Potential effects of climate change on the distribution range of the main silicate sinker of the Southern Ocean
Potential effects of climate change on the distribution range of the main silicate sinker of the Southern Ocean
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气候变化对南大洋主要硅酸盐沉降物分布范围的潜在影响
DOI：
10.1002/ece3.1138
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发表时间：
2014
影响因子：
2.6
通讯作者：
Beszteri
中科院分区：
文献类型：
--
作者：
Pinkernell;Beszteri
克氏拟脆藻是南极绕极流中的优势硅藻，被认为是生物硅酸盐泵的主要驱动力之一。在这里，我们研究了这一重要物种的分布以及气候变化对其产生的预期后果，使用相关的物种分布模型和公开的仅存在数据。由于海洋浮游植物的SDM经验很少，这也是对这一生物群体的试点研究。利用最大熵法计算了海表温度、盐度、硝酸盐和硅酸盐含量等环境因子的年、月分布模型。观测数据来自GBIF和全球硅藻数据库，用于进一步分析的数据也来自胡斯特硅藻保藏中心（BRM）。模型预测当前年度和季节性环境数据，研究电流分布及其季节性。此外，我们预测的季节性模型对未来的环境数据从气候模式2100年。根据目前的年平均环境数据预测，所有模型显示出相似的分布格局forF. kerguelensis。月模型显示季节性，例如，南部的分布边界向北移动，在冬季。对未来情景的预测导致分布区适度缩小至可忽略不计，季节性也发生变化。我们在公开的观测数据集中发现了实质性的偏差，这可以通过我们从胡斯特硅藻标本馆获得的额外观测记录来减少。从模型中推断出的现今分布模式与背景知识和以前关于F.kerguelensisdistribution的报道吻合得很好，表明基于最大熵的分布模型适用于绘制海洋浮游生物的分布模式。我们的情景预测表明，气候变化对F.kerguelensis的地理分布有中度影响。
Fragilariopsis kerguelensis, a dominant diatom species throughout the Antarctic Circumpolar Current, is coined to be one of the main drivers of the biological silicate pump. Here, we study the distribution of this important species and expected consequences of climate change upon it, using correlative species distribution modeling and publicly available presence‐only data. As experience with SDM is scarce for marine phytoplankton, this also serves as a pilot study for this organism group. We used the maximum entropy method to calculate distribution models for the diatomF. kerguelensisbased on yearly and monthly environmental data (sea surface temperature, salinity, nitrate and silicate concentrations). Observation data were harvested from GBIF and the Global Diatom Database, and for further analyses also from the Hustedt Diatom Collection (BRM). The models were projected on current yearly and seasonal environmental data to study current distribution and its seasonality. Furthermore, we projected the seasonal model on future environmental data obtained from climate models for the year 2100. Projected on current yearly averaged environmental data, all models showed similar distribution patterns forF. kerguelensis. The monthly model showed seasonality, for example, a shift of the southern distribution boundary toward the north in the winter. Projections on future scenarios resulted in a moderately to negligibly shrinking distribution area and a change in seasonality. We found a substantial bias in the publicly available observation datasets, which could be reduced by additional observation records we obtained from the Hustedt Diatom Collection. Present‐day distribution patterns inferred from the models coincided well with background knowledge and previous reports aboutF. kerguelensisdistribution, showing that maximum entropy‐based distribution models are suitable to map distribution patterns for oceanic planktonic organisms. Our scenario projections indicate moderate effects of climate change upon the biogeography ofF. kerguelensis.
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缝合利基——利基概念的实用哲学和视觉示意图
影响因子：
3.9
作者：
G. McInerny;R. Etienne
通讯作者：
R. Etienne
南大洋硅藻泥带的起源；
影响因子：
1.5
作者：
L. Burckle;J. Cirilli
通讯作者：
J. Cirilli
DOI：
10.1073/pnas.1309345110
发表时间：
2013-12-17
影响因子：
11.1
作者：
Assmy, Philipp;Smetacek, Victor;Wolf-Gladrow, Dieter
通讯作者：
Wolf-Gladrow, Dieter
影响因子：
4.9
作者：
Hoffmann, L. J.;Peeken, I.;Lochte, K.
通讯作者：
Lochte, K.
世界海洋数据库，2001 年。第 1 卷，简介
DOI：
--
发表时间：
2002
期刊：
影响因子：
--
作者：
S. Levitus;M. Conkright
通讯作者：
M. Conkright