Matches in SemOpenAlex for { <https://semopenalex.org/work/W2917005890> ?p ?o ?g. }
- W2917005890 endingPage "284" @default.
- W2917005890 startingPage "270" @default.
- W2917005890 abstract "Global concern about the restoration of vegetation ecosystems has recently increased. Potential natural vegetation (PNV) and climate adaptation concepts should be integrated into revegetation programs to achieve sustainable ecosystems. The Yanhe Basin in the Loess Plateau of China (7687 km2) has been subjected to intense human activity for centuries. It was selected as the study area because vegetation degradation and restoration are occurring there. The objectives of this study were to (1) evaluate whether the current vegetation pattern is appropriate, and (2) provide a restoration plan for future revegetation programs based on PNV and habitat suitability patterns simulated by the dynamic vegetation model LPJ-GUESS. Current work focused on the parameter calibration and high-resolution climate data of the model over the study area. The comparisons of model performances in the PNV pattern and productivity indicated that parameter calibration was necessary for the model application. PNV of the Yanhe Basin may shift by 21.37–29.67% from 1981–2010 to 2071–2100, mainly in the southern part. Forests may decrease and steppes may increase as the climate becomes drier in the future. Comparisons between an existing land use map and the current PNV pattern indicated that only 40.8% of the forestland was coincident with the current PNV pattern, whereas grassland was a more suitable vegetation type for the rest of the terrain. In contrast, 83.1% of the grassland aligned with the current PNV pattern. Therefore, 16.9% remains to be forested. Current forestland and grassland patterns should be adjusted to cope with future climate change. Broadleaf summer-green shrubs covered a larger area and had higher habitat suitability than forests; they might be the most suitable woody plants for revegetation of the Yanhe Basin. The applied research approach could be extended to other regions undergoing similar revegetation programs and help promote sustainable vegetation management." @default.
- W2917005890 created "2019-03-02" @default.
- W2917005890 creator A5007209496 @default.
- W2917005890 creator A5020102404 @default.
- W2917005890 creator A5079623110 @default.
- W2917005890 creator A5082358710 @default.
- W2917005890 creator A5089129494 @default.
- W2917005890 date "2019-05-01" @default.
- W2917005890 modified "2023-09-30" @default.
- W2917005890 title "Integrating potential natural vegetation and habitat suitability into revegetation programs for sustainable ecosystems under future climate change" @default.
- W2917005890 cites W1480922037 @default.
- W2917005890 cites W1570041302 @default.
- W2917005890 cites W1867005924 @default.
- W2917005890 cites W1917206836 @default.
- W2917005890 cites W1963596764 @default.
- W2917005890 cites W1969589719 @default.
- W2917005890 cites W1985287987 @default.
- W2917005890 cites W1996653992 @default.
- W2917005890 cites W1999791212 @default.
- W2917005890 cites W2022224360 @default.
- W2917005890 cites W2022944615 @default.
- W2917005890 cites W2026121225 @default.
- W2917005890 cites W2044797544 @default.
- W2917005890 cites W2045593709 @default.
- W2917005890 cites W2056859580 @default.
- W2917005890 cites W2075010183 @default.
- W2917005890 cites W2075041338 @default.
- W2917005890 cites W2078844631 @default.
- W2917005890 cites W2082738528 @default.
- W2917005890 cites W2085893612 @default.
- W2917005890 cites W2088041400 @default.
- W2917005890 cites W2092184524 @default.
- W2917005890 cites W2094688663 @default.
- W2917005890 cites W2100593191 @default.
- W2917005890 cites W2100956194 @default.
- W2917005890 cites W2102501963 @default.
- W2917005890 cites W2106080357 @default.
- W2917005890 cites W2107504211 @default.
- W2917005890 cites W2110669521 @default.
- W2917005890 cites W2119451057 @default.
- W2917005890 cites W2123379596 @default.
- W2917005890 cites W2129435498 @default.
- W2917005890 cites W2133639094 @default.
- W2917005890 cites W2134289299 @default.
- W2917005890 cites W2142130713 @default.
- W2917005890 cites W2151203582 @default.
- W2917005890 cites W2159316168 @default.
- W2917005890 cites W2163816695 @default.
- W2917005890 cites W2163912218 @default.
- W2917005890 cites W2200177631 @default.
- W2917005890 cites W2260425894 @default.
- W2917005890 cites W2321500531 @default.
- W2917005890 cites W2365597240 @default.
- W2917005890 cites W2394896537 @default.
- W2917005890 cites W2398582793 @default.
- W2917005890 cites W2416316828 @default.
- W2917005890 cites W2513775986 @default.
- W2917005890 cites W2518198314 @default.
- W2917005890 cites W2539536401 @default.
- W2917005890 cites W2557972103 @default.
- W2917005890 cites W2594870827 @default.
- W2917005890 cites W2736489453 @default.
- W2917005890 cites W2747222850 @default.
- W2917005890 cites W2765354512 @default.
- W2917005890 cites W2769234066 @default.
- W2917005890 cites W2803267762 @default.
- W2917005890 doi "https://doi.org/10.1016/j.agrformet.2019.02.023" @default.
- W2917005890 hasPublicationYear "2019" @default.
- W2917005890 type Work @default.
- W2917005890 sameAs 2917005890 @default.
- W2917005890 citedByCount "23" @default.
- W2917005890 countsByYear W29170058902019 @default.
- W2917005890 countsByYear W29170058902020 @default.
- W2917005890 countsByYear W29170058902021 @default.
- W2917005890 countsByYear W29170058902022 @default.
- W2917005890 countsByYear W29170058902023 @default.
- W2917005890 crossrefType "journal-article" @default.
- W2917005890 hasAuthorship W2917005890A5007209496 @default.
- W2917005890 hasAuthorship W2917005890A5020102404 @default.
- W2917005890 hasAuthorship W2917005890A5079623110 @default.
- W2917005890 hasAuthorship W2917005890A5082358710 @default.
- W2917005890 hasAuthorship W2917005890A5089129494 @default.
- W2917005890 hasConcept C105895522 @default.
- W2917005890 hasConcept C110872660 @default.
- W2917005890 hasConcept C132651083 @default.
- W2917005890 hasConcept C142724271 @default.
- W2917005890 hasConcept C150117547 @default.
- W2917005890 hasConcept C18903297 @default.
- W2917005890 hasConcept C2775835988 @default.
- W2917005890 hasConcept C2776133958 @default.
- W2917005890 hasConcept C2776278397 @default.
- W2917005890 hasConcept C39432304 @default.
- W2917005890 hasConcept C71924100 @default.
- W2917005890 hasConcept C78437154 @default.
- W2917005890 hasConcept C86803240 @default.
- W2917005890 hasConceptScore W2917005890C105895522 @default.
- W2917005890 hasConceptScore W2917005890C110872660 @default.
- W2917005890 hasConceptScore W2917005890C132651083 @default.