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Spatio-temporal modelling of the effect of selected environmental and land-use factors on acid grassland vegetation

Journal of Plant Ecology 2022年第2期15卷 253-264页

作者： christian damgaard Department of Bioscience Aarhus UniversityVejlsøvej 258600 SilkeborgDenmark

Acid grasslands are threatened both by agricultural intensification with nutrient addition and increased livestock densities as well as by land *** order to understand and quantify the effect of selected environmental and land-use factors on the observed variation and changes in the vegetation of acid grasslands,large-scale spatial and temporal pin-point plant cover monitoring data are fitted in a structural equation *** important sources of measurement and sampling uncertainties have been included using a hierarchical model ***,uncertainties associated with the measurement and sampling are separated from the process uncertainty,which is important when generating ecological predictions that may feed into local conservation management ***,increasing atmospheric nitrogen deposition led to more grass-dominated acid grassland habitats at the expense of the cover of *** soils were relatively more acidic,and the effects of soil type on the vegetation include both direct effects of soil type and indirect effects mediated by the effect of soil type on soil *** soil type and soil pH affected the vegetation of acid *** though only a relatively small proportion of the temporal variation in cover was explained by the model,it would still be useful to quantify the uncertainties when using the model for generating local ecological predictions and adaptive management plans.

关键词： joint distribution of plant abundance spatial and temporal variation of cover hierarchical Bayesian models pin-point cover data structural equation modelling acid grassland vegetation

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Modeling the growth of individuals in crowded plant populations

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Journal of Plant Ecology 2008年第2期1卷 111-116页

作者： christian damgaard Jacob Weiner Department of Terrestrial Ecology National Environmental Research InstituteUniversity of AarhusDK-8600 SilkeborgDenmark Department of Ecology Faculty of Life SciencesUniversity of CopenhagenFrederiksbergDenmark and National Center for Ecological Analysis and SynthesisSanta BarbaraCA 93101-5504USA

Aims We present an improved model for the growth of individuals in plant populations experiencing *** Individuals grow sigmoidally according to the Birch model,which is similar to the more commonly used Richards model,but has the advantage that initial plant growth is always *** individual plant growth models are coupled so that there is a maximum total biomass for the *** effects of size-asymmetric competition are modeled with a parameter that reflects the size advantage that larger individual have over smaller *** fit the model to data on individual growth in crowded populations of Chenopodium *** Findings When individual plant growth curves were not coupled,there was a negative or no correlation between initial growth rate and final size,suggesting that competitive interactions were more important in determining final plant size than were plants’initial growth *** coupled growth equations fit the data better than individual,uncoupled growth models,even though the number of estimated parameters in the coupled competitive growth model was far fewer,indicating the importance of modeling competition and the degree of size-asymmetric growth explicitly.A quantitative understanding of stand development in terms of the growth of individuals,as altered by competition,is within reach.

关键词： Birch model growth curves plant competition Richards model size-asymmetric competition

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Early dynamics in plant community trait responses to a novel, more extreme hydrological gradient

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Journal of Plant Ecology 2019年第2期12卷 327-335页

作者： Andrea Oddershede Cyrille Violle Annette Baattrup-Pedersen Jens-christian Svenning christian damgaard Section for Plant and Insect Ecology Department of BioscienceAarhus UniversityVejlsøvej 25DK-8600 SilkeborgDenmark Section for Ecoinformatics&Biodiversity Department of BioscienceAarhus UniversityNy Munkegade 114DK-8000 Aarhus CDenmark CEFE UMR 5175 CNRS-Universitéde Montpellier-UniversitéPaul-Valéry MontpellierEPHE-1919 route de MendeF-34293 MontpellierCEDEX 5France Section for Stream and Wetland Ecology Department of BioscienceAarhus UniversityVejlsøvej 25DK-8600 SilkeborgDenmark

Aims For temperate regions such as Northern Europe,predicted climate change patterns include an increase in winter precipitation causing increased risk of flooding,whereas periods of droughts will become more frequent in *** aim of this study is to explore vari-ations in plant functional trait distributions along a hydrological gradient spanning from recurrent drought events to recurrent flood-ing-mimicking future precipitation *** The experiment was conducted in a controlled grassland experi-ment over a period of 3 years.A novel and more extreme hydro-logical regime was achieved by manipulating the flow of a nearby stream thereby creating a continuous hydrological gradient from flooding during winter to drought during *** commu-nity responses were recorded along this hydrological ***-weighted trait distribution changes along the gradient were described using null *** functional traits were con-sidered:seed mass,leaf dry matter content(LDMC),leaf area,leaf thickness,specific leaf area(SLA)and *** findings Over time,responses in plant functional traits changed at the community *** the study period consistent changes occurred in the mean trait value of several *** in relatively dry plots became dominated by species with water-conserving life strategies,represented by high seed mass and thick *** contrast,disturbance-resistant species(high leaf dry matter content)became dominant in flooded plots,indicating that persistence to flooding was the most important factor control-ling the functional structure in those ***,a high abundance of small-seeded species in flooded plots likely indicates higher frequency of species with higher dispersal ability through *** conclusion,plant traits are useful for predicting responses to climate change,but abrupt and extreme climate event may cause unexpected responses because they have no analog to previously more sta

关键词： functional diversity trait-environment relationship hydrology extreme events flooding

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The need for alternative plant species interaction models

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Journal of Plant Ecology 2021年第5期14卷 771-780页

作者： christian damgaard Jacob Weiner Department of Bioscience Aarhus UniversityVejlsovej 25DK-8600 SilkeborgDenmark Department of Plant and Environmental Sciences University of CopenhagenDK-1871 FrederiksbergDenmark

Aims The limitations of classical Lotka–Volterra models for analyzing and interpreting competitive interactions among plant species have become increasingly clear in recent *** of the problems that have been identified are(i)the absence of frequency-dependence,which is important for long-term coexistence of species,(ii)the need to take unmeasured(often unmeasurable)variables influencing individual performance into account(*** variation in soil nutrients or pathogens)and(iii)the need to separate measurement error from biological *** We modified the classical Lotka–Volterra competition models to address these *** fitted eight alternative models to pin-point cover data on Festuca ovina and Agrostis capillaris over 3 years in an herbaceous plant community in Denmark.A Bayesian modeling framework was used to ascertain whether the model amendments improve the performance of the models and increase their ability to predict community dynamics and to test *** Findings Inclusion of frequency-dependence and measurement error,but not unmeasured variables,improved model performance *** results emphasize the importance of comparing alternative models in quantitative studies of plant community *** by considering possible alternative models can we identify the forces driving community assembly and change,and improve our ability to predict the behavior of plant communities.

关键词： plant competition plant-plant interaction interspecific interaction model frequency-dependence unmeasured variables measurement uncertainty hierarchical modeling

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