Regional Sustainability最新文献

With the rapid improvement of urbanization and industrialization in countries around the world, how to effectively solve the rapid demise of traditional villages is a social dilemma faced by all countries, which is why a series of relevant protection regulations have been promulgated in different historical periods. However, the formulation of relevant policies is still not scientific, universal, and long-term. In this study, we constructed an evolutionary game model of local governments and residents based on the evolutionary game theory (EGT), which is used to explore the evolutionary stability strategy (ESS) and stability conditions of stakeholders under the premise of mutual influence and restriction. Besides, the study also includes the analysis about the impacts of different influence factors on the evolution tendency of the game model. At the same time, numerical simulation examples were used to verify the theoretical results and three crucial conclusions have been drawn. Firstly, the strategic evolution of stakeholders is a dynamic process of continuous adjustment and optimization, and its results and speed show consistent interdependence. Secondly, the decision-making of stakeholders mainly depends on the basic cost, and the high cost of investment is not conducive to the protection of traditional villages. Thirdly, the dynamic evolutionary mechanism composed of different influence factors will have an impact on the direction and speed of decision-making of stakeholders, which provides the basis for them to effectively restrict the decision-making of each other. This study eliminates the weaknesses of existing research approaches and provides scientific and novel ideas for the protection of traditional villages, which can contribute to the formulation and improvement of the relevant laws and regulations.

Scaling-up agroforestry areas in various forms is a scientific path towards achieving various sustainable development goals (SDGs), especially improving livelihood, reducing poverty, conserving environment and biodiversity, and transforming climate change. In this study, the effort was made to investigate the land potentiality for agroforestry at the district level in Jharkhand State, India by applying geographic information system (GIS) modeling technology using climate (temperature and precipitation), topography (slope and elevation), ecology (percent tree cover and normalized difference vegetation index (NDVI)), and social economics (poverty rate and tribal dominance) factors. The results revealed that six districts of Jharkhand State had agroforestry potential greater than 60.00%. The highest agroforestry suitability was found in Simdega District (78.20%), followed by Pakur (76.25%), West Singhbhum (72.70%), Dumka (68.84%), Sahibganj (64.63%), and Godda (63.43%) districts. Additionally, we identified 513 out of 32,620 villages of Jharkhand State potentially suitable (agroforestry suitability ≥80.00%) for agroforestry with the objective of life improvement among marginalized society. Under the outside forest area, 8.58% of the total geographical land of Jharkhand State was wasteland, much of which was found suitable for agroforestry practices. The agroforestry setups in those wastelands can absorb 637 ​t carbon annually in long run and can provide direct economic benefits to the locals besides additional income for carbon emission reduction. This study concluded that Jharkhand State has plenty of high potential land for agroforestry, and adoption of agroforestry at the village level must be given high priority. This study could guide the nodal authorities to prepare appropriate strategies for scaling the tree cover in agroforestry systems in village-level landscape planning which needs policy attention and investment for achieving 9 out of the 17 SDGs.

Drylands are highly vulnerable to climate change and human activities. The drylands of China account for approximately 10.8% of global drylands, and China is the country most severely affected by aridity in Asia. Therefore, studying the spatial variation characteristics in soil multifunctionality (SMF) and investigating the driving factors are critical for elucidating and managing the functions of dryland ecosystems in China. Based on the environmental factors (mean annual precipitation (MAP), mean annual temperature (MAT), solar radiation (Srad), soil acidity (pH), enhanced vegetation index (EVI), and cation exchange capacity (CEC)) and aridity from the Dataset of soil properties for land surface modeling over China, we used non-linear regression, ordinary least square (OLS) regression, structural equation model (SEM), and other analytical methods to investigate the relationships of SMF with environmental factors across different aridity levels in China. SMF in different dryland regions varied significantly and showed a patchy distribution, with SMF index values ranging from −1.21 to 2.42. Regions with SMF index values from −0.20 to 0.51 accounting for 63.0% of dryland area in China. OLS regression results revealed that environmental factors like MAP, MAT, Srad, pH, EVI, and CEC were significantly related to SMF (P ​< ​0.05). MAP and MAT were correlated to SMF at the whole aridity level (P ​< ​0.05). SEM results showed that the driving factors of SMF differed depending on the aridity level. Soil pH was the strongest driving factor of SMF when the aridity was less than 0.80 (P ​< ​0.001). Both soil CEC and EVI had a positive effect on SMF when aridity was greater than 0.80 (P ​< ​0.01), with soil CEC being the strongest driving factor. The importance ranking revealed that the relative importance contribution of soil pH to SMF was greatest when aridity was less than 0.80 (66.9%). When aridity was set to greater than 0.80, the relative importance contributions of CEC and EVI to SMF increased (45.1% and 31.9%, respectively). Our findings indicated that SMF had high spatial heterogeneity in drylands of China. The aridity threshold controlled the impact of environmental factors on SMF.

Bulukumba Regency is one of the major rice-producing areas in South Sulawesi, Indonesia and has experienced frequent climate disasters over the past decade. Several downstream villages within the Bettu River irrigation area have been affected by the drought, culminating in reduced lowland rice production and increasing the vulnerability of farmers’ livelihoods. This study aims to evaluate the vulnerability of the livelihood system among rice farmers in the Bettu River irrigation area by classifying the area into two zones based on the distance from the main irrigation canal, namely the upstream area and downstream area. The livelihood vulnerability index (LVI) framework and livelihood vulnerability index-Intergovernmental Panel on Climate Change (LVI-IPCC) approach were applied by selecting geographic and socio-demographic indicators that affected the farmer households, including 8 major components and 26 sup-components. The data for LVI-IPCC estimation were collected by randomly selecting 132 households from villages in the two areas. The empirical results showed that farmers in the downstream area were more vulnerable to climate change than farmers in the upstream area. The major components causing the livelihood vulnerability of the downstream farmers were livelihood strategy, food, water, land, health, as well as natural disasters and climate variability. In particular, the sub-components of agricultural livelihood diversification, consistent water supply for farming, and drought events were important in the downstream area. Farmers in the upstream area were vulnerable to socio-demographic profile and social network components. The LVI-IPCC findings suggested that the government should prioritize farmers in the downstream area to develop resilience strategies, particularly by increasing irrigation infrastructure and the number of reservoirs and drilling holes. Furthermore, to increase their adaptive capacity in terms of diversification of agricultural livelihood systems, the government and donor agencies need to provide trainings on the development of home food industries for poor farmers and vulnerable households that were affected by disasters.

Climate change is expected to threaten the developing countries the most. Nepal is considered one of the five countries most vulnerable to climate change in the world. The mountainous area such as Rasuwa District in Nepal is more vulnerable due to complex topography, human activity (tourism), and climate change. In this context, we carried out this study to assess the climate change and its impact on agriculture production as well as people's perceptions on the impact of climate change. The long-term (1980–2014) observed climate data (temperature and precipitation) and field-based survey data on people's perceptions were analyzed. Mann-Kendall trend test and Sen's slope estimation were used to analyze the temperature and precipitation trends. Furthermore, key informant interviews (KIIs) and focal group discussions (FGDs) were conducted to understand people's perceptions of the impact of climate change on agricultural production. Further, ERA5 and APHRODITE datasets were used to compare the in situ climate data. The maximum temperature and total precipitation in summer monsoon (June–September) were found increasing significantly at rates of 0.07°C/a and 19.89 mm/a, respectively. But the minimum winter temperature and winter precipitation were found decrease by 0.05°C/a and 4.89 mm/a, respectively. Moreover, a large number of respondents reported a decrease in millet and wheat productions while an increase in potato production over the considered time duration (1990–2014). It is noteworthy that the respondents from the mid-elevation regions perceived an increasing trend in crop production compared to those from the low elevation regions. In recent years, people living in the high elevation regions of Rasuwa District have started to shift their cropping calendar to increase agricultural production. This study will provide useful information for policy-makers in formulating adaptation strategies in mountainous areas of Nepal.

Sustainable livelihood security (SLS) is an integrating framework that encompasses current concerns and policy requirements for ecological, social, and economic dimensions of sustainable development. It carries particular importance for developing economies. This study intends to verify the relative status of SLS of the 30 districts in Odisha, which is a backward state in eastern India. In this study, a total of 22 relevant indicators relating to the three components of SLS—ecological security, social equity, and economic efficiency have been taken, based on various kinds of government reports. The principal component analysis (PCA) has been used to ascertain the indicators and the importance of each of them to the corresponding component of SLS. The ecological security index (ESI), social equity index (SEI), economic efficiency index (EEI), and composite sustainable livelihood security index (CSLSI) of each district of Odisha were calculated through the min-max normalization technique. The results revealed that there are wide variations in SLS among the districts of Odisha. In this study, the districts are categorized into four levels based on scores of ESI, SEI, EEI, and CSLSI as very low (<0.400), low (0.400–0.549), medium (0.550–0.700), and high (>0.700). According to the classification result of CSLSI, 2 districts are found to be in the very low category, 20 districts are under the low sustainability category, 8 districts are in the medium category, and none of the districts are found to be in the high sustainability category. The district of Sambalpur ranks the highest with a CSLSI score of 0.624. The bottom five districts are Gajapati, Bolangir, Nabarangpur, Kandhamal, and Malkangiri, having the CSLSI scores of 0.438, 0.435, 0.406, 0.391, and 0.344, respectively. The result of this study suggests that region-specific, systematic, and proactive approaches are desirable for balanced development in Odisha. Further, policy intervention is required to implement more inclusive tribal welfare policies.

Mountain ecosystem provides numerous vital ecosystem services (ESs) to the people residing within or near the mountains worldwide. The mountains provide services such as timber, fibre, fodder, fuelwood, medicine, aesthetic, recreation, ritual, and religion, and many other services that are vital for the maintenance of the ecosystem. The mountains of Barsoo and Tai-Suru regions in Kargil District are much familiar for their ESs supply, and the residents have utilized these services for years. The present study was focused on the provisioning ESs. We used a random sample approach for household selection and data collection regarding the pre-prepared questionnaire; the number of households was obtained from government census data. The primary ESs (identified by more than 40% of the respondents) were assessed through the direct market valuation method. The direct market valuation method produced an overwhelming value, specifically for grazing and fodder services in both regions of the study area. Results showed that grazing service was valued at 482,346.43 USD/a for Barsoo region and 1,458,099.04 USD/a for Tai-Suru region. Similarly, fodder service of Barsoo and Tai-Suru regions corresponded to values of 69,833.61 and 110,886.06 USD/a, respectively. On the other hand, food service of Barsoo and Tai-Suru regions was valued at 2601.04 and 2969.90 USD/a, respectively, and medicinal service was valued at 757.39 and 4430.94 USD/a in Barsoo and Tai-Suru regions, respectively. In addition, the regions were economically backwards, and the resident's survival and well-being relied on the mountain ESs. Therefore, it is not possible for the residents to pay services replacement costs if the services need to replace by other means. Unfortunately, such mountain ecosystem is highly prone to climate change and other human activities that would negatively impact the ecosystem functions. Therefore, this study would be helpful for the policy-makers of the region to draft any developmental plan/framework by integrating the value of ESs that would be the key to achieving sustainable development.

The willingness of returning migrant workers to purchase houses has an important impact on local urbanization. At present, there are few researches on the willingness of returning migrant workers to purchase houses. The existing researches mostly focus on the perspective of sociology and economics, and few studies are conducted from the perspective of geography. Based on the survey data of 45 villages in Henan Province of China in 2019, this study used binary logistic method to study the influencing factors of the willingness of returning migrant workers to purchase houses. The willingness of returning migrant workers to purchase houses is affected by many factors, such as personal, family, village, and returning factors. Among them, age and returning period are negatively correlated with the willingness of returning migrant workers to purchase houses. Factors such as years of education, years of working, and per capita income of village are positively correlated with the willingness of returning migrant workers to purchase houses. Returning migrant workers in plains and hilly areas are more willing to purchase houses than those in mountainous areas. The formation of the willingness to purchase houses is mainly related to economic foundation, age, marital status, and other factors. Returning migrant workers are becoming more willing to purchase houses, and the expected locations are mainly concentrated in the county seats. In the context of China's high density of rural population and rapid urbanization, more returning migrant workers are expected to purchase houses in cities and towns for the sake of employment, marriage, children's education, and access to public services. As a result, there is an extensive market of potential purchasers, which affects the development of the local urban real estate industry and is of great significance for returning migrant workers to truly integrate into the cities. However, some returning migrant workers still choose to purchase houses in villages, mainly affected by traditional concepts, living habits, and the better development of villages. Therefore, it is of great practical significance to explore the willingness of returning migrant workers to purchase houses, so as to master the flow laws and future behavior of returning migrant workers to purchase houses.

This study examines the transaction costs of collaborative watershed management in the Cuyahoga River Area of Concern (AOC)—one of the 43 geographic areas designated by the U.S. and Canada Great Lakes Water Quality Agreement (GLWQA), where significant impairment of beneficial uses has occurred as a result of human activities. The Cuyahoga River is located in Northeast Ohio, the U. S. and flows through the City of Cleveland before draining into Lake Erie—one of the five Great Lakes of North America. The watershed is degraded due to municipal and agricultural discharges, streambank erosion, and contamination from urban and industrial sources. This research explores how a diverse group of stakeholders convened under the Cuyahoga River AOC Advisory Committee to share information, coordinate activities, agree on activities that restore beneficial uses, and support strategic management actions. In this study, 23 semi-structured interviews with members of the advisory committee were conducted between January 28, 2020 and April 20, 2020, with follow-up emails and phone calls as needed to corroborate information. A review of research articles and government documents supported the interviews, including United States Environmental Protection Agency (U.S. EPA) and Ohio Environment Production Agency (OEPA) reports on the GLWQA and Cuyahoga River Remedial Action Plans. A third source of data is from direct participant observation at quarterly meetings of the advisory committee during 2017–2020, binational AOC conferences in 2017 and 2019, and other professional events geared towards restoring the Cuyahoga River AOC in 2016–2020. Results help to explain the collaborative process within the advisory committee and measure the institutional performance of the advisory committee in terms of efficiency, equitability, accountability, and adaptability. Results of this study include a set of recommendations to help guide group structure and decision-making processes, including (1) employing best available technology to organize AOC events and disseminate information; (2) supporting new members with an orientation and/or mentor to clearly define formal and informal committee rules; (3) assuring equal access to detailed information on management action plans with a real time dashboard; (4) updating voting procedures and the prioritization of management actions; and (5) better incorporating underrepresented local communities and high-level decision makers from municipalities, government agencies, and nongovernmental organizations located within the Cuyahoga River AOC.

Water chemistry changes when it flows through different pathways. This study aims to characterize the differences of water chemistry of five kinds of water in Obagbile Catchment including rainwater, overland flow, soil water, groundwater, and stream water, determine the changes in water chemistry that occur as the water moves from one pathway to another, and identify the factors responsible for the water chemistry changes. To do these, we collected 50 water samples from 10 heavy storms whose rainfall are equal to or more than 10 ​mm within an hour to test the changes of water properties across various pathways in this study. The results show that the overland flow had the highest pH and electrical conductivity (EC) and the rainwater had the lowest value of the two parameters. Ca²⁺, Mg²⁺, Clˉ, and HCOŌ were found to have their highest concentrations in stream water; meanwhile, NO₃⁻, NH₄⁺, and SO₄²⁻ were found to have almost same low concentrations in all the water samples. K⁺ was only dominant in stream water; while dissolved organic carbon (DOC) was lowest in rainwater, same in overland flow, soil water, and groundwater samples, and highest in stream flow. Principal Component Analysis (PCA) showed that for all the water samples from different pathways, two factors mainly accounted for the total variances. The two factors were related to the crustal and anthropogenic sources in rainwater suggesting that the high loadings of major cations (e.g., Ca²⁺ and Mg²⁺) in rainwater samples are soil-derived. The PCA for the overland flow and soil water showed strong correlations between pH, EC, and the concentrations of Na⁺, Mg²⁺, HCOO⁻, and CH₃COO⁻, while the high loadings of all the parameters and the strong correlations among each other were evident in the stream water. In conclusion, the chemical constituents found in water are also the constituents of pathways through which the water flows. The major factors responsible for the change in the physico-chemical properties of water in Obagbile Catchment are weathering and anthropogenic activities.