MODIS detection of vegetation changes and investigation of causal factors in Poyang Lake basin, China for 2001–2015

Fan, Xingwang; Liu, Yuanbo; Tao, Jinmei; Wang, Ying; Zhou, Han

doi:10.1016/j.ecolind.2018.04.041

Cited by 22 publications

(23 citation statements)

References 49 publications

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“…For the Poyang Lake catchment, the frequent hydrological droughts (Z. Zhang et al, ; D. Zhang, Chen, et al, ) and abrupt vegetation changes (X. Fan et al, ) have aroused wide concern over the past decade, which is of high importance for water resource managers and policymakers, as they may affect various aspects of the catchment and its lake. Baseflow feedback to the global climate warming has been extreme, leading to increased flood and drought risks (Kinkela & Pearce, ; Singh, Srivastava, Abebe, & Mitra, ).…”

Section: Resultsmentioning

confidence: 99%

“…The Poyang Lake catchment is experiencing risks of climate and land use changes (X. Fan, Liu, Tao, Wang, & Zhou, 2018;Ye, Zhang, Liu, Li, & Xu, 2013) that exert substantial influence on its hydrological processes and associated baseflow conditions . Change in baseflow greatly affects the quantity and quality of the Poyang Lake water resources and considerably impacts both societal activities and the region's natural ecological environment (Li, Zhao, Yao, & Zhang, 2017 Given the importance of the baseflow in supporting the streamflow, it would be useful to estimate the baseflow to inform current and future use of water resources in the Poyang Lake catchment.…”

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confidence: 99%

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Historical and predicted variations of baseflow in China's Poyang Lake catchment

Zhang

2018

River Research & Apps

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Baseflow availability and its contribution to streamflow are critical for planning and management of catchment hydrology and ecology. This study uses a digital filtering technique, statistical methods, and hydrological projection to investigate historical and future baseflow characteristics with respect to climate and land use impacts, exemplified by the large Poyang Lake catchment (China). Digital filtering results show that annual baseflow varied between 25 × 108 and 820 × 108 m3/year for the catchment rivers during 1953–2014. The results reveal that on average 62% of the long‐term streamflow in the catchment is derived from baseflow contribution. Statistics show a generally increasing trend in the annual baseflow and baseflow index (BFI) for most of the rivers over the past 60 years, with the major frequencies varying between 5 and 20 years. Although the trends in baseflow and BFI are attributable to the combined effects of climate and land use change across the catchment, baseflow variations are expected to be more sensitive to climate than land use changes. In general, precipitation plays a dominant role in controlling baseflow and can be used as an indication of the variations in baseflow at the subcatchment scale. Hydrological projection shows that annual baseflow and BFI are likely to increase by up to 31% and 13% during 2018–2035, respectively, based on historical baseflow trends. Our results indicate that management approaches for the catchment that consider groundwater and surface water as a joint resource will be needed to effectively manage the current and future river regime, its water resources, and water quality.

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

Historical and predicted variations of baseflow in China's Poyang Lake catchment

Zhang

2018

River Research & Apps

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“…Water surface area can vary from less than 1000 km 2 in winter during the dry season to over 3000 km 2 in summer during the wet season. The climate condition benefits vegetation development in this shallow lake [54]. As a result, a unique lake-vegetation system exists (Figure 1), posing a challenge for accurate lake surface mapping.…”

Section: Study Areamentioning

confidence: 99%

Compositing the Minimum NDVI for Daily Water Surface Mapping

Fan

Liu

et al. 2020

Remote Sensing

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Capturing high frequency water surface dynamics via optical remote sensing is important for understanding hydro-ecological processes over seasonally flooded wetlands. However, it is a difficult task due to the presence of clouds on satellite images. This study proposed the MODerate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) Minimum Value Composite (MinVC) algorithm to generate daily water surface data at a 250-m resolution. The algorithm selected pixelwise minimum values from the combined daily Terra and Aqua MODIS NDVI data within a 15-day moving window. Consisting mainly of cloud and water surface information, the MinVC NDVI data were segmented for water surfaces over the Poyang Lake, China (2000–2017) by using an edge detection model. The water surface mapping result was strongly correlated with the Landsat based result (R2 = 0.914, root mean square error, RMSE = 223.7 km2), the cloud free MODIS image based result (R2 = 0.824, RMSE = 356.7 km2), the recent Landsat-MODIS image fusion based result (R2 = 0.765, RMSE = 403 km2), and the hydrodynamic modeling result (R2 = 0.799). Compared to the equivalent eight-day MOD13 NDVI based on the Constraint View-Angle Maximum Value Composite (CV-MVC) algorithm, the daily MinVC NDVI highlighted water bodies by generating spatially homogenous water surface information. Consequently, the algorithm provided spatially and temporally continuous data for calculating water submersion times and trends in water surface area, which contribute to a better understanding of hydro-ecological processes over seasonally flooded wetlands. Within the framework of sensor intercalibration, the algorithm can be extended to incorporate multiple sensor data for improved water surface mapping.

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“…Located in Poyang Lake, one of the largest freshwater lakes in China and the biggest ecological wetland in Asia, PLR plays an important role in safeguarding the ecological environment and protecting biodiversity [17]. However, in recent years, pollution from livestock production has caused accelerated environmental deterioration in this region, such as eutrophication, water quality decline, and biodiversity losses [18]. Advancing farmers' adoption of SMTTs in this region is a significant way towards environmental sustainability.…”

Section: Study Sitementioning

confidence: 99%

Adoption of Multiple Sustainable Manure Treatment Technologies by Pig Farmers in Rural China: A Case Study of Poyang Lake Region

et al. 2019

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The adoption of sustainable manure treatment technologies (SMTTs) in livestock production helps to reduce agricultural contamination. As such, understanding what determines farmers’ adoption of SMTTs is an essential prerequisite for the administrative handling of livestock pollution. Applying a multivariate probit model on a cross-sectional data set of 686 pig farmers in Poyang Lake Region in China, this study discovered that two key factors influencing farmers’ decisions to adopt multiple SMTTs are off-farm labor and environmental awareness. In other words, households with a higher share of off-farm labor are less likely to adopt SMTTs. Farmers with higher environmental awareness are more likely to adopt SMTTs. The results also revealed that because of the inappropriateness of government subsidy and insufficient technical training, the impact of Chinese government subsidy on the adoption of biogas technology is negligible, but the subsidy on composting greatly helps to promote the adoption of composting technology. We also found a substitution effect and complementary effects between different SMTTs. These findings can improve policymakers’ understanding of farmers’ joint adoption decisions. It also helps policymakers to optimize subsidy strategies to encourage farmers’ adoption of SMTTs in rural China.

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MODIS detection of vegetation changes and investigation of causal factors in Poyang Lake basin, China for 2001–2015

Cited by 22 publications

References 49 publications

Historical and predicted variations of baseflow in China's Poyang Lake catchment

Historical and predicted variations of baseflow in China's Poyang Lake catchment

Compositing the Minimum NDVI for Daily Water Surface Mapping

Adoption of Multiple Sustainable Manure Treatment Technologies by Pig Farmers in Rural China: A Case Study of Poyang Lake Region

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