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      Heterogeneous responses of wetland vegetation to climate change in the Amur River basin characterized by normalized difference vegetation index from 1982 to 2020

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          Abstract

          Climate change affects wetland vegetation dramatically in mid- and high- latitudes, especially in the Amur River basin (ARB), straddling three countries and distributing abundance wetlands. In this study, spatiotemporal changes in average normalized difference vegetation index (NDVI) of wetland during the annual growing season were examined in the ARB from 1982 to 2020, and the responses of wetland vegetation to climatic change (temperature and precipitation) in different countries, geographic gradients, and time periods were analyzed by correlation analysis. The NDVI of wetland in the ARB increased significantly ( p < 0.01) at the rate of 0.023 per decade from 1982 to 2020, and the NDVI on the Russian side (0.03 per decade) increased faster than that on the Chinese side (0.02 per decade). The NDVI of wetland was significantly positively correlated with daily mean temperature ( p < 0.05, r = 0.701) and negatively correlated with precipitation, although the correlation was not significant ( p > 0.05, r = −0.12). However, the asymmetric effects of diurnal warming on wetland vegetation were weak in the ARB. Correlations between the NDVI of wetland and climatic factors were zonal in latitudinal and longitudinal directions, and 49°N and 130°E were the points for a shift between increasing and decreasing correlation coefficients, closely related to the climatic zone. Under climate warming scenarios, the NDVI of wetland is predicted to continue to increase until 2080. The findings of this study are expected to deepen the understanding on response of wetland ecosystem to global change and promote regional wetland ecological protection.

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          Estimates of the Regression Coefficient Based on Kendall's Tau

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            The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6

            Projections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the primary activity within Phase 6 of the Coupled Model Intercomparison Project (CMIP6) that will provide multi-model climate projections based on alternative scenarios of future emissions and land use changes produced with integrated assessment models. In this paper, we describe ScenarioMIP's objectives, experimental design, and its relation to other activities within CMIP6. The ScenarioMIP design is one component of a larger scenario process that aims to facilitate a wide range of integrated studies across the climate science, integrated assessment modeling, and impacts, adaptation, and vulnerability communities, and will form an important part of the evidence base in the forthcoming Intergovernmental Panel on Climate Change (IPCC) assessments. At the same time, it will provide the basis for investigating a number of targeted science and policy questions that are especially relevant to scenario-based analysis, including the role of specific forcings such as land use and aerosols, the effect of a peak and decline in forcing, the consequences of scenarios that limit warming to below 2 °C, the relative contributions to uncertainty from scenarios, climate models, and internal variability, and long-term climate system outcomes beyond the 21st century. To serve this wide range of scientific communities and address these questions, a design has been identified consisting of eight alternative 21st century scenarios plus one large initial condition ensemble and a set of long-term extensions, divided into two tiers defined by relative priority. Some of these scenarios will also provide a basis for variants planned to be run in other CMIP6-Endorsed MIPs to investigate questions related to specific forcings. Harmonized, spatially explicit emissions and land use scenarios generated with integrated assessment models will be provided to participating climate modeling groups by late 2016, with the climate model simulations run within the 2017–2018 time frame, and output from the climate model projections made available and analyses performed over the 2018–2020 period.
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              Global response of terrestrial ecosystem structure and function to CO2and climate change: results from six dynamic global vegetation models

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                Author and article information

                Contributors
                Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2004540Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/963863Role: Role: Role: Role: Role:
                Role: Role: Role: Role:
                Role: Role: Role: Role:
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                01 November 2023
                2023
                : 14
                : 1290843
                Affiliations
                [1] 1 College of Earth Sciences, Jilin University , Changchun, China
                [2] 2 State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences , Changchun, China
                [3] 3 National Earth System Science Data Center , Beijing, China
                Author notes

                Edited by: Yuanrun Zheng, Institute of Botany, Chinese Academy of Sciences (CAS), China

                Reviewed by: Gang Yang, Ningbo University, China; Weiguo Jiang, Beijing Normal University, China

                *Correspondence: Xiaoyan Li, lxyan@ 123456jlu.edu.cn ; Dehua Mao, maodehua@ 123456iga.ac.cn
                Article
                10.3389/fpls.2023.1290843
                10646443
                045e43cb-5cbe-4f76-a288-7d1ed95256cf
                Copyright © 2023 Xing, Li, Mao, Luo and Wang

                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
                : 08 September 2023
                : 12 October 2023
                Page count
                Figures: 9, Tables: 2, Equations: 15, References: 79, Pages: 15, Words: 7486
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was jointly funded by the National Natural Science Foundation of China (42222103 and 42101379), the Science and Technology Development Program of Jilin Province, China (20210101396JC), the Youth Innovation Promotion Association of Chinese Academy of Sciences (2017277), and the Young Scientist Group Project of Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences (2022QNXZ03).
                Categories
                Plant Science
                Original Research
                Custom metadata
                Functional Plant Ecology

                Plant science & Botany
                wetlands,vegetation change,ndvi,climate change,amur river basin
                Plant science & Botany
                wetlands, vegetation change, ndvi, climate change, amur river basin

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