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  • 1
    Online Resource
    Online Resource
    NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics
    Wiley ; 2020
    In:  Ecology Vol. 101, No. 11 ( 2020-11)
    Details
    In: Ecology, Wiley, Vol. 101, No. 11 ( 2020-11)
    Abstract: Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non‐detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non‐governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer‐reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non‐detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio‐temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large‐scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data.
    Type of Medium: Online Resource
    ISSN: 0012-9658 , 1939-9170
    URL: Issue
    URL: Article
    DOI: 10.1002/ecy.v101.11
    DOI: 10.1002/ecy.3128
    RVK:
    WA 15000
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1797-8
    detail.hit.zdb_id: 2010140-5
    SSG: 12
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Unveiling geographical gradients of species richness from scant occurrence data
    Wiley ; 2020
    In:  Global Ecology and Biogeography Vol. 29, No. 4 ( 2020-04), p. 748-759
    Details
    In: Global Ecology and Biogeography, Wiley, Vol. 29, No. 4 ( 2020-04), p. 748-759
    Abstract: Despite longstanding investigation, the gradients of species richness remain unknown for most taxa because of shortfalls in knowledge regarding the quantity and distribution of species. Here, we explore the ability of a geostatistical interpolation model, regression‐kriging, to recover geographical gradients of species richness. We examined the technique with an in silico gradient of species richness and evaluated the effect of different configurations of knowledge shortfalls. We also took the same approach for empirical data with large knowledge gaps, the infraorder Furnariides of suboscine birds. Innovation Regression‐kriging builds upon two cornerstones of geographical gradients of biodiversity, the spatial autocorrelation of species richness and the conspicuous association of species with environmental factors. With this technique, we recovered a simulated gradient of richness using 〈  0.01% of sampling sites across the region. The accuracy of the regression‐kriging is higher when input samples are more evenly distributed throughout the geographical space rather than the environmental space of the target region. Moreover, the accuracy of this method is more sensitive to the sufficiency of sampling effort within cells than to the quantity of sampled localities. For Furnariides birds, regression‐kriging provided a geographical gradient of species richness that resembles purported patterns of other groups and illustrated ubiquitous shortfalls of knowledge about bird diversity. Main conclusions Geostatistical interpolation, such as regression‐kriging, might be a useful tool to overcome shortfalls in knowledge that plague our understanding of geographical gradients of biodiversity, with many applications in ecology, palaeoecology and conservation.
    Type of Medium: Online Resource
    ISSN: 1466-822X , 1466-8238
    URL: Issue
    URL: Article
    DOI: 10.1111/geb.v29.4
    DOI: 10.1111/geb.13055
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1479787-2
    detail.hit.zdb_id: 2021283-5
    SSG: 12
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    ESTRUTURA ARBÓREA E SAZONALIDADE DA COBERTURA DO DOSSEL EM VEGETAÇÃO FLORESTADA E ABERTA NO PARQUE NACIONAL SERRA DE ITABAIANA, SERGIPE, BRASIL
    Universidade Federal de Santa Maria ; 2017
    In:  Ciência Florestal Vol. 27, No. 2 ( 2017-06-29), p. 719-729
    Details
    In: Ciência Florestal, Universidade Federal de Santa Maria, Vol. 27, No. 2 ( 2017-06-29), p. 719-729
    Abstract: As florestas de areias brancas quartzosas constituem um tipo de ecossistema oligotrófico, cujos caracteres fitofisionômicos são afetados pela sazonalidade climática. Entre tais características está a abertura do dossel, cujas variações influenciam na distribuição espacial da luz solar no ambiente. Este estudo avaliou e comparou a estrutura da vegetação e as alterações sazonais do dossel em habitat de areias brancas do Parque Nacional Serra de Itabaiana, Sergipe. Os dados foram coletados em dois ambientes: vegetação aberta de areias brancas strictu sensu (VA) e mata fechada de vegetação ripária (MR). Para estimar a densidade arbórea utilizou-se o método quadrante, no qual foram amostradas árvores com CAP ≥ 5 cm. Para avaliar a dinâmica do dossel foram estabelecidos, em cada área, dois transectos compostos por cinco pontos equidistantes 20 m, totalizando 10 pontos por ambiente. Em cada ponto foram obtidas fotografias hemisféricas do dossel nos meses de janeiro (seca) e junho (chuva). As imagens foram analisadas pelo software Gap Light Analyzer, sendo avaliadas as variáveis abertura do dossel e índice de área foliar (IAF). A vegetação ripária apresentou densidade arbórea de 498 ind ha-1 e a vegetação aberta 296 ind ha-1. Esta última, não evidenciou variações na abertura do dossel (t = 2,0146; p 〉 0,05) e no IAF (t = -2,0052; p 〉 0,05) entre os períodos de chuva (52,24% ± 18,13% e 0,68 ± 0,45) e seca (67,39% ± 15,38% e 0,36 ± 0,23). Na mata ripária, a abertura do dossel (t = 7,1739; p 〈 0,05) e o IAF (t = -5,1609; p 〈 0,05) variou entre os períodos de chuva (13,70% ± 2,24% e 2,13 ± 0,23) e seca (21,08% ± 2,36% e 1,63 ± 0,20). As diferenças observadas destacam a heterogeneidade ambiental na Serra de Itabaiana e demonstram que as formações florestais de areias bancas respondem de maneira distinta à sazonalidade hídrica deste ecossistema.  Por estar localizada em uma área de ecótono entre floresta perene e Floresta Estacional Semidecidual, a mata ripária tende a perder parte de suas folhas durante o período seco. Além disso, o padrão de distribuição das plantas pode contribuir para as diferenças entre os habitat estudados.
    Type of Medium: Online Resource
    ISSN: 1980-5098 , 0103-9954
    URL: Article
    DOI: 10.5902/1980509827757
    Language: Unknown
    Publisher: Universidade Federal de Santa Maria
    Publication Date: 2017
    detail.hit.zdb_id: 2194052-6
    SSG: 23
    Location Call Number Limitation Availability
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