Toby M. Maxwell’s research while affiliated with Boise State University and other places

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Publications (6)


Simplified depiction of the replicated common garden experiment (a) and graphical representation of testing the roles of phenological sensitivities to current climate (orange) and source climate (blue) (b). (a) Genotypes of Bromus tectorum were collected across western North America and, after a generation in the greenhouse, were planted in a replicated common garden experiment. In each common garden, we manipulated soil surface temperature using two different colored gravel coverings (black = warmer, white = cooler) and intraspecific densities, factorially. The common garden experiment was replicated in four locations across Idaho (ID) and Wyoming (WY), USA that varied in their regional climatic conditions. (b) Hypothetical illustration of flowering phenology being more sensitive to current climate (i.e., evidence for plasticity) than to source climate (i.e., evidence for local adaptation).
Climatic characterization of Bromus tectorum genotype source collection sites (n = 92) and common garden sites (n = 4). (a) Genotype source locations colored by their value along the principal component (PC) 1 climate axis, where high values of PC 1 = hot and dry, and low levels of PC 1 = cool and wet. Common garden sites are denoted as unfilled, larger shapes. (b) Genotype source locations colored by their value along the PC 2 climate axis, where high values of PC 2 = more pronounced temperature seasonality, and lower values of PC 2 = less pronounced seasonality. (c) Common garden sites classified by their longitude (x‐axis), elevation (y‐axis), value along the PC 1 axis (outer color) and PC 2 axis (inner color). Genotype source locations are overlaid as small gray points. BA, Baltzor; CH, Cheyenne; SS, Sheep Station; WI, Wildcat.
(a) Date of Bromus tectorum first flowering at each common garden site. Black horizontal lines with error bars represent model predicted means and 95% credible intervals, respectively. Colored points in background represent the raw data. (b) Date of first flowering for plants on high‐temperature (black gravel) and low‐temperature (white gravel) treatments (top and bottom panels), planted at low density (yellow) and high density (gray), across a gradient of source climate as represented by the first and second axes of a principal components (PC) analysis using climate averages for the genotypes used in the experiment (left and right panels). Predicted means averaged across other model terms are shown with the bolded lines and the shaded bands represent the 95% quantiles of the highest posterior density interval. The four common garden sites in Wyoming and Idaho, USA, were Baltzor (BA), Cheyenne (CH), Sheep Station (SS), and Wildcat (WI).
The effects of genotype and source climate on Bromus tectorum flowering time averaged across four common garden sites in Wyoming and Idaho, USA. Predicted average flowering times were earlier for (a) genotypes from hot and dry climates than for those from cool and wet climates, and for (b) genotypes from climates with more pronounced temperature seasonality than those from climates with less‐pronounced seasonality. Points represent predicted average flowering time for each genotype (n = 92). Solid lines represent predicted means from the model and shaded regions represent 95% credible intervals. PC, principal component.
Predicted average flowering times for each Bromus tectorum genotype across (a) four common garden sites in Wyoming and Idaho, USA, (b) gravel treatments, and (c) density treatments. Each genotype is represented by points connected by a line. Note that the scales of the y‐axes vary between plots (a) and (b), (c). Predicted differences in flowering time between (d) the cold aseasonal and cool seasonal sites (as an example of between‐site comparison), (e) gravel treatments, and (f) density treatments across genotypes. Distributions in (d)–(f) characterize average genotype responses to current environment, where the vertical lines under each distribution (rug) depicts each genotype's predicted value.

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Phenological sensitivity of Bromus tectorum genotypes depends on current and source environments
  • Article
  • Publisher preview available

March 2025

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83 Reads

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Toby M. Maxwell

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Dana M. Blumenthal

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[...]

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Plants respond to their environment with both short‐term, within‐generation trait plasticity, and long‐term, between‐generation evolutionary changes. However, the relative magnitude of plant responses to short‐ and long‐term changes in the environment remains poorly understood. Shifts in phenological traits can serve as harbingers for responses to environmental change, and both a plant's current and source (i.e., genotype origin) environment can affect plant phenology via plasticity and local adaptation, respectively. To assess the role of current and source environments in explaining variation in flowering phenology of Bromus tectorum, an invasive annual grass, we conducted a replicated common garden experiment using 92 genotypes collected across western North America. Replicates of each genotype were planted in two densities (low = 100 seeds/1 m², high = 100 seeds/0.04 m²) under two different temperature treatments (low = white gravel; high = black gravel; 2.1°C average difference) in a factorial design, replicated across four common garden locations in Idaho and Wyoming, USA. We tested for the effect of current environment (i.e., density treatment, temperature treatment, and common garden location), source environment (i.e., genotype source climate), and their interaction on each plant's flowering phenology. Flowering timing was strongly influenced by a plant's current environment, with plants that experienced warmer current climates and higher densities flowering earlier than those that experienced cooler current climates and lower densities. Genotypes from hot and dry source climates flowered consistently earlier than those from cool and wet source climates, even after accounting for genotype relatedness, suggesting that this genetically based climate cline is a product of natural selection. We found minimal evidence of interactions between current and source environments or genotype‐by‐environment interactions. Phenology was more sensitive to variation in the current climate than to variation in source climate. These results indicate that cheatgrass phenology reflects high levels of plasticity as well as rapid local adaptation. Both processes likely contribute to its current success as a biological invader and its capacity to respond to future environmental change.

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Total soil, mineral, or particulate organic carbon (SOC, A; MAOC, B; or POC, C) stocks compared across warm (Colorado Plateau) and cold (Wyoming Basin) ecoregions, depth of sampling, and presence of cheatgrass. Bars show the mean carbon stock across the relevant microsites (sagebrush or annual grass in invaded; sagebrush and bare soil in uninvaded) and error bars indicate SE. * denotes significant differences between invaded and uninvaded samples according to pre-planned contrasts. For statistical significance, see main effects in table 2 and mean separations in table S2. Note the varying scale between the three C fractions.
The ratio of MAOC to POC stocks compared to total SOC, considering invasion status, microsite, ecoregion, and depth.
Invasion of perennial sagebrush steppe by shallow-rooted exotic cheatgrass reduces stable forms of soil carbon in a warmer but not cooler ecoregion

March 2025

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8 Reads

Soil organic carbon (‘SOC’) in drylands comprises nearly a third of the global SOC pool and has relatively rapid turnover and thus is a key driver of variability in the global carbon cycle. SOC is also a sensitive indicator of longer-term directional change and disturbance-responses of ecosystem C storage. Biome-scale disruption of the dryland carbon cycle by exotic annual grass invasions (mainly Bromus tectorum, ‘Cheatgrass’) threatens carbon storage and corresponding benefits to soil hydrology and nutrient retention. Past studies on cheatgrass impacts mainly focused on total C, and of the few that evaluated SOC, none compared the very different fractions of SOC, such as relatively unstable particulate organic carbon (POC) or relatively stable, mineral-associated organic carbon (MAOC). We measured SOC and its POC and MAOC constituents in the surface soils of sites that had sagebrush canopies but differed in whether their understories had been invaded by cheatgrass or not, in both warm and relatively colder ecoregions of the western USA. MAOC stocks were 36.1% less in the 0–10 cm depth and 46.1% less in the 10–20 cm depth in the cheatgrass-invaded stands compared to the uninvaded stands of the warmer Colorado Plateau, but not in the cooler and more carbon-rich Wyoming Basin ecoregion. In plots where cheatgrass increased SOC, it was via unstable POC. These findings indicate that cheatgrass effects on the distribution of soil carbon among POC and MAOC fractions may vary among ecoregions, and that cheatgrass can reduce forms of carbon that are otherwise considered stable and ‘secure’, i.e. sequestered.


Photographs of representative sites, the primary microsites comprising each site, and generalized predictions for relative differences in carbon stock above ground and by depth in the soil for each microsite
Over all soil depths, the relative ranking of carbon stock by microsite was predicted to be Shrub>PBG > EAG > BS, where PBG is perennial bunchgrass, EAG is an exotic annual grass, and BS is bare soil. Photo credit: Toby Maxwell.
Aboveground biomass, carbon content, and carbon stock in invaded or uninvaded and burned or unburned areas
Brown, Yellow, light green and dark green portions of the bars represent the contribution of bare soil, exotic annual grass (EAG), perennial bunchgrass (PBG), and shrub biomass to the total aboveground biomass stock (A). The carbon effects of annual grass invasion and wildfires are shown in C for burning (dotted arrow), invasion (solid arrow), and burning with invasion (dashed arrow). Bars represent average carbon content (B) or total carbon stocks (C) for 0–100 cm depth for each landscape condition. Significant differences (Tukey’s HSD test, p < 0.05) between bars within each panel are represented by lowercase letters at the top of each bar where a shared letter indicated no significant difference. Error bars represent standard error. Note the varying scale and units for each panel.
Variation in carbon with soil depth among the plot types
Carbon content (A, B) and carbon stocks (C, D), aggregated across ecoregions and microsites for different depth ranges for burned (left) and unburned (right) as well as invaded (brown, filled points) and uninvaded (green, empty points) plots +/− SE. Significant differences are indicated where: p < 0.1, *p < 0.05, **p < 0.001, ***p < 0.0001 for paired t-tests between invaded and uninvaded plots within a single depth fraction and burned and invaded treatment combination. No symbol is displayed for p > 0.10.
Ball-and-cup diagram conceptualizing results on changes in soil carbon resulting from plant community state transitions associated with exotic annual grass invasion and wildfire
Relative soil carbon stocks (left axis) and ecological stability of the carbon (right axis) are represented by the four “ground levels’ of soil on the y-axis for each ecosystem state (x-axis) in this study. The plant community for each ecosystem state is represented within each cup (also see Fig. 1), as is the relative aboveground biomass (intensity of blue coloring) and soil carbon with depth (intensity of brown shading), where darker shading represents more carbon. Arrows show perturbations that cause state transitions among plant communities to a new state where wildfire is represented by shaded orange/red, invasion in black, and state transitions to states that have more or less carbon in green (natural recovery likely) or red (natural recovery unlikely), respectively. Red arrows represent the ecosystem states where intervention/restoration would be most appropriate. The height of the hill between states is proportional to the severity of a disturbance (or restoration intervention) that would be required to shift the ecosystem from one state to another. For example, a more intense restoration/disturbance would be required to stimulate recovery to the greatest carbon state for the burned/invaded compared to the unburned/invaded state. This original image was made for exclusive use by the authors by Mason Otis.
Annual grass invasions and wildfire deplete ecosystem carbon storage by >50% to resistant base levels

November 2024

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35 Reads

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1 Citation

Ecological disturbance can affect carbon storage and stability and is a key consideration for managing lands to preserve or increase ecosystem carbon to ameliorate the global greenhouse gas problem. Dryland soils are massive carbon reservoirs that are increasingly impacted by species invasions and altered fire regimes, including the exotic-grass-fire cycle in the extensive sagebrush steppe of North America. Direct measurement of total carbon in 1174 samples from landscapes of this region that differed in invasion and wildfire history revealed that their impacts depleted soil carbon by 42–49%, primarily in deep horizons, which could amount to 17.1–20.0 Tg carbon lost across the ~400,000 ha affected annually. Disturbance effects on soil carbon stocks were not synergistic, suggesting that soil carbon was lowered to a floor—i.e. a resistant base-level—beneath which further loss was unlikely. Restoration and maintenance of resilient dryland shrublands/rangelands could stabilize soil carbon at magnitudes relevant to the global carbon cycle.


Local adaptation to climate facilitates a global invasion

September 2024

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354 Reads

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3 Citations

Local adaptation may facilitate range expansion during invasions, but the mechanisms promoting destructive invasions remain unclear. Cheatgrass ( Bromus tectorum ), native to Eurasia and Africa, has invaded globally, with particularly severe impacts in western North America. We sequenced 307 genotypes and conducted controlled experiments. We found that diverse lineages invaded North America, where long-distance gene flow is common. Ancestry and phenotypic clines in the native range predicted those in the invaded range, indicating pre-adapted genotypes colonized different regions. Common gardens showed directional selection on flowering time that reversed between warm and cold sites, potentially maintaining clines. In the Great Basin, genomic predictions of strong local adaptation identified sites where cheatgrass is most dominant. Preventing new introductions that may fuel adaptation is critical for managing ongoing invasions.


Differences between daily average soil surface temperatures for black compared to white gravel for Boise (Top) and Cheyenne (Bottom) sites
Diurnal cycles of soil temperature during a period with no cloud cover in Boise (A) and hourly data showing diurnal cycles of soil temperature before, during, and after a snow event at the Boise site (B) where 23 cm of snow fell between February 12th and 14th and remained through February 21st. Treatments are indicated by color where ambient is yellow, white-gravel is blue, and black-gravel is red, with 95% confidence intervals in grey shading. Strong treatment effects were observed on February 10th (clear skies) in addition to February 11th (cloudy skies), and treatment effects resumed by February 23rd following snowmelt
Mean plant length (height) ± standard error of each treatment combination over the course of the spring growing season. Ambient plots are in yellow, white-gravel in blue, and black-gravel in red, with high density plantings represented by filled circles, and low-density planting represented by open squares. Harvest occurred on the final sampling date which was June 8th at the Boise, and July 22nd at the Cheyenne site
Phenological response to gravel-color treatments. Panels show the percent of alive (“remaining”) plants exhibiting the respective phenological status (scale of each Y-axis) is 0–100% between light grey gridlines and is also represented by the purple to yellow color gradient where the color represents the survival percentage at the beginning of a particular time period. V0: Emerged leaf not fully developed; V1: 1 fully emerged leaf; V2: 2 fully emerged leaves; V3: 3 fully emerged leaves; > V3: More than 3 fully emerged leaves; Boot – Seeds swelling in flag leaf; Flowering 1: Green seeds emerged; Flowering 2: Purple seeds emerged; Ripening: seeds browning
Experimental manipulation of soil-surface albedo alters phenology and growth of Bromus tectorum (cheatgrass)

February 2023

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75 Reads

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6 Citations

Plant and Soil

Purpose The sensitivity of wildland plants to temperature can be directly measured using experimental manipulations of temperature in situ. We show that soil surface temperature and plant density (per square meter) have a significant impact on the germination, growth, and phenology of Bromus tectorum L., cheatgrass, a short-statured invasive winter-annual grass, and assess a new experimental temperature manipulation method: the application of black and white gravel to warm and cool the soil surface. Methods We monitored height, seed production, and phenological responses of cheatgrass, seeded into colored gravel at low and high densities at two sites in the western USA: Boise, ID and Cheyenne, WY. Soil surface temperature and volumetric water content were measured to assess treatment effects on soil surface microclimate. Results Black gravel increased mean temperatures of the surface soil by 1.6 and 2.6 °C compared to white gravel in Cheyenne and Boise, respectively, causing 21–24 more days with soil temperatures > 0 °C, earlier cheatgrass germination, and up to 2.8-fold increases in cheatgrass height. Higher seeding density of cheatgrass led to 1.4-fold taller plants on black gravel plots at both sites, but not white gravel at the Boise site, indicating a possible thermal benefit or reduction of water demand due to plant clustering in warmer treatments. Conclusions Manipulating soil-surface albedo altered the soil microclimate and thus growth and phenology of cheatgrass, whose life history and growth form confer a strong dependency on soil-surface conditions.


Above‐ground biomass (AGBC) and soil carbon at two depths (0–10 cm, and 20–160 cm) as a function of time since fire (top panels) and plant community grouping, for the original analysis of Nagy et al. (2021) from their Figure 3e (striped), and for our revised analysis that distinguishes sites as summer dry (closed bars) or summer wet (open bars) for native sagebrush steppe (dark green), cheatgrass invaded sagebrush (light green) or cheatgrass sites (yellow). Y axis scales are different for soil and AGBC data to help visualize differences between variable combinations. All variable combinations were represented in the dataset, thus some areas are left blank on the plot, additionally some combinations had only one data point and are therefore lacking error bars. Significant differences are reported for LSD tests where striped bars are for Nagy et al. (2021) original data (lowercase lettering) and unfilled bars for the revised analysis (capital letters). Lowercase letters above striped bars are for comparison between all striped bars in that row and capital letters above filled or open bars are for comparison between all filled or open bars in that row.
Map of studies in Nagy et al.'s (2021) metanalysis, along with annotation of the resistance and resilience (R&R) classification for each site (Rangeland Analysis Platform, Maestas et al., 2016).
Organic carbon content of soil in topsoil (0–10 cm, top panels) and deep soil (20–160 cm, bottom panels) at different times since fire as reported by Nagy et al. (2021) (recreated in panels a, e). The original figure identity was Figure 3d. The same data are represented in the 6 panels on the right, now differentiated by R&R class. Note: Axes start at a value of 2, which is less than the minimum value across all data. Not all variable combinations were represented in the dataset, thus some areas are left blank on the plot. Significant differences are reported for LSD tests within each depth class and across R&R classes in our reanalysis.
Maps of the potential geographic range of big sagebrush (Rangelands.app; Maestas et al., 2016), with the Great Basin nested within (boundary obtained from Great Basin Landscape Conservation Cooperative Boundary, n.d., upper left), and absolute cover of annual herbs (upper right), perennial herbs (lower left), and shrubs (lower right) within those areas. Data acquired from the rangeland analysis platform from 2019 data, aggregated to 500 m² resolution (Rangelands.App; Maestas et al., 2016).
Relative abundances of shrubs, perennial herbs and annual herbs within the Nagy et al. (2021) dataset (a), and throughout the geographic range of sagebrush (b), or within the Great Basin (c) for each pixel in Figure 4. Community composition is shown for individual sites from the meta‐analysis of Nagy et al. (2021) (a) with yellow, light green and dark green circles representing approximations of ‘cheatgrass’ (60%–100% annuals), ‘invaded sagebrush’ (20%–60% shrubs and 20%–60% annuals) and ‘native sagebrush’ (20%–80% sagebrush, 20%–80% perennials, and <10%annuals) communities used in their paper, respectively. Colours of the heatmaps (b, c) represent the total count (as in a histogram) of raster cells contributing to a cell in the ternary diagram, where warmer colours reflect more commonly occurring plant community mixtures. The legends indicate the pixel count (from Figure 4) for each cell in the corresponding ternary heatmap.
The effects of cheatgrass invasion on US Great Basin carbon storage depend on interactions between plant community composition, precipitation seasonality, and soil climate regime

September 2022

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47 Reads

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8 Citations

Annual‐grass invasions are transforming desert ecosystems in ways that affect ecosystem carbon (C) balance, but previous studies do not agree on the pattern, magnitude and direction of changes. A recent meta‐analysis of 41 articles and 386 sites concludes that invasion by annual grasses such as cheatgrass (Bromus tectorum L) reduces C in biomass across the Great Basin (Nagy et al., 2021). Reanalysis reveals that whether cheatgrass affects biomass C stocks is not generalizable, but rather depends on the considerable variation in climate across the subject sites. Our analysis suggests that accurate Great Basin‐scale estimates of cheatgrass effects on C balance are not yet possible. Addition of climate variables to the meta‐analysis reveals that cheatgrass invasion (a) reduced C in above‐ground biomass in relatively summer‐wet sites but not in summer‐dry sites, (b) increased surface soil C in sites with intermediate resistance and resilience classifications (R&R) but not in low R&R sites—that is, mesic/aridic soil climates and (c) did not affect deep soil C. Considering that cheatgrass has expanded most in relatively summer‐dry sites and mesic/aridic sites, omission of climate factors leads to model overestimates of cheatgrass effects on C when extrapolating to larger areas. Estimates of cheatgrass effects on C would also be improved if the analysis considered that (a) perennial grasslands are a common community state in the Great Basin that have intermediary C relative to annual grasslands and sagebrush stands, that is the omission of perennial grasslands from analysis inflates the baseline C storage of uninvaded Great Basin ecosystems, and( b) cheatgrass does not often exist in stable monocultures and soil carbon can reflect current or recent presence of other species. Synthesis and applications. Invasions often reveal heterogeneity in ecosystem structure and function that is not otherwise evident, and the heterogeneity can influence estimation of the net impacts of the invaders. For cheatgrass and other invaders, we propose that formally accounting for the spatial variability of invasion on ecosystem functions will improve the estimation of their net effect on ecosystem C, and thus improve prospects for adjusting management practices to optimize C sequestration.

Citations (4)


... Drylands make up 41% of the earth's ice-free land area and despite their relatively low productivity, they store 32% of global SOC due to their vast extent (Prăvălie 2016, Plaza et al 2018. Disturbances such as fire, species invasion, and human-driven land management can significantly change the quantity of SOC stored in drylands with consequences for atmospheric CO 2 concentrations and for the provision of dryland ecosystem services (Maxwell et al 2024, Shrestha & Stahl 2008, Nichols et al 2021, Pellegrini et al 2022. Yet, despite its important role, there is a dearth of information about the consequences of large-scale disturbances on the potential for long-term C sequestration in drylands. ...

Reference:

Invasion of perennial sagebrush steppe by shallow-rooted exotic cheatgrass reduces stable forms of soil carbon in a warmer but not cooler ecoregion
Annual grass invasions and wildfire deplete ecosystem carbon storage by >50% to resistant base levels

... Trait-environment correlations provide evidence of local adaptation when they align with reasonable evolutionary hypotheses of how plants respond to changes in their environment (Endler, 1986;Montague et al., 2008). We also assessed how accounting for genetic relatedness influenced the relationship between source climate and flowering time, which can provide additional evidence that natural selection maintains genetically based clines (Gamba et al., 2024). Our second objective was to test for genotype-by-environment interactions (i.e., differential responses of genotypes to current environmental conditions) and explore whether the phenological response of B. tectorum to its current environment depended on the genotype's source environment. ...

Local adaptation to climate facilitates a global invasion

... B. tectorum exhibits considerable phenotypic plasticity, allowing it to acclimate to short-term shifts in its environment, and substantial genetic and phenotypic variation both within and across its introduced populations (reviewed in Hufft & Zelikova, 2016;Leger et al., 2009;Rice & Mack, 1991a), despite primarily self-pollinating (Novak et al., 1991). Previous work on B. tectorum phenology suggests that flowering timing has a strong genetic component (Revolinski et al., 2023;Rice & Mack, 1991b), and also that flowering time can meaningfully shift in response to warming over the course of a year to a decade (Howell et al., 2020;Maxwell et al., 2023;Prevéy et al., 2024). ...

Experimental manipulation of soil-surface albedo alters phenology and growth of Bromus tectorum (cheatgrass)

Plant and Soil

... Studies of cheatgrass effects on SOC have varied in their conclusions on its impacts, with some suggesting that that both exotic annual grass invasion and wildfire can independently reduce SOC by almost 50%, yet other research has shown possible increased SOC stocks with cheatgrass invasion (reviewed in Germino et al 2016, Nagy et al 2021, Maxwell et al 2024. The variability in findings about cheatgrass effects on soil C could relate to (1) confusion of cause-and-effect relationships (Germino et al 2016, Maxwell andGermino 2022), (2) background climate and edaphic factors that modulate cheatgrass effects (Belnap et al 2016), (3) dissimilarity in soil depth and microsite type of sampling (e.g. shrub, grass, or bare-soil microsites; Maxwell and Germino 2022), or (4) type and form of C sampled, along with precision of the requisite soil bulk density measures needed to translate soil C content to ecosystem C stocks. ...

The effects of cheatgrass invasion on US Great Basin carbon storage depend on interactions between plant community composition, precipitation seasonality, and soil climate regime