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观测数据和标本数据中物种出现的空间、时间和环境模式对比。

Contrasting spatial, temporal and environmental patterns in observation and specimen based species occurrence data.

机构信息

Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology, Trondheim, Norway.

出版信息

PLoS One. 2018 Apr 26;13(4):e0196417. doi: 10.1371/journal.pone.0196417. eCollection 2018.

Abstract

Species occurrence data records the location and time of an encounter with a species, and is valuable for many aspects of ecological and evolutionary analyses. A key distinction within species occurrence data is between (1) collected and preserved specimens that can be taxonomically validated (i.e., natural history collections), and (2) observations, which are more error prone but richer in terms of number and spread of observations. In this study we analyse the distribution in temporal, spatial, taxonomic and environmental coverage of specimen- and observation based species occurrence data for land plants in Norway, a region with strong climatic and human population density gradients. Of 4.8 million species occurrence records, the majority (78%) were observations. However, there was a greater species richness in the specimen record (N = 4691) than in the observation record (N = 3193) and most species were recorded more as specimens than observations. Specimen data was on average older, and collected later during the year. Both record types were highly influenced by a small number of prolific contributors. The species most highly represented in the observation data set were widespread or invasive, while in the specimen records, taxonomically challenging species were overrepresented. Species occurrence records were unevenly spatially distributed. Both specimen and observation records were concentrated in regions of Norway with high human population density and with high temperatures and precipitation, but in different regions within Norway. Observation and specimen records thus differ in taxonomic, temporal, spatial and environmental coverage for a well-sampled group and study region, potentially influencing the ecological inferences made from studies utilizing species occurrence data. The distribution of observation data dominates the dataset, so inferences of species diversity and distributions do not correspond to the evolutionary or physiological knowledge of species, which is based on specimen data. We make recommendations for users of biodiversity data, and collectors to better exploit the complementary strengths of these distinct biodiversity data types.

摘要

物种出现数据记录了物种出现的地点和时间,对于生态和进化分析的许多方面都具有重要价值。物种出现数据的一个关键区别在于(1)可以进行分类验证的收集和保存的标本(即自然历史收藏),以及(2)观察,观察更容易出错,但在数量和观察范围上更为丰富。在这项研究中,我们分析了挪威土地植物标本和观察物种出现数据在时间、空间、分类和环境覆盖方面的分布情况,挪威具有强烈的气候和人口密度梯度。在 480 万条物种出现记录中,大多数(78%)是观察记录。然而,标本记录的物种丰富度(N=4691)高于观察记录(N=3193),而且大多数物种的记录更多的是标本而不是观察记录。标本数据的平均年龄较大,并且在一年中较晚的时间采集。这两种记录类型都受到少数高产贡献者的高度影响。在观察数据集中,物种的代表性最高的是分布广泛或入侵的物种,而在标本记录中,分类上具有挑战性的物种则占主导地位。物种出现记录在空间上分布不均。标本和观察记录都集中在挪威人口密度高、温度和降水高的地区,但在挪威不同地区。因此,观察和标本记录在分类、时间、空间和环境覆盖方面存在差异,这可能会影响利用物种出现数据进行研究的生态推断。观察数据的分布主导着数据集,因此对物种多样性和分布的推断与基于标本数据的物种进化或生理知识不一致。我们为生物多样性数据的用户和收集者提出了建议,以更好地利用这些不同生物多样性数据类型的互补优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d2/5919666/3a9ec035642a/pone.0196417.g001.jpg

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