FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3040982204> ?p ?o ?g. }

• W3040982204 abstract "&lt;p&gt;Numerous studies have demonstrated that forests considerably alter temperatures at the land surface. These alterations vary in space and time due to a complex interplay of several modified energy fluxes at the land surface. The effect of forests on the amount and pattern of precipitation has gained less attention, despite its high socio-economic relevance. Previous work has demonstrated that the high precipitation amounts in tropical rain forests are self-sustained by the abundance of those forests itself. Yet, the impact of forests on precipitation in extra-tropical regions has gained only little attention. This study attempts to identify a relationship between the amount of precipitation and the abundance of forests over the European continent. Such a relationship can originate from two kinds of interactions: (1) The amount of precipitation can drive the abundance of forests, as water is a crucial resource for forests ecosystems. (2) The energy and water redistribution at the land surface associated with forests can alter processes in the atmospheric air column, which in term could affect the amount of precipitation at the location of the forest. Here, we aim to isolate the second kind of effects, as those are more relevant for human decision making.&lt;/p&gt;&lt;p&gt;Establishing a causal relationship between the abundance of forests and the amount of precipitation is complex due this two-way interaction. Hence, three different data sources are employed to advance our understanding of how forests influence precipitation patterns. Firstly, a geographically weighted regression is applied to the spatially-continuous, observation-based precipitation data set MSWEP2.2 (Beck et al., 2017). Besides the forest fraction, a number of topographical variables are considered as predictor variables to account for potential confounding factors (i.e, to assure that interactions of the first kind are not misinterpreted as interactions of the second kind). Secondly, closely-located, paired sites that resemble in topography, but differ in forest fraction are identified in the GHCN (Menne et al., 2012) and the GSDR (Lewis et al., 2019) rain gauge data sets. This allows to evaluate the results based on MSWEP2.2. Thirdly, the same geographically weighted regression is applied to convection-resolving regional climate simulations. By artificially defining the forest fraction distribution in model simulations, interactions of the first kind can be disabled, further fostering the understanding about the causality on the relations identified using the observations. Further sensitivity experiments could be conducted, to improve the process understanding on interactions of the second kind. Overall, our results indicate, that the abundance of a forest increases the amount of precipitation in the order of 100 mm/yr in many locations of Europe. This increased amount of precipitation is more pronounced during the winter months, while the summer signal is more close to zero.&lt;/p&gt;" @default.
• W3040982204 created "2020-07-16" @default.
• W3040982204 creator A5008398099 @default.
• W3040982204 creator A5011579041 @default.
• W3040982204 creator A5013087895 @default.
• W3040982204 creator A5055047333 @default.
• W3040982204 date "2020-03-23" @default.
• W3040982204 modified "2023-09-25" @default.
• W3040982204 title "The Effect of Forests on the Amount of Incoming Precipitation over Europe" @default.
• W3040982204 doi "https://doi.org/10.5194/egusphere-egu2020-21573" @default.
• W3040982204 hasPublicationYear "2020" @default.
• W3040982204 type Work @default.
• W3040982204 sameAs 3040982204 @default.
• W3040982204 citedByCount "0" @default.
• W3040982204 crossrefType "posted-content" @default.
• W3040982204 hasAuthorship W3040982204A5008398099 @default.
• W3040982204 hasAuthorship W3040982204A5011579041 @default.
• W3040982204 hasAuthorship W3040982204A5013087895 @default.
• W3040982204 hasAuthorship W3040982204A5055047333 @default.
• W3040982204 hasConcept C107054158 @default.
• W3040982204 hasConcept C110872660 @default.
• W3040982204 hasConcept C153294291 @default.
• W3040982204 hasConcept C18903297 @default.
• W3040982204 hasConcept C205649164 @default.
• W3040982204 hasConcept C206345919 @default.
• W3040982204 hasConcept C31258907 @default.
• W3040982204 hasConcept C39432304 @default.
• W3040982204 hasConcept C41008148 @default.
• W3040982204 hasConcept C73935091 @default.
• W3040982204 hasConcept C77077793 @default.
• W3040982204 hasConcept C86803240 @default.
• W3040982204 hasConceptScore W3040982204C107054158 @default.
• W3040982204 hasConceptScore W3040982204C110872660 @default.
• W3040982204 hasConceptScore W3040982204C153294291 @default.
• W3040982204 hasConceptScore W3040982204C18903297 @default.
• W3040982204 hasConceptScore W3040982204C205649164 @default.
• W3040982204 hasConceptScore W3040982204C206345919 @default.
• W3040982204 hasConceptScore W3040982204C31258907 @default.
• W3040982204 hasConceptScore W3040982204C39432304 @default.
• W3040982204 hasConceptScore W3040982204C41008148 @default.
• W3040982204 hasConceptScore W3040982204C73935091 @default.
• W3040982204 hasConceptScore W3040982204C77077793 @default.
• W3040982204 hasConceptScore W3040982204C86803240 @default.
• W3040982204 hasLocation W30409822041 @default.
• W3040982204 hasOpenAccess W3040982204 @default.
• W3040982204 hasPrimaryLocation W30409822041 @default.
• W3040982204 hasRelatedWork W17356585 @default.
• W3040982204 hasRelatedWork W19222764 @default.
• W3040982204 hasRelatedWork W20479801 @default.
• W3040982204 hasRelatedWork W23504374 @default.
• W3040982204 hasRelatedWork W36299631 @default.
• W3040982204 hasRelatedWork W44194875 @default.
• W3040982204 hasRelatedWork W45552787 @default.
• W3040982204 hasRelatedWork W8373921 @default.
• W3040982204 hasRelatedWork W9303124 @default.
• W3040982204 hasRelatedWork W30063222 @default.
• W3040982204 isParatext "false" @default.
• W3040982204 isRetracted "false" @default.
• W3040982204 magId "3040982204" @default.
• W3040982204 workType "article" @default.