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75 results for “Ecosystem traits”
Species trait tissue chemistry: Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes
Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.
Data for manuscript: A framework for integrating genomics, microbial traits, and ecosystem biogeochemistry
<p>Support manuscript: A framework for integrating genomics, microbial traits, and ecosystem biogeochemistry. </p> <p>Dataset includes 1) model and analysis, and 2) supplemental data. </p> <p>In the "model_analysis" file, we include the ecosys model source code, the modeling runs, and the modeling results. The detailed introduction is in README.md file. </p> <p><strong>Acknowledgments</strong></p> <p>We thank the EMERGE Biology Integration Institute Coordinators (members listed in Supplementary Information) for project guidance and management. This research is a contribution of the EMERGE Biology Integration Institute, funded by the National Science Foundation, Biology Integration Institutes Program, Award # 2022070 (V.I.R., R.K.V., S.R.S., M.B.S., E.L.B., and the EMERGE Coordinators). Additional support for individual contributors included the following. Z.L. was additionally supported by Lawrence Livermore National Laboratory under the auspices of the U.S. Department of Energy under contract DE-AC52-07NA27344. W.J.R. was supported by the Belowground Biogeochemistry Scientific Focus Area and U.K. was supported by the Watershed Function Science Area, both funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under contract no. DE-AC02-05CH11231. G.L.M. was supported by the LLNL "Microbes Persist" Soil Microbiome Scientific Focus Area SCW1632 and an associated KBase award SCW1746. N.J.B. was supported by the US Department of Energy, Office of Science (BER), Early Career Research Program (#FP00005182). B.J.W. was supported by an Australian Research Council Future Fellowship (#FT210100521). J.T. was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory. </p> <p>We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council’s grant 4.3-2021-00164. This research used resources of the National Energy Research Scientific Computing Center (NERSC) which is a U.S. Department of Energy Office of Science user facility. This research used the Lawrencium computational cluster resource provided by the IT Division at the Lawrence Berkeley National Laboratory (Supported by the Director, Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231). </p> <p><strong>Full list of the EMERGE Biology Integration Institute Coordinators and Affiliations</strong></p> <p>Eoin L. Brodie1,2, Sarah C. Bagby3, Jeffrey P. Chanton4, Jessica G. Ernakovich5, Regis Ferriere6,7, Suzanne B. Hodgkins8, William J. Riley1, Virginia I. Rich8,9, Scott R. Saleska6, Matthew B. Sullivan8,9,10, Ruth K. Varner11, Gene W. Tyson12, Malak M. Tfaily13, Ahmed A. Zayed8,9<br> 1Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory; Berkeley, CA 94720, USA.<br>2Department of Environmental Science, Policy and Management, University of California; Berkeley, CA 94720, USA.<br>3Department of Biology, Case Western Reserve University; Cleveland, OH, USA, 44106<br>4Earth Ocean and Atmospheric Sciences, Florida State University; Tallahassee, FL, USA<br>5Department of Natural Resources and the Environment, University of New Hampshire;<br>Durham, NH, USA 03824<br>6Department of Ecology and Evolutionary Biology, University of Arizona; Tucson, AZ,<br>85721, USA<br>7Institut de Biologie de l’ENS, Université Paris Sciences & Lettres; Paris, 75005, France<br>8Department of Microbiology, The Ohio State University; Columbus, OH, USA, 43210<br>9Center of Microbiome Science, The Ohio State University; Columbus, Ohio 43210, USA.<br>10Department of Civil, Environmental and Geodetic engineering, The Ohio State University; Columbus, Ohio 43210, USA.<br>11Department of Earth Sciences and Institute for the Study of Earth, Oceans and Space, University of New Hampshire; Durham, NH 03824, USA.<br>12Centre for Microbiome Research, School of Biomedical Sciences, Queensland University<br>of Technology (QUT), Translational Research Institute; Woolloongabba, QLD, Australia<br>13Department of Environmental Science, University of Arizona; Tucson, AZ, 85721, USA</p>
The role of the intraspecific variability of hydraulic traits for modelling the plant water use in different European forest ecosystems: scripts, model output, and parameter files
<p>This repository contains the model outputs and R scripts used to process the data to analyze the impact of the plant hydraulic parameterization of the manuscript: "The role of the intraspecific variability of hydraulic traits for modelling the plant water use in different European forest ecosystems". The following is a detailed description of the content of this repository:</p> <p>model_output.zip: This compressed file contains the results of all the individual numerical experiments per experimental site as produced by the Comunity Land Model version 5. The files are stored in NETCDF format per year. The folder is arranged with subfolders containing the individual results from each experimental site as follows:</p> <ul> <li>rc: model output with the results of the resistant configuration of experiment 1 (RC)</li> <li>vc: model output with the results of the vulnerable configuration of experiment 1 (VC)</li> <li>k_dc: model output with the results of the default configuration used for experiments 1 and 2 (DC or DC<em>k</em><sub>max</sub>)</li> <li>k_rc: model output with the results of the low plant hydraulic conductance (L<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_irc: model output with the results of the intermediate low plant hydraulic conductance (IL<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_vc: model output with the results of the high plant hydraulic conductance (H<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_ivc: model output with the results of the intermediate high plant hydraulic conductance (IH<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_iirc: model output with the results of the additional intermediate low plant hydraulic conductance (IIL<em>k</em><sub>max</sub>) for experiment 2</li> <li>ko_dc: model output with the results of the best <em>k</em><sub>max</sub> and the default configuration of the PVC used in experiment 3</li> <li>ko_rc: model output with the results of the best <em>k</em><sub>max</sub> and the resistant configuration of the PVC used in experiment 3</li> <li>ko_vc: model output with the results of the best <em>k</em><sub>max</sub> and the vulnerable configuration of the PVC used in experiment 3</li> </ul> <p>The scripts were written for use in RStudio, and each contains a detailed description of the data requirements and outputs. Each script was developed to read directly the netcdf files of the model output and the csv files containing the transpiration estimates calculated from the SAPFLUXNET per experimental site (script 1).</p>
Data from: defining the pyro-thermal niche: do seed traits, ecosystem type and phylogeny influence thermal thresholds in seeds with physical dormancy
<p>Seeds are a key pathway for plant population recovery following disturbance. To prevent germination during unsuitable conditions, most species produce dormant seeds. In fire-prone regions, physical dormancy (PY) enables seeds to germinate after fire. The thermal niche, incorporating seed dormancy and mortality temperature responses, has not been characterised for PY seeds from fire prone environments.</p> <p>We aimed to assess variation in thermal thresholds between species with PY seeds and if the pyro-thermal niche is aligned with seed mass, ecosystem type or phylogenetic relatedness.</p> <p>We collected post heat-shock germination data for 58 Australian species that produce PY seeds. We applied species-specific thermal performance curves to define three critical thresholds (DRT<sub>50, </sub>dormancy release temperature; T<sub>opt</sub>,<sub> </sub>optimum dormancy release temperature and LT<sub>50</sub>, lethal temperature), defining the pyro-thermal niche. Each species was assigned a mean seed weight and ecosystem type. We constructed a phylogeny to account for species relatedness and calculated phylogenetic signal (h<sup>2</sup>) for LT<sub>50,</sub> T<sub>opt</sub>, and<sub> </sub>DRT<sub>50</sub>.</p> <p>Seeds of <em>Pomaderris</em> (Rhamnaceae) had the highest T<sub>opt</sub> and LT<sub>50</sub>, and <em>Pomaderris bodalla</em> having the highest DRT<sub>50 </sub>of 101.3°C. Seeds from species within this family exhibited higher temperature thresholds than those from Fabaceae. Seed mass was only influential in explaining LT<sub>50 </sub>variation.</p>
Experimental addition of marine-derived nutrients affects wildflower traits in a coastal meta-ecosystem
<p>Organismal movement can bring individuals, resources, and novel interactions across ecosystem boundaries and into recipient habitats, thereby forming meta-ecosystems. For example, Pacific salmon ecosystems receive large marine-derived nitrogen subsidies during annual spawning events, which can have a wide range of effects on aquatic and terrestrial plant species and communities. In this study, we evaluate the effects of cross-ecosystem nutrient subsidies on terrestrial plant growth and reproduction. We conducted a large-scale field experiment with four treatments: (1) addition of a pink salmon (<em>Oncorhynchus</em> <em>gorbuscha</em>) carcass, (2) addition of the drift seaweed rockweed (<em>Fucus</em> <em>distichus</em>), (3) addition of both salmon + rockweed, and (4) a control. We examined treatment effects on leaf nitrogen and fitness-associated floral traits in four common estuarine wildflower species. We found elevated leaf ∂<sup>15</sup>N in all plant species and all sampling years in treatments with salmon carcass additions but did not observe any differences in leaf percent nitrogen. We also observed larger leaf area in two species, a context-dependent increase in floral display area in two species, and a limited increase in plant seed set in response to both salmon carcass treatments. In sum, our study suggests that marine nutrients can affect terrestrial plant growth and reproduction.</p>
Experimental addition of marine-derived nutrients affects wildflower traits in a coastal meta-ecosystem
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Data from: Defining the pyro-thermal niche: do seed traits, ecosystem type and phylogeny influence thermal thresholds in seeds with physical dormancy
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Data from: Quantifying the contribution of community trait mean and diversity to ecosystem functioning
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Data from: Ecosystem nitrogen retention is regulated by plant community trait interactions with nutrient status in an alpine meadow
1.Biotic nitrogen (N) retention is an important ecosystem function in the context of ongoing land use intensification, N deposition and global warming. However, a paucity of experimental evidence limits understanding of how different plant community components influence N retention in terrestrial ecosystems. 2.In this investigation we conducted a 15N labelling experiment to test how plant community properties, including plant species richness/diversity, dominance and functional traits, influence plant N uptake and retention under different nutrient availabilities. A three-year experiment examined the effects of adding N (10 g N m−2 year−1) and phosphorus (P) (5 g P m−2 year−1) to an alpine meadow on the Qinghai-Tibetan Plateau. 3.Results show that 15N retention increased with the addition of N and P; the addition of P produced the largest increase of 15N retention in plant and soil N pools. Changes in soil nutrient conditions also facilitated different plant community controls on ecosystem N retention. Ecosystem 15N retention was influenced by species richness and root biomass in the control plots; whereas the N addition treatment showed an important effect of community-weighted means (CWM) of specific leaf area (SLA), and plots with additional P recorded lower CWM of root nitrogen content (root N) and larger CWM root:shoot ratios (R/S) as important determinants. 4.Synthesis. Ecosystem N retention was influenced by conservative and exploitative plant species and/or their traits under N deficient and abundant conditions, respectively, whereas species richness and community plant biomass were most influential under control conditions. The discovery of an interaction between plant community traits and nutrient biogeochemistry as a mechanism for ecosystem N retention offers a means to predict how vegetation in alpine meadow ecosystems will respond to expected global change.
Data from: Can avian functional traits predict cultural ecosystem services?
<ol> <li><span>The functional trait diversity of species assemblages can predict the provision of ecosystem services such as pollination and carbon sequestration, but it is unclear whether the same trait-based framework can be applied to identify the factors that underpin cultural ecosystem services and disservices. </span></li> <li><span>To explore the relationship between traits and the contribution of species to cultural ecosystem services and disservices, we conducted 404 questionnaire surveys with birdwatchers and local residents in Guanacaste, Costa Rica.</span></li> <li><span>We used an information-theoretic approach to identify which of 20 functional traits for 199 Costa Rican bird species best predicted their cultural ecosystem service scores related to birdwatching, acoustic aesthetics, education and local identity, as well as disservices (e.g., harm to crops). </span></li> <li><span>We found that diet was the most important variable explaining perceptions of cultural ecosystem service and disservice providers. Aesthetic traits such as plumage colour and pattern were important in explaining birdwatching scores. We also found people have a high affinity for forest-affiliated birds. </span></li> <li><span>The insight that functional traits can explain variation among cultural perspectives on values derived from birds offers a first step towards a trait-based system for understanding the species attributes that underpin cultural ecosystem services and disservices.</span></li> </ol>
Nitrogen redistribution and seasonal trait fluctuation facilitate plant N conservation and ecosystem N retention
<ol> <li><span>Low available soil nitrogen (N) limits plant productivity in alpine regions, and alpine plants thus resorb and reallocate N from senescing tissues to conserve this limited N during the nongrowing season. However, the destination and extent of N redistribution during plant senescence among above- and below-ground organs, let alone other processes of translocation outside of plants and into the soil components, remain poorly understood. </span></li> <li><span>Utilizing the <sup>15</sup>N stable isotope as a tracer, we quantified N redistribution among above- and below-ground plant organs and different soil components during senescence in an alpine meadow ecosystem, and explored the relationship between <sup>15</sup>N among plant-soil N pools with seasonal fluctuations of plant functional traits.</span></li> <li><span>We found a substantial depletion of <sup>15</sup>N in fine roots (-40% ± 2.8%) and aboveground tissues (-51% ± 5.1%), and an enhanced <sup>15</sup>N storage primarily in coarse roots (+79% ± 27%) and soil organic matter (+37% ± 10%) during plant senescence. In parallel, we observed a temporal variation in plant functional traits, representing a shift from more acquisitive to more conservative strategies as the growing season ends, such as higher coarse root N and coarse root to fine root ratio. The seasonal trait variations were highly correlated with the <sup>15</sup>N retention in coarse roots and soil organic matter. Particularly, <sup>15</sup>N retention in particulate and mineral-associated organic matter increased by 30% ± 12% and 24% ± 9%, respectively, suggesting a potential pathway through which fine root and microbial mortality contribute to <sup>15</sup>N redistribution into soil N pools during senescence.</span></li> <li> <span><em>Synthesis</em>. </span><span>N redistribution and seasonal plant trait fluctuation facilitate plant N conservation and ecosystem N retention in the alpine system. This study suggests a coupled aboveground-belowground N conserving strategy that may optimize the temporal coupling between plant N demand and ecosystem N supply in N-limited alpine ecosystems. </span> </li> </ol>
Data from: Environmental filtering of macroinvertebrate traits influences ecosystem functioning in a large river floodplain
<p>The Biodiversity-Ecosystem Function hypothesis postulates that higher biodiversity is correlated with faster ecosystem process rates and increased ecosystem stability in fluctuating environments. Exhibiting high spatio-temporal habitat diversity, floodplains are highly productive ecosystems, supporting communities that are naturally resilient and highly diverse. </p> <p>We examined linkages among floodplain wetland habitats, invertebrate communities and their associated traits, and ecosystem function across 60 sites within the floodplain wetlands of the lower Wolastoq | Saint John River, New Brunswick, using structural equation modelling and Threshold Indicator Taxa ANalysis (TITAN2). </p> <p>We identified key environmental filters structuring invertebrate communities, by linking increased niche differentiation through shoreline change, flood pulse dynamics, and macrophyte bed complexity with increased taxa and functional diversity. </p> <p>Examination of traits linked to ecosystem functions revealed that more resilient wetlands with balance between primary productivity and decomposition as carbon sources were associated with greater functional evenness and richness, while habitat patches with elevated decomposition rates had lower functional richness, reflecting a simplified, more disturbed habitat. </p> <p>While our more complex overarching SEM model was ultimately compromised by an overspecified number of pathways, our results nevertheless are indicative of a divergence between wetland and riverine ecosystems in their relationships linking biodiversity and ecosystem function, illustrating how to define ecosystem health in wetland habitats, and demonstrating how critical functions support healthy wetland habitats by providing increased resilience to disturbance.</p>
Harnessing interactions between traits and the environment to improve predictions of ecosystem functioning
<p>The data correspond to the manuscript entitled "Harnessing interactions between traits and the environment to improve predictions of ecosystem functioning". Data needed to reproduce the figure 2 about springtails colonisation of defaunated soil blocks, from two different environments (forest or meadow), with the springtail species classified according to the supposed dispersal ability. S<span>pecies with long legs and antennae, a well-developed jumping apparatus (furcula), and a complete visual apparatus were considered to be able to disperse more rapidly on their own and were thus categorized as “fast” dispersers. Other species with reduced locomotor and vision organs were categorized as “slow” dispersers </span><span>(Ponge <em>et al.</em> 2006a)</span><span>. </span></p> <p><span>The "number of individuals" corresponds to the number of individuals found in each defaunated soil block after one week in the initial data set (Auclarc et al., 2009).</span></p> <p><span>Ponge J-F, Dubs F, Gillet S, et al. 2006a. Decreased biodiversity in soil springtail communities: the importance of dispersal and landuse history in heterogeneous landscapes. </span>Soil Biol Biochem 38: 1158–61.</p> <p><span>Auclerc A, Ponge JF, Barot S, and Dubs F. 2009. Experimental assessment of habitat preference and dispersal ability of soil springtails. </span>Soil Biol Biochem 41: 1596–604.</p>
What's the matter in phytoplankton? Highlighting the importance of stoichiometric traits in lake ecosystem models
<p>Code to run lake ecosystem simulations for Woodstoich 5 paper: <strong><em>What’s the matter in phytoplankton? Highlighting the importance of stoichiometric traits in lake ecosystem models</em></strong></p> <p> </p>
Data for the article: Coupling of leaf elemental traits with root fungal community composition reveals a plant resource acquisition strategy in a desert ecosystem
<p><em>Purpose</em>: Plant-associated microbes enhance nutrient access and stress tolerance of the host species, and therefore, are crucial for plant traits and resource strategies. However, the links between aboveground plant traits and belowground microbes related to plant resource strategies under stressful conditions remain poorly understood.</p> <p><em>Methods</em>: We tested the relationships between leaf traits linked to water (carbon isotopic composition, δ<sup>13</sup>C) and nutrient use (elemental concentrations and stoichiometry) with microbial compositions in roots and rhizospheres of two dominant species (<em>Artemisia ordosica</em> and <em>Leymus secalinus</em>) in the Mu Us Desert, northern China.</p> <p><em>Results</em>: <em>L. secalinus</em> exhibited higher Mg and Mn concentrations, N:P ratios, stoichiometric flexibility, and root fungi:bacteria ratios, but lower foliar K and Ca concentrations and δ<sup>13</sup>C values than <em>A. ordosica</em>. The leaf N:P of <em>L. secalinus</em> increased with the root fungi:bacteria ratios, whereas the leaf N:P of <em>A. ordosica</em> decreased with the root fungi:bacteria ratios. The plant elemental levels (P, N, K, Ca, Mn, and δ<sup>13</sup>C) of <em>L. secalinus</em> but not <em>A. ordosica</em> were significantly related to their root fungal composition. Additionally, the random forest model identified four key fungal families in predicting leaf elemental traits for both plant species.</p> <p><em>Conclusion</em>: The results suggested tight coupling and coordination between leaf elemental traits and root microbial compositions (especially fungal communities) related to plant resource acquisition strategies. By regulating aboveground and belowground feedback loops through trait flexibility and root microbial compositions, the studied plant species can sustain their resource strategies under stressful environmental conditions.</p>
Effects of plant traits and ecosystem properties on wave attenuation and soil carbon content
<p><span>Understanding</span><span> the</span><span> relationships among the environment, species traits and ecosystem properties is important </span><span>for developing</span><span> management measures </span><span>that optimize</span><span> the delivery of ecosystem services (</span><span>ESs</span><span>). Here, we identify the most important relationships responsible for the delivery of two key </span><span>ESs</span><span> provided by tidal marshes: (1) nature-based shoreline protection through wave attenuation and (2) mitigation of climate change through soil carbon storage. In two tidal zones below and above the mean high water (MHW, Elbe Estuary, Germany) level, we measured environmental parameters, such as soil salinity and inundation, as well as plant traits representing adaptations to hydrodynamic stress and strongly influencing decomposition rates.</span></p> <p><span>Multiple linear regression</span> <span>results showed that wave attenuation rates were positively related to aboveground community biomass and stem bending resistance, and soil organic carbon was positively related to stem-specific density (below the MHW level). In the tidal zone above the MHW level, soil carbon density was governed by inundation duration and decomposition rates.</span></p> <p><span>Our study highlights that (1) ES</span> <span>delivery is not equally spread across tidal marshes and (2) ecosystem management should stimulate the development and persistence of habitat diversity (here</span><span>,</span><span> low and high marsh zones)</span> <span>to maximize ES delivery potential. Securing the delivery of the two studied ESs under climate change will depend on providing suitable (</span><span>landward</span><span>) space to sustain the functioning of the two marsh zones. In the studied marshes, these services are highly dependent on a few species (i.e., wave attenuation on <em>Schoenoplectus tabernaemontani</em> and <em>Bolboschoenus maritimus</em> and carbon storage on <em>Phragmites australis</em>)</span><span>,</span><span> and as such</span><span>,</span><span> current and future ESs strongly depend on specific species' responses to changing environmental conditions.</span></p>
Ecosystem stability is determined by plant defense functional traits and population stability under mowing in a semi-arid temperate steppe
<ol> <li><span>As a common grassland management practice in many high-latitude regions worldwide, mowing has great impacts on grassland functioning and stability. Species richness, species asynchrony and species stability have been suggested as central in responses to environmental change. Mowing can evoke plant defense systems due to physical damages to plants. However, no studies have comprehensively evaluated the role of plant defense functional traits, species richness, species asynchrony and stability in ecosystem functioning under mowing regimes across time-scales. </span></li> <li> <span>In the present study, we set up short-term (4-years) and long-term (16-years) mowing experiments with three stubble heights (control, 10 cm, 2 cm) in a temperate steppe of Inner Mongolia. We investigated the effects of mowing-induced changes in distribution metrics associated with plant defense traits, i.e. mean, variance, skewness and kurtosis of trait distribution, on ecosystem stability of grassland communities using structural equation modeling.</span> </li> <li><span>We found that grassland ecosystem stability was enhanced by increasing mowing duration and decreasing stubble height. Mowing-induced increases in abundance and diversity of plant defense traits contributed to greater ecosystem stability by enhancing species asynchrony and population stability. Moreover, we found that mowing enhanced the abundance and diversity of plant defense traits of dominant species and contributed to population stability and species asynchrony, thus enhancing temporal stability of grassland ecosystems. </span></li> <li><span>These results demonstrate the important roles of plant defense traits in maintaining stability of grasslands under mowing, and highlight that, in addition to species richness, asynchrony and population stability, plant functional defense trait act in stabilizing ecosystem functions under human-induced environmental changes.</span></li> </ol>
Data from: Cyanobacterial colonization on epilithic mosses in degraded karst ecosystem: The role of moss traits and environmental factors
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Data from: Species interactions and environmental context affect intraspecific behavioural trait variation and ecosystem function
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Data for the article: Coupling of leaf elemental traits with root fungal community composition reveals a plant resource acquisition strategy in a desert ecosystem
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