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      Global spatial distribution of Chromolaena odorata habitat under climate change: random forest modeling of one of the 100 worst invasive alien species

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          Abstract

          Anthropogenic activities and global climate change increase the risk of Chromolaena odorata invasion and habitat expansion. To predict its global distribution and habitat suitability under climate change, a random forest (RF) model was employed. The RF model, utilizing default parameters, analyzed species presence data and background information. The model revealed that the current spatial distribution of C. odorata covers 7,892,447 km 2. Predictions for 2061 2080 indicate expansion of suitable habitat (42.59 and 46.30%), reduction of suitable habit (12.92 and 12.20%), and preservation of suitable habitat (87.08 and 87.80%) under the SSP (Shared Socio-economic Pathway) 2-4.5 and SSP5-8.5 scenarios, respectively, in comparison to the present distribution. Currently, C. odorata is predominantly found in South America, with limited presence in other continents. However, the data suggest that climate change will elevate the global invasion risk of C. odorata worldwide, particularly in Oceania, Africa, and Australia. Countries such as Gambia, Guinea-Bissau, and Lesotho, which currently have unsuitable habitats, are predicted to have highly suitable habitats with climate change, supporting the idea that global habitat expansion for C. odorata will occur due to climate change. This study indicates that proper management of C. odorata is crucial during the early invasion phase.

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          WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

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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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              The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview

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                Author and article information

                Contributors
                shhong@hknu.ac.kr
                yspark2005@kongju.ac.kr
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                16 June 2023
                16 June 2023
                2023
                : 13
                : 9745
                Affiliations
                [1 ]GRID grid.411968.3, ISNI 0000 0004 0642 2618, Institute of Humanities and Ecology Consensus Resilience Lab, , Hankyong National University, ; Anseong, 17579 Republic of Korea
                [2 ]GRID grid.222754.4, ISNI 0000 0001 0840 2678, OJeong Resilience Institute, , Korea University, ; Seoul, 02841 Republic of Korea
                [3 ]GRID grid.411968.3, ISNI 0000 0004 0642 2618, School of Plant Science and Landscape Architecture, College of Agriculture and Life Sciences, , Hankyong National University, ; Anseong, 17579 Republic of Korea
                [4 ]GRID grid.411118.c, ISNI 0000 0004 0647 1065, Department of Plant Resources, College of Industrial Sciences, , Kongju National University, ; Yesan, 32439 Republic of Korea
                [5 ]GRID grid.411118.c, ISNI 0000 0004 0647 1065, Agricultural and Fisheries Life Science Research Institute, College of Industrial Sciences, , Kongju National University, ; Yesan, 32439 Republic of Korea
                Article
                36358
                10.1038/s41598-023-36358-z
                10275895
                36593249
                606bf8d4-2b27-482d-97ac-5450e9fd57d3
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 February 2023
                : 1 June 2023
                Funding
                Funded by: Ministry of Environment, Republic of Korea
                Award ID: 2018002270001
                Award ID: 2018002270001
                Award ID: 2018002270001
                Award ID: 2018002270001
                Award ID: 2018002270001
                Award Recipient :
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                © Springer Nature Limited 2023

                Uncategorized
                climate-change ecology,ecological modelling
                Uncategorized
                climate-change ecology, ecological modelling

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