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      Low-carbon city and its future research trends: A bibliometric analysis and systematic review

      , , , ,
      Sustainable Cities and Society
      Elsevier BV

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          Global biodiversity scenarios for the year 2100.

          Scenarios of changes in biodiversity for the year 2100 can now be developed based on scenarios of changes in atmospheric carbon dioxide, climate, vegetation, and land use and the known sensitivity of biodiversity to these changes. This study identified a ranking of the importance of drivers of change, a ranking of the biomes with respect to expected changes, and the major sources of uncertainties. For terrestrial ecosystems, land-use change probably will have the largest effect, followed by climate change, nitrogen deposition, biotic exchange, and elevated carbon dioxide concentration. For freshwater ecosystems, biotic exchange is much more important. Mediterranean climate and grassland ecosystems likely will experience the greatest proportional change in biodiversity because of the substantial influence of all drivers of biodiversity change. Northern temperate ecosystems are estimated to experience the least biodiversity change because major land-use change has already occurred. Plausible changes in biodiversity in other biomes depend on interactions among the causes of biodiversity change. These interactions represent one of the largest uncertainties in projections of future biodiversity change.
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            A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)

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              A socio-technical analysis of low-carbon transitions: introducing the multi-level perspective into transport studies

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                Author and article information

                Contributors
                Journal
                Sustainable Cities and Society
                Sustainable Cities and Society
                Elsevier BV
                22106707
                March 2023
                March 2023
                : 90
                : 104381
                Article
                10.1016/j.scs.2022.104381
                8208e886-a586-48ac-992e-d5dc5f63af4e
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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