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Large spatial variations in the distributions of and factors affecting forest water retention capacity in China

机译:影响中国森林水保留能力的分布及因素的大空间变化

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摘要

The estimation of forest water retention based on observation and experimental data can be used to accurately analyze large variations in the spatial distributions of the water retention capacity across China and explore factors affecting these large spatial variations at different scales. Therefore, we reviewed the relevant peer-reviewed literature to extract water retention parameters and their influencing factors throughout China via a meta-analysis approach. Furthermore, an empirical model and path analysis were used to explore the spatial distributions of and significant factors affecting the canopy interception capacity (CIC), litter maximum water-holding capacity (LWHC), soil water storage capacity (SSC) and forest water retention capacity (WRC) at the national and basin scales. The results showed that the spatial distributions of the CIC and LWHC exhibited opposite trends in China. The average CIC values in the Pearl River Basin (PRB), Southeast Rivers Basin (SERB), Southwest Rivers Basin (SWRB) and Yangtze River Basin (YTRB) were two times higher than those in the Songhua River Basin (SHRB), Liao River Basin (LRB) and Northwest Rivers Basin (NWRB). In addition, the SSC values accounted for approximately 60-85% of the WRC values in the different basins, soil types and forest types. The average SSC values in semi-alfisol and ferralsol were 2.5 times higher than those in semi-hydromorphic soil and pedocal. Moreover, the effects of some factors such as location, terrain and canopy structure on the CIC, LWHC, SSC and WRC values were significant in only certain basins, but these effects were not significant throughout China. The indirect effects of some climatic, location and terrain factors on the CIC, LWHC, SSC and WRC values determined the total effects. These results can contribute to a better understanding of the large spatial variations in WRC and provide a scientific basis for the improvement of the forest water retention function across China.
机译:基于观察和实验数据的森林水保留估计可用于准确地分析中国水保留能力的空间分布的大变化,并探讨影响不同尺度的这些大空间变化的因素。因此,我们审查了相关的同行评审文献,以通过元分析方法提取水保留参数及其影响因素。此外,使用实证模型和路径分析来探讨影响冠层截取能力(CIC),凋落物最大水控容量(LWHC),土壤蓄水量(SSC)和森林水保留容量的空间分布和显着因素(WRC)在国家和盆地鳞片上。结果表明,CIC和LWHO的空间分布在中国表现出相反的趋势。珠江流域(PRB),东南河流盆(SERB),西南河流盆(SWRB)和长江盆地(YTRB)的平均CIC值分别高于松花河流域(SHRB),辽河盆地(LRB)和西北河流盆(NWRB)。此外,SSC值占不同盆地,土壤类型和森林类型的WRC值的约60-85%。 Semi-Alfisol和二甲苯醇中的平均SSC值比半水形晶体土壤和脚本的平均SSC值高​​2.5倍。此外,在CIC,LWHC,SSC和WRC值上的某些因素(如地区,地形和冠层结构)的影响仅在某些盆地中显着,但这些影响在中国不大。在CIC,LWHC,SSC和WRC值上的一些气候,位置和地形因素的间接影响确定了总效果。这些结果可以更好地了解WRC的大量空间变化,为改善中国森林水保留功能提供科学依据。

著录项

  • 来源
    《Ecological indicators》 |2020年第6期|106152.1-106152.16|共16页
  • 作者单位

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Land Surface Pattern & Simulat Beijing 100101 Peoples R China|Jiangsu Prov Surveying & Mapping Engn Inst Nanjing 210013 Peoples R China|Shandong Univ Sci & Technol Coll Geodesy & Geomat Qingdao 266590 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Land Surface Pattern & Simulat Beijing 100101 Peoples R China|Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China;

    Shandong Univ Sci & Technol Coll Geodesy & Geomat Qingdao 266590 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Land Surface Pattern & Simulat Beijing 100101 Peoples R China|Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    China; Forest water retention; Meta-analysis; Path analysis; Spatial distribution; Factor;

    机译:中国;森林水保留;荟萃分析;路径分析;空间分布;因素;

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