Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897569663> ?p ?o ?g. }
- W2897569663 endingPage "2312" @default.
- W2897569663 startingPage "2296" @default.
- W2897569663 abstract "In the past, large-scale terrestrial vegetation dynamics have been used to evaluate the efficiency of national ecological restoration programmes in northern China. However, complete documentation and timely updates of vegetation dynamics in the Ecological Restoration Programmes Regions (ERPRs) of northern China are rare. Furthermore, the main challenges in analysing large-scale vegetation changes in ERPRs are so far not entirely clear. We chose four ERPR study areas (the Beijing–Tianjin Sand Source Region (BTSSR), the Loess Plateau (LP), and the north-east (NE), and the north-west (NW) of the Three-North Shelterbelt Forest Project (TNSFP)), avoiding the overlap of administrative regions. We used long-term Normalised Different Vegetation Index (NDVI) data to investigate the trends of vegetation activities in these four ERPRs of northern China between 1982 and 2011. A persistent and widespread increase of the growing season NDVI was found in this time span, with 58.54% increase in NE, 89.84% in LP, 54.59% in BTSSR, and 76.13% in NW. The observed increase of NDVI indicates the success of Chinese restoration programmes, which have helped to improve ecological conditions after 2000. However, a comparison of long-term vegetation changes between before and after implementation of restoration programmes is insufficient for assessing the programmes’ efficiency. Large-scale Dynamic Global Vegetation Models (DGVMs) are promising tools for future evaluation of the benefits of ecological restoration programmes." @default.
- W2897569663 created "2018-10-26" @default.
- W2897569663 creator A5020113640 @default.
- W2897569663 creator A5031097454 @default.
- W2897569663 creator A5063880073 @default.
- W2897569663 creator A5065620977 @default.
- W2897569663 creator A5090233617 @default.
- W2897569663 date "2018-10-11" @default.
- W2897569663 modified "2023-09-30" @default.
- W2897569663 title "Satellite-based large-scale vegetation dynamics in ecological restoration programmes of Northern China" @default.
- W2897569663 cites W1574031902 @default.
- W2897569663 cites W1869713695 @default.
- W2897569663 cites W1895221971 @default.
- W2897569663 cites W1918040380 @default.
- W2897569663 cites W1951654463 @default.
- W2897569663 cites W1966205003 @default.
- W2897569663 cites W1966498985 @default.
- W2897569663 cites W1974047452 @default.
- W2897569663 cites W1975999098 @default.
- W2897569663 cites W1978451470 @default.
- W2897569663 cites W1981535710 @default.
- W2897569663 cites W1981727966 @default.
- W2897569663 cites W1989566299 @default.
- W2897569663 cites W1996351965 @default.
- W2897569663 cites W1998081962 @default.
- W2897569663 cites W2000563894 @default.
- W2897569663 cites W2003326025 @default.
- W2897569663 cites W2009000000 @default.
- W2897569663 cites W2012104308 @default.
- W2897569663 cites W2013812000 @default.
- W2897569663 cites W2014367122 @default.
- W2897569663 cites W2015435324 @default.
- W2897569663 cites W2017487791 @default.
- W2897569663 cites W2020066179 @default.
- W2897569663 cites W2020434667 @default.
- W2897569663 cites W2024192068 @default.
- W2897569663 cites W2024957196 @default.
- W2897569663 cites W2025335645 @default.
- W2897569663 cites W2026337749 @default.
- W2897569663 cites W2035713900 @default.
- W2897569663 cites W2040342670 @default.
- W2897569663 cites W2048400783 @default.
- W2897569663 cites W2049182348 @default.
- W2897569663 cites W2051159954 @default.
- W2897569663 cites W2051755995 @default.
- W2897569663 cites W2082622512 @default.
- W2897569663 cites W2091804612 @default.
- W2897569663 cites W2094907736 @default.
- W2897569663 cites W2101447269 @default.
- W2897569663 cites W2122296413 @default.
- W2897569663 cites W2133901030 @default.
- W2897569663 cites W2142843930 @default.
- W2897569663 cites W2144423540 @default.
- W2897569663 cites W2165037481 @default.
- W2897569663 cites W2167706174 @default.
- W2897569663 cites W2169995519 @default.
- W2897569663 cites W2177281010 @default.
- W2897569663 cites W2336073586 @default.
- W2897569663 cites W2336426693 @default.
- W2897569663 cites W2499818531 @default.
- W2897569663 cites W2753670894 @default.
- W2897569663 cites W352119078 @default.
- W2897569663 cites W4240398770 @default.
- W2897569663 cites W4244651625 @default.
- W2897569663 cites W4244784080 @default.
- W2897569663 cites W4251268411 @default.
- W2897569663 doi "https://doi.org/10.1080/01431161.2018.1519286" @default.
- W2897569663 hasPublicationYear "2018" @default.
- W2897569663 type Work @default.
- W2897569663 sameAs 2897569663 @default.
- W2897569663 citedByCount "18" @default.
- W2897569663 countsByYear W28975696632019 @default.
- W2897569663 countsByYear W28975696632020 @default.
- W2897569663 countsByYear W28975696632021 @default.
- W2897569663 countsByYear W28975696632022 @default.
- W2897569663 countsByYear W28975696632023 @default.
- W2897569663 crossrefType "journal-article" @default.
- W2897569663 hasAuthorship W2897569663A5020113640 @default.
- W2897569663 hasAuthorship W2897569663A5031097454 @default.
- W2897569663 hasAuthorship W2897569663A5063880073 @default.
- W2897569663 hasAuthorship W2897569663A5065620977 @default.
- W2897569663 hasAuthorship W2897569663A5090233617 @default.
- W2897569663 hasConcept C100970517 @default.
- W2897569663 hasConcept C107826830 @default.
- W2897569663 hasConcept C132651083 @default.
- W2897569663 hasConcept C142724271 @default.
- W2897569663 hasConcept C1549246 @default.
- W2897569663 hasConcept C166957645 @default.
- W2897569663 hasConcept C18903297 @default.
- W2897569663 hasConcept C191935318 @default.
- W2897569663 hasConcept C205649164 @default.
- W2897569663 hasConcept C2776133958 @default.
- W2897569663 hasConcept C2778755073 @default.
- W2897569663 hasConcept C39432304 @default.
- W2897569663 hasConcept C58640448 @default.
- W2897569663 hasConcept C71924100 @default.
- W2897569663 hasConcept C78437154 @default.
- W2897569663 hasConcept C86803240 @default.