Machine learning has become popular in ecology but its use has remained restricted to predicting, rather than understanding, the natural world. Many researchers consider machine learning algorithms to be a black box. These models can however, with careful examination, be used to inform our ...
AI carves out a niche in ecology and conservation research Scientists who study biodiversity are in the rapid adoption phase of AI. They are finding that what AI can — and can’t — do is shifting rapidly. Virginia Gewin Correspondence|29 April 2025 ...
Lucas, T. C. D. A translucent box: interpretable machine learning in ecology.Ecol. Monogr.90,https://doi.org/10.1002/ecm.1422(2020).
We focus on applications of machine learning in ecology, and in particular ecological modelling. Ecological modelling is concerned with the development of models of the relationships among members of living communities and between those communities and their abiotic environment. These models can then ...
In Proc. 31st Association for the Advancement of Artifcial Intelligence Conference on Artifcial Intelligence 2 (2017). 50. Johnson, N. et al. Abrupt rise of new machine ecology beyond human response time. Sci. Rep. 3, 2627 (2013). 51. Appel, K., Haken, W. & Koch, J. Every ...
The establishment of an efficient and concise TDG generation prediction model is of great significance to the water ecology and water environment protection of hydropower development reaches. The flow conditions and the process of water-gas mass transfer in discharge and energy dissipation are very ...
- 《Landscape Ecology》 被引量: 0发表: 2022年 An innovative approach for risk assessment in archaeology based on machine learning. A Swiss case study. Quantitative approaches, spatial statistics and so... Machine learning (ML) is as a subfield of AI, mainly concerned with the development of ...
Application of neural networks to modelling nonlinear relationships in ecology. Ecol Model. 1996;90(1):39–52. Article Google Scholar Obermeyer Z, Emanuel EJ. Predicting the future—big data, machine learning, and clinical medicine. N Engl J Med. 2016;375(13):1216–9. Article PubMed Pub...
Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology For centuries, ecologists and evolutionary biologists have used images such as drawings, paintings and photographs to record and quantify the shapes and patterns of life. With the advent of digital imag...
Understanding the microbial community assembly mechanisms is essential to advancing microbial ecology research under heavy metal pollution [26]. In our study, deterministic processes (variable selection) dominated the assembly processes of two rice cultivars and gradually increased along the soil-root contin...