As the quality and quantity of natural habitats decrease, pressure increases to better understand species–habitat interactions and how animal communities respond to habitat changes. We assessed the relative importance of local habitat heterogeneity and productivity measures as predictors of avian species richness and compared these results to models for species of conservation concern (SCC). We derived three‐dimensional habitat heterogeneity and productivity measures from light detection and ranging data and hyperspectral imagery, and then used a Bayesian multi‐species hierarchical framework to model avian species richness and occupancy. We found both habitat heterogeneity and productivity were important factors for determining avian community richness. Three‐dimensional habitat heterogeneity and productivity metrics accurately predicted species richness at a local scale and were especially important to use within habitat guilds (i.e., alpha diversity). When scaling up to community richness across multiple habitat types (i.e., gamma diversity), two‐dimensional (surface level) productivity and heterogeneity metrics became important additions to the three‐dimensional metrics when estimating total avian richness. We also tested the utility of these metrics for predicting occupancy of SCC and compared community‐level relationships to species‐specific relationships. Species of conservation concern differed from the broader avian community with regard to local habitat heterogeneity and productivity measures. Species of conservation concern had different relationship habitat metrics than the greater avian community. Three‐dimensional measures of habitat heterogeneity and productivity predicted avian richness across the landscape, yet also highlighted the different habitat structure needs of SCC compared with the greater avian community.

中文翻译：

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估算鸟类物种丰富度和相关物种时当地栖息地异质性和生产力的价值

随着自然栖息地质量和数量的减少，压力越来越大，人们需要更好地了解物种与栖息地的相互作用以及动物群落对栖息地变化的反应。我们评估了当地栖息地异质性和生产力措施作为禽类物种丰富度预测指标的相对重要性，并将这些结果与保护关注物种模型（SCC）进行了比较。我们从光检测和测距数据以及高光谱图像中得出了三维生境异质性和生产力度量，然后使用贝叶斯多物种层次框架来模拟鸟类物种的丰富度和占有率。我们发现栖息地异质性和生产力都是决定鸟类群落丰富度的重要因素。三维生境异质性和生产率指标可以准确地预测本地范围内的物种丰富度，对于在生境协会中使用（即阿尔法多样性）尤其重要。当在多种生境类型（即伽马多样性）上扩大社区的丰富度时，二维（地表水平）生产力和异质性指标在估算总体禽类丰富度时成为了三维指标的重要补充。我们还测试了这些指标在预测SCC占用方面的效用，并将社区级别的关系与特定物种的关系进行了比较。在当地栖息地异质性和生产力措施方面，对保护的关注物种与广泛的鸟类社区不同。具有保护意义的物种与大鸟类群落的关系生境指标不同。栖息地异质性和生产力的三维测量预测了整个景观中鸟类的丰富性，但同时也凸显了SCC与更大的鸟类群落相比不同的栖息地结构需求。