When tree rings go global: Challenges and opportunities for retro- and prospective insight
The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, h...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Babst, Flurin [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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| Schlagwörter: |
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| Umfang: |
20 |
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| Übergeordnetes Werk: |
Enthalten in: CME examination - 2014, the international multidisciplinary research and review journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:197 ; year:2018 ; day:1 ; month:10 ; pages:1-20 ; extent:20 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.quascirev.2018.07.009 |
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ELV044140533 |
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| 245 | 1 | 0 | |a When tree rings go global: Challenges and opportunities for retro- and prospective insight |
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| 520 | |a The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. | ||
| 520 | |a The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. | ||
| 650 | 7 | |a Climate change |2 Elsevier | |
| 650 | 7 | |a Anthropocene |2 Elsevier | |
| 650 | 7 | |a Data integration |2 Elsevier | |
| 650 | 7 | |a Vegetation models |2 Elsevier | |
| 650 | 7 | |a Scaling |2 Elsevier | |
| 650 | 7 | |a Dendrochronology |2 Elsevier | |
| 650 | 7 | |a Forest growth |2 Elsevier | |
| 650 | 7 | |a Remote sensing |2 Elsevier | |
| 650 | 7 | |a Forest inventory |2 Elsevier | |
| 700 | 1 | |a Bodesheim, Paul |4 oth | |
| 700 | 1 | |a Charney, Noah |4 oth | |
| 700 | 1 | |a Friend, Andrew D. |4 oth | |
| 700 | 1 | |a Girardin, Martin P. |4 oth | |
| 700 | 1 | |a Klesse, Stefan |4 oth | |
| 700 | 1 | |a Moore, David J.P. |4 oth | |
| 700 | 1 | |a Seftigen, Kristina |4 oth | |
| 700 | 1 | |a Björklund, Jesper |4 oth | |
| 700 | 1 | |a Bouriaud, Olivier |4 oth | |
| 700 | 1 | |a Dawson, Andria |4 oth | |
| 700 | 1 | |a DeRose, R. Justin |4 oth | |
| 700 | 1 | |a Dietze, Michael C. |4 oth | |
| 700 | 1 | |a Eckes, Annemarie H. |4 oth | |
| 700 | 1 | |a Enquist, Brian |4 oth | |
| 700 | 1 | |a Frank, David C. |4 oth | |
| 700 | 1 | |a Mahecha, Miguel D. |4 oth | |
| 700 | 1 | |a Poulter, Benjamin |4 oth | |
| 700 | 1 | |a Record, Sydne |4 oth | |
| 700 | 1 | |a Trouet, Valerie |4 oth | |
| 700 | 1 | |a Turton, Rachael H. |4 oth | |
| 700 | 1 | |a Zhang, Zhen |4 oth | |
| 700 | 1 | |a Evans, Margaret E.K. |4 oth | |
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10.1016/j.quascirev.2018.07.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001216.pica (DE-627)ELV044140533 (ELSEVIER)S0277-3791(18)30089-1 DE-627 ger DE-627 rakwb eng 610 VZ 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Babst, Flurin verfasserin aut When tree rings go global: Challenges and opportunities for retro- and prospective insight 2018transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. Climate change Elsevier Anthropocene Elsevier Data integration Elsevier Vegetation models Elsevier Scaling Elsevier Dendrochronology Elsevier Forest growth Elsevier Remote sensing Elsevier Forest inventory Elsevier Bodesheim, Paul oth Charney, Noah oth Friend, Andrew D. oth Girardin, Martin P. oth Klesse, Stefan oth Moore, David J.P. oth Seftigen, Kristina oth Björklund, Jesper oth Bouriaud, Olivier oth Dawson, Andria oth DeRose, R. Justin oth Dietze, Michael C. oth Eckes, Annemarie H. oth Enquist, Brian oth Frank, David C. oth Mahecha, Miguel D. oth Poulter, Benjamin oth Record, Sydne oth Trouet, Valerie oth Turton, Rachael H. oth Zhang, Zhen oth Evans, Margaret E.K. oth Enthalten in Elsevier CME examination 2014 the international multidisciplinary research and review journal Amsterdam [u.a.] (DE-627)ELV012176508 volume:197 year:2018 day:1 month:10 pages:1-20 extent:20 https://doi.org/10.1016/j.quascirev.2018.07.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_70 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 197 2018 1 1001 1-20 20 |
| spelling |
10.1016/j.quascirev.2018.07.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001216.pica (DE-627)ELV044140533 (ELSEVIER)S0277-3791(18)30089-1 DE-627 ger DE-627 rakwb eng 610 VZ 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Babst, Flurin verfasserin aut When tree rings go global: Challenges and opportunities for retro- and prospective insight 2018transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. Climate change Elsevier Anthropocene Elsevier Data integration Elsevier Vegetation models Elsevier Scaling Elsevier Dendrochronology Elsevier Forest growth Elsevier Remote sensing Elsevier Forest inventory Elsevier Bodesheim, Paul oth Charney, Noah oth Friend, Andrew D. oth Girardin, Martin P. oth Klesse, Stefan oth Moore, David J.P. oth Seftigen, Kristina oth Björklund, Jesper oth Bouriaud, Olivier oth Dawson, Andria oth DeRose, R. Justin oth Dietze, Michael C. oth Eckes, Annemarie H. oth Enquist, Brian oth Frank, David C. oth Mahecha, Miguel D. oth Poulter, Benjamin oth Record, Sydne oth Trouet, Valerie oth Turton, Rachael H. oth Zhang, Zhen oth Evans, Margaret E.K. oth Enthalten in Elsevier CME examination 2014 the international multidisciplinary research and review journal Amsterdam [u.a.] (DE-627)ELV012176508 volume:197 year:2018 day:1 month:10 pages:1-20 extent:20 https://doi.org/10.1016/j.quascirev.2018.07.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_70 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 197 2018 1 1001 1-20 20 |
| allfields_unstemmed |
10.1016/j.quascirev.2018.07.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001216.pica (DE-627)ELV044140533 (ELSEVIER)S0277-3791(18)30089-1 DE-627 ger DE-627 rakwb eng 610 VZ 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Babst, Flurin verfasserin aut When tree rings go global: Challenges and opportunities for retro- and prospective insight 2018transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. Climate change Elsevier Anthropocene Elsevier Data integration Elsevier Vegetation models Elsevier Scaling Elsevier Dendrochronology Elsevier Forest growth Elsevier Remote sensing Elsevier Forest inventory Elsevier Bodesheim, Paul oth Charney, Noah oth Friend, Andrew D. oth Girardin, Martin P. oth Klesse, Stefan oth Moore, David J.P. oth Seftigen, Kristina oth Björklund, Jesper oth Bouriaud, Olivier oth Dawson, Andria oth DeRose, R. Justin oth Dietze, Michael C. oth Eckes, Annemarie H. oth Enquist, Brian oth Frank, David C. oth Mahecha, Miguel D. oth Poulter, Benjamin oth Record, Sydne oth Trouet, Valerie oth Turton, Rachael H. oth Zhang, Zhen oth Evans, Margaret E.K. oth Enthalten in Elsevier CME examination 2014 the international multidisciplinary research and review journal Amsterdam [u.a.] (DE-627)ELV012176508 volume:197 year:2018 day:1 month:10 pages:1-20 extent:20 https://doi.org/10.1016/j.quascirev.2018.07.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_70 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 197 2018 1 1001 1-20 20 |
| allfieldsGer |
10.1016/j.quascirev.2018.07.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001216.pica (DE-627)ELV044140533 (ELSEVIER)S0277-3791(18)30089-1 DE-627 ger DE-627 rakwb eng 610 VZ 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Babst, Flurin verfasserin aut When tree rings go global: Challenges and opportunities for retro- and prospective insight 2018transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. Climate change Elsevier Anthropocene Elsevier Data integration Elsevier Vegetation models Elsevier Scaling Elsevier Dendrochronology Elsevier Forest growth Elsevier Remote sensing Elsevier Forest inventory Elsevier Bodesheim, Paul oth Charney, Noah oth Friend, Andrew D. oth Girardin, Martin P. oth Klesse, Stefan oth Moore, David J.P. oth Seftigen, Kristina oth Björklund, Jesper oth Bouriaud, Olivier oth Dawson, Andria oth DeRose, R. Justin oth Dietze, Michael C. oth Eckes, Annemarie H. oth Enquist, Brian oth Frank, David C. oth Mahecha, Miguel D. oth Poulter, Benjamin oth Record, Sydne oth Trouet, Valerie oth Turton, Rachael H. oth Zhang, Zhen oth Evans, Margaret E.K. oth Enthalten in Elsevier CME examination 2014 the international multidisciplinary research and review journal Amsterdam [u.a.] (DE-627)ELV012176508 volume:197 year:2018 day:1 month:10 pages:1-20 extent:20 https://doi.org/10.1016/j.quascirev.2018.07.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_70 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 197 2018 1 1001 1-20 20 |
| allfieldsSound |
10.1016/j.quascirev.2018.07.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001216.pica (DE-627)ELV044140533 (ELSEVIER)S0277-3791(18)30089-1 DE-627 ger DE-627 rakwb eng 610 VZ 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Babst, Flurin verfasserin aut When tree rings go global: Challenges and opportunities for retro- and prospective insight 2018transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. Climate change Elsevier Anthropocene Elsevier Data integration Elsevier Vegetation models Elsevier Scaling Elsevier Dendrochronology Elsevier Forest growth Elsevier Remote sensing Elsevier Forest inventory Elsevier Bodesheim, Paul oth Charney, Noah oth Friend, Andrew D. oth Girardin, Martin P. oth Klesse, Stefan oth Moore, David J.P. oth Seftigen, Kristina oth Björklund, Jesper oth Bouriaud, Olivier oth Dawson, Andria oth DeRose, R. Justin oth Dietze, Michael C. oth Eckes, Annemarie H. oth Enquist, Brian oth Frank, David C. oth Mahecha, Miguel D. oth Poulter, Benjamin oth Record, Sydne oth Trouet, Valerie oth Turton, Rachael H. oth Zhang, Zhen oth Evans, Margaret E.K. oth Enthalten in Elsevier CME examination 2014 the international multidisciplinary research and review journal Amsterdam [u.a.] (DE-627)ELV012176508 volume:197 year:2018 day:1 month:10 pages:1-20 extent:20 https://doi.org/10.1016/j.quascirev.2018.07.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_70 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 197 2018 1 1001 1-20 20 |
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When tree rings go global: Challenges and opportunities for retro- and prospective insight |
| abstract |
The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. |
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The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. |
| abstract_unstemmed |
The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies. |
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When tree rings go global: Challenges and opportunities for retro- and prospective insight |
| url |
https://doi.org/10.1016/j.quascirev.2018.07.009 |
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Bodesheim, Paul Charney, Noah Friend, Andrew D. Girardin, Martin P. Klesse, Stefan Moore, David J.P. Seftigen, Kristina Björklund, Jesper Bouriaud, Olivier Dawson, Andria DeRose, R. Justin Dietze, Michael C. Eckes, Annemarie H. Enquist, Brian Frank, David C. Mahecha, Miguel D. Poulter, Benjamin Record, Sydne Trouet, Valerie Turton, Rachael H. Zhang, Zhen Evans, Margaret E.K. |
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Bodesheim, Paul Charney, Noah Friend, Andrew D. Girardin, Martin P. Klesse, Stefan Moore, David J.P. Seftigen, Kristina Björklund, Jesper Bouriaud, Olivier Dawson, Andria DeRose, R. Justin Dietze, Michael C. Eckes, Annemarie H. Enquist, Brian Frank, David C. Mahecha, Miguel D. Poulter, Benjamin Record, Sydne Trouet, Valerie Turton, Rachael H. Zhang, Zhen Evans, Margaret E.K. |
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| doi_str |
10.1016/j.quascirev.2018.07.009 |
| up_date |
2024-07-06T20:41:29.486Z |
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This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. 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