#anthropogenic — Public Fediverse posts on home.social

Periklis G Feresiadis @[email protected] · 2026-09-12 · 17:51 UTC

#anthropogenic #climate change has influenced El Niño

deploy backstop technologies now or risk an economic crisis that could surpass 2008's, on a #Ragnarök scale

the optimal backstop tech plan is presented in:
../ggs1.html
../green.html
& https://www.indeco.no/archive/samgrep3.htm

#climatechange

#anthropogenic #climate #ragnarok #climatechange

💧🌏 Greg Cocks @[email protected] · 2026-09-11 · 18:31 UTC

Predicting Disease Spread From Host Movement Data - Chronic Wasting Disease In North America As A Case Study
--
https://doi.org/10.1111/1365-2656.70310 <-- shared paper
--
https://pubs.usgs.gov/publication/70278253 <-- shared USGS publication
--
[animation: An animated map of the distribution of chronic wasting disease in the U.S. and Canada from 2007-2024.]
H/T @USGS
“Does host movement play a role in the spread of chronic wasting disease?🦌
Chronic wasting disease (CWD), a fatal neurodegenerative prion disease affecting deer, elk, and other cervids, has now been detected in 37 U.S. states and 5 Canadian provinces. Understanding how the disease spreads across landscapes is critical to managing it, and one hypothesis is that regions where deer move long distances, as with seasonal migrations, there should be faster disease spread.
A new USGS study tests this hypothesis. Using published GPS deer movement and CWD spread data, scientists built statistical models predicting how fast CWD should spread based on the migration and dispersal patterns of mule deer and white-tailed deer. They then compared these predictions to two decades of observed CWD detection data across North America (2005 to 2022).
The results were only partially consistent with expectations:
💠Western epicenters with highly mobile mule deer did have faster CWD spread rates than regions with only white-tailed deer.
💠In the Canadian Prairie Provinces (Alberta/Saskatchewan), deer movements were shorter than in Colorado or Wyoming, yet CWD spread faster there.
💠Predicted CWD spread based on deer movement resulted in slower rates than the observed CWD rates showing that accounting for migration or juvenile dispersal did not fully explain the observed CWD rate estimates.
This study provides the first estimates of CWD spread rates across the U.S. and Canada. These results help to inform an important management tradeoff: deer movements can contribute to disease spread, but migration may also help support resilient and healthy wildlife populations…”
#ChronicWastingDisease #CWD #host #movement #spatial #mapping #GIS #NorthAmerica #Canada #USA #wildlife #neurodegenerative #prion #disease #deer #GPS #spatialanalysis #spatiotemporal #seasonal #migration #literaturereview #opendata #USGS #muledeer #whitetaildeer #spread #rate #prairie #openrange #pasture #grassland #montane #riverine #animal #animalmovement #anthropogenic #humaninpacts
@USGS

#chronicwastingdisease #cwd #host #movement #spatial #mapping

💧🌏 Greg Cocks @[email protected] · 2026-09-11 · 18:31 UTC

Predicting Disease Spread From Host Movement Data - Chronic Wasting Disease In North America As A Case Study
--
https://doi.org/10.1111/1365-2656.70310 <-- shared paper
--
https://pubs.usgs.gov/publication/70278253 <-- shared USGS publication
--
[animation: An animated map of the distribution of chronic wasting disease in the U.S. and Canada from 2007-2024.]
H/T @USGS
“Does host movement play a role in the spread of chronic wasting disease?🦌
Chronic wasting disease (CWD), a fatal neurodegenerative prion disease affecting deer, elk, and other cervids, has now been detected in 37 U.S. states and 5 Canadian provinces. Understanding how the disease spreads across landscapes is critical to managing it, and one hypothesis is that regions where deer move long distances, as with seasonal migrations, there should be faster disease spread.
A new USGS study tests this hypothesis. Using published GPS deer movement and CWD spread data, scientists built statistical models predicting how fast CWD should spread based on the migration and dispersal patterns of mule deer and white-tailed deer. They then compared these predictions to two decades of observed CWD detection data across North America (2005 to 2022).
The results were only partially consistent with expectations:
💠Western epicenters with highly mobile mule deer did have faster CWD spread rates than regions with only white-tailed deer.
💠In the Canadian Prairie Provinces (Alberta/Saskatchewan), deer movements were shorter than in Colorado or Wyoming, yet CWD spread faster there.
💠Predicted CWD spread based on deer movement resulted in slower rates than the observed CWD rates showing that accounting for migration or juvenile dispersal did not fully explain the observed CWD rate estimates.
This study provides the first estimates of CWD spread rates across the U.S. and Canada. These results help to inform an important management tradeoff: deer movements can contribute to disease spread, but migration may also help support resilient and healthy wildlife populations…”
#ChronicWastingDisease #CWD #host #movement #spatial #mapping #GIS #NorthAmerica #Canada #USA #wildlife #neurodegenerative #prion #disease #deer #GPS #spatialanalysis #spatiotemporal #seasonal #migration #literaturereview #opendata #USGS #muledeer #whitetaildeer #spread #rate #prairie #openrange #pasture #grassland #montane #riverine #animal #animalmovement #anthropogenic #humaninpacts
@USGS

#chronicwastingdisease #cwd #host #movement #spatial #mapping

💧🌏 Greg Cocks @[email protected] · 2026-09-11 · 18:31 UTC

Predicting Disease Spread From Host Movement Data - Chronic Wasting Disease In North America As A Case Study
--
https://doi.org/10.1111/1365-2656.70310 <-- shared paper
--
https://pubs.usgs.gov/publication/70278253 <-- shared USGS publication
--
[animation: An animated map of the distribution of chronic wasting disease in the U.S. and Canada from 2007-2024.]
H/T @USGS
“Does host movement play a role in the spread of chronic wasting disease?🦌
Chronic wasting disease (CWD), a fatal neurodegenerative prion disease affecting deer, elk, and other cervids, has now been detected in 37 U.S. states and 5 Canadian provinces. Understanding how the disease spreads across landscapes is critical to managing it, and one hypothesis is that regions where deer move long distances, as with seasonal migrations, there should be faster disease spread.
A new USGS study tests this hypothesis. Using published GPS deer movement and CWD spread data, scientists built statistical models predicting how fast CWD should spread based on the migration and dispersal patterns of mule deer and white-tailed deer. They then compared these predictions to two decades of observed CWD detection data across North America (2005 to 2022).
The results were only partially consistent with expectations:
💠Western epicenters with highly mobile mule deer did have faster CWD spread rates than regions with only white-tailed deer.
💠In the Canadian Prairie Provinces (Alberta/Saskatchewan), deer movements were shorter than in Colorado or Wyoming, yet CWD spread faster there.
💠Predicted CWD spread based on deer movement resulted in slower rates than the observed CWD rates showing that accounting for migration or juvenile dispersal did not fully explain the observed CWD rate estimates.
This study provides the first estimates of CWD spread rates across the U.S. and Canada. These results help to inform an important management tradeoff: deer movements can contribute to disease spread, but migration may also help support resilient and healthy wildlife populations…”
#ChronicWastingDisease #CWD #host #movement #spatial #mapping #GIS #NorthAmerica #Canada #USA #wildlife #neurodegenerative #prion #disease #deer #GPS #spatialanalysis #spatiotemporal #seasonal #migration #literaturereview #opendata #USGS #muledeer #whitetaildeer #spread #rate #prairie #openrange #pasture #grassland #montane #riverine #animal #animalmovement #anthropogenic #humaninpacts
@USGS

#chronicwastingdisease #cwd #host #movement #spatial #mapping

💧🌏 Greg Cocks @[email protected] · 2026-09-11 · 18:31 UTC

Predicting Disease Spread From Host Movement Data - Chronic Wasting Disease In North America As A Case Study
--
https://doi.org/10.1111/1365-2656.70310 <-- shared paper
--
https://pubs.usgs.gov/publication/70278253 <-- shared USGS publication
--
[animation: An animated map of the distribution of chronic wasting disease in the U.S. and Canada from 2007-2024.]
H/T @USGS
“Does host movement play a role in the spread of chronic wasting disease?🦌
Chronic wasting disease (CWD), a fatal neurodegenerative prion disease affecting deer, elk, and other cervids, has now been detected in 37 U.S. states and 5 Canadian provinces. Understanding how the disease spreads across landscapes is critical to managing it, and one hypothesis is that regions where deer move long distances, as with seasonal migrations, there should be faster disease spread.
A new USGS study tests this hypothesis. Using published GPS deer movement and CWD spread data, scientists built statistical models predicting how fast CWD should spread based on the migration and dispersal patterns of mule deer and white-tailed deer. They then compared these predictions to two decades of observed CWD detection data across North America (2005 to 2022).
The results were only partially consistent with expectations:
💠Western epicenters with highly mobile mule deer did have faster CWD spread rates than regions with only white-tailed deer.
💠In the Canadian Prairie Provinces (Alberta/Saskatchewan), deer movements were shorter than in Colorado or Wyoming, yet CWD spread faster there.
💠Predicted CWD spread based on deer movement resulted in slower rates than the observed CWD rates showing that accounting for migration or juvenile dispersal did not fully explain the observed CWD rate estimates.
This study provides the first estimates of CWD spread rates across the U.S. and Canada. These results help to inform an important management tradeoff: deer movements can contribute to disease spread, but migration may also help support resilient and healthy wildlife populations…”
#ChronicWastingDisease #CWD #host #movement #spatial #mapping #GIS #NorthAmerica #Canada #USA #wildlife #neurodegenerative #prion #disease #deer #GPS #spatialanalysis #spatiotemporal #seasonal #migration #literaturereview #opendata #USGS #muledeer #whitetaildeer #spread #rate #prairie #openrange #pasture #grassland #montane #riverine #animal #animalmovement #anthropogenic #humaninpacts
@USGS

#humaninpacts #anthropogenic #animalmovement #animal #riverine #montane

💧🌏 Greg Cocks @GregCocks · 2026-09-11 · 18:31 UTC

Predicting Disease Spread From Host Movement Data - Chronic Wasting Disease In North America As A Case Study
--
https://doi.org/10.1111/1365-2656.70310 <-- shared paper
--
https://pubs.usgs.gov/publication/70278253 <-- shared USGS publication
--
[animation: An animated map of the distribution of chronic wasting disease in the U.S. and Canada from 2007-2024.]
H/T @USGS
“Does host movement play a role in the spread of chronic wasting disease?🦌
Chronic wasting disease (CWD), a fatal neurodegenerative prion disease affecting deer, elk, and other cervids, has now been detected in 37 U.S. states and 5 Canadian provinces. Understanding how the disease spreads across landscapes is critical to managing it, and one hypothesis is that regions where deer move long distances, as with seasonal migrations, there should be faster disease spread.
A new USGS study tests this hypothesis. Using published GPS deer movement and CWD spread data, scientists built statistical models predicting how fast CWD should spread based on the migration and dispersal patterns of mule deer and white-tailed deer. They then compared these predictions to two decades of observed CWD detection data across North America (2005 to 2022).
The results were only partially consistent with expectations:
💠Western epicenters with highly mobile mule deer did have faster CWD spread rates than regions with only white-tailed deer.
💠In the Canadian Prairie Provinces (Alberta/Saskatchewan), deer movements were shorter than in Colorado or Wyoming, yet CWD spread faster there.
💠Predicted CWD spread based on deer movement resulted in slower rates than the observed CWD rates showing that accounting for migration or juvenile dispersal did not fully explain the observed CWD rate estimates.
This study provides the first estimates of CWD spread rates across the U.S. and Canada. These results help to inform an important management tradeoff: deer movements can contribute to disease spread, but migration may also help support resilient and healthy wildlife populations…”
#ChronicWastingDisease #CWD #host #movement #spatial #mapping #GIS #NorthAmerica #Canada #USA #wildlife #neurodegenerative #prion #disease #deer #GPS #spatialanalysis #spatiotemporal #seasonal #migration #literaturereview #opendata #USGS #muledeer #whitetaildeer #spread #rate #prairie #openrange #pasture #grassland #montane #riverine #animal #animalmovement #anthropogenic #humaninpacts
@USGS

#chronicwastingdisease #cwd #host #movement #spatial #mapping

💧🌏 Greg Cocks @[email protected] · 2026-08-25 · 23:19 UTC

Anthropogenic River Flows
--
https://doi.org/10.1088/3033-4942/ae94a0 <-- shared technical perspective
--
H/T @Homero Paltán | Water, Energy, Land & Infrastructure Systemic Risks | Lecturer
“Are global river flows no longer natural? Can we really talk about natural rivers? [The authors] started asking ourselves these questions a few years ago over wonderful discussion sessions.
[They] argue that global river systems have entered a new phase, one of Anthropogenic River Flows, where flow regimes arise from the persistent interaction of:
• the physical alteration of river systems,
• the institutional and socio-technical organisation of water use and allocation
• broader global and systemic processes operating across scales.
In the Anthropocene, these domains do not operate independently because a change in one alters how the other two function. Global water risks and river flow properties then become an emergent property of these interactions.
As a result, [the authors] call for a rethinking of how we study, understand, and manage river flows to better reflect this new reality…”
#water #hydrology #Anthropogenic #River #Flow #spatial #mapping #spatialanalysis #spatiotemporal #flowregimes #risk #waterrisk #global #climatechange #watersecurity #baseline #humanimpacts #magnitude, #seasonality #variability #waterquality #sociohydrology #hydroclimate #regulation #waterresources #engineering #governance #pumping #alteration