The ability of machine learning algorithms to build powerful predictive models that capture complex nonlinear responses with minimal statistical assumptions has been harnessed by most molecular ecology subdisciplines for decades. For example, machine learning models were developed before the turn of the ...
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 ...
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 ...
- 《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 ...
Despite their inherent advantages, a review of the literature reveals only a modest use of these approaches in ecology as compared to other disciplines. One potential explanation for this lack of interest is that machine learning techniques do not fall neatly into the class of statistical, modeling...
Machine Learning for Ecology and Sustainable Natural Resource Management || Boosting, Bagging and Ensembles in the Real World: An Overview, some Explanatio... G Humphries,DR Magness,F Huettmann 被引量: 0发表: 2018年 Boosting, Bagging and Ensembles in the Real World: An Overview, some ...
Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networksbipartite networkscausal inferencedeep learning... M Pichler,V Boreux,A Klein,... - 《Methods in Ecology & Evolution》 被引量: 0发表: 2020年 Machine learning algorithms to infer trait-matching...
1.Individuals are heterogeneous in many ways. Some of these differences are incorporated as individual states (e.g., age, size, breeding status) in populat... S Jenouvrier,LM Aubry,C Barbraud,... - 《Journal of Animal Ecology》 被引量: 11发表: 2018年 Numerical and Experimental Assessment...
Fig. 1: Examples of research acceleration by machine learning-based systems in animal ecology. aThe BirdNET algorithm61was used to detect Carolina wren vocalizations in more than 35,000 h of passive acoustic monitoring data from Ithaca, New York, allowing researchers to document the gradual reco...
Fields such as ecology or geosciences have seen a strong increase of studies that apply machine learning methods to produce global maps of environmental variables (prominent examples are, e.g., the global tree restoration potential1, global soil nematode abundances2, or global soil maps3) with th...