Skip to main content

2016 | OriginalPaper | Buchkapitel

Possible Influences of Land Use and Cover Change on Vegetation Cover: A Case Study in China’s Yongding River Basin

verfasst von : Hong Wang, Kaikai Xu, Xiaobing Li, Honghai Liu, Dengkai Chi

Erschienen in: Geo-Informatics in Resource Management and Sustainable Ecosystem

Verlag: Springer Berlin Heidelberg

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Understanding the influence of land uses on vegetation cover can guide both the restoration and the historical reconstruction of vegetation communities. In this study, we developed a linear decomposition model for vegetation cover, with the model’s endmembers determined using a pixel purity index. Using remote sensing images from 1978, 1987, 2000, and 2005, we calculated normalized-difference vegetation index (NDVI) values, and used the linear decomposition model to estimate the changes in vegetation cover in China’s Yongding River Basin due to climate change. We performed regressions among NDVI values, climate factors, and slope, and reconstructed NDVI (thus, vegetation cover). Based on classification of the remote sensing images from the four dates, we analyzed the influence of land use and cover change on vegetation cover under two climate scenarios: (1) The climate in the previous period remains unchanged, so the precipitation and temperature in 1978, 1987, and 2000 replaced the values in 1987, 2000, and 2005, respectively. In this scenario, the decrease in vegetation cover from 1978 to 1987 in most of the basin ranged from 20 to 60 %. The vegetation cover in most of the basin increased from 1987 to 2000. From 2000 to 2005, vegetation cover decreased in northern parts of the basin but increased in the middle, eastern, and southern parts. (2) The 1978 precipitation and temperature values remain unchanged. In this scenario, vegetation cover increased by 40 to 60 % from 1987 to 2000 in the eastern part of the basin and by 0 to 40 % in the middle and western parts. From 2000 to 2005, vegetation cover decreased in most of the basin, but increased in some middle and eastern areas.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Nunes, C., Auge, J.I. (eds.): Land-Use and Land-Cover Change (LUCC): Implementation Strategy (1999) Nunes, C., Auge, J.I. (eds.): Land-Use and Land-Cover Change (LUCC): Implementation Strategy (1999)
2.
Zurück zum Zitat Pan, Y.Z., Li, X.B., He, C.Y.: Research on comprehensive land cover classification in China: based on NOAA/AVHRR and Holdridge PE index. Quat. Sci. 20(3), 270–281 (2000). (in Chinese) Pan, Y.Z., Li, X.B., He, C.Y.: Research on comprehensive land cover classification in China: based on NOAA/AVHRR and Holdridge PE index. Quat. Sci. 20(3), 270–281 (2000). (in Chinese)
3.
Zurück zum Zitat Xiao, J.F., Moody, A.: A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico, USA. Remote Sens. Environ. 98, 237–250 (2005)CrossRef Xiao, J.F., Moody, A.: A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico, USA. Remote Sens. Environ. 98, 237–250 (2005)CrossRef
4.
Zurück zum Zitat Todd, M.S., John, D.A., Kelly, K.C., Chris, A.W.: Determining land surface fractional cover from NDVI and rainfall time series for a savanna ecosystem. Remote Sens. Environ. 82, 376–388 (2002)CrossRef Todd, M.S., John, D.A., Kelly, K.C., Chris, A.W.: Determining land surface fractional cover from NDVI and rainfall time series for a savanna ecosystem. Remote Sens. Environ. 82, 376–388 (2002)CrossRef
5.
Zurück zum Zitat Gutman, G., Ignatov, A.: The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. Int. J. Remote Sens. 19(8), 1533–1543 (1998)CrossRef Gutman, G., Ignatov, A.: The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. Int. J. Remote Sens. 19(8), 1533–1543 (1998)CrossRef
6.
Zurück zum Zitat Ma, J.H., Liu, D.D.: On the application of dimidiate pixel model to inversion of vegetation coverage in land-use investigation. Bull. Surveying Mapp. 4, 13–16 (2006). (in Chinese) Ma, J.H., Liu, D.D.: On the application of dimidiate pixel model to inversion of vegetation coverage in land-use investigation. Bull. Surveying Mapp. 4, 13–16 (2006). (in Chinese)
Metadaten
Titel
Possible Influences of Land Use and Cover Change on Vegetation Cover: A Case Study in China’s Yongding River Basin
verfasst von
Hong Wang
Kaikai Xu
Xiaobing Li
Honghai Liu
Dengkai Chi
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-49155-3_63

Neuer Inhalt