@article{ChipmanFerrierBrenaetal.2014,
  author    = {Chipman, Ariel D. and Ferrier, David E. K. and Brena, Carlo and Qu, Jiaxin and Hughes, Daniel S. T. and Schroeder, Reinhard and Torres-Oliva, Montserrat and Znassi, Nadia and Jiang, Huaiyang and Almeida, Francisca C. and Alonso, Claudio R. and Apostolou, Zivkos and Aqrawi, Peshtewani and Arthur, Wallace and Barna, Jennifer C. J. and Blankenburg, Kerstin P. and Brites, Daniela and Capella-Gutierrez, Salvador and Coyle, Marcus and Dearden, Peter K. and Du Pasquier, Louis and Duncan, Elizabeth J. and Ebert, Dieter and Eibner, Cornelius and Erikson, Galina and Evans, Peter D. and Extavour, Cassandra G. and Francisco, Liezl and Gabaldon, Toni and Gillis, William J. and Goodwin-Horn, Elizabeth A. and Green, Jack E. and Griffiths-Jones, Sam and Grimmelikhuijzen, Cornelis J. P. and Gubbala, Sai and Guigo, Roderic and Han, Yi and Hauser, Frank and Havlak, Paul and Hayden, Luke and Helbing, Sophie and Holder, Michael and Hui, Jerome H. L. and Hunn, Julia P. and Hunnekuhl, Vera S. and Jackson, LaRonda and Javaid, Mehwish and Jhangiani, Shalini N. and Jiggins, Francis M. and Jones, Tamsin E. and Kaiser, Tobias S. and Kalra, Divya and Kenny, Nathan J. and Korchina, Viktoriya and Kovar, Christie L. and Kraus, F. Bernhard and Lapraz, Francois and Lee, Sandra L. and Lv, Jie and Mandapat, Christigale and Manning, Gerard and Mariotti, Marco and Mata, Robert and Mathew, Tittu and Neumann, Tobias and Newsham, Irene and Ngo, Dinh N. and Ninova, Maria and Okwuonu, Geoffrey and Ongeri, Fiona and Palmer, William J. and Patil, Shobha and Patraquim, Pedro and Pham, Christopher and Pu, Ling-Ling and Putman, Nicholas H. and Rabouille, Catherine and Ramos, Olivia Mendivil and Rhodes, Adelaide C. and Robertson, Helen E. and Robertson, Hugh M. and Ronshaugen, Matthew and Rozas, Julio and Saada, Nehad and Sanchez-Gracia, Alejandro and Scherer, Steven E. and Schurko, Andrew M. and Siggens, Kenneth W. and Simmons, DeNard and Stief, Anna and Stolle, Eckart and Telford, Maximilian J. and Tessmar-Raible, Kristin and Thornton, Rebecca and van der Zee, Maurijn and von Haeseler, Arndt and Williams, James M. and Willis, Judith H. and Wu, Yuanqing and Zou, Xiaoyan and Lawson, Daniel and Muzny, Donna M. and Worley, Kim C. and Gibbs, Richard A. and Akam, Michael and Richards, Stephen},
  title     = {The first myriapod genome sequence reveals conservative arthropod gene content and genome organisation in the centipede Strigamia maritima},
  series = {PLoS biology},
  volume    = {12},
  journal   = {PLoS biology},
  number    = {11},
  publisher = {PLoS},
  address   = {San Fransisco},
  issn      = {1545-7885},
  doi       = {10.1371/journal.pbio.1002005},
  pages     = {24},
  year      = {2014},
  abstract  = {Myriapods (e. g., centipedes and millipedes) display a simple homonomous body plan relative to other arthropods. All members of the class are terrestrial, but they attained terrestriality independently of insects. Myriapoda is the only arthropod class not represented by a sequenced genome. We present an analysis of the genome of the centipede Strigamia maritima. It retains a compact genome that has undergone less gene loss and shuffling than previously sequenced arthropods, and many orthologues of genes conserved from the bilaterian ancestor that have been lost in insects. Our analysis locates many genes in conserved macro-synteny contexts, and many small-scale examples of gene clustering. We describe several examples where S. maritima shows different solutions from insects to similar problems. The insect olfactory receptor gene family is absent from S. maritima, and olfaction in air is likely effected by expansion of other receptor gene families. For some genes S. maritima has evolved paralogues to generate coding sequence diversity, where insects use alternate splicing. This is most striking for the Dscam gene, which in Drosophila generates more than 100,000 alternate splice forms, but in S. maritima is encoded by over 100 paralogues. We see an intriguing linkage between the absence of any known photosensory proteins in a blind organism and the additional absence of canonical circadian clock genes. The phylogenetic position of myriapods allows us to identify where in arthropod phylogeny several particular molecular mechanisms and traits emerged. For example, we conclude that juvenile hormone signalling evolved with the emergence of the exoskeleton in the arthropods and that RR-1 containing cuticle proteins evolved in the lineage leading to Mandibulata. We also identify when various gene expansions and losses occurred. The genome of S. maritima offers us a unique glimpse into the ancestral arthropod genome, while also displaying many adaptations to its specific life history.},
  language  = {en}
}
@article{KlemmHerzschuhPisaricetal.2013,
  author    = {Klemm, Juliane and Herzschuh, Ulrike and Pisaric, Michael F. J. and Telford, Richard J. and Heim, Birgit and Pestryakova, Luidmila Agafyevna},
  title     = {A pollen-climate transfer function from the tundra and taiga vegetation in Arctic Siberia and its applicability to a Holocene record},
  series = {Palaeogeography, palaeoclimatology, palaeoecology : an international journal for the geo-sciences},
  volume    = {386},
  journal   = {Palaeogeography, palaeoclimatology, palaeoecology : an international journal for the geo-sciences},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0031-0182},
  doi       = {10.1016/j.palaeo.2013.06.033},
  pages     = {702 -- 713},
  year      = {2013},
  abstract  = {This study aims to establish, evaluate, and apply a modern pollen-climate transfer function from the transition zone between arctic tundra and light-needled taiga in Arctic Siberia. Lacustrine samples (n = 96) from the northern Siberian lowlands of Yakutia were collected along four north-to-south transects crossing the arctic forest line. Samples span a broad temperature and precipitation gradient (mean July temperature, T-July: 7.5-18.7 degrees C; mean annual precipitation, P-ann: 114-315 mm/yr). Redundancy analyses are used to examine the relationship between the modern pollen signal and corresponding vegetation types and climate. Performance of transfer functions for T-July and P-ann were cross-validated and tested for spatial autocorrelation effects. The root mean square errors of prediction are 1.67 degrees C for T-July and 40 mm/yr for P-ann. A climate reconstruction based on fossil pollen spectra from a Siberian Arctic lake sediment core spanning the Holocene yielded cold conditions for the Late Glacial (1-2 degrees C below present T-July). Warm and moist conditions were reconstructed for the early to mid Holocene (2 degrees C higher T-July than present), and climate conditions similar to modern ones were reconstructed for the last 4000 years. In conclusion, our modern pollen data set fills the gap of existing regional calibration sets with regard to the underrepresented Siberian tundra-taiga transition zone. The Holocene climate reconstruction indicates that the temperature deviation from modern values was only moderate despite the assumed Arctic sensitivity to present climate change.},
  language  = {en}
}
@article{CaoTianTelfordetal.2017,
  author    = {Cao, Xianyong and Tian, Fang and Telford, Richard J. and Ni, Jian and Xu, Qinghai and Chen, Fahu and Liu, Xingqi and Stebich, Martina and Zhao, Yan and Herzschuh, Ulrike},
  title     = {Impacts of the spatial extent of pollen-climate calibration-set on the absolute values, range and trends of reconstructed Holocene precipitation},
  series = {Quaternary science reviews : the international multidisciplinary research and review journal},
  volume    = {178},
  journal   = {Quaternary science reviews : the international multidisciplinary research and review journal},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0277-3791},
  doi       = {10.1016/j.quascirev.2017.10.030},
  pages     = {37 -- 53},
  year      = {2017},
  abstract  = {Pollen-based quantitative reconstructions of past climate variables is a standard palaeoclimatic approach. Despite knowing that the spatial extent of the calibration-set affects the reconstruction result, guidance is lacking as to how to determine a suitable spatial extent of the pollen-climate calibration-set. In this study, past mean annual precipitation (P-ann) during the Holocene (since 11.5 cal ka BP) is reconstructed repeatedly for pollen records from Qinghai Lake (36.7 degrees N, 100.5 degrees E; north-east Tibetan Plateau), Gonghai Lake (38.9 degrees N, 112.2 degrees E; north China) and Sihailongwan Lake (42.3 degrees N, 126.6 degrees E; north-east China) using calibration-sets of varying spatial extents extracted from the modern pollen dataset of China and Mongolia (2559 sampling sites and 168 pollen taxa in total). Results indicate that the spatial extent of the calibration-set has a strong impact on model performance, analogue quality and reconstruction diagnostics (absolute value, range, trend, optimum). Generally, these effects are stronger with the modern analogue technique (MAT) than with weighted averaging partial least squares (WA-PLS). With respect to fossil spectra from northern China, the spatial extent of calibration-sets should be restricted to radii between ca. 1000 and 1500 km because small-scale calibration-sets (<800 km radius) will likely fail to include enough spatial variation in the modern pollen assemblages to reflect the temporal range shifts during the Holocene, while too broad a scale calibration-set (>1500 km radius) will include taxa with very different pollen-climate relationships. (C) 2017 Elsevier Ltd. All rights reserved.},
  language  = {en}
}
@article{HerzschuhCaoLaeppleetal.2019,
  author    = {Herzschuh, Ulrike and Cao, Xianyong and Laepple, Thomas and Dallmeyer, Anne and Telford, Richard J. and Ni, Jian and Chen, Fahu and Kong, Zhaochen and Liu, Guangxiu and Liu, Kam-Biu and Liu, Xingqi and Stebich, Martina and Tang, Lingyu and Tian, Fang and Wang, Yongbo and Wischnewski, Juliane and Xu, Qinghai and Yan, Shun and Yang, Zhenjing and Yu, Ge and Zhang, Yun and Zhao, Yan and Zheng, Zhuo},
  title     = {Position and orientation of the westerly jet determined Holocene rainfall patterns in China},
  series = {Nature Communications},
  volume    = {10},
  journal   = {Nature Communications},
  publisher = {Nature Publ. Group},
  address   = {London},
  issn      = {2041-1723},
  doi       = {10.1038/s41467-019-09866-8},
  pages     = {8},
  year      = {2019},
  abstract  = {Proxy-based reconstructions and modeling of Holocene spatiotemporal precipitation patterns for China and Mongolia have hitherto yielded contradictory results indicating that the basic mechanisms behind the East Asian Summer Monsoon and its interaction with the westerly jet stream remain poorly understood. We present quantitative reconstructions of Holocene precipitation derived from 101 fossil pollen records and analyse them with the help of a minimal empirical model. We show that the westerly jet-stream axis shifted gradually southward and became less tilted since the middle Holocene. This was tracked by the summer monsoon rain band resulting in an early-Holocene precipitation maximum over most of western China, a mid-Holocene maximum in north-central and northeastern China, and a late-Holocene maximum in southeastern China. Our results suggest that a correct simulation of the orientation and position of the westerly jet stream is crucial to the reliable prediction of precipitation patterns in China and Mongolia.},
  language  = {en}
}
@article{HerzschuhBoehmerLietal.2022,
  author    = {Herzschuh, Ulrike and B{\"o}hmer, Thomas and Li, Chenzhi and Cao, Xianyong and H{\´e}bert, Rapha{\"e}l and Dallmeyer, Anne and Telford, Richard J. and Kruse, Stefan},
  title     = {Reversals in temperature-precipitation correlations in the Northern Hemisphere extratropics during the Holocene},
  series = {Geophysical research letters},
  volume    = {49},
  journal   = {Geophysical research letters},
  number    = {22},
  publisher = {American Geophysical Union},
  address   = {Washington},
  issn      = {0094-8276},
  doi       = {10.1029/2022GL099730},
  pages     = {11},
  year      = {2022},
  abstract  = {Future precipitation levels remain uncertain because climate models have struggled to reproduce observed variations in temperature-precipitation correlations. Our analyses of Holocene proxy-based temperature-precipitation correlations and hydrological sensitivities from 2,237 Northern Hemisphere extratropical pollen records reveal a significant latitudinal dependence and temporal variations among the early, middle, and late Holocene. These proxy-based variations are largely consistent with patterns obtained from transient climate simulations (TraCE21k). While high latitudes and subtropical monsoon areas show mainly stable positive correlations throughout the Holocene, the mid-latitude pattern is temporally and spatially more variable. In particular, we identified a reversal from positive to negative temperature-precipitation correlations in the eastern North American and European mid-latitudes from the early to mid-Holocene that mainly related to slowed down westerlies and a switch to moisture-limited convection under a warm climate. Our palaeoevidence of past temperature-precipitation correlation shifts identifies those regions where simulating past and future precipitation levels might be particularly challenging.},
  language  = {en}
}
@article{CaoHerzschuhTelfordetal.2014,
  author    = {Cao, Xianyong and Herzschuh, Ulrike and Telford, Richard J. and Ni, Jian},
  title     = {A modern pollen-climate dataset from China and Mongolia: assessing its potential for climate reconstruction},
  series = {Review of palaeobotany and palynology : an international journal},
  volume    = {211},
  journal   = {Review of palaeobotany and palynology : an international journal},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0034-6667},
  doi       = {10.1016/j.revpalbo.2014.08.007},
  pages     = {87 -- 96},
  year      = {2014},
  abstract  = {A modern pollen dataset from China and Mongolia (18-52 degrees N, 74-132 degrees E) is investigated for its potential use in climate reconstructions. The dataset includes 2559 samples, 229 terrestrial pollen taxa and four climatic variables - mean annual precipitation (P-ann): 35-2091 mm, mean annual temperature (T-ann): -12.1-25.8 degrees C, mean temperature in the coldest month (Mt(co).): -33.8-21.7 degrees C, and mean temperature in the warmest month (Mt(wa)): 03-29.8 degrees C. Modern pollen-climate relationships are assessed using canonical correspondence analysis (CCA), Huisman-Olff-Fresco (HOF) models, the modern analogue technique (MAT), and weighted averaging partial least squares (WA-PLS). Results indicate that P-ann is the most important climatic determinant of pollen distribution and the most promising climate variable for reconstructions, as assessed by the coefficient of determination between observed and predicted environmental values (r(2)) and root mean square error of prediction (RMSEP). Mt(co) and Mt(wa) may be reconstructed too, but with caution. Samples from different depositional environments influence the performance of cross-validation differently, with samples from lake sediment-surfaces and moss polsters having the best fit with the lowest RMSEP. The better model performances of MAT are most probably caused by spatial autocorrelation. Accordingly, the WA-PLS models of this dataset are deemed most suitable for reconstructing past climate quantitatively because of their more reliable predictive power. (C) 2014 Elsevier B.V. All rights reserved.},
  language  = {en}
}
@article{TianHerzschuhTelfordetal.2014,
  author    = {Tian, Fang and Herzschuh, Ulrike and Telford, Richard J. and Mischke, Steffen and Van der Meeren, Thijs and Krengel, Michael},
  title     = {A modern pollen-climate calibration set from central-western Mongolia and its application to a late glacial-Holocene record},
  series = {Journal of biogeography},
  volume    = {41},
  journal   = {Journal of biogeography},
  number    = {10},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {0305-0270},
  doi       = {10.1111/jbi.12338},
  pages     = {1909 -- 1922},
  year      = {2014},
  abstract  = {AimFossil pollen spectra from lake sediments in central and western Mongolia have been used to interpret past climatic variations, but hitherto no suitable modern pollen-climate calibration set has been available to infer past climate changes quantitatively. We established such a modern pollen dataset and used it to develop a transfer function model that we applied to a fossil pollen record in order to investigate: (1) whether there was a significant moisture response to the Younger Dryas event in north-western Mongolia; and (2) whether the early Holocene was characterized by dry or wet climatic conditions. LocationCentral and western Mongolia. MethodsWe analysed pollen data from surface sediments from 90 lakes. A transfer function for mean annual precipitation (P-ann) was developed with weighted averaging partial least squares regression (WA-PLS) and applied to a fossil pollen record from Lake Bayan Nuur (49.98 degrees N, 93.95 degrees E, 932m a.s.l.). Statistical approaches were used to investigate the modern pollen-climate relationships and assess model performance and reconstruction output. ResultsRedundancy analysis shows that the modern pollen spectra are characteristic of their respective vegetation types and local climate. Spatial autocorrelation and significance tests of environmental variables show that the WA-PLS model for P-ann is the most valid function for our dataset, and possesses the lowest root mean squared error of prediction. Main conclusionsPrecipitation is the most important predictor of pollen and vegetation distributions in our study area. Our quantitative climate reconstruction indicates a dry Younger Dryas, a relatively dry early Holocene, a wet mid-Holocene and a dry late Holocene.},
  language  = {en}
}