Matches in SemOpenAlex for { <https://semopenalex.org/work/W3049208890> ?p ?o ?g. }
- W3049208890 abstract "Africa is largely influenced by fires, which play an important ecological role influencing the distribution and structure of grassland, savanna and forest biomes. Here vegetation strongly interacts with climate and other environmental factors, such as herbivory and humans. Fire-enabled Dynamic Global Vegetation Models (DGVMs) display high uncertainty in predicting the distribution of current tropical biomes and the associated transitions, mainly due to the way they represent the main ecological processes and feedbacks related to water and fire. The aim of this study is to evaluate the outcomes of two state-of-the–art DGVMs, LPJ-GUESS and JSBACH, also currently used in two Earth System Models (ESMs), in order to assess which key ecological processes need to be included or improved to represent realistic interactions between vegetation cover, precipitation and fires in sub-Saharan Africa. To this end, we compare models and remote-sensing data, analyzing the relationships between tree and grass cover, mean annual rainfall, average rainfall seasonality and average fire intervals, using generalized linear models, and we compare the patterns of grasslands, savannas, and forests in sub-Saharan Africa. Our analysis suggests that LPJ-GUESS (with a simple fire-model and complex vegetation description) performs well in regions of low precipitation, while in humid and mesic areas the representation of the fire process should probably be improved to obtain more open savannas. JSBACH (with a complex fire-model and a simple vegetation description) can simulate a vegetation-fire feedback that can maintain open savannas at intermediate and high precipitation, although this feedback seems to have stronger effects than observed, while at low precipitation JSBACH needs improvements in the representation of tree-grass competition and drought effects. This comparative process-based analysis permits to highlight the main factors that determine the tropical vegetation distribution in models and observations in sub-Saharan Africa, suggesting possible improvements in DGVMs and, consequently, ESM simulations for future projections. Given the need to use carbon storage in vegetation as a climate mitigation measure, these models represent a valuable tool to improve our understanding of the sustainability of vegetation carbon pools as a carbon sink and the vulnerability to disturbances such as fire." @default.
- W3049208890 created "2020-08-21" @default.
- W3049208890 creator A5015583825 @default.
- W3049208890 creator A5051078110 @default.
- W3049208890 creator A5053975382 @default.
- W3049208890 creator A5056813748 @default.
- W3049208890 creator A5079901694 @default.
- W3049208890 creator A5086576086 @default.
- W3049208890 date "2020-08-14" @default.
- W3049208890 modified "2023-09-25" @default.
- W3049208890 title "Linking Vegetation-Climate-Fire Relationships in Sub-Saharan Africa to Key Ecological Processes in Two Dynamic Global Vegetation Models" @default.
- W3049208890 cites W1590327834 @default.
- W3049208890 cites W1790776195 @default.
- W3049208890 cites W1816963106 @default.
- W3049208890 cites W1838651935 @default.
- W3049208890 cites W1941608869 @default.
- W3049208890 cites W1964551106 @default.
- W3049208890 cites W1964691864 @default.
- W3049208890 cites W1966574578 @default.
- W3049208890 cites W1969062474 @default.
- W3049208890 cites W1970595520 @default.
- W3049208890 cites W1971946554 @default.
- W3049208890 cites W1974813242 @default.
- W3049208890 cites W1978524485 @default.
- W3049208890 cites W1979520434 @default.
- W3049208890 cites W1982800299 @default.
- W3049208890 cites W1989754324 @default.
- W3049208890 cites W1991355610 @default.
- W3049208890 cites W1991407064 @default.
- W3049208890 cites W2000100638 @default.
- W3049208890 cites W2022224360 @default.
- W3049208890 cites W2031663264 @default.
- W3049208890 cites W2031983852 @default.
- W3049208890 cites W2034878206 @default.
- W3049208890 cites W2036788393 @default.
- W3049208890 cites W2043882198 @default.
- W3049208890 cites W2052672736 @default.
- W3049208890 cites W2059455952 @default.
- W3049208890 cites W2071747718 @default.
- W3049208890 cites W2074756355 @default.
- W3049208890 cites W2075665434 @default.
- W3049208890 cites W2077707288 @default.
- W3049208890 cites W2085382913 @default.
- W3049208890 cites W2087503676 @default.
- W3049208890 cites W2095438373 @default.
- W3049208890 cites W2101776010 @default.
- W3049208890 cites W2102648365 @default.
- W3049208890 cites W2104968988 @default.
- W3049208890 cites W2107814890 @default.
- W3049208890 cites W2108940449 @default.
- W3049208890 cites W2109806406 @default.
- W3049208890 cites W2110659496 @default.
- W3049208890 cites W2120160157 @default.
- W3049208890 cites W2127152313 @default.
- W3049208890 cites W2127934604 @default.
- W3049208890 cites W2131611948 @default.
- W3049208890 cites W2136881308 @default.
- W3049208890 cites W2141408144 @default.
- W3049208890 cites W2142635246 @default.
- W3049208890 cites W2150918587 @default.
- W3049208890 cites W2151109453 @default.
- W3049208890 cites W2153322439 @default.
- W3049208890 cites W2157206590 @default.
- W3049208890 cites W2158031389 @default.
- W3049208890 cites W2161323947 @default.
- W3049208890 cites W2161925018 @default.
- W3049208890 cites W2165166687 @default.
- W3049208890 cites W2166269795 @default.
- W3049208890 cites W2167516752 @default.
- W3049208890 cites W2167547907 @default.
- W3049208890 cites W2171210136 @default.
- W3049208890 cites W2181257851 @default.
- W3049208890 cites W2219886503 @default.
- W3049208890 cites W2295276189 @default.
- W3049208890 cites W2301696792 @default.
- W3049208890 cites W2344027841 @default.
- W3049208890 cites W2397405973 @default.
- W3049208890 cites W2419889963 @default.
- W3049208890 cites W2484042783 @default.
- W3049208890 cites W2561529961 @default.
- W3049208890 cites W2563122897 @default.
- W3049208890 cites W2568476190 @default.
- W3049208890 cites W2596816404 @default.
- W3049208890 cites W2732607881 @default.
- W3049208890 cites W2763356991 @default.
- W3049208890 cites W2769233894 @default.
- W3049208890 cites W2770863732 @default.
- W3049208890 cites W2771456631 @default.
- W3049208890 cites W2774694715 @default.
- W3049208890 cites W2781683701 @default.
- W3049208890 cites W2785697432 @default.
- W3049208890 cites W2787095070 @default.
- W3049208890 cites W2788809438 @default.
- W3049208890 cites W2797448943 @default.
- W3049208890 cites W2804856779 @default.
- W3049208890 cites W2806786596 @default.
- W3049208890 cites W281079071 @default.
- W3049208890 cites W2887558848 @default.
- W3049208890 cites W2918011748 @default.
- W3049208890 cites W2938850315 @default.