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Beyond counts and averages: Relating geodiversity to dimensions of biodiversity
Global Ecology and Biogeography ( IF 6.4 ) Pub Date : 2020-01-23 , DOI: 10.1111/geb.13061
Quentin D. Read 1, 2, 3 , Phoebe L. Zarnetske 1, 2 , Sydne Record 4 , Kyla M. Dahlin 2, 5 , Jennifer K. Costanza 6 , Andrew O. Finley 7 , Keith D. Gaddis 8 , John M. Grady 1, 9 , Martina L. Hobi 10 , Andrew M. Latimer 11 , Sparkle L. Malone 12 , Scott V. Ollinger 13 , Stephanie Pau 14 , Adam M. Wilson 15
Affiliation  

Author(s): Read, QD; Zarnetske, PL; Record, S; Dahlin, KM; Costanza, JK; Finley, AO; Gaddis, KD; Grady, JM; Hobi, ML; Latimer, AM; Malone, SL; Ollinger, SV; Pau, S; Wilson, AM | Abstract: © 2020 John Wiley a Sons Ltd Aim: We may be able to buffer biodiversity against the effects of ongoing climate change by prioritizing the protection of habitat with diverse physical features (high geodiversity) associated with ecological and evolutionary mechanisms that maintain high biodiversity. Nonetheless, the relationships between biodiversity and habitat vary with spatial and biological context. In this study, we compare how well habitat geodiversity (spatial variation in abiotic processes and features) and climate explain biodiversity patterns of birds and trees. We also evaluate the consistency of biodiversity–geodiversity relationships across ecoregions. Location: Contiguous USA. Time period: 2007–2016. Taxa studied: Birds and trees. Methods: We quantified geodiversity with remotely sensed data and generated biodiversity maps from the Forest Inventory and Analysis and Breeding Bird Survey datasets. We fitted multivariate regressions to alpha, beta and gamma diversity, accounting for spatial autocorrelation among Nature Conservancy ecoregions and relationships among taxonomic, phylogenetic and functional biodiversity. We fitted models including climate alone (temperature and precipitation), geodiversity alone (topography, soil and geology) and climate plus geodiversity. Results: A combination of geodiversity and climate predictor variables fitted most forms of bird and tree biodiversity with l 10% relative error. Models using geodiversity and climate performed better for local (alpha) and regional (gamma) diversity than for turnover-based (beta) diversity. Among geodiversity predictors, variability of elevation fitted biodiversity best; interestingly, topographically diverse places tended to have higher tree diversity but lower bird diversity. Main conclusions: Although climatic predictors tended to have larger individual effects than geodiversity, adding geodiversity improved climate-only models of biodiversity. Geodiversity was correlated with biodiversity more consistently than with climate across ecoregions, but models tended to have a poor fit in ecoregions held out of the training dataset. Patterns of geodiversity could help to prioritize conservation efforts within ecoregions. However, we need to understand the underlying mechanisms more fully before we can build models transferable across ecoregions.

中文翻译:

超越计数和平均值:将地质多样性与生物多样性的维度联系起来

作者:阅读,QD;Zarnetske, PL; 记录; 达林,公里;科斯坦萨,JK;芬利,AO;加迪斯,KD;格雷迪,JM;霍比,ML;拉蒂默,上午;马龙,SL;奥林格,SV;保罗,S;威尔逊,上午 | 摘要:© 2020 John Wiley a Sons Ltd 目标:通过优先保护具有多种物理特征(高度地质多样性)的栖息地,与维持高度生物多样性的生态和进化机制相关,我们或许能够缓冲生物多样性以应对持续气候变化的影响。尽管如此,生物多样性和栖息地之间的关系因空间和生物环境而异。在这项研究中,我们比较了栖息地地理多样性(非生物过程和特征的空间变化)和气候如何解释鸟类和树木的生物多样性模式。我们还评估了生态区生物多样性-地理多样性关系的一致性。地点:美国本土。时间段:2007-2016。研究的分类群:鸟类和树木。方法:我们使用遥感数据量化地理多样性,并从森林清查和分析以及育种鸟类调查数据集生成生物多样性地图。我们将多元回归拟合到 alpha、beta 和 gamma 多样性,解释了大自然保护协会生态区之间的空间自相关以及分类、系统发育和功能生物多样性之间的关系。我们拟合的模型包括单独的气候(温度和降水)、单独的地质多样性(地形、土壤和地质)以及气候加地质多样性。结果:地理多样性和气候预测变量的组合适合大多数形式的鸟类和树木生物多样性,相对误差为 10%。使用地理多样性和气候的模型在本地 (alpha) 和区域 (gamma) 多样性方面的表现优于基于周转 (beta) 的多样性。在地质多样性预测因子中,海拔变化最适合生物多样性;有趣的是,地形多样的地方往往具有较高的树木多样性但较低的鸟类多样性。主要结论:尽管气候预测因子往往比地理多样性具有更大的个体影响,但添加地理多样性可以改善仅气候模型的生物多样性。与跨生态区的气候相比,地理多样性与生物多样性的相关性更一致,但模型往往不适用于训练数据集之外的生态区。地理多样性模式有助于优先考虑生态区内的保护工作。然而,
更新日期:2020-01-23
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