scholarly journals Modeling Spatial and Temporal Dynamics of Montane Meadows and Biodiversity in the Greater Yellowstone Ecosystem

1999 ◽  
Vol 23 ◽  
pp. 152-158
Author(s):  
Diane Debinski ◽  
Mark Jakubauskas ◽  
Kelly Kindscher
Keyword(s):  
Species Diversity ◽  
Animal Species ◽  
Temporal Dynamics ◽  
Greater Yellowstone Ecosystem ◽  
Diversity Patterns ◽  
Spatial And Temporal Dynamics ◽  
Meadow Communities ◽  
Greater Yellowstone ◽  
Montane Meadows ◽  
Montane Meadow

Our project is an examination of ecological dynamics in the Greater Yellowstone Ecosystem (GYE), concentrating specifically upon the spatial and temporal dynamics of montane meadow communities. We are examining both the abiotic aspects of these communities as well as the biodiversity of plant, bird and butterfly communities. Our long-term goal is to develop predictive species assemblage models based upon landscape level habitat analysis. This involves using intensive, local field sampling to test for relationships between species distribution patterns and remotely sensed data. This research involves several steps: 1) quantifying the spatial and temporal variability in montane meadow communities; 2) developing a spectrally-based spatially-explicit model for predicting plant and animal species diversity patterns in montane meadows; and 3) testing the spectrally-based spatially­explicit model for predicting plant and animal species diversity patterns in montane meadows.

scholarly journals Modeling Spatial and Temporal Dynamics of Montane Meadows and Biodiversity in the Greater Yellowstone Ecosystem

1998 ◽  
Vol 22 ◽  
pp. 59-64
Author(s):  
Diane Debinski ◽  
Mark Jakubaukas ◽  
Kelly Kindscher
Keyword(s):  
Species Diversity ◽  
Animal Species ◽  
Temporal Dynamics ◽  
Greater Yellowstone Ecosystem ◽  
Diversity Patterns ◽  
Spatial And Temporal Dynamics ◽  
Meadow Communities ◽  
Greater Yellowstone ◽  
Montane Meadows ◽  
Montane Meadow

Our project is an examination of ecological dynamics in the Greater Yellowstone Ecosystem (GYE), concentrating specifically upon the spatial and temporal dynamics of montane meadow communities. We are examining both the abiotic aspects of these communities as well as the biodiversity of plant, bird and butterfly communities. Our long-term goal is to develop predictive species assemblage models based upon landscape level habitat analysis. This involves using intensive, local field sampling to test for relationships between species distribution patterns and remotely sensed data. This research involves several steps: 1) quantifying the spatial and temporal variability in montane meadow communities; 2) developing a spectrally-based spatially-explicit model for predicting plant and animal species diversity patterns in montane meadows; and 3) testing the spectrally-based spatially­explicit model for predicting plant and animal species diversity patterns in montane meadows.

scholarly journals Modeling Spatial and Temporal Dynamics of Montane Meadows and Biodiversity in the Greater Yellowstone Ecosystem

1997 ◽  
Vol 21 ◽  
pp. 77-80
Author(s):  
Diane Debinski ◽  
Mark Jakubauskas ◽  
Kelly Kindscher
Keyword(s):  
Animal Species ◽  
Temporal Dynamics ◽  
Spatially Explicit ◽  
Explicit Model ◽  
Spatially Explicit Model ◽  
Spatial And Temporal Dynamics ◽  
Meadow Communities ◽  
Greater Yellowstone ◽  
Montane Meadows ◽  
Montane Meadow

Our project is an examination of ecological dynamics in the Greater Yellowstone Ecosystem (GYE), concentrating specifically upon the spatial and temporal dynamics of montane meadow communities. We are examining both the abiotic aspects of these communities as well as the biodiversity of plant, bird and butterfly communities. Our long-term goal is to develop predictive species assemblage models based upon landscape level habitat analysis. This involves using intensive, local field sampling to test for relationships between species distribution patterns and remotely sensed data. This research involves several steps: 1) quantifying the spatial and temporal variability in montane meadow communities; 2) developing a spectrally-based spatially-explicit model for predicting plant and animal species diversity patterns in montane meadows; and 3) testing the spectrally-based spatially-explicit model for predicting plant and animal species diversity patterns in montane meadows. Note: Details contained in this report are restricted to year one of a three year grant, so we focus primarily on techniques rather than results.

scholarly journals Montane Meadow Butterfly Species Distributions in the Greater Yellowstone Ecosystem

2006 ◽  
Vol 30 ◽  
pp. 85-96
Author(s):  
Jennet Caruthers ◽  
Diane Debinski
Keyword(s):  
Life History ◽  
Plant Communities ◽  
Species Distributions ◽  
Climatic Changes ◽  
Research Community ◽  
Greater Yellowstone Ecosystem ◽  
Butterfly Species ◽  
Greater Yellowstone ◽  
Butterfly Communities ◽  
Montane Meadow

The composition of butterfly communities is a good indicator of changing environmental conditions. Butterflies have tight associations with the plant community due to their dependence on plants throughout their life history. These associations make butterfly distributions predictable based on the plant communities. Butterfly abundance data have been collected annually since 1997 within montane meadow sites characterized along a hydrologic gradient within the Greater Yellowstone Ecosystem. From this research, community composition may be predictable relative to future climatic changes and key habitat constraints. Identifying such variables is important for butterfly conservation.

scholarly journals Epigaeic Ant Communities Along a Soil Moisture Gradient in Grand Teton Montane Meadows

2008 ◽  
Vol 31 ◽  
pp. 135-140
Author(s):  
Wayne Robinson ◽  
Diane Debinski
Keyword(s):  
Animal Species ◽  
Environmental Changes ◽  
Warning System ◽  
Distribution Patterns ◽  
Ecological Monitoring ◽  
Moisture Gradient ◽  
Ant Communities ◽  
Resource Managers ◽  
Greater Yellowstone ◽  
Montane Meadows

Climate change has become a major concern for scientists and resource managers across the globe. Whilst there is much speculation about the pending magnitude of the changes and their ecological effects, there is an urgent and undeniable need to have sound ecological monitoring programs in place in sensitive areas. Montane meadows in the Greater Yellowstone Ecosystem (GYE) are inhabited by short-lived plants and highly mobile animal species that can exhibit quick changes in distribution patterns relative to environmental changes (Debinski et al. 2000, Debinski et al. 2002). Thus, they can provide an early warning system for other ecosystems across the globe. Currently, the extent and range of climatic changes that will occur in montane meadows are unknown.

scholarly journals Long-Term Monitoring of Montane Meadow Biodiversity in the Greater Yellowstone Ecosystem

2001 ◽  
Vol 25 ◽  
pp. 140-143
Author(s):  
Diane Debinski ◽  
Kelly Kindscher
Keyword(s):  
Remotely Sensed ◽  
Common Species ◽  
Greater Yellowstone Ecosystem ◽  
Remotely Sensed Data ◽  
Biodiversity Inventory ◽  
Monitoring Effort ◽  
Greater Yellowstone ◽  
Montane Meadow ◽  
Associated Species ◽  
Animal Communities

This research project is part of an ongoing biodiversity inventory and monitoring effort that began in 1992. It involves using intensive, local field sampling to test for relationships between species distribution pattetns and remotely sensed data. We have been using a time series of satellite multispectral imagery for monitoring the extent, condition, and spatial pattern of montane meadows on a seasonal and interannual time scale. Spectrally-based, spatially­explicit models have been developed for six meadow types along a hydrological gradient. Statistically significant relationships were found between remotely sensed data and a large number of plant and animal species in the Greater Yellowstone Ecosystem (GYE). We have shown that mesic meadows (meadows intermediate in the hydrological gradient) are the sites of highest plant species diversity and the sites of highest seasonal and interannual change. Our research during 2001 was specifically targeted to continue monitoring the plant and animal communities of the GYE with the goal of developing a list of indicator species and their present year-to-year variation. The rarity and low abundances of some of the species have limited our understanding of these patterns to the most common species. Thus, additional data will allow us to expand upon our understanding of these groups as indicators. We believe that these communities and their associated species may be some of the best indicators of environmental change in the GYE.

Spatial and temporal dynamics of lexico-semantic processing in American Sign Language

2011 ◽  
Author(s):  
M. Leonard ◽  
N. Ferjan Ramirez ◽  
C. Torres ◽  
M. Hatrak ◽  
R. Mayberry ◽  
...  
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Semantic Processing ◽  
Temporal Dynamics ◽  
American Sign ◽  
Spatial And Temporal Dynamics

Spatial and temporal dynamics of Pacific capelin Mallotus catervarius in the Gulf of Alaska: implications for ecosystem-based fisheries management

2020 ◽  
Vol 637 ◽  
pp. 117-140 ◽  
Author(s):  
DW McGowan ◽  
ED Goldstein ◽  
ML Arimitsu ◽  
AL Deary ◽  
O Ormseth ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Marine Ecosystem ◽  
Gulf Of Alaska ◽  
Data Series ◽  
Limited Information ◽  
Important Species ◽  
Multiple Data ◽  
Spatial And Temporal Dynamics ◽  
Spawning Areas ◽  
Spatio Temporal

Pacific capelin Mallotus catervarius are planktivorous small pelagic fish that serve an intermediate trophic role in marine food webs. Due to the lack of a directed fishery or monitoring of capelin in the Northeast Pacific, limited information is available on their distribution and abundance, and how spatio-temporal fluctuations in capelin density affect their availability as prey. To provide information on life history, spatial patterns, and population dynamics of capelin in the Gulf of Alaska (GOA), we modeled distributions of spawning habitat and larval dispersal, and synthesized spatially indexed data from multiple independent sources from 1996 to 2016. Potential capelin spawning areas were broadly distributed across the GOA. Models of larval drift show the GOA’s advective circulation patterns disperse capelin larvae over the continental shelf and upper slope, indicating potential connections between spawning areas and observed offshore distributions that are influenced by the location and timing of spawning. Spatial overlap in composite distributions of larval and age-1+ fish was used to identify core areas where capelin consistently occur and concentrate. Capelin primarily occupy shelf waters near the Kodiak Archipelago, and are patchily distributed across the GOA shelf and inshore waters. Interannual variations in abundance along with spatio-temporal differences in density indicate that the availability of capelin to predators and monitoring surveys is highly variable in the GOA. We demonstrate that the limitations of individual data series can be compensated for by integrating multiple data sources to monitor fluctuations in distributions and abundance trends of an ecologically important species across a large marine ecosystem.

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