牧场
中分辨率成像光谱仪
环境科学
初级生产
草原
植被(病理学)
遥感
放牧
碳循环
卫星
卫星图像
生物量(生态学)
自然地理学
地理
生态系统
农林复合经营
海洋学
农学
地质学
生态学
工程类
生物
航空航天工程
医学
病理
作者
Shuang Li,Christopher Potter,Cyrus Hiatt
出处
期刊:Natural Resources
[Scientific Research Publishing, Inc.]
日期:2012-01-01
卷期号:03 (02): 56-65
被引量:23
标识
DOI:10.4236/nr.2012.32009
摘要
In this study, we present results from the CASA (Carnegie-Ames-Stanford Approach) model to estimate net primary production (NPP) in grasslands under different management (ranching versus unmanaged) on the Central Coast of California. The latest model version called CASA Express has been designed to estimate monthly patterns in carbon fixation and plant biomass production using moderate spatial resolution (30 m to 250 m) satellite image data of surface vegetation characteristics. Landsat imagery with 30 m resolution was adjusted by contemporaneous Moderate Resolution Imaging Spectroradiometer (MODIS) data to calibrate the model based on previous CASA research. Results showed annual NPP predictions of between 300 - 450 grams C per square meter for coastal rangeland sites. Irrigation increased the predicted NPP carbon flux of grazed lands by 59 grams C per square meter annually compared to unmanaged grasslands. Low intensity grazing activity appeared to promote higher grass regrowth until June, compared to the ungrazed grassland sites. These modeling methods were shown to be successful in capturing the differing seasonal growing cycles of rangeland forage production across the area of individual ranch properties.
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