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2. Provinces des Prairies

Author

Sauchyn, D, primary, Davidson, D, additional, Johnston, M, additional, Flannigan, M, additional, Fletcher, A, additional, Isaac, K, additional, Kulshreshtha, S, additional, Kowalczyk, T, additional, Mauro, I, additional, Pittman, J, additional, Reed, MG, additional, Schneider, R, additional, VanHam, M, additional, and Wheaton, E, additional

Published
2020
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3. Prairie Provinces

Author

Sauchyn, D, primary, Davidson, D, additional, Johnston, M, additional, Flannigan, M, additional, Fletcher, A, additional, Isaac, K, additional, Kulshreshtha, S, additional, Kowalczyk, T, additional, Mauro, I, additional, Pittman, J, additional, Reed, MG, additional, Schneider, R, additional, VanHam, M, additional, and Wheaton, E, additional

Published
2020
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6. Data Descriptor: A global multiproxy database for temperature reconstructions of the Common Era

Author

Emile-Geay, J, McKay, NP, Kaufman, DS, von Gunten, L, Wang, J, Anchukaitis, KJ, Abram, NJ, Addison, JA, Curran, MAJ, Evans, MN, Henley, BJ, Hao, Z, Martrat, B, McGregor, HV, Neukom, R, Pederson, GT, Stenni, B, Thirumalai, K, Werner, JP, Xu, C, Divine, DV, Dixon, BC, Gergis, J, Mundo, IA, Nakatsuka, T, Phipps, SJ, Routson, CC, Steig, EJ, Tierney, JE, Tyler, JJ, Allen, KJ, Bertler, NAN, Bjorklund, J, Chase, BM, Chen, M-T, Cook, E, de Jong, R, DeLong, KL, Dixon, DA, Ekaykin, AA, Ersek, V, Filipsson, HL, Francus, P, Freund, MB, Frezzotti, M, Gaire, NP, Gajewski, K, Ge, Q, Goosse, H, Gornostaeva, A, Grosjean, M, Horiuchi, K, Hormes, A, Husum, K, Isaksson, E, Kandasamy, S, Kawamura, K, Kilbourne, KH, Koc, N, Leduc, G, Linderholm, HW, Lorrey, AM, Mikhalenko, V, Mortyn, PG, Motoyama, H, Moy, AD, Mulvaney, R, Munz, PM, Nash, DJ, Oerter, H, Opel, T, Orsi, AJ, Ovchinnikov, DV, Porter, TJ, Roop, HA, Saenger, C, Sano, M, Sauchyn, D, Saunders, KM, Seidenkrantz, M-S, Severi, M, Shao, X, Sicre, M-A, Sigl, M, Sinclair, K, St George, S, St Jacques, J-M, Thamban, M, Thapa, UK, Thomas, ER, Turney, C, Uemura, R, Viau, AE, Vladimirova, DO, Wahl, ER, White, JWC, Yu, Z, Zinke, J, Emile-Geay, J, McKay, NP, Kaufman, DS, von Gunten, L, Wang, J, Anchukaitis, KJ, Abram, NJ, Addison, JA, Curran, MAJ, Evans, MN, Henley, BJ, Hao, Z, Martrat, B, McGregor, HV, Neukom, R, Pederson, GT, Stenni, B, Thirumalai, K, Werner, JP, Xu, C, Divine, DV, Dixon, BC, Gergis, J, Mundo, IA, Nakatsuka, T, Phipps, SJ, Routson, CC, Steig, EJ, Tierney, JE, Tyler, JJ, Allen, KJ, Bertler, NAN, Bjorklund, J, Chase, BM, Chen, M-T, Cook, E, de Jong, R, DeLong, KL, Dixon, DA, Ekaykin, AA, Ersek, V, Filipsson, HL, Francus, P, Freund, MB, Frezzotti, M, Gaire, NP, Gajewski, K, Ge, Q, Goosse, H, Gornostaeva, A, Grosjean, M, Horiuchi, K, Hormes, A, Husum, K, Isaksson, E, Kandasamy, S, Kawamura, K, Kilbourne, KH, Koc, N, Leduc, G, Linderholm, HW, Lorrey, AM, Mikhalenko, V, Mortyn, PG, Motoyama, H, Moy, AD, Mulvaney, R, Munz, PM, Nash, DJ, Oerter, H, Opel, T, Orsi, AJ, Ovchinnikov, DV, Porter, TJ, Roop, HA, Saenger, C, Sano, M, Sauchyn, D, Saunders, KM, Seidenkrantz, M-S, Severi, M, Shao, X, Sicre, M-A, Sigl, M, Sinclair, K, St George, S, St Jacques, J-M, Thamban, M, Thapa, UK, Thomas, ER, Turney, C, Uemura, R, Viau, AE, Vladimirova, DO, Wahl, ER, White, JWC, Yu, Z, and Zinke, J

Abstract

Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850-2014. Global temperature composites show a remarkable degree of coherence between high- and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.

Published
2017

7. A global multiproxy database for temperature reconstructions of the Common Era

Author

Emile-Geay, J., McKay, N., Kaufman, D., Von Gunten, L., Wang, J., Anchukaitis, K., Abram, N., Addison, J., Curran, M., Evans, M., Henley, B., Hao, Z., Martrat, B., McGregor, H., Neukom, R., Pederson, G., Stenni, B., Thirumalai, K., Werner, J., Xu, C., Divine, D., Dixon, B., Gergis, J., Mundo, I., Nakatsuka, T., Phipps, S., Routson, C., Steig, E., Tierney, J., Tyler, J., Allen, K., Bertler, N., Björklund, J., Chase, B., Chen, M., Cook, E., De Jong, R., DeLong, K., Dixon, D., Ekaykin, A., Ersek, V., Filipsson, H., Francus, P., Freund, M., Frezzotti, M., Gaire, N., Gajewski, K., Ge, Q., Goosse, H., Gornostaeva, A., Grosjean, M., Horiuchi, K., Hormes, A., Husum, K., Isaksson, E., Kandasamy, S., Kawamura, K., Kilbourne, K., Koç, N., Leduc, G., Linderholm, H., Lorrey, A., Mikhalenko, V., Mortyn, P., Motoyama, H., Moy, A., Mulvaney, R., Munz, P., Nash, D., Oerter, H., Opel, T., Orsi, A., Ovchinnikov, D., Porter, T., Roop, H., Saenger, C., Sano, M., Sauchyn, D., Saunders, K., Seidenkrantz, M., Severi, M., Shao, X., Sicre, M., Sigl, M., Sinclair, K., St George, S., St Jacques, J., Thamban, M., Thapa, U., Thomas, E., Turney, C., Uemura, R., Viau, A., Vladimirova, D., Wahl, E., White, J., Yu, Z., Zinke, Jens, Emile-Geay, J., McKay, N., Kaufman, D., Von Gunten, L., Wang, J., Anchukaitis, K., Abram, N., Addison, J., Curran, M., Evans, M., Henley, B., Hao, Z., Martrat, B., McGregor, H., Neukom, R., Pederson, G., Stenni, B., Thirumalai, K., Werner, J., Xu, C., Divine, D., Dixon, B., Gergis, J., Mundo, I., Nakatsuka, T., Phipps, S., Routson, C., Steig, E., Tierney, J., Tyler, J., Allen, K., Bertler, N., Björklund, J., Chase, B., Chen, M., Cook, E., De Jong, R., DeLong, K., Dixon, D., Ekaykin, A., Ersek, V., Filipsson, H., Francus, P., Freund, M., Frezzotti, M., Gaire, N., Gajewski, K., Ge, Q., Goosse, H., Gornostaeva, A., Grosjean, M., Horiuchi, K., Hormes, A., Husum, K., Isaksson, E., Kandasamy, S., Kawamura, K., Kilbourne, K., Koç, N., Leduc, G., Linderholm, H., Lorrey, A., Mikhalenko, V., Mortyn, P., Motoyama, H., Moy, A., Mulvaney, R., Munz, P., Nash, D., Oerter, H., Opel, T., Orsi, A., Ovchinnikov, D., Porter, T., Roop, H., Saenger, C., Sano, M., Sauchyn, D., Saunders, K., Seidenkrantz, M., Severi, M., Shao, X., Sicre, M., Sigl, M., Sinclair, K., St George, S., St Jacques, J., Thamban, M., Thapa, U., Thomas, E., Turney, C., Uemura, R., Viau, A., Vladimirova, D., Wahl, E., White, J., Yu, Z., and Zinke, Jens

Abstract

Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850-2014. Global temperature composites show a remarkable degree of coherence between high- and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.

Published
2017

13. Landsat applied to landslide mapping

Author

Sauchyn, D. J and Trench, N. R

Subjects
Earth Resources And Remote Sensing
Abstract

A variety of features characteristic of rotational landslides may be identified on Landsat imagery. These include tonal mottling, tonal banding, major and secondary scarps, and ponds. Pseudostereoscopic viewing of 9 by 9 in. transparencies was useful for the detailed identification of landslides, whereas 1:250,000 prints enlarged from 70 mm negatives were most suitable for regional analysis. Band 7 is the most useful band for landslide recognition, due to accentuation of ponds and shadows. Examination of both bands 7 and 5, including vegetation information, was found to be most suitable. Although, given optimum terrain conditions, some landslides in Colorado may be recognized, many smaller landslides are not identifiable. Consequently, Landsat is not recommended for detailed regional mapping, or for use in areas similar to Colorado, where alternative (aircraft) imagery is available. However, Landsat may prove useful for preliminary landslide mapping in relatively unknown areas.

Published
1978

16. A Holocene paleosalinity diatom record from southwestern Saskatchewan, Canada: Harris Lake revisited

Author

Sauchyn, D. J., Smol, J. P., and Wilson, S. E.

Subjects
SALINITY, CLIMATE change, DIATOMS, PALEOLIMNOLOGY
Abstract

Fossil diatoms were analysed from a 10.3 m core from Harris Lake, Cypress Hills, Saskatchewan, and a diatom-salinity transfer function was used to construct a history of Holocene salinity changes for the lake. The diatom paleosalinity record indicates that Harris Lake remained fresh ( less than 0.5 g l{sup}-1{end}) throughout the Holocene, with only slight increases in salinity between approximately 6500 and 5200 years BP. This interval corresponds to the only period in the lake's history when planktonic diatoms were abundant; benthic Fragilariataxa, mainly F. pinnata, F. construens and F. brevistriata were dominant throughout most of the Holocene. The shift from a benthic to a planktonic diatom flora between 6500 and 5200 years BP may be an indirect response to a warmer climate that reduced forest cover in the watershed and allowed greater rates of inorganic sedimentation. The small salinity increase that accompanies the floristic change is probablynot the result of lower lake levels; in fact the lake was probably deeper at this point than in the later Holocene. This paleosalinity record indicates that Harris Lake did not experience episodes of hypersalinity during the mid-Holocene, as suggested by a previous study, and that the lake may have been fresh during the early Holocene as well. [ABSTRACT FROM AUTHOR]

Published
1997

18. A global multiproxy database for temperature reconstructions of the Common Era

Author

Dmitry Divine, Dmitriy V. Ovchinnikov, Hugues Goosse, Marit-Solveig Seidenkrantz, Anne Hormes, Narayan Prasad Gaire, Joelle Gergis, Katrine Husum, David J. Nash, Konrad Gajewski, Jens Zinke, Vladimir Mikhalenko, Darrell S. Kaufman, Eugene R. Wahl, Martin Grosjean, Nancy A. N. Bertler, Pierre Francus, Anastasia Gornostaeva, Diana Vladimirova, Kaustubh Thirumalai, Lucien von Gunten, Kevin J. Anchukaitis, Michael Sigl, Ryu Uemura, Michael N. Evans, Hideaki Motoyama, Scott St. George, Marie-Alexandrine Sicre, Chris S. M. Turney, Johannes P. Werner, Robert Mulvaney, Jianghao Wang, Brian M. Chase, Mark A. J. Curran, Julien Emile-Geay, Takeshi Nakatsuka, David J. Sauchyn, Nerilie J. Abram, Bronwyn C. Dixon, Raphael Neukom, Cody C. Routson, Trevor J. Porter, Selvaraj Kandasamy, Mirko Severi, Massimo Frezzotti, Steven J. Phipps, Hans W. Linderholm, A. E. Viau, P. Graham Mortyn, Jessica E. Tierney, Eric J. Steig, Heidi A. Roop, K. Halimeda Kilbourne, Jason A. Addison, Jonathan J. Tyler, Mandy Freund, Daniel A. Dixon, Belen Martrat, Chenxi Xu, Krystyna M. Saunders, Min Te Chen, Xuemei Shao, Vasile Ersek, Philipp Munz, Hans Oerter, Masaki Sano, Zhixin Hao, Meloth Thamban, Alexey A. Ekaykin, Barbara Stenni, Kazuho Horiuchi, Ignacio A. Mundo, Zicheng Yu, Gregory T. Pederson, James W. C. White, Nalan Koc, Elisabeth Isaksson, Kathryn Allen, Rixt de Jong, Jeannine-Marie St. Jacques, Andrew Lorrey, Guillaume Leduc, Quansheng Ge, Kristine L. DeLong, Kenji Kawamura, Anais Orsi, Thomas Opel, Edward R. Cook, Kate E. Sinclair, Benjamin J. Henley, Nicholas P. McKay, Helen McGregor, Andrew D. Moy, Elizabeth R. Thomas, Jesper Björklund, Helena L. Filipsson, Udya Kuwar Thapa, Casey Saenger, Northern Arizona University [Flagstaff], Australian National University (ANU), United States Geological Survey [Reston] (USGS), University of Maryland [College Park], University of Maryland System, Spanish National Research Council [Madrid] (CSIC), School of Biological, Earth and Environmental Sciences [Sydney] (BEES), University of New South Wales [Sydney] (UNSW), Oeschger Centre for Climate Change Research (OCCR), University of Bern, Dipartimento di Scienze Geologiche [Trieste], Università degli studi di Trieste, University of Texas at Austin [Austin], Department of Earth and Space Sciences [Seattle], University of Washington [Seattle], Department of Earth Sciences [Oxford], University of Oxford [Oxford], Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Climate Change Institute (CCI), University of Maine, University of Northumbria at Newcastle [United Kingdom], Lund University [Lund], Centre Eau Terre Environnement - INRS (INRS-ETE), Institut National de la Recherche Scientifique [Québec] (INRS), Italian National agency for new technologies, Energy and sustainable economic development [Frascati] (ENEA), Nepal Academy of Science and Technology, Université Catholique de Louvain (UCL), Quaternary Geology, The University Centre in Svalbard (UNIS), Norwegian Polar Institute, Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern]-Universität Bern [Bern], University of Maryland Center for Environmental Science, Horn Point Laboratory, Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Collège de France (CdF)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Institut National de la Recherche Agronomique (INRA), Universitat Autònoma de Barcelona [Barcelona] (UAB), National Institute of Polar Research [Tokyo] (NiPR), British Antarctic Survey (BAS), Natural Environment Research Council (NERC), School of Environment and Technology, University of Brighton, Abteilung Klinische Sozialmedizin, Berufs- und Umweltdermatologie, Universität Heidelberg [Heidelberg], Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), The University of Tokyo, Laboratoire de géographie physique : Environnements Quaternaires et Actuels (LGP), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Panthéon-Sorbonne (UP1), Aarhus University [Aarhus], Department of Chemistry, University of Florence (UNIFI), Biogéochimie-Traceurs-Paléoclimat (BTP), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN), Paul Scherrer Institute (PSI), University of the Ryukyus [Okinawa], Australian Institute of Marine Science (AIMS), PAGES 2k, Università degli studi di Trieste = University of Trieste, University of Oxford, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Climate Change Institute [Orono] (CCI), Centre Eau Terre Environnement [Québec] (INRS - ETE), Université Catholique de Louvain = Catholic University of Louvain (UCL), Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Universitat Autònoma de Barcelona (UAB), Universität Heidelberg [Heidelberg] = Heidelberg University, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Glaces et Continents, Climats et Isotopes Stables (GLACCIOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), The University of Tokyo (UTokyo), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Firenze = University of Florence (UniFI), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Collège de France (CdF (institution))-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Emile-Geay, J., Mckay, N. P., Kaufman, D. S., Von Gunten, L., Wang, Junrong, Anchukaitis, K. J., Abram, N. J., Addison, J. A., Curran, M. A. J., Evans, M. N., Henley, B. J., Hao, Z., Martrat, B., Mcgregor, H. V., Neukom, R., Pederson, G. T., Stenni, B., Thirumalai, K., Werner, J. P., Xu, C., Divine, D. V., Dixon, B. C., Gergis, J., Mundo, I. A., Nakatsuka, T., Phipps, S. J., Routson, C. C., Steig, E. J., Tierney, J. E., Tyler, J. J., Allen, K. J., Bertler, N. A. N., Bjorklund, J., Chase, B. M., Chen, M. -T., Cook, E., De Jong, R., Delong, K. L., Dixon, D. A., Ekaykin, A. A., Ersek, V., Filipsson, H. L., Francus, P., Freund, M. B., Frezzotti, M., Gaire, N. P., Gajewski, K., Ge, Q., Goosse, H., Gornostaeva, A., Grosjean, M., Horiuchi, K., Hormes, A., Husum, K., Isaksson, E., Kandasamy, S., Kawamura, K., Kilbourne, K. H., Koc, N., Leduc, G., Linderholm, H. W., Lorrey, A. M., Mikhalenko, V., Mortyn, P. G., Motoyama, H., Moy, A. D., Mulvaney, R., Munz, P. M., Nash, D. J., Oerter, H., Opel, T., Orsi, A. J., Ovchinnikov, D. V., Porter, T. J., Roop, H. A., Saenger, C., Sano, M., Sauchyn, D., Saunders, K. M., Seidenkrantz, M. -S., Severi, M., Shao, X., Sicre, M. -A., Sigl, M., Sinclair, K., St George, S., St Jacques, J. -M., Thamban, M., Thapa, U. K., Thomas, E. R., Turney, C., Uemura, R., Viau, A. E., Vladimirova, D. O., Wahl, E. R., White, J. W. C., Yu, Z., Zinke, J., École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226, and UCL - SST/ELI/ELIC - Earth & Climate

Subjects
Data Descriptor, 010504 meteorology & atmospheric sciences, VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412, VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412, F800, computer.software_genre, Palaeoclimate, 01 natural sciences, Proxy (climate), CECI [CISM], calcification, data integration objective, Climate change, trace metal analysis, 910 Geography & travel, geography.geographical_feature_category, Database, G500, data acquisition system, temperature of environmental material, Computer Science Applications, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Temperature reconstruction, Statistics, Probability and Uncertainty, Tree ring, Geology, wood, Information Systems, Statistics and Probability, glacial ice, radiance, 010506 paleontology, observation design, Library and Information Sciences, archaeal metabolite, Education, time series design, stable isotope analysis, Dendrochronology, 550 Earth sciences & geology, 0105 earth and related environmental sciences, geography, Global temperature, Glacier, 15. Life on land, Sea surface temperature, sediment, 13. Climate action, North Atlantic oscillation, Oceanic basin, computer
Abstract

Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850-2014. Global temperature composites show a remarkable degree of coherence between high- and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python., PAGES, a core project of Future Earth, is supported by the U.S. and Swiss National Science Foundations. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Some of this work was conducted as part of the North America 2k Working Group supported by the John Wesley Powell Center for Analysis and Synthesis, funded by the U.S. Geological Survey. B. Bauer, W. Gross, and E. Gille (NOAA National Centers for Environmental Information) are gratefully acknowledged for helping assemble the data citations and creating the NCEI versions of the PAGES 2k data records. We thank all the investigators whose commitment to data sharing enables the open science ethos embodied by this project.

Published
2017

23. Continental-scale tree-ring-based projection of Douglas-fir growth: Testing the limits of space-for-time substitution.

Author

Klesse S, DeRose RJ, Babst F, Black BA, Anderegg LDL, Axelson J, Ettinger A, Griesbauer H, Guiterman CH, Harley G, Harvey JE, Lo YH, Lynch AM, O'Connor C, Restaino C, Sauchyn D, Shaw JD, Smith DJ, Wood L, Villanueva-Díaz J, and Evans MEK

Subjects
Climate Change, Ecosystem, North America, Northwestern United States, Trees, Pseudotsuga
Abstract

A central challenge in global change research is the projection of the future behavior of a system based upon past observations. Tree-ring data have been used increasingly over the last decade to project tree growth and forest ecosystem vulnerability under future climate conditions. But how can the response of tree growth to past climate variation predict the future, when the future does not look like the past? Space-for-time substitution (SFTS) is one way to overcome the problem of extrapolation: the response at a given location in a warmer future is assumed to follow the response at a warmer location today. Here we evaluated an SFTS approach to projecting future growth of Douglas-fir (Pseudotsuga menziesii), a species that occupies an exceptionally large environmental space in North America. We fit a hierarchical mixed-effects model to capture ring-width variability in response to spatial and temporal variation in climate. We found opposing gradients for productivity and climate sensitivity with highest growth rates and weakest response to interannual climate variation in the mesic coastal part of Douglas-fir's range; narrower rings and stronger climate sensitivity occurred across the semi-arid interior. Ring-width response to spatial versus temporal temperature variation was opposite in sign, suggesting that spatial variation in productivity, caused by local adaptation and other slow processes, cannot be used to anticipate changes in productivity caused by rapid climate change. We thus substituted only climate sensitivities when projecting future tree growth. Growth declines were projected across much of Douglas-fir's distribution, with largest relative decreases in the semiarid U.S. Interior West and smallest in the mesic Pacific Northwest. We further highlight the strengths of mixed-effects modeling for reviving a conceptual cornerstone of dendroecology, Cook's 1987 aggregate growth model, and the great potential to use tree-ring networks and results as a calibration target for next-generation vegetation models., (© 2020 John Wiley & Sons Ltd.)

Published
2020
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24. Modeling the hydroclimatic disturbance of soil landscapes in the southern Canadian plains: the problems of scale and place.

Author

Sauchyn DJ

Subjects
Canada, Ecosystem, Forecasting, Geological Phenomena, Geology, Soil, Climate, Models, Theoretical, Water Movements
Abstract

The sensitivity of soil landscapes to climatic variability and hydroclimatic events can be expressed as a landscape change safety factor, the ratio of potential disturbance to resistance to change. The use of a geographic information system (GIS) enables the spatially-explicit modeling of landscape sensitivity, but also raises the risk of violating the characteristic scales of disturbance and resistance, because the GIS technically simplifies the extrapolation of models, and associated concepts, to landscapes and scales not represented by the digital data base. Embedding landscape sensitivity into hierarchy theory, the formal analysis of the hierarchical structure of complex systems, provides a conceptual framework for the transfer of models and variables among landscape scales. In the subhumid southern Canadian plains, major hydroclimatic events (strong winds, intense rain, rapid snow melt) cause much of the physical disturbance of soil landscapes and terrestrial ecosystems. Prolonged dry or wet weather influences the resistance of soil and vegetation to these events. The potential disturbance of soil landscapes therefore can be derived from the probabilities of extreme events and seasonal conditions, as recorded in instrumental and proxy climate records. This time series analysis can be linked to the modeling of landscape sensitivity by establishing the probabilities of hydroclimatic events and climatic conditions which may exceed or lower the resistance of individual soil landscapes.

Published
2001
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