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Ranc N, Cain JW, Cagnacci F, Moorcroft PR. The role of memory-based movements in the formation of animal home ranges. J Math Biol 2024; 88:59. [PMID: 38589609 DOI: 10.1007/s00285-024-02055-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 01/22/2024] [Accepted: 01/28/2024] [Indexed: 04/10/2024]
Abstract
Most animals live in spatially-constrained home ranges. The prevalence of this space-use pattern in nature suggests that general biological mechanisms are likely to be responsible for their occurrence. Individual-based models of animal movement in both theoretical and empirical settings have demonstrated that the revisitation of familiar areas through memory can lead to the formation of stable home ranges. Here, we formulate a deterministic, mechanistic home range model that includes the interplay between a bi-component memory and resource preference, and evaluate resulting patterns of space-use. We show that a bi-component memory process can lead to the formation of stable home ranges and control its size, with greater spatial memory capabilities being associated with larger home range size. The interplay between memory and resource preferences gives rise to a continuum of space-use patterns-from spatially-restricted movements into a home range that is influenced by local resource heterogeneity, to diffusive-like movements dependent on larger-scale resource distributions, such as in nomadism. Future work could take advantage of this model formulation to evaluate the role of memory in shaping individual performance in response to varying spatio-temporal resource patterns.
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Affiliation(s)
- Nathan Ranc
- Université de Toulouse, INRAE, CEFS, Castanet-Tolosan, France.
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, Italy.
| | - John W Cain
- Department of Mathematics, Harvard University, Cambridge, MA, USA
| | - Francesca Cagnacci
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Trento, Italy
- National Biodiversity Future Center, Palermo, Italy
| | - Paul R Moorcroft
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
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Zimmerman SJ, Aldridge CL, Schroeder MA, Fike JA, Cornman RS, Oyler-McCance SJ. The potential influence of genome-wide adaptive divergence on conservation translocation outcome in an isolated greater sage-grouse population. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024:e14254. [PMID: 38563102 DOI: 10.1111/cobi.14254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 12/20/2023] [Accepted: 01/20/2024] [Indexed: 04/04/2024]
Abstract
Conservation translocations are an important conservation tool commonly employed to augment declining or reestablish extirpated populations. One goal of augmentation is to increase genetic diversity and reduce the risk of inbreeding depression (i.e., genetic rescue). However, introducing individuals from significantly diverged populations risks disrupting coadapted traits and reducing local fitness (i.e., outbreeding depression). Genetic data are increasingly more accessible for wildlife species and can provide unique insight regarding the presence and retention of introduced genetic variation from augmentation as an indicator of effectiveness and adaptive similarity as an indicator of source and recipient population suitability. We used 2 genetic data sets to evaluate augmentation of isolated populations of greater sage-grouse (Centrocercus urophasianus) in the northwestern region of the species range (Washington, USA) and to retrospectively evaluate adaptive divergence among source and recipient populations. We developed 2 statistical models for microsatellite data to evaluate augmentation outcomes. We used one model to predict genetic diversity after augmentation and compared these predictions with observations of genetic change. We used the second model to quantify the amount of observed reproduction attributed to transplants (proof of population integration). We also characterized genome-wide adaptive divergence among source and recipient populations. Observed genetic diversity (HO = 0.65) was higher in the recipient population than predicted had no augmentation occurred (HO = 0.58) but less than what was predicted by our model (HO = 0.75). The amount of shared genetic variation between the 2 geographically isolated resident populations increased, which is evidence of periodic gene flow previously assumed to be rare. Among candidate adaptive genes associated with elevated fixation index (FST) (143 genes) or local environmental variables (97 and 157 genes for each genotype-environment association method, respectively), we found clusters of genes with related functions that may influence the ability of transplants to use local resources and navigate unfamiliar environments and their reproductive potential, all possible reasons for low genetic retention from augmentation.
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Affiliation(s)
- Shawna J Zimmerman
- Fort Collins Science Center, U.S. Geological Survey, Fort Collins, Colorado, USA
| | - Cameron L Aldridge
- Fort Collins Science Center, U.S. Geological Survey, Fort Collins, Colorado, USA
| | | | - Jennifer A Fike
- Fort Collins Science Center, U.S. Geological Survey, Fort Collins, Colorado, USA
| | - Robert Scott Cornman
- Fort Collins Science Center, U.S. Geological Survey, Fort Collins, Colorado, USA
| | - Sara J Oyler-McCance
- Fort Collins Science Center, U.S. Geological Survey, Fort Collins, Colorado, USA
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Bakner NW, Ulrey EE, Collier BA, Chamberlain MJ. Prospecting during egg laying informs incubation recess movements of eastern wild turkeys. MOVEMENT ECOLOGY 2024; 12:4. [PMID: 38229127 DOI: 10.1186/s40462-024-00451-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 01/08/2024] [Indexed: 01/18/2024]
Abstract
BACKGROUND Central place foragers must acquire resources and return to a central location after foraging bouts. During the egg laying (hereafter laying) period, females are constrained to a nest location, thus they must familiarize themselves with resources available within their incubation ranges after nest site selection. Use of prospecting behaviors by individuals to obtain knowledge and identify profitable (e.g., resource rich) locations on the landscape can impact demographic outcomes. As such, prospecting has been used to evaluate nest site quality both before and during the reproductive period for a variety of species. METHODS Using GPS data collected from female eastern wild turkeys (Meleagris gallopavo silvestris) across the southeastern United States, we evaluated if prospecting behaviors were occurring during laying and what landcover factors influenced prospecting. Specifically, we quantified areas prospected during the laying period using a cluster analysis and the return frequency (e.g., recess movements) to clustered laying patches (150-m diameter buffer around a clustered laying period location) during the incubation period. RESULTS The average proportion of recess movements to prospected locations was 56.9%. Nest fate was positively influenced (μ of posterior distribution with 95% credible 0.19, 0.06-0.37, probability of direction = 99.8%) by the number of patches (90-m diameter buffer around a clustered laying period location) a female visited during incubation recesses. Females selected for areas closer to the nest site, secondary roads, hardwood forest, mixed pine-hardwood forest, water, and shrub/scrub, whereas they avoided pine forest and open-treeless areas. CONCLUSIONS Our findings suggest that having a diverse suite of clustered laying patches to support incubation recesses is impactful to nest fate. As such, local conditions within prospected locations during incubation may be key to successful reproductive output by wild turkeys. We suggest that prospecting could be important to other phenological periods. Furthermore, future research should evaluate how prospecting for brood-rearing locations may occur before or during the incubation period.
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Affiliation(s)
- Nicholas W Bakner
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, 30602, USA.
| | - Erin E Ulrey
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, 30602, USA
| | - Bret A Collier
- School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA, 70803, USA
| | - Michael J Chamberlain
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, 30602, USA
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Wooster EIF, Gaynor KM, Carthey AJR, Wallach AD, Stanton LA, Ramp D, Lundgren EJ. Animal cognition and culture mediate predator-prey interactions. Trends Ecol Evol 2024; 39:52-64. [PMID: 37839906 DOI: 10.1016/j.tree.2023.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/12/2023] [Accepted: 09/19/2023] [Indexed: 10/17/2023]
Abstract
Predator-prey ecology and the study of animal cognition and culture have emerged as independent disciplines. Research combining these disciplines suggests that both animal cognition and culture can shape the outcomes of predator-prey interactions and their influence on ecosystems. We review the growing body of work that weaves animal cognition or culture into predator-prey ecology, and argue that both cognition and culture are significant but poorly understood mechanisms mediating how predators structure ecosystems. We present a framework exploring how previous experiences with the predation process creates feedback loops that alter the predation sequence. Cognitive and cultural predator-prey ecology offers ecologists new lenses through which to understand species interactions, their ecological consequences, and novel methods to conserve wildlife in a changing world.
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Affiliation(s)
- Eamonn I F Wooster
- Gulbali Institute, School of Agricultural, Environmental, and Veterinary Sciences, Charles Sturt University, Albury, NSW, Australia.
| | - Kaitlyn M Gaynor
- Departments of Zoology and Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Alexandra J R Carthey
- School of Natural Sciences, Macquarie University, Macquarie Park, NSW 2113, Australia
| | - Arian D Wallach
- School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, Australia
| | - Lauren A Stanton
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, CA 94720-3114, USA
| | - Daniel Ramp
- Centre for Compassionate Conservation, TD School, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Erick J Lundgren
- School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, Australia; Centre for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus, Denmark; Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark
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Arnon E, Cain S, Uzan A, Nathan R, Spiegel O, Toledo S. Robust Time-of-Arrival Location Estimation Algorithms for Wildlife Tracking. SENSORS (BASEL, SWITZERLAND) 2023; 23:9460. [PMID: 38067834 PMCID: PMC10708621 DOI: 10.3390/s23239460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/30/2023] [Accepted: 11/22/2023] [Indexed: 12/18/2023]
Abstract
Time-of-arrival transmitter localization systems, which use measurements from an array of sensors to estimate the location of a radio or acoustic emitter, are now widely used for tracking wildlife. Outlier measurements can severely corrupt estimated locations. This article describes a new suite of location estimation algorithms for such systems. The new algorithms detect and discard outlier time-of-arrival observations, which can be caused by non-line-of-sight propagation, radio interference, clock glitches, or an overestimation of the signal-to-noise ratio. The new algorithms also detect cases in which two locations are equally consistent with measurements and can usually select the correct one. The new algorithms can also infer approximate altitude information from a digital elevation map to improve location estimates close to one of the sensors. Finally, the new algorithms approximate the covariance matrix of location estimates in a simpler and more reliable way than the baseline algorithm. Extensive testing on real-world data involving mobile transmitters attached to wild animals demonstrates the efficacy of the new algorithms. Performance testing also shows that the new algorithms are fast and that they can easily cope with high-throughput real-time loads.
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Affiliation(s)
- Eitam Arnon
- School of Zoology, Tel Aviv University, Tel Aviv 69978, Israel
| | - Shlomo Cain
- School of Zoology, Tel Aviv University, Tel Aviv 69978, Israel
| | - Assaf Uzan
- School of Zoology, Tel Aviv University, Tel Aviv 69978, Israel
| | - Ran Nathan
- The Alexander Silberman Institute of Life Science, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - Orr Spiegel
- School of Zoology, Tel Aviv University, Tel Aviv 69978, Israel
| | - Sivan Toledo
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel
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Albert G, Gauzens B, Ryser R, Thébault E, Wang S, Brose U. Animal and plant space-use drive plant diversity-productivity relationships. Ecol Lett 2023; 26:1792-1802. [PMID: 37553981 DOI: 10.1111/ele.14295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 07/13/2023] [Accepted: 07/20/2023] [Indexed: 08/10/2023]
Abstract
Plant community productivity generally increases with biodiversity, but the strength of this relationship exhibits strong empirical variation. In meta-food-web simulations, we addressed if the spatial overlap in plants' resource access and animal space-use can explain such variability. We found that spatial overlap of plant resource access is a prerequisite for positive diversity-productivity relationships, but causes exploitative competition that can lead to competitive exclusion. Space-use of herbivores causes apparent competition among plants, resulting in negative relationships. However, space-use of larger top predators integrates sub-food webs composed of smaller species, offsetting the negative effects of exploitative and apparent competition and leading to strongly positive diversity-productivity relationships. Overall, our results show that spatial overlap of plants' resource access and animal space-use can greatly alter the strength and sign of such relationships. In particular, the scaling of animal space-use effects opens new perspectives for linking landscape processes without effects on biodiversity to productivity patterns.
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Affiliation(s)
- Georg Albert
- EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
- Department of Forest Nature Conservation, University of Göttingen, Göttingen, Germany
| | - Benoit Gauzens
- EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
| | - Remo Ryser
- EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
| | - Elisa Thébault
- Sorbonne Université, CNRS, IRD, INRAE, Université Paris Est Créteil, Université Paris Cité, Institute of Ecology and Environmental Science (iEES), Paris, France
| | - Shaopeng Wang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Ulrich Brose
- EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
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Memory pays off. Nat Ecol Evol 2023; 7:316-317. [PMID: 36690731 DOI: 10.1038/s41559-022-01968-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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