Yang Luo, Quan Yang, Junjie Zhou, Chunxia Jian, Zhifei Chen, Peifeng Xiong, Jairo A. Palta, Bingcheng Xu
{"title":"Aboveground biomass determines canopy rainfall interception loss in Semiarid Grassland Communities","authors":"Yang Luo, Quan Yang, Junjie Zhou, Chunxia Jian, Zhifei Chen, Peifeng Xiong, Jairo A. Palta, Bingcheng Xu","doi":"10.1002/eco.2677","DOIUrl":null,"url":null,"abstract":"<p>Canopy rainfall interception is one key hydrological process, affecting rainwater redistribution and effectiveness in semiarid regions. Canopy rainfall interception loss is jointly influenced by meteorology, vegetation and topography. The canopy water storage capacity (S), rainfall interception depth (I<sub>m</sub>) and ratio (I<sub>%</sub>) and vegetation characteristics, together with topographic factors of three grassland communities (dominated by <i>Bothriochloa ischaemum</i>, <i>Lespedeza davurica</i> and <i>Artemisia gmelinii</i>, respectively) were investigated on the Loess Plateau of China during the main growing season (June to September). Results showed that I<sub>m</sub> ranged from 0.55 to 0.89 mm and I<sub>%</sub> ranged from 6.14% to 12.1%, with the maximum values occurring in August for three communities, and <i>A. gmelinii</i> community had the largest I<sub>m</sub> (0.89 mm) and I<sub>%</sub> (12.1%). The I<sub>m</sub> and I<sub>%</sub> were positively correlated with aboveground biomass (AGB), coverage (Cov), leaf area index (LAI), community-weighted mean height (CWMH) and altitude (Alt), but negatively correlated with slope degree and rainfall intensity (RI). Hierarchical partitioning analysis (HPA) showed that AGB had the highest contribution for I<sub>m</sub> (20.3%), while Alt had the highest contribution for I<sub>%</sub> (18.2%). The regression models based on forward selection could effectively predict the values of I<sub>m</sub> (R<sup>2</sup> = 0.802, RMSE = 0.049) and I<sub>%</sub> (R<sup>2</sup> = 0.546, RMSE = 1.434). Topographic factors (altitude, slope degree and aspect) indirectly influenced both I<sub>m</sub> and I<sub>%</sub> by modulating vegetation characteristics (AGB, Cov, etc.). All these indicated that aboveground biomass mainly determines grassland community rainfall interception loss in the semiarid Loess Plateau.</p>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"17 6","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecohydrology","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/eco.2677","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Canopy rainfall interception is one key hydrological process, affecting rainwater redistribution and effectiveness in semiarid regions. Canopy rainfall interception loss is jointly influenced by meteorology, vegetation and topography. The canopy water storage capacity (S), rainfall interception depth (Im) and ratio (I%) and vegetation characteristics, together with topographic factors of three grassland communities (dominated by Bothriochloa ischaemum, Lespedeza davurica and Artemisia gmelinii, respectively) were investigated on the Loess Plateau of China during the main growing season (June to September). Results showed that Im ranged from 0.55 to 0.89 mm and I% ranged from 6.14% to 12.1%, with the maximum values occurring in August for three communities, and A. gmelinii community had the largest Im (0.89 mm) and I% (12.1%). The Im and I% were positively correlated with aboveground biomass (AGB), coverage (Cov), leaf area index (LAI), community-weighted mean height (CWMH) and altitude (Alt), but negatively correlated with slope degree and rainfall intensity (RI). Hierarchical partitioning analysis (HPA) showed that AGB had the highest contribution for Im (20.3%), while Alt had the highest contribution for I% (18.2%). The regression models based on forward selection could effectively predict the values of Im (R2 = 0.802, RMSE = 0.049) and I% (R2 = 0.546, RMSE = 1.434). Topographic factors (altitude, slope degree and aspect) indirectly influenced both Im and I% by modulating vegetation characteristics (AGB, Cov, etc.). All these indicated that aboveground biomass mainly determines grassland community rainfall interception loss in the semiarid Loess Plateau.
期刊介绍:
Ecohydrology is an international journal publishing original scientific and review papers that aim to improve understanding of processes at the interface between ecology and hydrology and associated applications related to environmental management.
Ecohydrology seeks to increase interdisciplinary insights by placing particular emphasis on interactions and associated feedbacks in both space and time between ecological systems and the hydrological cycle. Research contributions are solicited from disciplines focusing on the physical, ecological, biological, biogeochemical, geomorphological, drainage basin, mathematical and methodological aspects of ecohydrology. Research in both terrestrial and aquatic systems is of interest provided it explicitly links ecological systems and the hydrologic cycle; research such as aquatic ecological, channel engineering, or ecological or hydrological modelling is less appropriate for the journal unless it specifically addresses the criteria above. Manuscripts describing individual case studies are of interest in cases where broader insights are discussed beyond site- and species-specific results.