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emmarrogers

Overlooked keystone species in conservation plans of fluvial ecosystems in Southeast Eu... - 0 views

www.kmae-journal.org/...kmae210127.html

crayfish HSR HSR-2025 questions

shared by emmarrogers on 11 Sep 24 - No Cached
  • Since crayfish species are known to cover a wide spectrum of ecological functions they are considered as keystone species and ecosystem engineers. Therefore, their decline may substantially impair local biodiversity and ecosystem services.
emmarrogers

Environmentally relevant atrazine exposures cause DNA damage in cells of the lateral an... - 0 views

www.ncbi.nlm.nih.gov/...PMC6854318

shared by emmarrogers on 16 Sep 24 - No Cached
  • 80 ppb atrazine
  • 10 days
    • emmarrogers
      emmarrogers on 16 Sep 24
       
      This is the longest time I have seen so far. most studies are between 24-96 hours
  • banned in the European Union
    • emmarrogers
      emmarrogers on 16 Sep 24
       
      I wonder why it is banned in the EU, but not the US
    • emmarrogers
      emmarrogers on 16 Sep 24
       
      increased risk of prostate cancer and decreased sperm count in men, and a higher risk of breast cancer in women. reason why its banned
  • ...3 more annotations...
  • evapotranspiration
    • emmarrogers
      emmarrogers on 16 Sep 24
       
      Loss of water from the soil both by evaporation from the soil surface and by transpiration from the leaves of the plants growing on it.
  • ATR is the most commonly detected herbicide in the U.S. Midwestern region
  • This is a cause for concern as ATR can leach into aquatic ecosystems and affect aquatic organisms.
Sean Nash

Uncovering the role of solar radiation and water stress factors in constraini... - 0 views

nph.onlinelibrary.wiley.com/...nph.70104

phenology spring leaves plants forests grasslands potential research idea biology statistical analysis HSR-2025 HSR science environmental botany computer science mathematics questions

shared by Sean Nash on 04 Apr 25 - No Cached
  • Sean Nash on 04 Apr 25
     
    This is an interesting possibility for working with large (already-existing) datasets to map out and correlate data about the spring reset for plants. What factors are most important in when the spring "greenup" starts? Could also be combined with some local data collected to compare the datasets with what we are seeing on the ground. Could also be a cool opportunity to use ArcGIS tools for spatially mapping information geographically over time!
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