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Wan-Yu Lien
Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan

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Journal article
Published: 02 December 2020 in Sustainability
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To ensure that ecosystem services are included in decision-making processes, many studies have relied on expert opinions and knowledge to identify, rank, and assess willingness to pay. In this study, expert opinions according to their expertise in hydrology, ecology, and sociology were surveyed and compared in terms of (1) recognition and ranking of hydrological ecosystem services (HESs) and (2) willingness to pay for HESs. The decision-making process was also investigated, specifically the rankings of factors in experts’ plans for climate change adaptation. The experts’ recognition of and opinions concerning HESs were positively correlated at various levels with intention to pay (i.e., whether respondents were willing to pay for HESs). Most experts recognized the importance of HESs and allocated high average scores of 9.15, 8.17, and 8.41 to water yield, sediment export, and nutrient export, respectively, using a scale from 1 (least important) to 10 (most important). The percentage of sociologists (100%) exhibited greater intention to pay than those of hydrologists (70%) and ecologists (93%), respectively. Experts prioritized environmental impact over economic cost in policy decision-making, and they differed significantly by field in terms of their rankings of the functional, economic, environmental, and social considerations of decision-making. The results revealed significant differences among experts in their decision-making preferences according to their fields of knowledge. The experts of a specific study field may be more willing to pay for that than for another. Greater intellectual exchange and analysis among experts should be implemented and diverse expert opinions should be solicited in policy decision-making.

ACS Style

Li-Chun Peng; Wan-Yu Lien; Yu-Pin Lin. How Experts’ Opinions and Knowledge Affect Their Willingness to Pay for and Ranking of Hydrological Ecosystem Services. Sustainability 2020, 12, 10055 .

AMA Style

Li-Chun Peng, Wan-Yu Lien, Yu-Pin Lin. How Experts’ Opinions and Knowledge Affect Their Willingness to Pay for and Ranking of Hydrological Ecosystem Services. Sustainability. 2020; 12 (23):10055.

Chicago/Turabian Style

Li-Chun Peng; Wan-Yu Lien; Yu-Pin Lin. 2020. "How Experts’ Opinions and Knowledge Affect Their Willingness to Pay for and Ranking of Hydrological Ecosystem Services." Sustainability 12, no. 23: 10055.

Journal article
Published: 25 April 2019 in Water
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Hydrologic ecosystem services are greatly affected by the changing climate. In this study, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model was used to quantify hydrologic ecosystem services. Five general circulation models (GCMs) and two representative concentration pathways (RCPs) were selected to estimate hydrologic ecosystem services. The Local Indicators of Spatial Association (LISA) index was used to identify hydrologic ecosystem hotspots. The hotspots were used to evaluate the impact of climate change on the services. Results indicate that annual water yields vary from −17% to 8%, with significant intra-year fluctuation. Compared to baseline data, the CESM1-CAM5 predicts an increase of 45% in June, but HadGEM2-AO predicts a drop to only 12% in January. Sediment export results show a similar trend to water yield, with sediment export increasing significantly under RCP 8.5, and monthly sediment export increases concentrated from June and October. Nitrogen and phosphorous exports both show less significant changes but obvious intra-year variations. The CESM1-CAM5 predicts strong seasonal and spatial variation of the hydrologic ecosystem services. Our proposed approach successfully identifies annual and monthly hotspot spatial changes of hydrologic ecosystem services under climate change.

ACS Style

Li-Chun Peng; Yu-Pin Lin; Guan-Wei Chen; Wan-Yu Lien. Climate Change Impact on Spatiotemporal Hotspots of Hydrologic Ecosystem Services: A Case Study of Chinan Catchment, Taiwan. Water 2019, 11, 867 .

AMA Style

Li-Chun Peng, Yu-Pin Lin, Guan-Wei Chen, Wan-Yu Lien. Climate Change Impact on Spatiotemporal Hotspots of Hydrologic Ecosystem Services: A Case Study of Chinan Catchment, Taiwan. Water. 2019; 11 (4):867.

Chicago/Turabian Style

Li-Chun Peng; Yu-Pin Lin; Guan-Wei Chen; Wan-Yu Lien. 2019. "Climate Change Impact on Spatiotemporal Hotspots of Hydrologic Ecosystem Services: A Case Study of Chinan Catchment, Taiwan." Water 11, no. 4: 867.

Journal article
Published: 06 March 2019 in Sustainability
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Sustainable conservation aims to ensure the sustained conservation of landscape multi-functionality which in turn requires ensuring ecosystem service (ES) and habitat quality (HQ) sustainability with inclusive landscape-scale conservation planning. This study proposes a landscape conservation planning (LCP) framework for landscape-scale ES-HQ conservation and sustainability. Spatially explicit hotspots for five ESs and HQs are identified via InVEST and LISA software. Spatiotemporal changes in ES-HQ hotspots, in terms of stability and resilience, are delineated. The Zonation technique is applied to prioritize areas for conservation based on ES-HQ hotspot stability and resilience maps. High priority conservation areas are identified and are used as reserve area inputs for land use modeling with CLUE-S software to simulate future land use change under climate change scenarios. This study reports that varied rainfall and climate are major driving factors of ES-HQ sustainability disturbance in the study area. Furthermore, our proposed conservation Strategy 2 demonstrates that a larger extent of landscape multi-functionality can be sustained when the existing conservation area includes the total area of identified ES-HQ resilient hotspots. This study effectively identifies the stability and resiliency of ES-HQ hotspot areas affected by disturbances for high priority landscape conservation requirements to ensure ES-HQ sustainability and landscape multi-functionality in the study area.

ACS Style

Yu-Pin Lin; Chi-Ju Chen; Wan-Yu Lien; Wen-Hao Chang; Joy R. Petway; Li-Chi Chiang. Landscape Conservation Planning to Sustain Ecosystem Services under Climate Change. Sustainability 2019, 11, 1393 .

AMA Style

Yu-Pin Lin, Chi-Ju Chen, Wan-Yu Lien, Wen-Hao Chang, Joy R. Petway, Li-Chi Chiang. Landscape Conservation Planning to Sustain Ecosystem Services under Climate Change. Sustainability. 2019; 11 (5):1393.

Chicago/Turabian Style

Yu-Pin Lin; Chi-Ju Chen; Wan-Yu Lien; Wen-Hao Chang; Joy R. Petway; Li-Chi Chiang. 2019. "Landscape Conservation Planning to Sustain Ecosystem Services under Climate Change." Sustainability 11, no. 5: 1393.

Editorial
Published: 24 April 2018 in Environments
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ACS Style

Huey-Lin Lee; Yu-Pin Lin; Joy R. Petway; Josef Settele; Wan-Yu Lien. Consumption-Based Blockchain Accounting of Telecoupled Global Land Resource Debtors and Creditors. Environments 2018, 5, 51 .

AMA Style

Huey-Lin Lee, Yu-Pin Lin, Joy R. Petway, Josef Settele, Wan-Yu Lien. Consumption-Based Blockchain Accounting of Telecoupled Global Land Resource Debtors and Creditors. Environments. 2018; 5 (5):51.

Chicago/Turabian Style

Huey-Lin Lee; Yu-Pin Lin; Joy R. Petway; Josef Settele; Wan-Yu Lien. 2018. "Consumption-Based Blockchain Accounting of Telecoupled Global Land Resource Debtors and Creditors." Environments 5, no. 5: 51.

Editorial
Published: 28 February 2018 in Environments
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Note: In lieu of an abstract, this is an excerpt from the first page. Assessments may underestimate the annual global water scarcity, driven by seasonal water availability and consumption distribution heterogeneity

ACS Style

Yu-Pin Lin; Joy R. Petway; Wan-Yu Lien; Josef Settele. Blockchain with Artificial Intelligence to Efficiently Manage Water Use under Climate Change. Environments 2018, 5, 34 .

AMA Style

Yu-Pin Lin, Joy R. Petway, Wan-Yu Lien, Josef Settele. Blockchain with Artificial Intelligence to Efficiently Manage Water Use under Climate Change. Environments. 2018; 5 (3):34.

Chicago/Turabian Style

Yu-Pin Lin; Joy R. Petway; Wan-Yu Lien; Josef Settele. 2018. "Blockchain with Artificial Intelligence to Efficiently Manage Water Use under Climate Change." Environments 5, no. 3: 34.

Journal article
Published: 14 November 2017 in Environments
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The purpose of this study is to increase the number of species occurrence data by integrating opportunistic data with Global Biodiversity Information Facility (GBIF) benchmark data via a novel optimization technique. The optimization method utilizes Natural Language Processing (NLP) and a simulated annealing (SA) algorithm to maximize the average likelihood of species occurrence in maximum entropy presence-only species distribution models (SDM). We applied the Kruskal–Wallis test to assess the differences between the corresponding environmental variables and habitat suitability indices (HSI) among datasets, including data from GBIF, Facebook (FB), and data from optimally selected FB data. To quantify uncertainty in SDM predictions, and to quantify the efficacy of the proposed optimization procedure, we used a bootstrapping approach to generate 1000 subsets from five different datasets: (1) GBIF; (2) FB; (3) GBIF plus FB; (4) GBIF plus optimally selected FB; and (5) GBIF plus randomly selected FB. We compared the performance of simulated species distributions based on each of the above subsets via the area under the curve (AUC) of the receiver operating characteristic (ROC). We also performed correlation analysis between the average benchmark-based SDM outputs and the average dataset-based SDM outputs. Median AUCs of SDMs based on the dataset that combined benchmark GBIF data and optimally selected FB data were generally higher than the AUCs of other datasets, indicating the effectiveness of the optimization procedure. Our results suggest that the proposed approach increases the quality and quantity of data by effectively extracting opportunistic data from large unstructured datasets with respect to benchmark data.

ACS Style

Yu-Pin Lin; Wei-Chih Lin; Wan-Yu Lien; Johnathen Anthony; Joy R. Petway. Identifying Reliable Opportunistic Data for Species Distribution Modeling: A Benchmark Data Optimization Approach. Environments 2017, 4, 81 .

AMA Style

Yu-Pin Lin, Wei-Chih Lin, Wan-Yu Lien, Johnathen Anthony, Joy R. Petway. Identifying Reliable Opportunistic Data for Species Distribution Modeling: A Benchmark Data Optimization Approach. Environments. 2017; 4 (4):81.

Chicago/Turabian Style

Yu-Pin Lin; Wei-Chih Lin; Wan-Yu Lien; Johnathen Anthony; Joy R. Petway. 2017. "Identifying Reliable Opportunistic Data for Species Distribution Modeling: A Benchmark Data Optimization Approach." Environments 4, no. 4: 81.

Journal article
Published: 17 January 2017 in Environments
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In order to guarantee high-quality agricultural products and food safety, efforts must be made to manage and maintain healthy agricultural environments under the myriad of risks that they face. Three central system components of sustainable agricultural management schemes are real-time monitoring, decision-making, and remote access. Information and Communications Technology (ICT) systems are a convenient means of providing both these and other functions, such as wireless sensor networking, mobile phone applications, etc., to agricultural management schemes. ICT systems have significantly improved in recent years and have been widely used in many fields, including environmental monitoring and management. Moreover, ICT could benefit agricultural environment management by providing a platform for collaboration between researchers and stakeholders, thereby improving agricultural practices and environments. This article reviews and discusses the way in which ICT can efficiently improve monitoring systems and risk assessments of agricultural environment monitoring, as well as the technological and methodological improvements of ICT systems. Finally, we develop and apply an ICT system, referred to as the agricultural environment protection system—comprised of a cloud, six E-platforms, three mobile devices, automatic monitoring devices, indigenous wireless sensor nodes, and gateways in agricultural networks—to a case study in the Taoyuan irrigation district, which acts as a pilot area in Taiwan. Through the system, we use all available information from the interdisciplinary structured cloud database to classify the focal area into different agricultural environmental risk zones. We also conducted further analysis based on a hierarchical approach in order to classify the agricultural environments in the study area, to allocate additional sampling with resin packages and mobile devices, as well as to assist decision makers and stakeholders. The main contributions that the system provides include a technical innovation platform (suitable for integrating innovations), economic benefits, and societal benefits.

ACS Style

Yu-Pin Lin; Tsun-Kuo Chang; Chihhao Fan; Johnathen Anthony; Joy R. Petway; Wan-Yu Lien; Chiu-Ping Liang; Yi-Fong Ho. Applications of Information and Communication Technology for Improvements of Water and Soil Monitoring and Assessments in Agricultural Areas—A Case Study in the Taoyuan Irrigation District. Environments 2017, 4, 6 .

AMA Style

Yu-Pin Lin, Tsun-Kuo Chang, Chihhao Fan, Johnathen Anthony, Joy R. Petway, Wan-Yu Lien, Chiu-Ping Liang, Yi-Fong Ho. Applications of Information and Communication Technology for Improvements of Water and Soil Monitoring and Assessments in Agricultural Areas—A Case Study in the Taoyuan Irrigation District. Environments. 2017; 4 (1):6.

Chicago/Turabian Style

Yu-Pin Lin; Tsun-Kuo Chang; Chihhao Fan; Johnathen Anthony; Joy R. Petway; Wan-Yu Lien; Chiu-Ping Liang; Yi-Fong Ho. 2017. "Applications of Information and Communication Technology for Improvements of Water and Soil Monitoring and Assessments in Agricultural Areas—A Case Study in the Taoyuan Irrigation District." Environments 4, no. 1: 6.