1
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Thulin CG, Chen Y, Garrido P. Semi-Feral Horse Grazing Benefits the Grassland Diversity of Flowering Plants Including a Pollinator-Promoting Indicator Species. Animals (Basel) 2025; 15:862. [PMID: 40150391 PMCID: PMC11939236 DOI: 10.3390/ani15060862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2025] [Revised: 03/13/2025] [Accepted: 03/13/2025] [Indexed: 03/29/2025] Open
Abstract
European grasslands and their biodiversity are declining rapidly due to land use changes, which highlight the need to develop effective restoration strategies. This study investigates the impact of reintroducing the Swedish national horse breed (the Gotland Russ) on grassland plant diversity and evenness in abandoned agricultural landscapes in Southeast Sweden. Twelve horses were introduced into three 10-13-hectare enclosure replicates (four horses per enclosure) in a three-year (2014-2016) rewilding experiment. Plant species richness, evenness, and diversity were investigated in both grazed and un-grazed conditions. The results indicate that horse grazing significantly increased grassland plant species diversity and richness, with higher Shannon and Simpson's diversity indices in grazed areas. In addition, the abundance of white clover (Trifolium repens), a signal species beneficial to pollinators, increased significantly in grazed areas. These findings emphasize the need for integrating large herbivore grazing into ecological restoration practices. Considering the recently enacted EU Nature Restoration Law, which aims to restore 20% of Europe's degraded ecosystems by 2030, this research provides critical insights into scalable restoration methods. The implementation of restoration strategies that include large herbivores may enhance the resilience and biodiversity of European grasslands, thereby aligning with the EU's restoration goals.
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Affiliation(s)
- Carl-Gustaf Thulin
- Department of Animal Biosciences, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden; (Y.C.); (P.G.)
| | - Yufei Chen
- Department of Animal Biosciences, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden; (Y.C.); (P.G.)
| | - Pablo Garrido
- Department of Animal Biosciences, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden; (Y.C.); (P.G.)
- Natural Capital Foundation (Fundación Patrimonio Natural de Castilla y León), 470 08 Valladolid, Spain
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2
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Shi J, Gong J, Zhang Y, Kan G. Spatiotemporal change in ecological quality of the Qinghai-Tibetan Plateau based on an improved remote sensing ecological index and Google Earth Engine platform. ENVIRONMENTAL MONITORING AND ASSESSMENT 2025; 197:355. [PMID: 40045055 DOI: 10.1007/s10661-025-13805-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2024] [Accepted: 02/19/2025] [Indexed: 04/11/2025]
Abstract
The Qinghai-Tibetan Plateau (QTP) serves as a vital ecological security barrier in China and globally. Evaluating changes in ecological quality on the QTP provides critical insights for regional conservation initiatives. This study, tailored to the unique characteristics of the region, develops an Improved Remote Sensing Ecological Index (IRSEI) framework by integrating Gross Primary Productivity (GPP) with the Normalized Difference Vegetation Index (NDVI), humidity (WET), Land Surface Temperature (LST), and the Negative Drought Index (NDBSI). This comprehensive index aims to provide a more precise assessment of the environmental quality of the alpine ecosystem. It investigates spatial and temporal variations in ecological quality across the QTP, as well as within individual geographic subregions from 2000 to 2020. The first principal component accounts for an average variance of 63.69%. Over the past 20 years, the spatial distribution pattern of IRSEI on the QTP has shown lower values in the northwest, higher values in the southeast, and predominantly poor grades throughout the region. The mean trend coefficient for IRSEI was 0.002, indicating a gradual improvement in ecological quality on the QTP over time. Among 11 influencing factors examined, NDVI and GPP exhibit significant positive correlation with ecological quality, with q statistics of 0.942 and 0.932, respectively, underscoring the substantial impact of vegetation cover on ecosystem quality. These findings provide a robust theoretical foundation for supporting ecological management, restoration efforts, and the evaluation of ecological restoration within the QTP, thereby promoting ecosystem balance.
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Affiliation(s)
- Jing Shi
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
- Key Laboratory of Western China'S Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou, 730000, China
- Center for Remote Sensing of Ecological Environments in Cold and Arid Regions, Lanzhou University, Lanzhou, 730000, China
| | - Jie Gong
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China.
- Key Laboratory of Western China'S Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou, 730000, China.
- Center for Remote Sensing of Ecological Environments in Cold and Arid Regions, Lanzhou University, Lanzhou, 730000, China.
- Data Intelligence Laboratory of Tibetan Plateau Humanistic Environment, Lanzhou University, Lanzhou, 730000, China.
| | - Yunxia Zhang
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
- Qinghai Institute of Technology, Xining, 810000, China
| | - Guobin Kan
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
- Key Laboratory of Western China'S Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou, 730000, China
- Center for Remote Sensing of Ecological Environments in Cold and Arid Regions, Lanzhou University, Lanzhou, 730000, China
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3
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Wang L, Wang Y, Sun D, Wang J, Lee SJ, Viscarra Rossel RA, Gan Y. Soil carbon stocks in temperate grasslands reach equilibrium with grazing duration. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:175081. [PMID: 39069182 DOI: 10.1016/j.scitotenv.2024.175081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 07/13/2024] [Accepted: 07/25/2024] [Indexed: 07/30/2024]
Abstract
Lost soil organic carbon (SOC) in degraded grasslands can be restored via the 'grazing exclusion' practice, but it was unknown how long (# of years) the restoration process can take. A synthesis of four decades of studies revealed that grazing exclusion increased SOC stocks in the topsoil (0-0.30 m) by 14.8 % (±0.8 Std Err), on average, compared to moderate-to-heavy grazing (MtH); During which SOC stock increased steadily, peaked in Year 18.5, and then declined. At peak, SOC stock was 42.5 % greater under grazing exclusion than under MtH due to 100.4 ± 4.2 % increase in aboveground biomass and 80.3 ± 33.5 % increase in root biomass. Grazing exclusion also increased soil C:N ratio by 7.6 % while decreasing bulk density by 9.4 %. Grazing exclusion could be ceased 18.5 years after initiation of grazing exclusion as plant biomass input balances carbon decomposition and SOC equilibrium occurs then additional benefits start diminishing.
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Affiliation(s)
- Li Wang
- College of Life and Environmental Science, State & Local Joint Engineering Research Center for Ecological Treatment Technology of Urban Water Pollution, Zhejiang Provincial Key Lab for Water Environment and Marine Biological Resources Protection, Zhejiang Provincial Collaborative Innovation Center for Tideland Reclamation and Ecological Protection, Wenzhou University, Wenzhou, Zhejiang 325035, China
| | - Yijia Wang
- College of Life and Environmental Science, State & Local Joint Engineering Research Center for Ecological Treatment Technology of Urban Water Pollution, Zhejiang Provincial Key Lab for Water Environment and Marine Biological Resources Protection, Zhejiang Provincial Collaborative Innovation Center for Tideland Reclamation and Ecological Protection, Wenzhou University, Wenzhou, Zhejiang 325035, China
| | - Dandi Sun
- College of Life and Environmental Science, State & Local Joint Engineering Research Center for Ecological Treatment Technology of Urban Water Pollution, Zhejiang Provincial Key Lab for Water Environment and Marine Biological Resources Protection, Zhejiang Provincial Collaborative Innovation Center for Tideland Reclamation and Ecological Protection, Wenzhou University, Wenzhou, Zhejiang 325035, China
| | - Junying Wang
- College of Life and Environmental Science, State & Local Joint Engineering Research Center for Ecological Treatment Technology of Urban Water Pollution, Zhejiang Provincial Key Lab for Water Environment and Marine Biological Resources Protection, Zhejiang Provincial Collaborative Innovation Center for Tideland Reclamation and Ecological Protection, Wenzhou University, Wenzhou, Zhejiang 325035, China
| | - Soon-Jae Lee
- Department of Ecology and Evolution, University of Lausanne, Lausanne CH1015, Switzerland
| | | | - Yantai Gan
- College of Life and Environmental Science, State & Local Joint Engineering Research Center for Ecological Treatment Technology of Urban Water Pollution, Zhejiang Provincial Key Lab for Water Environment and Marine Biological Resources Protection, Zhejiang Provincial Collaborative Innovation Center for Tideland Reclamation and Ecological Protection, Wenzhou University, Wenzhou, Zhejiang 325035, China; Agroecosystems, The UBC-Soil Group, Tallus Heights, Kelowna, BC V4T 3M2, Canada.
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4
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Sandoval‐Calderon AP, Rubio Echazarra N, van Kuijk M, Verweij PA, Soons M, Hautier Y. The effect of livestock grazing on plant diversity and productivity of mountainous grasslands in South America - A meta-analysis. Ecol Evol 2024; 14:e11076. [PMID: 38628914 PMCID: PMC11019300 DOI: 10.1002/ece3.11076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 04/19/2024] Open
Abstract
Mountainous grasslands in South America, characterized by their high diversity, provide a wide range of contributions to people, including water regulation, soil erosion prevention, livestock feed provision, and preservation of cultural heritage. Prior research has highlighted the significant role of grazing in shaping the diversity and productivity of grassland ecosystems, especially in highly productive, eutrophic systems. In such environments, grazing has been demonstrated to restore grassland plant diversity by reducing primary productivity. However, it remains unclear whether these findings are applicable to South American mountainous grasslands, where plants are adapted to different environmental conditions. To address this uncertainty, we conducted a meta-analysis of experiments excluding livestock grazing to assess its impact on plant diversity and productivity across mountainous grasslands in South America. In alignment with studies in temperate grasslands, our findings indicated that herbivore exclusion resulted in increased aboveground biomass but reduced species richness and Shannon diversity. The effects of grazing exclusion became more pronounced with longer durations of exclusion; nevertheless, they remained resilient to various climatic conditions, including mean annual precipitation and mean annual temperature, as well as the evolutionary history of grazing. In contrast to results observed in temperate grasslands, the reduction in species richness due to herbivore exclusion was not associated with increased aboveground biomass. This suggests that the processes governing (sub)tropical grassland plant diversity may differ from those in temperate grasslands. Consequently, further research is necessary to better understand the specific factors influencing plant diversity and productivity in South American montane grasslands and to elucidate the ecological implications of herbivore exclusion in these unique ecosystems.
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Affiliation(s)
- Ana Patricia Sandoval‐Calderon
- Ecology & Biodiversity Group, Department of BiologyUtrecht UniversityUtrechtThe Netherlands
- Herbario Nacional de Bolivia (LPB)San Andres UniversityLa PazBolivia
| | - Nerea Rubio Echazarra
- Ecology & Biodiversity Group, Department of BiologyUtrecht UniversityUtrechtThe Netherlands
| | - Marijke van Kuijk
- Ecology & Biodiversity Group, Department of BiologyUtrecht UniversityUtrechtThe Netherlands
| | - Pita A. Verweij
- Copernicus Institute of Sustainable DevelopmentUtrecht UniversityUtrechtThe Netherlands
| | - Merel Soons
- Copernicus Institute of Sustainable DevelopmentUtrecht UniversityUtrechtThe Netherlands
| | - Yann Hautier
- Ecology & Biodiversity Group, Department of BiologyUtrecht UniversityUtrechtThe Netherlands
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5
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Wang X, Wang Z, Miao H, Zhang C, Zou H, Yang Y, Zhang Z, Liu J. Appropriate livestock grazing alleviates the loss of plant diversity and maintains community resistance in alpine meadows. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 351:119850. [PMID: 38141346 DOI: 10.1016/j.jenvman.2023.119850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 12/07/2023] [Accepted: 12/11/2023] [Indexed: 12/25/2023]
Abstract
Alpine meadows constitute one of the major ecosystems on the Qinghai-Tibetan Plateau, with livestock grazing exerting a considerable impact on their biodiversity. However, the degree to which plant diversity influences community stability under different grazing intensities remains unclear in this region. This study conducted controlled grazing experiments across four levels of grazing intensity (no-, low-, medium-, and high-grazing) based on herbage utilization rate to assess the influence of grazing intensities on plant community structure and diversity-stability relationships. We discovered that high-grazing reduced plant diversity and attenuated the temporal stability and resistance of above-ground biomass. No- and low-grazing could alleviate plant biomass loss, with community resistance being optimal under low-grazing. The direct effects of livestock grazing on temporal stability were found to be negligible. Plant characteristics and diversity accounted for a substantial proportion of livestock grazing effects on community resistance (R2 = 0.46), as revealed by piecewise structural equation model analysis. The presence of plant diversity enhances the resistance of alpine meadows against disturbance and accelerates the recovery after grazing. Our results suggest that low-grazing intensity may represent a judicious option for preserving species diversity and community stability on the Qinghai-Tibetan Plateau.
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Affiliation(s)
- Xiaofang Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Center for Grassland Microbiome, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Zaiwei Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Center for Grassland Microbiome, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Haitao Miao
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Center for Grassland Microbiome, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Chunping Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Center for Grassland Microbiome, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Hao Zou
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Center for Grassland Microbiome, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Yunfeng Yang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.
| | - Zhenghua Zhang
- Qinghai Haibei National Field Research Station of Alpine Grassland Ecosystem and Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810008, China
| | - Jie Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Center for Grassland Microbiome, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China.
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6
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Li J, Huang L, Cao W, Wang J, Fan J, Xu X, Tian H. Benefits, potential and risks of China's grassland ecosystem conservation and restoration. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167413. [PMID: 37769742 DOI: 10.1016/j.scitotenv.2023.167413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 09/24/2023] [Accepted: 09/25/2023] [Indexed: 10/03/2023]
Abstract
Severe threats from ongoing degradation undermine the grasslands to support ecosystem services, biodiversity, and human well-being. Unfortunately, grasslands are often underappreciated and ignored in sustainable development agendas. Despite a series of projects for Grassland Ecosystem Conservation and Restoration (GECR) been implemented in China, the effects and cost-effectiveness of these efforts remain uncertain and untested. Therefore, we developed an integrated assessment framework to evaluate the benefits of GECR, considering ecological value accounting and input-output efficiency estimation. Additionally, we projected potential and risk areas for GECR in the future. The results showed that in 2020, the annual ecological value of China's grassland ecosystem was CNY 246 trillion. The investment in GECR exceeded CNY 7 billion, leading to an ecological benefit of CNY 3478 billion, with an input-output ratio of 1:446. Over the past 20 years, GECR positively impacted nearly 90 % of China's grassland. Furthermore, grasslands in southern provinces with favorable hydrothermal conditions exhibited significantly higher GECR efficiency, boasting an input-output ratio of >1:2000. The arid and semi-arid northern grasslands and the alpine grasslands on the Tibetan Plateau, despite being the main regions for animal husbandry development and GECR, exhibited comparatively lower efficiency and input-output ratio in GECR. Moreover, the central and northwest parts of Tibet showed higher potential and lower risk, indicating their greatest likelihood of benefiting from GECR in the future. Meanwhile, Hulunbeier and Inner Mongolia deserve more special attention to reverse degradation and mitigate climate change due to their lower potential and higher risks. Our study provides an important basis for prioritizing and implementing effective and sustainable GECR treatment methods.
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Affiliation(s)
- Jiahui Li
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lin Huang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Wei Cao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Jian Wang
- University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Jiangwen Fan
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Xinliang Xu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Haijing Tian
- Academy of Forestry Inventory and Planning, National Forestry and Grassland Administration, Beijing 100714, China; Grassland monitoring Center, National Forestry and Grassland Administration, Beijing 100714, China
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7
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Takola E, Bonfanti J, Seppelt R, Beckmann M. An open-access global database of meta-analyses investigating yield and biodiversity responses to different management practices. Data Brief 2023; 51:109696. [PMID: 37965610 PMCID: PMC10641118 DOI: 10.1016/j.dib.2023.109696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/04/2023] [Accepted: 10/12/2023] [Indexed: 11/16/2023] Open
Abstract
We here present a database of evidence on the impact of agricultural management practices on biodiversity and yield. This database is the result of a systematic literature review, that aimed to identify meta-analyses that use as their response variables any measure of biodiversity and yield. After screening more than 1,086 titles and abstracts, we identified 33 relevant meta-analyses, from which we extracted the overall estimates, the subgroup estimates as well as all information related to them (effect size metric, taxonomic group, crop type etc.). We also extracted information relative to the empirical studies used for each meta-analysis and recorded the countries in which they took place and assessed the quality of each meta-analysis. Our dataset is publicly accessible and can be used for conducting second-order meta-analyses on the effect of management measures on species richness, taxon abundance, biomass and yields. It can also be used to create evidence maps on agriculture-related questions.
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Affiliation(s)
- Elina Takola
- Department of Computational Landscape Ecology, UFZ—Helmholtz Centre for Environmental Research, Permoserstrasse 15, Leipzig, 04318, Germany
| | - Jonathan Bonfanti
- Eco&Sols, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Ralf Seppelt
- Department of Computational Landscape Ecology, UFZ—Helmholtz Centre for Environmental Research, Permoserstrasse 15, Leipzig, 04318, Germany
- Institute of Geoscience & Geography, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Puschstrasse 4, 04103 Leipzig, Germany
| | - Michael Beckmann
- Department of Computational Landscape Ecology, UFZ—Helmholtz Centre for Environmental Research, Permoserstrasse 15, Leipzig, 04318, Germany
- Department of Agriculture, Ecotrophology and Landscape Development, Anhalt University of Applied Sciences, 06406 Bernburg, Germany
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8
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Ji W, Luo Y, Liao Y, Wu W, Wei X, Yang Y, He XZ, Shen Y, Ma Q, Yi S, Sun Y. UAV Assisted Livestock Distribution Monitoring and Quantification: A Low-Cost and High-Precision Solution. Animals (Basel) 2023; 13:3069. [PMID: 37835675 PMCID: PMC10571782 DOI: 10.3390/ani13193069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/23/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
Grazing management is one of the most widely practiced land uses globally. Quantifying the spatiotemporal distribution of livestock is critical for effective management of livestock-grassland grazing ecosystem. However, to date, there are few convincing solutions for livestock dynamic monitor and key parameters quantification under actual grazing situations. In this study, we proposed a pragmatic method for quantifying the grazing density (GD) and herding proximities (HP) based on unmanned aerial vehicles (UAVs). We further tested its feasibility at three typical household pastures on the Qinghai-Tibetan Plateau, China. We found that: (1) yak herds grazing followed a rotational grazing pattern spontaneously within the pastures, (2) Dispersion Index of yak herds varied as an M-shaped curve within one day, and it was the lowest in July and August, and (3) the average distance between the yak herd and the campsites in the cold season was significantly shorter than that in the warm season. In this study, we developed a method to characterize the dynamic GD and HP of yak herds precisely and effectively. This method is ideal for studying animal behavior and determining the correlation between the distribution of pastoral livestock and resource usability, delivering critical information for the development of grassland ecosystem and the implementation of sustainable grassland management.
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Affiliation(s)
- Wenxiang Ji
- Institute of Fragile Eco-Environment, School of Geographic Science, Nantong University, 9 Seyuan Road, Nantong 226019, China (S.Y.)
| | - Yifei Luo
- Institute of Fragile Eco-Environment, School of Geographic Science, Nantong University, 9 Seyuan Road, Nantong 226019, China (S.Y.)
| | - Yafang Liao
- Institute of Fragile Eco-Environment, School of Geographic Science, Nantong University, 9 Seyuan Road, Nantong 226019, China (S.Y.)
| | - Wenjun Wu
- Institute of Fragile Eco-Environment, School of Geographic Science, Nantong University, 9 Seyuan Road, Nantong 226019, China (S.Y.)
| | - Xinyi Wei
- Institute of Fragile Eco-Environment, School of Geographic Science, Nantong University, 9 Seyuan Road, Nantong 226019, China (S.Y.)
| | - Yudie Yang
- Institute of Fragile Eco-Environment, School of Geographic Science, Nantong University, 9 Seyuan Road, Nantong 226019, China (S.Y.)
| | - Xiong Zhao He
- School of Agriculture and Environment, College of Science, Massey University, Private Bag 11222, Palmerston North 4442, New Zealand
| | - Yutong Shen
- Institute of Fragile Eco-Environment, School of Geographic Science, Nantong University, 9 Seyuan Road, Nantong 226019, China (S.Y.)
| | - Qingshan Ma
- Forestry Station of Huangnan Prefecture of Qinghai Province, 14 Regong Road, Tongren 811300, China
| | - Shuhua Yi
- Institute of Fragile Eco-Environment, School of Geographic Science, Nantong University, 9 Seyuan Road, Nantong 226019, China (S.Y.)
| | - Yi Sun
- Institute of Fragile Eco-Environment, School of Geographic Science, Nantong University, 9 Seyuan Road, Nantong 226019, China (S.Y.)
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9
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Zhan T, Zhao H, Zhang J, Cheng C, Zhang Z. Differential effects of grazing intensity on carbon sequestration in arid versus humid grasslands across China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 881:163221. [PMID: 37019229 DOI: 10.1016/j.scitotenv.2023.163221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 03/23/2023] [Accepted: 03/28/2023] [Indexed: 06/01/2023]
Abstract
Livestock grazing, as a primary utilization practice for grasslands, plays a crucial role in carbon cycling process and its budget. Whether the impacts of different grazing intensities on carbon sequestration vary with precipitation over a broad geographic scales across China's grasslands remains unclear. In the context of striving for carbon neutrality, we carried out a meta-analysis based on 156 peer-reviewed journal articles to synthesize the general impacts of different grazing intensities on carbon sequestration with different precipitations. Our results showed that light, moderate, and heavy grazing dramatically reduced the soil organic carbon stocks by 3.43 %, 13.68 %, and 16.77 % in arid grasslands, respectively (P < 0.05), while light and moderate grazing did not alter soil organic carbon stocks in humid grasslands (P > 0.05). Moreover, the change rates of soil organic carbon stocks were all tightly positively associated with those of soil water content under different grazing intensities (P < 0.05). Further analysis revealed strong positive relationships between mean annual precipitation with the change rates of above- and belowground biomasses, soil microbial biomass carbon, and soil organic carbon stocks under moderate grazing intensity (P < 0.05). These findings imply that carbon sequestration is relatively less tolerant to grazing disturbance in arid grasslands than humid grasslands, which may be primary due to the grazing-intensified water limitation for plant growth and soil microbial activities under low precipitation. Our study is of implication to predict carbon budget of China's grasslands and help adopt sustainable management to strive for carbon neutrality.
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Affiliation(s)
- Tianyu Zhan
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, Shandong, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Haotian Zhao
- Sichuan Engineering Technology Research Center of Geohazard Prevention, Chengdu 610081, China
| | - Jiaxi Zhang
- College of Tourism and Geographical Science, Leshan Normal University, Leshan 61400, China
| | - Chunyan Cheng
- College of Geography and Remote sensing Sciences, Xinjiang University, Urumqi 830046, China
| | - Zhenchao Zhang
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
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10
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Zhang Z, Hua T, Zhao Y, Li Y, Wang Y, Wang F, Sun J, Sun J. Divergent effects of moderate grazing duration on carbon sequestration between temperate and alpine grasslands in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159621. [PMID: 36280069 DOI: 10.1016/j.scitotenv.2022.159621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/10/2022] [Accepted: 10/18/2022] [Indexed: 06/16/2023]
Abstract
Moderate grazing has been widely proven to improve ecosystem functioning and have profound effects on the carbon cycling and storage in grassland ecosystems, which highly depend on grazing duration and grassland type. However, the effects of moderate grazing durations on carbon sequestration with different grassland types over broad geographic scales across China remain underexplored in the context of striving for carbon neutrality. Here, we explored the probably different responses of carbon sequestration to moderate grazing duration for temperate and alpine grasslands based on 129 published literatures regarding the China's grasslands. The results showed the soil organic carbon stocks were significantly increased during short-term (<5 years) grazing duration, while significantly decreased during medium- (5-10 years) and long-term (≥ 10 years) grazing durations in temperate grasslands. However, the soil organic carbon stocks were significantly decreased during short-term grazing duration, while showed no significant changes during medium- and long-term grazing durations in alpine grasslands. The changes in soil organic stock were significantly positively correlated with the changes in belowground biomass, root:shoot, and microbial biomass carbon (P < 0.05). These findings suggest that the temperate grasslands change from carbon sink to carbon source with moderate grazing duration increasing, while the alpine grasslands present an opposite change pattern from carbon source to carbon sink, regulated by grazing-altered carbon input and microbial activities. Our study might have significant implications for future sustainable management practices for carbon sequestration of China's grasslands.
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Affiliation(s)
- Zhenchao Zhang
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Ting Hua
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Yanhua Zhao
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Yanpeng Li
- School of Mapping and Geographic Information, Jiangxi College of Applied Technology, Ganzhou 341000, China
| | - Yi Wang
- School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Fei Wang
- Institute of Agricultural Information and Economics, Shandong Academy of Agricultural Sciences, No.23788, Industrial North Road, Jinan 250010, Shandong, China
| | - Juan Sun
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
| | - Jian Sun
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
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Zhang Z, Zhao Y, Lin H, Li Y, Fu J, Wang Y, Sun J, Zhao Y. Comprehensive analysis of grazing intensity impacts alpine grasslands across the Qinghai-Tibetan Plateau: A meta-analysis. FRONTIERS IN PLANT SCIENCE 2023; 13:1083709. [PMID: 36733589 PMCID: PMC9887153 DOI: 10.3389/fpls.2022.1083709] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 12/29/2022] [Indexed: 06/18/2023]
Abstract
Livestock grazing is a dominant practice in alpine grasslands and plays a crucial role in the ecosystem service of the Qinghai-Tibetan Plateau. The effects of grazing on alpine grasslands highly depends on grazing intensity. Up to now, we still lack comprehensive understanding of the general responses of alpine grasslands to different grazing intensities over broad geographic scales across the Qinghai-Tibetan Plateau. Here, we conducted a meta-analysis to explore the responses of plant characteristics and soil properties to grazing intensity in alpine grasslands of the Qinghai-Tibetan Plateau based on 52 peer-reviewed literatures. The results showed that grazing did not change the belowground biomass, while significantly increased the ratio of root to shoot (P< 0.05). Light grazing exhibited no significant effects on the plant richness, Shannon-Wiener diversity, soil water content, soil bulk density, nutrients, microbial biomass carbon, and microbial biomass nitrogen (P > 0.05). Moderate grazing significantly increased the plant richness and Shannon-Wiener diversity, while significantly decreased the soil organic carbon and total nitrogen (P< 0.05). Heavy grazing significantly decreased the plant richness, Shannon-Wiener diversity, water content, soil organic carbon, total nitrogen, microbial biomass carbon, and microbial biomass nitrogen, and significantly increased the soil bulk density (P< 0.05). These findings suggest that overgrazing is closely associated with grassland degradation, and moderate grazing is a sustainable practice to provide animal production and simultaneously maintain ecological functions for alpine grasslands on the Qinghai-Tibetan Plateau.
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Affiliation(s)
- Zhenchao Zhang
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao, Shandong, China
| | - Yiran Zhao
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao, Shandong, China
| | - Hao Lin
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao, Shandong, China
| | - Yanpeng Li
- School of Mapping and Geographic Information, Jiangxi College of Applied Technology, Ganzhou, China
| | - Jinmin Fu
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao, Shandong, China
| | - Yingxin Wang
- Grassland Research Center of National Forestry and Grassland Administration, Research Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, China
| | - Juan Sun
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao, Shandong, China
| | - Yanhua Zhao
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao, Shandong, China
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Ding L, Tian L, Li J, Zhang Y, Wang M, Wang P. Grazing lowers soil multifunctionality but boosts soil microbial network complexity and stability in a subtropical grassland of China. Front Microbiol 2023; 13:1027097. [PMID: 36687566 PMCID: PMC9849757 DOI: 10.3389/fmicb.2022.1027097] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/17/2022] [Indexed: 01/07/2023] Open
Abstract
Introduction Long-term grazing profoundly affects grassland ecosystems, whereas how the soil microbiome and multiple soil ecosystem functions alter in response to two-decades of grazing, especially how soil microbiome (diversity, composition, network complexity, and stability) forms soil multifunctionality is rarely addressed. Methods We used a long-term buffalo grazing grassland to measure the responses of soil physicochemical attributes, stoichiometry, enzyme activities, soil microbial niche width, structure, functions, and networks to grazing in a subtropical grassland of Guizhou Plateau, China. Results The evidence from this work suggested that grazing elevated the soil hardness, available calcium content, and available magnesium content by 6.5, 1.9, and 1.9 times (p = 0.00015-0.0160) and acid phosphatase activity, bulk density, pH by 59, 8, and 0.5 unit (p = 0.0014-0.0370), but decreased the soil water content, available phosphorus content, and multifunctionality by 47, 73, and 9-21% (p = 0.0250-0.0460), respectively. Grazing intensified the soil microbial carbon limitation (+78%, p = 0.0260) as indicated by the increased investment in the soil β-glucosidase activity (+90%, p = 0.0120). Grazing enhanced the complexity and stability of the bacterial and fungal networks but reduced the bacterial Simpson diversity (p < 0.05). The bacterial diversity, network complexity, and stability had positive effects, while bacterial and fungal compositions had negative effects on multifunctionality. Discussions This work is an original attempt to show that grazing lowered multifunctionality via the reduced bacterial diversity and shifted soil bacterial and fungal compositions rather than the enhanced bacterial and fungal network complexities and stability by grazing. Protecting the bacterial diversity from decreasing, optimizing the composition of bacteria and fungi, and enhancing the complexity and stability of bacterial network may be conducive to improving the soil multifunction of grazing grassland, on a subtropical grassland.
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Affiliation(s)
- Leilei Ding
- Guizhou Institute of Prataculture, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Lili Tian
- College of Life Science, Guizhou University, Guiyang, Guizhou, China
| | - Jingyi Li
- Guizhou Institute of Prataculture, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Yujun Zhang
- Guizhou Institute of Prataculture, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Mengya Wang
- College of Animal Science, Guizhou University, Guiyang, Guizhou, China
| | - Puchang Wang
- School of Life Sciences, Guizhou Normal University, Guiyang, Guizhou, China
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Sun J, Wang Y, Liu S, Li J, Zhou H, Wu G, Haregeweyn N. Editorial: Patterns, functions, and processes of alpine grassland ecosystems under global change. FRONTIERS IN PLANT SCIENCE 2022; 13:1048031. [PMID: 36311090 PMCID: PMC9608754 DOI: 10.3389/fpls.2022.1048031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Affiliation(s)
- Jian Sun
- State Key Laboratory of Earth System Resources and Environment of Tibetan Plateau, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Yingxin Wang
- State Key Laboratory of Earth System Resources and Environment of Tibetan Plateau, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Shiliang Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
| | - Junran Li
- Department of Geography, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Huakun Zhou
- Key Laboratory of Restoration Ecology for Cold Regions in Qinghai, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Gaolin Wu
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, China
| | - Nigussie Haregeweyn
- International Platform for Dryland Research and Education, Arid Land Research Center, Tottori University, Tottori, Japan
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Distinct Elevational Patterns and Their Linkages of Soil Bacteria and Plant Community in An Alpine Meadow of the Qinghai-Tibetan Plateau. Microorganisms 2022; 10:microorganisms10051049. [PMID: 35630491 PMCID: PMC9143282 DOI: 10.3390/microorganisms10051049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/15/2022] [Accepted: 05/17/2022] [Indexed: 11/30/2022] Open
Abstract
Soil microbes play important roles in determining plant community composition and terrestrial ecosystem functions, as well as the direction and extent of terrestrial ecosystem feedback to environmental changes. Understanding the distribution patterns of plant and soil microbiota along elevation gradients is necessary to shed light on important ecosystem functions. In this study, soil bacteria along an elevation gradient in an alpine meadow ecosystem of the Qinghai−Tibetan Plateau were investigated using Illumina sequencing and GeoChip technologies. The community structure of the soil bacteria and plants presented a continuous trend along the elevation gradient, and their alpha diversity displayed different distribution patterns; however, there were no linkages between them. Beta diversity of the soil bacteria and plants was significantly influenced by elevational distance changes (p < 0.05). Functional gene categories involved in nitrogen and phosphorus cycling had faster changes than those involved in carbon degradation, and functional genes involved in labile carbon degradation also had faster variations than those involved in recalcitrant carbon degradation with elevational changes. According to Pearson’s correlation, partial Mantel test analysis, and canonical correspondence analysis, soil pH and mean annual precipitation were important environmental variables in influencing soil bacterial diversity. Soil bacterial diversity and plant diversity had different distribution patterns along the elevation gradient.
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