Rapid land use change by coastal wind farm development: Australian policies, politics and planning

Harvey, Nick; Dew, Romana E.C.; Hender, Sarah

doi:10.1016/j.landusepol.2016.11.031

Cited by 15 publications

(8 citation statements)

References 22 publications

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“…We also corroborate the importance in Brazil of the large spinning reserve and capacity for wind forecasting as potential obstacles, as other groups have reported [15,35]. The tensions among the social perspectives we describe here also have broad parallel to the challenges reported recently regarding possible negative outcomes in a federal system that lacks coordinated policy and planning among national and state governments [36]. Finally, respondents were not concerned by issues relating to opposition by host communities previously reported [24,34], probably because these complaints have remained localized, failing to reach the organizational centers where the respondents work, or because respondents believe that local managers are resolving concerns.…”

Section: Consensussupporting

confidence: 88%

How Do Stakeholders Perceive Barriers to Large-Scale Wind Power Diffusion? A Q-Method Case Study from Ceará State, Brazil

Frate

Brannstrom

2019

Energies

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High penetration of renewable power requires technical, organizational, and political changes. We use Q-method, a qualitative–quantitative technique, to identify and analyze views held by key actors on challenges for large-scale diffusion of wind power in Ceará State, Brazil, an early leader in wind power with 2.05 GW installed capacity. Four quantitatively determined social perspectives were identified with regard to views on challenges for wind power expansion: (1) failing because of the grid; (2) environmental challenges; (3) planning for wind, and (4) participating in wind. Each social perspective emphasizes a different array of barriers, such as cost of new transmission lines, transformation of a hydro-thermal mental model, predictive capacity for wind energy, and the need for participatory forum. Understanding the subjective views of stakeholders is a key first step in eventually reducing these barriers to renewable power penetration through diverse policy interventions.

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Section: Consensussupporting

confidence: 88%

How Do Stakeholders Perceive Barriers to Large-Scale Wind Power Diffusion? A Q-Method Case Study from Ceará State, Brazil

Frate

Brannstrom

2019

Energies

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“…V & A assessment is not a new concept in the disaster management science; White [13], Burton et al [14][15][16] and Bohle et al [17] had worked on this; this concept has also recently been focused on by Adger et al [18], Warrick and Ahmad [4], Carter et al [19], Smit and Wandel [20], IPCC [7,11], Harvey et al [21], Adger et al [22], Mortreux & Barnett [23], Younus [6,24]. The CCVA has already emerged as a science; many leading Universities in the World, such as Oxford, ANU, MIT, Oslo, have already accepted it as a science.…”

Section: Vulnerability Assessment Sustainable Livelihood and Transfomentioning

confidence: 99%

“…The CCVA has already emerged as a science; many leading Universities in the World, such as Oxford, ANU, MIT, Oslo, have already accepted it as a science. There are many branches of this science; the mentionable branches are: Migration as adaptation, moral reasoning [18]; ecosystem based mosaic adaptation and land cover change [25]; climate change transformation [26][27][28]; governance and justice [29]; community based planning in CCVA [6,30]; Economics [31]; CCVA awareness and Policy [14,32]; disaster/hazard management and transformed adaptation [27]; coastal adaptation [21,33]; adaptation cities [34]; resilience [35]; capacity building and resilience [36,37]; social norms in CCVA; local climate adaptation [24,38]. Some leading universities have CCVA institutions.…”

Section: Vulnerability Assessment Sustainable Livelihood and Transfomentioning

confidence: 99%

Climate Change Vulnerability Assessment and Adaptation of Bangladesh: Mechanisms, Notions and Solutions

Younus

Kabir

2018

Sustainability

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The concept of household vulnerability along with sustainable livelihoods has currently emerged as a significant concept in the climate change vulnerability and adaptation (CCVA) literature. In this paper, the vulnerability of Bangladesh has been assessed by using multiple regression analysis where twenty two effective variables have been chosen from the surveyed data given by Bangladesh Bureau of Statistics. The vulnerability has been functioned by three main stream components: Exposure, sensitivity and adaptive capacity, which have been adopted from the reports of Inter-Governmental Panel on Climate Change (IPCC) and other scientific literature. Based on the higher significance and coefficient values, the variables, which have direct relationships and impact on income and illness, have been identified and prioritized. Household income and illness are the known driving forces for assessing the vulnerability. The motion of centripetal and centrifugal forces in decision making mechanisms, which are the main driving contributions of this paper, have been dealt as a new way to envisioning vulnerability and adaptation decision. Based on the prioritized variables some actions along with solutions have been taken into consideration, which have enormous significance in addressing localized plans and actions in order to reduce potential households’ vulnerability under climate change regimes in Bangladesh.

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“…Human-induced ecological change has increased over recent decades (Glasson et al, 2013;Lewis and Maslin, 2015;Waters et al, 2016), prompting governments to use legislation to manage user-environment interactions (e.g., Christodoulou and Stamatelatou, 2016;Feng and Liao, 2016;Gunningham and Holley, 2016;Horne et al, 2016;Pettipas et al, 2016;Harvey et al, 2017). In order to conform to these legislative requirements, and to maintain a social license to operate, both industry and government are applying formal impact and monitoring assessments to existing and proposed developments (Glasson et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Fine-Scale Effects of Boat Moorings on Soft Sediment Communities Masked in Large-Scale Comparisons

et al. 2019

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Population growth is driving the demand for recreational marine infrastructure, resulting in extensive coastal habitat modification. Boat moorings, for example, are popular for vessel storage and are known to damage seagrass communities, yet little is known about how they influence unvegetated sediment habitats. Here we investigate the effects of boat moorings on sediment infauna using metrics of community composition, diversity, total abundance and abundances of individual functional groups and dominant taxa. Metrics were compared at fine and larger spatial scales, to investigate how spatial variability affects the ecological assessments in soft-sedimentary environments. Finescale models revealed changes in community composition and mollusk abundance with the distance from moorings, while sediment grain size was also an important predictor for composition, bivalve and polychaete abundances, although the direction of effects varied. When the same metrics were compared at larger scales (i.e., boating infrastructure present or lacking) we found that spatial variability among locations was detected, but no effect for moorings. With increased urbanization and industrialization of coastal areas there is a clear need to account for the scale of potential ecological effects in investigations of coastal infrastructure developments.

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Rapid land use change by coastal wind farm development: Australian policies, politics and planning

Cited by 15 publications

References 22 publications

How Do Stakeholders Perceive Barriers to Large-Scale Wind Power Diffusion? A Q-Method Case Study from Ceará State, Brazil

How Do Stakeholders Perceive Barriers to Large-Scale Wind Power Diffusion? A Q-Method Case Study from Ceará State, Brazil

Climate Change Vulnerability Assessment and Adaptation of Bangladesh: Mechanisms, Notions and Solutions

Fine-Scale Effects of Boat Moorings on Soft Sediment Communities Masked in Large-Scale Comparisons

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