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| Walker, Brian; CSIRO Sustainable Ecosystems; Brian.Walker@csiro.au; Steffen, Will; ; Will.Steffen@dwe.csiro.au. |
| Global change is the net effect of individual and interactive effects of changes in land use, atmospheric composition, biological diversity, and climate. A synthesis of the past six years' activities of the Global Change and Terrestrial Ecosystems project of the IGBP (International Geosphere-Biosphere Programme) deals with global change effects as ecosystem responses and living with global change. Ecosystem responses are considered in terms of changes in function and vegetation composition/structure. Field experiments of elevated CO2 effects on aboveground biomass show, on average, a positive effect on biomass, ranging from -20% to +80%. Some early predictions of CO2 effects (C3 vs. C4 plants, N-fixers, C:N in litter) are not generally supported, and it... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Agriculture; Biomes; Carbon dioxide; Climate; Dynamics; Ecosystem functioning; Global change; Impacts; Land use; Terrestrial biosphere; Vegetation changes.. |
| Ano: 1997 |
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| ZANIN,MARINA; TESSAROLO,GEIZIANE; MACHADO,NATHÁLIA; ALBERNAZ,ANA LUISA M.. |
| ABSTRACT In the face of climate change threats, governments are drawing attention to policies for mitigating its effects on biodiversity. However, the lack of distribution data makes predictions at species level a difficult task, mainly in regions of higher biodiversity. To overcome this problem, we use native landcover as a surrogate biodiversity, because it can represent specialized habitat for species, and investigate the effects of future climate change on Brazilian biomes. We characterize the climatic niches of native landcover and use ecological niche modeling to predict the potential distribution under current and future climate scenarios. Our results highlight expansion of the distribution of open vegetation and the contraction of closed forests.... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Climate change; Brazil; Ecological niche modeling; Native landcover; Biomes. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000300939 |
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