Environmental and Sustainability Indicators最新文献

As human population growth drives the demand for food, crop intensification has increased. However, urbanization, industrialization, and contamination of soil by heavy metals (HM) have become significant challenges to agricultural production. Urbanization activities jeopardize and/or harm soil health, which is critical for the environment, ecosystems, sustainable agriculture, and the global economy. Smelting, mining, and other industrial activities that release toxic HMs into the environment significantly reduce soil health, with serious consequences for both plants and humans. Furthermore, the presence of HM in the soil severely hinders sustainable agriculture. Therefore, to counteract the subsequent decrease in crop yield due to HM contamination, we must involve plants and appropriate microbes in eliminating these pollutants. This will lead to a more productive agriculture, food safety, and food security realization. Therefore, this study explored the efficacy, advantages, and limitations of current conventional methods of soil HM remediation as well as the potential of plants and microbes like Pseudomonas aeruginosa, Vibrio parahaemolyticus, Alyxia rubricaulis, and Maytenus bureaviana in the reclamation of HM polluted soil for sustainable agriculture. Employing natural and non-hazardous methods to remove these contaminants, as highlighted in this review, would help to improve soil health and quality, increase crop production, and promote sustainable agriculture, as outlined in the United Nations' Sustainable Development Goals.

Mitigating maladaptation and effectively managing climate risks are crucial components of strategic planning in agriculture amidst climate change. Evaluation serves as a pivotal element in this process, facilitating the identification of effective adaptation strategies tailored to local contexts. Consequently, it's imperative to thoroughly evaluate these strategies to ensure their success and resilience. The current study evaluated adaptation methods tailored to the local context in southwest Iran across three categories-crop, farm, and water management-employing Multi-Criteria Decision-Making (MCDM) and the PROMETHEE-GAIA. Sensitivity analysis was performed during the AHP (Analytical Hierarchy Process) stage to confirm the criteria weights and in the PROMETHEE to confirm the ranking. A set of eight criteria, including effectiveness/importance, affordability, institutional feasibility, technical feasibility, social feasibility, traditional acceptance, flexibility, and environment side effects (positive) were applied to evaluate the adaptation measures. Our results indicated the three highest rankings in each set of measures, as follows: i) crop management—relay intercropping, change of crop type, and mixed intercropping; ii) farm management—pest and disease management, weed control, and crop rotation; iii) water management—lining water canals or covering their earth floors with nylon, using pipes rather than open canals to transfer water to the field, and increasing the time intervals between irrigations to deal with water shortages. The outcomes underscore the urgency of formulating region-specific adaptation policies that align with local expertise and contextual needs. By prioritizing the identified effective strategies, policymakers can enhance resilience against water scarcity in southwest Iran. Moreover, the study highlights the importance of ongoing evaluation and adaptation, emphasizing the dynamic nature of climate challenges and the need for continuous refinement of adaptive policies.

In the Northern highlands of Ethiopia, Eucalyptus plantations have been widely established since the 1970s. However, there have been debates and concerns about the impact of these plantations on ecosystem services. Therefore, the study aimed to assess the impact of monoculture Eucalyptus plantations on ecosystem service values (ESVs) in the upper Blue Nile part of Ethiopia. We used Landsat satellite images (captured in 1993, 2004, 2014, and 2023) for land use/cover assessment. The images were classified using the Random Forest (RF) algorithm in the R open-source software. For ecosystem services valuation, we used the benefit transfer method, which allowed us to estimate ESVs by applying both global and local value transfer coefficients. The results show a significant expansion of Eucalyptus plantations, with the highest net change (180%) between 1991 and 2023. The estimated global ESVs ranged from US$206 million in 1991 to US$208 million in 2023, with croplands contributing the largest share (75%). However, specific ESVs related to nutrient cycling, habitat refuge, pollination, and culture declined due to decreasing ESVs of forest land, shrub land, and grazing land over the study period (1991–2023). In addition, ESVs associated with food production declined in the latter period (2014–2023) due to the conversion of croplands into Eucalyptus plantations and shrub lands. This study highlights the need for informed decision-making in land use systems, considering the trade-off between increasing productivity and the loss of other ecosystem functions and services.

Island tourism has garnered growing attention especially with the rapid expansion of ecotourism in island destinations. While past research has explored the integrated development of island tourism, environment, and economy, there exists a demand for a more comprehensive exploration that incorporates social aspects. This study aimed to establish a comprehensive evaluation index system for island ecotourism using Amami-Oshima Island as an example. It uses four tourism subtypes, including environment, economic, social, and other-sector tourism, within the framework for island ecotourism. We employed a Coupling Coordination Degree Model and a Grey Verhulst model, utilizing data from Amami-Oshima Island from 2010 to 2021 as a basis for quantitative analysis of the current status of island ecotourism coupling coordination development and for making predictions. The research outcomes reveal the following: (1) Between 2010 and 2021, Amami-Oshima Island exhibited an overall upward trajectory in the comprehensive development of ecotourism. The environment-tourism subsystem demonstrated robust performance, the social-tourism subsystem displayed fluctuating growth, and the economic and the other-sector tourism dimensions generally progressed in tandem. (2) The coupling degree and coordination level of Amami-Oshima Island ecotourism showed an overall upward trend, with coordination evolving from a state of minimal coordination to an intermediate level. However, opportunities remain to enhance high-quality coordination through mutual influences and interdependencies. (3) Predictions indicate a slight increase in ecotourism coupling coordination on Amami-Oshima Island over the next nine years (2022–2030). Based on these findings, this paper presents several policy recommendations, serving as a guideline for ecotourism development on Amami-Oshima Island. The research results carry significant implications for understanding the present status and future trends of ecotourism on Amami-Oshima Island and offer valuable policy suggestions for the development of ecotourism on other islands.

Eco-efficiency is a vital tool for evaluating and advancing regional sustainable development. This study presents an urban eco-efficiency (UEE) framework that deserves widespread application. By using the Super Slacks-Based Measure model, the research calculates the UEE of 284 prefecture-level cities in China from 2005 to 2022. The study employs the Standard Deviational Ellipse to illustrate the spatiotemporal pattern of UEE in China and examines its effects using non-parametric kernel density estimation, the coefficient of variation, and both global and local Moran's I. The integration of UEE with urban development patterns, which is not immediately clear, is achieved through the entropy-based TOPSIS model. Additionally, the Malmquist index, the Two-way Fixed Effects (TWFE) model, and the Panel Vector Autoregression (PVAR) model reveal the dynamic changes and interactive driving mechanisms of UEE in China. The results indicate that: (1) UEE in China displays a consistent “core-periphery” pattern, exhibiting a notable hierarchical impact from regional, scale, and administrative perspectives. The complexity of UEE's spatiotemporal variations has increased due to the impact of COVID-19. (2) The UEE of Chinese cities shows a significant ‘club’ effect, with efficiency thresholds for high-high and low-low aggregations set at 0.8. (3) Only 25% of Chinese cities have achieved optimal UEE levels. Notably, cities in the west contribute most to national UEE growth, while midland cities contribute the least. The decreasing trend in UEE growth underscores the urgent need for a shift in China's urban development model. (4) UEE in China benefits from a resilient self-reinforcing mechanism, with urban development and economic growth significantly aiding UEE growth. Despite a non-significant negative impact from government intervention, the inhibitory effect of an intensive industrial structure on UEE turns into a promotional effect, especially following COVID-19.

This study advances the measurement of sustainable development in communities and destinations examining socio-ecological, environmental, cultural, and economic dimensions. By integrating qualitive insights within established indicator systems such as the European Tourism Indicator System, it addresses the limitations of traditional, solely quantitative approaches. Carrying out over 400 resident surveys in Co. Clare, Ireland, the research established sustainable indicators and assessed the destination's sustainability through resident-based metrics. For instance, 87% of residents believed that tourism benefits their community, yet only 23% of residents were satisfied with their involvement in planning. Thematic analysis of the open-ended responses provided crucial themes for sustainable destination management, highlighting resident concerns on transport, planning, management, and community involvement and benefits. The study concluded that relying solely on quantitative indicators, limits Destination Management Organizations (DMOs) and planners to Likert scale results, failing to capture nuanced impacts observed by destinations. The study highlights the insufficiency of solely using quantitative indicators, which risk oversimplifying community inputs and misinterpreting resident dissatisfaction, signally a need for diverse solutions to address varied concerns. The study also identified survey fatigue as a governance challenge, potentially hindering future sustainable development efforts. Aligning with the socio-ecological indicators of the community-environment-development nexus call for papers, this interdisciplinary research demonstrates the value of advanced indicator systems in promoting meaningful community engagement and supporting policy formulation for sustainable destination development. It offers a comprehensive framework for integrating resident perspectives and thematic insights into destination management, contributing to a more inclusive and community-based approach to tourism development.

Studying the drivers of China's carbon emissions at the provincial level can clarify differences in carbon emissions due to initial resource endowments and explore pathways to achieve China's 2030 carbon peak and 2060 carbon-neutral commitments (China's 30.60 decarbonization target). In this paper, the carbon emissions of 30 provinces in China during 2000–2019 were calculated using the emission coefficient method. The LMDI model was used to investigate each province's carbon emission drivers. On this basis, the STIRPAT model is used to predict the carbon emissions of each province under three scenarios: low carbon, baseline, and high carbon. The results show that: (1) China's carbon emissions have significant regional differences, and the trend of total carbon emissions is consistent with that of per capita carbon emissions; (2) Economic development contributes the most to regional carbon emission; (3) China's carbon emission trend can be divided into four patterns: gathering type, discrete type, overlapping type, and idiotype. The results enrich the research on carbon emission drivers and forecasts, provide targeted policy recommendations for China to coordinate regional economic development, energy conservation, and carbon emission reduction, and explore a path for China to achieve the 30.60 decarbonization goal.

Understanding farmers' land use behaviour is a prerequisite for designing effective policies that aim to protect and enhance biodiversity in agriculture. We develop a typology of Swiss farmers' land use patterns in terms of their agricultural production and biodiversity conservation. We contribute by adopting a comprehensive perspective encompassing not only EFAs (Ecological Focus Areas) but also non-EFAs. Relying on a sample of 2341 Swiss farm observations from the Farm Agri-Environmental and the Farm Accountancy Data Network, we conducted – for each agricultural region (plain, hill and mountain) – a K-means clustering to identify farmland use patterns. We considered four clustering variables, namely agricultural production intensity, the extent of a farm's participation in agri-environmental payment schemes and the impact of farm agricultural practices on the organismal biodiversity of 1) EFAs and 2) non-EFAs. The analysis reveals four distinct farmland use patterns beyond the classical dichotomy of low shares of EFAs and high agricultural production intensity versus high shares of EFAs and low agricultural production intensity. Three of the four land use patterns are similar across all agricultural regions. Our findings show that biodiversity enhancement is possible outside of EFA direct payment programmes. One cluster succeeded in exhibiting both a high agricultural production intensity and a high overall biodiversity score, which highlights that these dimensions are not mutually exclusive. The low or moderate use intensity of mineral fertilisers, pesticides and purchased feedstuffs in combination with a high use efficiency of these inputs seems to be the key to reconciling agricultural production and biodiversity conservation.

Physico-chemical water quality assessment is vital for wetland characterization, detecting environmental stress affecting the ecosystem and wetland management interventions. Therefore, this study aimed at comprehensive analysis of water quality parameters of six hydro-geologically connected wetlands in West Gojjam zone, Amhara region, Ethiopia. Water quality data was collected for one year (from June 2022 to April 2023) during four sampling seasons (pre-rainy, main-rainy, post-rainy and dry seasons) from twelve purposively selected sampling sites. In-situ measurements and nutrient analysis were carried out following standard procedures. Water quality index (WQI) was also computed by the weighted arithmetic water quality index method (WAWQI) based on selected parameters. Phosphate ranged from 0.24 mg/l (Kurt Bahir) to 1.80 mg/l (Zindib) and nitrate ranged from 2.12 mg/l (at Gudera) to 3.25 mg/l (at Geray). This increased nutrient concentration and the decreasing trend in DO level clearly indicates their ecological degradation. There was a statistically significant difference (P < 0.05, One-way ANOVA) in the mean measurements of some of the parameters among the study wetlands and among the study seasons. The PCA also clearly shows the most influential variables responsible for the variation among the wetlands. The study concluded that the wetlands water quality has been degraded. Therefore, regular water quality monitoring is recommended to reduce further deterioration.

The paper studies the relationships among the composite indicators of environmental performance, financial development, systemic risk and economic uncertainty for a balanced panel of 57 countries during 2010–2020. The analysis builds on panel local projections by Jordá (2005). In addition to the whole panel, this technique also applies to two sub-panels obtained via the K-means clusterization conditional on a set of composite indicators of environmental performance. We underscore a two-way relationship between systemic risk and environmental performance. An increase in systemic risk improves the environmental quality, albeit to the detriment of economic growth and energy consumption, whereas ex ante higher values of the key composite indicators of environmental performance mitigate systemic risk. Financial development adversely affects environmental performance. Contrary to the prevailing view, this effect is mostly related to the development of financial markets compared to the development of financial institutions. Economic uncertainty is found totally unrelated to the composite indicators of environmental performance. The aforementioned key findings generally hold after splitting the whole panel into the two sub-panels. Overall, our results induce policymakers to treat with caution certain policy recommendations aimed at improving environmental quality, since reducing systemic risk, increasing financial development as a whole or shifting towards a market-based financial system do not necessarily help accomplish this goal.