| Issue |
ITM Web Conf.
Volume 7, 2016
3rd Annual International Conference on Information Technology and Applications (ITA 2016)
|
|
|---|---|---|
| Article Number | 09018 | |
| Number of page(s) | 5 | |
| Section | Session 9: Computer Science and its Applications | |
| DOI | https://doi.org/10.1051/itmconf/20160709018 | |
| Published online | 21 November 2016 | |
Assessment of Ecosystem Water Conservation Value In The Beijing Four Seasons Flower Valley
Beijing Research & Development Center for Grass and Environment, Beijing 100097, China
a Corresponding author: lihsdf@sina.com
Based on the data of field investigation and multi-source data analysis, Beijing Four Seasons Flower Valley declared in 2008 towards valley economy water conservation function and value was estimated by means of rainfall storage capacity as well as ecological economy. The results showed that: Landscape structure of FSFV was forest land-cultivated land-grassland. FSFV had the highest water conservation function in Beijing valleys, with the capacity of 1101.13 m3/hm2. Annual total amount of water conservation was 31.20×106 m3, accounting for 10.07% of Beijing valleys, and the total value of water conservation was 3.61×108 Yuan. High water conservation capacity areas were mainly located in the eastern mountainous region with broadleaf forest centralized distribution. Low water conservation function areas were mainly occurred in the regions effected by human activities. Forest ecosystem had the highest capacity of water conservation of 1116 m3/hm2, while construction ecosystem had the lowest. Higher degree of human activities, lower capacity of water conservation. Shrub forest and broadleaf forest had the largest contribution on valley water conservation, with contribution rate of 36.35% and 35.62%. Ranking of water conservation capacity, broadleaf forest had the highest value of 1135 m3/hm2, followed by coniferous forest, shrub forest and mixed forest.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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