Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases.
Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases.
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DOI：
10.1038/srep31153
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发表时间：
2016-08-11
影响因子：
4.6
通讯作者：
Purvis A
中科院分区：
文献类型：
--
作者：
De Palma A;Abrahamczyk S;Aizen MA;Albrecht M;Basset Y;Bates A;Blake RJ;Boutin C;Bugter R;Connop S;Cruz-López L;Cunningham SA;Darvill B;Diekötter T;Dorn S;Downing N;Entling MH;Farwig N;Felicioli A;Fonte SJ;Fowler R;Franzén M;Goulson D;Grass I;Hanley ME;Hendrix SD;Herrmann F;Herzog F;Holzschuh A;Jauker B;Kessler M;Knight ME;Kruess A;Lavelle P;Le Féon V;Lentini P;Malone LA;Marshall J;Pachón EM;McFrederick QS;Morales CL;Mudri-Stojnic S;Nates-Parra G;Nilsson SG;Öckinger E;Osgathorpe L;Parra-H A;Peres CA;Persson AS;Petanidou T;Poveda K;Power EF;Quaranta M;Quintero C;Rader R;Richards MH;Roulston T;Rousseau L;Sadler JP;Samnegård U;Schellhorn NA;Schüepp C;Schweiger O;Smith-Pardo AH;Steffan-Dewenter I;Stout JC;Tonietto RK;Tscharntke T;Tylianakis JM;Verboven HA;Vergara CH;Verhulst J;Westphal C;Yoon HJ;Purvis A
土地使用的变化和集约化威胁着全球蜜蜂种群，危及授粉服务。需要全球模型来更好地评估、预测和减轻蜜蜂对这些人类影响的反应。然而，现有的数据在地理和分类学上不具代表性;大多数数据来自北美和西欧，对熊蜂的代表性过高，并引起了人们对模型结果可能无法推广到其他区域和分类群的担忧。为了评估数据的地理和分类偏差是否会破坏保护政策模型的有效性，我们从已发表的文献中整理了面临土地利用变化和集约化的全球蜜蜂多样性数据集，并评估蜜蜂对这些压力的反应是否在11个地区有所不同（西欧、北方、东欧和南欧;北美洲、中美洲和南美洲;澳大利亚和新西兰;东南亚;非洲中部和南部）以及熊蜂和其他蜜蜂之间的差异。我们的分析突出了强大的区域为基础的总丰度，物种丰富度和辛普森的多样性，土地利用，物种的敏感性和潜在的威胁性质的变化所造成的反应。这些结果表明，基于地理和分类限制数据的全球模型外推可能会低估真正的不确定性，增加生态意外的风险。
Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.