Estimations of forest water retention across China from an observation site-scale to a national-scale

Hydrological models or remote sensing methods are often used to estimate water retention amounts and to analyze large spatial variations in water retention across large scales. However, the accuracies of hydrological models and remote sensing data are far lower than those of site-observational data....

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Autores principales:	Xi Wu, Wenjiao Shi, Fulu Tao
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	China Forest water retention Random forest model Spatial pattern Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/e35fbada51894890bdc3409322c4d421
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spelling	oai:doaj.org-article:e35fbada51894890bdc3409322c4d4212021-12-01T05:01:45ZEstimations of forest water retention across China from an observation site-scale to a national-scale1470-160X10.1016/j.ecolind.2021.108274https://doaj.org/article/e35fbada51894890bdc3409322c4d4212021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009390https://doaj.org/toc/1470-160XHydrological models or remote sensing methods are often used to estimate water retention amounts and to analyze large spatial variations in water retention across large scales. However, the accuracies of hydrological models and remote sensing data are far lower than those of site-observational data. Here, we used 1045 observational sites of forest ecosystem across China and a random forest (RF) model for more accurate spatial prediction of canopy interception amount (CIA), litter maximum water-holding amount (LWHA), soil water storage amount (SSA), and forest water retention amount (WRA) of China. We found that the total forest WRA in China was 2325.87 × 108 m3, and the CIA, LWHA and SSA contributed 21.24%, 5.37% and 73.39%, respectively, to the WRA. The forest WRA in the basins of southern China including the Yangtze River Basin (YTRB), Songhua River Basin (SHRB), Southwest Rivers Basin (SWRB) and Pearl River Basin (PRB) accounted for 78.33% of the total forest WRA. The WRAs of subtropical needleleaf forest, temperate deciduous broadleaf forest, subtropical and tropical mountainous needleleaf forest, subtropical evergreen broadleaf forest, and cold and temperate mountainous needleleaf forest accounted for 50.61% of the total WRA in Chinese forests. The WRAs of cold and temperate forest types were relatively higher in the SHRB, Liao River Basin (LRB), Northwest Rivers Basin (NWRB), Hai River Basin (HRB) and Yellow River Basin (YRB) than in other basins, and the WRAs of subtropical and tropical forests types were relatively higher in the YTRB, Southeast Rivers Basin (SERB), SWRB, and PRB than in the other basins. This observation-based assessment can provide insight into spatial variations in different layers of the WRA including canopy, litter, and soil which can be used for forest resource management in China.Xi WuWenjiao ShiFulu TaoElsevierarticleChinaForest water retentionRandom forest modelSpatial patternEcologyQH540-549.5ENEcological Indicators, Vol 132, Iss , Pp 108274- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	China Forest water retention Random forest model Spatial pattern Ecology QH540-549.5
spellingShingle	China Forest water retention Random forest model Spatial pattern Ecology QH540-549.5 Xi Wu Wenjiao Shi Fulu Tao Estimations of forest water retention across China from an observation site-scale to a national-scale
description	Hydrological models or remote sensing methods are often used to estimate water retention amounts and to analyze large spatial variations in water retention across large scales. However, the accuracies of hydrological models and remote sensing data are far lower than those of site-observational data. Here, we used 1045 observational sites of forest ecosystem across China and a random forest (RF) model for more accurate spatial prediction of canopy interception amount (CIA), litter maximum water-holding amount (LWHA), soil water storage amount (SSA), and forest water retention amount (WRA) of China. We found that the total forest WRA in China was 2325.87 × 108 m3, and the CIA, LWHA and SSA contributed 21.24%, 5.37% and 73.39%, respectively, to the WRA. The forest WRA in the basins of southern China including the Yangtze River Basin (YTRB), Songhua River Basin (SHRB), Southwest Rivers Basin (SWRB) and Pearl River Basin (PRB) accounted for 78.33% of the total forest WRA. The WRAs of subtropical needleleaf forest, temperate deciduous broadleaf forest, subtropical and tropical mountainous needleleaf forest, subtropical evergreen broadleaf forest, and cold and temperate mountainous needleleaf forest accounted for 50.61% of the total WRA in Chinese forests. The WRAs of cold and temperate forest types were relatively higher in the SHRB, Liao River Basin (LRB), Northwest Rivers Basin (NWRB), Hai River Basin (HRB) and Yellow River Basin (YRB) than in other basins, and the WRAs of subtropical and tropical forests types were relatively higher in the YTRB, Southeast Rivers Basin (SERB), SWRB, and PRB than in the other basins. This observation-based assessment can provide insight into spatial variations in different layers of the WRA including canopy, litter, and soil which can be used for forest resource management in China.
format	article
author	Xi Wu Wenjiao Shi Fulu Tao
author_facet	Xi Wu Wenjiao Shi Fulu Tao
author_sort	Xi Wu
title	Estimations of forest water retention across China from an observation site-scale to a national-scale
title_short	Estimations of forest water retention across China from an observation site-scale to a national-scale
title_full	Estimations of forest water retention across China from an observation site-scale to a national-scale
title_fullStr	Estimations of forest water retention across China from an observation site-scale to a national-scale
title_full_unstemmed	Estimations of forest water retention across China from an observation site-scale to a national-scale
title_sort	estimations of forest water retention across china from an observation site-scale to a national-scale
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e35fbada51894890bdc3409322c4d421
work_keys_str_mv	AT xiwu estimationsofforestwaterretentionacrosschinafromanobservationsitescaletoanationalscale AT wenjiaoshi estimationsofforestwaterretentionacrosschinafromanobservationsitescaletoanationalscale AT fulutao estimationsofforestwaterretentionacrosschinafromanobservationsitescaletoanationalscale
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Estimations of forest water retention across China from an observation site-scale to a national-scale

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