| 来源类型 | Articles
|
| 规范类型 | 论文
|
| DOI | 10.1111/j.1365-2699.2010.02467.x
|
| ISSN | 0305-0270
|
| Predicting alpha diversity of African rain forests: Models based on climate and satellite-derived data do not perform better than a purely spatial model |
| Tranquilli, S.; Abedi-Lartey, M.; Amsini, F.; Arranz, L.; Asamoah, A.; Babafemi, O.; Barakabuye, N.; Campbell, G.; Chancellor, R.; Davenport, T.R.B.; Dunn, A.; Dupain, J.; Ellis, C.; Etoga, G.; Furuichi, T.; Gatti, S.; Ghiurghi, A.; Greengrass, E.; Hashimoto, C.; Hart, J.; Herbinger, I.; Hicks, T.C.; Holbech, L.H.; Huijbregts, B.; Imong, I.; Kumpel, N.; Maisels, F.; Marshall, P.; Nixon, S.; Normand, E.; Nziguyimpa, L.; Nzooh-Dogmo, Z.; Okon, D.T.; Plumptre, A.; Rundus, A.; Sunderland-Groves, J.; Todd, A.; Warren, Y.; Mundry, R.; Boesch, C.; Hjalmar Kuehl
|
| 发表日期 | 2011
|
| 出处 | Journal of Biogeography 38(6): 1164-1176
|
| 出版年 | 2011
|
| 语种 | 英语
|
| 摘要 | Our aim was to evaluate the extent to which we can predict and map tree
alpha diversity across broad spatial scales either by using climate and remote
sensing data or by exploiting spatial autocorrelation patterns in tropical rain forest, West Africa and Atlantic Central Africa. |
| 主题 | rain forests
; biodiversity
; climate change
; Modelling
; diversity
; spatial analysis
; spatial distribution
|
| 区域 | Africa
|
| URL | https://www.cifor.org/library/3342/
|
| 来源智库 | Center for International Forestry Research (Indonesia)
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| 引用统计 |
|
| 资源类型 | 智库出版物
|
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/91782
|
推荐引用方式
GB/T 7714 |
Tranquilli, S.,Abedi-Lartey, M.,Amsini, F.,et al. Predicting alpha diversity of African rain forests: Models based on climate and satellite-derived data do not perform better than a purely spatial model. 2011.
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