Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management
Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones th...
Ausführliche Beschreibung
Autor*in: |
Tercek, Michael T. [verfasserIn] |
---|
Format: |
Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2012 |
---|
Schlagwörter: |
---|
Anmerkung: |
© Springer Science+Business Media, LLC 2012 |
---|
Übergeordnetes Werk: |
Enthalten in: Environmental management - Springer-Verlag, 1976, 49(2012), 5 vom: 15. März, Seite 1076-1091 |
---|---|
Übergeordnetes Werk: |
volume:49 ; year:2012 ; number:5 ; day:15 ; month:03 ; pages:1076-1091 |
Links: |
---|
DOI / URN: |
10.1007/s00267-012-9827-4 |
---|
Katalog-ID: |
OLC2060637260 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | OLC2060637260 | ||
003 | DE-627 | ||
005 | 20230324175914.0 | ||
007 | tu | ||
008 | 200819s2012 xx ||||| 00| ||eng c | ||
024 | 7 | |a 10.1007/s00267-012-9827-4 |2 doi | |
035 | |a (DE-627)OLC2060637260 | ||
035 | |a (DE-He213)s00267-012-9827-4-p | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 370 |a 350 |a 330 |q VZ |
082 | 0 | 4 | |a 570 |a 690 |a 333.7 |q VZ |
084 | |a 12 |2 ssgn | ||
100 | 1 | |a Tercek, Michael T. |e verfasserin |4 aut | |
245 | 1 | 0 | |a Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management |
264 | 1 | |c 2012 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
338 | |a Band |b nc |2 rdacarrier | ||
500 | |a © Springer Science+Business Media, LLC 2012 | ||
520 | |a Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. | ||
650 | 4 | |a Climate zonation | |
650 | 4 | |a National Park Service | |
650 | 4 | |a Yellowstone National Park | |
650 | 4 | |a Grand Teton National Park | |
650 | 4 | |a Climate monitoring | |
650 | 4 | |a Ecological impacts of climate | |
700 | 1 | |a Gray, Stephen T. |4 aut | |
700 | 1 | |a Nicholson, Christopher M. |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Environmental management |d Springer-Verlag, 1976 |g 49(2012), 5 vom: 15. März, Seite 1076-1091 |w (DE-627)129322970 |w (DE-600)131372-1 |w (DE-576)014557207 |x 0364-152X |7 nnns |
773 | 1 | 8 | |g volume:49 |g year:2012 |g number:5 |g day:15 |g month:03 |g pages:1076-1091 |
856 | 4 | 1 | |u https://doi.org/10.1007/s00267-012-9827-4 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_OLC | ||
912 | |a SSG-OLC-UMW | ||
912 | |a SSG-OLC-ARC | ||
912 | |a SSG-OLC-TEC | ||
912 | |a SSG-OLC-FOR | ||
912 | |a SSG-OPC-GGO | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_2018 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4046 | ||
912 | |a GBV_ILN_4313 | ||
951 | |a AR | ||
952 | |d 49 |j 2012 |e 5 |b 15 |c 03 |h 1076-1091 |
author_variant |
m t t mt mtt s t g st stg c m n cm cmn |
---|---|
matchkey_str |
article:0364152X:2012----::lmtzndlnainvlaigprahsouenau |
hierarchy_sort_str |
2012 |
publishDate |
2012 |
allfields |
10.1007/s00267-012-9827-4 doi (DE-627)OLC2060637260 (DE-He213)s00267-012-9827-4-p DE-627 ger DE-627 rakwb eng 370 350 330 VZ 570 690 333.7 VZ 12 ssgn Tercek, Michael T. verfasserin aut Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2012 Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. Climate zonation National Park Service Yellowstone National Park Grand Teton National Park Climate monitoring Ecological impacts of climate Gray, Stephen T. aut Nicholson, Christopher M. aut Enthalten in Environmental management Springer-Verlag, 1976 49(2012), 5 vom: 15. März, Seite 1076-1091 (DE-627)129322970 (DE-600)131372-1 (DE-576)014557207 0364-152X nnns volume:49 year:2012 number:5 day:15 month:03 pages:1076-1091 https://doi.org/10.1007/s00267-012-9827-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4313 AR 49 2012 5 15 03 1076-1091 |
spelling |
10.1007/s00267-012-9827-4 doi (DE-627)OLC2060637260 (DE-He213)s00267-012-9827-4-p DE-627 ger DE-627 rakwb eng 370 350 330 VZ 570 690 333.7 VZ 12 ssgn Tercek, Michael T. verfasserin aut Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2012 Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. Climate zonation National Park Service Yellowstone National Park Grand Teton National Park Climate monitoring Ecological impacts of climate Gray, Stephen T. aut Nicholson, Christopher M. aut Enthalten in Environmental management Springer-Verlag, 1976 49(2012), 5 vom: 15. März, Seite 1076-1091 (DE-627)129322970 (DE-600)131372-1 (DE-576)014557207 0364-152X nnns volume:49 year:2012 number:5 day:15 month:03 pages:1076-1091 https://doi.org/10.1007/s00267-012-9827-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4313 AR 49 2012 5 15 03 1076-1091 |
allfields_unstemmed |
10.1007/s00267-012-9827-4 doi (DE-627)OLC2060637260 (DE-He213)s00267-012-9827-4-p DE-627 ger DE-627 rakwb eng 370 350 330 VZ 570 690 333.7 VZ 12 ssgn Tercek, Michael T. verfasserin aut Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2012 Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. Climate zonation National Park Service Yellowstone National Park Grand Teton National Park Climate monitoring Ecological impacts of climate Gray, Stephen T. aut Nicholson, Christopher M. aut Enthalten in Environmental management Springer-Verlag, 1976 49(2012), 5 vom: 15. März, Seite 1076-1091 (DE-627)129322970 (DE-600)131372-1 (DE-576)014557207 0364-152X nnns volume:49 year:2012 number:5 day:15 month:03 pages:1076-1091 https://doi.org/10.1007/s00267-012-9827-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4313 AR 49 2012 5 15 03 1076-1091 |
allfieldsGer |
10.1007/s00267-012-9827-4 doi (DE-627)OLC2060637260 (DE-He213)s00267-012-9827-4-p DE-627 ger DE-627 rakwb eng 370 350 330 VZ 570 690 333.7 VZ 12 ssgn Tercek, Michael T. verfasserin aut Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2012 Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. Climate zonation National Park Service Yellowstone National Park Grand Teton National Park Climate monitoring Ecological impacts of climate Gray, Stephen T. aut Nicholson, Christopher M. aut Enthalten in Environmental management Springer-Verlag, 1976 49(2012), 5 vom: 15. März, Seite 1076-1091 (DE-627)129322970 (DE-600)131372-1 (DE-576)014557207 0364-152X nnns volume:49 year:2012 number:5 day:15 month:03 pages:1076-1091 https://doi.org/10.1007/s00267-012-9827-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4313 AR 49 2012 5 15 03 1076-1091 |
allfieldsSound |
10.1007/s00267-012-9827-4 doi (DE-627)OLC2060637260 (DE-He213)s00267-012-9827-4-p DE-627 ger DE-627 rakwb eng 370 350 330 VZ 570 690 333.7 VZ 12 ssgn Tercek, Michael T. verfasserin aut Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2012 Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. Climate zonation National Park Service Yellowstone National Park Grand Teton National Park Climate monitoring Ecological impacts of climate Gray, Stephen T. aut Nicholson, Christopher M. aut Enthalten in Environmental management Springer-Verlag, 1976 49(2012), 5 vom: 15. März, Seite 1076-1091 (DE-627)129322970 (DE-600)131372-1 (DE-576)014557207 0364-152X nnns volume:49 year:2012 number:5 day:15 month:03 pages:1076-1091 https://doi.org/10.1007/s00267-012-9827-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4313 AR 49 2012 5 15 03 1076-1091 |
language |
English |
source |
Enthalten in Environmental management 49(2012), 5 vom: 15. März, Seite 1076-1091 volume:49 year:2012 number:5 day:15 month:03 pages:1076-1091 |
sourceStr |
Enthalten in Environmental management 49(2012), 5 vom: 15. März, Seite 1076-1091 volume:49 year:2012 number:5 day:15 month:03 pages:1076-1091 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Climate zonation National Park Service Yellowstone National Park Grand Teton National Park Climate monitoring Ecological impacts of climate |
dewey-raw |
370 |
isfreeaccess_bool |
false |
container_title |
Environmental management |
authorswithroles_txt_mv |
Tercek, Michael T. @@aut@@ Gray, Stephen T. @@aut@@ Nicholson, Christopher M. @@aut@@ |
publishDateDaySort_date |
2012-03-15T00:00:00Z |
hierarchy_top_id |
129322970 |
dewey-sort |
3370 |
id |
OLC2060637260 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2060637260</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230324175914.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2012 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00267-012-9827-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2060637260</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00267-012-9827-4-p</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">370</subfield><subfield code="a">350</subfield><subfield code="a">330</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">690</subfield><subfield code="a">333.7</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">12</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tercek, Michael T.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</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="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC 2012</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Climate zonation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">National Park Service</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Yellowstone National Park</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Grand Teton National Park</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Climate monitoring</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ecological impacts of climate</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gray, Stephen T.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nicholson, Christopher M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental management</subfield><subfield code="d">Springer-Verlag, 1976</subfield><subfield code="g">49(2012), 5 vom: 15. März, Seite 1076-1091</subfield><subfield code="w">(DE-627)129322970</subfield><subfield code="w">(DE-600)131372-1</subfield><subfield code="w">(DE-576)014557207</subfield><subfield code="x">0364-152X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:49</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:5</subfield><subfield code="g">day:15</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:1076-1091</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00267-012-9827-4</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</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-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</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_11</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_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">49</subfield><subfield code="j">2012</subfield><subfield code="e">5</subfield><subfield code="b">15</subfield><subfield code="c">03</subfield><subfield code="h">1076-1091</subfield></datafield></record></collection>
|
author |
Tercek, Michael T. |
spellingShingle |
Tercek, Michael T. ddc 370 ddc 570 ssgn 12 misc Climate zonation misc National Park Service misc Yellowstone National Park misc Grand Teton National Park misc Climate monitoring misc Ecological impacts of climate Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management |
authorStr |
Tercek, Michael T. |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)129322970 |
format |
Article |
dewey-ones |
370 - Education 350 - Public administration & military science 330 - Economics 570 - Life sciences; biology 690 - Buildings 333 - Economics of land & energy |
delete_txt_mv |
keep |
author_role |
aut aut aut |
collection |
OLC |
remote_str |
false |
illustrated |
Not Illustrated |
issn |
0364-152X |
topic_title |
370 350 330 VZ 570 690 333.7 VZ 12 ssgn Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management Climate zonation National Park Service Yellowstone National Park Grand Teton National Park Climate monitoring Ecological impacts of climate |
topic |
ddc 370 ddc 570 ssgn 12 misc Climate zonation misc National Park Service misc Yellowstone National Park misc Grand Teton National Park misc Climate monitoring misc Ecological impacts of climate |
topic_unstemmed |
ddc 370 ddc 570 ssgn 12 misc Climate zonation misc National Park Service misc Yellowstone National Park misc Grand Teton National Park misc Climate monitoring misc Ecological impacts of climate |
topic_browse |
ddc 370 ddc 570 ssgn 12 misc Climate zonation misc National Park Service misc Yellowstone National Park misc Grand Teton National Park misc Climate monitoring misc Ecological impacts of climate |
format_facet |
Aufsätze Gedruckte Aufsätze |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
nc |
hierarchy_parent_title |
Environmental management |
hierarchy_parent_id |
129322970 |
dewey-tens |
370 - Education 350 - Public administration & military science 330 - Economics 570 - Life sciences; biology 690 - Building & construction |
hierarchy_top_title |
Environmental management |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)129322970 (DE-600)131372-1 (DE-576)014557207 |
title |
Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management |
ctrlnum |
(DE-627)OLC2060637260 (DE-He213)s00267-012-9827-4-p |
title_full |
Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management |
author_sort |
Tercek, Michael T. |
journal |
Environmental management |
journalStr |
Environmental management |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
300 - Social sciences 500 - Science 600 - Technology |
recordtype |
marc |
publishDateSort |
2012 |
contenttype_str_mv |
txt |
container_start_page |
1076 |
author_browse |
Tercek, Michael T. Gray, Stephen T. Nicholson, Christopher M. |
container_volume |
49 |
class |
370 350 330 VZ 570 690 333.7 VZ 12 ssgn |
format_se |
Aufsätze |
author-letter |
Tercek, Michael T. |
doi_str_mv |
10.1007/s00267-012-9827-4 |
dewey-full |
370 350 330 570 690 333.7 |
title_sort |
climate zone delineation: evaluating approaches for use in natural resource management |
title_auth |
Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management |
abstract |
Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. © Springer Science+Business Media, LLC 2012 |
abstractGer |
Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. © Springer Science+Business Media, LLC 2012 |
abstract_unstemmed |
Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. © Springer Science+Business Media, LLC 2012 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4313 |
container_issue |
5 |
title_short |
Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management |
url |
https://doi.org/10.1007/s00267-012-9827-4 |
remote_bool |
false |
author2 |
Gray, Stephen T. Nicholson, Christopher M. |
author2Str |
Gray, Stephen T. Nicholson, Christopher M. |
ppnlink |
129322970 |
mediatype_str_mv |
n |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s00267-012-9827-4 |
up_date |
2024-07-04T01:51:33.798Z |
_version_ |
1803611426047131648 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2060637260</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230324175914.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2012 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00267-012-9827-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2060637260</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00267-012-9827-4-p</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">370</subfield><subfield code="a">350</subfield><subfield code="a">330</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">690</subfield><subfield code="a">333.7</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">12</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tercek, Michael T.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</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="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC 2012</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Climate zonation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">National Park Service</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Yellowstone National Park</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Grand Teton National Park</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Climate monitoring</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ecological impacts of climate</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gray, Stephen T.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nicholson, Christopher M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental management</subfield><subfield code="d">Springer-Verlag, 1976</subfield><subfield code="g">49(2012), 5 vom: 15. März, Seite 1076-1091</subfield><subfield code="w">(DE-627)129322970</subfield><subfield code="w">(DE-600)131372-1</subfield><subfield code="w">(DE-576)014557207</subfield><subfield code="x">0364-152X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:49</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:5</subfield><subfield code="g">day:15</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:1076-1091</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00267-012-9827-4</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</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-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</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_11</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_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">49</subfield><subfield code="j">2012</subfield><subfield code="e">5</subfield><subfield code="b">15</subfield><subfield code="c">03</subfield><subfield code="h">1076-1091</subfield></datafield></record></collection>
|
score |
7.4008055 |