Conservation of Sarawak peat swamp in an urban landscape by fuzzy inference system

Freshwater habitats are one of the planet’s most important, yet most manipulated, environments. This is what happens in Sarawak that the environment has been radically changed due to urban developments. This paper is promoting the idea that we do not need a complicated but a simple tool like fuzzy inference system to strike a balance between the existence of peat swamp and the humans who live nearer and nearer to it. Conditions vital to the survival and continuity of a natural wetland system can be adapted as fuzzy rules. These rules are capable of providing indicators of how much wetland can be exploited and at the same time still allow the system to properly functioning as a wetland.     

Performance evaluation of lean sustainable systems using adaptive neuro fuzzy inference system: a case study

The modern manufacturing organisations have been adopting both lean and sustainable manufacturing paradigms to survive in the competitive environment. Lean and sustainable strategies aim at achieving productivity improvement by streamlined processes and waste elimination. The performance of such integrated lean sustainable system has to be assessed to ensure whether the strategic objectives are in line with customer value and to identify improvement opportunities that enable and enhance the competitive advantage of an integrated lean sustainable system. This paper presents the formulation of conceptual performance evaluation model to assess lean sustainable systems. Appropriate performance indicators have been identified and adaptive neuro fuzzy inference system approach is used to evaluate lean sustainability. A case of automotive component manufacturing firm in Indian scenario is exemplified. Based on the evaluation, lean sustainability index was computed and the firm was found to be ‘Averagely Lean Sustainable’. Further improvement actions to enhance the lean sustainable performance were planned and implemented. The developed performance evaluation model is capable of effectively evaluating the lean sustainable performance of manufacturing firms and has more practical relevance.     

Assessing water quality in rivers with fuzzy inference systems: a case study

In recent years, fuzzy-logic-based methods have demonstrated to be appropriated to address uncertainty and subjectivity in environmental problems. In the present study, a methodology based on fuzzy inference systems (FIS) to assess water quality is proposed. A water quality index calculated with fuzzy reasoning has been developed. The relative importance of water quality indicators involved in the fuzzy inference process has been dealt with a multi-attribute decision-aiding method. The potential application of the fuzzy index has been tested with a case study. A data set collected from the Ebro River (Spain) by two different environmental protection agencies has been used. The current findings, managed within a geographic information system, clearly agree with official reports and expert opinions about the pollution problems in the studied area. Therefore, this methodology emerges as a suitable and alternative tool to be used in developing effective water management plans.     

Landscape changes and environmental quality: the evolution of land vulnerability and potential resilience to degradation in Italy

Resilience, considered as the ability of a system to absorb and compensate pressures derived from human and natural systems, is a topic of interest in the Mediterranean region whose landscape is the joint result of social, economic and environmental factors. The present study analyses the changes in the Italian landscape over two periods (1960–1990 and 1990–2010) of the last 50 years through a composite index of environmental resilience and vulnerability to land degradation. Results indicate that the spatial distribution of this index has been considerably changed from a relatively simple geography (mainly reflecting a latitude gradient) to a more complex pattern. The level of vulnerability of southern Italian land maintained quite stable while increasing significantly in Northern and Central Italy. The (potential) resilience level decreased over time in Central and Northern Italy while growing moderately in Southern Italy. This means that important processes of environmental changes impacting landscape resilience occurred with a different spatial trend in Italy. The composite index derived from vulnerability and potential resilience estimates at the regional scale revealed crucial to map over time the increase of surface land exposed to desertification risk. Results support the adoption of measures promoting a sustainable land management in environmentally vulnerable land with low potential to resilience.     

Developing a multi-criteria sustainable credit score system using fuzzy BWM and fuzzy TOPSIS

Environment, Development and Sustainability - Sustainability has emerged as a dominating paradigm across global institutions as a critical component for their prospects. Organisations all across...     

Radioecological investigation of the Techa-Iset' river system

Data on the current radioecological situation in the Techa-Iset' river system, which was contaminated by radioactive wastes from the Mayak Production Association in the 1940s and 1950s, are discussed. Mathematical models are presented that describe the decrease in the contamination of water, bottom sediments, hydrobionts, and floodplain soils with an increase in the distance from the discharge site. The amounts of⁹⁰Sr,⁹⁹Tc,¹³⁷Cs, and transuranium elements in the main components of the ecosystem are estimated.     

Water quality analysis in rivers with non-parametric probability distributions and fuzzy inference systems: Application to the Cauca River,Colombia

The integration of water quality monitoring variables is essential in environmental decision making. Nowadays, advanced techniques to manage subjectivity, imprecision, uncertainty, vagueness, and variability are required in such complex evaluation process. We here propose a probabilistic fuzzy hybrid model to assess river water quality. Fuzzy logic reasoning has been used to compute a water quality integrative index. By applying a Monte Carlo technique, based on non-parametric probability distributions, the randomness of model inputs was estimated. Annual histograms of nine water quality variables were built with monitoring data systematically collected in the Colombian Cauca River, and probability density estimations using the kernel smoothing method were applied to fit data. Several years were assessed, and river sectors upstream and downstream the city of Santiago de Cali, a big city with basic wastewater treatment and high industrial activity, were analyzed. The probabilistic fuzzy water quality index was able to explain the reduction in water quality, as the river receives a larger number of agriculture, domestic, and industrial effluents. The results of the hybrid model were compared to traditional water quality indexes. The main advantage of the proposed method is that it considers flexible boundaries between the linguistic qualifiers used to define the water status, being the belongingness of water quality to the diverse output fuzzy sets or classes provided with percentiles and histograms, which allows classify better the real water condition. The results of this study show that fuzzy inference systems integrated to stochastic non-parametric techniques may be used as complementary tools in water quality indexing methodologies.     

Effects of changing land use on dissolved organic matter in a subtropical river watershed, southeast China

The composition of dissolved organic matter (DOM) is an important determinant for its biogeochemical role in the aquatic environments. Therefore, it is crucial to determine the effects of changing land use on the DOM composition in the river watershed. Water samples were collected from the outlets of 15 sub-watersheds in the subtropical Jiulong River (southeast China) for fluorescence measurements and parallel factor analysis. Two humic-like (C1 and C2) and one protein-like (C3) fluorescent components were identified. Overall, DOM in the Jiulong River watershed was dominated by humic-like materials, probably due to the fact that 69% of the watershed is covered with forest. The 15 sub-watersheds were grouped into four clusters based on the proportion of each fluorescent component in the total fluorescence, suggesting that the DOM composition could be very different among sub-watersheds. There was a strong negative correlation between C2 and C3%. C1% correlated with the water body fraction, likely associated with the aquatic production of C1. C3% correlated positively with the residential area fraction, likely indicating the influence of anthropogenic activities. These results are useful for assessing the effects of land use/land cover changes on the composition and hence biogeochemical roles of DOM in aquatic environments.     

The impact of land use on riparian soil dissolved organic matter and on streamwater quality on Chongming Island,China

Riparian wetland controls the transfer of terrestrial dissolved organic matter (DOM) to surface water bodies. However, the effects of land use on riparian soil DOM quality and its contribution to aquatic environment are largely unknown. In this study, the amount and composition of water-extracted soil organic matter (WSOM) in riparian wetlands were determined to evaluate the effect of land uses on spatial patterns of WSOM and streamwater quality on Chongming Island, China. The fluorescent properties of WSOM and fluvial DOM were analyzed using EEM spectra-combining PARAFAC model and accurate MS and MS/MS identification. Our findings showed no differences in the riparian WSOC contents between land use types (agricultural land, natural wetland, commercial land and industrial land). However, the fluorescent WSOM and its humic-like (Comp.1 and Comp.2) and microbial degradation (Comp.4) components significantly varied under different land uses (P < 0.05). Overall, the fluorescent WSOM quantities and its components (Comp.1, Comp.2 and Comp.4) were present at markedly lower concentrations for agricultural land use relative to the other three land uses. The same distribution pattern was observed for carbonyl compounds and fatty acids in the riparian WSOM molecules (P < 0.05), but the distribution patterns of the lipids were different between the four land uses (P < 0.05). Industrial land could result in the input of more organic matter into the riparian wetland. Our results showed that fluvial Comp.1 and Comp.2 were significantly correlated with WSOM Comp.2 and WSOM Comp.4 (P < 0.05). We also observed that the fluvial trophic status was significantly higher when the fluvial DOM components increased (P < 0.05). These results indicated that land uses can alter the composition of riparian WSOM, reshape fluvial DOM compositions and significantly affect fluvial water quality.     

Multiscale system dynamics of humans and nature in The Bahamas: perturbation, knowledge, panarchy and resilience

The analysis of the dynamic interactions between social systems, integrated by governance and communication, and biophysical systems, connected by material and energy flows, remains a challenge. In this paper, we draw on the heuristic models of the “adaptive renewal cycle” and “panarchy” [Gunderson and Holling (eds) Panarchy: understanding transformations in human and natural systems. Island Press, Washington, 2002], which are embedded in the theory of complex adaptive systems. Taking island development research in The Bahamas as a case study, we investigate environmental stressors, knowledge and social response in the context of three distinct social–ecological subsystems: (1) the interaction between tropical storms/hurricanes and the social system of disaster preparedness/management; (2) coastal ecosystem degradation coupled with land development; and (3) the fishery, in which we also consider the impact of a recent biological invasion, the Indo-Pacific red lionfish. The findings demonstrate the complexity of panarchical relations and the crucial role of diverse and uncertain knowledge systems and underlying mental models of risk and environment for resilience and sustainability. These are acquired at different scales and form key variables of change. This also applies to processes of communication. Bringing together the various constantly evolving multi-level knowledge systems for effective communication and decision-making remains a major challenge.     

Livelihoods and landscapes at the threshold of change: disaster and resilience in a Chiapas coffee community

In 2005, torrential rains associated with Hurricane Stan devastated farm systems in southern Mexico. We present a case study on the impacts of and responses to Hurricane Stan by coffee households in three communities in the highlands of Chiapas, Mexico, with the objective of illuminating the linkages between household vulnerability and resilience. We analyze data from 64 household surveys in a cluster analysis to link household impacts experienced to post-Stan adaptive responses and relate these results with landscape-level land-cover changes. The degree of livelihood change was most significant for land-constrained households whose specialization in coffee led to high exposure and sensitivity to Stan and little adaptive capacity. Across the sample, the role of coffee in livelihood strategies declined, as households sought land to secure subsistence needs and diversified economically after Stan. Nevertheless, livelihoods and landscape outcomes were not closely coupled, at least at the temporal and spatial scale of our analysis: We found no evidence of land-use change associated with farmers’ coping strategies. While households held strong attitudes regarding effective resource management for risk reduction, this knowledge does not necessarily translate into capacities to manage resilience at broader scales. We argue that policy interventions are needed to help materialize local strategies and knowledge on risk management, not only to allow individual survival but also to enhance resilience at local, community and landscape scales.     

Daphnia emergence: a sensitive indicator of fire-retardant stress in temporary wetlands

Fire-retardant formulations are increasingly used by fire managers to control wildland fires. Their extensive use requires an assessment of their impacts in those ecosystems that could be affected by them. Recent studies indicate the potential for environmental impacts when accidentally delivered to surface waters. Yet the response of temporary wetlands, such as vernal pools, typical in Mediterranean areas, is unknown. This study reports on the emergence response of a wetland population of Daphnia curvirostris Eylmann (Cladocera, Crustacea) from sediments that were treated with a commercial fire retardant (Fire-Trol 934). Three application levels were used: 1, 3 and 5 L m(-2). The low and medium levels are in the range of manufacturer's recommendations of use in the field based on the fuel characteristics. The high level simulates local elevated concentrations that may result from inhomogeneous retardant delivery. Results indicate that emergence success decreases with increasing application rate, leading to a complete failure with application levels of 5 L m(-2). This suggests that benthic-pelagic interactions in temporary wetlands-often the primary way by which recolonization of isolated wetlands occurs-can be significantly impacted by fire retardants once they fill with fall/winter rains, thereby serving as a sensitive indicator of fire-retardant contamination. Results highlight a research need for establishing of criteria for effective, but environmentally safe use of fire retardants in the environment.     

Framing the flood: a media analysis of themes of resilience in the 2011 Brisbane flood

In the wake of the flood that affected Brisbane, Australia, in January 2011, public attention turned to the causes of the event and lessons for minimizing the impacts of future floods. The news media was an important vehicle for understanding and internalizing the 2011 Brisbane flood. Examining how the flood was framed in the media is, therefore, useful to understand broad public perception of floods. We undertook a systematic newspaper analysis during a one-year period to explore media framings of the flood, focused on learning as an aspect of resilience in relation to two themes: (1) perceived links between the flood and climate change and (2) perceived roles of government in managing the flood. We show that media coverage of the flood reinforces aspects of resilience by acknowledging community spirit, self-reliance and the importance of sharing experiences for learning; articulating the risk of extreme events in a changing climate; and highlighting regional management trade-offs. Much of the discourse is likely to inhibit resilience, however, by casting the flood in terms of blame and political opportunity and paying inadequate attention to longer-term aspects of regional resilience. The limited learning observed to date may highlight a need for other mechanisms and actors to lead learning processes. As policy related to the 2011 Brisbane flood, and extreme events more generally, is influenced by the public discourse, it is important to understand the nuances of communication around these events and the media’s role in reinforcing or changing perceptions.     

An approach for environmental risk assessment of engineered nanomaterials using Analytical Hierarchy Process (AHP) and fuzzy inference rules

The usage of Engineered Nanoparticles (ENPs) in consumer products is relatively new and there is a need to conduct environmental risk assessment (ERA) to evaluate their impacts on the environment. However, alternative approaches are required for ERA of ENPs because of the huge gap in data and knowledge compared to conventional pollutants and their unique properties that make it difficult to apply existing approaches. This study aims to propose an ERA approach for ENPs by integrating Analytical Hierarchy Process (AHP) and fuzzy inference models which provide a systematic evaluation of risk factors and reducing uncertainty about the data and information, respectively. Risk is assumed to be the combination of occurrence likelihood, exposure potential and toxic effects in the environment. A hierarchy was established to evaluate the sub factors of these components. Evaluation was made with fuzzy numbers to reduce uncertainty and incorporate the expert judgements. Overall score of each component was combined with fuzzy inference rules by using expert judgements. Proposed approach reports the risk class and its membership degree such as Minor (0.7). Therefore, results are precise and helpful to determine the risk management strategies. Moreover, priority weights calculated by comparing the risk factors based on their importance for the risk enable users to understand which factor is effective on the risk. Proposed approach was applied for Ag (two nanoparticles with different coating) and TiO₂ nanoparticles for different case studies. Results verified the proposed benefits of the approach.     

Toward sustainable adaptation to future climate change: insights from vulnerability and resilience approaches analyzing agrarian system of Iran

There is no certainty that adaptation to climate change is sustainable, and new approaches to assess current climate change adaptation trajectories are sorely needed. In this paper, we review the farmer-focused approaches (typical of vulnerability approaches) and agro-ecosystem-focused approaches (typical of resilience approaches). We propose that a combination of the two may be a better way to conceptualize sustainable adaptation to future climate change within an agro-ecological system. To test our hypothesis, we use the case study of Iran, a land that has shown both tremendous resilience and vulnerability in its agro-ecological system. We explore the changes that have occurred in the Iranian farming system and their implications for farmers’ resilience to climate change through an integrated lens combining vulnerability approaches and resilience approaches. During the previous five decades, we describe how Iranian peasants have become small farmers, the land tenure system has changed from a traditional landlord-sharecropping system to family farms, and the quantity and quality of the agro-ecological resources have changed considerably. Our integrative approach provides important insights for both research and policy. We show that combining the two approaches can have far-reaching implications for farmers’ adaptation to future climate change knowledge, policy, and practice since one approach aims to decrease farmers vulnerability and the other approach aims to build resilient agro-ecosystems.     

Investigating the malleable socioeconomic resilience pathway to urban cohesion: a case of Taipei metropolitan area

It is known that globalization has led first- and second-tier cities’ urban restructuring trajectories, excreted pressures, and caused tremendous socioeconomic volatility. This resulted in marginalized communities in dire of social empowerment, employment structure variance, and industry sectoral adjustment. Moreover, recent successive climate and health crisis unfolded and affirmed the state of our urban incompetence to sustain socioeconomic resilience or otherwise; lacking swift responses in providing critical management and services, cites are facing multifaceted challenges. Urban well-being and resilience are at stake. Although the environmental and health dimensional effects are apparent, this study ascertains that the transept multi-scalar analysis within the urban socioeconomic structure is crucial in sustaining core resilience to foster health and well-being of the community. As an integral part of the investigation, the revised DPSIR assessment framework is applied to evaluate the sectoral shift; spatial structure disarray and urban codependence degree are examined within the Taipei metropolitan area (TMA), a medium size but densely populated metropolitan area in Taiwan. The place-based DPSIR analysis ascertained the states and impacts in TMA: (1) A population decline speeded the restructuring of the urban core, while the impact of demographic aging and shrinkage rate mandates proper management and planning responses to the decline process; (2) the socioeconomic state effect is determined but does not critically affect the periphery zone, while an uneven demographic shift within the urban core necessitates dynamic adjustment responses to appropriately provide intergenerational services; (3) the uneven sector redistribution stimulated the core’s spatial and structural inter-dependency with peripheral zones, requiring governance with tighter cross-administration cooperation among respective public sectors; and (4) facing the sector/temporal and demographic pressure, urban cohesiveness in the TMA is greatly affected, which in turn disrupts the resilience pathway toward a cohesion. The study ascertained that the revised DPSIR framework could provide cities facing pressing socioeconomic drivers with effective analysis to allocate pressures, states, and impacts and formulate the necessary responses. To assure the socioeconomic resilience and urban cohesiveness, planning policy should carefully monitor and evaluate socio-demographic and sector redistribution factors to promote the urban resilience.

     

Social network ties predict land use diversity and land use change: a case study in Ghana

Regional Environmental Change - While it is well documented that informal social ties play a role in information exchange on land management practices, the structural features of such networks that...     

Forest land conversion dynamics: a case of Pakistan

The present research focuses on estimating forest area change with respect to the ongoing forest land conversion. The study tests the hypothesis that forest land is being converted to the selected land use categories with high growth tendency and controlling deforestation rate to its half of the present level would significantly improve the land cover under forest. The rate of forest land conversion to other land use categories is analyzed and then compared with the total area expanded under three land use classes. We used Systems dynamic modeling approach to estimate forest area by simulating forest land conversion in Pakistan, projecting to 2030. The results show that rangeland, built-up area and cultivated land have increased over time; growth rate of built-up area (9%) is highest followed by rangeland area (1.7%) and cultivated area (0.3%), respectively; rangeland is the dominant category in terms of area expanded (0.74 m. ha). Sensitivity analysis showed that reducing deforestation rate to half of the past level of 1% could not significantly improve forest area; therefore, it is suggested that controlling deforestation alone is not an effective strategy unless drastic measures, e.g., demarcation of forest boundaries, land use control policy and afforestation campaign would be started in the country.     

Integration, synthesis and climate change adaptation: a narrative based on coastal wetlands at the regional scale

The idea that integration and synthesis are critical for designing climate change adaptation and mitigation is well entrenched conceptually. Here, we review the concepts of adaptation, synthesis and integration and apply them to the case study of coastal wetlands in South East Queensland, Australia. The distribution and condition of coastal wetlands will change as climate changes. This will create conservation challenges and economic costs, but these can be minimised by drawing from a broad sectoral perspective in undertaking adaptation planning and by ensuring integration into policy. Our review indicates that adaptations to sea level rise that are focussed on wetland and biodiversity conservation are likely to have impacts for urbanisation patterns. Planning regulations that provide spatial buffering around wetlands may give rise to more compact urban forms that may lead to reductions in the cost of defence against sea level rise, reduce energy usage per person and provide more green space. However, more compact urban forms could exacerbate heat island effects and place greater burden on the economically disadvantaged as, for example, single-family homes become more expensive. Planning for climate change needs to balance these equity and cross-sectoral issues in order to reduce the likelihood of unforeseen negative consequences.     

Prospects for Conserving and Restoring the Properties and Ecological Functions of Arable Soils

Changes in the properties and ecological functions of soils under the effect of farming are considered. Evidence is provided that optimization of the structure of land inventory with regard to environmental conditions in a concrete region is a promising approach to the conservation and restoration of disturbed and degraded soils. A classification of soils with respect to their arability is proposed as a theoretical basis for reorganizing agricultural land use.