Zobrazeno 1 - 10
of 3 398
pro vyhledávání: '"Species distribution modelling"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Fuzzy logic presents a promising approach for Species Distribution Modelling by generating a value that can be used for comparative purposes termed ‘environmental favourability’. In contrast to ‘presence probability’, ‘environmenta
Externí odkaz:
https://doaj.org/article/822cc4f0dbde4679b24375aac5ca7049
Autor:
Michela Leonardi, Margherita Colucci, Andrea Vittorio Pozzi, Eleanor M. L. Scerri, Andrea Manica
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 10, Pp 1789-1795 (2024)
Abstract In species distribution modelling (SDM), it is common practice to explore multiple machine learning (ML) algorithms and combine their results into ensembles. In R, many implementations of different ML algorithms are available but, as they we
Externí odkaz:
https://doaj.org/article/9e0ef1728b6c40da99e09d20d7b9f9f9
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-12 (2024)
Abstract Background Certain mosquitoes are known as dominant vectors worldwide, and transmit infectious diseases. The expansion of mosquito habitats due to climate change and increased human activities poses a significant health threat by facilitatin
Externí odkaz:
https://doaj.org/article/8ba5ecfb52654e9bb4a144e1e79b4c4d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The nitidulid beetle Carpophilus truncatus is rapidly becoming a major pest of nut crops around the world. This insect first infested Australian almonds in 2013 and has since escalated to be the preeminent insect pest for the industry. Data
Externí odkaz:
https://doaj.org/article/8c6747d4b32c46f292c4e6c54b80ba2b
Publikováno v:
Theriologia Ukrainica, Vol 27, Pp 103-111 (2024)
Proboscis monkeys, Nasalis larvatus (Wurmb, 1787), are indigenous to the island of Borneo and are considered one of its most emblematic species. Today the conservation status of this primate is classified as Endangered on the IUCN Red List and listed
Externí odkaz:
https://doaj.org/article/49774fb084b3477b8e49dce559481f5e
Random forest and spatial cross-validation performance in predicting species abundance distributions
Publikováno v:
Environmental Systems Research, Vol 13, Iss 1, Pp 1-24 (2024)
Abstract Random forests (RF) have been widely used to predict spatial variables. Several studies have shown that spatial cross-validation (CV) methods consistently cause RF to yield larger prediction errors compared to standard CV methods. This study
Externí odkaz:
https://doaj.org/article/1e52181264fe4ddfac4cf48ece298713
Autor:
Sohom Seal, Sharad Bayyana, Anant Pande, Chinmaya Ghanekar, Prachi Sachchidanand Hatkar, Sameeha Pathan, Shivani Patel, Sagar Rajpurkar, Sumit Prajapati, Swapnali Gole, Sweta Iyer, Aditi Nair, Nehru Prabakaran, Kuppusamy Sivakumar, Jeyaraj Antony Johnson
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Indian coastal waters are critical for dugong populations in the western Indian Ocean. Systematic spatial planning of dugong habitats can help to achieve biodiversity conservation and area-based protection targets in the region. In this stud
Externí odkaz:
https://doaj.org/article/f79e9e407bf14929840a4ee6f19b7d53
Autor:
Luciana C. Ferreira, Curt Jenner, Micheline Jenner, Vinay Udyawer, Ben Radford, Andrew Davenport, Luciana Moller, Virginia Andrews-Goff, Mike Double, Michele Thums
Publikováno v:
Movement Ecology, Vol 12, Iss 1, Pp 1-20 (2024)
Abstract Background Accurate predictions of animal occurrence in time and space are crucial for informing and implementing science-based management strategies for threatened species. Methods We compiled known, available satellite tracking data for py
Externí odkaz:
https://doaj.org/article/ee22e3fd16184e3ab15decfea76801e1