Habitat Dynamics Active
The Habitat Dynamics Project examines how short and long-term changes in the environment affect the distribution and survival of wildlife populations.
Return to Ecosystems >> Marine Ecosystems or Terrestrial Ecosystems
An overarching strategy of the Project is to develop new methods that integrate satellite telemetry, remote sensing, meteorology, and GIS technologies. Studies focus on Department of Interior priorities by emphasizing the growing need to understand how changes in climate or land use practices affect wildlife migrations, habitat availability, habitat quality, and population dynamics. Climate is an overarching force that shapes suitability of wildlife habitat resources. Understanding linkages between the physical and biological environment is critical for making informed management decisions in the face of accelerating climate change and expanding human activities.
Emphasis of the Habitat Dynamics Project is placed on the Arctic, where species synchronize their reproductive and migration cycles with the landscape’s pronounced seasonal changes. The Project uses a variety of environmental data sources derived primarily from satellite remote sensing, and a variety of wildlife data through collaborations with other principal investigators.
Most studies fall under one of three general themes:
- observed and future changes in Arctic sea ice and the implications to polar bears and walruses
- variations and trends in the timing of spring vegetation growth and the implications to herbivores such as caribou and geese
- dynamics of daily wind conditions and the implications to bird migrations.
Links
Near-real-time sea ice monitoring and analysis
Arctic Sea Ice News, National Snow and Ice Data Center
Ice Analysis Products, National Ice Center
Arctic Sea-Ice Monitor, Arctic Data System
Daily AMSR2 Sea Ice Maps, University of Bremen
Future sea ice forecasts and projections
IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
Changes in Sea Ice Cover, IPCC (see Chapter 12, Section 12.4.6.1)
Projections of an Ice-Diminished Arctic Ocean, Polar Science Center, UW
Sea Ice Prediction Network, ARCUS
Monitoring Vegetation Phenology with NDVI
Global NDVI time-series data, 1982-2016, Univ of Arizona
Global NDVI time-series data, GIMMS_3g, NASA
Global MODIS Global Subsets & Visualization , Oakridge National Lab
U.S. and Alaska eMODIS time series, USGS, 2000-present
U.S. Phenology Metrics, USGS
Alaska Phenology Metrics, GINA, Univ of Alaska
NOAA Global Vegetation Health, 1982-present
Climate data and data visualization portals
Large collection of web sites, variables and time scales, NOAA
Climate explorer, KNMI
Global wind, ocean current, SST dynamics, Cameron Beccario©
Global weather visualization portal
Satellite tracking animals
Satellite tracking data archive and acquisition portal, Movebank.org
Satellite tracking and analysis tool, Seaturtle.org
Arctic wildlife tracking data, USGS
The Argos System
Below are other science projects associated with this project.
Below are data or web applications associated with this project.
Below are publications associated with this project.
The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data
Moderating Argos location errors in animal tracking data
Effects of sea ice on winter site fidelity of Pacific common eiders (Somateria mollissima v-nigrum)
Eco-virological approach for assessing the role of wild birds in the spread of avian influenza H5N1 along the central Asian flyway
The paradox of extreme high-altitude migration in bar-headed geese Anser indicus
- Overview
The Habitat Dynamics Project examines how short and long-term changes in the environment affect the distribution and survival of wildlife populations.
Return to Ecosystems >> Marine Ecosystems or Terrestrial Ecosystems
An overarching strategy of the Project is to develop new methods that integrate satellite telemetry, remote sensing, meteorology, and GIS technologies. Studies focus on Department of Interior priorities by emphasizing the growing need to understand how changes in climate or land use practices affect wildlife migrations, habitat availability, habitat quality, and population dynamics. Climate is an overarching force that shapes suitability of wildlife habitat resources. Understanding linkages between the physical and biological environment is critical for making informed management decisions in the face of accelerating climate change and expanding human activities.
Emphasis of the Habitat Dynamics Project is placed on the Arctic, where species synchronize their reproductive and migration cycles with the landscape’s pronounced seasonal changes. The Project uses a variety of environmental data sources derived primarily from satellite remote sensing, and a variety of wildlife data through collaborations with other principal investigators.
Most studies fall under one of three general themes:
- observed and future changes in Arctic sea ice and the implications to polar bears and walruses
- variations and trends in the timing of spring vegetation growth and the implications to herbivores such as caribou and geese
- dynamics of daily wind conditions and the implications to bird migrations.
Links
Near-real-time sea ice monitoring and analysis
Arctic Sea Ice News, National Snow and Ice Data Center
Ice Analysis Products, National Ice Center
Arctic Sea-Ice Monitor, Arctic Data System
Daily AMSR2 Sea Ice Maps, University of BremenFuture sea ice forecasts and projections
IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
Changes in Sea Ice Cover, IPCC (see Chapter 12, Section 12.4.6.1)
Projections of an Ice-Diminished Arctic Ocean, Polar Science Center, UW
Sea Ice Prediction Network, ARCUSMonitoring Vegetation Phenology with NDVI
Global NDVI time-series data, 1982-2016, Univ of Arizona
Global NDVI time-series data, GIMMS_3g, NASA
Global MODIS Global Subsets & Visualization , Oakridge National Lab
U.S. and Alaska eMODIS time series, USGS, 2000-present
U.S. Phenology Metrics, USGS
Alaska Phenology Metrics, GINA, Univ of Alaska
NOAA Global Vegetation Health, 1982-presentClimate data and data visualization portals
Large collection of web sites, variables and time scales, NOAA
Climate explorer, KNMI
Global wind, ocean current, SST dynamics, Cameron Beccario©
Global weather visualization portalSatellite tracking animals
Satellite tracking data archive and acquisition portal, Movebank.org
Satellite tracking and analysis tool, Seaturtle.org
Arctic wildlife tracking data, USGS
The Argos System - Science
Below are other science projects associated with this project.
- Data
Below are data or web applications associated with this project.
- Publications
Below are publications associated with this project.
Filter Total Items: 29The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data
The movement of animals is strongly influenced by external factors in their surrounding environment such as weather, habitat types, and human land use. With advances in positioning and sensor technologies, it is now possible to capture animal locations at high spatial and temporal granularities. Likewise, scientists have an increasing access to large volumes of environmental data. Environmental daAuthorsSomayeh Dodge, Gil Bohrer, Rolf P. Weinzierl, Sarah C. Davidson, Roland Kays, David C. Douglas, Sebastian Cruz, J. Han, David Brandes, Martin WikelskiModerating Argos location errors in animal tracking data
1. The Argos System is used worldwide to satellite-track free-ranging animals, but location errors can range from tens of metres to hundreds of kilometres. Low-quality locations (Argos classes A, 0, B and Z) dominate animal tracking data. Standard-quality animal tracking locations (Argos classes 3, 2 and 1) have larger errors than those reported in Argos manuals. 2. The Douglas Argos-filter (DAF)AuthorsDavid C. Douglas, Rolf Weinziert, Sarah C. Davidson, Roland Kays, Martin Wikelski, Gil BohrerEffects of sea ice on winter site fidelity of Pacific common eiders (Somateria mollissima v-nigrum)
In northern marine habitats, the presence or absence of sea ice results in variability in the distribution of many species and the quality and availability of pelagic winter habitat. To understand the effects of ice on intra- and inter-annual winter site fidelity and movements in a northern sea-duck species, we marked 25 adult Pacific Common Eiders (Somateria mollissima v-nigrum) on their nestingAuthorsMargaret R. Petersen, David C. Douglas, Heather M. Wilson, Sarah E. McCloskeyEco-virological approach for assessing the role of wild birds in the spread of avian influenza H5N1 along the central Asian flyway
A unique pattern of highly pathogenic avian influenza (HPAI) H5N1 outbreaks has emerged along the Central Asia Flyway, where infection of wild birds has been reported with steady frequency since 2005. We assessed the potential for two hosts of HPAI H5N1, the bar-headed goose (Anser indicus) and ruddy shelduck (Tadorna tadorna), to act as agents for virus dispersal along this ‘thoroughfare’. We useAuthorsScott H. Newman, Nichola J. Hill, Kyle A. Spragens, Daniel Janies, Igor O. Voronkin, Diann J. Prosser, Baoping Yan, Fumin Lei, Nyambayar Batbayar, Tseveenmyadag Natsagdorj, Charles M. Bishop, Patrick J. Butler, Martin Wikelski, Sivananinthaperumal Balachandran, Taej Mundkur, David C. Douglas, John Y. TakekawaThe paradox of extreme high-altitude migration in bar-headed geese Anser indicus
Bar-headed geese are renowned for migratory flights at extremely high altitudes over the world's tallest mountains, the Himalayas, where partial pressure of oxygen is dramatically reduced while flight costs, in terms of rate of oxygen consumption, are greatly increased. Such a mismatch is paradoxical, and it is not clear why geese might fly higher than is absolutely necessary. In addition, directAuthorsL.A. Hawkes, S. Balachandran, N. Batbayar, P.J. Butler, B. Chua, David C. Douglas, P.B. Frappell, Y. Hou, W.K. Milsom, S. H. Newman, D.J. Prosser, P. Sathiyaselvam, G. R. Scott, John Y. Takekawa, T. Natsagdorj, M. Wikelski, M.J. Witt, B. Yan, C.M. Bishop