Pressure State Response Framework Research Articles

Integrating land quality in peri-urban agriculture for sustainability and green revolution in Vietnam

Agricultural Land Use Systems (LUS) contributes to Green Revolution (GR) and sustainable development in Vietnam, however, the GR exerts a dual impact-both positive and negative-on agricultural LUS in suburban regions. Land Quality Indicators (LQI) is integrated into the Pressure-State-Response (PSR) model to assess agricultural LUS across four landscapes in a peri-urban area of Hanoi capital city (Vietnam). The selected 75 indicators are subject to elimination based on the distinct natural and social contexts prevalent in each landscape. The findings indicate that primary pressures impinging upon agricultural LUS are dwindling irrigation water, escalating erosion resulting from cultivation, inadequate agricultural infrastructure, price imbalances, and pollution from industrial parks and craft villages. An amalgamation of traditional and high-tech solutions is recommended to enhance the quality of organic produce and foster stronger connections between suburban and urban. Integrating LQI into the PSR framework supplants conventional assessment methods, paving the way for more effective sustainable land use planning in peri-urban areas in the foreseeable future.

Environmental risk analysis of a Ramsar site: a case study of east Kolkata wetlands with PSR framework.

The East Kolkata Wetlands (EKWT), designated as a Ramsar Site for its crucial role in sewage water purification, agriculture and pisciculture, faces escalating environmental threats due to rapid urbanisation. Employing the pressure-state-response (PSR) framework and Environmental Risk Assessment (ERA), this study spans three decades to elucidate the evolving dynamics of EKWT. Using Landsat TM and OLI images from 1991, 2001, 2011 and 2021, the research identifies key parameters within the PSR framework. Principal component analysis generates environmental risk maps, revealing a 46% increase in urbanisation, leading to reduced vegetation cover and altered land surface conditions. The spatial analysis, utilizing Getis-Ord Gi* statistics, pinpoints risk hotspots and coldspots in the EKWT region. Correlation analysis underscores a robust relationship between urbanisation, climatic response and environmental risk. Decadal ERA exposes a noteworthy surge in high-risk areas, indicating a deteriorating trend. Quantitative assessments pinpoint environmental risk hotspots, emphasizing the imperative for targeted conservation measures. The study establishes a direct correlation between environmental risk and air quality, underscoring the broader implications of EKWT's degradation. While acknowledging the East Kolkata administration's efforts, the research recognises its limitations and advocates a holistic, multidisciplinary approach for future investigations. Recommendations encompass the establishment of effective institutions, real-time monitoring, public engagement and robust anti-pollution measures. In offering quantitative insights, this study provides an evidence-based foundation for conservation strategies and sustainable management practices essential to safeguard the East Kolkata Wetlands.

Ecological risk assessment under the PSR framework and its application to shallow urban lakes.

Shallow urban lakes are naturally vulnerable to ecosystem degradation. Rapid urbanization in recent decades has led to a variety of aquatic problems such as eutrophication, algal blooms, and biodiversity loss, increasing the risk to lake-wide ecological sustainability. Instead of a simple binary assessment of ecological risk, holistic evaluation frameworks that consider multiple stressors and receptors can provide a more comprehensive assessment of overall ecological risk. In this study, we analyzed a combined dataset of government statistics, remote sensing images, and 1year of field measurements to develop an index system for urban lake ecological risk assessment based on the pressure-state-response (PSR) framework. We used the developed ecological safety index (ESI) system to evaluate the ecological risk for three urban lakes in Jiangsu Province, China: Lake Yangcheng-LYC, Lake Changdang-LCD, and Lake Tashan-LTS. LYC and LTS were classified as "mostly safe" and "generally recognized as safe," respectively, while LCD was assessed as having "potential ecological risk." Our data suggest that socioeconomic pressure and aquatic health are the two main factors affecting the ecological risk in both LYC and LCD. The ecological risk of LTS could be improved more effectively if regional management plans are well implemented. Our study highlights the pressure of external wastewater loading, low forest-grassland coverage, and lake shoreline damage on the three selected urban lakes. The findings of this study can inform watershed management for lake ecosystem restoration and environmental sustainability.

Regional Ecological Security Assessment Based on the Pressure–State–Response Framework: The Demonstration Zone of Yangtze River Delta as an Example

Ecological security is related to human well-being, is closely linked to a region’s sustainable development, and is an essential cornerstone of any national security system. The Demonstration Zone of Green and Integrated Ecological Development (DZGIED) of the Yangtze River Delta is a critical point in implementing the integrated development strategy of the Yangtze River Delta. This paper used the Pressure–State–Response (PSR) framework to evaluate the regional ecological security (RES) in the DZGIED based on multi-source remote sensing and GIS data. And the analysis was conducted from the overall and administrative division perspective. The results show that (1) from 2000 to 2020, the ecological security of the DZGIED shows a slight decline overall. The RES decreased from 0.60 to 0.53. The RES level is kept above the critical security level and needs further improvement. (2) Significant differences in the RES across townships, with more pronounced changes in extreme values. The ecological security status of more than 80% of the townships shows solid positive spatial correlations. The ecological security of the DZGIED is more critical to the central area. (3) Human disturbance is the most important factor causing the decline in ecological security and the impact of environmental safety on the central area is more enormous. (4) The ecological security state of the DZGIED shows an improving trend, but it is still necessary to promote the construction of various demonstration projects. This paper aims to ensure the sustainable development of the DZGIED in the future and to provide guidance for policy formulation on ecological safety in the DZGIED from the perspective of administrative divisions. It also provides a reference for small-scale regional ecological safety evaluation studies such as townships.

Evaluation of Flooding Disaster Risks for Subway Stations Based on the PSR Cloud Model

This study aims to scientifically evaluate the risk of rainstorm waterlogging disasters in urban subway stations, improve the management of disaster prevention and control, and mitigate the impact of such disasters. To achieve this, a risk assessment analysis was conducted using the Pressure-State-Response (PSR) cloud model. The analysis involved examining the components of the subway station rainstorm waterlogging disaster system, including the disaster-prone environment, disaster-affected body, and disaster-causing factors. Based on the PSR framework, a risk assessment index system for rainstorm waterlogging disasters in subway stations was developed. The entropy weight method and cloud model algorithm were then combined to establish a risk assessment method. By utilizing a cloud generator, the digital characteristics of the risk cloud were calculated, and a risk cloud map was generated to determine the level of risk. Finally, an empirical analysis was carried out at Jin’anqiao Station of the Beijing Subway, providing valuable insights for the evaluation of rainstorm waterlogging disasters in subway stations.

Comparative effect of conventional and adaptive management approaches on watershed health

Watershed management initiatives are designed to conserve essential soil, water, and vegetation resources while ensuring production and agricultural sustainability. As a result, assessing watershed management projects is a must for future executive planning and natural resource management. However, there has yet to be a quantitative performance evaluation of alternative watershed management techniques on the watershed's overall health. The current study used the pressure-state response (PSR) conceptual framework to assess watershed health in the current scenario and identify the related functional criteria and indicators at the sub-watershed level. Field surveys and reviews of available information were used to identify and characterize current watershed concerns and challenges. The PSR framework was used to assess the impact of conventional watershed management measures and a problem-oriented adaptive management strategy on watershed health in the Mikhsaz Watershed in northern Iran. The influence of changes in the contribution of the study criteria to the health and corresponding scenarios on modifying the watershed health was evaluated. A health index score of 0.68 revealed a healthy class in the current circumstances. The health index was somewhat enhanced after adding the typical or conventional measurements in the research area (i.e., 0.69). Adaptive management techniques in response to the identified issues improved the watershed's health index by 7.2% (i.e., 0.74) in a more efficient, technically acceptable, and ecologically benign manner. As a result, the adaptive management measure increased economic productivity by 61% compared to the conventional measures. The study's findings call for a global revival in watershed management policy, focusing on developing nations.

Regional Climate Change Adaptation Based on the PSR Model—Multi-Case Comparative Analysis on a Global Scale

Regional climate change is affected by global warming, large-scale inter-regional circulation, and land use/cover. As a result of different ecological, economic, and social conditions, climate adaptation actions vary from region to region, including community-based adaptation in small island developing states, enhancing flood resilience in Europe, weather index insurance promotion in Africa, climate change adaptation based on traditional knowledge in the Polar Regions, and global joint decision-making in terms of regional issues of the Ocean. This paper takes the above five typical cases as the research objects, and the multi-case comparative research method is adopted to discuss regional climate change adaptation based on the pressure–state–response framework. It found that: (1) regional climate change adaptation faces significant pressure from cross-regional flows of finance, population, and species under climate change; (2) climate change hotspot maps based on climate change projections show regional climate vulnerability; (3) responses for regional climate change adaptation require active promotion of multi-level governance with horizontal and vertical cooperation. In the future, regional climate change adaptation should focus on inter-regional climate justice and equality, regional climate change adaptation pathways optimization, and how to effectively learn from typical regional climate adaptation cases.

Assessment of Urban Ecological Resilience Based on PSR Framework in the Pearl River Delta Urban Agglomeration, China

Studying resilience provides an opportunity to address a range of urban environmental problems. However, existing studies pay little attention to urban ecological resilience (UER), and the system of assessing urban resilience pays little attention to the process attribute of resilience. This study focuses on UER and constructs an evaluation framework based on the pressure _state _response (PSR) framework. The ‘pressure’ indicator morphological resilience (MR) is evaluated using source _sink landscape theory. The ‘state’ indicator density resilience (DR) is evaluated using the ratio of ecological carrying capacity to ecological footprint. The ‘response’ indicator uses indicators of economic structure, vitality, and innovation for evaluation. We found that the MR and DR of the study area in 2020 showed a spatial layout of low in the central area and high in the peripheral areas, while the high-value ER area was in the central part. The average district and county MR was 1.44, DR was between 0.003 and 1.975, and ER was 0.32; overall, ER and MR are better in the study area, but DR is worse. The spatial layout of comprehensive UER was found to be low in the middle and high in the periphery of the study area. Some areas with low MR and DR have high UER, which verifies the compensation effect of ER on urban ecology. This study provides a new method for assessing UER, and the findings can provide useful information for urban planning.

Fuzzy Assessment of Ecological Security on the Qinghai–Tibet Plateau Based on Pressure–State–Response Framework

Climate change and human activities have caused a wide range of ecological risks in the Qinghai–Tibet Plateau (QTP) over the past two decades, such as land degradation and biodiversity loss. Therefore, it is imperative to assess the ecological security and drivers for its sustainable development. However, there still lacks a spatial understanding of ecological security in the QTP, as well as the geographic driving forces. In this study, a pressure–state–response (PSR) framework and the coupled fuzzy and obstacle degree models were used to evaluate the spatial pattern and factors that modulate ecological security of the QTP. The southeast of the plateau exhibited high pressure and state levels, indicating that population and economic development activities were concentrated in these regions owing to the good natural conditions. The ecological security evaluation value of the QTP is moderately low, with a median value of 47.4 (the full mark is 100). Seven regions with low ecological security were identified where targeted planning and governance measures should be implemented based on the local natural and economic conditions. Population density, net primary productivity index (NPP) of vegetation, and GDP per unit area were the main factors that modulated ecological security in the QTP, with obstacles accounting for 17.52%, 13.20%, and 12.97%, respectively. These results improve our understanding of the major vulnerable areas and main driving forces of ecological security, providing key information for optimization of ecological security pattern in the QTP.

Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China

With rapid urbanization and extreme rainstorm events associated with climate change, urban waterlogging has become one of the most frequent and severe disasters globally. In this study, a multi-dimensional and multi-process index system based on the Pressure-State-Response (PSR) framework was developed to measure the level of urban waterlogging resilience (UWR). The spatial distribution of UWR on a block scale was explored based on the entropy weight method with the natural breakpoint method (EWM-NBM) in the central district of Wuhan City, China. In addition, the effects of the runoff control facilities and early warning measures on UWR were also quantified. Further, the Geodetector was used to investigate the main driving factors of UWR and their interactions. Results showed that the constructed index system for UWR based on the PSR framework performed reasonably, and the EWM-NBM was validated to be effective in the integrated assessment. In terms of the validation results, 82.72 % of the recorded waterlogging points belonged to high and very-high risk levels. The spatial heterogeneity of UWR was significant in the study area where the higher-level UWR mainly appears in the areas near the undeveloped suburban and water bodies (lakes and rivers), and the lower-level UWR was concentrated in central urban areas with more impervious surfaces. There was a clear increasing trend in UWR after the implementation of runoff control facilities and early warning measures, but its spatial distribution remained almost invariant. Among all the indexes, the impervious surface percentage had the strongest (69.58 %) explanatory ability for the UWR, and mean annual precipitation (15.51 %), GDP (14.03 %), and population density (11.98 %) also demanded attention. Most driving factors of UWR showed nonlinear interactions. This research could provide a benchmark for urban planning to enhance UWR to mitigate the waterlogging within the main urban area.

Urban flood resilience assessment using RAGA-PP and KL-TOPSIS model based on PSR framework: A case study of Jiangsu province, China.

The research on urban flood resilience will contribute to building a more resilient city and provide valuable reference for municipal decision-makers. There are many frameworks and approaches for empirical studies on what constitutes urban flood resilience and how to evaluate it. In this study, a typical region suffering from flood disaster in China-Jiangsu Province was selected as the study area, including 13 prefecture-level cities. The pressure-state-response (PSR) framework, the projection pursuit based on real-coded accelerated genetic algorithm (RAGA-PP) and the technique for order preference by similarity to an ideal solution based on the Kullback-Leibler distance (KL-TOPSIS) were combined to develop a hybrid multi-criteria approach for assessing urban flood resilience. Then the grey relational analysis obtained the important factors. The results illustrate that (1) the development of each subsystem in the city is uncoordinated, that is, the pressure-subsystem has little influence on urban flood resilience, while the state-subsystem and the response-subsystem have great influence. (2) The urban flood resilience in Jiangsu Province presents obvious polarization trend, that is, Southern Jiangsu is more resilient than Northern Jiangsu. The underlying factors are closely related to the level of economic development. Furthermore, the proposed method provides a practical evaluation approach for other fields.

Constructing fuzzy composite indicators to support water policy entrepreneurship

Composite indicators play a very useful role in supporting international policy entrepreneurship, helping to inform decision-making processes and to address conflicts between countries. In this paper we present a Fuzzy Data Envelopment Analysis (Fuzzy-DEA) model to construct composite indicators based on time series under the Pressure-State-Response (PSR) approach in order to evaluate water security in 10 European water security hotspots. First, we identified nine indicators within the PSR framework. Second, we aggregated the indicators in each PSR set using a Fuzzy-DEA model. Finally, we compared the PSR results under pessimistic, optimistic and neutral scenarios. Results show that, overall, Bulgaria achieved the best pressure, state and response performance. In terms of responses, Spain registered the best performance after Bulgaria, despite the fact that it suffers from the highest pressures of all the analyzed countries. Estonia achieved the best state performance in all three scenarios, but worse results in responses than Bulgaria and Spain. Cyprus and Belgium registered the highest variability for pressures, Spain for state and Portugal for responses.The model was able to pinpoint the problems that political strategies and urgent actions should seek to tackle, while providing information regarding the variability of the indicators over time.

Enhancing Digital Innovation for the Sustainable Transformation of Manufacturing Industry: A Pressure-State-Response System Framework to Perceptions of Digital Green Innovation and Its Performance for Green and Intelligent Manufacturing

Low carbon and digitalization are the general trends of manufacturing upgrading and transformation. Digital technology enables the whole process of green manufacturing and breaks down the spatial barrier. To achieve the dual carbon goals, the pressure-state-response (PSR) model, in which digital technology enables the green innovation of the manufacturing industry, was theoretically analyzed in this study. The measurement system of the digital green innovation (DGI) in the manufacturing industry was constructed according to the PSR framework. An evaluation model based on the analytic hierarchy process and the deviation maximization technique for order preference by similarity to an ideal solution method was constructed to measure the level of DGI. The results of this study from Chinese manufacturing are as follows. (i) The measurement system of the level of DGI in manufacturing industry includes a pressure system, state system and response system. (ii) In the past five years, the comprehensive index of the DGI in manufacturing industry has generally shown a trend of fluctuating rise. There are overall low and unbalanced phenomena in all regions. The gap decreased from 0.1320 to 0.1187, showing a gradually narrowing trend. (iii) Compared with other regions, the composite index of DGI is generally higher in the regions with a better ecological environment in the east and a more developed economy in the north. State parameters are higher than pressure and response parameters in most areas. (iv) Compared with other regions, the composite index of DGI in western and southern regions is lower, and the parameters of pressure, status and response are basically coordinated. (v) The application degree of digital technology, the emission intensity of waste water/exhaust gas of output value of one hundred million yuan and the expenditure intensity of digital technology adopted by enterprises are the key influencing factors of DGI in the manufacturing industry. This study not only proposed an evaluation index system of the digital green innovation level, but also puts forward policy guidance and practical guidance of digital technology to accelerate the green and intelligent manufacturing industry.

Fuzzy evaluation of the ecological security of land resources in mainland China based on the Pressure-State-Response framework

The extensive exploitation and use of land resources has caused a variety of land degradation problems including soil erosion, desertification and salinization in China, which gradually raises our concerns of ecological security. However, there still lacks an understanding of ecological security of land resources at the national scale. Moreover, few studies conduct the validation and uncertainty analysis of models for ecological security evaluation, which tends to undermine the reliability of evaluation results. Here we followed the Pressure-State-Response (PSR) framework to systematically construct the evaluation index system for ecological security, and developed fuzzy evaluation models to convert the original index data into individual index scores. After that, we used the multiplicative model to aggregate the individual index scores into a comprehensive evaluation score for the ecological security level of land resources across the Chinese mainland. To enhance the reliability of evaluation results, we validated our results by comparing with the proxies of ecological effects including landscape pattern index, land use change rate and net primary productivity, and made uncertainty analysis using the Monte Carlo method. Finally, we applied an obstacle model to quantify the negative contribution of pressure, state and response which would deter the security from achieving the optimal condition. The results showed that our model could effectively reflect the ecological security level of land resources. The pressure was higher in the east and lower in the west of China, and that of urban areas was much higher than the rural areas, reflecting the disturbance of socio-economic activities. The state condition was strongly related to natural conditions. The response level, determined mainly by socio-economic conditions, was higher in the southeast and northwest of China but lower in the northeast and southwest of China. The ecological security level was structured by natural and socio-economic conditions and demonstrated a high level of security in the southeast while a low level in the northwest. Developed urban areas often had low security due to strong socio-economic pressure. Areas with unfavorable natural and environmental conditions had poor state level, which tended to cause lower response capability, and consequently led to a low security level. Our research improves the understanding of national ecological security and its obstacle factors, which supports the management and sustainable use of land resources at the national scale.

Ecosystem Health Assessment Based On Pressure State Response Framework Using Remote Sensing and Geographical Information System

Ecosystem health (EH) is an important parameter for an areas sustainable development. This research work used remote sensing and GIS based ecological indicators under pressure-state-response (PSR) framework for ecological health assessment. Total 15 indicators were developed, from that 12 and 3 indicators were categorized for pressure and state indicators. Finally derive ecosystem health in Samara region, Russia under PSR framework, which provide an important decision making support for regional sustainable development with highly accurate new technology and can use for regular environmental mapping and monitoring.

Health assessment of small-to-medium sized rivers: Comparison between comprehensive indicator method and biological monitoring method

Small-to-medium sized rivers play an important role in aquatic ecosystem functioning. In developing countries, limited by the number of monitoring sites in small-to-medium sized rivers, a single standard river health assessment method may not be able to reflect the actual situations under the pressure of increasing human activities and water conservancy projects. How to assess the health status of these rivers is of global concern. In this study, a small-to-medium sized river in China - Qiaobian River (QBR) was assessed by two essential river health assessment methods, i.e., Macroinvertebrate habitat suitable curve (M−HSC) and Pressure-State-Response framework (PSR). The applicability of the two methods was evaluated. The results demonstrated that both methods were suitable and achieved a better accuracy than water quality assessment framework, a standard method that has been widely applied to small-to-medium sized rivers in China, while minor differences in effectiveness were found between the two methods. Although both PSR and M−HSC methods showed the same health degree in wet season, M−HSC is more recommendable due to its convenience. On the contrary, in dry season, PSR better reflected the actual situations of QBR than M−HSC. The PSR was more applicable to urban rivers when evaluating the impacts of anthropogenic disturbances to river health, in contrast to M−HSC which was better suitable for rivers in rural areas to evaluate the effects of water conservancy projects. Our findings provide a new perspective on assessing health of small-to-medium sized rivers and important implications for ecological indication and conservation.

Evaluating Environmentally Sustainable Development Based on the PSR Framework and Variable Weigh Analytic Hierarchy Process.

Environmentally sustainable development is a multidimensional concept that emphasizes the integration of economy, society and environment within a region and the realization of dynamic balance. How to objectively environmentally sustainable development has been a major concern for scholars and policy makers. To address this problem effectively, we first obtain the indicators of environmentally sustainable development based on the pressure-state-response (PSR) framework. Then, we introduce variable weight factors in the traditional analytic hierarchy process (AHP), so that the weights assigned by experts to sustainable development indicators can change with time or space. In this way, we propose a new and improved weight distribution method called variable weigh analytic hierarchy process. Finally, we employ indicators of environmentally sustainable development based on PSR and variable weigh analytic hierarchy process to evaluate the sustainable development of cities in a case country. Our study found that: (1) indicators of environmentally sustainable development should consist of three parts: pressure indicators of environmentally sustainable development, state indicators of environmentally sustainable development, and response indicators of sustainable development; (2) with the variable weigh analytic hierarchy process, our ranking hierarchy process can handle dynamic changes among indicators better than the traditional AHP method and better reflect the true states of indicators.

Modeling the impact of the COVID-19 lockdowns on urban surface ecological status: A case study of Milan and Wuhan cities

The COVID-19 pandemic has caused unprecedent negative impacts on our society, however, evidences show a reduction of anthropogenic pressures on the environment. Due to the high importance of environmental conditions on human life quality, it is crucial to model the impact of COVID-19 lockdown on environmental conditions. Consequently, the objective of this study was to model the impact of COVID-19 lockdown on the urban surface ecological status (USES). To this end, the Landsat-8 images of Milan for three pre-lockdown dates (Feb 13, 2018 (MD1), April 18, 2018 (MD2) and Feb 3, 2020 (MD3)) and one date over the lockdown (April 14, 2020 (MD4)), and Wuhan for three pre-lockdown dates (Dec 17, 2017 (WD1), March 23, 2018 (WD2) and Dec 7, 2019 (WD3)) and one lockdown date (Feb 9, 2020 (WD4)) were used. First, pressure-state-response (PSR) framework parameters including index-based built-up index (IBI), vegetation cover (VC), vegetation health index (VHI), land surface temperature (LST) and Wetness were calculated. Second, by combining the PSR framework parameters based on comprehensive ecological evaluation index (CEEI), the USES were modeled on different dates. Thirdly, the USES during the COVID-19 lockdown was compared with the USES for pre-lockdown. The mean (standard deviation) of CEEI for Milan on MD1, MD2, MD3 and MD4 were 0.52 (0.12), 0.60 (0.19), 0.57 (0.13) and 0.45 (0.16), respectively. Also, these values for Wuhan on WD1, WD2, WD3 and WD4 were 0.63 (0.14), 0.67 (0.15), 0.60 (0.13) and 0.57 (0.13), respectively. Due to the lockdowns, the mean CEEI of built-up, bare soil and green spaces for Milan and Wuhan decreased by [0.18, 0.02, 0.08], [0.13, 0.06, 0.05], respectively. During the lockdown period, the USES improved substantially due to the reduction of anthropogenic activities in the urban environment.

Regional Land Eco-Security Evaluation for the Mining City of Daye in China Using the GIS-Based Grey TOPSIS Method

Regional ecological security assessment is a significant methodology for environmental protection, land utilisation, and human development. This study aims to reveal the regional constraints of ecological resources to overcome the difficulties and complexities in quantification of current models used in land ecosystems. For this purpose, the technique for order preference by similarity to an ideal solution (TOPSIS) was linked to a grey relational analysis and integrated with a geographic information system. The obtained method was used to construct a land eco-security evaluation on a regional scale for application in a traditional mining city, Daye, in central China. Parameter analysis was introduced to the method to produce a more realistic spatial distribution of eco-security. Subsequently, based on the pressure–state–response framework, the eco-security index was calculated, and the carrying capacity of land resources and population for each sub-region were analysed. The results showed that: (i) very insecure and insecure classes comprised 5.65% and 18.2% of the total area, respectively, highlighting the vulnerable eco-environmental situation; (ii) moderate secure classes areas comprised a large amount of arable land, spanning an area of 494.5 km2; (iii) secure areas were distributed in the northwest, containing mostly water and wetland areas and accounting for 426.3 km2; and (iv) very secure areas were located on the southeastern region, involving traditional woodland with a better vegetation cover and an overall higher eco-environmental quality. In addition, for each sub-region, the extremely low and low ecological security areas were mainly arable and urban lands, which amounted to 305 and 190 km2, respectively. Under the current ecological constraints, sub-region 1 cannot continue supporting the population size in Daye City. The present results demonstrate the accuracy of our methodology, and our method may be used by local managers to make effective decisions for regional environment protection and sustainable use of land resources.

Diversified responses to contemporary pressures on sloping agricultural land: Thai farmer’s perception of mountainous landscapes in northern Vietnam

Mountains cover approximately three quarters of the Vietnam, mainly in the north, west, and central parts of the country. Among the 38 ethnic minorities inhabiting the northern mountains of Vietnam, the Thai population is the second largest. Cultural landscapes and traditional agricultural uplands shaped by the Thai have a long history and represent a mosaic of paddy and vegetable fields along rivers and springs, forests and plantations of trees on slopes. This pattern is now changing significantly, which results in a diversification of the fields shaped by Thai farmers. This study deals with understanding the pressures driving the changes, the new state of the upland agriculture, and the way the Thai of the Son Thinh mountain (Yen Bai, Vietnam) respond to sustain their upland farming systems. Land quality indicators (LQIs) are identified using the pressure–state–response (PSR) framework. Sixty completed questionnaires with 65 closed questions each using a five-point Likert scale were collected in 2016. The results show that Thai farmers nowadays apply a wider-scale solutions to deal with the sustainability of agricultural upland on the slopes as compared to a limited number of traditional farming techniques that were used in the past. Climate change hazards (floods, droughts, landslides, extreme cold, and flash floods), the scarcity of irrigation water, and agricultural land put pressure on the slopes. The most noticeable socioeconomic impacts are migration, population growth, and unstable input and output prices. The most considerable changes in the state of the land quality are soil erosion, land degradation, and local cultivation practices. Modifying cultivation options, applying soil conservation practices, improving indigenous techniques, and implementing agricultural land use policies are the most significant responses to modify land use and its pressures. Responses of the Thai farmers on sustainable sloping land use are put in a structural model with a horizontal diversification strategy. Recommendations concern mainstreaming the local indigenous knowledge on agricultural land use, land management policies, and implementing the LQIs based on PSR framework for sustainable land use planning on the slopes in Vietnam.