TY - JOUR
T1 - The retreat of mountain glaciers since the little ice age
T2 - A spatially explicit database
AU - Marta, Silvio
AU - Azzoni, Roberto Sergio
AU - Fugazza, Davide
AU - Tielidze, Levan
AU - Chand, Pritam
AU - Sieron, Katrin
AU - Almond, Peter
AU - Ambrosini, Roberto
AU - Anthelme, Fabien
AU - Alviz Gazitúa, Pablo
AU - Bhambri, Rakesh
AU - Bonin, Aurélie
AU - Caccianiga, Marco
AU - Cauvy-Fraunié, Sophie
AU - Lievano, Jorge Luis Ceballos
AU - Clague, John
AU - Rapre, Justiniano Alejo Cochachín
AU - Dangles, Olivier
AU - Deline, Philip
AU - Eger, Andre
AU - Encarnación, Rolando Cruz
AU - Erokhin, Sergey
AU - Franzetti, Andrea
AU - Gielly, Ludovic
AU - Gili, Fabrizio
AU - Gobbi, Mauro
AU - Guerrieri, Alessia
AU - Hågvar, Sigmund
AU - Khedim, Norine
AU - Kinyanjui, Rahab
AU - Messager, Erwan
AU - Morales-Martínez, Marco Aurelio
AU - Peyre, Gwendolyn
AU - Pittino, Francesca
AU - Poulenard, Jerome
AU - Seppi, Roberto
AU - Sharma, Milap Chand
AU - Urseitova, Nurai
AU - Weissling, Blake
AU - Yang, Yan
AU - Zaginaev, Vitalii
AU - Zimmer, Anaïs
AU - Diolaiuti, Guglielmina Adele
AU - Rabatel, Antoine
AU - Ficetola, Gentile Francesco
N1 - Funding Information:
The present work is part of the European Community’s Horizon 2020 project IceCom-munities (Grant Agreement no. 772284). IceCommunities combines innovative methods and a global approach to boosting our understanding of the evolution of ecosystems in recently deglaciated areas. IceCommunities investigates chronosequences ranging from recently deglaciated terrains to late successional stages of soil pedogenesis. Through environmental DNA metabarcoding IceCommunities identifies taxa from multiple taxonomic groups (bacteria, fungi, protists, soil invertebrates, and plants), to obtain a complete reconstruction of biotic communities along glacier forelands over multiple mountain areas across the globe and to measure the rate of colonization at an unprecedented level of detail. Information on assemblages is then combined with analyses of soil, landscape, and climate to identify the drivers of community change. IceCommunities also assesses the impact of ecogeographical factors (climate and the regional pool of potential colonizers) on colonization. Analyses of functional traits are also used to reconstruct how functional diversity emerges during community formation, and how it scales to the functioning of food webs. IceCommunities will help to predict the future development of these increasingly important ecosystems, providing a supported rationale for the appropriate management of these areas.
Funding Information:
This study was supported by the European Research Council under the European Community?s Horizon 2020 Programme, Grant Agreement no. 772284 (IceCommunities) and supported by the National Natural Science Foundation of China (Grant No.41861134039, No.41941015). A. Rabatel, G.F. Ficetola, J. Poulenard, and L. Gielly acknowledge the support of Labex OSUG@2020 (Investissements d?avenir, ANR10 LABX56) and the French Service National d?Observation GLACIOCLIM (UGA, CNRS INSU, IRD, IPEV, and INRAE). P. Chand acknowledges the financial support of the Science and Engineering Research Board (SERB), New Delhi (India) vide SERB Project No. PDF/2017/002717 (NPDF Scheme).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/10/9
Y1 - 2021/10/9
N2 - Most of the world’s mountain glaciers have been retreating for more than a century in response to climate change. Glacier retreat is evident on all continents, and the rate of retreat has accelerated during recent decades. Accurate, spatially explicit information on the position of glacier margins over time is useful for analyzing patterns of glacier retreat and measuring reductions in glacier surface area. This information is also essential for evaluating how mountain ecosystems are evolving due to climate warming and the attendant glacier retreat. Here, we present a non-comprehensive spatially explicit dataset showing multiple positions of glacier fronts since the Little Ice Age (LIA) maxima, including many data from the pre-satellite era. The dataset is based on multiple historical archival records including topographical maps; repeated photographs, paintings, and aerial or satellite images with a supplement of geochronology; and own field data. We provide ESRI shapefiles showing 728 past positions of 94 glacier fronts from all continents, except Antarctica, covering the period between the Little Ice Age maxima and the present. On average, the time series span the past 190 years. From 2 to 46 past positions per glacier are depicted (on average: 7.8).
AB - Most of the world’s mountain glaciers have been retreating for more than a century in response to climate change. Glacier retreat is evident on all continents, and the rate of retreat has accelerated during recent decades. Accurate, spatially explicit information on the position of glacier margins over time is useful for analyzing patterns of glacier retreat and measuring reductions in glacier surface area. This information is also essential for evaluating how mountain ecosystems are evolving due to climate warming and the attendant glacier retreat. Here, we present a non-comprehensive spatially explicit dataset showing multiple positions of glacier fronts since the Little Ice Age (LIA) maxima, including many data from the pre-satellite era. The dataset is based on multiple historical archival records including topographical maps; repeated photographs, paintings, and aerial or satellite images with a supplement of geochronology; and own field data. We provide ESRI shapefiles showing 728 past positions of 94 glacier fronts from all continents, except Antarctica, covering the period between the Little Ice Age maxima and the present. On average, the time series span the past 190 years. From 2 to 46 past positions per glacier are depicted (on average: 7.8).
KW - Climate change
KW - Glacier retreat
KW - Global scale
KW - Little ice age
KW - Pre-satellite era
UR - https://www.scopus.com/pages/publications/85117315478
U2 - 10.3390/data6100107
DO - 10.3390/data6100107
M3 - Article
AN - SCOPUS:85117315478
SN - 2306-5729
VL - 6
JO - Data
JF - Data
IS - 10
M1 - 107
ER -