A regional view of fluctuations in glacier length in southern South America
Fluctuations in the length of 72 glaciers in the Northern and Southern Patagonia Icefield (NPI and SPI, respectively) and the Cordillera Darwin Icefield (CDI) were estimated between 1945 and 2005. The information obtained from historical maps based on 1945 aerial photographs was compared to ASTER an...
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| description | Fluctuations in the length of 72 glaciers in the Northern and Southern Patagonia Icefield (NPI and SPI, respectively) and the Cordillera Darwin Icefield (CDI) were estimated between 1945 and 2005. The information obtained from historical maps based on 1945 aerial photographs was compared to ASTER and Landsat satellite images and to information found in the literature. The majority of glaciers have retreated considerably, with maximum values of 12.2
km for Marinelli Glacier in the CDI, 11.6
km for O'Higgins Glacier in the SPI and 5.7
km for San Rafael Glacier in the NPI.
Among the 20 glaciers that have retreated the most relative to their size, small (less than 50
km²) and medium (between 50 and 200
km²) glaciers are the most affected. However, no direct relation between glacier retreat and size was found for the 72 glaciers studied. The highest percentage retreat in the CDI was by the CDI-03 Glacier (37.9%) and Marinelli Glacier (37.6%). In the SPI, relative retreats were heterogeneous and fluctuated between 27.2% (Amelia Glacier) and 0.4% (Viedma Glacier). In the NPI, relative retreat was very high for Strindberg and Cachet glaciers (35.9% and 27.6%, respectively) but for the remaining glaciers in this icefield it ranged between 11.8% (Piscis Glacier) and 3.6% (San Quintín Glacier). In addition to surface area, the surface slope (calculated on the basis of the DEM SRTM) was also related to the relative retreat and no straightforward relation was found.
From a global point of view, we suggest that glacier retreat in the region is controlled firstly by atmospheric warming, as it has been reported in this area. Besides the general increase in temperature observed, no signal of a geographical pattern for the fluctuations in glacier length was found. Consequently, glaciers appear to initially react to local conditions most probably induced by their exposition, geometry and hypsometry. The heterogeneity of rates of retreat suggests that differences in basin geometry, glacier dynamics and response time are key features to explain fluctuations of each glacier. |
| doi_str_mv | 10.1016/j.gloplacha.2009.12.009 |
| format | Article |
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km for Marinelli Glacier in the CDI, 11.6
km for O'Higgins Glacier in the SPI and 5.7
km for San Rafael Glacier in the NPI.
Among the 20 glaciers that have retreated the most relative to their size, small (less than 50
km²) and medium (between 50 and 200
km²) glaciers are the most affected. However, no direct relation between glacier retreat and size was found for the 72 glaciers studied. The highest percentage retreat in the CDI was by the CDI-03 Glacier (37.9%) and Marinelli Glacier (37.6%). In the SPI, relative retreats were heterogeneous and fluctuated between 27.2% (Amelia Glacier) and 0.4% (Viedma Glacier). In the NPI, relative retreat was very high for Strindberg and Cachet glaciers (35.9% and 27.6%, respectively) but for the remaining glaciers in this icefield it ranged between 11.8% (Piscis Glacier) and 3.6% (San Quintín Glacier). In addition to surface area, the surface slope (calculated on the basis of the DEM SRTM) was also related to the relative retreat and no straightforward relation was found.
From a global point of view, we suggest that glacier retreat in the region is controlled firstly by atmospheric warming, as it has been reported in this area. Besides the general increase in temperature observed, no signal of a geographical pattern for the fluctuations in glacier length was found. Consequently, glaciers appear to initially react to local conditions most probably induced by their exposition, geometry and hypsometry. The heterogeneity of rates of retreat suggests that differences in basin geometry, glacier dynamics and response time are key features to explain fluctuations of each glacier.</description><identifier>ISSN: 0921-8181</identifier><identifier>EISSN: 1872-6364</identifier><identifier>DOI: 10.1016/j.gloplacha.2009.12.009</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Atmospherics ; climate change ; Climatology ; Continental interfaces, environment ; Earth Sciences ; Environment and Society ; Environmental Engineering ; Environmental Sciences ; Fluctuation ; Glaciers ; Glaciology ; Global Changes ; Heterogeneity ; Hydrology ; Hypsometry ; Mathematical analysis ; Patagonia ; remote sensing ; Sciences of the Universe ; Tierra del Fuego</subject><ispartof>Global and planetary change, 2010-03, Vol.71 (1), p.85-108</ispartof><rights>2010 Elsevier B.V.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a557t-f461b49bb7a7fb82686343e27bd4c46b934be732e06f7ba41fa584756410536d3</citedby><cites>FETCH-LOGICAL-a557t-f461b49bb7a7fb82686343e27bd4c46b934be732e06f7ba41fa584756410536d3</cites><orcidid>0000-0001-6024-9498</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.gloplacha.2009.12.009$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://hal.science/hal-01922191$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Lopez, Paulina</creatorcontrib><creatorcontrib>Chevallier, Pierre</creatorcontrib><creatorcontrib>Favier, Vincent</creatorcontrib><creatorcontrib>Pouyaud, Bernard</creatorcontrib><creatorcontrib>Ordenes, Fernando</creatorcontrib><creatorcontrib>Oerlemans, Johannes</creatorcontrib><title>A regional view of fluctuations in glacier length in southern South America</title><title>Global and planetary change</title><description>Fluctuations in the length of 72 glaciers in the Northern and Southern Patagonia Icefield (NPI and SPI, respectively) and the Cordillera Darwin Icefield (CDI) were estimated between 1945 and 2005. The information obtained from historical maps based on 1945 aerial photographs was compared to ASTER and Landsat satellite images and to information found in the literature. The majority of glaciers have retreated considerably, with maximum values of 12.2
km for Marinelli Glacier in the CDI, 11.6
km for O'Higgins Glacier in the SPI and 5.7
km for San Rafael Glacier in the NPI.
Among the 20 glaciers that have retreated the most relative to their size, small (less than 50
km²) and medium (between 50 and 200
km²) glaciers are the most affected. However, no direct relation between glacier retreat and size was found for the 72 glaciers studied. The highest percentage retreat in the CDI was by the CDI-03 Glacier (37.9%) and Marinelli Glacier (37.6%). In the SPI, relative retreats were heterogeneous and fluctuated between 27.2% (Amelia Glacier) and 0.4% (Viedma Glacier). In the NPI, relative retreat was very high for Strindberg and Cachet glaciers (35.9% and 27.6%, respectively) but for the remaining glaciers in this icefield it ranged between 11.8% (Piscis Glacier) and 3.6% (San Quintín Glacier). In addition to surface area, the surface slope (calculated on the basis of the DEM SRTM) was also related to the relative retreat and no straightforward relation was found.
From a global point of view, we suggest that glacier retreat in the region is controlled firstly by atmospheric warming, as it has been reported in this area. Besides the general increase in temperature observed, no signal of a geographical pattern for the fluctuations in glacier length was found. Consequently, glaciers appear to initially react to local conditions most probably induced by their exposition, geometry and hypsometry. The heterogeneity of rates of retreat suggests that differences in basin geometry, glacier dynamics and response time are key features to explain fluctuations of each glacier.</description><subject>Atmospherics</subject><subject>climate change</subject><subject>Climatology</subject><subject>Continental interfaces, environment</subject><subject>Earth Sciences</subject><subject>Environment and Society</subject><subject>Environmental Engineering</subject><subject>Environmental Sciences</subject><subject>Fluctuation</subject><subject>Glaciers</subject><subject>Glaciology</subject><subject>Global Changes</subject><subject>Heterogeneity</subject><subject>Hydrology</subject><subject>Hypsometry</subject><subject>Mathematical analysis</subject><subject>Patagonia</subject><subject>remote sensing</subject><subject>Sciences of the Universe</subject><subject>Tierra del Fuego</subject><issn>0921-8181</issn><issn>1872-6364</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkU9v1DAUxC0EEkvpZ8A34JDUz3H85xhVQBEr9VB6tpzsy65X3nixk1Z8exwt6hFOY41-b2TNEPIBWA0M5M2x3od4Dm44uJozZmrgdZFXZANa8Uo2UrwmG2Y4VBo0vCXvcj4yBopxviE_Oppw7-PkAn3y-EzjSMewDPPi5uJm6ie6L-EeEw047efD6uS4zAdME31YH7Q7YfKDe0_ejC5kvP6rV-Tx65eft3fV9v7b99tuW7m2VXM1Cgm9MH2vnBp7zaWWjWiQq34nBiF704geVcORyVH1TsDoWi1UKwWwtpG75op8vuQeXLDn5E8u_bbReXvXbe3qMTCcg4EnKOzHC3tO8deCebYnnwcMwU0Yl2yVaA3XRptCfvonCUpyAKbFiqoLOqSYc8Lx5RfA7DqKPdqXUew6igVui5TL7nKJpZ_Sd7K5VDsNuPMJh9nuov9vxh9Hx5fW</recordid><startdate>20100301</startdate><enddate>20100301</enddate><creator>Lopez, Paulina</creator><creator>Chevallier, Pierre</creator><creator>Favier, Vincent</creator><creator>Pouyaud, Bernard</creator><creator>Ordenes, Fernando</creator><creator>Oerlemans, Johannes</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TV</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-6024-9498</orcidid></search><sort><creationdate>20100301</creationdate><title>A regional view of fluctuations in glacier length in southern South America</title><author>Lopez, Paulina ; Chevallier, Pierre ; Favier, Vincent ; Pouyaud, Bernard ; Ordenes, Fernando ; Oerlemans, Johannes</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a557t-f461b49bb7a7fb82686343e27bd4c46b934be732e06f7ba41fa584756410536d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Atmospherics</topic><topic>climate change</topic><topic>Climatology</topic><topic>Continental interfaces, environment</topic><topic>Earth Sciences</topic><topic>Environment and Society</topic><topic>Environmental Engineering</topic><topic>Environmental Sciences</topic><topic>Fluctuation</topic><topic>Glaciers</topic><topic>Glaciology</topic><topic>Global Changes</topic><topic>Heterogeneity</topic><topic>Hydrology</topic><topic>Hypsometry</topic><topic>Mathematical analysis</topic><topic>Patagonia</topic><topic>remote sensing</topic><topic>Sciences of the Universe</topic><topic>Tierra del Fuego</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lopez, Paulina</creatorcontrib><creatorcontrib>Chevallier, Pierre</creatorcontrib><creatorcontrib>Favier, Vincent</creatorcontrib><creatorcontrib>Pouyaud, Bernard</creatorcontrib><creatorcontrib>Ordenes, Fernando</creatorcontrib><creatorcontrib>Oerlemans, Johannes</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Global and planetary change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lopez, Paulina</au><au>Chevallier, Pierre</au><au>Favier, Vincent</au><au>Pouyaud, Bernard</au><au>Ordenes, Fernando</au><au>Oerlemans, Johannes</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A regional view of fluctuations in glacier length in southern South America</atitle><jtitle>Global and planetary change</jtitle><date>2010-03-01</date><risdate>2010</risdate><volume>71</volume><issue>1</issue><spage>85</spage><epage>108</epage><pages>85-108</pages><issn>0921-8181</issn><eissn>1872-6364</eissn><abstract>Fluctuations in the length of 72 glaciers in the Northern and Southern Patagonia Icefield (NPI and SPI, respectively) and the Cordillera Darwin Icefield (CDI) were estimated between 1945 and 2005. The information obtained from historical maps based on 1945 aerial photographs was compared to ASTER and Landsat satellite images and to information found in the literature. The majority of glaciers have retreated considerably, with maximum values of 12.2
km for Marinelli Glacier in the CDI, 11.6
km for O'Higgins Glacier in the SPI and 5.7
km for San Rafael Glacier in the NPI.
Among the 20 glaciers that have retreated the most relative to their size, small (less than 50
km²) and medium (between 50 and 200
km²) glaciers are the most affected. However, no direct relation between glacier retreat and size was found for the 72 glaciers studied. The highest percentage retreat in the CDI was by the CDI-03 Glacier (37.9%) and Marinelli Glacier (37.6%). In the SPI, relative retreats were heterogeneous and fluctuated between 27.2% (Amelia Glacier) and 0.4% (Viedma Glacier). In the NPI, relative retreat was very high for Strindberg and Cachet glaciers (35.9% and 27.6%, respectively) but for the remaining glaciers in this icefield it ranged between 11.8% (Piscis Glacier) and 3.6% (San Quintín Glacier). In addition to surface area, the surface slope (calculated on the basis of the DEM SRTM) was also related to the relative retreat and no straightforward relation was found.
From a global point of view, we suggest that glacier retreat in the region is controlled firstly by atmospheric warming, as it has been reported in this area. Besides the general increase in temperature observed, no signal of a geographical pattern for the fluctuations in glacier length was found. Consequently, glaciers appear to initially react to local conditions most probably induced by their exposition, geometry and hypsometry. The heterogeneity of rates of retreat suggests that differences in basin geometry, glacier dynamics and response time are key features to explain fluctuations of each glacier.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.gloplacha.2009.12.009</doi><tpages>24</tpages><orcidid>https://orcid.org/0000-0001-6024-9498</orcidid></addata></record> |
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| subjects | Atmospherics climate change Climatology Continental interfaces, environment Earth Sciences Environment and Society Environmental Engineering Environmental Sciences Fluctuation Glaciers Glaciology Global Changes Heterogeneity Hydrology Hypsometry Mathematical analysis Patagonia remote sensing Sciences of the Universe Tierra del Fuego |
| title | A regional view of fluctuations in glacier length in southern South America |
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