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Keywords = PES like schemes

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24 pages, 10913 KB  
Article
Single-Lead ECG Arrhythmia Classification Based on Peak-Enhanced Attention Network and Quality-Aware GAN Data Augmentation Framework
by Yaoyu Zhang and Yi Xia
Sensors 2026, 26(12), 3852; https://doi.org/10.3390/s26123852 - 17 Jun 2026
Viewed by 204
Abstract
Single-lead electrocardiogram (ECG) is widely used in wearable devices for atrial fibrillation (AF) screening. Nevertheless, subtle pathological characteristics like P-waves and f-waves in practical signals are vulnerable to noise contamination. Meanwhile, the scarcity of high-quality annotated abnormal data instances leads to severe class [...] Read more.
Single-lead electrocardiogram (ECG) is widely used in wearable devices for atrial fibrillation (AF) screening. Nevertheless, subtle pathological characteristics like P-waves and f-waves in practical signals are vulnerable to noise contamination. Meanwhile, the scarcity of high-quality annotated abnormal data instances leads to severe class imbalance. To mitigate these issues, we present an end-to-end framework designed for arrhythmia diagnosis using single-lead ECG signals, which integrates quality-aware data augmentation with a Peak-Enhanced attention mechanism. First, to mitigate the problem of data imbalance, a Quality-Aware Generative Adversarial Network (QA-GAN) is designed. This network integrates a signal quality evaluation module based on signal kurtosis, together with a dynamic soft-label training scheme, guiding the generator to prioritize learning high-quality morphological features, thereby synthesizing high-fidelity minority class samples. Second, to accurately capture subtle pathological features in electrocardiograms, a Peak-Enhanced Attention Convolutional Network (PEAC-Net) classification model is proposed. This model incorporates a Peak-Enhanced Attention (PE-Att) module, which employs learnable derivative convolutional kernels to precisely identify the transition points in the ECG signal. Furthermore, by integrating one-dimensional multi-scale dilated convolution (DSGC1D) with bidirectional LSTM, the model achieves effective capturing of both fine-grained local morphological features and long-range global rhythm patterns. Experimental results on the PhysioNet 2017 dataset indicate that the presented model attains an accuracy of 0.902 and a macro-F1 score of 0.880, respectively, outperforming other state-of-the-art models and also exhibiting robust data adaptability on the MIT-BIH dataset. Full article
(This article belongs to the Special Issue Challenges and Future Trends in Biomedical Signal Processing)
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17 pages, 2479 KB  
Article
Socio-Hydrological Approach for Water Resource Management and Human Well-Being in Pinglin District, Taiwan
by Tasi-Jung Jiang, Pankaj Kumar, Herlin Chien and Osamu Saito
Water 2023, 15(18), 3302; https://doi.org/10.3390/w15183302 - 19 Sep 2023
Cited by 1 | Viewed by 3884
Abstract
Despite being a limited resource, pollution, poor management, and other drivers like climate change make available water unsuitable and insufficient for human consumption and ecosystem maintenance. Therefore, a transdisciplinary approach is needed for managing this precious resource. The overall aim of this paper [...] Read more.
Despite being a limited resource, pollution, poor management, and other drivers like climate change make available water unsuitable and insufficient for human consumption and ecosystem maintenance. Therefore, a transdisciplinary approach is needed for managing this precious resource. The overall aim of this paper is to address water inequalities and improve human well-being using an integrated approach of key informant interviews, hydrological modeling, and the payment of ecosystem services (PES) scheme in Pinglin District, Taiwan. This site is an upstream area of Feicui Reservoir, which protects the downstream tap water supply. Key informant interviews were conducted to identify the gaps in and challenges to water resource management. This was followed by a scenario-based hydrological simulation using a Water Evaluation and Planning (WEAP) tool to project future water quality by the year 2050 (using biochemical oxygen demand and total coliform content as key indicator parameters) and to trace the factors responsible for water pollution. Survey analysis of key informant interviews depicts that this area is facing several challenges, such as lack of water infrastructure, agricultural subsidy, construction restrictions, etc., which cumulatively cause water scarcity in the upstream regions. On the other hand, hydrological simulation results show that population decline and climate change under an RCP 8.5 scenario will have an enormous negative impact on water quality. The concentrations of BOD and E. coli in river water will expand by 110.1% and 117.3%, respectively, by 2050 compared to 2018. Finally, the results of the study suggest that the PES scheme can play a positive role in enabling integrated water resource management. For example construction of a small-scale wastewater treatment plant in the upstream area will reduce the total E. coli concentration by up to 90%. While the initial cost of construction will be taken care of by the government, the operation and management cost of this infrastructure will be covered by people living downstream, who need to pay only $0.10 per year per person. The obtained results should be vital for both the stakeholders and decision-makers in this region. Full article
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17 pages, 5294 KB  
Article
Predicting Climate Change Impact on Water Productivity of Irrigated Rice in Malaysia Using FAO-AquaCrop Model
by Abdusslam A. Houma, Md Rowshon Kamal, Md Abdul Mojid, Mohamed Azwan Mohamed Zawawi and Balqis Mohamed Rehan
Appl. Sci. 2021, 11(23), 11253; https://doi.org/10.3390/app112311253 - 26 Nov 2021
Cited by 7 | Viewed by 4453
Abstract
Water productivity (WP) is a key indicator of agricultural water management, since it affects the quantity of water used for crop yield in various management scenarios. This study evaluated the WP of irrigated rice due to a changing climate in the Northwest Selangor [...] Read more.
Water productivity (WP) is a key indicator of agricultural water management, since it affects the quantity of water used for crop yield in various management scenarios. This study evaluated the WP of irrigated rice due to a changing climate in the Northwest Selangor Rice Irrigation Scheme (NSRIS) by using field experimental data and the FAO-AquaCrop Model. Pertinent soil, water, climate, and crop data were acquired by executing a field investigation during the off-season (dry season, January–April) and main season (wet season, July–October) in 2017. The AquaCrop 6.0 model was calibrated and validated using the measured data. A Climate-smart Decision Support System (CSDSS) with an ensemble of 10 Global Climate Models (GCMs) was used to downscale climate variables under RCP4.5, RCP6.0, and RCP8.5 emission scenarios during baseline (1976 to 2005) and future (2020 to 2099) periods. The AquaCrop model fairly predicted rice yields under field conditions with root-mean-square error (RMSE), mean absolute error (MAE), prediction error (PE) and index of agreement (d) between the observed and estimated yields of 0.173, 0.157, −0.31 to 5.4 and 0.78, respectively for the off-season; and 0.167, 0.127, −5.6 to 2.3 and 0.73, respectively for the main season. It predicted a 10% decrease in actual crop evapotranspiration (ETc) in both crop seasons in the future. The WP of rice based on total water input (WPIrr+RF), applied irrigation (WPIrr), and actual crop evapotranspiration (WPETc) will likely increase by 14–24%, 14–19%, and 17–29%, respectively under the three RCP emission scenarios in the off-season. The likely increase in WP for the corresponding base is 13–22%, 15–24%, and 14–25% in the main season. Various agronomic management options linked to WP will most likely become important in making crucial decisions to cope with the risk of impacts on climate change. Full article
(This article belongs to the Section Agricultural Science and Technology)
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18 pages, 2189 KB  
Article
An Agent-Based Sustainability Perspective on Payment for Ecosystem Services: Analytical Framework and Empirical Application
by Zhenglei Xie, Bing-Bing Zhou, Hanzeyu Xu, Le Zhang and Jing Wang
Sustainability 2021, 13(1), 253; https://doi.org/10.3390/su13010253 - 29 Dec 2020
Cited by 7 | Viewed by 3214
Abstract
Payment for Ecosystem Services (PES), a market-based policy instrument for the conservation and environmental management that aims to coordinate the interests of upstream and downstream ecosystem service (ES) stakeholders, has been adopted worldwide. However, the success of PES depends on the desirability of [...] Read more.
Payment for Ecosystem Services (PES), a market-based policy instrument for the conservation and environmental management that aims to coordinate the interests of upstream and downstream ecosystem service (ES) stakeholders, has been adopted worldwide. However, the success of PES depends on the desirability of programs targeting rural communities and smallholders. In this article, an agent-based sustainability perspective on PES was proposed and applied to examine a PES case study of the Converting-Orchard-to-Forest (COF) project in Dongjiang Headwater Watershed (DHW). We used household interview-based information and associated secondary data to quantitatively assess the environmental consequences and livelihood impacts of the COF project. The findings show that: (1) the COF participants at the upstream suffered from substantial income loss due to decreased orchard area; (2) the participants’ chemical fertilizer and compound fertilizer consumption was larger than their nonparticipating counterparts; and (3) the COF participants and nonparticipants increased the material assets and reduced their fuelwood use and increased the liquefied petroleum gas. Our findings suggest that, because of the significant income loss experienced by the upstream participants, the COF program is unsustainable with the participants very likely to cultivate the orchard again once the COF project ends. The research provides insightful information regarding PES implementation and sustainability of similar PES schemes. Full article
(This article belongs to the Section Environmental Sustainability and Applications)
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27 pages, 1023 KB  
Article
Water-Related Payment Schemes for Forest Ecosystem Services in Selected Southeast European (SEE) Countries
by Dijana Vuletić, Silvija Krajter Ostoić, Ljiljana Keča, Mersudin Avdibegović, Kristina Potočki, Stjepan Posavec, Aleksandar Marković and Špela Pezdevšek Malovrh
Forests 2020, 11(6), 654; https://doi.org/10.3390/f11060654 - 8 Jun 2020
Cited by 14 | Viewed by 4756
Abstract
This paper examines the level of payment for ecosystem services (PES) concept implementation in the financing of water-related forest ecosystem services (ES) in the Republic of Croatia, the Federation of Bosnia and Herzegovina (FB&H), the Republic of Slovenia, and the Republic of Serbia. [...] Read more.
This paper examines the level of payment for ecosystem services (PES) concept implementation in the financing of water-related forest ecosystem services (ES) in the Republic of Croatia, the Federation of Bosnia and Herzegovina (FB&H), the Republic of Slovenia, and the Republic of Serbia. The focus is on water-related forest ES recognised by the millennium ecosystem assessment (MEA). For the purpose of this paper, the term pure PES describes schemes that comply to all five conditions set by Wunder definition and term PES like for those schemes that miss some of those conditions. In the first step, the most important legislative documents related to forests, water, and environmental protection were selected. The second consists of a content analysis; focusing on the definition of ES; the definition of fees or payments; the establishment of ‘forest funds’, ‘water funds’, or ‘environmental funds’; and the way these funds were spent. Here we looked at the flow of funding into the forestry sector recognising forest management as the main water-related forest ES provider. Research revealed existence of well-established payments schemes in forestry in Croatia for almost 30 years and in FB&H for some 20 years which were assessed as closest to pure PES. In Serbia and Slovenia, there were no PES or PES like schemes in the forestry sector. In the water sector the well-established PES like payments schemes existing in all four countries. The environmental protection sector, however, rely more on the tax like rather than on the PES like schemes. Legislation in general recognised the link between forests and water, but this was much more evident in the forestry than in the water or environment sector. The role of the state is strongly pronounced in all countries studied, and was the main driving force behind all payments. However, this position of the state represents also the main obstacle for the development of pure PES schemes, together with underdeveloped private forestry and complex socio-economic conditions. Nevertheless, there is room for further development of pure PES and PES like schemes based on EU or global experiences. Full article
(This article belongs to the Special Issue Assessing, Valuing and Mapping Ecosystem Services)
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27 pages, 1005 KB  
Article
Does Poverty Matter in Payment for Ecosystem Services Program? Participation in the New Stage Sloping Land Conversion Program
by Linjing Ren, Jie Li, Cong Li, Shuzhuo Li and Gretchen C. Daily
Sustainability 2018, 10(6), 1888; https://doi.org/10.3390/su10061888 - 5 Jun 2018
Cited by 14 | Viewed by 4979
Abstract
Poverty is increasingly stressed in Payment for Ecosystem Services (PES) schemes, from targeting to outcomes. As the world’s largest PES scheme of its kind, the Sloping Land Conversion Program in China started its new stage (NSLCP), aiming to convert another 2.9 million ha [...] Read more.
Poverty is increasingly stressed in Payment for Ecosystem Services (PES) schemes, from targeting to outcomes. As the world’s largest PES scheme of its kind, the Sloping Land Conversion Program in China started its new stage (NSLCP), aiming to convert another 2.9 million ha sloping croplands into forest or grasslands. This paper examines whether and to what extent different dimensions of poverty impact households’ participation in the NSLCP. By using the data collected from a key demonstration area, Wuqi County in 2015, based on Sen’s capability theory, we measure the multidimensional poverty of the households, like poverty in education, physical health, food security, rights, assets and living standards. Then, we evaluate the effects of different poverty dimensions on households’ participation in the NSLCP and their efforts to comply with the policy. We find that different dimensions of poverty had very different impacts, as revealed in the participating rate and the intensity of efforts to manage the enrolled lands through different methods. The households with poverty in education, food security, or rights were less likely to be enrolled in the NSLCP. Dimensions like income, health and assets were significant contributions to fulfill the practices required by the NSLCP. Besides, the degree of multidimensional poverty further weakened households’ efforts to manage and protect the trees on enrolled lands. Full article
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20 pages, 6316 KB  
Article
Identifying Green Infrastructure as a Basis for an Incentive Mechanism at the Municipality Level in Biscay (Basque Country)
by Gloria Rodríguez-Loinaz, Lorena Peña, Igone Palacios-Agundez, Ibone Ametzaga and Miren Onaindia
Forests 2018, 9(1), 22; https://doi.org/10.3390/f9010022 - 10 Jan 2018
Cited by 11 | Viewed by 6491
Abstract
The contributions of green infrastructure (GI) to human well-being have been widely recognised; however, pathways for its systematic implementation are missing. Local governments can play a crucial role in the conservation of GI, and a formal recognition of this role in budgeting systems [...] Read more.
The contributions of green infrastructure (GI) to human well-being have been widely recognised; however, pathways for its systematic implementation are missing. Local governments can play a crucial role in the conservation of GI, and a formal recognition of this role in budgeting systems would foster the inclusion of GI in their agenda. The aim of this study is to identify the principal components of GI at the local level to form a basis for a compensatory economic scheme. We identified the principal components of GI based on the mapping of biodiversity conservation and ecosystem services provision. Furthermore, we analysed the potentiality of an incentive mechanism to promote GI based on the protection status of GI. Finally, an incentive mechanism to promote GI at the municipality level was proposed. The results showed that the GI of Biscay is mainly composed of the natural forests presented in the area, and that 50% of the principal components of the GI are not protected. Furthermore, one third of the protected principal components of the GI only has protection at the municipality level. So, we propose a Payment for Ecosystem Services (PES)-like scheme at the municipality level based on the cover of natural forests, where the objective is the conservation and promotion of the GI. Full article
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