Data derived state probabilities for Z. noltei monitoring study. Observed variables were shoot density at four sites in this study

Data-derived state probabilities for the seagrass monitoring study (Cognat et al., 2018) were used to validate the DBN model for Zostera noltei in Arcachon Bay. Shoot density was observed at four sites in this study.

本研究采用源自数据的状态概率，针对 Arcachon Bay 中的 Zostera noltei 水生植物群落的监测研究（Cognat 等人，2018年），以验证深度信念网络模型的有效性。研究在四个不同地点观察了植株密度。