneity spectrum. Under the SBG umbrella, in this paper we provide a new R function part of the <span>rasterdiv</span> R package which allows to calculate spatio-ecological heterogeneity and its variation over time by considering all its possible facets. The new function was tested on two different case studies, on multi- and hyperspectral images, proving to be an effective tool to measure heterogeneity and detect its changes over time.</p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"52 ","pages":"Article 101029"},"PeriodicalIF":3.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1476945X23000016/pdfft?md5=f094bcf8a5723542137596c52fce0d6e&pid=1-s2.0-S1476945X23000016-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91720141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating termite population size using spatial statistics for termite tunnel patterns","authors":"Seung Woo Sim , Sang-Hee Lee","doi":"10.1016/j.ecocom.2022.101025","DOIUrl":"10.1016/j.ecocom.2022.101025","url":null,"abstract":"<div><p>Subterranean termites build underground tunnels for foraging. The obtained food is transported to the nest through these tunnels, and consumed to maintain the termite colony. In this process, termites can cause damage to wooden structures. To develop effective control strategies to reduce termite damage, it is important to know the sizes of the termite populations in the tunnels. In this study, we proposed a method for estimating the termite population size using the spatial statistic indices including fractal dimension (FD), local density (LD), and join count statistic (JCS) for the tunnel patterns. However, the method needs further improvement to be applied in field conditions. For the method, we generated 8,000 tunnel pattern images (1,000 images for each <em>N</em>) using an agent-based model based on experimental data. Here, <em>N</em> (= 3, 4, ..., 10) represents the number of termites participating in tunnel construction in the simulation. Subsequently, we calculated the FD, LD and JCS values of the tunnel pattern and trained and verified the <em>k</em>-nearest neighbors (KNN) algorithm, using 5,600 and 2,400 images, respectively. The population size (<em>N</em>) was estimated based on the FD, LD and JCS using the KNN algorithm. The estimated accuracy for all <em>N</em> was 60% to 97% in the range of <em>k</em> = 1 to 300. If the model for tunnel pattern generation includes heterogeneous environmental conditions, the proposed method could be used to effectively estimate the actual number of termite populations. Finally, we briefly discuss the challenges affecting our model, and how these could be overcome.</p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"52 ","pages":"Article 101025"},"PeriodicalIF":3.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90523144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mobility unevenness in rock–paper–scissors models","authors":"J. Menezes , S. Rodrigues , S. Batista","doi":"10.1016/j.ecocom.2022.101028","DOIUrl":"https://doi.org/10.1016/j.ecocom.2022.101028","url":null,"abstract":"<div><p>We investigate a tritrophic system whose cyclic dominance is modelled by the rock–paper–scissors game. We consider that organisms of one or two species are affected by movement limitations, which unbalances the cyclic spatial game. Performing stochastic simulations, we show that mobility unevenness controls the population dynamics. In the case of one slow species, the predominant species depends on the level of mobility restriction, with the slow species being preponderant if the mobility limitations are substantial. If two species face mobility limitations, our outcomes show that being higher dispersive does not constitute an advantage in terms of population growth. On the contrary, if organisms move with higher mobility, they expose themselves to enemies more frequently, being more vulnerable to being eliminated. Finally, our findings show that biodiversity benefits in regions where species are slowed. Biodiversity loss for high mobility organisms, common to cyclic systems, may be avoided with coexistence probability being higher for robust mobility limitations. Our results may help biologists understand the dynamics of unbalanced spatial systems where organisms’ dispersal is fundamental to biodiversity conservation.</p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"52 ","pages":"Article 101028"},"PeriodicalIF":3.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91677513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Toan D. Ha , Vyacheslav G. Tsybulin , Pavel A. Zelenchuk
{"title":"How to model the local interaction in the predator–prey system at slow diffusion in a heterogeneous environment?","authors":"Toan D. Ha , Vyacheslav G. Tsybulin , Pavel A. Zelenchuk","doi":"10.1016/j.ecocom.2022.101026","DOIUrl":"10.1016/j.ecocom.2022.101026","url":null,"abstract":"<div><p>We examine the nonlinear reaction–diffusion–advection equations to modeling of the predator–prey system under heterogeneous carrying capacity of the prey, and Holling type II functional response. When advection and diffusion fluxes are absent or small, we detect the discrepancy between the resource (carrying capacity) and species distributions. The large diffusion eliminates this effect. We propose a modification of the functional response coefficients to provide the correlation between species distribution and resource in both cases. The numerical simulation of several models both under small and moderate advection–diffusion fluxes is carried out.</p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"52 ","pages":"Article 101026"},"PeriodicalIF":3.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78624368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Scaling from optimal behavior to population dynamics and ecosystem function","authors":"Emil F. Frølich, U. H. Thygesen, K. H. Andersen","doi":"10.1016/j.ecocom.2022.101027","DOIUrl":"https://doi.org/10.1016/j.ecocom.2022.101027","url":null,"abstract":"","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"44 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76699160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emil F. Frølich , Uffe H. Thygesen , Ken H. Andersen
{"title":"Scaling from optimal behavior to population dynamics and ecosystem function","authors":"Emil F. Frølich , Uffe H. Thygesen , Ken H. Andersen","doi":"10.1016/j.ecocom.2022.101027","DOIUrl":"https://doi.org/10.1016/j.ecocom.2022.101027","url":null,"abstract":"<div><p>While behavioral responses of individual organisms can be predicted with optimal foraging theory, the theory of how individual behavior feeds back to population and ecosystem dynamics has not been fully explored. Ecological models of trophic interactions incorporating behavior of entire populations commonly assume either that populations act as one when making decisions, that behavior is slowly varying or that non-linear effects are negligible in behavioral choices at the population scale. Here, we scale from individual optimal behavior to ecosystem structure in a classic tri-trophic chain where both prey and predators adapt their behavior in response to food availability and predation risk. Behavior is modeled as playing the field, with both consumers and predators behaving optimally at every instant basing their choices on the average population behavior. We establish uniqueness of the Nash equilibrium, and find it numerically. By modeling the interactions as playing the field, we can perform instantaneous optimization at the individual level while taking the entire population into account. We find that optimal behavior essentially removes the effect of top-down forcing at the population level, while drastically changing the behavior. Bottom-up forcing is found to increase populations at all trophic levels. These phenomena both appear to be driven by an emerging constant consumption rate, corresponding to a partial satiation. In addition, we find that a Type III functional response arises from a Type II response for both predators and consumers when their behavior follows the Nash equilibrium, showing that this is a general phenomenon. Our approach is general and computationally efficient and can be used to account for behavior in population dynamics with fast behavioral responses.</p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"52 ","pages":"Article 101027"},"PeriodicalIF":3.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1476945X22000472/pdfft?md5=9fd0319dccb1a0e792c7334d89ae6f41&pid=1-s2.0-S1476945X22000472-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90014203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pedro H.T. Schimit , Fábio H. Pereira , Mark Broom
{"title":"Good predictors for the fixation probability on complex networks of multi-player games using territorial interactions","authors":"Pedro H.T. Schimit , Fábio H. Pereira , Mark Broom","doi":"10.1016/j.ecocom.2022.101017","DOIUrl":"10.1016/j.ecocom.2022.101017","url":null,"abstract":"<div><p>In 2012 Broom and Rychtar developed a new framework to consider the evolution of a population over a non-homogeneous underlying structure, where fitness depends upon multiplayer interactions amongst the individuals within the population played in groups of various sizes (including one). This included the independent model, and as a special case the territorial raider model, which has been considered in a series of subsequent papers. Here individuals are based upon the vertex of a graph but move to interact with their neighbours, sometimes meeting in large groups. The most important single property of such populations is the fixation probability, the probability of a single mutant completely replacing the existing population. In a recent paper we considered the fixation probability for the Birth Death Birth (BDB) dynamics for three games, a Public Goods game, the Hawk–Dove game and for fixed fitnesses for a large number of randomly generated graphs, in particular seeing if important underlying graph properties could be used as predictors. We found two good predictors, temperature and mean group size, but some interesting and unusual features for one type of graph, Barabasi–Albert graphs. In this paper we use a regression analysis to investigate (the usual) three alternative evolutionary dynamics (BDD, DBB, DBD) in addition to the original BDB. In particular, we find that the dynamics split into two pairs, BDB/DBD and BDD/DBB, each of which give essentially the same results and found a good fit to the data using a quadratic regression involving the above two variables. Further we find that temperature is the most important predictor for the Hawk–Dove game, whilst for the Public Goods game the group size also plays a key role, and is more important than the temperature for the BDD/DBB dynamics.</p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"51 ","pages":"Article 101017"},"PeriodicalIF":3.5,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85410151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}