Climate change scenarios and projected impacts for forest productivity in Guanacaste Province (Costa Rica): lessons for tropical forest regions
Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading t...
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Gespeichert in:
| Autor*in: |
Stan, Kayla [verfasserIn] Sanchez-Azofeifa, Arturo [verfasserIn] Calvo-Rodriguez, Sofia [verfasserIn] Castro-Magnani, Marissa [verfasserIn] Chen, Jing [verfasserIn] Ludwig, Ralf [verfasserIn] Zou, Lidong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Regional Environmental Change - Springer-Verlag, 2001, 20(2020), 1 vom: 07. Feb. |
|---|---|
| Übergeordnetes Werk: |
volume:20 ; year:2020 ; number:1 ; day:07 ; month:02 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10113-020-01602-z |
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SPR009213244 |
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| 520 | |a Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to widespread degradation of forest productivity. The objectives of this study are, therefore, to project and assess climatic changes in Guanacaste and to build a relationship between these climatic changes and forest productivity with the goal of projecting productivity trends into the future. The ClimateSA model was used to project RCP4.5 and 8.5 scenarios from 2018 to 2080 and then assess these projections for the mean and extreme future conditions. Furthermore, the MODIS gross primary productivity (GPP) algorithm was used to build a relationship between forest productivity and the vapour pressure deficit scalar (VPD scalar) and project GPP alteration under future climatic scenarios both seasonally and annually. Results indicate that Guanacaste’s mean annual precipitation will stay within the historic levels for both the RCP4.5 and 8.5 scenarios. The monthly and annual temperatures increase in all projections. Results also indicate that the productivity-climate relationship follows a quadratic relationship between GPP and the VPD scalar. This quadratic relationship leads to areas with higher precipitation (high VPD scalar) experiencing an increase in GPP as they dry in the future. In drier areas (low VPD scalar), reduced precipitation will stabilize or decrease GPP. | ||
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10.1007/s10113-020-01602-z doi (DE-627)SPR009213244 (SPR)s10113-020-01602-z-e DE-627 ger DE-627 rakwb eng Stan, Kayla verfasserin aut Climate change scenarios and projected impacts for forest productivity in Guanacaste Province (Costa Rica): lessons for tropical forest regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to widespread degradation of forest productivity. The objectives of this study are, therefore, to project and assess climatic changes in Guanacaste and to build a relationship between these climatic changes and forest productivity with the goal of projecting productivity trends into the future. The ClimateSA model was used to project RCP4.5 and 8.5 scenarios from 2018 to 2080 and then assess these projections for the mean and extreme future conditions. Furthermore, the MODIS gross primary productivity (GPP) algorithm was used to build a relationship between forest productivity and the vapour pressure deficit scalar (VPD scalar) and project GPP alteration under future climatic scenarios both seasonally and annually. Results indicate that Guanacaste’s mean annual precipitation will stay within the historic levels for both the RCP4.5 and 8.5 scenarios. The monthly and annual temperatures increase in all projections. Results also indicate that the productivity-climate relationship follows a quadratic relationship between GPP and the VPD scalar. This quadratic relationship leads to areas with higher precipitation (high VPD scalar) experiencing an increase in GPP as they dry in the future. In drier areas (low VPD scalar), reduced precipitation will stabilize or decrease GPP. Climate change (dpeaa)DE-He213 Productivity (dpeaa)DE-He213 Guanacaste (dpeaa)DE-He213 Tropical dry forest (dpeaa)DE-He213 Climate-biosphere interactions (dpeaa)DE-He213 Sanchez-Azofeifa, Arturo verfasserin aut Calvo-Rodriguez, Sofia verfasserin aut Castro-Magnani, Marissa verfasserin aut Chen, Jing verfasserin aut Ludwig, Ralf verfasserin aut Zou, Lidong verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 20(2020), 1 vom: 07. Feb. (DE-627)SPR008808457 nnns volume:20 year:2020 number:1 day:07 month:02 https://dx.doi.org/10.1007/s10113-020-01602-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 20 2020 1 07 02 |
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10.1007/s10113-020-01602-z doi (DE-627)SPR009213244 (SPR)s10113-020-01602-z-e DE-627 ger DE-627 rakwb eng Stan, Kayla verfasserin aut Climate change scenarios and projected impacts for forest productivity in Guanacaste Province (Costa Rica): lessons for tropical forest regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to widespread degradation of forest productivity. The objectives of this study are, therefore, to project and assess climatic changes in Guanacaste and to build a relationship between these climatic changes and forest productivity with the goal of projecting productivity trends into the future. The ClimateSA model was used to project RCP4.5 and 8.5 scenarios from 2018 to 2080 and then assess these projections for the mean and extreme future conditions. Furthermore, the MODIS gross primary productivity (GPP) algorithm was used to build a relationship between forest productivity and the vapour pressure deficit scalar (VPD scalar) and project GPP alteration under future climatic scenarios both seasonally and annually. Results indicate that Guanacaste’s mean annual precipitation will stay within the historic levels for both the RCP4.5 and 8.5 scenarios. The monthly and annual temperatures increase in all projections. Results also indicate that the productivity-climate relationship follows a quadratic relationship between GPP and the VPD scalar. This quadratic relationship leads to areas with higher precipitation (high VPD scalar) experiencing an increase in GPP as they dry in the future. In drier areas (low VPD scalar), reduced precipitation will stabilize or decrease GPP. Climate change (dpeaa)DE-He213 Productivity (dpeaa)DE-He213 Guanacaste (dpeaa)DE-He213 Tropical dry forest (dpeaa)DE-He213 Climate-biosphere interactions (dpeaa)DE-He213 Sanchez-Azofeifa, Arturo verfasserin aut Calvo-Rodriguez, Sofia verfasserin aut Castro-Magnani, Marissa verfasserin aut Chen, Jing verfasserin aut Ludwig, Ralf verfasserin aut Zou, Lidong verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 20(2020), 1 vom: 07. Feb. (DE-627)SPR008808457 nnns volume:20 year:2020 number:1 day:07 month:02 https://dx.doi.org/10.1007/s10113-020-01602-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 20 2020 1 07 02 |
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10.1007/s10113-020-01602-z doi (DE-627)SPR009213244 (SPR)s10113-020-01602-z-e DE-627 ger DE-627 rakwb eng Stan, Kayla verfasserin aut Climate change scenarios and projected impacts for forest productivity in Guanacaste Province (Costa Rica): lessons for tropical forest regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to widespread degradation of forest productivity. The objectives of this study are, therefore, to project and assess climatic changes in Guanacaste and to build a relationship between these climatic changes and forest productivity with the goal of projecting productivity trends into the future. The ClimateSA model was used to project RCP4.5 and 8.5 scenarios from 2018 to 2080 and then assess these projections for the mean and extreme future conditions. Furthermore, the MODIS gross primary productivity (GPP) algorithm was used to build a relationship between forest productivity and the vapour pressure deficit scalar (VPD scalar) and project GPP alteration under future climatic scenarios both seasonally and annually. Results indicate that Guanacaste’s mean annual precipitation will stay within the historic levels for both the RCP4.5 and 8.5 scenarios. The monthly and annual temperatures increase in all projections. Results also indicate that the productivity-climate relationship follows a quadratic relationship between GPP and the VPD scalar. This quadratic relationship leads to areas with higher precipitation (high VPD scalar) experiencing an increase in GPP as they dry in the future. In drier areas (low VPD scalar), reduced precipitation will stabilize or decrease GPP. Climate change (dpeaa)DE-He213 Productivity (dpeaa)DE-He213 Guanacaste (dpeaa)DE-He213 Tropical dry forest (dpeaa)DE-He213 Climate-biosphere interactions (dpeaa)DE-He213 Sanchez-Azofeifa, Arturo verfasserin aut Calvo-Rodriguez, Sofia verfasserin aut Castro-Magnani, Marissa verfasserin aut Chen, Jing verfasserin aut Ludwig, Ralf verfasserin aut Zou, Lidong verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 20(2020), 1 vom: 07. Feb. (DE-627)SPR008808457 nnns volume:20 year:2020 number:1 day:07 month:02 https://dx.doi.org/10.1007/s10113-020-01602-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 20 2020 1 07 02 |
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10.1007/s10113-020-01602-z doi (DE-627)SPR009213244 (SPR)s10113-020-01602-z-e DE-627 ger DE-627 rakwb eng Stan, Kayla verfasserin aut Climate change scenarios and projected impacts for forest productivity in Guanacaste Province (Costa Rica): lessons for tropical forest regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to widespread degradation of forest productivity. The objectives of this study are, therefore, to project and assess climatic changes in Guanacaste and to build a relationship between these climatic changes and forest productivity with the goal of projecting productivity trends into the future. The ClimateSA model was used to project RCP4.5 and 8.5 scenarios from 2018 to 2080 and then assess these projections for the mean and extreme future conditions. Furthermore, the MODIS gross primary productivity (GPP) algorithm was used to build a relationship between forest productivity and the vapour pressure deficit scalar (VPD scalar) and project GPP alteration under future climatic scenarios both seasonally and annually. Results indicate that Guanacaste’s mean annual precipitation will stay within the historic levels for both the RCP4.5 and 8.5 scenarios. The monthly and annual temperatures increase in all projections. Results also indicate that the productivity-climate relationship follows a quadratic relationship between GPP and the VPD scalar. This quadratic relationship leads to areas with higher precipitation (high VPD scalar) experiencing an increase in GPP as they dry in the future. In drier areas (low VPD scalar), reduced precipitation will stabilize or decrease GPP. Climate change (dpeaa)DE-He213 Productivity (dpeaa)DE-He213 Guanacaste (dpeaa)DE-He213 Tropical dry forest (dpeaa)DE-He213 Climate-biosphere interactions (dpeaa)DE-He213 Sanchez-Azofeifa, Arturo verfasserin aut Calvo-Rodriguez, Sofia verfasserin aut Castro-Magnani, Marissa verfasserin aut Chen, Jing verfasserin aut Ludwig, Ralf verfasserin aut Zou, Lidong verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 20(2020), 1 vom: 07. Feb. (DE-627)SPR008808457 nnns volume:20 year:2020 number:1 day:07 month:02 https://dx.doi.org/10.1007/s10113-020-01602-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 20 2020 1 07 02 |
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10.1007/s10113-020-01602-z doi (DE-627)SPR009213244 (SPR)s10113-020-01602-z-e DE-627 ger DE-627 rakwb eng Stan, Kayla verfasserin aut Climate change scenarios and projected impacts for forest productivity in Guanacaste Province (Costa Rica): lessons for tropical forest regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to widespread degradation of forest productivity. The objectives of this study are, therefore, to project and assess climatic changes in Guanacaste and to build a relationship between these climatic changes and forest productivity with the goal of projecting productivity trends into the future. The ClimateSA model was used to project RCP4.5 and 8.5 scenarios from 2018 to 2080 and then assess these projections for the mean and extreme future conditions. Furthermore, the MODIS gross primary productivity (GPP) algorithm was used to build a relationship between forest productivity and the vapour pressure deficit scalar (VPD scalar) and project GPP alteration under future climatic scenarios both seasonally and annually. Results indicate that Guanacaste’s mean annual precipitation will stay within the historic levels for both the RCP4.5 and 8.5 scenarios. The monthly and annual temperatures increase in all projections. Results also indicate that the productivity-climate relationship follows a quadratic relationship between GPP and the VPD scalar. This quadratic relationship leads to areas with higher precipitation (high VPD scalar) experiencing an increase in GPP as they dry in the future. In drier areas (low VPD scalar), reduced precipitation will stabilize or decrease GPP. Climate change (dpeaa)DE-He213 Productivity (dpeaa)DE-He213 Guanacaste (dpeaa)DE-He213 Tropical dry forest (dpeaa)DE-He213 Climate-biosphere interactions (dpeaa)DE-He213 Sanchez-Azofeifa, Arturo verfasserin aut Calvo-Rodriguez, Sofia verfasserin aut Castro-Magnani, Marissa verfasserin aut Chen, Jing verfasserin aut Ludwig, Ralf verfasserin aut Zou, Lidong verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 20(2020), 1 vom: 07. Feb. (DE-627)SPR008808457 nnns volume:20 year:2020 number:1 day:07 month:02 https://dx.doi.org/10.1007/s10113-020-01602-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 20 2020 1 07 02 |
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2020 |
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Stan, Kayla Sanchez-Azofeifa, Arturo Calvo-Rodriguez, Sofia Castro-Magnani, Marissa Chen, Jing Ludwig, Ralf Zou, Lidong |
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20 |
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Elektronische Aufsätze |
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Stan, Kayla |
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10.1007/s10113-020-01602-z |
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verfasserin |
| title_sort |
climate change scenarios and projected impacts for forest productivity in guanacaste province (costa rica): lessons for tropical forest regions |
| title_auth |
Climate change scenarios and projected impacts for forest productivity in Guanacaste Province (Costa Rica): lessons for tropical forest regions |
| abstract |
Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to widespread degradation of forest productivity. The objectives of this study are, therefore, to project and assess climatic changes in Guanacaste and to build a relationship between these climatic changes and forest productivity with the goal of projecting productivity trends into the future. The ClimateSA model was used to project RCP4.5 and 8.5 scenarios from 2018 to 2080 and then assess these projections for the mean and extreme future conditions. Furthermore, the MODIS gross primary productivity (GPP) algorithm was used to build a relationship between forest productivity and the vapour pressure deficit scalar (VPD scalar) and project GPP alteration under future climatic scenarios both seasonally and annually. Results indicate that Guanacaste’s mean annual precipitation will stay within the historic levels for both the RCP4.5 and 8.5 scenarios. The monthly and annual temperatures increase in all projections. Results also indicate that the productivity-climate relationship follows a quadratic relationship between GPP and the VPD scalar. This quadratic relationship leads to areas with higher precipitation (high VPD scalar) experiencing an increase in GPP as they dry in the future. In drier areas (low VPD scalar), reduced precipitation will stabilize or decrease GPP. |
| abstractGer |
Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to widespread degradation of forest productivity. The objectives of this study are, therefore, to project and assess climatic changes in Guanacaste and to build a relationship between these climatic changes and forest productivity with the goal of projecting productivity trends into the future. The ClimateSA model was used to project RCP4.5 and 8.5 scenarios from 2018 to 2080 and then assess these projections for the mean and extreme future conditions. Furthermore, the MODIS gross primary productivity (GPP) algorithm was used to build a relationship between forest productivity and the vapour pressure deficit scalar (VPD scalar) and project GPP alteration under future climatic scenarios both seasonally and annually. Results indicate that Guanacaste’s mean annual precipitation will stay within the historic levels for both the RCP4.5 and 8.5 scenarios. The monthly and annual temperatures increase in all projections. Results also indicate that the productivity-climate relationship follows a quadratic relationship between GPP and the VPD scalar. This quadratic relationship leads to areas with higher precipitation (high VPD scalar) experiencing an increase in GPP as they dry in the future. In drier areas (low VPD scalar), reduced precipitation will stabilize or decrease GPP. |
| abstract_unstemmed |
Abstract The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to widespread degradation of forest productivity. The objectives of this study are, therefore, to project and assess climatic changes in Guanacaste and to build a relationship between these climatic changes and forest productivity with the goal of projecting productivity trends into the future. The ClimateSA model was used to project RCP4.5 and 8.5 scenarios from 2018 to 2080 and then assess these projections for the mean and extreme future conditions. Furthermore, the MODIS gross primary productivity (GPP) algorithm was used to build a relationship between forest productivity and the vapour pressure deficit scalar (VPD scalar) and project GPP alteration under future climatic scenarios both seasonally and annually. Results indicate that Guanacaste’s mean annual precipitation will stay within the historic levels for both the RCP4.5 and 8.5 scenarios. The monthly and annual temperatures increase in all projections. Results also indicate that the productivity-climate relationship follows a quadratic relationship between GPP and the VPD scalar. This quadratic relationship leads to areas with higher precipitation (high VPD scalar) experiencing an increase in GPP as they dry in the future. In drier areas (low VPD scalar), reduced precipitation will stabilize or decrease GPP. |
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Climate change scenarios and projected impacts for forest productivity in Guanacaste Province (Costa Rica): lessons for tropical forest regions |
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Sanchez-Azofeifa, Arturo Calvo-Rodriguez, Sofia Castro-Magnani, Marissa Chen, Jing Ludwig, Ralf Zou, Lidong |
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Sanchez-Azofeifa, Arturo Calvo-Rodriguez, Sofia Castro-Magnani, Marissa Chen, Jing Ludwig, Ralf Zou, Lidong |
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