FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2079751943> ?p ?o ?g. }

• W2079751943 endingPage "542" @default.
• W2079751943 startingPage "532" @default.
• W2079751943 abstract "Summary Ambient temperatures in natural environments can vary widely over short distances, especially on rugged ground where exposure to solar radiation depends on slope and aspect. Temperatures can also fluctuate rapidly, reaching values not revealed by climate data. Such fine‐scale variation raises challenges for modelling species distributions under changing climates. To avoid misunderstanding current species distributions and future changes, temperatures must be modelled at high resolutions. Most existing methods either require extensive parameterization or are pre‐parameterized for restricted localities and current conditions; here, we describe a more versatile method intended for European landscapes under a wide range of scenarios. The availability of high‐resolution topographic data makes possible the use of projected solar irradiation to help predict local diurnal ground temperatures. Using time series from 83 points across Europe, we fitted statistical models for soil surface temperature based on geographical characteristics of the sites along with atmospheric variables obtained from a publicly available data base. The sites ranged from 40°N to 60°N and 2°W to 25°E, and from 43 to 1500 m in elevation. We compare models for monthly mean and daily afternoon temperatures, for open and tree‐covered habitats. The effect of topography was greatest for the daily predictions, and generally more important in open than in tree‐covered sites. Tests with data collected from other European locations in a different time period suggest that our models can predict monthly means with an error standard deviation of about 2.3°C. We provide an R function that implements our models on the basis of readily available data. Our mean‐temperatures model should be useful for understanding organisms’ niches, dispersal possibilities and community dynamics, and for predicting species’ refugia, range shifts and opportunities for adaptation under projected climate change." @default.
• W2079751943 created "2016-06-24" @default.
• W2079751943 creator A5016960103 @default.
• W2079751943 creator A5043323352 @default.
• W2079751943 creator A5047906247 @default.
• W2079751943 date "2015-03-13" @default.
• W2079751943 modified "2023-10-02" @default.
• W2079751943 title "Predicting ground temperatures across European landscapes" @default.
• W2079751943 cites W1489838709 @default.
• W2079751943 cites W1575299597 @default.
• W2079751943 cites W1965745061 @default.
• W2079751943 cites W1966462578 @default.
• W2079751943 cites W1966522221 @default.
• W2079751943 cites W1976773662 @default.
• W2079751943 cites W1980586815 @default.
• W2079751943 cites W1988538784 @default.
• W2079751943 cites W2010998809 @default.
• W2079751943 cites W2016467777 @default.
• W2079751943 cites W2022319455 @default.
• W2079751943 cites W2042161151 @default.
• W2079751943 cites W2066737612 @default.
• W2079751943 cites W2069958932 @default.
• W2079751943 cites W2071017459 @default.
• W2079751943 cites W2079751943 @default.
• W2079751943 cites W2097937019 @default.
• W2079751943 cites W2098359396 @default.
• W2079751943 cites W2107513419 @default.
• W2079751943 cites W2109460547 @default.
• W2079751943 cites W2114941819 @default.
• W2079751943 cites W2117105806 @default.
• W2079751943 cites W2118778800 @default.
• W2079751943 cites W2119286628 @default.
• W2079751943 cites W2129032555 @default.
• W2079751943 cites W2145345918 @default.
• W2079751943 cites W2150414239 @default.
• W2079751943 cites W2153205047 @default.
• W2079751943 cites W2155986656 @default.
• W2079751943 cites W2162168586 @default.
• W2079751943 cites W2164772977 @default.
• W2079751943 cites W2166485029 @default.
• W2079751943 cites W2179545855 @default.
• W2079751943 cites W2912029870 @default.
• W2079751943 doi "https://doi.org/10.1111/2041-210x.12355" @default.
• W2079751943 hasPublicationYear "2015" @default.
• W2079751943 type Work @default.
• W2079751943 sameAs 2079751943 @default.
• W2079751943 citedByCount "16" @default.
• W2079751943 countsByYear W20797519432015 @default.
• W2079751943 countsByYear W20797519432016 @default.
• W2079751943 countsByYear W20797519432017 @default.
• W2079751943 countsByYear W20797519432018 @default.
• W2079751943 countsByYear W20797519432019 @default.
• W2079751943 countsByYear W20797519432020 @default.
• W2079751943 countsByYear W20797519432021 @default.
• W2079751943 countsByYear W20797519432022 @default.
• W2079751943 crossrefType "journal-article" @default.
• W2079751943 hasAuthorship W2079751943A5016960103 @default.
• W2079751943 hasAuthorship W2079751943A5043323352 @default.
• W2079751943 hasAuthorship W2079751943A5047906247 @default.
• W2079751943 hasBestOaLocation W20797519431 @default.
• W2079751943 hasConcept C100970517 @default.
• W2079751943 hasConcept C105795698 @default.
• W2079751943 hasConcept C127313418 @default.
• W2079751943 hasConcept C132651083 @default.
• W2079751943 hasConcept C159985019 @default.
• W2079751943 hasConcept C18903297 @default.
• W2079751943 hasConcept C192562407 @default.
• W2079751943 hasConcept C204323151 @default.
• W2079751943 hasConcept C205649164 @default.
• W2079751943 hasConcept C22679943 @default.
• W2079751943 hasConcept C2524010 @default.
• W2079751943 hasConcept C2777489503 @default.
• W2079751943 hasConcept C2778755073 @default.
• W2079751943 hasConcept C33923547 @default.
• W2079751943 hasConcept C37054046 @default.
• W2079751943 hasConcept C39432304 @default.
• W2079751943 hasConcept C58640448 @default.
• W2079751943 hasConcept C86803240 @default.
• W2079751943 hasConcept C91586092 @default.
• W2079751943 hasConceptScore W2079751943C100970517 @default.
• W2079751943 hasConceptScore W2079751943C105795698 @default.
• W2079751943 hasConceptScore W2079751943C127313418 @default.
• W2079751943 hasConceptScore W2079751943C132651083 @default.
• W2079751943 hasConceptScore W2079751943C159985019 @default.
• W2079751943 hasConceptScore W2079751943C18903297 @default.
• W2079751943 hasConceptScore W2079751943C192562407 @default.
• W2079751943 hasConceptScore W2079751943C204323151 @default.
• W2079751943 hasConceptScore W2079751943C205649164 @default.
• W2079751943 hasConceptScore W2079751943C22679943 @default.
• W2079751943 hasConceptScore W2079751943C2524010 @default.
• W2079751943 hasConceptScore W2079751943C2777489503 @default.
• W2079751943 hasConceptScore W2079751943C2778755073 @default.
• W2079751943 hasConceptScore W2079751943C33923547 @default.
• W2079751943 hasConceptScore W2079751943C37054046 @default.
• W2079751943 hasConceptScore W2079751943C39432304 @default.
• W2079751943 hasConceptScore W2079751943C58640448 @default.
• W2079751943 hasConceptScore W2079751943C86803240 @default.
• W2079751943 hasConceptScore W2079751943C91586092 @default.

• next