Regional Ecological Risk Assessment for Australia's Tropical Rivers: Application of the Relative Risk Model

Bartolo, Renée E.; Dam, Rik Van; Bayliss, Peter

doi:10.1080/10807039.2012.631467

Cited by 40 publications

(17 citation statements)

References 20 publications

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“…However, the implementation of Returning Land from Farming to Forest Policy increase the forest landscape connectivity and decrease the ecological risk of land use. These concludes show that land use change can affect ecological security and support the method of eco-risk assessment of land use in this study is feasible, which also can be seen by other findings [5,7,15]. …”

Section: Discussionsupporting

confidence: 87%

“…At this stage, the description of the ecological risk pressure has come from a single chemical factor, extended to multisource, multi-level risk factors and ecological events [6]. With the expansion of the research-scale, ecological risk assessment at the scale of the basin and the city is increasing [7,8]. Eco-risk assessment of land use describes and evaluates the likelihood and degree of harm affected by environmental pollution, human activities and natural disasters, and other sources of interference.…”

Section: Introductionmentioning

confidence: 99%

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Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China

Xie

Wang

Hong-sheng

2013

IJERPH

150

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Land use/land cover change has been attracting increasing attention in the field of global environmental change research because of its role in the social and ecological environment. To explore the ecological risk characteristics of land use change in the Poyang Lake Eco-economic Zone of China, an eco-risk index was established in this study by the combination of a landscape disturbance index with a landscape fragmentation index. Spatial distribution and gradient difference of land use eco-risk are analyzed by using the methods of spatial autocorrelation and semivariance. Results show that ecological risk in the study area has a positive correlation, and there is a decreasing trend with the increase of grain size both in 1995 and 2005. Because the area of high eco-risk value increased from 1995 to 2005, eco-environment quality declined slightly in the study area. There are distinct spatial changes in the concentrated areas with high land use eco-risk values from 1995 to 2005. The step length of spatial separation of land use eco-risk is comparatively long—58 km in 1995 and 11 km in 2005—respectively. There are still nonstructural factors affecting the quality of the regional ecological environment at some small-scales. Our research results can provide some useful information for land eco-management, eco-environmental harnessing and restoration. In the future, some measures should be put forward in the regions with high eco-risk value, which include strengthening land use management, avoiding unreasonable types of land use and reducing the degree of fragmentation and separation.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China

Xie

Wang

Hong-sheng

2013

IJERPH

150

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“…The original relative risk model (RRM) was developed to address ecological risks associated with multiple stressors acting on diverse endpoints over larger spatial and longer temporal scales (Colnar and Landis ; Landis and Wiegers ) and has been applied worldwide (Bartolo et al ; Chen et al ; Apitz ; Kanwar et al ). In the RRM the formation of the conceptual model uses the source–stressor–habitat–effect–impact framework that incorporates spatial relationships to indicate causal interactions (Landis and Wiegers ; Wiegers et al ).…”

Section: Introductionmentioning

confidence: 99%

Integration of Chlorpyrifos Acetylcholinesterase Inhibition, Water Temperature, and Dissolved Oxygen Concentration into a Regional Scale Multiple Stressor Risk Assessment Estimating Risk to Chinook Salmon

Landis

Chu

Graham

et al. 2019

Integr Envir Assess & Manag

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We estimated the risk to populations of Chinook salmon (Oncorhynchus tshawytscha) due to chlorpyrifos (CH), water temperature (WT), and dissolved oxygen concentration (DO) in 4 watersheds in Washington State, USA. The watersheds included the Nooksack and Skagit Rivers in the Northern Puget Sound, the Cedar River in the Seattle–Tacoma corridor, and the Yakima River, a tributary of the Columbia River. The Bayesian network relative risk model (BN‐RRM) was used to conduct this ecological risk assessment and was modified to contain an acetylcholinesterase (AChE) inhibition pathway parameterized using data from CH toxicity data sets. The completed BN‐RRM estimated risk at a population scale to Chinook salmon employing classical matrix modeling runs up to 50‐y timeframes. There were 3 primary conclusions drawn from the model‐building process and the risk calculations. First, the incorporation of an AChE inhibition pathway and the output from a population model can be combined with environmental factors in a quantitative fashion. Second, the probability of not meeting the management goal of no loss to the population ranges from 65% to 85%. Environmental conditions contributed to a larger proportion of the risk compared to CH. Third, the sensitivity analysis describing the influence of the variables on the predicted risk varied depending on seasonal conditions. In the summer, WT and DO were more influential than CH. In the winter, when the seasonal conditions are more benign, CH was the driver. Fourth, in order to reach the management goal, we calculated the conditions that would increase juvenile survival, adult survival, and a reduction in toxicological effects. The same process in this example should be applicable to the inclusion of multiple pesticides and to more descriptive population models such as those describing metapopulations. Integr Environ Assess Manag 2019;00:1–15. © 2019 SETAC

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“…Many scholars were focusing on in-depth studies of regional ecological risk at different spatial scales, such as lakes [10], river delta [11,12], and watershed basin [9,13,14] and different land use/cover types [15][16][17][18]. Major risk assessment models consist of the Relative Risk assessment Model (RRM) [19], the Hierarchical Patch Dynamics Paradigm (HPDP) [20] and the Procedure for Ecological Tiered Assessment of Risk (PETAR) [21].…”

Section: Introductionmentioning

confidence: 99%

Evolution Characteristics of Landscape Ecological Risk Patterns in Coastal Zones in Zhejiang Province, China

Gong

et al. 2017

Sustainability

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Analyzing evolution characteristics of landscape ecological risk patterns would help establish ecological risk early warning mechanism, reduce the ecological risk probability and promote coastal landscape pattern optimization. In this study, landscape pattern indices were first calculated by using multitemporal Landsat TM images acquired in years 1990, 2000 and 2010, then landscape ecological risk pattern evolution models and the spatiotemporal evolutions of ecological risk patterns of coastal zones in Zhejiang province, China were constructed and analyzed. The results demonstrate that (1) greater changes have taken place in landscape structures during the two decades, and (2) the areas of cropland, sea, woodland and water surface have decreased significantly, while the areas of built-up land, unused land and aquaculture land have increased. In 1990, coastal landscapes were mainly occupied by extremely low and low ecological risk areas. However, by 2010, the low ecological risk area apparently decreased compared to that in 1990, while extremely high and high ecological risk areas increased significantly, occupying spatial regions where originally the extremely low and low ecological risk zones located. Transition rates of ecological risk grades in the second ten years (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) were significantly lower than in the first ten years (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000). The result suggests that people who originally urged to accelerate coastal landscape exploitation and development have started to concern the ecological environment protection and to pursue a mode that economic development and ecological protection are synchronously conducted.

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Regional Ecological Risk Assessment for Australia's Tropical Rivers: Application of the Relative Risk Model

Cited by 40 publications

References 20 publications

Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China

Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China

Integration of Chlorpyrifos Acetylcholinesterase Inhibition, Water Temperature, and Dissolved Oxygen Concentration into a Regional Scale Multiple Stressor Risk Assessment Estimating Risk to Chinook Salmon

Evolution Characteristics of Landscape Ecological Risk Patterns in Coastal Zones in Zhejiang Province, China

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