Soil moisture stability of rangeland is higher than that of woodland and cropland in the Loess Plateau, China

Soil moisture (SM) affects ecosystem homeostasis through interactions among land use type (LUT), precipitation, heat and human activity (HA). In the core areas of China Loess Plateau, we selected three sites along gradients of annual precipitation and annual accumulated temperature ≥ 0℃ and compare...

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Main Authors: Xiaojuan Huang, Yue Liu, Yiming Cong, Yuwen Zhang, Xinzhou Zhao, Ling Huang, Qiqi Li, Lan Li, Fujiang Hou
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X22010160
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author Xiaojuan Huang
Yue Liu
Yiming Cong
Yuwen Zhang
Xinzhou Zhao
Ling Huang
Qiqi Li
Lan Li
Fujiang Hou
author_facet Xiaojuan Huang
Yue Liu
Yiming Cong
Yuwen Zhang
Xinzhou Zhao
Ling Huang
Qiqi Li
Lan Li
Fujiang Hou
author_sort Xiaojuan Huang
collection DOAJ
description Soil moisture (SM) affects ecosystem homeostasis through interactions among land use type (LUT), precipitation, heat and human activity (HA). In the core areas of China Loess Plateau, we selected three sites along gradients of annual precipitation and annual accumulated temperature ≥ 0℃ and compare SM variations among three LUTs, including cropland, woodland, and rangeland, and in three precipitation years, including dry, wet, and normal year. The SM of three LUTs were sensitive to wet years in the north, dry years in the south, and both wet and dry years in the middle, respectively. From north to south, water use (WU) increased while water use efficiency (WUE) decreased. The WU for cropland was the highest and WUE was the lowest, while rangeland had the opposite tendency. The mean annual water deficiencies for cropland, rangeland and woodland were 42.41 mm, 21.38 mm, and 15.49 mm, respectively. HA for three LUTs increased as precipitation increased and the order was cropland > woodland > rangeland. The stability of SM to precipitation was as following order: rangeland > woodland > cropland. Rangeland was insensitive to precipitation, while cropland was sensitive to precipitation. Productivity of rangeland and cropland were stabilized mainly by increasing resistance to SM and the resilience to SM, respectively. To maximize the WUE of the rain fed system and enhance the stability of SM, the area ratios of cropland, woodland, and rangeland were recommended as 4:2:19, 3:2:5 and 3:2:4 in the northern, central, and southern regions, respectively.
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spelling doaj.art-090b3f7da2444d57b3de44654c1c1b432022-12-22T03:25:54ZengElsevierEcological Indicators1470-160X2022-11-01144109543Soil moisture stability of rangeland is higher than that of woodland and cropland in the Loess Plateau, ChinaXiaojuan Huang0Yue Liu1Yiming Cong2Yuwen Zhang3Xinzhou Zhao4Ling Huang5Qiqi Li6Lan Li7Fujiang Hou8State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou 730020, ChinaState Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou 730020, ChinaState Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou 730020, ChinaState Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou 730020, ChinaState Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou 730020, ChinaState Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou 730020, ChinaState Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou 730020, ChinaState Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou 730020, ChinaState Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, Lanzhou University, Lanzhou 730020, China; Corresponding author at: State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.Soil moisture (SM) affects ecosystem homeostasis through interactions among land use type (LUT), precipitation, heat and human activity (HA). In the core areas of China Loess Plateau, we selected three sites along gradients of annual precipitation and annual accumulated temperature ≥ 0℃ and compare SM variations among three LUTs, including cropland, woodland, and rangeland, and in three precipitation years, including dry, wet, and normal year. The SM of three LUTs were sensitive to wet years in the north, dry years in the south, and both wet and dry years in the middle, respectively. From north to south, water use (WU) increased while water use efficiency (WUE) decreased. The WU for cropland was the highest and WUE was the lowest, while rangeland had the opposite tendency. The mean annual water deficiencies for cropland, rangeland and woodland were 42.41 mm, 21.38 mm, and 15.49 mm, respectively. HA for three LUTs increased as precipitation increased and the order was cropland > woodland > rangeland. The stability of SM to precipitation was as following order: rangeland > woodland > cropland. Rangeland was insensitive to precipitation, while cropland was sensitive to precipitation. Productivity of rangeland and cropland were stabilized mainly by increasing resistance to SM and the resilience to SM, respectively. To maximize the WUE of the rain fed system and enhance the stability of SM, the area ratios of cropland, woodland, and rangeland were recommended as 4:2:19, 3:2:5 and 3:2:4 in the northern, central, and southern regions, respectively.http://www.sciencedirect.com/science/article/pii/S1470160X22010160Land use typeWater use efficiencyWater balanceResistanceResilience
spellingShingle Xiaojuan Huang
Yue Liu
Yiming Cong
Yuwen Zhang
Xinzhou Zhao
Ling Huang
Qiqi Li
Lan Li
Fujiang Hou
Soil moisture stability of rangeland is higher than that of woodland and cropland in the Loess Plateau, China
Ecological Indicators
Land use type
Water use efficiency
Water balance
Resistance
Resilience
title Soil moisture stability of rangeland is higher than that of woodland and cropland in the Loess Plateau, China
title_full Soil moisture stability of rangeland is higher than that of woodland and cropland in the Loess Plateau, China
title_fullStr Soil moisture stability of rangeland is higher than that of woodland and cropland in the Loess Plateau, China
title_full_unstemmed Soil moisture stability of rangeland is higher than that of woodland and cropland in the Loess Plateau, China
title_short Soil moisture stability of rangeland is higher than that of woodland and cropland in the Loess Plateau, China
title_sort soil moisture stability of rangeland is higher than that of woodland and cropland in the loess plateau china
topic Land use type
Water use efficiency
Water balance
Resistance
Resilience
url http://www.sciencedirect.com/science/article/pii/S1470160X22010160
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