FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1984849985> ?p ?o ?g. }

• W1984849985 endingPage "229" @default.
• W1984849985 startingPage "219" @default.
• W1984849985 abstract "Land degradation causes serious environmental problems in many regions of the world, and although it can be effectively assessed and monitored using a time series of rainfall and a normalized difference vegetation index (NDVI) from remotely-sensed imagery, dividing human-induced land degradation from vegetation dynamics due to climate change is not a trivial task. This paper presented a multilevel statistical modeling of the NDVI-rainfall relationship to detect human-induced land degradation at local and landscape scales in the Ordos Plateau of Inner Mongolia, China, and recognized that anthropogenic activities result in either positive (land restoration and re-vegetation) or negative (degradation) trends. Linear regressions were used to assess the accuracy of the multilevel statistical model. The results show that: (1) land restoration was the dominant process in the Ordos Plateau between 1998 and 2012; (2) the effect of the statistical removal of precipitation revealed areas of human-induced land degradation and improvement, the latter reflecting successful restoration projects and changes in land management in many parts of the Ordos; (3) compared to a simple linear regression, multilevel statistical modeling could be used to analyze the relationship between the NDVI and rainfall and improve the accuracy of detecting the effect of human activities. Additional factors should be included when analyzing the NDVI-rainfall relationship and detecting human-induced loss of vegetation cover in drylands to improve the accuracy of the approach and eliminate some observed non-significant residual trends." @default.
• W1984849985 created "2016-06-24" @default.
• W1984849985 creator A5025503114 @default.
• W1984849985 creator A5031873259 @default.
• W1984849985 creator A5038096514 @default.
• W1984849985 creator A5048982261 @default.
• W1984849985 creator A5049754808 @default.
• W1984849985 creator A5053070165 @default.
• W1984849985 creator A5067812855 @default.
• W1984849985 date "2013-09-06" @default.
• W1984849985 modified "2023-09-30" @default.
• W1984849985 title "Human induced dryland degradation in Ordos Plateau, China, revealed by multilevel statistical modeling of normalized difference vegetation index and rainfall time-series" @default.
• W1984849985 cites W1895221971 @default.
• W1984849985 cites W1950771250 @default.
• W1984849985 cites W1981977817 @default.
• W1984849985 cites W1985688288 @default.
• W1984849985 cites W1989082894 @default.
• W1984849985 cites W1996613904 @default.
• W1984849985 cites W2022837661 @default.
• W1984849985 cites W2024692105 @default.
• W1984849985 cites W2032589890 @default.
• W1984849985 cites W2034672914 @default.
• W1984849985 cites W2046339492 @default.
• W1984849985 cites W2048382588 @default.
• W1984849985 cites W2049182348 @default.
• W1984849985 cites W2060372990 @default.
• W1984849985 cites W2060414546 @default.
• W1984849985 cites W2063397235 @default.
• W1984849985 cites W2065311929 @default.
• W1984849985 cites W2107690183 @default.
• W1984849985 cites W2136253503 @default.
• W1984849985 cites W2143684844 @default.
• W1984849985 cites W2161336494 @default.
• W1984849985 cites W2163143186 @default.
• W1984849985 cites W2168208953 @default.
• W1984849985 cites W2331542625 @default.
• W1984849985 cites W3020925109 @default.
• W1984849985 cites W4247581045 @default.
• W1984849985 doi "https://doi.org/10.1007/s40333-013-0203-x" @default.
• W1984849985 hasPublicationYear "2013" @default.
• W1984849985 type Work @default.
• W1984849985 sameAs 1984849985 @default.
• W1984849985 citedByCount "21" @default.
• W1984849985 countsByYear W19848499852014 @default.
• W1984849985 countsByYear W19848499852015 @default.
• W1984849985 countsByYear W19848499852016 @default.
• W1984849985 countsByYear W19848499852017 @default.
• W1984849985 countsByYear W19848499852018 @default.
• W1984849985 countsByYear W19848499852019 @default.
• W1984849985 countsByYear W19848499852020 @default.
• W1984849985 countsByYear W19848499852021 @default.
• W1984849985 countsByYear W19848499852022 @default.
• W1984849985 countsByYear W19848499852023 @default.
• W1984849985 crossrefType "journal-article" @default.
• W1984849985 hasAuthorship W1984849985A5025503114 @default.
• W1984849985 hasAuthorship W1984849985A5031873259 @default.
• W1984849985 hasAuthorship W1984849985A5038096514 @default.
• W1984849985 hasAuthorship W1984849985A5048982261 @default.
• W1984849985 hasAuthorship W1984849985A5049754808 @default.
• W1984849985 hasAuthorship W1984849985A5053070165 @default.
• W1984849985 hasAuthorship W1984849985A5067812855 @default.
• W1984849985 hasBestOaLocation W19848499852 @default.
• W1984849985 hasConcept C100970517 @default.
• W1984849985 hasConcept C105795698 @default.
• W1984849985 hasConcept C107054158 @default.
• W1984849985 hasConcept C113052830 @default.
• W1984849985 hasConcept C127313418 @default.
• W1984849985 hasConcept C132651083 @default.
• W1984849985 hasConcept C134306372 @default.
• W1984849985 hasConcept C142724271 @default.
• W1984849985 hasConcept C153294291 @default.
• W1984849985 hasConcept C1549246 @default.
• W1984849985 hasConcept C18903297 @default.
• W1984849985 hasConcept C205649164 @default.
• W1984849985 hasConcept C2776133958 @default.
• W1984849985 hasConcept C2780030769 @default.
• W1984849985 hasConcept C2780648208 @default.
• W1984849985 hasConcept C33923547 @default.
• W1984849985 hasConcept C39432304 @default.
• W1984849985 hasConcept C4792198 @default.
• W1984849985 hasConcept C48921125 @default.
• W1984849985 hasConcept C49204034 @default.
• W1984849985 hasConcept C53059260 @default.
• W1984849985 hasConcept C71924100 @default.
• W1984849985 hasConcept C86803240 @default.
• W1984849985 hasConceptScore W1984849985C100970517 @default.
• W1984849985 hasConceptScore W1984849985C105795698 @default.
• W1984849985 hasConceptScore W1984849985C107054158 @default.
• W1984849985 hasConceptScore W1984849985C113052830 @default.
• W1984849985 hasConceptScore W1984849985C127313418 @default.
• W1984849985 hasConceptScore W1984849985C132651083 @default.
• W1984849985 hasConceptScore W1984849985C134306372 @default.
• W1984849985 hasConceptScore W1984849985C142724271 @default.
• W1984849985 hasConceptScore W1984849985C153294291 @default.
• W1984849985 hasConceptScore W1984849985C1549246 @default.
• W1984849985 hasConceptScore W1984849985C18903297 @default.
• W1984849985 hasConceptScore W1984849985C205649164 @default.
• W1984849985 hasConceptScore W1984849985C2776133958 @default.

• next