Filters: Tags: {"type":"Subject","name":"vegetation change"} (X) > Types: OGC WMS Layer (X) > Categories: Data (X)
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The Conservation Biology Institute is developing a tool that managers in all watersheds of the Southern Rockies Landscape Conservation Cooperative can use to project the effects of climate change on soil vulnerability conditions and help resource managers develop appropriate strategies to mitigate negative climate impacts.Specifically, they will develop a spatially-explicit soil vulnerability index for the Southern Rockies Landscape Conservation Cooperative that can be used to forecast short-term response of plants to current drought conditions and test a vegetation model of plant response to drought.Conservation Biology Institute will use the soil vulnerability index to compare historical and future simulations...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AZ-01,
AZ-04,
Applications and Tools,
Arizona,
CO-02,
In the desert Southwest, changes in species composition, abundance, and distribution that may occur with climate change have significant implications for management of natural resources. These changes include: the extirpation or introduction of species, losses of biodiversity, shifts in structure and function of ecosystems and the services they provide, changes in wildlife habitat, invasion of non-native species, and changes in fire regimes. For planning, mitigation, and adaption, land managers would be greatly aided by knowing, in advance, which plant species, functional types, and assemblages will change in response to climate change so that monitoring and mitigation measures can focus on those resources. FY2012In...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AZ-01,
AZ-04,
Arizona,
Arizona,
CO-02,
Climate change predictions include warming and drying trends, which are expected to be particularly pronounced in the southwestern United States. In this region, grassland dynamics are tightly linked to available moisture, yet it has proven difficult to resolve what aspects of climate drive vegetation change.Here, we combine climate and soil properties with a mechanistic soil water model to explain temporal fluctuations in perennial grass cover, quantify where and the degree to which incorporating soil water dynamics enhances our ability to understand temporal patterns, and explore the potential consequences of climate change by assessing future trajectories of important climate and soil water variables.Our analyses...
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