How can machine learning algorithms, such as convolutional neural networks (CNNs) or deep learning models, enhance the identification and monitoring of cryptic or elusive species in complex ecosystems, and what technical limitations persist in integrating multi-scale data (genetic, ecological, and environmental) for predicting population dynamics under climate change scenarios?