Can machine learning techniques improve the accuracy of species distribution models in predicting species ranges and populations?
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Machine learning techniques, such as MaxEnt, random forest (RF), and multi-layer perceptron (MLP), have significantly enhanced the accuracy of species distribution models (SDMs) in predicting species ranges and populations. These techniques utilize various environmental variables like climate, topography, and land use to create predictive distribution models. Studies have shown that MaxEnt, in particular, has demonstrated high performance in SDMs, producing reliable results for identifying test data. Additionally, machine learning models have been successfully applied in monitoring biodiversity and managing wildlife, with models like Decision Tree Classifier and Maximum Entropy Model showing good predictive performances. Overall, the integration of machine learning in SDMs has proven to be crucial for accurate ecological predictions and conservation planning, especially in the face of climate change and habitat alterations.
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| Papers (5) | Insight |
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| Machine learning techniques, such as MaxEnt, RF, and MLP, enhance accuracy in predicting species distribution models, as demonstrated in the study on invasive ant species. | |
1 Citations | Machine learning techniques, such as MaxEnt, can enhance species distribution model accuracy by effectively predicting species ranges and populations, as demonstrated in the study. |
| Machine learning techniques can enhance species distribution model accuracy by considering species traits like ecological preferences, niche breadth, and life-history, as shown in European bryophytes research. | |
20 Sep 2022 | Machine learning techniques, such as Decision Tree Classifier and Maximum Entropy Model, can enhance accuracy in predicting species distribution models, as shown in the Amazon Basin study. |
| Machine learning techniques, like MaxEnt, enhance accuracy in predicting species distributions by utilizing environmental variables and observed species locations, beneficial for conservation of lesser-known species in Western Ghats. |
Related Questions
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