A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution
The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT...
Ausführliche Beschreibung
Autor*in: |
Wang, Jing [verfasserIn] |
---|
Format: |
Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2017 |
---|
Rechteinformationen: |
Nutzungsrecht: © 2017 Informa UK Limited, trading as Taylor & Francis Group 2017 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Physical geography - London [u.a.] : Taylor & Francis, 1980, 38(2017), 3, Seite 231-17 |
---|---|
Übergeordnetes Werk: |
volume:38 ; year:2017 ; number:3 ; pages:231-17 |
Links: |
---|
DOI / URN: |
10.1080/02723646.2017.1281013 |
---|
Katalog-ID: |
OLC1992729263 |
---|
LEADER | 01000caa a2200265 4500 | ||
---|---|---|---|
001 | OLC1992729263 | ||
003 | DE-627 | ||
005 | 20220215074643.0 | ||
007 | tu | ||
008 | 170512s2017 xx ||||| 00| ||eng c | ||
024 | 7 | |a 10.1080/02723646.2017.1281013 |2 doi | |
028 | 5 | 2 | |a PQ20170501 |
035 | |a (DE-627)OLC1992729263 | ||
035 | |a (DE-599)GBVOLC1992729263 | ||
035 | |a (PRQ)c1269-64b9af950e9b6ca016f7df86eb15d3b35731ce485becd8de3032fca0ce85b8b20 | ||
035 | |a (KEY)0103583520170000038000300231quantitativestudyonthemasselevationeffectoftherock | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 550 |q DNB |
084 | |a 74.00 |2 bkl | ||
084 | |a 38.00 |2 bkl | ||
100 | 1 | |a Wang, Jing |e verfasserin |4 aut | |
245 | 1 | 2 | |a A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution |
264 | 1 | |c 2017 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
338 | |a Band |b nc |2 rdacarrier | ||
520 | |a The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains. | ||
540 | |a Nutzungsrecht: © 2017 Informa UK Limited, trading as Taylor & Francis Group 2017 | ||
650 | 4 | |a mass elevation effect | |
650 | 4 | |a air temperature rise | |
650 | 4 | |a treeline | |
650 | 4 | |a Rocky Mountains | |
700 | 1 | |a Zhang, Baiping |4 oth | |
700 | 1 | |a He, Wenhui |4 oth | |
700 | 1 | |a Yao, Yonghui |4 oth | |
700 | 1 | |a Zhang, Wenjie |4 oth | |
700 | 1 | |a Zhao, Chao |4 oth | |
773 | 0 | 8 | |i Enthalten in |t Physical geography |d London [u.a.] : Taylor & Francis, 1980 |g 38(2017), 3, Seite 231-17 |w (DE-627)130506664 |w (DE-600)762499-2 |w (DE-576)016083776 |x 0272-3646 |7 nnns |
773 | 1 | 8 | |g volume:38 |g year:2017 |g number:3 |g pages:231-17 |
856 | 4 | 1 | |u http://dx.doi.org/10.1080/02723646.2017.1281013 |3 Volltext |
856 | 4 | 2 | |u http://www.tandfonline.com/doi/abs/10.1080/02723646.2017.1281013 |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_OLC | ||
912 | |a SSG-OLC-GEO | ||
912 | |a SSG-OPC-GGO | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_2003 | ||
912 | |a GBV_ILN_4082 | ||
912 | |a GBV_ILN_4126 | ||
936 | b | k | |a 74.00 |q AVZ |
936 | b | k | |a 38.00 |q AVZ |
951 | |a AR | ||
952 | |d 38 |j 2017 |e 3 |h 231-17 |
author_variant |
j w jw |
---|---|
matchkey_str |
article:02723646:2017----::qatttvsuynhmseeainfetfhrcyonanadtsgii |
hierarchy_sort_str |
2017 |
bklnumber |
74.00 38.00 |
publishDate |
2017 |
allfields |
10.1080/02723646.2017.1281013 doi PQ20170501 (DE-627)OLC1992729263 (DE-599)GBVOLC1992729263 (PRQ)c1269-64b9af950e9b6ca016f7df86eb15d3b35731ce485becd8de3032fca0ce85b8b20 (KEY)0103583520170000038000300231quantitativestudyonthemasselevationeffectoftherock DE-627 ger DE-627 rakwb eng 550 DNB 74.00 bkl 38.00 bkl Wang, Jing verfasserin aut A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains. Nutzungsrecht: © 2017 Informa UK Limited, trading as Taylor & Francis Group 2017 mass elevation effect air temperature rise treeline Rocky Mountains Zhang, Baiping oth He, Wenhui oth Yao, Yonghui oth Zhang, Wenjie oth Zhao, Chao oth Enthalten in Physical geography London [u.a.] : Taylor & Francis, 1980 38(2017), 3, Seite 231-17 (DE-627)130506664 (DE-600)762499-2 (DE-576)016083776 0272-3646 nnns volume:38 year:2017 number:3 pages:231-17 http://dx.doi.org/10.1080/02723646.2017.1281013 Volltext http://www.tandfonline.com/doi/abs/10.1080/02723646.2017.1281013 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_24 GBV_ILN_2003 GBV_ILN_4082 GBV_ILN_4126 74.00 AVZ 38.00 AVZ AR 38 2017 3 231-17 |
spelling |
10.1080/02723646.2017.1281013 doi PQ20170501 (DE-627)OLC1992729263 (DE-599)GBVOLC1992729263 (PRQ)c1269-64b9af950e9b6ca016f7df86eb15d3b35731ce485becd8de3032fca0ce85b8b20 (KEY)0103583520170000038000300231quantitativestudyonthemasselevationeffectoftherock DE-627 ger DE-627 rakwb eng 550 DNB 74.00 bkl 38.00 bkl Wang, Jing verfasserin aut A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains. Nutzungsrecht: © 2017 Informa UK Limited, trading as Taylor & Francis Group 2017 mass elevation effect air temperature rise treeline Rocky Mountains Zhang, Baiping oth He, Wenhui oth Yao, Yonghui oth Zhang, Wenjie oth Zhao, Chao oth Enthalten in Physical geography London [u.a.] : Taylor & Francis, 1980 38(2017), 3, Seite 231-17 (DE-627)130506664 (DE-600)762499-2 (DE-576)016083776 0272-3646 nnns volume:38 year:2017 number:3 pages:231-17 http://dx.doi.org/10.1080/02723646.2017.1281013 Volltext http://www.tandfonline.com/doi/abs/10.1080/02723646.2017.1281013 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_24 GBV_ILN_2003 GBV_ILN_4082 GBV_ILN_4126 74.00 AVZ 38.00 AVZ AR 38 2017 3 231-17 |
allfields_unstemmed |
10.1080/02723646.2017.1281013 doi PQ20170501 (DE-627)OLC1992729263 (DE-599)GBVOLC1992729263 (PRQ)c1269-64b9af950e9b6ca016f7df86eb15d3b35731ce485becd8de3032fca0ce85b8b20 (KEY)0103583520170000038000300231quantitativestudyonthemasselevationeffectoftherock DE-627 ger DE-627 rakwb eng 550 DNB 74.00 bkl 38.00 bkl Wang, Jing verfasserin aut A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains. Nutzungsrecht: © 2017 Informa UK Limited, trading as Taylor & Francis Group 2017 mass elevation effect air temperature rise treeline Rocky Mountains Zhang, Baiping oth He, Wenhui oth Yao, Yonghui oth Zhang, Wenjie oth Zhao, Chao oth Enthalten in Physical geography London [u.a.] : Taylor & Francis, 1980 38(2017), 3, Seite 231-17 (DE-627)130506664 (DE-600)762499-2 (DE-576)016083776 0272-3646 nnns volume:38 year:2017 number:3 pages:231-17 http://dx.doi.org/10.1080/02723646.2017.1281013 Volltext http://www.tandfonline.com/doi/abs/10.1080/02723646.2017.1281013 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_24 GBV_ILN_2003 GBV_ILN_4082 GBV_ILN_4126 74.00 AVZ 38.00 AVZ AR 38 2017 3 231-17 |
allfieldsGer |
10.1080/02723646.2017.1281013 doi PQ20170501 (DE-627)OLC1992729263 (DE-599)GBVOLC1992729263 (PRQ)c1269-64b9af950e9b6ca016f7df86eb15d3b35731ce485becd8de3032fca0ce85b8b20 (KEY)0103583520170000038000300231quantitativestudyonthemasselevationeffectoftherock DE-627 ger DE-627 rakwb eng 550 DNB 74.00 bkl 38.00 bkl Wang, Jing verfasserin aut A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains. Nutzungsrecht: © 2017 Informa UK Limited, trading as Taylor & Francis Group 2017 mass elevation effect air temperature rise treeline Rocky Mountains Zhang, Baiping oth He, Wenhui oth Yao, Yonghui oth Zhang, Wenjie oth Zhao, Chao oth Enthalten in Physical geography London [u.a.] : Taylor & Francis, 1980 38(2017), 3, Seite 231-17 (DE-627)130506664 (DE-600)762499-2 (DE-576)016083776 0272-3646 nnns volume:38 year:2017 number:3 pages:231-17 http://dx.doi.org/10.1080/02723646.2017.1281013 Volltext http://www.tandfonline.com/doi/abs/10.1080/02723646.2017.1281013 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_24 GBV_ILN_2003 GBV_ILN_4082 GBV_ILN_4126 74.00 AVZ 38.00 AVZ AR 38 2017 3 231-17 |
allfieldsSound |
10.1080/02723646.2017.1281013 doi PQ20170501 (DE-627)OLC1992729263 (DE-599)GBVOLC1992729263 (PRQ)c1269-64b9af950e9b6ca016f7df86eb15d3b35731ce485becd8de3032fca0ce85b8b20 (KEY)0103583520170000038000300231quantitativestudyonthemasselevationeffectoftherock DE-627 ger DE-627 rakwb eng 550 DNB 74.00 bkl 38.00 bkl Wang, Jing verfasserin aut A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains. Nutzungsrecht: © 2017 Informa UK Limited, trading as Taylor & Francis Group 2017 mass elevation effect air temperature rise treeline Rocky Mountains Zhang, Baiping oth He, Wenhui oth Yao, Yonghui oth Zhang, Wenjie oth Zhao, Chao oth Enthalten in Physical geography London [u.a.] : Taylor & Francis, 1980 38(2017), 3, Seite 231-17 (DE-627)130506664 (DE-600)762499-2 (DE-576)016083776 0272-3646 nnns volume:38 year:2017 number:3 pages:231-17 http://dx.doi.org/10.1080/02723646.2017.1281013 Volltext http://www.tandfonline.com/doi/abs/10.1080/02723646.2017.1281013 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_24 GBV_ILN_2003 GBV_ILN_4082 GBV_ILN_4126 74.00 AVZ 38.00 AVZ AR 38 2017 3 231-17 |
language |
English |
source |
Enthalten in Physical geography 38(2017), 3, Seite 231-17 volume:38 year:2017 number:3 pages:231-17 |
sourceStr |
Enthalten in Physical geography 38(2017), 3, Seite 231-17 volume:38 year:2017 number:3 pages:231-17 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
mass elevation effect air temperature rise treeline Rocky Mountains |
dewey-raw |
550 |
isfreeaccess_bool |
false |
container_title |
Physical geography |
authorswithroles_txt_mv |
Wang, Jing @@aut@@ Zhang, Baiping @@oth@@ He, Wenhui @@oth@@ Yao, Yonghui @@oth@@ Zhang, Wenjie @@oth@@ Zhao, Chao @@oth@@ |
publishDateDaySort_date |
2017-01-01T00:00:00Z |
hierarchy_top_id |
130506664 |
dewey-sort |
3550 |
id |
OLC1992729263 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1992729263</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220215074643.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">170512s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1080/02723646.2017.1281013</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20170501</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1992729263</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1992729263</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1269-64b9af950e9b6ca016f7df86eb15d3b35731ce485becd8de3032fca0ce85b8b20</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0103583520170000038000300231quantitativestudyonthemasselevationeffectoftherock</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">74.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Jing</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2017 Informa UK Limited, trading as Taylor & Francis Group 2017</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">mass elevation effect</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">air temperature rise</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">treeline</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Rocky Mountains</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Baiping</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">He, Wenhui</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yao, Yonghui</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Wenjie</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhao, Chao</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Physical geography</subfield><subfield code="d">London [u.a.] : Taylor & Francis, 1980</subfield><subfield code="g">38(2017), 3, Seite 231-17</subfield><subfield code="w">(DE-627)130506664</subfield><subfield code="w">(DE-600)762499-2</subfield><subfield code="w">(DE-576)016083776</subfield><subfield code="x">0272-3646</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:38</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:3</subfield><subfield code="g">pages:231-17</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1080/02723646.2017.1281013</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.tandfonline.com/doi/abs/10.1080/02723646.2017.1281013</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4082</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">74.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">38.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">38</subfield><subfield code="j">2017</subfield><subfield code="e">3</subfield><subfield code="h">231-17</subfield></datafield></record></collection>
|
author |
Wang, Jing |
spellingShingle |
Wang, Jing ddc 550 bkl 74.00 bkl 38.00 misc mass elevation effect misc air temperature rise misc treeline misc Rocky Mountains A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution |
authorStr |
Wang, Jing |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)130506664 |
format |
Article |
dewey-ones |
550 - Earth sciences |
delete_txt_mv |
keep |
author_role |
aut |
collection |
OLC |
remote_str |
false |
illustrated |
Not Illustrated |
issn |
0272-3646 |
topic_title |
550 DNB 74.00 bkl 38.00 bkl A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution mass elevation effect air temperature rise treeline Rocky Mountains |
topic |
ddc 550 bkl 74.00 bkl 38.00 misc mass elevation effect misc air temperature rise misc treeline misc Rocky Mountains |
topic_unstemmed |
ddc 550 bkl 74.00 bkl 38.00 misc mass elevation effect misc air temperature rise misc treeline misc Rocky Mountains |
topic_browse |
ddc 550 bkl 74.00 bkl 38.00 misc mass elevation effect misc air temperature rise misc treeline misc Rocky Mountains |
format_facet |
Aufsätze Gedruckte Aufsätze |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
nc |
author2_variant |
b z bz w h wh y y yy w z wz c z cz |
hierarchy_parent_title |
Physical geography |
hierarchy_parent_id |
130506664 |
dewey-tens |
550 - Earth sciences & geology |
hierarchy_top_title |
Physical geography |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)130506664 (DE-600)762499-2 (DE-576)016083776 |
title |
A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution |
ctrlnum |
(DE-627)OLC1992729263 (DE-599)GBVOLC1992729263 (PRQ)c1269-64b9af950e9b6ca016f7df86eb15d3b35731ce485becd8de3032fca0ce85b8b20 (KEY)0103583520170000038000300231quantitativestudyonthemasselevationeffectoftherock |
title_full |
A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution |
author_sort |
Wang, Jing |
journal |
Physical geography |
journalStr |
Physical geography |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
500 - Science |
recordtype |
marc |
publishDateSort |
2017 |
contenttype_str_mv |
txt |
container_start_page |
231 |
author_browse |
Wang, Jing |
container_volume |
38 |
class |
550 DNB 74.00 bkl 38.00 bkl |
format_se |
Aufsätze |
author-letter |
Wang, Jing |
doi_str_mv |
10.1080/02723646.2017.1281013 |
dewey-full |
550 |
title_sort |
quantitative study on the mass elevation effect of the rocky mountains and its significance for treeline distribution |
title_auth |
A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution |
abstract |
The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains. |
abstractGer |
The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains. |
abstract_unstemmed |
The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_24 GBV_ILN_2003 GBV_ILN_4082 GBV_ILN_4126 |
container_issue |
3 |
title_short |
A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution |
url |
http://dx.doi.org/10.1080/02723646.2017.1281013 http://www.tandfonline.com/doi/abs/10.1080/02723646.2017.1281013 |
remote_bool |
false |
author2 |
Zhang, Baiping He, Wenhui Yao, Yonghui Zhang, Wenjie Zhao, Chao |
author2Str |
Zhang, Baiping He, Wenhui Yao, Yonghui Zhang, Wenjie Zhao, Chao |
ppnlink |
130506664 |
mediatype_str_mv |
n |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth oth oth |
doi_str |
10.1080/02723646.2017.1281013 |
up_date |
2024-07-04T05:33:00.251Z |
_version_ |
1803625357891338240 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1992729263</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220215074643.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">170512s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1080/02723646.2017.1281013</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20170501</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1992729263</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1992729263</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1269-64b9af950e9b6ca016f7df86eb15d3b35731ce485becd8de3032fca0ce85b8b20</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0103583520170000038000300231quantitativestudyonthemasselevationeffectoftherock</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">74.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Jing</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A quantitative study on the mass elevation effect of the Rocky Mountains and its significance for treeline distribution</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The Rocky Mountains are the highest and most extensive in North America. Their mass-elevation effect (MEE) should be strong and responsible for the high elevations of treelines in the interior of the mountain range. However, the MEE has been little known. We calculated the temperature difference (ΔT) between the inner and outer Rocky Mountains at the same elevation and defined it as the magnitude of MEE. Results show a mean ΔT of 1.8°C, with the highest ΔT occurring in Colorado and the basins of southern Wyoming. The MEE can be modelled with three factors: mountain base elevation (MBE), latitude, and hygric continentality. The model has a high explanatory power of 68.90%, and the three factors contribute 45.65, 36.05, and 18.03%, respectively. MBE contributed most to MEE, both in the whole range (45.65%) and in the Colorado Rocky Mountains (55.21%). Treeline is higher in the interior than the outside of the mountain range, by 700-1400 m. This difference coincides well with air temperature differences. This study developed a quantitative model for the MEE of the Rocky Mountains and improves our understanding of the intra-mountain ecology and high treelines of the Rocky Mountains.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2017 Informa UK Limited, trading as Taylor & Francis Group 2017</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">mass elevation effect</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">air temperature rise</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">treeline</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Rocky Mountains</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Baiping</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">He, Wenhui</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yao, Yonghui</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Wenjie</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhao, Chao</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Physical geography</subfield><subfield code="d">London [u.a.] : Taylor & Francis, 1980</subfield><subfield code="g">38(2017), 3, Seite 231-17</subfield><subfield code="w">(DE-627)130506664</subfield><subfield code="w">(DE-600)762499-2</subfield><subfield code="w">(DE-576)016083776</subfield><subfield code="x">0272-3646</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:38</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:3</subfield><subfield code="g">pages:231-17</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1080/02723646.2017.1281013</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.tandfonline.com/doi/abs/10.1080/02723646.2017.1281013</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4082</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">74.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">38.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">38</subfield><subfield code="j">2017</subfield><subfield code="e">3</subfield><subfield code="h">231-17</subfield></datafield></record></collection>
|
score |
7.4009905 |