Improving the estimate of forest biomass carbon storage by combining two forest inventory systems
Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) coll...
Ausführliche Beschreibung
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| Autor*in: |
Zhang, Liyun [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Rechteinformationen: |
Nutzungsrecht: © 2016 Informa UK Limited, trading as Taylor & Francis Group 2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Scandinavian journal of forest research - Stockholm : Almqvist & Wiksell, 1986, 32(2017), 4, Seite 297-9 |
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| Übergeordnetes Werk: |
volume:32 ; year:2017 ; number:4 ; pages:297-9 |
| Links: |
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| DOI / URN: |
10.1080/02827581.2016.1226946 |
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| 520 | |a Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) collect extensive information on trees and stands respectively, and together, provide an opportunity to improve the regional estimates of forest carbon. In this study, we applied the SBFI to overcome the spatial extent limits of the PBFI in neighboring plots and improve the regional carbon estimation. We found that the forests in Sichuan Province reserved a total of 624.2 Tg C in biomass and featured a large spatial heterogeneity, with high values in natural forests and low values in plantations. We found that the solo use of PBFI derived a slightly higher (46.63 Mg C/ha) estimation on average compared with the integrated method (43.6 Mg C/ha). However, when considering the spatial distribution, the PBFI generated an overestimation of young forests located between 3000and 4000 m in elevation, and an underestimation in mature forests. The spatially explicit biomass carbon estimation could be helpful in guiding regional forest management and biodiversity conservation. | ||
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| 650 | 4 | |a carbon accounting | |
| 650 | 4 | |a Biomass carbon density | |
| 650 | 4 | |a individual tree biomass equation | |
| 650 | 4 | |a biomass expansion function | |
| 650 | 4 | |a forest inventory | |
| 650 | 4 | |a Biomass | |
| 650 | 4 | |a Forest management | |
| 650 | 4 | |a Carbon sequestration | |
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| 700 | 1 | |a Qiu, Shuai |4 oth | |
| 700 | 1 | |a Li, Renqiang |4 oth | |
| 700 | 1 | |a Zhao, Haifeng |4 oth | |
| 700 | 1 | |a Shang, Hua |4 oth | |
| 700 | 1 | |a Lai, Changhong |4 oth | |
| 700 | 1 | |a Zhang, Wen |4 oth | |
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10.1080/02827581.2016.1226946 doi PQ20171125 (DE-627)OLC1995013293 (DE-599)GBVOLC1995013293 (PRQ)c2193-ea21354e715c57bcb88ff307799c78834c1c278d260cac1c6f31b76f86c25ba90 (KEY)0152762220170000032000400297improvingtheestimateofforestbiomasscarbonstorageby DE-627 ger DE-627 rakwb eng 630 640 DE-600 48.00 bkl Zhang, Liyun verfasserin aut Improving the estimate of forest biomass carbon storage by combining two forest inventory systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) collect extensive information on trees and stands respectively, and together, provide an opportunity to improve the regional estimates of forest carbon. In this study, we applied the SBFI to overcome the spatial extent limits of the PBFI in neighboring plots and improve the regional carbon estimation. We found that the forests in Sichuan Province reserved a total of 624.2 Tg C in biomass and featured a large spatial heterogeneity, with high values in natural forests and low values in plantations. We found that the solo use of PBFI derived a slightly higher (46.63 Mg C/ha) estimation on average compared with the integrated method (43.6 Mg C/ha). However, when considering the spatial distribution, the PBFI generated an overestimation of young forests located between 3000and 4000 m in elevation, and an underestimation in mature forests. The spatially explicit biomass carbon estimation could be helpful in guiding regional forest management and biodiversity conservation. Nutzungsrecht: © 2016 Informa UK Limited, trading as Taylor & Francis Group 2016 carbon accounting Biomass carbon density individual tree biomass equation biomass expansion function forest inventory Biomass Forest management Carbon sequestration Xu, Ming oth Qiu, Shuai oth Li, Renqiang oth Zhao, Haifeng oth Shang, Hua oth Lai, Changhong oth Zhang, Wen oth Enthalten in Scandinavian journal of forest research Stockholm : Almqvist & Wiksell, 1986 32(2017), 4, Seite 297-9 (DE-627)129677663 (DE-600)256848-2 (DE-576)02508089X 0282-7581 nnns volume:32 year:2017 number:4 pages:297-9 http://dx.doi.org/10.1080/02827581.2016.1226946 Volltext http://www.tandfonline.com/doi/abs/10.1080/02827581.2016.1226946 https://search.proquest.com/docview/1886294311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-FOR SSG-OLC-SCA SSG-OPC-FOR 48.00 AVZ AR 32 2017 4 297-9 |
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10.1080/02827581.2016.1226946 doi PQ20171125 (DE-627)OLC1995013293 (DE-599)GBVOLC1995013293 (PRQ)c2193-ea21354e715c57bcb88ff307799c78834c1c278d260cac1c6f31b76f86c25ba90 (KEY)0152762220170000032000400297improvingtheestimateofforestbiomasscarbonstorageby DE-627 ger DE-627 rakwb eng 630 640 DE-600 48.00 bkl Zhang, Liyun verfasserin aut Improving the estimate of forest biomass carbon storage by combining two forest inventory systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) collect extensive information on trees and stands respectively, and together, provide an opportunity to improve the regional estimates of forest carbon. In this study, we applied the SBFI to overcome the spatial extent limits of the PBFI in neighboring plots and improve the regional carbon estimation. We found that the forests in Sichuan Province reserved a total of 624.2 Tg C in biomass and featured a large spatial heterogeneity, with high values in natural forests and low values in plantations. We found that the solo use of PBFI derived a slightly higher (46.63 Mg C/ha) estimation on average compared with the integrated method (43.6 Mg C/ha). However, when considering the spatial distribution, the PBFI generated an overestimation of young forests located between 3000and 4000 m in elevation, and an underestimation in mature forests. The spatially explicit biomass carbon estimation could be helpful in guiding regional forest management and biodiversity conservation. Nutzungsrecht: © 2016 Informa UK Limited, trading as Taylor & Francis Group 2016 carbon accounting Biomass carbon density individual tree biomass equation biomass expansion function forest inventory Biomass Forest management Carbon sequestration Xu, Ming oth Qiu, Shuai oth Li, Renqiang oth Zhao, Haifeng oth Shang, Hua oth Lai, Changhong oth Zhang, Wen oth Enthalten in Scandinavian journal of forest research Stockholm : Almqvist & Wiksell, 1986 32(2017), 4, Seite 297-9 (DE-627)129677663 (DE-600)256848-2 (DE-576)02508089X 0282-7581 nnns volume:32 year:2017 number:4 pages:297-9 http://dx.doi.org/10.1080/02827581.2016.1226946 Volltext http://www.tandfonline.com/doi/abs/10.1080/02827581.2016.1226946 https://search.proquest.com/docview/1886294311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-FOR SSG-OLC-SCA SSG-OPC-FOR 48.00 AVZ AR 32 2017 4 297-9 |
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10.1080/02827581.2016.1226946 doi PQ20171125 (DE-627)OLC1995013293 (DE-599)GBVOLC1995013293 (PRQ)c2193-ea21354e715c57bcb88ff307799c78834c1c278d260cac1c6f31b76f86c25ba90 (KEY)0152762220170000032000400297improvingtheestimateofforestbiomasscarbonstorageby DE-627 ger DE-627 rakwb eng 630 640 DE-600 48.00 bkl Zhang, Liyun verfasserin aut Improving the estimate of forest biomass carbon storage by combining two forest inventory systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) collect extensive information on trees and stands respectively, and together, provide an opportunity to improve the regional estimates of forest carbon. In this study, we applied the SBFI to overcome the spatial extent limits of the PBFI in neighboring plots and improve the regional carbon estimation. We found that the forests in Sichuan Province reserved a total of 624.2 Tg C in biomass and featured a large spatial heterogeneity, with high values in natural forests and low values in plantations. We found that the solo use of PBFI derived a slightly higher (46.63 Mg C/ha) estimation on average compared with the integrated method (43.6 Mg C/ha). However, when considering the spatial distribution, the PBFI generated an overestimation of young forests located between 3000and 4000 m in elevation, and an underestimation in mature forests. The spatially explicit biomass carbon estimation could be helpful in guiding regional forest management and biodiversity conservation. Nutzungsrecht: © 2016 Informa UK Limited, trading as Taylor & Francis Group 2016 carbon accounting Biomass carbon density individual tree biomass equation biomass expansion function forest inventory Biomass Forest management Carbon sequestration Xu, Ming oth Qiu, Shuai oth Li, Renqiang oth Zhao, Haifeng oth Shang, Hua oth Lai, Changhong oth Zhang, Wen oth Enthalten in Scandinavian journal of forest research Stockholm : Almqvist & Wiksell, 1986 32(2017), 4, Seite 297-9 (DE-627)129677663 (DE-600)256848-2 (DE-576)02508089X 0282-7581 nnns volume:32 year:2017 number:4 pages:297-9 http://dx.doi.org/10.1080/02827581.2016.1226946 Volltext http://www.tandfonline.com/doi/abs/10.1080/02827581.2016.1226946 https://search.proquest.com/docview/1886294311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-FOR SSG-OLC-SCA SSG-OPC-FOR 48.00 AVZ AR 32 2017 4 297-9 |
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10.1080/02827581.2016.1226946 doi PQ20171125 (DE-627)OLC1995013293 (DE-599)GBVOLC1995013293 (PRQ)c2193-ea21354e715c57bcb88ff307799c78834c1c278d260cac1c6f31b76f86c25ba90 (KEY)0152762220170000032000400297improvingtheestimateofforestbiomasscarbonstorageby DE-627 ger DE-627 rakwb eng 630 640 DE-600 48.00 bkl Zhang, Liyun verfasserin aut Improving the estimate of forest biomass carbon storage by combining two forest inventory systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) collect extensive information on trees and stands respectively, and together, provide an opportunity to improve the regional estimates of forest carbon. In this study, we applied the SBFI to overcome the spatial extent limits of the PBFI in neighboring plots and improve the regional carbon estimation. We found that the forests in Sichuan Province reserved a total of 624.2 Tg C in biomass and featured a large spatial heterogeneity, with high values in natural forests and low values in plantations. We found that the solo use of PBFI derived a slightly higher (46.63 Mg C/ha) estimation on average compared with the integrated method (43.6 Mg C/ha). However, when considering the spatial distribution, the PBFI generated an overestimation of young forests located between 3000and 4000 m in elevation, and an underestimation in mature forests. The spatially explicit biomass carbon estimation could be helpful in guiding regional forest management and biodiversity conservation. Nutzungsrecht: © 2016 Informa UK Limited, trading as Taylor & Francis Group 2016 carbon accounting Biomass carbon density individual tree biomass equation biomass expansion function forest inventory Biomass Forest management Carbon sequestration Xu, Ming oth Qiu, Shuai oth Li, Renqiang oth Zhao, Haifeng oth Shang, Hua oth Lai, Changhong oth Zhang, Wen oth Enthalten in Scandinavian journal of forest research Stockholm : Almqvist & Wiksell, 1986 32(2017), 4, Seite 297-9 (DE-627)129677663 (DE-600)256848-2 (DE-576)02508089X 0282-7581 nnns volume:32 year:2017 number:4 pages:297-9 http://dx.doi.org/10.1080/02827581.2016.1226946 Volltext http://www.tandfonline.com/doi/abs/10.1080/02827581.2016.1226946 https://search.proquest.com/docview/1886294311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-FOR SSG-OLC-SCA SSG-OPC-FOR 48.00 AVZ AR 32 2017 4 297-9 |
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10.1080/02827581.2016.1226946 doi PQ20171125 (DE-627)OLC1995013293 (DE-599)GBVOLC1995013293 (PRQ)c2193-ea21354e715c57bcb88ff307799c78834c1c278d260cac1c6f31b76f86c25ba90 (KEY)0152762220170000032000400297improvingtheestimateofforestbiomasscarbonstorageby DE-627 ger DE-627 rakwb eng 630 640 DE-600 48.00 bkl Zhang, Liyun verfasserin aut Improving the estimate of forest biomass carbon storage by combining two forest inventory systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) collect extensive information on trees and stands respectively, and together, provide an opportunity to improve the regional estimates of forest carbon. In this study, we applied the SBFI to overcome the spatial extent limits of the PBFI in neighboring plots and improve the regional carbon estimation. We found that the forests in Sichuan Province reserved a total of 624.2 Tg C in biomass and featured a large spatial heterogeneity, with high values in natural forests and low values in plantations. We found that the solo use of PBFI derived a slightly higher (46.63 Mg C/ha) estimation on average compared with the integrated method (43.6 Mg C/ha). However, when considering the spatial distribution, the PBFI generated an overestimation of young forests located between 3000and 4000 m in elevation, and an underestimation in mature forests. The spatially explicit biomass carbon estimation could be helpful in guiding regional forest management and biodiversity conservation. Nutzungsrecht: © 2016 Informa UK Limited, trading as Taylor & Francis Group 2016 carbon accounting Biomass carbon density individual tree biomass equation biomass expansion function forest inventory Biomass Forest management Carbon sequestration Xu, Ming oth Qiu, Shuai oth Li, Renqiang oth Zhao, Haifeng oth Shang, Hua oth Lai, Changhong oth Zhang, Wen oth Enthalten in Scandinavian journal of forest research Stockholm : Almqvist & Wiksell, 1986 32(2017), 4, Seite 297-9 (DE-627)129677663 (DE-600)256848-2 (DE-576)02508089X 0282-7581 nnns volume:32 year:2017 number:4 pages:297-9 http://dx.doi.org/10.1080/02827581.2016.1226946 Volltext http://www.tandfonline.com/doi/abs/10.1080/02827581.2016.1226946 https://search.proquest.com/docview/1886294311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-FOR SSG-OLC-SCA SSG-OPC-FOR 48.00 AVZ AR 32 2017 4 297-9 |
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Zhang, Liyun @@aut@@ Xu, Ming @@oth@@ Qiu, Shuai @@oth@@ Li, Renqiang @@oth@@ Zhao, Haifeng @@oth@@ Shang, Hua @@oth@@ Lai, Changhong @@oth@@ Zhang, Wen @@oth@@ |
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improving the estimate of forest biomass carbon storage by combining two forest inventory systems |
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Improving the estimate of forest biomass carbon storage by combining two forest inventory systems |
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Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) collect extensive information on trees and stands respectively, and together, provide an opportunity to improve the regional estimates of forest carbon. In this study, we applied the SBFI to overcome the spatial extent limits of the PBFI in neighboring plots and improve the regional carbon estimation. We found that the forests in Sichuan Province reserved a total of 624.2 Tg C in biomass and featured a large spatial heterogeneity, with high values in natural forests and low values in plantations. We found that the solo use of PBFI derived a slightly higher (46.63 Mg C/ha) estimation on average compared with the integrated method (43.6 Mg C/ha). However, when considering the spatial distribution, the PBFI generated an overestimation of young forests located between 3000and 4000 m in elevation, and an underestimation in mature forests. The spatially explicit biomass carbon estimation could be helpful in guiding regional forest management and biodiversity conservation. |
| abstractGer |
Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) collect extensive information on trees and stands respectively, and together, provide an opportunity to improve the regional estimates of forest carbon. In this study, we applied the SBFI to overcome the spatial extent limits of the PBFI in neighboring plots and improve the regional carbon estimation. We found that the forests in Sichuan Province reserved a total of 624.2 Tg C in biomass and featured a large spatial heterogeneity, with high values in natural forests and low values in plantations. We found that the solo use of PBFI derived a slightly higher (46.63 Mg C/ha) estimation on average compared with the integrated method (43.6 Mg C/ha). However, when considering the spatial distribution, the PBFI generated an overestimation of young forests located between 3000and 4000 m in elevation, and an underestimation in mature forests. The spatially explicit biomass carbon estimation could be helpful in guiding regional forest management and biodiversity conservation. |
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Quantifying forest carbon storage and its spatial distribution at regional scales is critical for the creation of greenhouse gases inventories, the evaluation of forest services and carbon-oriented forest management. The plot-based forest inventory (PBFI) and stand-based forest inventory (SBFI) collect extensive information on trees and stands respectively, and together, provide an opportunity to improve the regional estimates of forest carbon. In this study, we applied the SBFI to overcome the spatial extent limits of the PBFI in neighboring plots and improve the regional carbon estimation. We found that the forests in Sichuan Province reserved a total of 624.2 Tg C in biomass and featured a large spatial heterogeneity, with high values in natural forests and low values in plantations. We found that the solo use of PBFI derived a slightly higher (46.63 Mg C/ha) estimation on average compared with the integrated method (43.6 Mg C/ha). However, when considering the spatial distribution, the PBFI generated an overestimation of young forests located between 3000and 4000 m in elevation, and an underestimation in mature forests. The spatially explicit biomass carbon estimation could be helpful in guiding regional forest management and biodiversity conservation. |
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Improving the estimate of forest biomass carbon storage by combining two forest inventory systems |
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Xu, Ming Qiu, Shuai Li, Renqiang Zhao, Haifeng Shang, Hua Lai, Changhong Zhang, Wen |
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