On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models
One of the ways in which the CGIAR Research Program on Water, Land and Ecosystems (WLE) addresses the challenge of achieving sustainable growth is by improving our understanding of tradeoffs and synergies related to water, food, environment and energy. Essential to the success of these efforts is t...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
FutureWater
2017
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| Online Access: | https://hdl.handle.net/10568/90593 |
| _version_ | 1855536821181612032 |
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| author | Simons, G. Poortinga, A. Bastiaanssen, Wim G.M. Saah, D. Troy, D. Hunink, J. Klerk, M. de Rutten, M. Cutter, P. Rebelo, Lisa-Maria Ha, Lan Thanh Hessels, T. Vu, P. N. Fenn, M. Bean, B. Ganz, D. Droogers, Peter Erickson, T. Clinton, N. |
| author_browse | Bastiaanssen, Wim G.M. Bean, B. Clinton, N. Cutter, P. Droogers, Peter Erickson, T. Fenn, M. Ganz, D. Ha, Lan Thanh Hessels, T. Hunink, J. Klerk, M. de Poortinga, A. Rebelo, Lisa-Maria Rutten, M. Saah, D. Simons, G. Troy, D. Vu, P. N. |
| author_facet | Simons, G. Poortinga, A. Bastiaanssen, Wim G.M. Saah, D. Troy, D. Hunink, J. Klerk, M. de Rutten, M. Cutter, P. Rebelo, Lisa-Maria Ha, Lan Thanh Hessels, T. Vu, P. N. Fenn, M. Bean, B. Ganz, D. Droogers, Peter Erickson, T. Clinton, N. |
| author_sort | Simons, G. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | One of the ways in which the CGIAR Research Program on Water, Land and Ecosystems (WLE) addresses the challenge of achieving sustainable growth is by improving our understanding of tradeoffs and synergies related to water, food, environment and energy. Essential to the success
of these efforts is the availability of quantitative data on these tradeoffs and synergies, and how
they vary across space and time.
Specifically for the countries sharing the Mekong River, WLE Greater Mekong seeks to drive and inform research and dialogue around the rivers of the region. Hydrological EcoSystem Services (HESS) are heavily affected by intensive development across the region, such as the construction of hydropower dams and land use changes - in particular deforestation, urbanization and agricultural intensification. The full extent of such changes in the agro-ecological system is often unknown, and it is a challenge to account for tradeoffs in HESS in policy processes. As in many other areas of the world, improving governance and management of water resources and associated land and ecosystems in the Greater Mekong region is not only a matter of generating more data. Sharing of knowledge and practices is a key focus of WLE Greater Mekong, which we strive to promote by enhancing the accessibility of valuable information to a wide diversity of regional stakeholders, and promoting dialogue by facilitating the creation of communities of practice. This white paper demonstrates state-of-the-art methods for assessing different HESS and their tradeoffs under different development scenarios. It explores opportunities for spatial monitoring of HESS and predicting changes under different future scenarios, information that is essential for achieving a balanced and healthy agro-ecological system. By relying on tools in the public domain and leveraging the resulting HESS data through online information platforms, this white paper is an excellent example of current efforts supported by WLE Greater Mekong to stimulate uptake of ecosystem services assessments in decision-making processes. |
| format | Informe técnico |
| id | CGSpace90593 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | FutureWater |
| publisherStr | FutureWater |
| record_format | dspace |
| spelling | CGSpace905932025-03-11T09:50:20Z On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models Simons, G. Poortinga, A. Bastiaanssen, Wim G.M. Saah, D. Troy, D. Hunink, J. Klerk, M. de Rutten, M. Cutter, P. Rebelo, Lisa-Maria Ha, Lan Thanh Hessels, T. Vu, P. N. Fenn, M. Bean, B. Ganz, D. Droogers, Peter Erickson, T. Clinton, N. One of the ways in which the CGIAR Research Program on Water, Land and Ecosystems (WLE) addresses the challenge of achieving sustainable growth is by improving our understanding of tradeoffs and synergies related to water, food, environment and energy. Essential to the success of these efforts is the availability of quantitative data on these tradeoffs and synergies, and how they vary across space and time. Specifically for the countries sharing the Mekong River, WLE Greater Mekong seeks to drive and inform research and dialogue around the rivers of the region. Hydrological EcoSystem Services (HESS) are heavily affected by intensive development across the region, such as the construction of hydropower dams and land use changes - in particular deforestation, urbanization and agricultural intensification. The full extent of such changes in the agro-ecological system is often unknown, and it is a challenge to account for tradeoffs in HESS in policy processes. As in many other areas of the world, improving governance and management of water resources and associated land and ecosystems in the Greater Mekong region is not only a matter of generating more data. Sharing of knowledge and practices is a key focus of WLE Greater Mekong, which we strive to promote by enhancing the accessibility of valuable information to a wide diversity of regional stakeholders, and promoting dialogue by facilitating the creation of communities of practice. This white paper demonstrates state-of-the-art methods for assessing different HESS and their tradeoffs under different development scenarios. It explores opportunities for spatial monitoring of HESS and predicting changes under different future scenarios, information that is essential for achieving a balanced and healthy agro-ecological system. By relying on tools in the public domain and leveraging the resulting HESS data through online information platforms, this white paper is an excellent example of current efforts supported by WLE Greater Mekong to stimulate uptake of ecosystem services assessments in decision-making processes. 2017 2018-01-26T13:13:41Z 2018-01-26T13:13:41Z Report https://hdl.handle.net/10568/90593 en Open Access application/pdf FutureWater Simons, G.; Poortinga, A.; Bastiaanssen, W.; Saah, D.; Troy, D.; Hunink, J.; de Klerk, M.; Rutten, M.; Cutter, P.; Rebelo, Lisa-Maria; Ha, Lan Thanh; Hessels, T. ; Vu, P. N.; Fenn, M.; Bean, B.; Ganz, D.; Droogers, P.; Erickson, T.; Clinton, N. 2017. On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models .Wageningen, the Netherlands: FutureWater.. 45p. |
| spellingShingle | Simons, G. Poortinga, A. Bastiaanssen, Wim G.M. Saah, D. Troy, D. Hunink, J. Klerk, M. de Rutten, M. Cutter, P. Rebelo, Lisa-Maria Ha, Lan Thanh Hessels, T. Vu, P. N. Fenn, M. Bean, B. Ganz, D. Droogers, Peter Erickson, T. Clinton, N. On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models |
| title | On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models |
| title_full | On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models |
| title_fullStr | On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models |
| title_full_unstemmed | On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models |
| title_short | On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models |
| title_sort | on spatially distributed hydrological ecosystem services bridging the quantitative information gap using remote sensing and hydrological models |
| url | https://hdl.handle.net/10568/90593 |
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