Climate warming threatens the persistence of a community of disturbance‐adapted native annual plants

Abstract

D.F. (2021). Climate warming threatens the persistence of a community of disturbance-adapted native annual plants. Ecology (in press).This document describes the column headers in each of the three data files. See methods section in manuscript for complete details regarding the data. "GerminationSurvival.csv" Column Description species Abbreviations are the first three letters of the genus and the first three letters of the species (see Table 1 in manuscript). exp Experiment 1 (2010-2012) or 2 (2016-2018). year The growing season year based on the spring season (e.g., March-June 2010 = "2010"). site Experimental site. plot Plot. clm.trt Climate treatment. bms.trt Biomass removal treatment (half-plots in 2012 and 2017 = "removal" category; all others = "control"). disturb Disturbance category. Nseeded Number of seeds planted in the previous fall. Ngerm Number of seeds that germinated. Nnogerm Number of seeds that did not germinate. Nthinned Number of germinants that were thinned. Nflwr Number of germinants (minus thinned) that survived to reach flowering. Nnoflwr Number of germinants (minus thinned) that did not survive to flower. Pgerm Probability of germination (Ngerm/Nseeded). Psurv Probability of survival (Nflwr/(Nflwr + Nnoflwr)). Prec Probability of recruitment (Pgerm * Psurv). Nrec Number of recruits (Prec * Nseeded). Nnorec Number that did not recruit (Nseeded -Nrec).

Leaf traits predict water-use efficiency in U.S. Pacific Northwest grasslands under rain exclusion treatment

“…The study areas share a Mediterranean climate with increasingly hotter and drier summers from north to south, where we see an earlier onset of summer senescence, despite the southern site having the highest mean annual precipitation (Table 1). Each experimental site contained 20 plots: 10 had their species composition manipulated as part of separate phenology and demography experiments (Reed, Bridgham, et al, 2021; Reed et al, 2019), and 10 had their species composition unmanipulated and consisted primarily of the already established pasture grasses that dominated at each site prior to the experiment. The manipulated plots were mowed, raked, received herbicide, and seeded with a mix of 29 native prairie grass and forb species between 2014-2015, followed by repeated seeding with 14 native grasses and forbs in fall 2015, 2016, and 2017 (Reed et al, 2019), a process that is analogous to typical restoration efforts in the region.…”

“…Rainout shelters were 3.7 m x 3.7 m squares and stood 1.5 m above the vegetation plots, sloped to 1 m above the plot on the far side to promote drainage, providing ~30 cm buffer around the vegetation plots. Phenology and demography information from these experimental plots have been previously published in (Peterson et al, 2021; Reed, Bridgham, et al, 2021; Reed et al, 2019; Reed, Pfeifer-Meister, et al, 2021).…”

Plant functional types and tissue stoichiometry explain nutrient transfer in common arbuscular mycorrhizal networks of temperate grasslands

“…Rain exclusion only changed soil temperature at the northern site and soil matric potential at the central site (Dawson et al 2022). This network of experimental sites was established since 2010 and has been extensively studied since then (Reed et al 2019, 2021a, 2021b, 2021c, 2022, Peterson et al 2020) including work on mycorrhizal fungi (Vandegrift et al 2015. Treatment had marginal effects on the soil water potential, which should also affect nutrient uptake through mass flow.…”

Detecting climate signals in populations across life histories

“…Climate change is expected to have significant effects on biological populations (Mason et al, 2019 ). Many studies have assessed the influence of particular climate variables on demographic rates (e.g., survival) and population sizes (e.g., see review Gaillard et al, 2013 ; Jenouvrier, 2013 ; Reed et al, 2021 ). However, while the primacy of climate influence is commonly accepted, specific detection and attribution of population trends to anthropogenic changes in climate is complicated by substantial stochastic noise related to observation error (i.e., errors due to measurement imprecision) and process error in biological processes (i.e., unexplained variation in true abundance driven by unobserved biotic such as species interactions or abiotic processes such as habitat quality, resource variability, etc.…”