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Natural Community Profile: Dry-Mesic Prairies (3.113804)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for dry-mesic prairies.
Natural Community Profile: Mesic Gravel Prairies (3.113805)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for mesic gravel prairies.
Natural Community Profile: Wet-Mesic Prairies (3.113806)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for wet-mesic prairies.
Natural Community Profile: Dry Sand Prairie (3.113808)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for dry sand prairies.
Natural Community Profile: Mesic Sand Prairie (3.113810)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for mesic sand prairies.
Natural Community Profile: Wet-Mesic Sand Prairie (3.113811)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for wet-mesic sand prairies.
Natural Community Profile: Dry-Mesic Gravel Prairies (3.113813)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for dry-mesic gravel prairies.
Natural Community Profile: Mesic Gravel Prairies (3.113814)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for mesic gravel prairies.
Natural Community Profile: Wet-Mesic Dolomite Prairies (3.113816)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for wet-mesic dolomite prairies.
Natural Community Profile: Dry Sand Savanna (3.113818)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for dry sand savannas.
Natural Community Profile: Marsh (3.113821)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for marshes.
Natural Community Profile: Graminoid Fen (3.113823)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for graminoid fens.
Natural Community Profile: Calcareous Floating Mat (3.113824)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for calcareous floating mats.
Natural Community Profile: Sedge Meadow (3.113826)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing data for sedge meadows.
Forest Natural Plant Community Profile: Canopy Species Data (3.113827)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing canopy species data.
Forest Natural Plant Community Profile: Woody Under Story Species Data (3.113828)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing woody under story species data.
Forest Natural Plant Community Profile: Groundlayer Species Statistical Table (3.113829)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing a groundlayer species statistical table.
Forest Natural Plant Community Profile: Groundlayer Species Frequencies (3.113830)
Date: 1976Creator: Illinois Natural Areas Inventory
Type: Dataset
Description:A community profile containing a groundlayer species frequencies.
Ecosystem model simulations of effects of soil and fire on prairie-forest ecosystem states (3.57671)
Date: 2018 – 2019Type: Dataset
Description:In the Midwest, woodland and prairie ecosystems historically existed side-by-side, with sharp transitions between the two. Understanding how this boundary developed is crucial to understanding how climate change will affect this boundary. Fire, soil water holding capacity, and climate play major roles in ecosystem development on a global scale. However, their roles are difficult to discern at the local scale. We designed a factorial experiment that tested the effects of climate as a driver and two soil parameters that regulate fire events: texture, which regulates soil water holding capacity, and the moisture threshold, which prevents fire from occurring. We ran the model Ecosystem Demography 2.0 (ED2) for 500 years, allowing the ecosystems to self-assemble into a simplified grass-oak system via primary succession. With fire turned off, none of the ecosystems developed into a prairie. With fire turned on, the fire return interval varied between 1 and 8 years. Interestingly, a longer fire return interval of 7 to 8 years generated forested ecosystems in soils with a high water holding capacity and prairie ecosystems in soils with a low water holding capacity. This suggests that both fire and soil are important influences in the development of prairie ecosystems.
Summer 2018 Forestry Plots: Leaf Habit versus Mycorrhizal Fungi Association: A Framework for Predicting Temperate Tree Species Effects on Soil (3.57672)
Date: 2018Type: Dataset
Description:
Tree species affect the biogeochemistry of soil differently. Understanding these effects provides not only insight into current forest function, but also better informs predictions of how shifting forest composition will influence soils in the future. Our objective was to assess if a tree species’ phylogenetic leaf habit or mycorrhizal fungi association is a better predictor of soil biogeochemistry in temperate forests. This study took place in single-species forestry plots throughout the Morton Arboretum (DuPage County, IL). Plots varied by leaf habit (evergreen or deciduous) and known mycorrhizal fungi association (ectomycorrhizal or arbuscular). We collected a composite sample of four cores per plot in June 2018 from both the forest floor (0-5 cm) and mineral soil (5-15 cm) layers. The soil layers were analyzed separately using a two-way ANOVA (P < 0.05, DF=1). We found that both leaf habit and mycorrhizal fungi association can predict a tree’s effects upon soil, and that which factor is the better predictor depends on the nutrient process being measured. In both soil layers, leaf habit predicts percent organic matter (P= 0.0128) and carbon mineralization (P= 0.0095). A linear regression suggested that carbon mineralization is driven by percent organic matter (R² = 0.7482, P= 5.079 e -12). Both leaf habit and type of mycorrhizal fungi association predict C:N ratio in the forest floor layer (Leaf P= 0.0263, Fungi P= 0.0005). Type of mycorrhizal association predicted differences in forest floor pH (P= 0.0001). A linear regression suggested that 30% of differences in pH were driven by exchangeable calcium (Ca2+) (R² = 0.3038, P= 0.0004943). As arbuscular associating trees (usually deciduous) become more dominant in the Chicago region, a trait based framework for predicting soil nutrient changes could aid in the management and mitigation of nutrient cycling and overall ecosystem productivity.
Species richness protects prairie species from vole herbivory (3.57727)
Date: 2018Type: Dataset
Foliar Nutrient Concentrations of Understory Plants in a Chronically Fertilized Lowland Tropical Wet Forest in Costa Rica (3.57734)
Date: 2018Type: Dataset
Description:
Nutrient availability influences key processes for plants in all ecosystems with nitrogen (N) and phosphorus (P) most limiting terrestrial ecosystems. Foliar N and P concentrations have been commonly used as indicators of plant nutritional status. Tropical forests are known to have the highest foliar N:P globally which mirrors a greater degree of P limitation compared to other forests. We tested how plants respond to chronic N and P fertilization by analyzing soil and foliar N and P concentrations from a long term fertilization experiment in Costa Rica. As foliar nutrient concentrations often reflect soil nutrient availability, we had found that this may not have been the case for our samples. Total soil N had not changed significantly but foliar N was affected. We also found that available soil P had increased with chronic fertilization but foliar P was unaffected. There was an overall species effect on foliar nutrient concentrations reflecting the plant specific response to nutrient additions. Here we have added to the knowledge of how plants in tropical forests respond to changes in nutrient availability is important to predict how they will respond to anthropogenic alterations in nutrient cycles, such as N deposition.