This file contains the data used in the paper titled: "Environmental heterogeneity promotes regional coexistence through shifts in local competitive dominance."Abstract.Understanding plant competitive outcomes, driven by niche and fitness differences, requires exploring these differences across simultaneous changes in abiotic and biotic conditions, such as soil properties, mutualisms and natural enemies. Here, we combined coexistence theory with detailed field observations in an annual grassland over two consecutive years and in-silico simulations to assess changes in competitive outcomes, from coexistence to competitive exclusion, and from exclusion to priority effects. Our analysis shows that competitive exclusion is the most common outcome but with marked changes in the identity of the superior competitor under abiotic and biotic variation, highlighting the potential for regional coexistence. Herbivores were identified as the factor with the largest effect on the sensitivity of species pairs to shifts between coexistence and exclusion, although the effect size reflects sensitivity rather than the direction of change. Additionally, herbivores strongly influence the identity of the superior competitor, which can promote coexistence at larger spatial scales. Local coexistence was rarely predicted in our system. Finally, priority effects were mostly observed in the absence of a deterministic driver, as expected. Overall, our results suggest that while local coexistence is limited, species diversity can be maintained across larger spatial scales through shifts in competitive dominance mediated by multiple abiotic and biotic drivers.

A subset of a larger data set collected by the distributed grassland network Disturbance and Recovery Across Grasslands Network (DRAGNet). Grassland plant species percentage cover values are collected at the plot level across 40 sites of the network. This data covers the first four years of the experiment: the first pre-treatment year, followed by 3 years of treatments. Treatments applied during the experiment and captured in this data set include physical disturbance and nutrient additions.

This is the dataset and script used for the research manuscript entitled "Climate warming drives the breakdown of plant-pollinator mutualisms despite phenological matching"Authors: Natasha de Manincor, Alessandro Fisogni, Oscar Godoy, Nicole E. RaffertyCorresponding author: Natasha de Manincor, [email protected] The repository contains the following:Databee_abund_2022: bee abundancedata_bee_nest_pSEM: bee nesting success used for bee fitness pSEMdata_seed_germ_pSEM: seed germination success used for plant fitness pSEMflwrcount_temp2022: flower countimputed_temporal_vars_T: imputed temporal variables used for dynamic pSEMtemp_2022: temperaturestemp22_avg: average temperaturevars_tot_temp: average temperature for each treatment and dayvars_tot2022: raw bee and plant traits data used for imputationVWC_soil: soil moistureScriptdeManincor-et-al.2025_Warming_RScripts: scripts used for phenology and pSEM analyses

This is the dataset and script used for the research manuscript entitled "Climate warming drives the breakdown of plant-pollinator mutualisms despite phenological matching"Authors: Natasha de Manincor, Alessandro Fisogni, Oscar Godoy, Nicole E. RaffertyCorresponding author: Natasha de Manincor, [email protected] The repository contains the following:Databee_abund_2022: bee abundancedata_bee_nest_pSEM: bee nesting success used for bee fitness pSEMdata_seed_germ_pSEM: seed germination success used for plant fitness pSEMflwrcount_temp2022: flower countimputed_temporal_vars_T: imputed temporal variables used for dynamic pSEMtemp_2022: temperaturesvars_tot2022: raw bee and plant traits data used for imputationScriptdeManincor-et-al.2025_Warming_RScripts: scripts used for phenology and pSEM analyses

This file contains the data used in the paper titled: "Competitive outcomes change across environments to maintain species coexistence."Abstract.Plant competitive outcomes, driven by niche and fitness differences, have not been explored across simultaneous changes in abiotic and biotic conditions, such as soil properties, mutualisms and natural enemies. Here, we combined coexistence theory with detailed field observations in an annual grassland over two consecutive years and in-silico simulations to assess changes in competitive outcomes, from coexistence to competitive exclusion, and from exclusion to priority effects. Changes in the studied conditions promoted local competitive exclusion but with marked changes in the identity of the superior competitor. Coexistence was rarely predicted in our system although promoted by herbivore abundance, and priority effects were mostly observed in the absence of a deterministic driver. Our results show that coexistence theory predicts little coexistence at the local scale of plant interactions, and suggest that species diversity under complex natural conditions is maintained by changes in the superior competitor´s identity across larger scales.

This file contains the data used in the paper titled: "Competitive outcomes change across environments to maintain species coexistence."Abstract.Plant competitive outcomes, driven by niche and fitness differences, have not been explored across simultaneous changes in abiotic and biotic conditions, such as soil properties, mutualisms and natural enemies. Here, we combined coexistence theory with detailed field observations in an annual grassland over two consecutive years and in-silico simulations to assess changes in competitive outcomes, from coexistence to competitive exclusion, and from exclusion to priority effects. Changes in the studied conditions promoted local competitive exclusion but with marked changes in the identity of the superior competitor. Coexistence was rarely predicted in our system although promoted by herbivore abundance, and priority effects were mostly observed in the absence of a deterministic driver. Our results show that coexistence theory predicts little coexistence at the local scale of plant interactions, and suggest that species diversity under complex natural conditions is maintained by changes in the superior competitor´s identity across larger scales.

This is the dataset and script used for the research manuscript entitled "Climate warming drives the breakdown of plant-pollinator mutualisms despite phenological synchrony"Authors: Natasha de Manincor, Alessandro Fisogni, Oscar Godoy, Nicole E. RaffertyCorresponding author: Natasha de Manincor, [email protected] The repository contains the following:Databee_abund_2022: bee abundancedata_bee_nest_pSEM: bee nesting success used for bee fitness pSEMdata_seed_germ_pSEM: seed germination success used for plant fitness pSEMflwrcount_temp2022: flower countimputed_temporal_vars_T: imputed temporal variables used for dynamic pSEMtemp_2022: temperaturestemp22_avg: average temperaturevars_tot_temp: average temperature for each treatment and dayvars_tot2022: raw bee and plant traits data used for imputationVWC_soil: soil moistureScriptdeManincor-et-al.2025_Warming_RScripts: scripts used for phenology and pSEM analyses

evolution_cadmium_coexistenceThis material is a companion to the paper "Evolution in response to an abiotic stress shapes species coexistence"This information is also available in the git repository: https://github.com/irfragata/evolution_cadmium_coexistenceThe scripts available allow with the data set provided to replicate all the analyses done in the paper, as well as the figures.Inside each folder there is a ReadMe file explaining the different files and folder available. The general description of the folder is as follows:The Data folder contains the raw dataThe Code folder contains the scripts to perform the analysesThe Analyses folder contains intermediate outputs required for the analyses.The Plots folder contains the figures used in the manuscript (output from the code)The hml_files folder contains html files of the code and output of the main analyses and figures.Given that running the cxr package requires sometime, we provided the intermediate files used to generate the figure, but we also provide the code done to generate the files, to ensure the total reproducibility analyses.For the purpose of Open Access, a CC-BY 4.0 public copyright licence has been applied to the contents of this repository.

evolution_cadmium_coexistenceThis material is a companion to the paper "Evolution in response to an abiotic stress shapes species coexistence"This information is also available in the git repository: https://github.com/irfragata/evolution_cadmium_coexistenceThe scripts available allow with the data set provided to replicate all the analyses done in the paper, as well as the figures.Inside each folder there is a ReadMe file explaining the different files and folder available. The general description of the folder is as follows:The Data folder contains the raw dataThe Code folder contains the scripts to perform the analysesThe Analyses folder contains intermediate outputs required for the analyses.The Plots folder contains the figures used in the manuscript (output from the code)Given that running the cxr package requires sometime, we provided the intermediate files used to generate the figure, but we also provide the code done to generate the files, to ensure the total reproducibility analyses.For the purpose of Open Access, a CC-BY 4.0 public copyright licence has been applied to the contents of this repository.

This is the dataset and script used for the research manuscript entitled "Climate warming drives the breakdown of plant-pollinator mutualisms despite phenological synchrony"Authors: Natasha de Manincor, Alessandro Fisogni, Oscar Godoy, Nicole E. RaffertyCorresponding author: Natasha de Manincor, [email protected] The repository contains the following:Databee_abund_2022: bee abundancedata_bee_nest_pSEM: bee nesting success used for bee fitness pSEMdata_seed_germ_pSEM: seed germination success used for plant fitness pSEMflwrcount_temp2022: flower countimputed_temporal_vars_T: imputed temporal variables used for dynamic pSEMtemp_2022: temperaturestemp22_avg: average temperaturevars_tot_temp: average temperature for each treatment and dayvars_tot2022: raw bee and plant traits data used for imputationVWC_soil: soil moistureScriptdeManincor-et-al.2025_Warming_RScripts: scripts used for phenology and pSEM analyses