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1,989 results for “Fires”
Root biomass data: Interactive Effects of Deer, Fire and Nitrogen
In 2000 we began to examine impacts of three anthropogenic effects on successional grasslands in an area with rapid woody encroachment toward white pine forest. We established a factorial experiment that manipulates N (0 or 3 g m-2 yr-1), fire (none or every 2nd year), and deer (fenced or open to deer), with a total of 32 plots, each 20 x 20 m. We hypothesized that the response of this ecosystem to the combined effects of fire, N, and herbivory would depend on the ability of pine and other species to invade and the magnitude of their response to the different disturbance factors: warm-season grasses increase with and encourage fire, resist herbivores, and inhibit woody plant invasion (Davis et al. 1998, Inouye et al. 1994); cool-season plants are favored by N deposition (Tilman 1987) but are fire-intolerant and palatable to herbivores; legumes tolerate fire but decrease with herbivory and N deposition; and finally, woody plants are fire-intolerant and may be more susceptible to herbivory. We are measuring treatment effects on composition and diversity of plants and consumers (insects, small mammals, lizards) as well as plant and soil C and N.
Small mammal abundance: Interactive Effects of Deer, Fire and Nitrogen
In 2000 we began to examine impacts of three anthropogenic effects on successional grasslands in an area with rapid woody encroachment toward white pine forest. We established a factorial experiment that manipulates N (0 or 3 g m-2 yr-1), fire (none or every 2nd year), and deer (fenced or open to deer), with a total of 32 plots, each 20 x 20 m. We hypothesized that the response of this ecosystem to the combined effects of fire, N, and herbivory would depend on the ability of pine and other species to invade and the magnitude of their response to the different disturbance factors: warm-season grasses increase with and encourage fire, resist herbivores, and inhibit woody plant invasion (Davis et al. 1998, Inouye et al. 1994); cool-season plants are favored by N deposition (Tilman 1987) but are fire-intolerant and palatable to herbivores; legumes tolerate fire but decrease with herbivory and N deposition; and finally, woody plants are fire-intolerant and may be more susceptible to herbivory. We are measuring treatment effects on composition and diversity of plants and consumers (insects, small mammals, lizards) as well as plant and soil C and N.
Plant species inventory: Interactive Effects of Deer, Fire and Nitrogen
In 2000 we began to examine impacts of three anthropogenic effects on successional grasslands in an area with rapid woody encroachment toward white pine forest. We established a factorial experiment that manipulates N (0 or 3 g m-2 yr-1), fire (none or every 2nd year), and deer (fenced or open to deer), with a total of 32 plots, each 20 x 20 m. We hypothesized that the response of this ecosystem to the combined effects of fire, N, and herbivory would depend on the ability of pine and other species to invade and the magnitude of their response to the different disturbance factors: warm-season grasses increase with and encourage fire, resist herbivores, and inhibit woody plant invasion (Davis et al. 1998, Inouye et al. 1994); cool-season plants are favored by N deposition (Tilman 1987) but are fire-intolerant and palatable to herbivores; legumes tolerate fire but decrease with herbivory and N deposition; and finally, woody plants are fire-intolerant and may be more susceptible to herbivory. We are measuring treatment effects on composition and diversity of plants and consumers (insects, small mammals, lizards) as well as plant and soil C and N.
Soil nitrate and ammonium: Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Plant species percent cover data: Interactive Effects of Deer, Fire and Nitrogen
In 2000 we began to examine impacts of three anthropogenic effects on successional grasslands in an area with rapid woody encroachment toward white pine forest. We established a factorial experiment that manipulates N (0 or 3 g m-2 yr-1), fire (none or every 2nd year), and deer (fenced or open to deer), with a total of 32 plots, each 20 x 20 m. We hypothesized that the response of this ecosystem to the combined effects of fire, N, and herbivory would depend on the ability of pine and other species to invade and the magnitude of their response to the different disturbance factors: warm-season grasses increase with and encourage fire, resist herbivores, and inhibit woody plant invasion (Davis et al. 1998, Inouye et al. 1994); cool-season plants are favored by N deposition (Tilman 1987) but are fire-intolerant and palatable to herbivores; legumes tolerate fire but decrease with herbivory and N deposition; and finally, woody plants are fire-intolerant and may be more susceptible to herbivory. We are measuring treatment effects on composition and diversity of plants and consumers (insects, small mammals, lizards) as well as plant and soil C and N.
Litter carbon and nitrogen: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Root biomass data: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Percent light penetration: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Root carbon/nitrogen data: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Small mammal abundance: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Soil Calcium: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Soil magnesium: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Soil nitrate and ammonium: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Soil carbon: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Soil nitrogen: Fire X Nitrogen: Interactive Effects in a Prairie-Like Grassland
This experiment was established on top of E002 in field B. In the spring of 1992, 3 randomly chosen replicates of each nutrient treatment of experiment E002 were chosen to be burned each spring. For a description of these plots, see E002. For a list of treatments, see the treatment layouts in file trmte98.
Soil Nitrogen Cycling:Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Fire Biomass Loss:BioCON: Biodiversity, CO2, and Nitrogen
BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe
Plant species percent cover data: Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Plant aboveground biomass data: Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Percent light penetration: Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
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Annotated Behaviour and Observability Dataset (ABODe)
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