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      China’s current forest age structure will lead to weakened carbon sinks in the near future

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          Abstract

          Forests are chiefly responsible for the terrestrial carbon sink that greatly reduces the buildup of CO 2 concentrations in the atmosphere and alleviates climate change. Current predictions of terrestrial carbon sinks in the future have so far ignored the variation of forest carbon uptake with forest age. Here, we predict the role of China’s current forest age in future carbon sink capacity by generating a high-resolution (30 m) forest age map in 2019 over China’s landmass using satellite and forest inventory data and deriving forest growth curves using measurements of forest biomass and age in 3,121 plots. As China’s forests currently have large proportions of young and middle-age stands, we project that China’s forests will maintain high growth rates for about 15 years. However, as the forests grow older, their net primary productivity will decline by 5.0% ± 1.4% in 2050, 8.4% ± 1.6% in 2060, and 16.6% ± 2.8% in 2100, indicating weakened carbon sinks in the near future. The weakening of forest carbon sinks can be potentially mitigated by optimizing forest age structure through selective logging and implementing new or improved afforestation. This finding is important not only for the global carbon cycle and climate projections but also for developing forest management strategies to enhance land sinks by alleviating the age effect.

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          • Young and middle forests would sustain China’s current net primary productivity (NPP) for about 15 years.

          • Aging of forests would lead to an 8%–17% decline in China’s NPP in 40–80 years.

          • Optimizing forest age structure can be a way to maintain and enhance China’s carbon sink.

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          Most cited references57

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          Old-growth forests as global carbon sinks.

          Old-growth forests remove carbon dioxide from the atmosphere at rates that vary with climate and nitrogen deposition. The sequestered carbon dioxide is stored in live woody tissues and slowly decomposing organic matter in litter and soil. Old-growth forests therefore serve as a global carbon dioxide sink, but they are not protected by international treaties, because it is generally thought that ageing forests cease to accumulate carbon. Here we report a search of literature and databases for forest carbon-flux estimates. We find that in forests between 15 and 800 years of age, net ecosystem productivity (the net carbon balance of the forest including soils) is usually positive. Our results demonstrate that old-growth forests can continue to accumulate carbon, contrary to the long-standing view that they are carbon neutral. Over 30 per cent of the global forest area is unmanaged primary forest, and this area contains the remaining old-growth forests. Half of the primary forests (6 x 10(8) hectares) are located in the boreal and temperate regions of the Northern Hemisphere. On the basis of our analysis, these forests alone sequester about 1.3 +/- 0.5 gigatonnes of carbon per year. Thus, our findings suggest that 15 per cent of the global forest area, which is currently not considered when offsetting increasing atmospheric carbon dioxide concentrations, provides at least 10 per cent of the global net ecosystem productivity. Old-growth forests accumulate carbon for centuries and contain large quantities of it. We expect, however, that much of this carbon, even soil carbon, will move back to the atmosphere if these forests are disturbed.
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            The Strategy of Ecosystem Development

            E P Odum (1969)
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              China’s response to a national land-system sustainability emergency

              China has responded to a national land-system sustainability emergency via an integrated portfolio of large-scale programmes. Here we review 16 sustainability programmes, which invested US$378.5 billion (in 2015 US$), covered 623.9 million hectares of land and involved over 500 million people, mostly since 1998. We find overwhelmingly that the interventions improved the sustainability of China's rural land systems, but the impacts are nuanced and adverse outcomes have occurred. We identify some key characteristics of programme success, potential risks to their durability, and future research needs. We suggest directions for China and other nations as they progress towards the Sustainable Development Goals of the United Nations' Agenda 2030.
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                Author and article information

                Contributors
                Journal
                Innovation (Camb)
                Innovation (Camb)
                The Innovation
                Elsevier
                2666-6758
                16 September 2023
                13 November 2023
                16 September 2023
                : 4
                : 6
                : 100515
                Affiliations
                [1 ]Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
                [2 ]Department of Geography and Planning, University of Toronto, Toronto, Ontario M5S 3G3, Canada
                [3 ]Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
                [4 ]Institute for Climate and Carbon Neutrality, Department of Geography and Department of Earth Sciences, University of Hong Kong, Hong Kong 999077, China
                [5 ]International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
                [6 ]Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, Beijing 100035, China
                [7 ]Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
                Author notes
                []Corresponding author jing.chen@ 123456utoronto.ca
                Article
                S2666-6758(23)00143-1 100515
                10.1016/j.xinn.2023.100515
                10542009
                37786507
                a1f04873-852c-4246-96e5-00c485d9109d
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 27 February 2023
                : 13 September 2023
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