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      Sown alfalfa pasture decreases grazing intensity while increasing soil carbon: Experimental observations and DNDC model predictions

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          Abstract

          Introduction

          Grasslands are the most important land use in China and have experienced extensive degradation in the past few decades due to overgrazing. However, regionally viable solutions to grazing intensity alleviation remained elusive to date.

          Methods

          Here, we evaluated the grazing intensity effects of sown alfalfa pastures in northern China using an experiment-modeling combined approach that involved six sites in field experiments and five provinces in DNDC modeling of sown alfalfa pasture’s forage production and carbon sequestration potentials in marginal lands.

          Results

          Our results showed that the sown alfalfa pasture’s dry-matter yield varied between 4.5 and 9.0 Mg ha-1 under rainfed and irrigated conditions, respectively, from 2025 to 2035. If half of the available marginal lands were mobilized for alfalfa forage production, these yield levels meant that livestock grazing intensity on natural grasslands may drop 8-13% under rainfed and 20-33% under irrigated conditions. Our results also showed that marginal land’s soil organic carbon contents were systematically higher under sown alfalfa pasture than under fallow management by a big margin of 8.5 and 9.9 g kg-1 (i.e., +79 and +95%), under rainfed and irrigated conditions, respectively, during 2025-2035.

          Discussion

          Overall, these results demonstrated that sown alfalfa pasture on marginal lands represents an effective grassland conservation pathway over the short- to medium-term time horizon based on current technologies.

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          Most cited references60

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          Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

          By coordinating the design and distribution of global climate model simulations of the past, current, and future climate, the Coupled Model Intercomparison Project (CMIP) has become one of the foundational elements of climate science. However, the need to address an ever-expanding range of scientific questions arising from more and more research communities has made it necessary to revise the organization of CMIP. After a long and wide community consultation, a new and more federated structure has been put in place. It consists of three major elements: (1) a handful of common experiments, the DECK (Diagnostic, Evaluation and Characterization of Klima) and CMIP historical simulations (1850–near present) that will maintain continuity and help document basic characteristics of models across different phases of CMIP; (2) common standards, coordination, infrastructure, and documentation that will facilitate the distribution of model outputs and the characterization of the model ensemble; and (3) an ensemble of CMIP-Endorsed Model Intercomparison Projects (MIPs) that will be specific to a particular phase of CMIP (now CMIP6) and that will build on the DECK and CMIP historical simulations to address a large range of specific questions and fill the scientific gaps of the previous CMIP phases. The DECK and CMIP historical simulations, together with the use of CMIP data standards, will be the entry cards for models participating in CMIP. Participation in CMIP6-Endorsed MIPs by individual modelling groups will be at their own discretion and will depend on their scientific interests and priorities. With the Grand Science Challenges of the World Climate Research Programme (WCRP) as its scientific backdrop, CMIP6 will address three broad questions: – How does the Earth system respond to forcing? – What are the origins and consequences of systematic model biases? – How can we assess future climate changes given internal climate variability, predictability, and uncertainties in scenarios? This CMIP6 overview paper presents the background and rationale for the new structure of CMIP, provides a detailed description of the DECK and CMIP6 historical simulations, and includes a brief introduction to the 21 CMIP6-Endorsed MIPs.
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            Soil carbon 4 per mille

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              A model of nitrous oxide evolution from soil driven by rainfall events: 1. Model structure and sensitivity

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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                21 November 2022
                2022
                : 13
                : 1019966
                Affiliations
                [1] 1 Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences , Beijing, China
                [2] 2 Department of Geology, Ghent University , Ghent, Belgium
                [3] 3 Chifeng Institute of Agricultural and Animal Sciences , Chifeng, China
                Author notes

                Edited by: Fujiang Hou, Lanzhou University, China

                Reviewed by: Narendra Kumar Lenka, Indian Institute of Soil Science (ICAR), India; Yu Liu, Northwest A&F University, China

                *Correspondence: Liming Ye, liming.ye@ 123456ugent.be ; Xiaoping Xin, xinxiaoping@ 123456caas.cn

                This article was submitted to Functional Plant Ecology, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2022.1019966
                9720138
                36479515
                045debeb-59ff-444a-a816-9d91eb9febf6
                Copyright © 2022 Xu, Ye, Nie, Yang, Xin, Yuan and Yang

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 August 2022
                : 02 November 2022
                Page count
                Figures: 10, Tables: 4, Equations: 3, References: 60, Pages: 16, Words: 7645
                Funding
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 41703081
                Funded by: China Agricultural Research System , doi 10.13039/501100012453;
                Award ID: CARS-34
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                alfalfa, medicago sativa l.,grazing intensity,stocking rate,soil organic carbon,forage yield,calibration,climate change

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