💡 #MachineLearningApplications🤖 to reveal the difference in #RobiniaPseudoacacia growth and its drivers on China’s #LoessPlateau.
factors:
1️⃣ forest age and stand density (prediction)
2️⃣ soil texture and soil pH (determinants)
doi.org/10.1093/jpe/...
factors:
1️⃣ forest age and stand density (prediction)
2️⃣ soil texture and soil pH (determinants)
doi.org/10.1093/jpe/...
May 16, 2025 at 12:51 PM
💡 #MachineLearningApplications🤖 to reveal the difference in #RobiniaPseudoacacia growth and its drivers on China’s #LoessPlateau.
factors:
1️⃣ forest age and stand density (prediction)
2️⃣ soil texture and soil pH (determinants)
doi.org/10.1093/jpe/...
factors:
1️⃣ forest age and stand density (prediction)
2️⃣ soil texture and soil pH (determinants)
doi.org/10.1093/jpe/...