8 results on '"Rogan, MS"'
Search Results
2. Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable
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Lukáš Gábor, Walter Jetz, Alejandra Zarzo‐Arias, Kevin Winner, Scott Yanco, Stefan Pinkert, Charles J. Marsh, Matthew S. Rogan, Jussi Mäkinen, Duccio Rocchini, Vojtěch Barták, Marco Malavasi, Petr Balej, Vítězslav Moudrý, Technology Agency of the Czech Republic, Gabor, L, Jetz, W, Zarzo-Arias, A, Winner, K, Yanco, S, Pinkert, S, Marsh, CJ, Rogan, MS, Makinen, J, Rocchini, D, Bartak, V, Malavasi, M, Balej, P, and Moudry, V
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Birds ,Species–environment relationship ,bird ,Niche models ,niche model ,species-environment relationship ,Ecological modeling ,Location error ,Ecology, Evolution, Behavior and Systematics - Abstract
Species distribution models (SDMs) have become a common tool in studies of species–environment relationships but can be negatively affected by positional uncertainty of underlying species occurrence data. Previous work has documented the effect of positional uncertainty on model predictive performance, but its consequences for inference about species–environment relationships remain largely unknown. Here we use over 12 000 combinations of virtual and real environmental variables and virtual species, as well as a real case study, to investigate how accurately SDMs can recover species–environment relationships after applying known positional errors to species occurrence data. We explored a range of environmental predictors with various spatial heterogeneity, species’ niche widths, sample sizes and magnitudes of positional error. Positional uncertainty decreased predictive model performance for all modeled scenarios. The absolute and relative importance of environmental predictors and the shape of species–environmental relationships co-varied with a level of positional uncertainty. These differences were much weaker than those observed for overall model performance, especially for homogenous predictor variables. This suggests that, at least for the example species and conditions analyzed, the negative consequences of positional uncertainty on model performance did not extend as strongly to the ecological interpretability of the models. Although the findings are encouraging for practitioners using SDMs to reveal generative mechanisms based on spatially uncertain data, they suggest greater consequences for applications utilizing distributions predicted from SDMs using positionally uncertain data, such as conservation prioritization and biodiversity monitoring., This research was funded by the Technological grant agency of the Czech Republic (grant no. SS02030018 DivLand) and by OP RDE Improvement in Quality of the Internal Grant Scheme at CZU, reg. no. CZ.02.2.69/0.0/0.0/19_073/0016944 (grant no. 43/2021). In addition, this paper was made possible by generous support from the Fulbright-Masaryk program sponsored by US and Czech governments, which provided Lukáš Gábor with the opportunity to conduct research at Yale University.
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- 2023
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3. A globally integrated structure of taxonomy to support biodiversity science and conservation.
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Sandall EL, Maureaud AA, Guralnick R, McGeoch MA, Sica YV, Rogan MS, Booher DB, Edwards R, Franz N, Ingenloff K, Lucas M, Marsh CJ, McGowan J, Pinkert S, Ranipeta A, Uetz P, Wieczorek J, and Jetz W
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- Conservation of Natural Resources, Biodiversity, Classification
- Abstract
All aspects of biodiversity research, from taxonomy to conservation, rely on data associated with species names. Effective integration of names across multiple fields is paramount and depends on the coordination and organization of taxonomic data. We assess current efforts and find that even key applications for well-studied taxa still lack commonality in taxonomic information required for integration. We identify essential taxonomic elements from our interoperability assessment to support improved access and integration of taxonomic data. A stronger focus on these elements has the potential to involve taxonomic communities in biodiversity science and overcome broken linkages currently limiting research capacity. We encourage a community effort to democratize taxonomic expertise and language in order to facilitate maximum interoperability and integration., Competing Interests: Declaration of interests No interests are declared., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2023
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4. A globally synthesised and flagged bee occurrence dataset and cleaning workflow.
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Dorey JB, Fischer EE, Chesshire PR, Nava-Bolaños A, O'Reilly RL, Bossert S, Collins SM, Lichtenberg EM, Tucker EM, Smith-Pardo A, Falcon-Brindis A, Guevara DA, Ribeiro B, de Pedro D, Pickering J, Hung KJ, Parys KA, McCabe LM, Rogan MS, Minckley RL, Velazco SJE, Griswold T, Zarrillo TA, Jetz W, Sica YV, Orr MC, Guzman LM, Ascher JS, Hughes AC, and Cobb NS
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- Animals, Publishing, Workflow, Bees
- Abstract
Species occurrence data are foundational for research, conservation, and science communication, but the limited availability and accessibility of reliable data represents a major obstacle, particularly for insects, which face mounting pressures. We present BeeBDC, a new R package, and a global bee occurrence dataset to address this issue. We combined >18.3 million bee occurrence records from multiple public repositories (GBIF, SCAN, iDigBio, USGS, ALA) and smaller datasets, then standardised, flagged, deduplicated, and cleaned the data using the reproducible BeeBDC R-workflow. Specifically, we harmonised species names (following established global taxonomy), country names, and collection dates and, we added record-level flags for a series of potential quality issues. These data are provided in two formats, "cleaned" and "flagged-but-uncleaned". The BeeBDC package with online documentation provides end users the ability to modify filtering parameters to address their research questions. By publishing reproducible R workflows and globally cleaned datasets, we can increase the accessibility and reliability of downstream analyses. This workflow can be implemented for other taxa to support research and conservation., (© 2023. The Author(s).)
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- 2023
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5. Camera trapping expands the view into global biodiversity and its change.
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Oliver RY, Iannarilli F, Ahumada J, Fegraus E, Flores N, Kays R, Birch T, Ranipeta A, Rogan MS, Sica YV, and Jetz W
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- Animals, Mammals, Birds, Knowledge, Biodiversity, Animals, Wild
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Growing threats to biodiversity demand timely, detailed information on species occurrence, diversity and abundance at large scales. Camera traps (CTs), combined with computer vision models, provide an efficient method to survey species of certain taxa with high spatio-temporal resolution. We test the potential of CTs to close biodiversity knowledge gaps by comparing CT records of terrestrial mammals and birds from the recently released Wildlife Insights platform to publicly available occurrences from many observation types in the Global Biodiversity Information Facility. In locations with CTs, we found they sampled a greater number of days (mean = 133 versus 57 days) and documented additional species (mean increase of 1% of expected mammals). For species with CT data, we found CTs provided novel documentation of their ranges (93% of mammals and 48% of birds). Countries with the largest boost in data coverage were in the historically underrepresented southern hemisphere. Although embargoes increase data providers' willingness to share data, they cause a lag in data availability. Our work shows that the continued collection and mobilization of CT data, especially when combined with data sharing that supports attribution and privacy, has the potential to offer a critical lens into biodiversity. This article is part of the theme issue 'Detecting and attributing the causes of biodiversity change: needs, gaps and solutions'.
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- 2023
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6. Anthropogenic activities and age class mediate carnivore habitat selection in a human-dominated landscape.
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Serieys LEK, Bishop JM, Rogan MS, Smith JA, Suraci JP, O'Riain MJ, and Wilmers CC
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Human activities increasingly challenge wild animal populations by disrupting ecological connectivity and population persistence. Yet, human-modified habitats can provide resources, resulting in selection of disturbed areas by generalist species. To investigate spatial and temporal responses of a generalist carnivore to human disturbance, we investigated habitat selection and diel activity patterns in caracals ( Caracal caracal ). We GPS-collared 25 adults and subadults in urban and wildland-dominated subregions in Cape Town, South Africa. Selection responses for landscape variables were dependent on subregion, animal age class, and diel period. Contrary to expectations, caracals did not become more nocturnal in urban areas. Caracals increased their selection for proximity to urban areas as the proportion of urban area increased. Differences in habitat selection between urban and wildland caracals suggest that individuals of this generalist species exhibit high behavioral flexibility in response to anthropogenic disturbances that emerge as a function of habitat context., Competing Interests: The authors declare no competing interests., (© 2023 The Author(s).)
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- 2023
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7. Troubled spots: Human impacts constrain the density of an apex predator inside protected areas.
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Rogan MS, Distiller G, Balme GA, Pitman RT, Mann GKH, Dubay SM, Whittington-Jones GM, Thomas LH, Broadfield J, Knutson T, and O'Riain MJ
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- Animals, Humans, Photography, Population Density, Anthropogenic Effects, Conservation of Natural Resources, Ecosystem, Panthera physiology
- Abstract
Effective conservation requires understanding the processes that determine population outcomes. Too often, we assume that protected areas conserve wild populations despite evidence that they frequently fail to do so. Without large-scale studies, however, we cannot determine what relationships are the product of localized conditions versus general patterns that inform conservation more broadly. Leopards' (Panthera pardus) basic ecology is well studied but little research has investigated anthropogenic effects on leopard density at broad scales. We investigated the drivers of leopard density among 27 diverse protected areas in northeastern South Africa to understand what conditions facilitate abundant populations. We formulated 10 working hypotheses that considered the relative influence of bottom-up biological factors and top-down anthropogenic factors on leopard density. Using camera-trap survey data, we fit a multi-session spatial capture-recapture model with inhomogenous density for each hypothesis and evaluated support using an information theoretic approach. The four supported hypotheses indicated that leopard density is primarily limited by human impacts, but that habitat suitability and management conditions also matter. The proportion of camera stations that recorded domestic animals, a proxy for the extent of human impacts and protected area effectiveness, was the only predictor variable present in all four supported models. Protected areas are the cornerstone of large felid conservation, but only when the human-wildlife interface is well managed and protected areas shelter wildlife populations from anthropogenic impacts. To ensure the long-term abundance of large carnivore populations, reserve managers should recognize the ineffectiveness of "paper parks" and promote contiguous networks of protected areas that offer leopards and other large mammal populations greater space and reduced human impacts., (© 2022 The Ecological Society of America.)
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- 2022
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8. Ecological opportunity drives individual dietary specialization in leopards.
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Balme GA, le Roex N, Rogan MS, and Hunter LTB
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- Animals, Diet, Female, Male, South Africa, Specialization, Ecosystem, Panthera
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Individual specialization, when individuals exploit only a subset of resources utilized by the population, is a widespread phenomenon. It provides the basis for evolutionary diversification and can impact population and community dynamics. Both phenotypic traits and environmental conditions are predicted to influence individual specialization; however, its adaptive consequences are poorly understood, particularly among large mammalian carnivores that play an important role in shaping ecosystems. We used observations of 2,960 kills made by 49 leopards Panthera pardus in the Sabi Sand Game Reserve, South Africa, to quantify the magnitude of individual dietary specialization in a solitary large carnivore, and to examine the proximate and ultimate drivers of this behaviour. We found evidence of individual specialization in leopard diet, with respect to both the species and size of prey killed. Males tended to be more specialized than females, likely because they could access a wider range of prey due to larger body size. Similarly, individuals that encountered a greater diversity of prey tended to be more specialized. Our results confirmed that ecological opportunity was a key determinant of individual specialization; however, contrary to predictions, per capita resource availability (and by extension, intraspecific competition) did not affect the degree of specialization exhibited by individuals. Surprisingly, dietary specialization appeared to disadvantage male leopards. Specialist males overlapped with fewer resident females, had fewer cubs born on their home ranges and had fewer cubs survive to independence on their home ranges than generalist males. This may have resulted from the high degree of environmental stochasticity experienced during our study, as dietary specialization is expected to advantage individuals more during periods of resource predictability. In summary, we showed that a species usually considered to be a dietary generalist was in fact a heterogeneous collection of specialist and generalist individuals. Individual specialization is typically assumed to be maintained by disruptive and/or fluctuating selection; hence, the somewhat paradoxical coexistence of both in the same population might be explained by a dynamic evolutionary equilibrium that exists between specialists and generalists, in which each benefit under different conditions., (© 2019 The Authors. Journal of Animal Ecology © 2019 British Ecological Society.)
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- 2020
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