scholarly journals Distribution modeling of Rafflesia schadenbergiana and Rafflesia consueloea using multi criteria decision analysis-analytical hierarchy process in GIS

2021 ◽  
Vol 8 (4) ◽  
pp. 2903-2909
Author(s):  
Menzuela Hidalgo Ancheta
Keyword(s):  
Habitat Suitability ◽  
Anthropogenic Activities ◽  
Pairwise Comparison ◽  
Optimal Growth ◽  
Comparison Method ◽  
The Philippines ◽  
Annual Rainfall ◽  
Extensive Literature ◽  
The Subject ◽  
Criterion Setting

The identification of potential habitats of the largest and smallest flowering parasitic Rafflesia in the Philippines is a prerequisite in conservation of species and preservation of their habitats which have been being degraded due to anthropogenic activities and climate change. This research aimed at revealing the possible habitat suitability for Rafflesia schadenbergiana Göppert ex Hieron and Rafflesia consueloae Galindon, Ong Fernando throughout the Philippines using Geographic Information Systems (GIS). The selection criteria in this research were based on four parameters (elevation, annual rainfall, temperature, and land use / land classification) identified during the extensive literature review. The generated map shows that the optimal growth of the Rafflesia schadenbergiana can be observed with a temperature range of 20–22°C while Rafflesia consueloae can thrive within 24°C to 25°C. The importance of these criteria was evaluated using a pairwise comparison method and the final weight was computed for each criterion. Setting up of the values suiting the subject species was followed by weighted overlay analysis. The final output is the distribution and habitat suitability of the subject species.

scholarly journals Anticipated climate changes reveal shifting in habitat suitability of high-altitude selaginellas in Java, Indonesia

2020 ◽  
Vol 21 (11) ◽  
Author(s):  
AHMAD DWI SETYAWAN ◽  
Jatna Supriatna ◽  
Nisyawati ◽  
Ilyas Nursamsi ◽  
SUTARNO SUTARNO ◽  
...  
Keyword(s):  
High Altitude ◽  
Habitat Suitability ◽  
Climate Changes ◽  
Anthropogenic Activities ◽  
Annual Rainfall ◽  
Suitable Habitat ◽  
Distribution Models ◽  
Climate Conditions ◽  
Presence Data ◽  
Pessimistic Scenario

Abstract. Setyawan AD, Supriatna J, Nisyawati, Nursamsi I, Sutarno, Sugiyarto, Sunarto, Pradan P, Budiharta S, Pitoyo A, Suhardono S, Setyono P, Indrawan M. 2020. Anticipated climate changes reveal shifting in habitat suitability of high-altitude selaginellas in Java, Indonesia. Biodiversitas 21: 5482-5497. High-altitude ecosystems with humid and cool climate are the preferred habitat for some Selaginella species (selaginellas). Such habitats are available in Java, Indonesia, which also has fertile soils with rich mineral contents resulted from volcanic activities. However, the high-altitude ecosystems in Java are threatened by various anthropogenic activities as well as changes in climate conditions, potentially affecting some Selaginella species. This study aimed to investigate the shift in suitable habitat of four species of high-altitude Selaginella spp. (Selaginella involvens, S. opaca, S. ornata, and S. remotifolia) in Java Island under current and future climate conditions predicted by several representative greenhouse gas concentration pathways. Presence data of Selaginella localities were collected from field survey between 2007 and 2014 across the island, as well as occurrence points from the Global Biodiversity Information Facility database. A total of 1,721 occurrence points data along with environmental and climate data were used to develop species distribution models using MaxEnt. Future habitat distributions were projected under four climate scenarios to see the shift in suitable habitat and altitudinal ranges. The results showed that the distribution of the four high-altitude Selaginella species are strongly influenced by altitude, annual average temperature, and annual rainfall. In the present time, 37.32% (48,974 km2) of the area of Java has been predicted to be suitable for high-altitude Selaginella. Under the optimistic climate scenario (RCP 2.6), the highly suitable area will likely to decrease by almost 35% in the year 2080, whereas the medium and low suitable areas will reduce by about 37.2% and 18.3%, respectively. Under the pessimistic scenario (RCP 8.5), about 21.2% of low suitable areas will be lost in 2080, whereas the medium and highly suitable areas are predicted to decrease by around 38.1% and 33.4%, respectively. Under the pessimistic scenario, there will be upward shift by 51.1 m in the year 2030 from the current’s mean altitude and will shift by almost 150 m in the year 2080. The maximum altitude of predicted suitable habitat is also predicted to increase to reach almost 3500 m asl in the year 2080. The results of this study imply that habitat shift of four high-altitude Selaginella species varies depending on the scenario, but in all cases, the losses are greater than gains.

Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems

2018 ◽  
pp. 45-51
Author(s):  
A. V. Ponomarev
Keyword(s):  
Large Scale ◽  
Wide Spectrum ◽  
Preference Relation ◽  
Pairwise Comparison ◽  
Ground Truth ◽  
Comparison Method ◽  
Characteristic Matrix ◽  
Image Tagging ◽  
Proposed Model

Introduction: Large-scale human-computer systems involving people of various skills and motivation into the information processing process are currently used in a wide spectrum of applications. An acute problem in such systems is assessing the expected quality of each contributor; for example, in order to penalize incompetent or inaccurate ones and to promote diligent ones.Purpose: To develop a method of assessing the expected contributor’s quality in community tagging systems. This method should only use generally unreliable and incomplete information provided by contributors (with ground truth tags unknown).Results:A mathematical model is proposed for community image tagging (including the model of a contributor), along with a method of assessing the expected contributor’s quality. The method is based on comparing tag sets provided by different contributors for the same images, being a modification of pairwise comparison method with preference relation replaced by a special domination characteristic. Expected contributors’ quality is evaluated as a positive eigenvector of a pairwise domination characteristic matrix. Community tagging simulation has confirmed that the proposed method allows you to adequately estimate the expected quality of community tagging system contributors (provided that the contributors' behavior fits the proposed model).Practical relevance: The obtained results can be used in the development of systems based on coordinated efforts of community (primarily, community tagging systems). 

scholarly journals A Bioclimate-Based Maximum Entropy Model for Comperiella calauanica Barrion, Almarinez and Amalin (Hymenoptera: Encyrtidae) in the Philippines

Insects ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 26
Author(s):  
Billy Joel M. Almarinez ◽  
Mary Jane A. Fadri ◽  
Richard Lasina ◽  
Mary Angelique A. Tavera ◽  
Thaddeus M. Carvajal ◽  
...  
Keyword(s):  
Maximum Entropy ◽  
Habitat Suitability ◽  
Species Distribution Model ◽  
Biological Control Agent ◽  
The Philippines ◽  
Distribution Model ◽  
Field Surveys ◽  
Probability Of Occurrence ◽  
Precipitation Seasonality ◽  
Bioclimatic Variables

Comperiella calauanica is a host-specific endoparasitoid and effective biological control agent of the diaspidid Aspidiotus rigidus, whose outbreak from 2010 to 2015 severely threatened the coconut industry in the Philippines. Using the maximum entropy (Maxent) algorithm, we developed a species distribution model (SDM) for C. calauanica based on 19 bioclimatic variables, using occurrence data obtained mostly from field surveys conducted in A. rigidus-infested areas in Luzon Island from 2014 to 2016. The calculated the area under the ROC curve (AUC) values for the model were very high (0.966, standard deviation = 0.005), indicating the model’s high predictive power. Precipitation seasonality was found to have the highest relative contribution to model development. Response curves produced by Maxent suggested the positive influence of mean temperature of the driest quarter, and negative influence of precipitation of the driest and coldest quarters on habitat suitability. Given that C. calauanica has been found to always occur with A. rigidus in Luzon Island due to high host-specificity, the SDM for the parasitoid may also be considered and used as a predictive model for its host. This was confirmed through field surveys conducted between late 2016 and early 2018, which found and confirmed the occurrence of A. rigidus in three areas predicted by the SDM to have moderate to high habitat suitability or probability of occurrence of C. calauanica: Zamboanga City in Mindanao; Isabela City in Basilan Island; and Tablas Island in Romblon. This validation in the field demonstrated the utility of the bioclimate-based SDM for C. calauanica in predicting habitat suitability or probability of occurrence of A. rigidus in the Philippines.

scholarly journals Sustainable Business Model Innovations in the Value Uncaptured Manufacturing Industry: Fitting Gains—Gain Creators

2021 ◽  
Vol 13 (10) ◽  
pp. 5647
Author(s):  
Burhan ◽  
Udisubakti Ciptomulyono ◽  
Moses Singgih ◽  
Imam Baihaqi
Keyword(s):  
Business Model ◽  
Environmental Quality ◽  
Manufacturing Industry ◽  
Design Method ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Value Proposition ◽  
Sustainable Business ◽  
Sustainability Index ◽  
Index Matrix

Increased manufacturing activity has an impact on environmental quality degradation. Waste generated from manufacturing activities is one of the causes. Previous studies have referred to this waste as value uncaptured. Minimizing value uncaptured is a solution to improve environmental quality. This study aims to reduce value uncaptured by converting it into value captured. This process requires a value proposition design approach because of its advantages. One of the advantages of this approach is that it can improve existing or future products/services. To do so, this research uses a case study of a furniture company. To implement a converting process, a sustainable business model is proposed to solve this problem. This business model combines several methods: value proposition design, house of value and the product sustainability index matrix. Recently, the existing value proposition problem-solving has been using the value proposition design method. This research proposed implementing a house of value to replace the fitting process. The questionnaire is developed to obtain various value uncaptured in the company. To the weight of the value uncaptured, this research utilized the pairwise comparison method. Then, the weights could represent the importance of jobs. Based on the highest weight of these jobs, the alternative gains would be selected. To provide the weight of the gain creators and value captured, the house of value method is developed. Referring to three pillars of sustainability, the value captured should be considered. This research proposed implementing a product sustainability index which in turn produces eco-friendly products. This study produces “eco-friendly products” as sustainability value captured. The sustainability business model could be an alternative policy to minimize the existence of value uncaptured.

Crowdsourcing the Evaluation of Design Concepts With Empathic Priming

2016 ◽  
Author(s):  
Michelle A. Pang ◽  
Carolyn C. Seepersad
Keyword(s):  
Rating Scales ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Ease Of Use ◽  
Primary Study ◽  
Design Concepts ◽  
The Impact ◽  
Further Development ◽  
Similar Evaluation ◽  
Insight Into

The evaluation of design concepts is a time consuming and resource intensive process. Crowdsourcing evaluations has been examined in previous work as a means to reduce the need for expert raters, while achieving similar evaluation results. This paper examines the impact of empathically priming novice raters on their evaluation of alternative design concepts. The rating system is based on a pairwise comparison method that requires minimal training of novice raters. In a pilot study the pairwise method for crowdsourcing evaluations is compared with crowdsourced evaluations using non-pairwise rating scales and with the evaluations of expert raters. The primary study incorporates written and empathic priming strategies to determine their impact on novice raters’ evaluation of concepts. Raters are asked to consider several criteria, including novelty, feasibility, clarity (of the concept), usefulness, ease of use, and overall worthiness of further development. Results offer insight into the criteria that are most relevant to novice raters and whether empathic priming has a significant effect on those evaluations.

III. On the structure of a species of millepora occurring at Tahiti, Society Islands

1877 ◽  
Vol 167 ◽  
pp. 117-135 ◽  
Keyword(s):  
Royal Society ◽  
The Philippines ◽  
Yellow Colour ◽  
Short Account ◽  
Society Islands ◽  
Bright Yellow ◽  
The Subject

In a paper treating mainly on the structure of the Heliopora cœrulea , which was communicated to the Royal Society in the autumn of last year (1875), I gave a short account of the results at which I had arrived from the examination of two species of Millepora obtained at Bermuda and at the Philippines, and expressed my intention of further prosecuting the subject at the Sandwich Islands and Tahiti, should material be forthcoming. At Honolulu no Millepora was met with; and this form apparently does not occur at the Sandwich Islands, the water being too cold for it. At Tahiti a Millepora is very abundant on the reefs in from one to two feet of water, and is very conspicuous because of its bright yellow colour.

scholarly journals How Blue Carbon Ecosystems Are Perceived by Local Communities in the Coral Triangle: Comparative and Empirical Examinations in the Philippines and Indonesia

2020 ◽  
Vol 13 (1) ◽  
pp. 127
Author(s):  
Jay Mar D. Quevedo ◽  
Yuta Uchiyama ◽  
Kevin Muhamad Lukman ◽  
Ryo Kohsaka
Keyword(s):  
Global Climate ◽  
Anthropogenic Activities ◽  
Local Level ◽  
Management Strategies ◽  
The Philippines ◽  
Local Communities ◽  
Blue Carbon ◽  
Utilization Rate ◽  
Coral Triangle ◽  
Factors Affecting

Blue carbon ecosystem (BCE) initiatives in the Coral Triangle Region (CTR) are increasing due to their amplified recognition in mitigating global climate change. Although transdisciplinary approaches in the “blue carbon” discourse and collaborative actions are gaining momentum in the international and national arenas, more work is still needed at the local level. The study pursues how BCE initiatives permeate through the local communities in the Philippines and Indonesia, as part of CTR. Using perception surveys, the coastal residents from Busuanga, Philippines, and Karimunjawa, Indonesia were interviewed on their awareness, utilization, perceived threats, and management strategies for BCEs. Potential factors affecting residents’ perceptions were explored using multivariate regression and correlation analyses. Also, a comparative analysis was done to determine distinctions and commonalities in perceptions as influenced by site-specific scenarios. Results show that, despite respondents presenting relatively high awareness of BCE services, levels of utilization are low with 42.9–92.9% and 23.4–85.1% respondents in Busuanga and Karimunjawa, respectively, not directly utilizing BCE resources. Regression analysis showed that respondents’ occupation significantly influenced their utilization rate and observed opposite correlations in Busuanga (positive) and Karimunjawa (negative). Perceived threats are found to be driven by personal experiences—occurrence of natural disasters in Busuanga whereas discerned anthropogenic activities (i.e., land-use conversion) in Karimunjawa. Meanwhile, recognized management strategies are influenced by the strong presence of relevant agencies like non-government and people’s organizations in Busuanga and the local government in Karimunjawa. These results can be translated as useful metrics in contextualizing and/or enhancing BCE management plans specifically in strategizing advocacy campaigns and engagement of local stakeholders across the CTR.

scholarly journals Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach

2021 ◽  
Vol 13 (22) ◽  
pp. 12743
Author(s):  
Muhammad Hamza Naseem ◽  
Jiaqi Yang ◽  
Ziquan Xiang
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Reverse Logistics ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Fuzzy Topsis ◽  
Extensive Literature ◽  
Forward Logistics ◽  
Reverse Logistics Management ◽  
Topsis Approach

In the past few years, reverse logistics practices have successfully managed to gain more attention in various industries and among supply chain researchers and experts. This is due to globalization, environmental concerns, and customer requirements, which have asserted industries’ concerns for reverse logistics management. In E-commerce, the process of reverse logistics originates with parcel refusal, undelivered goods, and exchanges. In developing countries like Pakistan, the adoption and implications of reverse logistics are still at their early stages. E-commerce companies give more attention to forward logistics and ignore logistics’ upstream flow in the supply chain. This study aims to identify, as well as list, the barriers and obtain the solutions to those identified barriers, and rank the barriers and their solutions so that logisticians and experts can solve them as per their priority. From the extensive literature review and experts’ opinions, we have found 14 barriers in implementing effective reverse logistics. Eight solutions to those barriers were also found from the literature review. This paper proposed the methodology based on fuzzy analytical hierarchy process (fuzzy-AHP), which used to get the weights of each barrier by using pairwise comparison, and fuzzy technique for order performance by similarity to ideal solution (fuzzy-TOPSIS) method, which was adopted for the final ranking of solutions to reverse logistics. The case of the Pakistan E-commerce industry is used in the proposed method.

scholarly journals Insights on the impact of telecommunication companies on the environment

2020 ◽  
Vol 14 (1) ◽  
pp. 202-213
Author(s):  
Ioana-Miruna Tătaru ◽  
Elena Fleacă ◽  
Bogdan Fleacă
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Organizational Processes ◽  
Gas Emissions ◽  
Telecommunication Company ◽  
Telecommunication Companies ◽  
The Impact

AbstractTo perform their business operations, telecommunication companies need to consume energy. This paper aims to analyze and compare the energy consumption and their greenhouse gas emissions for there of the biggest telecommunication companies: Vodafone, Orange and Telekom. Although the scientific literature proposed some analysis on the environmental measures that the telecommunication companies have to take, there is a shortage of researchers focused on GRI reporting data and the pairwise comparison method. The authors compared these telecommunication companies’ emissions under the following criteria: energy consumption (GRI 302-1), scope 1 (GRI 305-1), scope 2 (GRI 305-2) and scope 3 (GRI 305-3) greenhouse gas emissions, reduction of emissions (GRI 305-5), using the pairwise comparison method. To reduce their emissions, companies developed a sustainability strategy. This paper will further emphasize what are the plans to reduce emissions for the company which, following the analysis, pollutes the most. To provide an overview of the future of the company which, by the analysis, pollutes the most, the authors have identified and analyzed what are the main actions that the company should take to reduce their impact on the environment. To do so, the authors firstly analyze the causes of the pollution produced by the telecommunication company using Ishikawa diagram. Then, it identifies what are the main organizational processes that can be improved using APQC standardization, to show that the improvement can be made if the organization adjusts their organizational processes. This paper is an enhancement to the studies form the field because it provides a comparative analysis on three of the most competitive telecommunication companies in the world, uses GRI criteria and pairwise comparison method and gives an overview on the next steps for the telecommunication company to reduce their greenhouse gas emissions.

scholarly journals GIS based Flood Vulnerability Studies for Ife Central Local Government Area, Osun State, Nigeria

2020 ◽  
Vol 4 (1) ◽  
pp. 160-171
Author(s):  
V.A. Ijaware
Keyword(s):  
Local Government ◽  
Flood Hazard ◽  
Pairwise Comparison ◽  
Tropical Rainfall Measuring Mission ◽  
Satellite System ◽  
Comparison Method ◽  
Local Government Area ◽  
Landsat 8 ◽  
Flood Hazards ◽  
Flood Vulnerability

Flood has negatively affected Ife Central Local Government Area of Osun State, Nigeria. This work is aimed at mapping the vulnerability of the area to flood. Its objectives addressed the ranking of various natural and artificial factors causing flood, the determination and delineation of vulnerability to flood in the study area. Using remote sensing and GIS techniques, coordinates of flooded sites were acquired with Global Navigation Satellite System receiver; Landsat 8 data were acquired from the USGS website. To map land use, elevation data were acquired from the Shuttle Radar Topographic Mission Digital Elevation Models, soil data was obtained from the Nigerian Geological Survey website, and rainfall data was acquired from Tropical Rainfall Measuring Mission satellit. Using Pairwise Comparison, the various weights of factors constituting flood in the area were acquired. Weighted Linear Combination and Analytical Hierarchical Process was used in producing the flood hazard and flood vulnerability maps. ArcGIS 10.2 Software was used in spatial and attribute data acquisition, processing, and information presentation. The Pairwise Comparison method adopted was validated and observed to have a consistency ration of 0.003. Results obtained show that 9.2% of the study area is highly prone to flood hazards 20.4% is prone to flood hazard and 44.3% is moderately prone to flood hazard. The method adopted correctly identifies all existing flood incidence areas within the flood- prone areas in the hazard map. The maps produced will serve as an effective tool to aid the prevention and mitigation of flood disaster in the flood-prone area.

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