Science Enabled by Specimen Data

Dobson, R., A. J. Challinor, R. A. Cheke, S. Jennings, S. G. Willis, and M. Dallimer. 2023. dynamicSDM  : An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210x.14101

Species distribution models (SDM) are widely applied to understand changing species geographical distribution and abundance patterns. However, existing SDM tools are inherently static and inadequate for modelling species distributions that are driven by dynamic environmental conditions.dynamicSDM provides novel tools that explicitly consider the temporal dimension at key SDM stages, including functions for: (a) Cleaning and filtering species occurrence records by spatial and temporal qualities; (b) Generating pseudo‐absence records through space and time; (c) Extracting spatiotemporally buffered explanatory variables; (d) Fitting SDMs whilst accounting for temporal biases and autocorrelation and (e) Projecting intra‐ and inter‐ annual geographical distributions and abundances at high spatiotemporal resolution.Package functions have been designed to be: flexible for targeting specific study species; compatible with other SDM tools; and, by utilising Google Earth Engine and Google Drive, to have low computing power and storage needs. We illustrate dynamicSDM functions with an example of a nomadic bird in southern Africa, the red‐billed quelea Quelea quelea.As dynamicSDM functions are flexible and easily applied, we suggest that these tools could be readily applied to other taxa and systems globally.

Singh, P., S. Saran, and S. Kocaman. 2021. Role of Maximum Entropy and Citizen Science to Study Habitat Suitability of Jacobin Cuckoo in Different Climate Change Scenarios. ISPRS International Journal of Geo-Information 10: 463. https://doi.org/10.3390/ijgi10070463

Recent advancements in spatial modelling and mapping methods have opened up new horizons for monitoring the migration of bird species, which have been altered due to the climate change. The rise of citizen science has also aided the spatiotemporal data collection with associated attributes. The biod…

Miller, E. F., R. E. Green, A. Balmford, P. Maisano Delser, R. Beyer, M. Somveille, M. Leonardi, et al. 2021. Bayesian Skyline Plots disagree with range size changes based on Species Distribution Models for Holarctic birds. Molecular Ecology 30: 3993–4004. https://doi.org/10.1111/mec.16032

During the Quaternary, large climate oscillations impacted the distribution and demography of species globally. Two approaches have played a major role in reconstructing changes through time: Bayesian Skyline Plots (BSPs), which reconstruct population fluctuations based on genetic data, and Species …

Yun, S., J.-W. Lee, and J.-C. Yoo. 2020. Host-parasite interaction augments climate change effect in an avian brood parasite, the lesser cuckoo Cuculus poliocephalus. Global Ecology and Conservation 22: e00976. https://doi.org/10.1016/j.gecco.2020.e00976

Avian brood parasites such as Cuculus cuckoos are recognized to be affected more severely by the adverse effect of climate change owing to close host-parasite relationships. However, the spatial effect of climate change has rarely been assessed in the avian brood parasite-host system. To test this e…