欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报

• 研究报告 • 上一篇    下一篇

江西省退化石灰岩红壤区重建森林土壤水分与降水量和蒸发量的关系

刘苑秋1;王红胜1;郭圣茂1;傅敏宁2   

  1. 1江西农业大学园林与艺术学院, 南昌 330045;2江西省气象局, 南昌 330000
  • 收稿日期:2008-06-02 修回日期:1900-01-01 出版日期:2008-12-20 发布日期:2008-12-20

Relationships of soil moisture content with precipitation and evaporation in rehabilitated forests in degraded limestone red-soil region of Jiangxi Province.

LIU Yuan-qiu1;WANG Hong-sheng1;GUO Sheng-mao1;FU Min-ning2   

  1. 1College of Landscape Architecture and Art, Jiangxi Agricultural University, Nanchang 330045, China; 2Jiangxi Meteorological Bureau, Nanchang 330000, China
  • Received:2008-06-02 Revised:1900-01-01 Online:2008-12-20 Published:2008-12-20

摘要: 采用时间序列分析法,对江西省修水县退化石灰岩红壤区4种主要重建森林类型的土壤(0~40 cm)含水量与降水量、蒸发量之间的相关关系进行了研究.结果表明:研究区各重建森林前一个月的土壤含水量对当月整个土壤剖面(0~40 cm)平均土壤含水量和当月20~40 cm土层土壤含水量具有较强影响,对当月0~10 cm土层土壤含水量的影响较小;研究区各重建森林20~40 cm土层土壤含水量主要受当月降水量的影响,0~10 cm土层土壤含水量主要受当月蒸发量的影响;在4种森林重建模式中,枫香纯林当月降水量与当月土壤含水量的相关系数最大,混交林模式土壤含水量的自相关系数大于纯林模式.

关键词: 集成观测, 数据中心, 水文站网, 地面验证, 激光雷达, 涡度相关

Abstract: By using time series analysis, the relationships of 0-40 cm soil moisture content with precipitation and evaporation in four main rehabilitated forests in degraded limestone red-soil region of Xiushui County, Jiangxi Province were studied. The results showed that in the four rehabilitated forests, the previous month’s soil moisture content had stronger effects on the current month’s soil moisture content in 0-40 cm and 20-40 cm layers, but had lesser effects on that in 0-10 cm layer. The soil moisture content in 20-40 cm layer was mainly affected by current month’s precipitation, while that in 0-10 cm layer was mainly affected by current month’s evaporation. The correlation coefficient between current month’s precipitation and soil moisture content was the largest in pure Liquidambar formosana plantation, and the auto-interrelation coefficient of soil moisture content was larger in mixed forests than in pure L. formosana plantation.

Key words: data center, hydrographic-station network, eddy covariance, ground validation, LiDAR, integrated observation