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Guidelines for the use of spatially varying coefficients in species distribution modelsNARA Subscribed
Aim Species distribution models (SDMs) are increasingly applied across macroscales using detection‐nondetection data. These models typically assume that a single set of regression coefficients can adequately describe species–environment relationships and/or population trends. However, such relationships often show nonlinear and/or spatially varying patterns that arise from complex interactions with abiotic and biotic processes...
Joint species distribution models with imperfect detection for high‐dimensional spatial dataNARA Subscribed
Determining the spatial distributions of species and communities is a key task in ecology and conservation efforts. Joint species distribution models are a fundamental tool in community ecology that use multi‐species detection–nondetection data to estimate species distributions and biodiversity metrics. The analysis of such data is complicated by residual correlations between species, imperfect detection, and spatial autocorre...
Robust ecological forecasting of tree growth under future climate conditions is critical to anticipate future forest carbon storage and flux. Here, we apply three ingredients of ecological forecasting that are key to improving forecast skill: data fusion, confronting model predictions with new data, and partitioning forecast uncertainty. Specifically, we present the first fusion of tree‐ring and forest inventory data within a...
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...
Towards connecting biodiversity and geodiversity across scales with satellite remote sensingNARA Subscribed
Issue Geodiversity (i.e., the variation in Earth's abiotic processes and features) has strong effects on biodiversity patterns. However, major gaps remain in our understanding of how relationships between biodiversity and geodiversity vary over space and time. Biodiversity data are globally sparse and concentrated in particular regions. In contrast, many forms of geodiversity can be measured continuously across the globe with...
Seedling survival responses to conspecific density, soil nutrients, and irradiance vary with age in a tropical forestNARA Subscribed
Understanding processes that promote species coexistence is integral to diversity maintenance. In hyperdiverse tropical forests, local conspecific density ( LCD ) and light are influential to woody seedling recruitment and soil nutrients are often limiting, yet the simultaneous effects of these factors on seedling survival across time remain unknown. We fit species‐ and age‐specific models to census and resource data of seedli...
Predicting tree biomass growth in the temperate–boreal ecotone: Is tree size, age, competition, or climate response most important?NARA Subscribed
As global temperatures rise, variation in annual climate is also changing, with unknown consequences for forest biomes. Growing forests have the ability to capture atmospheric CO 2 and thereby slow rising CO 2 concentrations. Forests’ ongoing ability to sequester C depends on how tree communities respond to changes in climate variation. Much of what we know about tree and forest response to climate variation comes from tree‐ri...
Spatial scaling of temporal changes in avian communitiesNARA Subscribed
Aim Biodiversity patterns and the mechanisms driving these patterns are inherently scale dependent. Studies investigating biodiversity scaling have focused mostly on evaluating community turnover without taking into consideration its underlying processes of local extinction (hereafter, extinction) and colonization. Our goal was to evaluate the spatial scaling of change in avian assemblages through time and identify environment...
Forecasting the consequences of climate change is contingent upon our understanding of the relationship between biodiversity patterns and climatic variability. While the impacts of climate change on individual species have been well‐documented, there is a paucity of studies on climate‐mediated changes in community dynamics. Our objectives were to investigate the relationship between temporal turnover in avian biodiversity and...
Spatial regression methods capture prediction uncertainty in species distribution model projections through timeNARA Subscribed
Aim The uncertainty associated with species distribution model ( SDM ) projections is poorly characterized, despite its potential value to decision makers. Error estimates from most modelling techniques have been shown to be biased due to their failure to account for spatial autocorrelation ( SAC ) of residual error. Generalized linear mixed models ( GLMM ) have the ability to account for SAC through the inclusion of a spatial...