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47 results for “prairie restoration”

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dryad36/100

Novel plant-microbe interactions: rapid evolution of a legume-rhizobium mutualism in restored prairies

1. When plants colonize new habitats, the novel interactions they form with new mutualists or enemies can immediately affect plant performance. These novel interactions also may provoke rapid evolutionary responses and can be ideal scenarios for investigating how species interactions influence plant evolution. 2. To explore how mutualists influence the evolution of colonizing plant populations, we capitalized on an experiment in which two former agricultural fields were seeded with identical prairie seed mixes in 2010. Six years later, we compared how populations of the legume Chamaecrista fasciculata from these sites and their original (shared) source population responded to nitrogen-fixing rhizobia from the restoration sites in a greenhouse reciprocal cross-inoculation experiment. 3. We found that the two populations differed both from their original source population and from each other in the benefits they derive from rhizobia, that one population has evolved reduced allocation to rhizobia (i.e., forms fewer rhizobium-housing nodules). 4. Synthesis. Our results suggest that these plant populations have evolved different ways of interacting with rhizobia, potentially in response to differences in rhizobium quality between sites. Our study illustrates how microbial mutualists may shape plant evolution in new environments and highlights how variation in microbial mutualists potentially may select for different evolutionary strategies in plant hosts.

opencc-zeroJan 2020View details →
dryad36/100

Data from: Comparative water use by maize, perennial crops, restored prairie, and poplar trees in the US Midwest

Water use by plant communities across years of varying water availability indicates how terrestrial water balances will respond to climate change and variability as well as to land cover change. Perennial biofuel crops, likely grown mainly on marginal lands of limited water availability, provide an example of a potentially extensive future land cover conversion. We measured growing-season evapotranspiration (ET) based on daily changes in soil profile water contents in five perennial systems—switchgrass, miscanthus, native grasses, restored prairie, and hybrid poplar—and in annual maize (corn) in a temperate humid climate (Michigan, USA). Three study years (2010, 2011 and 2013) had normal growing-season rainfall (480–610 mm) whereas 2012 was a drought year (210 mm). Over all four years, mean (±SEM) growing-season ET for perennial systems did not greatly differ from corn (496 ± 21 mm), averaging 559 (±14), 458 (±31), 573 (±37), 519 (±30), and 492 (±58) mm for switchgrass, miscanthus, native grasses, prairie, and poplar, respectively. Differences in biomass production largely determined variation in water use efficiency (WUE). Miscanthus had the highest WUE in both normal and drought years (52–67 and 43 kg dry biomass ha−1 mm−1, respectively), followed by maize (40–59 and 29 kg ha−1 mm−1); the native grasses and prairie were lower and poplar was intermediate. That measured water use by perennial systems was similar to maize across normal and drought years contrasts with earlier modeling studies and suggests that rain-fed perennial biomass crops in this climate have little impact on landscape water balances, whether replacing rain-fed maize on arable lands or successional vegetation on marginal lands. Results also suggest that crop ET rates, and thus groundwater recharge, streamflow, and lake levels, may be less sensitive to climate change than has been assumed.

opencc-zeroDec 2016View details →
dryad36/100

Data from: Heterogeneity promotes resilience in restored prairie: implications for the 'environmental heterogeneity hypothesis'

<p>Enhancing resilience in formerly degraded ecosystems is an important goal of restoration ecology. However, evidence for the recovery of resilience and its underlying mechanisms requires long-term experiments and comparison to reference ecosystems. We used data from an experimental prairie restoration that featured long-term soil heterogeneity manipulations and data from comparable remnant (reference) prairie to (1) quantify the recovery of ecosystem functioning (i.e., productivity) relative to remnant prairie, (2) compare resilience of restored and remnant prairies to a natural drought, and (3) test whether soil heterogeneity enhances resilience of restored prairie. We compared sensitivity and legacy effects between prairie types (remnant and restored) and among four prairie sites that included two remnant prairie sites and prairie restored under homogeneous and heterogeneous soil conditions. We measured sensitivity and resilience as the proportional change in aboveground net primary productivity (ANPP) during and following drought (sensitivity and legacy effects, respectively) relative to average ANPP based on four pre-drought years (2014-2017). In non-drought years, total ANPP was similar between remnant and restored prairie, but remnant prairie had higher grass productivity and lower forb productivity compared to restored prairie. These ANPP patterns generally persisted during drought. Sensitivity of total ANPP to drought was similar between restored and remnant prairie, but grasses in restored prairie were more sensitive to drought. Post-drought legacy effects were more positive in restored prairie, and we attributed this to the more positive and less variable legacy response of forb ANPP in restored prairie, especially in the heterogeneous soil treatment. Our results suggest that productivity recovers in restored prairie and exhibits similar sensitivity to drought as remnant prairie. Furthermore, imparting heterogeneity promotes forb productivity and enhances prairie resilience to drought.</p>

opencc-zeroJan 2024View details →
dryad36/100

Seed mix design and floral resources drive multi-trophic interactions in prairie restoration

<ol> <li>Ecological restoration often targets plant community recovery, but restoration success may depend on the recovery of a complex web of biotic interactions to maintain biodiversity and promote ecosystem services. Specifically, management that drives resource availability, such as seeding richness and provenance, may alter species interactions across multiple trophic levels. Using experimentally seeded prairies, we examine three key groups – plants, pollinators, and goldenrod crab spiders (<em>Misumena vatia</em>, predators of pollinators) – to understand the effects of species richness and admixture seed sourcing of restoration seed mixtures on multi-trophic interactions.</li> <li>Working with prairie plants, we experimentally manipulated seed mix richness and the number of seed source regions (single-source region or admixture seed sourcing). In each experimental prairie, we surveyed floral abundance and richness, pollinator visitation, and plant-<em>M. vatia</em> interactions.</li> <li>A high-richness seed mix increased floral abundance when seeds were sourced from a single geographic region, and floral abundance strongly increased pollinator visitation, <em>M. vatia</em> abundance, and prey capture. Seeding richness and admixture seed sourcing of the seed mixture did not affect floral species richness, but floral species richness increased pollinator visitation.</li> <li>Pollinators interacted with different floral communities across seeding treatments, indicating a shift in visited floral species with restoration practices.</li> <li> <em>Synthesis and applications</em>. Long-term success in prairie restoration requires the restoration of plant-arthropod interactions. We provide evidence that seed mix richness and admixture seed sourcing affect arthropod floral associations, but effective restoration of plant-arthropod interactions should consider total floral resource availability. Incorporating a food web perspective in restoration will strengthen approaches to whole ecosystem restoration.</li> </ol>

opencc-zeroJan 2024View details →
dryad36/100

Data from: Management actions shape dung beetle community structure and functional traits in restored tallgrass prairie

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publicSep 2020View details →
dryad36/100

Data from: Comparative water use by maize, perennial crops, restored prairie, and poplar trees in the US Midwest

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publicNov 2019View details →
dryad36/100

Data from: Cracking the case: seed traits and phylogeny predict time to germination in prairie restoration species

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publicApr 2019View details →
dryad36/100

Data from: Restored tallgrass prairies have reduced phylogenetic diversity compared with remnants

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publicJan 2018View details →
dryad36/100

Relationships between flowering phenology and community composition in an experimental restoration of northwest prairies

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publicAug 2025View details →
dryad36/100

Data from: Heterogeneity promotes resilience in restored prairie: implications for the ‘environmental heterogeneity hypothesis’

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publicJan 2024View details →
dryad36/100

Evolution in novel environments: do restored prairie populations experience strong selection?

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publicMay 2021View details →
dryad36/100

Novel plant-microbe interactions: rapid evolution of a legume-rhizobium mutualism in restored prairies

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publicJan 2020View details →
dryad36/100

Seed mix design and floral resources drive multi-trophic interactions in prairie restoration

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publicFeb 2024View details →
dryad32/100

Data from: Exotic species drive patterns of plant species diversity in 93 restored tallgrass prairies

<p>A primary goal of restoration ecology is to understand the factors that generate variability in species diversity and composition among restorations. Plant communities may assemble deterministically towards a common community type, or they may assemble stochastically, ending differently because of weather conditions during establishment, soil legacy effects, or exotic species propagule pressure. To test these alternative hypotheses, we sampled plant communities and soil at 93 randomly selected restored prairies distributed throughout Iowa, USA. Five remnant sites were sampled as a reference. We tested our hypotheses using multiple regressions and investigated the strength of direct and indirect effects on species diversity and richness using structural equation models. The prairie restorations were highly variable in their age, size, diversity, soil characteristics, and how they were managed post-seeding. The strongest predictor of plant species richness and diversity was the degree of invasion, as measured by the abundance of exotic species. Restorations planted with species-rich seed mixes had reduced exotic species abundance, which led indirectly to higher species richness of restorations.  Sites with higher organic matter and a more linear shape had a direct positive effect on exotic abundance, which in turn decreased diversity. We found little support for deterministic assembly, and diversity did not increase with the age of planting.  Our results indicate that restored prairie communities tend to assemble into states of high or low diversity, driven by invasion from exotic plant species.  Management of exotic species is essential for maximizing species diversity in temperate grassland restorations.</p>

opencc-zeroSep 2020View details →
dryad32/100

Data from: Bee communities along a prairie restoration chronosequence: similar abundance and diversity, distinct composition

Recognition of the importance of bee conservation has grown in response to declines of managed honey bees and some wild bee species. Habitat loss has been implicated as a leading cause of declines, suggesting that ecological restoration is likely to play an increasing role in bee conservation efforts. In the Midwestern USA, restoration of tallgrass prairie has traditionally targeted plant community objectives without explicit consideration for bees. However, restoration of prairie vegetation is likely to provide ancillary benefits to bees through increased foraging and nesting resources. We investigated community assembly of bees across a chronosequence of restored eastern tallgrass prairies and compared patterns to those in control and reference habitats (old fields and prairie remnants, respectively). We collected bees for three years and measured diversity and abundance of in-bloom flowering plants, vegetation structure, ground cover, and surrounding land use as predictors of bee abundance and bee taxonomic and functional diversity. We found that site-level variables, but not site type or restoration age, were significant predictors of bee abundance (bloom diversity: p = 0.004, bare ground cover: p = 0.02) and bee diversity (bloom diversity: p = 0.01). There were significant correlations between overall composition of bee and blooming plant communities (mantel test: p = 0.002), and both plant and bee assemblages in restorations were intermediate between those of old fields and remnant prairies. Restorations exhibited high bee beta diversity, i.e., restored sites' bee assemblages were taxonomically and functionally differentiated from each other. This pattern was strong in younger restorations (&lt; 20 years old), but absent from older restorations (&gt; 20 years), suggesting restored prairie bee communities become more similar to one another and more similar to remnant prairie bee communities over time with the arrival of more species and functional groups of bees. Our results indicate that old fields, restorations, and remnants provide habitat for diverse and abundant bee communities, but continued restoration of old fields will help support and conserve bee communities more similar to reference bee communities characteristic of remnant prairies.

opencc-zeroDec 2015View details →
dryad32/100

Data from: Exotic species drive patterns of plant species diversity in 93 restored tallgrass prairies

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publicSep 2020View details →
dryad32/100

Data from: Bee communities along a prairie restoration chronosequence: similar abundance and diversity, distinct composition

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publicDec 2016View details →
dryad32/100

Data from: Seed source impacts germination and early establishment of dominant grasses in prairie restorations

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publicOct 2016View details →
dryad32/100

Data from: Establishing the plant component of a tallgrass prairie restoration using a remnant reference ecosystem model: A case study

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publicSep 2025View details →
dryad28/100

Data from: Adaptive genetic potential and plasticity of trait variation in the foundation prairie grass Andropogon gerardii across the US Great Plains' climate gradient: Implications for climate change and restoration

<p>Plant response to climate depends on a species' adaptive potential. To address this, we used reciprocal gardens to detect genetic and environmental plasticity effects on phenotypic variation and combined with genetic analyses. Four reciprocal garden sites were planted with three regional ecotypes of <i>Andropogon gerardii</i>, a dominant Great Plains prairie grass, using dry, mesic, wet ecotypes originating from western KS to Illinois that span 500 to 1,200 mm rainfall year<sup>-1</sup>. We aimed to answer: (1) What is the relative role of genetic constraints and phenotypic plasticity in controlling phenotypes? 2) When planted in the home site, is there a trait syndrome for each ecotype? 3) How are genotypes and phenotypes structured by climate? (4) What are implications of these results for response to climate change and use of ecotypes for restoration? Surprisingly, we did not detect consistent local adaptation. Rather, we detected co-gradient variation primarily for most vegetative responses. All ecotypes were stunted in western KS. Eastward, the wet ecotype was increasingly robust relative to other ecotypes. In contrast, fitness showed evidence for local adaptation in wet and dry ecotypes with wet and mesic ecotypes producing little seed in western KS. Earlier flowering time in the dry ecotype suggests adaptation to end of season drought. Considering ecotype traits in home site, the dry ecotype was characterized by reduced canopy area and diameter, short plants, and low vegetative biomass and putatively adapted to water limitation. The wet ecotype was robust, tall with high biomass and wide leaves putatively adapted for the highly competitive, light-limited Eastern Great Plains. Ecotype differentiation was supported by random forest classification and PCA. We detected genetic differentiation and outlier genes associated primarily with precipitation. We identified candidate gene GA1 for which allele frequency associated with plant height. Sourcing of climate adapted ecotypes should be considered for restoration.</p>

opencc-zeroMay 2020View details →

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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Last verified 2026-04-29Open record