ForamEcoGENIE 2.0: Incorporating symbiosis and spine traits into a trait-based global planktic foraminifera model
ForamEcoGENIE 2.0: Incorporating symbiosis and spine traits into a trait-based global planktic foraminifera model
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ForamEcoGENIE 2.0：将共生和脊柱特征纳入基于特征的全球浮游有孔虫模型
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
D. Schmidt
中科院分区：
文献类型：
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作者：
Rui Ying;F. Monteiro;Jamie D. Wilson;D. Schmidt
.浮游有孔虫是现代海洋中主要的海洋钙化生物，调节海洋无机碳泵，并产生过去气候变化的海洋化石档案。一些浮游有孔虫进化出刺和共生，增加了功能性状的多样性，扩大了它们的生态位。在这里，我们将共生和脊柱性状到ForamEcoGENIE模型，一个基于特征的模型，侧重于功能性状，而不是个别物种，使我们能够研究有孔虫生物多样性在古海洋环境中的重要性。我们使用拉丁超立方体抽样校准了建模的新特征。我们确定了最好的模型运行从合奏的1200运行与全球核心顶部，沉积物陷阱，浮游生物网的观测相比。该模式成功地捕捉到了4个主要功能群的全球分布和季节变化，包括在副热带环流中占主导地位的专性共生型和在副极地生产性海洋中占主导地位的共生贫瘠型。模型对刺15有孔虫的碳输出速率预测正确，但对各类群的全球平均生物量高估了8倍，对非刺有孔虫的全球输出速率高估了4倍。观测偏差和模型在将生物量与出口生产联系起来方面的局限性都可能造成这种差异。我们的模型估计全球平均有孔虫方解石通量为3.05 g m-2 yr-1，方解石总出口量为1.1 Gt yr-1，占全球远洋海洋方解石预算的19%，在现代方解石估计的较低范围内。方解石输出主要来自共生无刺组（39%）和20共生专性刺组（13%）。我们的模型克服了以前版本中生物多样性的缺乏，并提供了潜在的探索有孔虫生态动态及其对现代，未来和古地理环境中的地球化学的影响。计算速度快，广泛应用于过去的气候：古新世-始新世热最大值（Ridgwell和施密特，75 2010），末次冰期最大值（Rae等人，2020）和古近系-古近系界线（Henehan等人，2019年）。这样的计算效率和丰富的应用程序，使ForamEcoGENIE很容易适用于广泛的地质时期与海水碳化学和同位素示踪剂的直接联系。在这项研究中，我们扩展了ForamEcoGENIE，通过添加共生和刺的特征来解析浮游有孔虫的3个更关键的功能组（在Grigoratou等人，2021 b）。因此，我们建立了一个模型，可以探索有孔虫生态群在过去的气候（Ezard等人，80 2011）。我们将该模型与三个全球观测数据汇编（核心顶部，浮游生物网拖和沉积物陷阱）进行比较，并测试其产生表面生物量，有机碳和方解石通量率，以及相对丰度分布的能力。
. Planktic foraminifera are major marine calcifiers in the modern ocean regulating the marine inorganic carbon pump and generating marine fossil archives of past climate change. Some planktic foraminifera evolved spine and symbiosis, increasing functional trait diversity and expanded their ecological niches. Here we incorporate symbiosis and spine traits into the ForamEcoGENIE model, a trait-based model focusing on functional trait rather than individual species, to enable us to 10 study the importance of foraminifera biodiversity in the palaeoceanographic environment. We calibrated the modelled new traits using Latin Hypercube Sampling. We identified the best model run from an ensemble of 1200 runs compared with observations from global core-top, sediment trap, and plankton nets. The model successfully captures the global distribution and seasonal variation of the 4 major functional groups including dominance of the symbiont-obligate type in subtropical gyres and the symbiont-barren type in the productive subpolar oceans. The carbon export rate is correctly predicted for spinose 15 foraminifera, but the model overestimates the global mean biomass of each group by 8 times and global export rate of non-spinose foraminifera by 4 times. Both the observational bias and the model's limitation in linking biomass to export production likely contributes to the discrepancy. Our model approximates a 3.05 g m -2 yr -1 global mean foraminifer-derived calcite flux and 1.1 Gt yr -1 total calcite export, account for 19% of the global pelagic marine calcite budget within the lower range of modern calcite estimates. The calcite export is mostly derived from the symbiont-barren non-spinose group (39%) and the 20 symbiont-obligate spinose group (13%). Our model overcomes the lack of biodiversity in previous version and offers the potential to explore foraminifera ecology dynamics and its impact on biogeochemistry in modern, future and paleogeographic environments. fast computational time and widely applied to past climates: Palaeocene–Eocene Thermal Maximum (Ridgwell and Schmidt, 75 2010), Last Glacial Maximum (Rae et al., 2020) and Cretaceous-Paleogene boundary (Henehan et al., 2019). Such computational efficiency and abundant applications make ForamEcoGENIE easily applicable to a wide range of geological periods with direct links with seawater carbon chemistry and isotope tracers. In this study, we extend ForamEcoGENIE to resolve 3 more critical functional groups of planktic foraminifera by adding the traits of symbiosis and spines (tested in Grigoratou et al., 2021b). Thereby, we build a model that can explore foraminifer ecogroups in past climates (Ezard et al., 80 2011). We compare the model with three global observational data compilations (core-top, plankton net tow and sediment traps) and test its ability to produce surface biomass, organic carbon and calcite flux rate, and relative abundance distribution.
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影响因子：
18.3
作者：
Ridgwell, Andy;Schmidt, Daniela N.
通讯作者：
Schmidt, Daniela N.
影响因子：
4.9
作者：
Cao, L.;Eby, M.;Yool, A.
通讯作者：
Yool, A.
影响因子：
1.9
作者：
Grigoratou, Maria;Monteiro, Fanny M.;Schmidt, Daniela N.
通讯作者：
Schmidt, Daniela N.
影响因子：
5.1
作者：
Markus Adloff;A. Ridgwell;F. Monteiro;I. Parkinson;A. Dickson;Philip A. E. Pogge von Strandmann;M. Fantle;S. Greene
通讯作者：
Markus Adloff;A. Ridgwell;F. Monteiro;I. Parkinson;A. Dickson;Philip A. E. Pogge von Strandmann;M. Fantle;S. Greene
影响因子：
13.6
作者：
Rae JWB;Gray WR;Wills RCJ;Eisenman I;Fitzhugh B;Fotheringham M;Littley EFM;Rafter PA;Rees-Owen R;Ridgwell A;Taylor B;Burke A
通讯作者：
Burke A