Dynamic sensitivity to resource availability influences population responses to mismatches in a shorebird ...

• Main Authors: Wilde, Luke, Simmons, Josiah, Swift, Rose, Senner, Nathan
• Format: Dataset
• Language: English
• Published: Dryad 2022
• Subjects: FOS Biological sciences; Arctic; Beluga; Beluga*; Climate change; Alaska
• Online Access: https://dx.doi.org/10.5061/dryad.x69p8czh0; https://datadryad.org/stash/dataset/doi:10.5061/dryad.x69p8czh0

Climate change has caused shifts in seasonally recurring biological events leading to the temporal decoupling of consumer-resource pairs – i.e., phenological mismatching. Although mismatches often affect individual fitness, they do not invariably scale up to affect populations, making it difficult to assess the risk they pose. Individual variation may contribute to this inconsistency, with changes in resource availability and consumer needs leading mismatches to have different outcomes over time. Nevertheless, most models estimate a consumer’s match from a single timepoint, potentially obscuring when mismatches matter to populations. We analyzed how the effects of mismatches varied over time by studying precocial Hudsonian godwit (Limosa haemastica) chicks and their invertebrate prey from 2009 to 2019. We developed individual and population level models to determine how age-specific variation affect the relationship between godwits and resource availability. We found that periods with abundant resources led ... : During 2009 – 2011, 2014 – 2016, and 2019, we monitored godwit chicks in two plots – North (550 Ha) and South (120 Ha) – near Beluga River, Alaska (61.21°N, 151.03°W). We followed radioed chicks until fledge, resighting every 2-3 days and capturing each week to measure mass through time. In all years (shortened seasons of 2012 and 2017), we collected invertebrates each day along two, 100-m transects of five traps within godwit breeding habitat according to the Arctic Shorebird Demographics Network Breeding Camp Protocol, Version 5. We recorded identified all adult invertebrates to taxonomic order, but excluded Collembola from analyses (see text for details). We measured body lengths in mm and converted these to order-specific dry-mass using published equations. We estimated three metrics from invertebrate sampling data: resource peak, resource abundnance, and median resource quality. Resource peak was where the first derivative of a quadratic curve fit to invertebrate biomass abundnance was 0 (absolute ...