Using expert informed GIS to locate important marine social-ecological hotspots

Mahboubi, Pouyan; Parkes, Margot W.; Stephen, Craig; Chan, Hing Man

doi:10.1016/j.jenvman.2015.03.055

Cited by 29 publications

(14 citation statements)

References 14 publications

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“…Different researchers have used different methods to identify statistically significant hotspots in spatial data (Anderson, 2009;Benedek et al, 2016;Chicas et al, 2016;Lauren , 2012;Mahboubi et al, 2015). Popular methods include Kernel Density Estimation (KDE), which is well suited for point datasets.…”

Section: Getis Ord For Oil Spills Hot Spot Detectionmentioning

confidence: 99%

Quantifying the exposure of humans and the environment to oil pollution in the Niger Delta using advanced geostatistical techniques

Obida

Blackburn

Whyatt

et al. 2018

Environment International

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The Niger Delta is one of the largest oil producing regions of the world. Large numbers and volumes of oil spills have been reported in this region. What has not been quantified is the putative exposure of humans and/or the environment to this hydrocarbon pollution. In this novel study, advanced geostatistical techniques were applied to an extensive database of oil spill incidents from 2007 to 2015. The aims were to (i) identify and analyse spill hotspots along the oil pipeline network and (ii) estimate the exposure of the hydrocarbon pollution to the human population and the environment within the Niger Delta. Over the study period almost 90millionlitres of oil were released. Approximately 29% of the human population living in proximity to the pipeline network has been potentially exposed to oil contamination, of which 565,000 people live within high or very high spill intensity sectors. Over 1000km of land has been contaminated by oil pollution, with broadleaved forest, mangroves and agricultural land the most heavily impacted land cover types. Proximity to the coast, roads and cities are the strongest spatial factors contributing to spill occurrence, which largely determine the accessibility of sites for pipeline sabotage and oil theft. Overall, the findings demonstrate the high levels of environmental and human exposure to hydrocarbon pollutants in the Niger Delta. These results provide evidence with which to spatially target interventions to reduce future spill incidents and mitigate the impacts of previous spills on human communities and ecosystem health.

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Section: Getis Ord For Oil Spills Hot Spot Detectionmentioning

confidence: 99%

Quantifying the exposure of humans and the environment to oil pollution in the Niger Delta using advanced geostatistical techniques

Obida

Blackburn

Whyatt

et al. 2018

Environment International

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“…According to the z-score, regions with an absolute value greater than 1.96 were considered clustering regions (hot or cool spots). Areas with an absolute value less than 1.96 were considered nonsignificant (Mahboubi et al, 2015).…”

Section: Definition Of Regions With Various Lst Featuresmentioning

confidence: 99%

Quantifying the influences of various ecological factors on land surface temperature of urban forests

Ren

Deng

Zuo

et al. 2016

Environmental Pollution

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a b s t r a c tIdentifying factors that influence the land surface temperature (LST) of urban forests can help improve simulations and predictions of spatial patterns of urban cool islands. This requires a quantitative analytical method that combines spatial statistical analysis with multi-source observational data. The purpose of this study was to reveal how human activities and ecological factors jointly influence LST in clustering regions (hot or cool spots) of urban forests. Using Xiamen City, China from 1996 to 2006 as a case study, we explored the interactions between human activities and ecological factors, as well as their influences on urban forest LST. Population density was selected as a proxy for human activity. We integrated multi-source data (forest inventory, digital elevation models (DEM), population, and remote sensing imagery) to develop a database on a unified urban scale. The driving mechanism of urban forest LST was revealed through a combination of multi-source spatial data and spatial statistical analysis of clustering regions. The results showed that the main factors contributing to urban forest LST were dominant tree species and elevation. The interactions between human activity and specific ecological factors linearly or nonlinearly increased LST in urban forests. Strong interactions between elevation and dominant species were generally observed and were prevalent in either hot or cold spots areas in different years. In conclusion, quantitative studies based on spatial statistics and GeogDetector models should be conducted in urban areas to reveal interactions between human activities, ecological factors, and LST.

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“…Some participatory approaches use mapping to enable stakeholder-driven weighted ratings of spatial ecosystem service provision, in turn highlighting important areas of special social and ecological importance which conventional service mapping cannot detect [106,107]. However, participatory approaches need to be underpinned by appropriate resources including sufficient time to explain methods, protocols and to build up stakeholder relationships, but when applied sensitively they can facilitate community-based catchment management by legitimising, analysing and representing local knowledge [108].…”

Section: Participatory Approachesmentioning

confidence: 99%

“…Catchment management has benefitted from recognition that such approaches help to build consensus and share wider perspectives to inform the decision-making process, but a more comprehensive understanding of the variability of viewpoints associated with decision-makers and beneficiaries of catchment management is needed, and across multiple spatial and temporal scales [116]. Innovation in stakeholder engagement methodologies will help to underpin this need for improved understanding as participatory research continues to evolve to take advantage of more engaging and mutually beneficial approaches such as participatory modelling and the co-production of knowledge [107,117]. More in-depth analysis of the characteristics of successful participatory modelling and research are clearly needed to help overcome the cultural, economic and technical constraints that can hinder effective engagement and participatory research.…”

Section: Transdisciplinary Research and Stakeholder Engagementmentioning

confidence: 99%

Managing Multiple Catchment Demands for Sustainable Water Use and Ecosystem Service Provision

Stosch¹,

Oliver²

2017

Water

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Ensuring water, food and energy security for a growing world population represents a 21st century catchment management challenge. Failure to recognise the complexity of interactions across ecosystem service provision can risk the loss of other key environmental and socioeconomic benefits from the natural capital of catchment systems. In particular, the ability of soil and water to meet human needs is undermined by uncertainties around climate change effects, ecosystem service interactions and conflicting stakeholder interests across catchments. This critical review draws from an extensive literature to discuss the benefits and challenges of utilising an ecosystem service approach for integrated catchment management (ICM). State-of-the-art research on ecosystem service assessment, mapping and participatory approaches is evaluated and a roadmap of the key short-and longer-term research needs for maximising landscape-scale ecosystem service provision from catchments is proposed.

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Using expert informed GIS to locate important marine social-ecological hotspots

Cited by 29 publications

References 14 publications

Quantifying the exposure of humans and the environment to oil pollution in the Niger Delta using advanced geostatistical techniques

Quantifying the exposure of humans and the environment to oil pollution in the Niger Delta using advanced geostatistical techniques

Quantifying the influences of various ecological factors on land surface temperature of urban forests

Managing Multiple Catchment Demands for Sustainable Water Use and Ecosystem Service Provision

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