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Gaynor KM, Abrahms B, Manlove KR, Oestreich WK, Smith JA. Anthropogenic impacts at the interface of animal spatial and social behaviour. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220527. [PMID: 39230457 PMCID: PMC11449167 DOI: 10.1098/rstb.2022.0527] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 04/15/2024] [Accepted: 04/25/2024] [Indexed: 09/05/2024] Open
Abstract
Human disturbance is contributing to widespread, global changes in the distributions and densities of wild animals. These anthropogenic impacts on wildlife arise from multiple bottom-up and top-down pathways, including habitat loss, resource provisioning, climate change, pollution, infrastructure development, hunting and our direct presence. Animal behaviour is an important mechanism linking these disturbances to population outcomes, although these behavioural pathways are often complex and can remain obscured when different aspects of behaviour are studied in isolation from one another. The spatial-social interface provides a lens for understanding how an animal's spatial and social environments interact to determine its spatial and social phenotype (i.e. measurable characteristics of an individual), and how these phenotypes interact and feed back to reshape environments. Here, we review studies of animal behaviour at the spatial-social interface to understand and predict how human disturbance affects animal movement, distribution and intraspecific interactions, with consequences for the conservation of populations and ecosystems. By understanding the spatial-social mechanisms linking human disturbance to conservation outcomes, we can better design management interventions to mitigate undesired consequences of disturbance.This article is part of the theme issue 'The spatial-social interface: a theoretical and empirical integration'.
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Affiliation(s)
- Kaitlyn M Gaynor
- Departments of Zoology and Botany, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Briana Abrahms
- Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, WA 98195, USA
| | - Kezia R Manlove
- Department of Wildland Resources, Utah State University, Logan, UT 84322, USA
| | | | - Justine A Smith
- Department of Wildlife Fish, and Conservation Biology, University of California Davis, Davis, CA 95616, USA
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2
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Delisle ZJ, Sample RD, Caudell JN, Swihart RK. Deer activity levels and patterns vary along gradients of food availability and anthropogenic development. Sci Rep 2024; 14:10223. [PMID: 38702359 PMCID: PMC11068751 DOI: 10.1038/s41598-024-60079-6] [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: 10/16/2023] [Accepted: 04/18/2024] [Indexed: 05/06/2024] Open
Abstract
Animal activity reflects behavioral decisions that depend upon environmental context. Prior studies typically estimated activity distributions within few areas, which has limited quantitative assessment of activity changes across environmental gradients. We examined relationships between two response variables, activity level (fraction of each day spent active) and pattern (distribution of activity across a diel cycle) of white-tailed deer (Odocoileus virginianus), with four predictors-deer density, anthropogenic development, and food availability from woody twigs and agriculture. We estimated activity levels and patterns with cameras in 48 different 10.36-km2 landscapes across three larger regions. Activity levels increased with greater building density, likely due to heightened anthropogenic disturbance, but did not vary with food availability. In contrast, activity patterns responded to an interaction between twigs and agriculture, consistent with a functional response in habitat use. When agricultural land was limited, greater woody twig density was associated with reduced activity during night and evening. When agricultural land was plentiful, greater woody twig density was associated with more pronounced activity during night and evening. The region with the highest activity level also experienced the most deer-vehicle collisions. We highlight how studies of spatial variation in activity expand ecological insights on context-dependent constraints that affect wildlife behavior.
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Affiliation(s)
- Zackary J Delisle
- Indiana Department of Natural Resources, Bloomington, IN, 47401, USA.
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA.
- Arctic Inventory and Monitoring Network, National Park Service, AK, 99709, Fairbanks, USA.
| | - Richard D Sample
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA
- Brownstown Ranger District, Hoosier National Forest, Bedford, IN, 47421, USA
| | - Joe N Caudell
- Indiana Department of Natural Resources, Bloomington, IN, 47401, USA
| | - Robert K Swihart
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA
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3
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Mas-Carrió E, Churski M, Kuijper D, Fumagalli L. Niche overlap across landscape variability in summer between two large herbivores using eDNA metabarcoding. PLoS One 2024; 19:e0279672. [PMID: 38349911 PMCID: PMC10863879 DOI: 10.1371/journal.pone.0279672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
Understanding the relationship between a species feeding strategy and its environment (trophic ecology) is critical to assess environmental requirements and improve management policies. However, measuring trophic interactions remains challenging. Among the available methods, quantifying the plant composition of a species' diet indicates how species use their environment and their associated niche overlap. Nevertheless, most studies focusing on herbivore trophic ecology ignore the influence that landscape variability may have. Here, we explored how landscape variability influences diet composition through niche overlap. We used eDNA metabarcoding to quantify the diet composition of two large herbivores of the Bialowieza Forest, red deer (Cervus elaphus) and European bison (Bison bonasus) to investigate how increasing habitat quality (i.e. higher abundance of deciduous forage species) and predation risk (i.e. density of wolf in the area) influence their diet composition and niche partitioning. Our findings indicate diet composition is non-homogeneous across the landscape, both within and between species. Red deer showed greater diet variability and lower niche overlap within species compared to bison. We detected a reduction of niche overlap for red deer with increasing predation risk, leading to more dissimilar diets, suggesting their feeding behaviour is affected by wolf presence. This correlation was not found for bison, which are rarely predated by wolf. Higher habitat quality was associated with higher niche overlap only within bison, probably due to their suboptimal feeding strategy as browsers. These results show the importance of integrating environment-induced diet variation in studies aimed at determining the landscape usage or niche overlap of a species.
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Affiliation(s)
- Eduard Mas-Carrió
- Department of Ecology and Evolution, Laboratory for Conservation Biology, Biophore, University of Lausanne, Lausanne, Switzerland
| | - Marcin Churski
- Mammal Research institute, Polish Academy of Sciences, Białowieża, Poland
| | - Dries Kuijper
- Mammal Research institute, Polish Academy of Sciences, Białowieża, Poland
| | - Luca Fumagalli
- Department of Ecology and Evolution, Laboratory for Conservation Biology, Biophore, University of Lausanne, Lausanne, Switzerland
- Swiss Human Institute of Forensic Taphonomy, University Centre of Legal Medicine Lausanne-Geneva, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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4
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Xu C, Silliman BR, Chen J, Li X, Thomsen MS, Zhang Q, Lee J, Lefcheck JS, Daleo P, Hughes BB, Jones HP, Wang R, Wang S, Smith CS, Xi X, Altieri AH, van de Koppel J, Palmer TM, Liu L, Wu J, Li B, He Q. Herbivory limits success of vegetation restoration globally. Science 2023; 382:589-594. [PMID: 37917679 DOI: 10.1126/science.add2814] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/21/2023] [Indexed: 11/04/2023]
Abstract
Restoring vegetation in degraded ecosystems is an increasingly common practice for promoting biodiversity and ecological function, but successful implementation is hampered by an incomplete understanding of the processes that limit restoration success. By synthesizing terrestrial and aquatic studies globally (2594 experimental tests from 610 articles), we reveal substantial herbivore control of vegetation under restoration. Herbivores at restoration sites reduced vegetation abundance more strongly (by 89%, on average) than those at relatively undegraded sites and suppressed, rather than fostered, plant diversity. These effects were particularly pronounced in regions with higher temperatures and lower precipitation. Excluding targeted herbivores temporarily or introducing their predators improved restoration by magnitudes similar to or greater than those achieved by managing plant competition or facilitation. Thus, managing herbivory is a promising strategy for enhancing vegetation restoration efforts.
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Affiliation(s)
- Changlin Xu
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, School of Life Sciences, Fudan University, Shanghai, China
| | - Brian R Silliman
- Nicholas School of the Environment, Duke University, Beaufort, NC, USA
| | - Jianshe Chen
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, School of Life Sciences, Fudan University, Shanghai, China
| | - Xincheng Li
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, School of Life Sciences, Fudan University, Shanghai, China
| | - Mads S Thomsen
- Marine Ecology Research Group and Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
- Department of Bioscience, Aarhus University, Roskilde, Denmark
| | - Qun Zhang
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, School of Life Sciences, Fudan University, Shanghai, China
| | - Juhyung Lee
- Marine Science Center, Northeastern University, Nahant, MA, USA
- Department of Oceanography and Marine Research Institute, Pusan National University, Busan, Republic of Korea
| | - Jonathan S Lefcheck
- Tennenbaum Marine Observatories Network and MarineGEO Program, Smithsonian Environmental Research Center, Edgewater, MD, USA
- University of Maryland Center for Environmental Science, Cambridge, MD, USA
| | - Pedro Daleo
- Instituto de Investigaciones Marinas y Costeras (IIMyC), UNMdP, CONICETC, Mar del Plata, Argentina
| | - Brent B Hughes
- Department of Biology, Sonoma State University, Rohnert Park, CA, USA
| | - Holly P Jones
- Department of Biological Sciences and Institute for the Study of the Environment, Sustainability, and Energy, Northern Illinois University, DeKalb, IL, USA
| | - Rong Wang
- School of Ecological and Environmental Sciences, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, East China Normal University, Shanghai, China
| | - 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
| | - Carter S Smith
- Nicholas School of the Environment, Duke University, Beaufort, NC, USA
| | - Xinqiang Xi
- Department of Ecology, School of Life Science, Nanjing University, Nanjing, Jiangsu, China
| | - Andrew H Altieri
- Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL, USA
| | - Johan van de Koppel
- Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research, Yerseke, Netherlands
- Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
| | - Todd M Palmer
- Department of Biology, University of Florida, Gainesville, FL, USA
| | - Lingli Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Jihua Wu
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, and College of Ecology, Lanzhou University, Lanzhou, Gansu, China
| | - Bo Li
- Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, China
| | - Qiang He
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, School of Life Sciences, Fudan University, Shanghai, China
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5
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Walker RH, Hutchinson MC, Becker JA, Daskin JH, Gaynor KM, Palmer MS, Gonçalves DD, Stalmans ME, Denlinger J, Bouley P, Angela M, Paulo A, Potter AB, Arumoogum N, Parrini F, Marshal JP, Pringle RM, Long RA. Trait-based sensitivity of large mammals to a catastrophic tropical cyclone. Nature 2023; 623:757-764. [PMID: 37968390 DOI: 10.1038/s41586-023-06722-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 10/06/2023] [Indexed: 11/17/2023]
Abstract
Extreme weather events perturb ecosystems and increasingly threaten biodiversity1. Ecologists emphasize the need to forecast and mitigate the impacts of these events, which requires knowledge of how risk is distributed among species and environments. However, the scale and unpredictability of extreme events complicate risk assessment1-4-especially for large animals (megafauna), which are ecologically important and disproportionately threatened but are wide-ranging and difficult to monitor5. Traits such as body size, dispersal ability and habitat affiliation are hypothesized to determine the vulnerability of animals to natural hazards1,6,7. Yet it has rarely been possible to test these hypotheses or, more generally, to link the short-term and long-term ecological effects of weather-related disturbance8,9. Here we show how large herbivores and carnivores in Mozambique responded to Intense Tropical Cyclone Idai, the deadliest storm on record in Africa, across scales ranging from individual decisions in the hours after landfall to changes in community composition nearly 2 years later. Animals responded behaviourally to rising floodwaters by moving upslope and shifting their diets. Body size and habitat association independently predicted population-level impacts: five of the smallest and most lowland-affiliated herbivore species declined by an average of 28% in the 20 months after landfall, while four of the largest and most upland-affiliated species increased by an average of 26%. We attribute the sensitivity of small-bodied species to their limited mobility and physiological constraints, which restricted their ability to avoid the flood and endure subsequent reductions in the quantity and quality of food. Our results identify general traits that govern animal responses to severe weather, which may help to inform wildlife conservation in a volatile climate.
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Affiliation(s)
- Reena H Walker
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID, USA
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Matthew C Hutchinson
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Department of Life and Environmental Sciences, University of California Merced, Merced, CA, USA
| | - Justine A Becker
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Department of Ecology, Montana State University, Bozeman, MT, USA
| | - Joshua H Daskin
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
- Archbold Biological Station, Venus, FL, USA
| | - Kaitlyn M Gaynor
- Departments of Zoology and Botany, University of British Columbia, Vancouver, British Columbia, Canada
| | - Meredith S Palmer
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Dominique D Gonçalves
- Department of Scientific Services, Gorongosa National Park, Sofala, Mozambique
- Durrell Institute of Conservation and Ecology, University of Kent, Canterbury, UK
| | - Marc E Stalmans
- Department of Scientific Services, Gorongosa National Park, Sofala, Mozambique
| | - Jason Denlinger
- Department of Scientific Services, Gorongosa National Park, Sofala, Mozambique
| | - Paola Bouley
- Department of Conservation, Gorongosa National Park, Sofala, Mozambique
- Associação Azul Moçambique, Maputo, Mozambique
| | - Mercia Angela
- Department of Conservation, Gorongosa National Park, Sofala, Mozambique
| | - Antonio Paulo
- Department of Conservation, Gorongosa National Park, Sofala, Mozambique
| | - Arjun B Potter
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Wake Forest University, Winston-Salem, NC, USA
| | - Nikhail Arumoogum
- Centre for African Ecology, School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Francesca Parrini
- Centre for African Ecology, School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jason P Marshal
- Centre for African Ecology, School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Robert M Pringle
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
| | - Ryan A Long
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID, USA.
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6
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Pringle RM, Abraham JO, Anderson TM, Coverdale TC, Davies AB, Dutton CL, Gaylard A, Goheen JR, Holdo RM, Hutchinson MC, Kimuyu DM, Long RA, Subalusky AL, Veldhuis MP. Impacts of large herbivores on terrestrial ecosystems. Curr Biol 2023; 33:R584-R610. [PMID: 37279691 DOI: 10.1016/j.cub.2023.04.024] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Large herbivores play unique ecological roles and are disproportionately imperiled by human activity. As many wild populations dwindle towards extinction, and as interest grows in restoring lost biodiversity, research on large herbivores and their ecological impacts has intensified. Yet, results are often conflicting or contingent on local conditions, and new findings have challenged conventional wisdom, making it hard to discern general principles. Here, we review what is known about the ecosystem impacts of large herbivores globally, identify key uncertainties, and suggest priorities to guide research. Many findings are generalizable across ecosystems: large herbivores consistently exert top-down control of plant demography, species composition, and biomass, thereby suppressing fires and the abundance of smaller animals. Other general patterns do not have clearly defined impacts: large herbivores respond to predation risk but the strength of trophic cascades is variable; large herbivores move vast quantities of seeds and nutrients but with poorly understood effects on vegetation and biogeochemistry. Questions of the greatest relevance for conservation and management are among the least certain, including effects on carbon storage and other ecosystem functions and the ability to predict outcomes of extinctions and reintroductions. A unifying theme is the role of body size in regulating ecological impact. Small herbivores cannot fully substitute for large ones, and large-herbivore species are not functionally redundant - losing any, especially the largest, will alter net impact, helping to explain why livestock are poor surrogates for wild species. We advocate leveraging a broad spectrum of techniques to mechanistically explain how large-herbivore traits and environmental context interactively govern the ecological impacts of these animals.
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Affiliation(s)
- Robert M Pringle
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
| | - Joel O Abraham
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
| | - T Michael Anderson
- Department of Biology, Wake Forest University, Winston Salem, NC 27109, USA
| | - Tyler C Coverdale
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Andrew B Davies
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | | | | | - Jacob R Goheen
- Department of Zoology & Physiology, University of Wyoming, Laramie, WY 82072, USA
| | - Ricardo M Holdo
- Odum School of Ecology, University of Georgia, Athens, GA 30602, USA
| | - Matthew C Hutchinson
- Department of Life & Environmental Sciences, University of California Merced, Merced, CA 95343, USA
| | - Duncan M Kimuyu
- Department of Natural Resources, Karatina University, Karatina, Kenya
| | - Ryan A Long
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID 83844, USA
| | - Amanda L Subalusky
- Department of Biology, University of Florida, Gainesville, FL 32611, USA
| | - Michiel P Veldhuis
- Institute of Environmental Sciences, Leiden University, 2333 CC Leiden, The Netherlands
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7
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Arumoogum N, Marshal JP, Parrini F. Anthropogenically driven spatial niche partitioning in a large herbivore assemblage. Oecologia 2023; 201:797-812. [PMID: 36856880 PMCID: PMC10038942 DOI: 10.1007/s00442-023-05342-9] [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: 02/07/2022] [Accepted: 02/20/2023] [Indexed: 03/02/2023]
Abstract
Understanding how human activity can influence species distributions and spatial niche partitioning between sympatric species is a key area of contemporary ecology. Extirpations of large mammalian populations, the result of a 15-year civil war, within the Gorongosa National Park in Mozambique, have been followed by an extended period of restoration. The species-specific recovery of these populations has provided an ideal system to identify how niche partitioning between coexisting species is altered as a consequence of extreme disturbance events. Here, we aimed to understand how distribution patterns of grazing herbivores, as well as spatial niche overlap between them, changed between the pre- and post-war scenarios. We focused on the following four grazer species: buffalo (Syncerus caffer); sable (Hippotragus niger); waterbuck (Kobus ellipsiprymnus); and zebra (Equus quagga). Using long-term aerial survey data, we quantified range size for each species, as well as spatial niche overlap between each species pair, for pre- and post-war periods. Range size of buffalo and zebra decreased drastically from the pre-war period; with both species inhabiting subsets of their historical distribution in the park. Sable and waterbuck have both colonised historically avoided habitat, with waterbuck doubling their pre-war range size. Spatial overlap between all four grazers pre-war was significantly high, indicating niche similarity; however, this decreased in the post-war period, with some species pairs displaying spatial niche dissimilarity. Our findings highlight how population responses to anthropogenic disturbance can result in significant alterations to species' distributions, with consequences for patterns of niche similarity.
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Affiliation(s)
- Nikhail Arumoogum
- Centre for African Ecology, School of Animal, Plant, and Environmental Sciences, Biology Building, University of the Witwatersrand, 1 Jan Smuts Avenue, Johannesburg, 2050, South Africa.
| | - Jason P Marshal
- Centre for African Ecology, School of Animal, Plant, and Environmental Sciences, Biology Building, University of the Witwatersrand, 1 Jan Smuts Avenue, Johannesburg, 2050, South Africa
| | - Francesca Parrini
- Centre for African Ecology, School of Animal, Plant, and Environmental Sciences, Biology Building, University of the Witwatersrand, 1 Jan Smuts Avenue, Johannesburg, 2050, South Africa
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8
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Walker RH, Hutchinson MC, Potter AB, Becker JA, Long RA, Pringle RM. Mechanisms of individual variation in large herbivore diets: Roles of spatial heterogeneity and state-dependent foraging. Ecology 2023; 104:e3921. [PMID: 36415899 PMCID: PMC10078531 DOI: 10.1002/ecy.3921] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 11/24/2022]
Abstract
Many populations of consumers consist of relatively specialized individuals that eat only a subset of the foods consumed by the population at large. Although the ecological significance of individual-level diet variation is recognized, such variation is difficult to document, and its underlying mechanisms are poorly understood. Optimal foraging theory provides a useful framework for predicting how individuals might select different diets, positing that animals balance the "opportunity cost" of stopping to eat an available food item against the cost of searching for something more nutritious; diet composition should be contingent on the distribution of food, and individual foragers should be more selective when they have greater energy reserves to invest in searching for high-quality foods. We tested these predicted mechanisms of individual niche differentiation by quantifying environmental (resource heterogeneity) and organismal (nutritional condition) determinants of diet in a widespread browsing antelope (bushbuck, Tragelaphus sylvaticus) in an African floodplain-savanna ecosystem. We quantified individuals' realized dietary niches (taxonomic richness and composition) using DNA metabarcoding of fecal samples collected repeatedly from 15 GPS-collared animals (range 6-14 samples per individual, median 12). Bushbuck diets were structured by spatial heterogeneity and constrained by individual condition. We observed significant individual-level partitioning of food plants by bushbuck both within and between two adjacent habitat types (floodplain and woodland). Individuals with home ranges that were closer together and/or had similar vegetation structure (measured using LiDAR) ate more similar diets, supporting the prediction that heterogeneous resource distribution promotes individual differentiation. Individuals in good nutritional condition had significantly narrower diets (fewer plant taxa), searched their home ranges more intensively (intensity-of-use index), and had higher-quality diets (percent digestible protein) than those in poor condition, supporting the prediction that animals with greater endogenous reserves have narrower realized niches because they can invest more time in searching for nutritious foods. Our results support predictions from optimal foraging theory about the energetic basis of individual-level dietary variation and provide a potentially generalizable framework for understanding how individuals' realized niche width is governed by animal behavior and physiology in heterogeneous landscapes.
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Affiliation(s)
- Reena H Walker
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, Idaho, USA
| | - Matthew C Hutchinson
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA
| | - Arjun B Potter
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA
| | - Justine A Becker
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA.,Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, USA
| | - Ryan A Long
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, Idaho, USA
| | - Robert M Pringle
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA
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9
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Lüdecke T, Leichliter JN, Aldeias V, Bamford MK, Biro D, Braun DR, Capelli C, Cybulski JD, Duprey NN, Ferreira da Silva MJ, Foreman AD, Habermann JM, Haug GH, Martínez FI, Mathe J, Mulch A, Sigman DM, Vonhof H, Bobe R, Carvalho S, Martínez-García A. Carbon, nitrogen, and oxygen stable isotopes in modern tooth enamel: A case study from Gorongosa National Park, central Mozambique. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.958032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
The analyses of the stable isotope ratios of carbon (δ13C), nitrogen (δ15N), and oxygen (δ18O) in animal tissues are powerful tools for reconstructing the feeding behavior of individual animals and characterizing trophic interactions in food webs. Of these biomaterials, tooth enamel is the hardest, most mineralized vertebrate tissue and therefore least likely to be affected by chemical alteration (i.e., its isotopic composition can be preserved over millions of years), making it an important and widely available archive for biologists and paleontologists. Here, we present the first combined measurements of δ13C, δ15N, and δ18O in enamel from the teeth of modern fauna (herbivores, carnivores, and omnivores) from the well-studied ecosystem of Gorongosa National Park (GNP) in central Mozambique. We use two novel methods to produce high-precision stable isotope enamel data: (i) the “oxidation-denitrification method,” which permits the measurement of mineral-bound organic nitrogen in tooth enamel (δ15Nenamel), which until now, has not been possible due to enamel’s low organic content, and (ii) the “cold trap method,” which greatly reduces the sample size required for traditional measurements of inorganic δ13Cenamel and δ18Oenamel (from ≥0.5 to ≤0.1 mg), permitting analysis of small or valuable teeth and high-resolution serial sampling of enamel. The stable isotope results for GNP fauna reveal important ecological information about the trophic level, dietary niche, and resource consumption. δ15Nenamel values clearly differentiate trophic level (i.e., carnivore δ15Nenamel values are 4.0‰ higher, on average, than herbivores), δ13Cenamel values distinguish C3 and/or C4 biomass consumption, and δ18Oenamel values reflect local meteoric water (δ18Owater) in the park. Analysis of combined carbon, nitrogen, and oxygen stable isotope data permits geochemical separation of grazers, browsers, omnivores, and carnivores according to their isotopic niche, while mixed-feeding herbivores cannot be clearly distinguished from other dietary groups. These results confirm that combined C, N, and O isotope analyses of a single aliquot of tooth enamel can be used to reconstruct diet and trophic niches. Given its resistance to chemical alteration, the analysis of these three isotopes in tooth enamel has a high potential to open new avenues of research in (paleo)ecology and paleontology.
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10
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The generality of cryptic dietary niche differences in diverse large-herbivore assemblages. Proc Natl Acad Sci U S A 2022; 119:e2204400119. [PMID: 35994662 PMCID: PMC9436339 DOI: 10.1073/pnas.2204400119] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Ecological niche differences are necessary for stable species coexistence but are often difficult to discern. Models of dietary niche differentiation in large mammalian herbivores invoke the quality, quantity, and spatiotemporal distribution of plant tissues and growth forms but are agnostic toward food plant species identity. Empirical support for these models is variable, suggesting that additional mechanisms of resource partitioning may be important in sustaining large-herbivore diversity in African savannas. We used DNA metabarcoding to conduct a taxonomically explicit analysis of large-herbivore diets across southeastern Africa, analyzing ∼4,000 fecal samples of 30 species from 10 sites in seven countries over 6 y. We detected 893 food plant taxa from 124 families, but just two families-grasses and legumes-accounted for the majority of herbivore diets. Nonetheless, herbivore species almost invariably partitioned food plant taxa; diet composition differed significantly in 97% of pairwise comparisons between sympatric species, and dissimilarity was pronounced even between the strictest grazers (grass eaters), strictest browsers (nongrass eaters), and closest relatives at each site. Niche differentiation was weakest in an ecosystem recovering from catastrophic defaunation, indicating that food plant partitioning is driven by species interactions, and was stronger at low rainfall, as expected if interspecific competition is a predominant driver. Diets differed more between browsers than grazers, which predictably shaped community organization: Grazer-dominated trophic networks had higher nestedness and lower modularity. That dietary differentiation is structured along taxonomic lines complements prior work on how herbivores partition plant parts and patches and suggests that common mechanisms govern herbivore coexistence and community assembly in savannas.
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Daskin JH, Becker JA, Kartzinel TR, Potter AB, Walker RH, Eriksson FAA, Buoncore C, Getraer A, Long RA, Pringle RM. Allometry of behavior and niche differentiation among congeneric African antelopes. ECOL MONOGR 2022. [DOI: 10.1002/ecm.1549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Joshua H. Daskin
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
- Archbold Biological Station Venus FL USA
| | - Justine A. Becker
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
- Department of Zoology & Physiology University of Wyoming Laramie WY USA
| | - Tyler R. Kartzinel
- Department of Ecology & Evolutionary Biology Brown University Providence RI USA
| | - Arjun B. Potter
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
| | - Reena H. Walker
- Department of Fish and Wildlife Sciences University of Idaho Moscow ID USA
| | | | - Courtney Buoncore
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
| | - Alexander Getraer
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
| | - Ryan A. Long
- Department of Fish and Wildlife Sciences University of Idaho Moscow ID USA
| | - Robert M. Pringle
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
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Ayechew B, Tolcha A, Shibru S. Diet composition and diurnal activity pattern of defassa waterbuck (
Kobus ellipsiprymnus defassa
, Ruppell, 1835) in Maze National Park, Southern Ethiopia. Afr J Ecol 2022. [DOI: 10.1111/aje.13053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Belayneh Ayechew
- Department of Biology, College of Natural Sciences Arba Minch University Arba Minch Ethiopia
| | - Abraham Tolcha
- Biodiversity Research and Conservation Center Arba Minch University Arba Minch Ethiopia
| | - Simon Shibru
- Department of Biology, College of Natural Sciences Arba Minch University Arba Minch Ethiopia
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13
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Pirotta E, Booth CG, Calambokidis J, Costa DP, Fahlbusch JA, Friedlaender AS, Goldbogen JA, Harwood J, Hazen EL, New L, Santora JA, Watwood SL, Wertman C, Southall BL. From individual responses to population effects: Integrating a decade of multidisciplinary research on blue whales and sonar. Anim Conserv 2022. [DOI: 10.1111/acv.12785] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- E. Pirotta
- Centre for Research into Ecological and Environmental Modelling University of St Andrews St Andrews UK
- School of Biological, Earth and Environmental Sciences University College Cork Cork Ireland
- Department of Mathematics and Statistics Washington State University Vancouver WA USA
| | - C. G. Booth
- SMRU Consulting, Scottish Oceans Institute University of St Andrews St Andrews UK
| | | | - D. P. Costa
- Institute of Marine Sciences University of California Santa Cruz CA USA
- Department of Ecology and Evolutionary Biology University of California Santa Cruz CA USA
| | - J. A. Fahlbusch
- Cascadia Research Collective Olympia WA USA
- Department of Biology, Hopkins Marine Station Stanford University Pacific Grove CA USA
| | - A. S. Friedlaender
- Institute of Marine Sciences University of California Santa Cruz CA USA
- Southall Environmental Associates, Inc. Aptos CA USA
| | - J. A. Goldbogen
- Department of Biology, Hopkins Marine Station Stanford University Pacific Grove CA USA
| | - J. Harwood
- Centre for Research into Ecological and Environmental Modelling University of St Andrews St Andrews UK
- SMRU Consulting, Scottish Oceans Institute University of St Andrews St Andrews UK
| | - E. L. Hazen
- Department of Ecology and Evolutionary Biology University of California Santa Cruz CA USA
- Department of Biology, Hopkins Marine Station Stanford University Pacific Grove CA USA
- Southwest Fisheries Science Center Environmental Research Division, National Oceanic and Atmospheric Administration (NOAA) Monterey CA USA
| | - L. New
- Ursinus College Collegeville PA USA
| | - J. A. Santora
- Southwest Fisheries Science Center Fisheries Ecology Division, National Oceanic and Atmospheric Administration (NOAA) Santa Cruz CA USA
- Department of Applied Math University of California Santa Cruz Santa Cruz CA USA
| | - S. L. Watwood
- Ranges, Engineering and Analysis Department Naval Undersea Warfare Center Newport RI USA
| | - C. Wertman
- Ranges, Engineering and Analysis Department Naval Undersea Warfare Center Newport RI USA
| | - B. L. Southall
- Institute of Marine Sciences University of California Santa Cruz CA USA
- Southall Environmental Associates, Inc. Aptos CA USA
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14
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Becker JA, Hutchinson MC, Potter AB, Park S, Guyton JA, Abernathy K, Americo VF, Conceiçāo A, Kartzinel TR, Kuziel L, Leonard NE, Lorenzi E, Martins NC, Pansu J, Scott WL, Stahl MK, Torrens KR, Stalmans ME, Long RA, Pringle RM. Ecological and behavioral mechanisms of density‐dependent habitat expansion in a recovering African ungulate population. ECOL MONOGR 2021. [DOI: 10.1002/ecm.1476] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Justine A. Becker
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
- Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, 82072, USA
| | - Matthew C. Hutchinson
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Arjun B. Potter
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Shinkyu Park
- Department of Mechanical and Aerospace Engineering Princeton University Princeton New Jersey 08544 USA
| | - Jennifer A. Guyton
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Kyler Abernathy
- Exploration Technology Lab National Geographic Society Washington D.C. 20036 USA
| | - Victor F. Americo
- Department of Scientific Services Parque Nacional da Gorongosa Sofala Mozambique
| | - Anagledis Conceiçāo
- Department of Scientific Services Parque Nacional da Gorongosa Sofala Mozambique
| | - Tyler R. Kartzinel
- Department of Ecology and Evolutionary Biology Brown University Providence Rhode Island 02912 USA
- Institute at Brown for Environment and Society Brown University Providence Rhode Island 02912 USA
| | - Luca Kuziel
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Naomi E. Leonard
- Department of Mechanical and Aerospace Engineering Princeton University Princeton New Jersey 08544 USA
| | - Eli Lorenzi
- Department of Electrical and Computer Engineering University of Maryland College Park Maryland 20742 USA
| | - Nuno C. Martins
- Department of Electrical and Computer Engineering University of Maryland College Park Maryland 20742 USA
| | - Johan Pansu
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
- Station Biologique de Roscoff UMR 7144 CNRS‐Sorbonne Université Roscoff France
- CSIRO Ocean & Atmosphere Lucas Heights New South Wales Australia
| | - William L. Scott
- Department of Mechanical Engineering Bucknell University Lewisburg Pennsylvania 17837 USA
| | - Maria K. Stahl
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Kai R. Torrens
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Marc E. Stalmans
- Department of Scientific Services Parque Nacional da Gorongosa Sofala Mozambique
| | - Ryan A. Long
- Department of Fish and Wildlife Sciences University of Idaho Moscow Idaho 83844 USA
| | - Robert M. Pringle
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
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