Analysis changes of ecosystem pattern in Beijing Four Seasons Flower Valley
- DOI
- 10.2991/ifeesd-16.2016.183How to use a DOI?
- Keywords
- Ecosystem pattern; Land use and land cover change; Beijing valley economy; Four Seasons Flower Valley (FSFV)
- Abstract
Spatial-temporal changes of land use and landscape pattern dynamic of Four Seasons Flower Valley in Beijing mountainous area were analyzed from 2007 to 2013. The results showed that: Regional structure of ecosystems in FSFV was forest-farmland-grassland. Farmland was the dominant artificial type mainly located in the relative low altitude areas and along the major road, while orchard land was mainly surrounding farmland and construction land. During 2007-2013, all acreage of ecosystem types increased except forest and wetland. Farmland had the lowest increment of 14.85 hm2 and was mainly converted into construction land, grassland and orchard land. Construction land had fastest annual growth rate of 2.37% followed orchard land of 1.93%. Land use and land cover change was mainly occurred in cultivated land and shrubland which mostly were converted into orchard land and construction land. Ecological environment became slightly worse and landscape showed a trend of fragmentation interrupted by human activities. Adjustment of agricultural structure, land resources utilization, leisure tourism economy development and the building area occupation were the main driving forces.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaona Liu AU - Hong Li PY - 2016/05 DA - 2016/05 TI - Analysis changes of ecosystem pattern in Beijing Four Seasons Flower Valley BT - Proceedings of the 2016 International Forum on Energy, Environment and Sustainable Development PB - Atlantis Press SP - 1021 EP - 1026 SN - 2352-5401 UR - https://doi.org/10.2991/ifeesd-16.2016.183 DO - 10.2991/ifeesd-16.2016.183 ID - Liu2016/05 ER -