Longleaf pine savannas reveal biases in current understanding of savanna biogeography
Longleaf pine savannas reveal biases in current understanding of savanna biogeography
复制标题
长叶松稀树草原揭示了当前对稀树草原生物地理学理解的偏见
DOI:
10.1111/geb.13747
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发表时间:
2023
影响因子:
6.4
通讯作者:
Costanza, Jennifer
中科院分区:
文献类型:
--
作者:
Pau, Stephanie;Griffith, Daniel M.;Zampieri, Nicole E.;Costanza, Jennifer
Biased understanding of savanna biogeographyGrasslands and savannas exist across a wide range of climates. Mesic savannas, with highly variable tree densities, are particularly misunderstood and understudied in comparison to arid and semi‐arid savannas. North America contains historically extensive mesic savannas dominated by longleaf pine. Longleaf pine savannas may have once been the largest savanna type on North America, yet these ecosystems have been overlooked in global syntheses. Excluding these “Forgotten Ecosystems” from global syntheses biases our understanding of savanna biogeography and distribution.Evolutionary history and distinct climate of longleaf savannasWe assessed the evolutionary history and biogeography of longleaf pine savannas. We then harmonize plot data from longleaf savannas with plot data from valuable existing global synthesis of savannas on other continents. We show that longleaf pine savannas occur in a strikingly distinct climate space compared to savannas on Africa, Australia, and South America, and are unique in having wide ranging tree basal areas.Future directionsGrass‐dominated ecosystems are increasingly recognized as being ancient and biologically diverse, yet threatened and undervalued. A new synthesis of savanna ecosystems considering their full range of distributions is needed to understand their ecology and conservation status. Interestingly, the closest analogues to North American savannas and their relatives in Mesoamerica and the Caribbean may be Asian savannas, which also contain mesic fire‐driven pine savannas and have been similarly neglected in existing global syntheses.
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影响因子:
3.7
作者:
R. Myers;D. V. Lear
通讯作者:
D. V. Lear
影响因子:
56.9
作者:
J. Veldman;Julie C. Aleman;Swanni T. Alvarado;T. Michael Anderson;Sally Archibald;William J. Bond;T. Boutton;Nina Buchmann;É. Buisson;J. Canadell;Michele de Sá Dechoum;Milton H. Diaz;G. Durigan;J. Ewel;G. W. Fernandes;A. Fidelis;Forrest Fleischman;S. Good;Daniel M. Griffith;J. Hermann;William A. Hoffmann;Soizig Le Stradic;C. E. Lehmann;Grégory Mahy;Ashish N. Nerlekar;J. Nippert;Reed F. Noss;Colin Osborne;Gerhard E. Overbeck;Catherine L. Parr;J. Pausas;R. Toby Pennington;M. Perring;F. Putz;J. Ratnam;M. Sankaran;Isabel B. Schmidt;C. Schmitt;Fernando A. O. Silveira;A. C. Staver;N. Stevens;Christopher J. Still;Caroline A E Strömberg;V. Temperton;J. Varner;N. Zaloumis
通讯作者:
N. Zaloumis
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
R. Noss
通讯作者:
R. Noss
影响因子:
6.1
作者:
W. Platt;Darin P. Ellair;J. Huffman;S. E. Potts;B. Beckage
通讯作者:
B. Beckage
影响因子:
3.7
作者:
Nicole E. Zampieri;S. Pau
通讯作者:
S. Pau