Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280492950> ?p ?o ?g. }
- W4280492950 endingPage "758" @default.
- W4280492950 startingPage "749" @default.
- W4280492950 abstract "Grasses fuel most fires on Earth and strongly influence local fire behaviour through traits that determine how flammable they are. Therefore, grass communities that differ in their species and trait compositions give rise to significant spatial variation in savanna fire regimes across the world, which cannot be otherwise explained. Likewise, fire regimes are continuously modified by alterations to savanna grass community traits, through species introductions and climatic changes. However, current representation of grassy fuels in global fire models misses important variation and therefore limits predictive power. The inclusion of grass trait diversity in models, using remotely sensed trait proxies, for example, will greatly improve our ability to understand and project savanna fires and their roles in the Earth system." @default.
- W4280492950 created "2022-05-22" @default.
- W4280492950 creator A5019323378 @default.
- W4280492950 creator A5036506641 @default.
- W4280492950 creator A5074584371 @default.
- W4280492950 date "2022-09-01" @default.
- W4280492950 modified "2023-10-17" @default.
- W4280492950 title "Savanna fire regimes depend on grass trait diversity" @default.
- W4280492950 cites W1496830370 @default.
- W4280492950 cites W1510765141 @default.
- W4280492950 cites W1577178957 @default.
- W4280492950 cites W1806738460 @default.
- W4280492950 cites W1924370273 @default.
- W4280492950 cites W1984044754 @default.
- W4280492950 cites W2000636218 @default.
- W4280492950 cites W2005746745 @default.
- W4280492950 cites W2037321678 @default.
- W4280492950 cites W2048099994 @default.
- W4280492950 cites W2049333734 @default.
- W4280492950 cites W2073429076 @default.
- W4280492950 cites W2076978655 @default.
- W4280492950 cites W2079303402 @default.
- W4280492950 cites W2096521629 @default.
- W4280492950 cites W2106417253 @default.
- W4280492950 cites W2106906152 @default.
- W4280492950 cites W2124770012 @default.
- W4280492950 cites W2127934604 @default.
- W4280492950 cites W2134313485 @default.
- W4280492950 cites W2142391869 @default.
- W4280492950 cites W2157206590 @default.
- W4280492950 cites W2240405888 @default.
- W4280492950 cites W2473658880 @default.
- W4280492950 cites W2537960638 @default.
- W4280492950 cites W2573821892 @default.
- W4280492950 cites W2732607881 @default.
- W4280492950 cites W2755656393 @default.
- W4280492950 cites W2756088825 @default.
- W4280492950 cites W2772795300 @default.
- W4280492950 cites W2794920391 @default.
- W4280492950 cites W2795075163 @default.
- W4280492950 cites W2797776247 @default.
- W4280492950 cites W2803467440 @default.
- W4280492950 cites W2805520784 @default.
- W4280492950 cites W2893316847 @default.
- W4280492950 cites W2899525751 @default.
- W4280492950 cites W2911027085 @default.
- W4280492950 cites W2948432093 @default.
- W4280492950 cites W2969318040 @default.
- W4280492950 cites W2969997989 @default.
- W4280492950 cites W2973324688 @default.
- W4280492950 cites W2986130484 @default.
- W4280492950 cites W3002963116 @default.
- W4280492950 cites W3005734743 @default.
- W4280492950 cites W3011435629 @default.
- W4280492950 cites W3015451443 @default.
- W4280492950 cites W3024474470 @default.
- W4280492950 cites W3025198826 @default.
- W4280492950 cites W3036113152 @default.
- W4280492950 cites W3036192457 @default.
- W4280492950 cites W3046893125 @default.
- W4280492950 cites W3090114314 @default.
- W4280492950 cites W3096047051 @default.
- W4280492950 cites W3096088671 @default.
- W4280492950 cites W3111418325 @default.
- W4280492950 cites W3128848044 @default.
- W4280492950 cites W3128918037 @default.
- W4280492950 cites W3135110666 @default.
- W4280492950 cites W3155957872 @default.
- W4280492950 cites W3160526791 @default.
- W4280492950 cites W3203303615 @default.
- W4280492950 cites W3214427875 @default.
- W4280492950 cites W3215132373 @default.
- W4280492950 cites W3215946130 @default.
- W4280492950 cites W365641054 @default.
- W4280492950 cites W4210894472 @default.
- W4280492950 cites W4213074542 @default.
- W4280492950 doi "https://doi.org/10.1016/j.tree.2022.04.010" @default.
- W4280492950 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35577616" @default.
- W4280492950 hasPublicationYear "2022" @default.
- W4280492950 type Work @default.
- W4280492950 citedByCount "5" @default.
- W4280492950 countsByYear W42804929502023 @default.
- W4280492950 crossrefType "journal-article" @default.
- W4280492950 hasAuthorship W4280492950A5019323378 @default.
- W4280492950 hasAuthorship W4280492950A5036506641 @default.
- W4280492950 hasAuthorship W4280492950A5074584371 @default.
- W4280492950 hasBestOaLocation W42804929502 @default.
- W4280492950 hasConcept C106934330 @default.
- W4280492950 hasConcept C110872660 @default.
- W4280492950 hasConcept C121332964 @default.
- W4280492950 hasConcept C144024400 @default.
- W4280492950 hasConcept C18903297 @default.
- W4280492950 hasConcept C19165224 @default.
- W4280492950 hasConcept C195330766 @default.
- W4280492950 hasConcept C199360897 @default.
- W4280492950 hasConcept C205649164 @default.
- W4280492950 hasConcept C2778334786 @default.
- W4280492950 hasConcept C2781316041 @default.