Filters: partyWithName: Wendy Peterman (X)
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This project developed a soil vulnerability index and map indicating where forest cover will be most affected by climate change. Using this map, researchers developed a greater understanding of potential changes in soil moisture and temperature regimes under future climate conditions. They then evaluated how this information could be used to improve vegetation models across the landscape. They compared the results of different modeling approaches to the soil vulnerability map, synthesized the state of knowledge and uncertainty, and introduced management implications for action.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2011,
AK,
AK,
AK,
AK,
This dataset represents the soil texture from SSURGO and STATSGO soil descriptions for soil map units in the state of western Oregon that lie within the North Pacific Landscape Conservation Cooperative. Soil texture is the mineral particle size distribution of soil particles within a soil horizon. This dataset also documents rock fragments and organic matter that may contribute to water infiltration, storage and relocation within the surface horizons of the soil profile. For reference, see NRCS soil texture triangle: http://soils.usda.gov/technical/aids/investigations/texture/
This dataset represents the soil order from SSURGO and STATSGO soil descriptions for soil map units in the state of southern Alaska (b) that lie within the North Pacific Landscape Conservation Cooperative.
This dataset represents the soil pH from SSURGO and STATSGO soil descriptions for soil map units in the state of northern California that lie within the North Pacific Landscape Conservation Cooperative.
Potential for vegetation change on sensitive soils (consensus of 8 scenarios) for 2041 to 2050 in the Southern Rockies LCC, USA
Climate change has significant effects on critical ecosystem functions such as carbon and water cycling. Vegetation and especially forest ecosystems play an important role in the carbon and hydrological cycles. Vegetation models that include detailed belowground processes require accurate soil data to decrease uncertainty and increase realism in their simulations. The MC2 DGVM uses three modules to simulate biogeography, biogeochemistry and fire effects, all three of which use soil data either directly or indirectly. This study includes a correlation analysis of the MC2 model to soil depth by comparing a subset of the model’s carbon and hydrological outputs using soil depth data of different scales and qualities....
Categories: Data,
Publication;
Types: Citation;
Tags: Carbon,
Climate change,
Correlation analysis,
DGVM,
LCC Network Science Catalog,
The over-arching theme of this work is that soil data affect the performance and realism of vegetation models with particular focus on their ability to predict or explain disturbances such as fire or disease. We tested the sensitivity of the Excel version of the 3-PG model to soil properties and applied this information to understanding bark beetle attacks in drought-stressed forests. We tested the sensitivity of the MC2 model to soil depth with a particular focus on how soils affect the biogeochemistry and fire modules of the Dynamic Global Vegetation Model (DGVM). We found in these sensitivity analyses, soil depth, soil water storage capacity (ASW) and soil texture are among the most important soil factors to...
Categories: Data;
Tags: LCC Network Science Catalog,
climate change,
completed,
dynamic global vegetation models,
product,
This dataset represents the soil texture from SSURGO and STATSGO soil descriptions for soil map units in the state of northern California that lie within the North Pacific Landscape Conservation Cooperative. Soil texture is the mineral particle size distribution of soil particles within a soil horizon. This dataset also documents rock fragments and organic matter that may contribute to water infiltration, storage and relocation within the surface horizons of the soil profile. For reference, see NRCS soil texture triangle: http://soils.usda.gov/technical/aids/investigations/texture/
This dataset represents the soil texture from SSURGO and STATSGO soil descriptions for soil map units in the state of western Washington that lie within the North Pacific Landscape Conservation Cooperative. Soil texture is the mineral particle size distribution of soil particles within a soil horizon. This dataset also documents rock fragments and organic matter that may contribute to water infiltration, storage and relocation within the surface horizons of the soil profile. For reference, see NRCS soil texture triangle: http://soils.usda.gov/technical/aids/investigations/texture/
Scenarios for potential vegetation change on sensitive soils for 2041 to 2050 in the Southern Rockies LCC, USA
We will develop tools for managers in all watersheds of the Southern Rockies Landscape Conservation Cooperative to project the effects of climate change on soil water conditions and help them develop appropriate strategies to mitigate negative climate impacts. The overall goal of this project is (1) to develop a spatially-explicit soil vulnerability index for the Southern Rockies Landscape Conservation Cooperative that can be used to forecast the short-term response of plants to current drought conditions and test a vegetation model hindcast of plant response to drought; (2) to compare and contrast the current vulnerability index with projections of vegetation dieback under future climate change scenarios and provide...
This dataset represents the soil minimum depth (inches) from SSURGO and STATSGO soil descriptions for soil map units in the state of western Oregon that lie within the North Pacific Landscape Conservation Cooperative.
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