ORCID Profile
0000-0001-5896-365X
Current Organisations
University of Illinois at Chicago
,
Florida State University
,
University of Tehran
,
University of Tasmania
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Publisher: Hindawi Limited
Date: 12-11-2012
DOI: 10.1155/2012/964148
Abstract: The aim of this paper is to study the spatial consequences of applying different Attitude Utility Functions (AUFs), which reflect peoples’ simplified psychological frames, to investment plans in land-use decision making. For this purpose, we considered and implemented an agent-based model with new methods for searching landscapes, for selecting parcels to develop, and for allowing competitions among agents. Besides this, GIS (Geographic Information Systems) as a versatile and powerful medium of analyzing and representing spatial data is used. Our model is implemented on an artificial landscape in which land is being developed by agents. The agents are assumed to be mobile developers that are equipped with several land-related objectives. In this paper, agents mimic various risk-bearing attitudes and sometimes compete for developing the same parcel. The results reveal that patterns of land-use development are different in the two cases of regarding and disregarding AUFs. Therefore, it is considered here that using the attitudes of people towards risk helps the model to better simulate the decision making of land-use developers. The different attitudes toward risk used in this study can be attributed to different categories of developers based on sets of characteristics such as income, age, or education.
Publisher: University of Tasmania
Date: 2019
Publisher: Frontiers Media SA
Date: 19-06-2018
Publisher: SAGE Publications
Date: 02-07-2022
DOI: 10.1177/14730952211026693
Abstract: More than half a century has passed since the first use of models in urban planning. Most urban planners have agreed on using models either to simplify complicated systems or to make simulations of such systems in order to predict their future. There is, however, disagreement on how far such simplifications and simulations have worked toward the planners’ goals and objectives. In this paper, through historical analysis, we placed the model-theory interaction into the broader scope of scientific modeling to develop guidelines applicable to the narrow field of urban modeling. Here, we developed an argument that models’ applicability and meaningfulness in urban planning are primarily dependent on planning theories, that is, models and theories should move parallel to achieve all the functions and capabilities claimed by models. Thus, an interactive process shapes the model as the mediator between the theory and the phenomenon: (a) the theory explains an abstract phenomenon, (b) the model provides an understanding of that phenomenon, and (c) the original abstract explanation is revisited and made more practical. This evolutionary process is our view of the “mediator model,” that is, a new definition of the urban model.
Publisher: Springer Science and Business Media LLC
Date: 12-05-2022
Publisher: Springer Science and Business Media LLC
Date: 11-12-2017
DOI: 10.1038/S41559-017-0392-3
Abstract: Most seafloor communities at depths below the photosynthesis zone rely on food that sinks through the water column. However, the nature and strength of this pelagic-benthic coupling and its influence on the structure and ersity of seafloor communities is unclear, especially around Antarctica where ecological data are sparse. Here we show that the strength of pelagic-benthic coupling along the East Antarctic shelf depends on both physical processes and the types of benthic organisms considered. In an approach based on modelling food availability, we combine remotely sensed sea-surface chlorophyll-a, a regional ocean model and diatom abundances from sediment grabs with particle tracking and show that fluctuating seabed currents are crucial in the redistribution of surface productivity at the seafloor. The estimated availability of suspended food near the seafloor correlates strongly with the abundance of benthic suspension feeders, while the deposition of food particles correlates with decreasing suspension feeder richness and more abundant deposit feeders. The modelling framework, which can be modified for other regions, has broad applications in conservation and management, as it enables spatial predictions of key components of seafloor bio ersity over vast regions around Antarctica.
Publisher: Springer Science and Business Media LLC
Date: 27-05-2021
Publisher: MDPI AG
Date: 30-03-2017
DOI: 10.3390/IJGI6040101
Publisher: Penerbit UTHM
Date: 30-12-2021
DOI: 10.30880/IJSCET.2021.12.04.005
Abstract: The Hedonic valuation method has been considered in various fields by researchers in order to estimate the value of a commodity or the demand for exploitation of a commodity for many years. Besides, the "Hedonic method" has been widely used to identify "value" in the housing market. Although the Hedonic model has been used in the housing market for various purposes, a main and practical context of the model has been identifying the indicators that explain the value of housing and the application of these indicators in urban housing planning. This article tries to develop a "conceptual model" of value and inference from the research of others, by meta-analyzing the existing theoretical literature regarding the valuing indicators in the Hedonic model. The present study, which has been done by meta-analysis method, uses MAXQDA software and open and axial coding to analyze the texts in order to compile and classify the features that explain the value of housing. The research findings, which are taken from 335 highly cited articles between 2009 and 2019, show that despite the long period of application and theoretical development of the model, there is no theoretical consensus on the explanatory indicators of housing value. So that 7 main categories can be identified in the form of 350 concepts and 5883 codes (including frequency) which can show the range of housing value dimensions, in addition to summarizing the issue. Also, the share of basic structural-physical and peripheral categories, with 53.5 and 25.5 percent, respectively, has the most application in the Hedonic housing valuation model. In the two mentioned categories, the share of variables affecting the residential unit, building of the property and access to services and land uses with relative shares of 23.6, 19.2 and 16.5%, is more than other variables. The results show that while the concepts of many explanatory indicators of value are the same, a suitable range of explanatory indicators of housing value can be used in the Hedonic model according to the goals and the target community, and this can lead to the formation of indigenous and specific values of a society.
Publisher: Cold Spring Harbor Laboratory
Date: 18-02-2023
DOI: 10.1101/2023.02.16.528770
Abstract: Marine imagery is a comparatively cost-effective way to collect data on seafloor organisms, bio ersity and habitat morphology. However, annotating these images to extract detailed biological information is time-consuming and expensive, and reference libraries of consistently annotated seafloor images are rarely publicly available. Here, we present the Antarctic Seafloor Annotated Imagery Database (AS-AID), a result of a multinational collaboration to collate and annotate regional seafloor imagery datasets from 19 Antarctic research cruises between 1985 and 2019. AS-AID comprises of 3,599 georeferenced downward facing seafloor images that have been labelled with a total of 615,051 expert annotations. Annotations are based on the CATAMI (Collaborative and Automated Tools for Analysis of Marine Imagery) classification scheme and have been reviewed by experts. In addition, because the pixel location of each annotation within each image is available, annotations can be viewed easily and customised to suit in idual research priorities. This dataset can be used to investigate species distributions, community patterns, it provides a reference to assess change through time, and can be used to train algorithms to automatically detect and annotate marine fauna.
Publisher: Zenodo
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 03-2022
DOI: 10.1007/S11160-022-09700-3
Abstract: Marine ecosystems and their associated bio ersity sustain life on Earth and hold intrinsic value. Critical marine ecosystem services include maintenance of global oxygen and carbon cycles, production of food and energy, and sustenance of human wellbeing. However marine ecosystems are swiftly being degraded due to the unsustainable use of marine environments and a rapidly changing climate. The fundamental challenge for the future is therefore to safeguard marine ecosystem bio ersity, function, and adaptive capacity whilst continuing to provide vital resources for the global population. Here, we use foresighting/hindcasting to consider two plausible futures towards 2030: a business-as-usual trajectory (i.e. continuation of current trends), and a more sustainable but technically achievable future in line with the UN Sustainable Development Goals. We identify key drivers that differentiate these alternative futures and use these to develop an action pathway towards the desirable, more sustainable future. Key to achieving the more sustainable future will be establishing integrative (i.e. across jurisdictions and sectors), adaptive management that supports equitable and sustainable stewardship of marine environments. Conserving marine ecosystems will require recalibrating our social, financial, and industrial relationships with the marine environment. While a sustainable future requires long-term planning and commitment beyond 2030, immediate action is needed to avoid tipping points and avert trajectories of ecosystem decline. By acting now to optimise management and protection of marine ecosystems, building upon existing technologies, and conserving the remaining bio ersity, we can create the best opportunity for a sustainable future in 2030 and beyond.
Publisher: Frontiers Media SA
Date: 27-06-2022
DOI: 10.3389/FMARS.2022.870145
Abstract: Human activity puts our oceans under multiple stresses, whose impacts are already significantly affecting bio ersity and physicochemical properties. Consequently, there is an increased international focus on the conservation and sustainable use of oceans, including the protection of fragile benthic bio ersity hotspots in the deep sea, identified as vulnerable marine ecosystems (VMEs). International VME risk assessment and conservation efforts are h ered because we largely do not know where VMEs are located. VME distribution modelling has increasingly been recommended to extend our knowledge beyond sparse observations. Nevertheless, the adoption of VME distribution models in spatial management planning and conservation remains limited. This work critically reviews VME distribution modelling studies, and recommends promising avenues to make VME models more relevant and impactful for policy and management decision making. First, there is an important interplay between the type of VME data used to build models and how the generated maps can be used in making management decisions, which is often ignored by model-builders. Overall, there is a need for more precise VME data for production of reliable models. We provide specific guidelines for seven common applications of VME distribution modelling to improve the matching between the modelling and the user need. Second, the current criteria to identify VME often rely on subjective thresholds, which limits the transparency, transferability and effective applicability of distribution models in protection measures. We encourage scientists towards founding their models on: (i) specific and quantitative definitions of what constitute a VME, (ii) site conservation value assessment in relation to VME multi-taxon spatial predictions, and (iii) explicitly mapping vulnerability. Along with the recent increase in both deep-sea biological and environmental data quality and quantity, these modelling recommendations can lead towards more cohesive summaries of VME’s spatial distributions and their relative vulnerability, which should facilitate a more effective protection of these ecosystems, as has been mandated by numerous international agreements.
Publisher: Cold Spring Harbor Laboratory
Date: 30-05-2018
DOI: 10.1101/333955
Abstract: Seafloor communities are a critical part of the unique and erse Antarctic marine life. Processes at the ocean-surface can strongly influence the ersity and abundance of these communities, even when they live at hundreds of meters water depth. However, even though we understand the importance of this link, there are so far no quantitative spatial predictions on how seafloor communities will respond to changing conditions at the ocean surface. Here, we map patterns in abundance of important habitat-forming suspension feeders on the seafloor in East Antarctica, and predict how these patterns change after a major disturbance in the icescape, caused by the calving of the Mertz Glacier Tongue. We use a purpose-built ocean model for the time-period before and after the calving of the Mertz-Glacier Tongue in 2010, data from satellites and a validated food-availability model to estimate changes in horizontal flux of food since the glacier calving. We then predict the post-calving distribution of suspension feeder abundances using the established relationships with the environmental variables, and changes in horizontal flux of food. Our results indicate strong increases in suspension feeder abundances close to the glacier calving site, fueled by increased food supply, while the remainder of the region maintains similar suspension feeder abundances despite a slight decrease in total food supply. The oceanographic setting of the entire region changes, with a shorter ice-free season, altered seafloor currents and changes in food-availability. Our study provides important insight into the flow-on effects of a changing icescape on seafloor habitat and fauna in polar environments. Understanding these connections is important in the context of current and future effects of climate change, and the mapped predictions of the seafloor fauna as presented for the study region can be used as a decision-tool for planning potential marine protected areas, and for focusing future s ling and monitoring initiatives.
Publisher: Elsevier BV
Date: 10-2021
Publisher: Wiley
Date: 21-10-2023
Publisher: Australian Antarctic Data Centre
Date: 2018
Publisher: Springer Science and Business Media LLC
Date: 13-08-2022
Publisher: Australian Antarctic Data Centre
Date: 2018
Publisher: Springer Science and Business Media LLC
Date: 23-07-2016
Publisher: Elsevier BV
Date: 04-2013
Publisher: Elsevier BV
Date: 03-2016
Publisher: Oxford University Press (OUP)
Date: 25-02-2023
Abstract: A significant proportion of Southern Ocean seafloor bio ersity is thought to be associated with fragile, slow growing, long-lived, and habitat-forming taxa. Minimizing adverse impact to these so-called vulnerable marine ecosystems (VMEs) is a conservation priority that is often managed by relying on fisheries bycatch data, combined with threshold-based conservation rules in which all “indicator” taxa are considered equal. However, VME indicator taxa have different vulnerabilities to fishing disturbance and more consideration needs to be given to how these taxa may combine to form components of ecosystems with high conservation value. Here, we propose a multi-criteria approach to VME identification that explicitly considers multiple taxa identified from imagery as VME indicator morpho-taxa. Each VME indicator morpho-taxon is weighted differently, based on its vulnerability to fishing. Using the “Antarctic Seafloor Annotated Imagery Database”, where 53 VME indicator morpho-taxa were manually annotated generating & annotations, we computed an index of cumulative abundance and overall richness and assigned it to spatial grid cells. Our analysis quantifies the assemblage-level vulnerability to fishing, and allows assemblages to be characterized, e.g. as highly erse or highly abundant. The implementation of this quantitative method is intended to enhance VME identification and contextualize the bycatch events.
Publisher: Australian Antarctic Data Centre
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 20-08-2015
Publisher: Wiley
Date: 30-01-2020
DOI: 10.1002/EAP.2065
Abstract: Characterizing the spatial distribution and variation of species communities and validating these characteristics with data from the field are key elements for an ecosystem-based approach to management. However, models of species distributions that yield community structure are usually not linked to models of community dynamics, constraining understanding and management of the ecosystem, particularly in data-poor regions. Here we use a qualitative network model to predict changes in Antarctic benthic community structure between major marine habitats characterized largely by seafloor depth and slope, and use multivariate mixture models of species distributions to validate the community dynamics. We then assess how future increases in primary production associated with anticipated loss of sea-ice may affect the ecosystem. Our study shows how both spatial and structural features of ecosystems in data-poor regions can be analyzed and possible futures assessed, with direct relevance for ecosystem-based management.
Publisher: Elsevier BV
Date: 2022
Location: France
Start Date: 2019
End Date: 2022
Funder: Australian Research Council
View Funded ActivityStart Date: 2018
End Date: 2018
Funder: Commonwealth Scientific and Industrial Research Organisation
View Funded Activity