Future changes of the terrestrial ecosystem based on a dynamic vegetation model driven with RCP8.5 climate projections from 19 GCMs

• Published in: Climatic change Vol. 127; no. 2; pp. 257 - 271
• Main Authors: Yu, Miao, Wang, Guiling, Parr, Dana, Ahmed, Kazi Farzan
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer-Verlag 01.11.2014; Springer Netherlands; Springer; Springer Nature B.V
• Subjects: Animal and plant ecology; Animal, plant and microbial ecology; Asia; Atmospheric Sciences; Biogeochemistry; Biogeography; Biological and medical sciences; Carbon; Carbon dioxide; Central Africa; Climate; Climate change; Climate Change/Climate Change Impacts; Climate models; Climatology. Bioclimatology. Climate change; Deciduous trees; Drought; Earth and Environmental Science; Earth Sciences; Earth, ocean, space; Environmental impact; Eurasia; Europe; Exact sciences and technology; External geophysics; Forests; Fundamental and applied biological sciences. Psychology; Global climate; Grasses; Laboratories; latitude; leaf area index; Meteorology; Natural vegetation; Nitrogen; North America; Projection; shrubs; Synecology; Temperate zones; Terrestrial ecosystems; trees; Tropical environments; Tropics; uncertainty; Vegetation; Vegetation changes; Water use; Water use efficiency; Central Africa; Asia; Eurasia; North America; Europe; South America, Amazon R; Africa; Vegetation Distribution; Tree Coverage; Leaf Area Index; Equilibrium Approach; Dormant Season; Terrestrial environment; Multimodel; Century 21st; General circulation models; climate warming; Climate models; digital simulation; Vegetation dynamics; Climate prediction; Bioclimatology; global change; Representative concentration pathway; ecosystems; Dynamic model; primary productivity; climate change; Leaf area index

Future changes of terrestrial ecosystems due to changes in atmospheric CO₂ concentration and climate are subject to a large degree of uncertainty, especially for vegetation in the Tropics. Here, we evaluate the natural vegetation response to projected future changes using an improved version of a dy...