Productivity and diversity of annually harvested reconstructed prairie communities

Author(s): Farnaz Kordbacheh, Meghann Jarchow, Lydia English, Matt Liebman
Abstract:

Productivity and diversity of annually harvested reconstructed prairie communities database was compiled to test whether the long-term maintenance of biodiversity can be achieved alongside substantial productivity in fertilized mixed-species prairie. Using this database, we report how NPK fertilizer application, precipitation, and time affected the species composition and productivity of reconstructed prairie communities harvested annually as biofuel feedstocks over a nine-year period.
Three main datasets were used for the analyses conducted, each encompassed a part of the full picture. First, we used dataset_productivity_precipitation_diversity to evaluate the relationship between productivity and precipitation. We also used this file to run the Analysis of Variance (ANOVA) on productivity, species richness, Simpson’s evenness and Simpson’s diversity. Results of this analysis are shown in Figure 1 and figure 2 of our article. Further, we used dataset_species_cover for the ANOVA on the cover of individual plant species, cover of functional groups-i.e. C3 grasses, C4 grasses, the non-leguminous, the leguminous and cover of forbs partitioned by flowering time (see Table 2, Figure 3 and Figure 4). For creating a complementary picture from changes in species composition over time and treatment, we used dataset_species_proportional_cover for multivariate analyses- i.e. non-metric multidimensional Scaling (NMDS), Multi Response-Permutation Procedure (MRPP), and the matching of
ordination method (see Figure 5A and 5B). Usage of these datasets has no copyright or proprietary restrictions other than citation of the paper.

Funder: Leopold Center for Sustainable Agriculture
Award Title:
Conversion to perennial vegetation: Quantifying soil water regime, aeration, and implications for enhancing soil resilience to climate change.
Award Number: E2009-18
Keywords:
agricultural land management, bioenergy, biomass productivity, community ecology, ecology, fertilisers and agrochemical application, flowering phenology, nitrogen fertilization effects, nitrogen fertilizers, pollinators, prairie diversity, precipitation, reconstructed prairie, sustainable agricultural development, terrestrial ecology
Project (Abbreviated name):
COBS_Kordbacheh_prairie
Team: COBS
Geographic Location:
The experiment was conducted at the Iowa State University Agronomy and Agricultural Engineering South Reynoldson Research Farm located in Boone County, Iowa at the corner of 300th St. and Violet Ave.
Families:
Amaranthaceae, Apiaceae, Apocynaceae, Asteraceae, Chenopodiaceae, Commelinaceae, Euphorbiaceae, Fabaceae, Lamiaceae, Oxalidaceae, Plantaginaceae, Poaceae, Salicaceae, Solanaceae
Species:
Amaranthus retroflexus, Ambrosia artemisiifolia, Amorpha canescens, Andropogon gerardi, Asclepias syriaca, Asclepias tuberosa, Astragalus canadensis, Baptisia alba, Bromus inermis, Chamaecrista fasciculata, Chenopodium album, Cirsium arvense, Dalea purpur
Full Metadata:
COBS_Kordbacheh_prairie metadata.pdf (342.25 KB)
Data Table Column Names and Descriptions
Table nameColumn nameData typeUnitsColumn description
data.dataset_productivity_precipitation_diversityBlockfloatnumberBlocks containing established prairie vegetation (27m x 61m).
data.dataset_productivity_precipitation_diversityDiversityfloatNASimpson's diversity within each plot calculated as the summation of the squared value of the proportional abundance of the ith species in each plot (pi). Data were recorded in 2009-2011, 2014, 2015, and 2017. 
data.dataset_productivity_precipitation_diversityEvennessfloatNASimpson's evenness within each plot calculated as estimated Simpson's diversity divided by species richness per plot (S). Data were recorded in 2009-2011, 2014, 2015, and 2017.
data.dataset_productivity_precipitation_diversityPrecipitationintegermilliliterCumulative total precipitation (mm) from October of the previous year through September of each harvest year. Data were recorded for 9 years (2009-2017).
data.dataset_productivity_precipitation_diversityProductivityfloatkilogramPerHectareAnnually harvested biomass (kg ha-1) per plot. Data was recorded during 9 years (2009-2017). All plots had recorded values, except for one plot (2014, block 1, low-fertility)
data.dataset_productivity_precipitation_diversityRichnessfloatnumberSpecies richness within each plot. Data were recorded in 2009-2011, 2014, 2015, and 2017.
data.dataset_productivity_precipitation_diversityTreatmentstringNATreatments were unfertilized prairie which received no N, P or K (low-fertility) and fertilized prarie which received N,P, K (high-fertility). For more information see article.
data.dataset_productivity_precipitation_diversityYearintegernumberYear in which measurements were made.
data.dataset_productivity_precipitation_diversitydataset productivity precipitation diversity pkeyintegerdimensionlessA unique primary key for this table.
data.dataset_species_coverAmaranthus retroflexusfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverAmbrosia artemisiifoliafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverAmorpha canescensfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverAndropogon gerardiifloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverAsclepias syriacafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverAsclepias tuberosafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverAster ericoidesfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverAster praealtusfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverAstragalus canadensisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverBaptisia albafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverBlockfloatnumberBlocks containing established prairie vegetation (27m x 61m).
data.dataset_species_coverBromus inermisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverChamaecrista fasciculatafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverChenopodium albumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverCirsium arvensefloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverConyza canadensisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverDalea purpureumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverDesmanthus illinoensisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverDesmodium canadensisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverEchinacea pallidafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverEchinochloa crusgallifloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverElymus canadensisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverEryngium yuccifoliumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverEuphorbia dentatafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverHelianthis laetiflorusfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverHelianthis maximillianifloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverHeliopsis helianthoidesfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverLactuca serriolafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverLespedeza capitatafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverLiatris pycnostachyafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverMedicago lupulinafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverMelilotus albusfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverMelilotus officinalisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverMonarda fistulosafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverMuhlenbergia frondosafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverOtherfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverOxalis strictafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverPanicum virgatumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverPhleum pratensefloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverPhysalis subglabratafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverPoa pratensisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverPopulus deltoidesfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverPycnanthemum virginianumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverRatibida pinnatafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverRudbeckia hirtafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSchizachyrium scopariumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSetaria faberifloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSilphium integrifoliumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSilphium lactinatumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSolanum ptycanthumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSolidago canadensisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSolidago rigidafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSonchus asperfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSorghastrum nutansfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverSporobolus heterolepisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverTaraxacum officinalefloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverTradescantia ohiensisfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverTreatmentstringNATreatments were unfertilized prairie which received no N, P or K (low-fertility) and fertilized prarie which received N,P, K (high-fertility). For more information see article.
data.dataset_species_coverTrifolium hybridumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverTrifolium pratensefloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverVernonia fasciculatafloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverVeronicastrum virginicumfloatNACover of the named Genus_species. Calculated as total pin contacts divided by total number of pins (96) dropped per plot (m2/m2).
data.dataset_species_coverYearintegernumberYears in which measurements were made.
data.dataset_species_coverYear Block TreatmentstringNACombination of the Year, Block and Treatment variables.
data.dataset_species_coverdataset species cover pkeyintegerdimensionlessA unique primary key for this table.
data.dataset_species_proportional_coverAmaranthus retroflexusfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverAmbrosia artemisiifoliafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverAmorpha canescensfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverAndropogon gerardiifloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverAsclepias syriacafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverAsclepias tuberosafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverAster ericoidesfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverAster praealtusfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverAstragalus canadensisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverBaptisia albafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverBlockfloatnumberBlocks containing established prairie vegetation (27m x 61m).
data.dataset_species_proportional_coverBromus inermisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverChamaecrista fasciculatafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverChenopodium albumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverCirsium arvensefloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverConyza canadensisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverDalea purpureumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverDesmanthus illinoensisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverDesmodium canadensisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverEchinacea pallidafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverEchinochloa crusgallifloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverElymus canadensisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverEryngium yuccifoliumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverEuphorbia dentatafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverHelianthis laetiflorusfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverHelianthis maximillianifloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverHeliopsis helianthoidesfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverLactuca serriolafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverLespedeza capitatafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverLiatris pycnostachyafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverMedicago lupulinafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverMelilotus albusfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverMelilotus officinalisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverMonarda fistulosafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverMuhlenbergia frondosafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverOxalis strictafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverPanicum virgatumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverPhleum pratensefloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverPhysalis subglabratafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverPoa pratensisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverPopulus deltoidesfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverPycnanthemum virginianumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverRatibida pinnatafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverRudbeckia hirtafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSchizachyrium scopariumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSetaria faberifloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSilphium integrifoliumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSilphium lactinatumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSolanum ptycanthumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSolidago canadensisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSolidago rigidafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSonchus asperfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSorghastrum nutansfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverSporobolus heterolepisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverTaraxacum officinalefloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverTradescantia ohiensisfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverTreatmentstringNATreatments were unfertilized prairie which received no N, P or K (low-fertility) and fertilized prarie which received N,P, K (high-fertility). For more information see article.
data.dataset_species_proportional_coverTrifolium hybridumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverTrifolium pratensefloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverVernonia fasciculatafloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverVeronicastrum virginicumfloatNAProportional cover for the Genus_species column name was calculated as each species' cover divided by total cover of all species per plot (m2/m2).
data.dataset_species_proportional_coverYearintegernumberYears in which measurements were made.
data.dataset_species_proportional_coverYear Block TreatmentstringNACombination of the Year, Block and Treatment variables used for processing species matrixes in R.
data.dataset_species_proportional_coverdataset species proportional cover pkeyintegerdimensionlessA unique primary key for this table.