Elevation and latitude drives structure and tree species composition in Andean forests: Results from a large-scale plot network
Elevation and latitude drives structure and tree species composition in Andean forests: Results from a large-scale plot network
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DOI：
10.1371/journal.pone.0231553
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发表时间：
2020-04-20
期刊：
影响因子：
3.7
通讯作者：
Young, Kenneth R.
中科院分区：
文献类型：
--
作者：
Malizia, Agustina;Blundo, Cecilia;Young, Kenneth R.
我们对安第斯森林在区域范围内的结构和功能的了解仍然有限。目前在大陆或全球范围内研究森林的倡议仍然存在重大的地理差距，特别是在热带和亚热带安第斯山脉等区域。在这项研究中，我们评估了结构和树种多样性的模式沿着相似的4000公里的纬度和相似的4000米的海拔范围在安第斯山脉的森林。我们使用了安第斯森林网络（Red de Bosques Andinos，https：//redbosques.condesan.org/）数据库，该数据库目前包括491个森林样地（总面积156.3公顷，范围从0.01到6公顷），共代表86，964个已识别的树干。经鉴定，共有植物133科584属2341种。树干密度和断面积随海拔升高而增加，而物种丰富度则随海拔升高而降低。树干密度和物种丰富度均随纬度的升高而降低。亚热带森林的树种组成与热带森林不同。此外，亚热带样地的区系相似性在13%~ 16%之间，而热带森林样地之间的相似性在3%~ 9%之间。总体而言，类似于0.5公顷或更大的地块可能是首选的描述模式在区域尺度，以避免地块大小的影响。我们强调需要促进安第斯地区研究人员之间的合作和能力建设（即，南南合作），以便在区域一级生成和综合信息。
Our knowledge about the structure and function of Andean forests at regional scales remains limited. Current initiatives to study forests over continental or global scales still have important geographical gaps, particularly in regions such as the tropical and subtropical Andes. In this study, we assessed patterns of structure and tree species diversity along similar to 4000 km of latitude and similar to 4000 m of elevation range in Andean forests. We used the Andean Forest Network (Red de Bosques Andinos, https://redbosques.condesan.org/) database which, at present, includes 491 forest plots (totaling 156.3 ha, ranging from 0.01 to 6 ha) representing a total of 86,964 identified tree stems. 10 cm diameter at breast height belonging to 2341 identified species, 584 genera and 133 botanical families. Tree stem density and basal area increases with elevation while species richness decreases. Stem density and species richness both decrease with latitude. Subtropical forests have distinct tree species composition compared to those in the tropical region. In addition, floristic similarity of subtropical plots is between 13 to 16% while similarity between tropical forest plots is between 3% to 9%. Overall, plots similar to 0.5-ha or larger may be preferred for describing patterns at regional scales in order to avoid plot size effects. We highlight the need to promote collaboration and capacity building among researchers in the Andean region (i.e., SouthSouth cooperation) in order to generate and synthesize information at regional scale.