Details
| Original language | English |
|---|---|
| Article number | 106731 |
| Journal | Ecological indicators |
| Volume | 118 |
| Early online date | 31 Jul 2020 |
| Publication status | Published - Nov 2020 |
Abstract
Although Vietnam has become the third biggest rice exporter in the world, famine is yet challenging managers in many provinces, especially in the Northern mountainous areas of Vietnam. In contrast with financial profits, formal rice supply chains have recently not provided enough food for all people in these provinces. The ecosystem service approach has the potential to give better chances to communicate with decision makers, especially with agricultural managers by raising awareness and improving understanding related to potential, flow and demand of/for rice provision. In this study, probability approaches through a Bayesian Belief Network (BBN) and statistical approaches through a Hybrid Neural-Fuzzy Inference System (S-HyFIS) were used to quantify and map the potentials of the rice provisioning ecosystem service (RPES) in the Sapa district in the Lao Cai province in northern Vietnam. In addition, various statistical data related to actual rice production, population numbers and rice consumption were collected from 1990 to 2010 to quantify the RPES flows and demands. A conceptual model depicting the relations between RPES potential, flow and demand is proposed, in which the efficiency of site selection for rice cultivation and implemented farming practices play important roles in determining RPES supply. The results indicate an ineffective use of farming practices in the 1990s and show improvements in the new millennium in the case study area. A small surplus of RPES supply was found in the whole Sapa district since the year 2003, which has been used for tourism and export purposes. At the same time, the RPES demand was unmet in six communities. To generate a better rice supply chain and to better match supplies with actual demand, parts of the surplus of RPES could be transported from service providing areas to neighboring poor communities.
Keywords
- Agriculture, Bayesian belief network, Budget, Ecosystem service supply chain, Hybrid neural-fuzzy inference system, Poverty
ASJC Scopus subject areas
- Decision Sciences(all)
- Agricultural and Biological Sciences(all)
- Ecology, Evolution, Behavior and Systematics
- Environmental Science(all)
- Ecology
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In: Ecological indicators, Vol. 118, 106731, 11.2020.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Potential, flow and demand of rice provisioning ecosystem services
T2 - Case study in Sapa district, Vietnam
AU - Dang, Kinh Bac
AU - Burkhard, Benjamin
AU - Dang, Van Bao
AU - Vu, Kim Chi
N1 - Funding Information: This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 105.06-2012.20. We are thankful to the VNU University of Science for providing all the facilities for this research, especially Mrs. Giang Tuan Linh, Dr. Hoang Thi Thu Huong for their support. We also want to thank Angie Faust for language correction. We are grateful for the time and efforts from the editors and the anonymous reviewers on improving our manuscript.
PY - 2020/11
Y1 - 2020/11
N2 - Although Vietnam has become the third biggest rice exporter in the world, famine is yet challenging managers in many provinces, especially in the Northern mountainous areas of Vietnam. In contrast with financial profits, formal rice supply chains have recently not provided enough food for all people in these provinces. The ecosystem service approach has the potential to give better chances to communicate with decision makers, especially with agricultural managers by raising awareness and improving understanding related to potential, flow and demand of/for rice provision. In this study, probability approaches through a Bayesian Belief Network (BBN) and statistical approaches through a Hybrid Neural-Fuzzy Inference System (S-HyFIS) were used to quantify and map the potentials of the rice provisioning ecosystem service (RPES) in the Sapa district in the Lao Cai province in northern Vietnam. In addition, various statistical data related to actual rice production, population numbers and rice consumption were collected from 1990 to 2010 to quantify the RPES flows and demands. A conceptual model depicting the relations between RPES potential, flow and demand is proposed, in which the efficiency of site selection for rice cultivation and implemented farming practices play important roles in determining RPES supply. The results indicate an ineffective use of farming practices in the 1990s and show improvements in the new millennium in the case study area. A small surplus of RPES supply was found in the whole Sapa district since the year 2003, which has been used for tourism and export purposes. At the same time, the RPES demand was unmet in six communities. To generate a better rice supply chain and to better match supplies with actual demand, parts of the surplus of RPES could be transported from service providing areas to neighboring poor communities.
AB - Although Vietnam has become the third biggest rice exporter in the world, famine is yet challenging managers in many provinces, especially in the Northern mountainous areas of Vietnam. In contrast with financial profits, formal rice supply chains have recently not provided enough food for all people in these provinces. The ecosystem service approach has the potential to give better chances to communicate with decision makers, especially with agricultural managers by raising awareness and improving understanding related to potential, flow and demand of/for rice provision. In this study, probability approaches through a Bayesian Belief Network (BBN) and statistical approaches through a Hybrid Neural-Fuzzy Inference System (S-HyFIS) were used to quantify and map the potentials of the rice provisioning ecosystem service (RPES) in the Sapa district in the Lao Cai province in northern Vietnam. In addition, various statistical data related to actual rice production, population numbers and rice consumption were collected from 1990 to 2010 to quantify the RPES flows and demands. A conceptual model depicting the relations between RPES potential, flow and demand is proposed, in which the efficiency of site selection for rice cultivation and implemented farming practices play important roles in determining RPES supply. The results indicate an ineffective use of farming practices in the 1990s and show improvements in the new millennium in the case study area. A small surplus of RPES supply was found in the whole Sapa district since the year 2003, which has been used for tourism and export purposes. At the same time, the RPES demand was unmet in six communities. To generate a better rice supply chain and to better match supplies with actual demand, parts of the surplus of RPES could be transported from service providing areas to neighboring poor communities.
KW - Agriculture
KW - Bayesian belief network
KW - Budget
KW - Ecosystem service supply chain
KW - Hybrid neural-fuzzy inference system
KW - Poverty
UR - http://www.scopus.com/inward/record.url?scp=85088901139&partnerID=8YFLogxK
U2 - 10.1016/j.ecolind.2020.106731
DO - 10.1016/j.ecolind.2020.106731
M3 - Article
AN - SCOPUS:85088901139
VL - 118
JO - Ecological indicators
JF - Ecological indicators
SN - 1470-160X
M1 - 106731
ER -