Applying Deep Learning to Quantify Drivers of Long‐Term Ecological Change in a Swedish Marine Protected Area

Documenti analoghi

• Agricultural Pollution as a Driver for the Ecological Status of Rivers in the Long‐Term Perspective of Nida River Assessment (Central Europe)
  di: A. Cieplok, et al.
  Pubblicazione: (2025)
• Long‐Term Changes in the Winter Diet of Common Dolphins Reflects Ecological Shifts and Bycatch Dynamics in the Bay of Biscay
  di: Johanna Faure, et al.
  Pubblicazione: (2025)
• Applying Ensemble Ecological Niche Modeling to Identify High Risk Areas for Scorpions' Sting
  di: Anooshe Kafash, et al.
  Pubblicazione: (2025)
• Lactic acid bacteria in Swedish honey bees during outbreaks of American foulbrood
  di: Anna Nilsson, et al.
  Pubblicazione: (2024)
• Reconstructing History: Scale Analysis Reveals Long‐Term Changes in Age‐Related Growth of a Coregonid Fish
  di: Christian Vogelmann, et al.
  Pubblicazione: (2025)