FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017352482> ?p ?o ?g. }

• W2017352482 endingPage "e111092" @default.
• W2017352482 startingPage "e111092" @default.
• W2017352482 abstract "The recent mortality of up to 20% of forests and woodlands in the southwestern United States, along with declining stream flows and projected future water shortages, heightens the need to understand how management practices can enhance forest resilience and functioning under unprecedented scales of drought and wildfire. To address this challenge, a combination of mechanical thinning and fire treatments are planned for 238,000 hectares (588,000 acres) of ponderosa pine (Pinus ponderosa) forests across central Arizona, USA. Mechanical thinning can increase runoff at fine scales, as well as reduce fire risk and tree water stress during drought, but the effects of this practice have not been studied at scales commensurate with recent forest disturbances or under a highly variable climate. Modifying a historical runoff model, we constructed scenarios to estimate increases in runoff from thinning ponderosa pine at the landscape and watershed scales based on driving variables: pace, extent and intensity of forest treatments and variability in winter precipitation. We found that runoff on thinned forests was about 20% greater than unthinned forests, regardless of whether treatments occurred in a drought or pluvial period. The magnitude of this increase is similar to observed declines in snowpack for the region, suggesting that accelerated thinning may lessen runoff losses due to warming effects. Gains in runoff were temporary (six years after treatment) and modest when compared to mean annual runoff from the study watersheds (0–3%). Nonetheless gains observed during drought periods could play a role in augmenting river flows on a seasonal basis, improving conditions for water-dependent natural resources, as well as benefit water supplies for downstream communities. Results of this study and others suggest that accelerated forest thinning at large scales could improve the water balance and resilience of forests and sustain the ecosystem services they provide." @default.
• W2017352482 created "2016-06-24" @default.
• W2017352482 creator A5006005199 @default.
• W2017352482 creator A5008779559 @default.
• W2017352482 creator A5010472844 @default.
• W2017352482 creator A5032555240 @default.
• W2017352482 creator A5051937521 @default.
• W2017352482 creator A5067527192 @default.
• W2017352482 date "2014-10-22" @default.
• W2017352482 modified "2023-10-16" @default.
• W2017352482 title "Effects of Climate Variability and Accelerated Forest Thinning on Watershed-Scale Runoff in Southwestern USA Ponderosa Pine Forests" @default.
• W2017352482 cites W1503654497 @default.
• W2017352482 cites W1555473120 @default.
• W2017352482 cites W1639150485 @default.
• W2017352482 cites W1966334841 @default.
• W2017352482 cites W1971960726 @default.
• W2017352482 cites W1974806934 @default.
• W2017352482 cites W1977048542 @default.
• W2017352482 cites W1979296739 @default.
• W2017352482 cites W1984319252 @default.
• W2017352482 cites W1985201273 @default.
• W2017352482 cites W2004152251 @default.
• W2017352482 cites W2004329666 @default.
• W2017352482 cites W2006919103 @default.
• W2017352482 cites W2010845487 @default.
• W2017352482 cites W2020968321 @default.
• W2017352482 cites W2025113236 @default.
• W2017352482 cites W2049244566 @default.
• W2017352482 cites W2055369549 @default.
• W2017352482 cites W2055698368 @default.
• W2017352482 cites W2061328952 @default.
• W2017352482 cites W2066837694 @default.
• W2017352482 cites W2097669784 @default.
• W2017352482 cites W2098531087 @default.
• W2017352482 cites W2100422466 @default.
• W2017352482 cites W2100749039 @default.
• W2017352482 cites W2107551506 @default.
• W2017352482 cites W2109936284 @default.
• W2017352482 cites W2116876650 @default.
• W2017352482 cites W2117598843 @default.
• W2017352482 cites W2121769725 @default.
• W2017352482 cites W2122582889 @default.
• W2017352482 cites W2128332892 @default.
• W2017352482 cites W2133727306 @default.
• W2017352482 cites W2138800506 @default.
• W2017352482 cites W2141439399 @default.
• W2017352482 cites W2148063288 @default.
• W2017352482 cites W2155255038 @default.
• W2017352482 cites W2157670595 @default.
• W2017352482 cites W2164246407 @default.
• W2017352482 cites W2165302095 @default.
• W2017352482 cites W2165977355 @default.
• W2017352482 cites W2166831498 @default.
• W2017352482 cites W2168877850 @default.
• W2017352482 cites W2482034486 @default.
• W2017352482 cites W4239283006 @default.
• W2017352482 doi "https://doi.org/10.1371/journal.pone.0111092" @default.
• W2017352482 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4206497" @default.
• W2017352482 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25337823" @default.
• W2017352482 hasPublicationYear "2014" @default.
• W2017352482 type Work @default.
• W2017352482 sameAs 2017352482 @default.
• W2017352482 citedByCount "32" @default.
• W2017352482 countsByYear W20173524822015 @default.
• W2017352482 countsByYear W20173524822016 @default.
• W2017352482 countsByYear W20173524822017 @default.
• W2017352482 countsByYear W20173524822018 @default.
• W2017352482 countsByYear W20173524822019 @default.
• W2017352482 countsByYear W20173524822020 @default.
• W2017352482 countsByYear W20173524822021 @default.
• W2017352482 countsByYear W20173524822022 @default.
• W2017352482 countsByYear W20173524822023 @default.
• W2017352482 crossrefType "journal-article" @default.
• W2017352482 hasAuthorship W2017352482A5006005199 @default.
• W2017352482 hasAuthorship W2017352482A5008779559 @default.
• W2017352482 hasAuthorship W2017352482A5010472844 @default.
• W2017352482 hasAuthorship W2017352482A5032555240 @default.
• W2017352482 hasAuthorship W2017352482A5051937521 @default.
• W2017352482 hasAuthorship W2017352482A5067527192 @default.
• W2017352482 hasBestOaLocation W20173524821 @default.
• W2017352482 hasConcept C107054158 @default.
• W2017352482 hasConcept C111368507 @default.
• W2017352482 hasConcept C119857082 @default.
• W2017352482 hasConcept C127313418 @default.
• W2017352482 hasConcept C127413603 @default.
• W2017352482 hasConcept C132651083 @default.
• W2017352482 hasConcept C150547873 @default.
• W2017352482 hasConcept C153294291 @default.
• W2017352482 hasConcept C187320778 @default.
• W2017352482 hasConcept C18903297 @default.
• W2017352482 hasConcept C203174812 @default.
• W2017352482 hasConcept C205649164 @default.
• W2017352482 hasConcept C2780380513 @default.
• W2017352482 hasConcept C2781353100 @default.
• W2017352482 hasConcept C28631016 @default.
• W2017352482 hasConcept C39432304 @default.
• W2017352482 hasConcept C41008148 @default.
• W2017352482 hasConcept C50477045 @default.

• next