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Akademický článek

Effects of different vegetation restoration models on soil nutrients in the water level fluctuation zone of a large reservoir

Autor: Bai Qinfei, Bao Yuhai, Yu Yantong, Yang Jie, Wang Yanqi, Wei Jie

Publikováno v: Ecological Indicators, Vol 169, Iss , Pp 112955- (2024)

Vegetation restoration is synergistic with restoring riparian ecosystems to enhance soil quality in the water level fluctuation zone (WLFZ), which is degraded by repeated inundations and cyclical fluctuations of reservoir water levels. Assessing the

Externí odkaz: https://doaj.org/article/bd27d09f8ad14c5bb7d04e4ea703d29e

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Akademický článek

Effects of Vegetation Restoration Patterns on Soil Water-stable Aggregates Composition and Their Stability in the Water Level Fluctuation Zone of the Heilongtan Reservoir

Autor: BAI Qinfei, WANG Yanqi, BAO Yuhai, HE Xiubin, LUO Peng, WEI Jie

Publikováno v: Shuitu Baochi Xuebao, Vol 38, Iss 3, Pp 168-176 (2024)

[Objective] This study aimed at elucidating the effects of different vegetation restoration modes on soil water-stable aggregates and stability in the water level fluctuation zone (WLFZ). [Methods] The characteristics of soil water-stable aggregates

Externí odkaz: https://doaj.org/article/fa4e164098f84cc09f08ece5cebe51bc

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Akademický článek

Remote Sensing Assessment of the Net Value of Ecosystem Services for Coastal Wetland Restoration and Management

Autor: REN Lingqi, REN Guangbo, WANG Jianbu, HU Yabin, MA Yi, BAO Yuhai

Publikováno v: Haiyang Kaifa yu guanli, Vol 41, Iss 3, Pp 28-44 (2024)

Based on the concept of ecosystem service value, this study proposes a method for estimating the net value of ecosystem services considering cost inputs, and estimates and analyzes the net value of ecosystem services in the Yellow River Estuary wetla

Externí odkaz: https://doaj.org/article/1dcd93960e41437882512f83b881264d

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Akademický článek

Using Back Propagation Neural Network Algorithm and Remote Sensing to Estimate Lake Water Transparency

Autor: DIAO Ruixiang, QING Song, YUE Yalei, WANG Fang, LIU Nan, HAO Yanling, BAO Yuhai

Publikováno v: Guan'gai paishui xuebao, Vol 41, Iss 8, Pp 114-121 (2022)

【Objective】 Water transparency (depth of the secchi disk) is an important index to quantify quality of lake water but is difficult to measure in-situ at large scale. In this paper, we proposed a new method to estimate lake water transparency. 【

Externí odkaz: https://doaj.org/article/8dfb5a89e81644f19d943a7c07014c6b

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