Data from public and governmental databases show that a large proportion of the regional animal species pool occur in cities in Germany

Q2 Social Sciences
Fabio S. T. Sweet, Beate Apfelbeck, Maximilian Hanusch, Cynthia Garland Monteagudo, W. Weisser
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引用次数: 6

Abstract

Cities have been shown to be biodiverse, but it is unclear what fraction of a regional species pool can live within city borders and how this differs between taxa. Among animals, most research has focused on a few well-studied taxa, such as birds or butterflies. For other species, progress is limited by the paucity of data. We used species occurrence data for 11 taxa and 23 German cities from the Global Biodiversity Information Facility (GBIF) and the different German states, in a 50-km buffer around the city centre, to investigate what proportion of species of the regional species pools also occur in cities. While data could be obtained for all cities from GBIF, state databases only provided data for a subset of cities. Sample coverage of data from GBIF was higher across all taxa than of the state databases. For each database and taxon, we analysed (i) all cities where the number of occurrences of a taxon was >50 and (ii) only those cities where additionally sample coverage was >0.85. Across all taxa studied on average, 44.9 ± 7.2% (GBIF) and 40.8 ± 9.6% (German states) of the species of the regional species pool were also found in cities. When all cities were considered together, more than 76% of all species occurred within city borders. Our results show that German cities harbour a large part of the regional diversity of different taxa when city borders rather than the city centre is considered. This opens up ample opportunities for conservation and for fostering human–nature relationships.
来自公共和政府数据库的数据表明,区域动物物种池的很大一部分发生在德国的城市
城市已被证明具有生物多样性,但目前尚不清楚一个区域物种库中有多少可以生活在城市边界内,以及不同分类群之间的差异。在动物中,大多数研究都集中在一些研究得很好的分类群上,比如鸟类或蝴蝶。对于其他物种,由于缺乏数据,进展受到限制。利用全球生物多样性信息设施(GBIF)和德国不同州的11个分类群和23个德国城市的物种发生数据,在城市中心周围50公里的缓冲区内,研究了区域物种库中出现在城市中的物种比例。虽然GBIF可以获得所有城市的数据,但州数据库只提供了一部分城市的数据。所有分类群中GBIF数据的样本覆盖率都高于国家数据库。对于每个数据库和分类单元,我们分析了(i)所有出现一个分类单元数量为bb50的城市和(ii)只分析了额外样本覆盖率为>0.85的城市。在所有被研究的分类群中,城市在区域物种库中的分布比例分别为44.9±7.2% (GBIF)和40.8±9.6%(德国各州)。当把所有城市放在一起考虑时,超过76%的物种发生在城市边界内。我们的研究结果表明,当考虑城市边界而不是城市中心时,德国城市拥有很大一部分不同分类群的区域多样性。这为保护和培养人与自然的关系提供了充足的机会。
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来源期刊
Journal of Urban Ecology
Journal of Urban Ecology Social Sciences-Urban Studies
CiteScore
4.50
自引率
0.00%
发文量
14
审稿时长
15 weeks
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