Sustainability with Changing Climate and Extremes

Edited by
November 2022
588 pages
  • ISBN978-3-0365-5849-3 (Hardback)
  • ISBN978-3-0365-5850-9 (PDF)

This book is a reprint of the Special Issue Sustainability with Changing Climate and Extremes that was published in

Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts & Humanities

This book focuses on the up-to-date studies on the sustainability with changing climate and extremes. The main contributors discussed the changing climate and extreme events, as well as their impacts on natural and human dimension sustainability, including the incorporated social–ecologic and socioeconomic processes. Special attention is given to four main sections: natural disasters in agriculture; urban/rural ecosystem, tourism, and ecosystem service; extreme climate indices, and newly created dataset for climate change.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
trade conflict; carbon emissions; import and export trade; cooperative emission reduction; meteorological hazards; risk assessment; spatial pattern; population exposure; Qinghai-Tibet Plateau; Qinghai-Tibet Plateau; climate change; slope geohazards; new geohazard clusters; extreme cooling events; Arctic Oscillation; winter in China; atmospheric circulation; GPP; climate change; CMIP6; ESM; STA; China; warm days; cold days; warm nights; cold nights; hot days; frost days; compound drought and heatwave events; complex network; event synchronization; atmospheric circulation patterns; climate change; urban agglomeration; drought; heat wave; flood; risk assessment; GM (1, 1); Arctic; universal thermal climate index (UTCI); spatial-temporal changes; 1979–2019; ecosystem services trade-offs; land-use change; soil conservation; carbon storage; water yield; precipitation gradient; Loess Plateau; climate hazards; geospatial analysis; urban adaptation; risk management; China; snow disaster; risk assessment; risk zoning; Heilongjiang Province; precipitation; China; CMIP6; model resolutions; cold region of China; spatiotemporal distribution; spatiotemporal variation; 1961–2019; high-resolution and high-quality precipitation data; independent and non-independent test; the 0.01° multi-source fusion precipitation product; extreme precipitation event; forest types; NDVI; AVHRR GIMMS; temperature range; precipitation range; snow cover; black carbon concentration; radiative forcing; northeast China; heat wave; high temperature; population exposure; mobile phone data; impact factor; Zhuhai City; WRF model; projection; short-lived heatwave event; long-lived heatwave event; Yangtze River Basin; central and western Pacific; thermocline; yellowfin tuna; CPUE; El Niño; La Niña; GAM model; snow cover; spring soil moisture; impact mechanism; Songnen Plain; Sanjiang Plain; CMIP6; maize; diurnal temperature range; projection; China; fresh air index; natural microclimate comfort index; fresh air–natural microclimate comfort index; scenic spots; Fujian province; extreme climate indices; temporal and spatial dynamics; linear trend; climate abrupt change; central China; peanut drought; risk zoning; Shandong Province; natural disaster risk assessment principles; dry-hot wind disaster; risk zoning; Shandong province; natural disaster risk assessment principle; summer maize; inter- and mixed cropping; high temperature; flowering period; yield; climate change; potato climatic productivity potential; Inner Mongolia; effect; human mobility; rainfall; taxi GPS data; complex network; community; Zhuhai central areas; citrus; climate change; quality; yield; future projection; state-owned forest farms; human resource allocation; industrial structure; coordination and adaptation; personal structure; contiguous poverty-stricken areas; rainstorms and droughts; direct economic losses; disaster-affected population; climate change; drought and flood; vulnerability; risk prediction; agroecosystem; heatwaves; population exposure change; global warming; 1.5 °C warming scenario; 2.0 °C warming scenario; n/a

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