cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3564111
title: Supplement 2. Mathematical code, written in the program Matlab, for conducting the California MPA case study analysis.

description: File List <i>Short-term case-study (folder v9 ga NPV fullN fix1)</i> BinaryTabuMonteCarlo_PointLimit.m (MD5: 069b0975e3970338bc17f079a53b895a) BinaryTabuMonteCarlo.m (MD5: ab10685d98a5f80af5d52bebb3af36cc) connect_RedSeaUrchin.mat (MD5: 3dd2aa330869182d45bcc1e7ac4ce1b3) Fleet_v1.m (MD5: 6245a8898a58c02416f687f4463c2013) MOPmodel_loop1.m (MD5: dd0ab2893f60679adf5ddbc75994b958) MOPmodel2.m (MD5: 060cfc23c503344f615618d7fae97f6f) MPA_EF_v1.m (MD5: afaaa7bd17e462c105a5c4696478dd3c) OptFsum.m (MD5: 1c52a9cfa4e6f9f6adaa91b8e17331d6) Patches.mat (MD5: 942ceb31cde9277847f9e61b6fac1a3f) Payoff_Conservation_EFvalue_STATIC1.m (MD5: 884aff36cbea043067de7b42f1efc64c) Payoff_Conservation_EFvalue_v1.m (MD5: 8f4304eff81d9ac766bebb45311cbe7a) STATIC1_v1.m (MD5: baa7296232d57c47d1f3f661b55e8ec6) tuneAlphaCR.m (MD5: 72fc5bac58ddd4daf48836e9ea8a264b) tuneRmax.m (MD5: 61e855f083d88cd6c53cba18d8b6f78f) urchinHab135.mat (MD5: b07077150d5ea4733c80f2ebc65b668a) wapr.m (MD5: 19b797c30b11aba20b390bb03054b234) <i>Long-term case-study (folder v9 ga T100)</i> BinaryTabuMonteCarlo_PointLimit.m (MD5: 069b0975e3970338bc17f079a53b895a) BinaryTabuMonteCarlo.m (MD5: ab10685d98a5f80af5d52bebb3af36cc) connect_RedSeaUrchin.mat (MD5: 3dd2aa330869182d45bcc1e7ac4ce1b3) Fleet_v1.m (MD5: 6245a8898a58c02416f687f4463c2013) MOPmodel_loop1.m (MD5: 15378bd64be805454b33d3ea4ae848d0) MOPmodel2.m (MD5: b857cafc564ea35043e0701458d9fd8f) MPA_EF_v1.m (MD5: afaaa7bd17e462c105a5c4696478dd3c) OptFsum.m (MD5: 1c52a9cfa4e6f9f6adaa91b8e17331d6) Patches.mat (MD5: 942ceb31cde9277847f9e61b6fac1a3f) Payoff_Conservation_EFvalue_STATIC1.m (MD5: 884aff36cbea043067de7b42f1efc64c) Payoff_Conservation_EFvalue_v1.m (MD5: 8f4304eff81d9ac766bebb45311cbe7a) STATIC1_v1.m (MD5: 9572ae1a22019a66d93f3d4644d543d1) tuneAlphaCR.m (MD5: 72fc5bac58ddd4daf48836e9ea8a264b) tuneRmax.m (MD5: 61e855f083d88cd6c53cba18d8b6f78f) urchinHab135.mat (MD5: b07077150d5ea4733c80f2ebc65b668a) wapr.m (MD5: 19b797c30b11aba20b390bb03054b234) Description 1. Open Matlab<br> 2. Navigate to the appropriate directory<br> 2a. For the short-term case study analysis, navigate into the folder "v9 ga NPV fullN fix1"<br> 2b. For the long-term case study analysis, navigate into the folder "v9 ga T100" (Note: running this code takes ~15 days on a standard desktop computer)<br> 3. Open the file MOPmodel_loop1.m in Matlab and run it<br> 4. When complete, the analysis will produce figures of the results and save the results as "data_save_NPV" (for the short-term analysis) or "data_save_equil" (for the long-term analysis) Questions? Contact<br> | Crow White, Ph.D.<br> | Assistant Professor<br> | Biological Sciences Department<br> | California Polytechnic State University<br> | San Luis Obispo, CA 93407
DOI: 10.6084/m9.figshare.3564111.v1
title: Supplement 2. Mathematical code, written in the program Matlab, for conducting the California MPA case study analysis.

description: File List <i>Short-term case-study (folder v9 ga NPV fullN fix1)</i> BinaryTabuMonteCarlo_PointLimit.m (MD5: 069b0975e3970338bc17f079a53b895a) BinaryTabuMonteCarlo.m (MD5: ab10685d98a5f80af5d52bebb3af36cc) connect_RedSeaUrchin.mat (MD5: 3dd2aa330869182d45bcc1e7ac4ce1b3) Fleet_v1.m (MD5: 6245a8898a58c02416f687f4463c2013) MOPmodel_loop1.m (MD5: dd0ab2893f60679adf5ddbc75994b958) MOPmodel2.m (MD5: 060cfc23c503344f615618d7fae97f6f) MPA_EF_v1.m (MD5: afaaa7bd17e462c105a5c4696478dd3c) OptFsum.m (MD5: 1c52a9cfa4e6f9f6adaa91b8e17331d6) Patches.mat (MD5: 942ceb31cde9277847f9e61b6fac1a3f) Payoff_Conservation_EFvalue_STATIC1.m (MD5: 884aff36cbea043067de7b42f1efc64c) Payoff_Conservation_EFvalue_v1.m (MD5: 8f4304eff81d9ac766bebb45311cbe7a) STATIC1_v1.m (MD5: baa7296232d57c47d1f3f661b55e8ec6) tuneAlphaCR.m (MD5: 72fc5bac58ddd4daf48836e9ea8a264b) tuneRmax.m (MD5: 61e855f083d88cd6c53cba18d8b6f78f) urchinHab135.mat (MD5: b07077150d5ea4733c80f2ebc65b668a) wapr.m (MD5: 19b797c30b11aba20b390bb03054b234) <i>Long-term case-study (folder v9 ga T100)</i> BinaryTabuMonteCarlo_PointLimit.m (MD5: 069b0975e3970338bc17f079a53b895a) BinaryTabuMonteCarlo.m (MD5: ab10685d98a5f80af5d52bebb3af36cc) connect_RedSeaUrchin.mat (MD5: 3dd2aa330869182d45bcc1e7ac4ce1b3) Fleet_v1.m (MD5: 6245a8898a58c02416f687f4463c2013) MOPmodel_loop1.m (MD5: 15378bd64be805454b33d3ea4ae848d0) MOPmodel2.m (MD5: b857cafc564ea35043e0701458d9fd8f) MPA_EF_v1.m (MD5: afaaa7bd17e462c105a5c4696478dd3c) OptFsum.m (MD5: 1c52a9cfa4e6f9f6adaa91b8e17331d6) Patches.mat (MD5: 942ceb31cde9277847f9e61b6fac1a3f) Payoff_Conservation_EFvalue_STATIC1.m (MD5: 884aff36cbea043067de7b42f1efc64c) Payoff_Conservation_EFvalue_v1.m (MD5: 8f4304eff81d9ac766bebb45311cbe7a) STATIC1_v1.m (MD5: 9572ae1a22019a66d93f3d4644d543d1) tuneAlphaCR.m (MD5: 72fc5bac58ddd4daf48836e9ea8a264b) tuneRmax.m (MD5: 61e855f083d88cd6c53cba18d8b6f78f) urchinHab135.mat (MD5: b07077150d5ea4733c80f2ebc65b668a) wapr.m (MD5: 19b797c30b11aba20b390bb03054b234) Description 1. Open Matlab<br> 2. Navigate to the appropriate directory<br> 2a. For the short-term case study analysis, navigate into the folder "v9 ga NPV fullN fix1"<br> 2b. For the long-term case study analysis, navigate into the folder "v9 ga T100" (Note: running this code takes ~15 days on a standard desktop computer)<br> 3. Open the file MOPmodel_loop1.m in Matlab and run it<br> 4. When complete, the analysis will produce figures of the results and save the results as "data_save_NPV" (for the short-term analysis) or "data_save_equil" (for the long-term analysis) Questions? Contact<br> | Crow White, Ph.D.<br> | Assistant Professor<br> | Biological Sciences Department<br> | California Polytechnic State University<br> | San Luis Obispo, CA 93407
DOI: 10.6084/m9.figshare.3564108
title: Appendix A. List of isolates of the fungal pathogen Seiridium cardinale used to study traits facilitating invasion.

description: List of isolates of the fungal pathogen Seiridium cardinale used to study traits facilitating invasion.
DOI: 10.6084/m9.figshare.3564108.v1
title: Appendix A. List of isolates of the fungal pathogen Seiridium cardinale used to study traits facilitating invasion.

description: List of isolates of the fungal pathogen Seiridium cardinale used to study traits facilitating invasion.
DOI: 10.6084/m9.figshare.3564105
title: Appendix B. Three boxplots comparing phenotypic trait measures between populations; comparisons correspond to tests 1–3 as shown in Fig. 1 in text.

description: Three boxplots comparing phenotypic trait measures between populations; comparisons correspond to tests 1–3 as shown in Fig. 1 in text.
DOI: 10.6084/m9.figshare.3564105.v1
title: Appendix B. Three boxplots comparing phenotypic trait measures between populations; comparisons correspond to tests 1–3 as shown in Fig. 1 in text.

description: Three boxplots comparing phenotypic trait measures between populations; comparisons correspond to tests 1–3 as shown in Fig. 1 in text.
DOI: 10.6084/m9.figshare.3564102
title: Appendix C. Three figures with observed QST – FST values plotted against simulated null distributions for expected values under selective neutrality; comparisons correspond to tests 1–3 as shown in Fig. 1 in text.

description: Three figures with observed QST – FST values plotted against simulated null distributions for expected values under selective neutrality; comparisons correspond to tests 1–3 as shown in Fig. 1 in text.
DOI: 10.6084/m9.figshare.3564102.v1
title: Appendix C. Three figures with observed QST – FST values plotted against simulated null distributions for expected values under selective neutrality; comparisons correspond to tests 1–3 as shown in Fig. 1 in text.

description: Three figures with observed QST – FST values plotted against simulated null distributions for expected values under selective neutrality; comparisons correspond to tests 1–3 as shown in Fig. 1 in text.
DOI: 10.6084/m9.figshare.3564099
title: Appendix A. Basal area increment, ring-width indices, soil chemistry data, and climate data across all sites.

description: Basal area increment, ring-width indices, soil chemistry data, and climate data across all sites.
DOI: 10.6084/m9.figshare.3564096
title: Appendix A. AOA and AOB community analysis methods.

description: AOA and AOB community analysis methods.
DOI: 10.6084/m9.figshare.3564093
title: Appendix A. A table showing validation sites collected from published literature, figures showing spatial patterns of precipitation, temperature, solar radiation, and specific humidity trends from 2000 to 2011, and comparison of spatial patterns of WUE in 2010 from Xiao et al. (unpublished manuscript), Jung et al. (2011), and our study.

description: A table showing validation sites collected from published literature, figures showing spatial patterns of precipitation, temperature, solar radiation, and specific humidity trends from 2000 to 2011, and comparison of spatial patterns of WUE in 2010 from Xiao et al. (unpublished manuscript), Jung et al. (2011), and our study.
DOI: 10.6084/m9.figshare.3564096.v1
title: Appendix A. AOA and AOB community analysis methods.

description: AOA and AOB community analysis methods.
DOI: 10.6084/m9.figshare.3564093.v1
title: Appendix A. A table showing validation sites collected from published literature, figures showing spatial patterns of precipitation, temperature, solar radiation, and specific humidity trends from 2000 to 2011, and comparison of spatial patterns of WUE in 2010 from Xiao et al. (unpublished manuscript), Jung et al. (2011), and our study.

description: A table showing validation sites collected from published literature, figures showing spatial patterns of precipitation, temperature, solar radiation, and specific humidity trends from 2000 to 2011, and comparison of spatial patterns of WUE in 2010 from Xiao et al. (unpublished manuscript), Jung et al. (2011), and our study.
DOI: 10.6084/m9.figshare.3564090
title: Appendix A. Summary of the categorical, morphological, and physical attributes by guild.

description: Summary of the categorical, morphological, and physical attributes by guild.
DOI: 10.6084/m9.figshare.3564087
title: Appendix B. Correlations between species’ life history traits and the principal coordinate analysis ordination.

description: Correlations between species’ life history traits and the principal coordinate analysis ordination.
DOI: 10.6084/m9.figshare.3564084
title: Appendix C. Goodness-of-fit statistics for environmental filters and riparian guilds fit to the NMDS ordination solution for guild assemblages.

description: Goodness-of-fit statistics for environmental filters and riparian guilds fit to the NMDS ordination solution for guild assemblages.
DOI: 10.6084/m9.figshare.3564084.v1
title: Appendix C. Goodness-of-fit statistics for environmental filters and riparian guilds fit to the NMDS ordination solution for guild assemblages.

description: Goodness-of-fit statistics for environmental filters and riparian guilds fit to the NMDS ordination solution for guild assemblages.
DOI: 10.6084/m9.figshare.3564081
title: Appendix D. Alternative plausible generalized linear models as determined by AIC.

description: Alternative plausible generalized linear models as determined by AIC.
DOI: 10.6084/m9.figshare.3564081.v1
title: Appendix D. Alternative plausible generalized linear models as determined by AIC.

description: Alternative plausible generalized linear models as determined by AIC.
DOI: 10.6084/m9.figshare.3564078
title: Appendix E. Map of combinations of guild assemblages across the Columbia and Missouri River basins showed that a majority of reaches contained all possible guilds.

description: Map of combinations of guild assemblages across the Columbia and Missouri River basins showed that a majority of reaches contained all possible guilds.
DOI: 10.6084/m9.figshare.3564078.v1
title: Appendix E. Map of combinations of guild assemblages across the Columbia and Missouri River basins showed that a majority of reaches contained all possible guilds.

description: Map of combinations of guild assemblages across the Columbia and Missouri River basins showed that a majority of reaches contained all possible guilds.
DOI: 10.6084/m9.figshare.3564075
title: Supplement 1. R scripts for conducting the statistical analyses described in the methods.

description: File List extremeevent_R_code.txt (MD5: b917d04425e1a22593aa989e61b01ae5) Description The code in extremeevant_R_code.txt allows for statistical analysis of soil properties and vegetation cover change for the precipitation experiment described in the manuscript using R program. The file contains code for the blocked anovas, linear mixed-effect models, and paired <i>t</i> tests used in the manuscript.
DOI: 10.6084/m9.figshare.3564075.v1
title: Supplement 1. R scripts for conducting the statistical analyses described in the methods.

description: File List extremeevent_R_code.txt (MD5: b917d04425e1a22593aa989e61b01ae5) Description The code in extremeevant_R_code.txt allows for statistical analysis of soil properties and vegetation cover change for the precipitation experiment described in the manuscript using R program. The file contains code for the blocked anovas, linear mixed-effect models, and paired <i>t</i> tests used in the manuscript.
DOI: 10.6084/m9.figshare.3564072
title: Appendix A. Tables and figures regarding Tibetan antelope population size and dynamics.

description: Tables and figures regarding Tibetan antelope population size and dynamics.
DOI: 10.6084/m9.figshare.3564069
title: Supplement 1. R script conducting the simulation under an Anthropogenic Allee Effect scenario described in the main text.

description: File List simulations_AAE.R (MD5: 07353083dc23901674bf0a4e1a66451c) Description The code included simulations_AAE.R allow conducting the analyses of the Tibetan antelope population taking into account an Anthropogenic Allee Effect. All other script that were used in our analyses are available on request.
DOI: 10.6084/m9.figshare.3564069.v1
title: Supplement 1. R script conducting the simulation under an Anthropogenic Allee Effect scenario described in the main text.

description: File List simulations_AAE.R (MD5: 07353083dc23901674bf0a4e1a66451c) Description The code included simulations_AAE.R allow conducting the analyses of the Tibetan antelope population taking into account an Anthropogenic Allee Effect. All other script that were used in our analyses are available on request.
DOI: 10.6084/m9.figshare.3564066
title: Appendix A. A table giving P values of pairwise exact multinomial tests of differences in the physiological age distribution of An. gambiae recorded among monthly house-catches, and figures describing predicted An. gambiae survival at age (Sa), and Scaled individual vectorial capacity (Ci), the shape of ageing, (L/Λ), and age-dependent lab and wild An. gambiae mortality and the age-distribution model estimate, shown for increasing values of EIP (A:10, B:20, C:30 days).

description: A table giving P values of pairwise exact multinomial tests of differences in the physiological age distribution of An. gambiae recorded among monthly house-catches, and figures describing predicted An. gambiae survival at age (Sa), and Scaled individual vectorial capacity (Ci), the shape of ageing, (L/Λ), and age-dependent lab and wild An. gambiae mortality and the age-distribution model estimate, shown for increasing values of EIP (A:10, B:20, C:30 days).
DOI: 10.6084/m9.figshare.3564066.v1
title: Appendix A. A table giving P values of pairwise exact multinomial tests of differences in the physiological age distribution of An. gambiae recorded among monthly house-catches, and figures describing predicted An. gambiae survival at age (Sa), and Scaled individual vectorial capacity (Ci), the shape of ageing, (L/Λ), and age-dependent lab and wild An. gambiae mortality and the age-distribution model estimate, shown for increasing values of EIP (A:10, B:20, C:30 days).

description: A table giving P values of pairwise exact multinomial tests of differences in the physiological age distribution of An. gambiae recorded among monthly house-catches, and figures describing predicted An. gambiae survival at age (Sa), and Scaled individual vectorial capacity (Ci), the shape of ageing, (L/Λ), and age-dependent lab and wild An. gambiae mortality and the age-distribution model estimate, shown for increasing values of EIP (A:10, B:20, C:30 days).
DOI: 10.6084/m9.figshare.3564063
title: Supplement 1. Summary of Akaike information criteria (AIC) for the constant and Gompertz mortality models for all Monte Carlo realizations.

description: File List SuppTable1_MC_AIC.csv (MD5: 5337de0f2586ea2edf03a5050d4e736c) Description Summary of Akaike information criteria (AIC) for the constant and Gompertz mortality models for all Monte Carlo realizations.
DOI: 10.6084/m9.figshare.3564063.v1
title: Supplement 1. Summary of Akaike information criteria (AIC) for the constant and Gompertz mortality models for all Monte Carlo realizations.

description: File List SuppTable1_MC_AIC.csv (MD5: 5337de0f2586ea2edf03a5050d4e736c) Description Summary of Akaike information criteria (AIC) for the constant and Gompertz mortality models for all Monte Carlo realizations.
DOI: 10.6084/m9.figshare.3564060
title: Appendix A. Bioclimatic variables of sea turtle Regional Management Units.

description: Bioclimatic variables of sea turtle Regional Management Units.
DOI: 10.6084/m9.figshare.3564057
title: Supplement 1. Raw data used for conducting occupancy analyses described in the main text.

description: File List WilsonES15-00250_Data1X.csv (MD5: 4260aa42bde61b71cf63be033ad3b3ca) WilsonES15-00250_Data2X.csv (MD5: 089f465ab6a3e0adb8f4a8874b5e2fd9) WilsonES15-00250_DataHX.csv (MD5: 8cffdfcf96e690cfe878ab4079197845) WilsonES15-00250_DataQX.csv (MD5: e7adfb3c14eac758493cee316d8fdedc) Description The data files contain the raw data used for conducting occupancy analyses described in the main text. The grid scale is denoted in the file name. Missing values are denoted by the code -999, which was converted to NA for analysis. The fields are defined as follows. <b>Unit</b>: Sample unit number <b>V1</b>: Detection/Non-detection data for the first visit. 1 = detection, 0 = non-detection. <b>V2</b>: Detection/Non-detection data for the second visit. 1 = detection, 0 = non-detection. <b>V3</b>: Detection/Non-detection data for the third visit. 1 = detection, 0 = non-detection. <b>Date1</b>: Julien day of the first visit. <b>Date2</b>: Julien day of the second visit. <b>Date3</b>: Julien day of the third visit. <b>Elev</b>: Mean unit elevation (meters). <b>Northness</b>: Mean unit cosine-transformed aspect (unitless). North = 1, South = -1, East and West = 0. <b>Slope</b>: Mean unit slope (degrees)
DOI: 10.6084/m9.figshare.3564060.v1
title: Appendix A. Bioclimatic variables of sea turtle Regional Management Units.

description: Bioclimatic variables of sea turtle Regional Management Units.
DOI: 10.6084/m9.figshare.3564054
title: Appendix A. Study site descriptions, environmental conditions, and monitoring efforts for ten populations of Greater and Lesser Prairie-Chickens in the Great Plains.

description: Study site descriptions, environmental conditions, and monitoring efforts for ten populations of Greater and Lesser Prairie-Chickens in the Great Plains.
DOI: 10.6084/m9.figshare.3564054.v1
title: Appendix A. Study site descriptions, environmental conditions, and monitoring efforts for ten populations of Greater and Lesser Prairie-Chickens in the Great Plains.

description: Study site descriptions, environmental conditions, and monitoring efforts for ten populations of Greater and Lesser Prairie-Chickens in the Great Plains.
DOI: 10.6084/m9.figshare.3564051
title: Appendix B. Population level β coefficients from resource utilization function models relating space use by female prairie chickens to distance to road.

description: Population level β coefficients from resource utilization function models relating space use by female prairie chickens to distance to road.
DOI: 10.6084/m9.figshare.3564048
title: Appendix A. A figure showing distribution of Phyla canescens in South America (modified from Kennedy, 1992).

description: A figure showing distribution of Phyla canescens in South America (modified from Kennedy, 1992).
DOI: 10.6084/m9.figshare.3564051.v1
title: Appendix B. Population level β coefficients from resource utilization function models relating space use by female prairie chickens to distance to road.

description: Population level β coefficients from resource utilization function models relating space use by female prairie chickens to distance to road.
DOI: 10.6084/m9.figshare.3564048.v1
title: Appendix A. A figure showing distribution of Phyla canescens in South America (modified from Kennedy, 1992).

description: A figure showing distribution of Phyla canescens in South America (modified from Kennedy, 1992).
DOI: 10.6084/m9.figshare.3564042
title: Appendix B. A figure showing a phylogenetic analysis of Phyla samples collected by the project team and collaborators from Australia, France, and South America.

description: A figure showing a phylogenetic analysis of Phyla samples collected by the project team and collaborators from Australia, France, and South America.
DOI: 10.6084/m9.figshare.3564042.v1
title: Appendix B. A figure showing a phylogenetic analysis of Phyla samples collected by the project team and collaborators from Australia, France, and South America.

description: A figure showing a phylogenetic analysis of Phyla samples collected by the project team and collaborators from Australia, France, and South America.
DOI: 10.6084/m9.figshare.3564039
title: Appendix C. Supporting information of methods.

description: Supporting information of methods.
DOI: 10.6084/m9.figshare.3564039.v1
title: Appendix C. Supporting information of methods.

description: Supporting information of methods.
DOI: 10.6084/m9.figshare.3564036
title: Appendix D. A table showing power analysis of microsatellite data with POWSIM (Ryman, 2011, User’s manual of POWSIM, a computer program for assessing statistical power when testing for genetic homogeneity, Version 4.1).

description: A table showing power analysis of microsatellite data with POWSIM (Ryman, 2011, User’s manual of POWSIM, a computer program for assessing statistical power when testing for genetic homogeneity, Version 4.1).
DOI: 10.6084/m9.figshare.3564033
title: Appendix E. A figure showing assignment of the invasive individuals or clusters to the uppermost level South American clusters with (a) STRUCTURE and (b) neighbor-joining tree construction (b).

description: A figure showing assignment of the invasive individuals or clusters to the uppermost level South American clusters with (a) STRUCTURE and (b) neighbor-joining tree construction (b).
DOI: 10.6084/m9.figshare.3564033.v1
title: Appendix E. A figure showing assignment of the invasive individuals or clusters to the uppermost level South American clusters with (a) STRUCTURE and (b) neighbor-joining tree construction (b).

description: A figure showing assignment of the invasive individuals or clusters to the uppermost level South American clusters with (a) STRUCTURE and (b) neighbor-joining tree construction (b).
DOI: 10.6084/m9.figshare.3564030
title: Appendix A. A table showing taxa recorded and included in summary connectance web, with literature documenting feeding links.

description: A table showing taxa recorded and included in summary connectance web, with literature documenting feeding links.
DOI: 10.6084/m9.figshare.3564027
title: Appendix A. Plant–soil feedbacks as drivers of succession: evidence from remnant and restored tallgrass prairies, supplementary tables and figures.

description: Plant–soil feedbacks as drivers of succession: evidence from remnant and restored tallgrass prairies, supplementary tables and figures.
DOI: 10.6084/m9.figshare.3564027.v1
title: Appendix A. Plant–soil feedbacks as drivers of succession: evidence from remnant and restored tallgrass prairies, supplementary tables and figures.

description: Plant–soil feedbacks as drivers of succession: evidence from remnant and restored tallgrass prairies, supplementary tables and figures.