scholarly journals Sustainability of the Sawah Surjan Agricultural Systems in Depok Village, Panjatan Subdistrict, Kulonprogo Regency, Yogyakarta Special Province

2018 ◽  
Vol 32 (2) ◽  
pp. 109-118
Author(s):  
R Rijanta
Keyword(s):  
Cultural Heritage ◽  
Large Scale ◽  
Coastal Region ◽  
Household Survey ◽  
Farming System ◽  
Infrastructure Development ◽  
Land Resources ◽  
Household Economy ◽  
Local Residents ◽  
Research Show

The south coastal region of Yogyakarta Province (YSP) in Indonesia has inherited a unique farming system called sawah surjan, which is considered as a cultural heritage that demonstrates a form of local wisdom in managing land resources with poor drainage. The local residents have succeeded in realizing their desire of making the farming system ecologically stable and capable of providing a decent living. As a cultural heritage, however, sawah surjan has been under an increasing threat of conversion resulting from the infrastructure development and spreading of urban developments. This study assessed the prospect of sawah surjan in the rural household economy and its sustainability within the context of changing wider environment. To do so, a household survey was conducted covering 41 farmer households in Depok Village, Panjatan Sub-district, Kulonprogo Regency, Yogyakarta Special Province where the existence of sawah surjan is threatened by the large-scale investments. The research show that sawah surjan contributes to employment generation, diverse sources of income, food security, and income redistribution. It is generally sustainable but the excessive use of pesticides and chemical fertilizers will have adverse effects on its sustainability. The research confirms that the most significant threat is the infrastructural development, especially the prospective construction of a new international airport as increased land prices may lead to uncontrolled conversion of sawah surjan into non-agricultural uses. This is also in coincidence with the stagnant regeneration of farmers in the area that lead to a bleak future of the system.

Exploring Attendance at a Traditional Cultural Event: The Case of a Holy Week Celebration

2020 ◽  
Vol 24 (1) ◽  
pp. 153-168
Author(s):  
Víctor Lafuente ◽  
José Ángel Sanz ◽  
María Devesa
Keyword(s):  
Cultural Capital ◽  
Cultural Heritage ◽  
Count Data ◽  
Data Model ◽  
Social Aspects ◽  
Social Nature ◽  
The World ◽  
Local Residents ◽  
The City ◽  
Complex Expression

Holy Week is one of the most important traditions in many parts of the world and a complex expression of cultural heritage. The main goal of this article is to explore which factors determine participation in Holy Week celebrations in the city of Palencia (Spain), measured through the number of processions attended. For this purpose, an econometric count data model is used. Variables included in the model not only reflect participants' sociodemographic features but other factors reflecting cultural capital, accumulated experience, and social aspects of the event. A distinction is drawn between three types of participants: brotherhood members, local residents, and visitors, among whom a survey was conducted to collect the information required. A total of 248 surveys were carried out among brotherhood members, 209 among local residents, and 259 among visitors. The results confirm the religious and social nature of this event, especially in the case of local participants. However, in the case of visitors, participation also depends on aspects reflecting the celebration's cultural and tourist dimension—such as visiting other religious and cultural attractions—suggesting the existence of specific tourism linked to the event. All of this suggests the need to manage the event, ensuring a balance is struck between the various stakeholders' interests and developing a tourist strategy that prioritizes public-private cooperation.

Sustainable Production of Honeydew and Muskmelon in Western Mexico

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 495d-495
Author(s):  
J. Farias-Larios ◽  
A. Michel-Rosales
Keyword(s):  
Large Scale ◽  
Management Practices ◽  
Glomus Intraradices ◽  
Cultural Practices ◽  
Bare Soil ◽  
Western Mexico ◽  
First Results ◽  
Legume Cover Crop ◽  
Banana Leaves ◽  
Research Show

In Western Mexico, melon production depends on high-input systems to maximize yield and product quality. Tillage, plasticulture, fumigation with methyl bromide, and fertigation, are the principal management practices in these systems. However, at present several problems has been found: pests as sweetpotato whitefly (Bemisia tabaci Gennadius), aphids (Myzus and Aphis), leafminer (Liryomiza sativae); diseases as Fusarium, Verticilium, and Pseudoperenospora, and weeds demand high pesticide utilization and labor. There is a growing demand for alternative cultural practices, with an emphasis on reducing off-farm input labor and chemicals. Our research is based on use of organic mulches, such as: rice straw, mature maize leaves, banana leaves, sugarcane bagasse, coconut leaves, and living mulches with annual legume cover crop in melons with crop rotation, such as: Canavalia, Stilozobium, Crotalaria, and Clitoria species. Also, inoculations with mycorrhizal arbuscular fungi for honeydew and cantaloupe melon seedlings production are been assayed in greenhouse conditions for a transplant system. The use of life barriers with sorghum, marigold, and other aromatic native plants in conjunction with a colored yellow systems traps for monitoring pests is being studied as well. While that the pest control is based in commercial formulations of Beauveria bassiana for biological control. The first results of this research show that the Glomus intraradices, G. fasciculatum, G. etunicatum, and G. mosseae reached 38.5%, 33.5%, 27.0%, and 31.0% of root infection levels, respectively. Honeydew melons production with rice and corn straw mulches shows an beneficial effect with 113.30 and 111.20 kg/plot of 10 m2 compared with bare soil with 100.20 kg. The proposed system likely also lowers production cost and is applicable to small- and large-scale melon production.

Legislative tools in the Czech watershed management policy

1996 ◽  
Vol 33 (4-5) ◽  
pp. 39-44
Author(s):  
J. Holas ◽  
M. Konvicková
Keyword(s):  
Watershed Management ◽  
Large Scale ◽  
Agricultural Practices ◽  
Farming System ◽  
Management Policy ◽  
Running Water ◽  
The Czech Republic ◽  
Law System ◽  
Water Quality Regulations

Potential environmental impacts as a result of large-scale farming system in the Czech Republic have created a great deal of concern in recent years. This concern has led to several studies to identify the role of new regulations, directives and other legislative issues in the field of water pollution control. The set of legislative tools related to watershed management policy to promote better agricultural practices is shortly reviewed. The paper emphasises the running water law system amendment with respect to European community water quality regulations.

Implication of Tourism Traits on Jharkhand Tourism with special reference to perception of local residents

2019 ◽  
Vol 11 (2) ◽  
Author(s):  
Pranjal Kumar ◽  
Ashutosh Mishra
Keyword(s):  
Economic Factor ◽  
Tourism Industry ◽  
Primary Data ◽  
Infrastructure Development ◽  
Development Cost ◽  
Tribal Culture ◽  
Natural Beauty ◽  
Domestic Tourism ◽  
Local Residents ◽  
The Impact

Jharkhand is popular for tribal culture and uniqueness of its inherent natural beauty attributing significantly on Tourism Industry of Jharkhand. There has been visible change and impact on socio-economic factor because of tourist influx in the Jharkhand state. The inherent beauty and nature has made the state popular for tourism. The attraction towards various important tourist spots revolves mostly within the domestic tourism. The paper attempts to ascertain the impact of tourism traits, like economic Development, Cost of living, Infrastructure Development, Socio-Cultural and the Environment affect through primary data collected from the responses of residents of six dominant tourist circuits of Jharkhand. The respondent’s views were ascertained on five point Likert Scale. The data so collected was subjected to analysis for identifying the impact of various tourism traits on the prospects of Jharkhand Tourism.

scholarly journals Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh

Climate ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 97
Author(s):  
Abdullah Al-Maruf ◽  
J. Craig Jenkins ◽  
Amelie Bernzen ◽  
Boris Braun
Keyword(s):  
Methodological Approach ◽  
Coastal Region ◽  
Household Survey ◽  
Storm Surges ◽  
Household Level ◽  
Coastal Bangladesh ◽  
Indicator Approach ◽  
Island Communities ◽  
Assessment And Monitoring ◽  
Social Safety Nets

The main objective of this paper is to measure the level of household resilience to cyclone and storm surges in the coastal area of Bangladesh. We draw on four general disaster frameworks in terms of addressing household-level resilience to cyclones and storm surges. We use a composite indicator approach organized around four components: (1) household infrastructure (HI); (2) household economic capacity (HEC); (3) household self-organization and learning (HSoL), and; (4) social safety nets (SSN). Drawing on a household survey (N = 1188) in nine coastal union parishads in coastal Bangladesh purposively selected as among the most vulnerable places in the world, we use principal components analysis applied to a standardized form of the survey data that identifies key household resilience features. These household index scores can be used for the assessment and monitoring of household capacities, training, and other efforts to improve household cyclone resilience. Our innovative methodological approach allows us to (a) identify patterns and reveal the underlying factors that accurately describe the variation in the data; (b) reduce a large number of variables to a much smaller number of core dimensions of household resilience, and (c) to detect spatial variations in resilience among communities. Aggregated to the community level, our new index reveals significant differences in community cyclone resilience in different areas of the coastal region. In this way, we can show that shoreline and island communities, in particular, have significant deficits in terms of household resilience, which seem to be mutually reinforcing one another and making for lower resilience.

scholarly journals Resident-Tourist Value Co-Creation in the Intangible Cultural Heritage Tourism Context: The Role of Residents’ Perception of Tourism Development and Emotional Solidarity

2021 ◽  
Vol 13 (3) ◽  
pp. 1369
Author(s):  
Tianning Lan ◽  
Zhiyue Zheng ◽  
Di Tian ◽  
Rui Zhang ◽  
Rob Law ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Positive Impact ◽  
Heritage Tourism ◽  
Tourism Development ◽  
Intangible Cultural Heritage ◽  
Mediating Role ◽  
Local Residents ◽  
Emotional Solidarity ◽  
Cultural Heritage Tourism

The value co-creation behavior of residents can contribute to the sustainable development of intangible cultural heritage (ICH) tourism. This paper aims to provide a theoretical framework that uses “cognition–affection–behavior” theory to explain how the two variables of tourism development perception and emotional solidarity affect the value co-creation participation behavior of the local residents in the context of intangible cultural heritage tourism while considering the mediating role of emotional solidarity. This study empirically investigates Meizhou Island in Fujian Province, China as an example by using a structural equation model (SEM). Results show that the perception of local residents toward the benefits of tourism development has a significant positive impact on their emotional solidarity and value co-creation participation behavior, whereas their perception toward the costs of tourism development has a significant negative impact. In addition, the emotional solidarity of these residents has a significant positive impact on their value co-creation participation and plays a mediating role in the relationship between the tourism development perceptions of local residents and their value co-creation participation behavior. This study has important theoretical and practical significance for the management of ICH tourist destinations.

scholarly journals Study on Relative Carrying Capacity of Land Resources and Its Zoning in 31 Provinces of China

2021 ◽  
Vol 13 (3) ◽  
pp. 1459
Author(s):  
Wei Zhou ◽  
Ayman Elshkaki ◽  
Shuai Zhong ◽  
Lei Shen
Keyword(s):  
Sustainable Development ◽  
Carrying Capacity ◽  
Coastal Region ◽  
Land Resources ◽  
Parameter Setting ◽  
Single Factor ◽  
Important Indicator ◽  
The Sustainable Development ◽  
Land Carrying Capacity ◽  
Human And Nature

Land carrying capacity is an important indicator to quantitatively assess and judge the extents of sustainable economic developing and coexistent harmonizing between human and nature. The significance of land carrying capacity has been highlighted recently by the Sustainable Development Goals (SDGs) of the United Nations, which set clear requirements for arable, construction, and ecological lands. Theories and models of land carrying capacity, however, are suffering from the interference of artificial parameter setting and poor applicability. This paper attempts to overcome these limitations and propose a single factor assessment of the carrying capacity of cultivated land, construction land, and ecological land in terms of the relative carrying capacity from the perspective of a single factor assessment. Through mutual comparison, we found that the deviation caused by simulated parameter setting has been eliminated, and the relative status of each province and/or region in China has been obtained, which could provide a reference for the management and utilization of land resources. We argue that China can achieve basic self-sufficiency in both space capacity and food production without placing pressure on the global sustainable development. The results also indicate that carrying capacity state of the advanced development areas such as the eastern coastal region is relatively poor, while the carrying capacity state of the western region is relatively good.

scholarly journals Land Use Transitions and Farm Performance in China: A Perspective of Land Fragmentation

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 792
Author(s):  
Shukun Wang ◽  
Dengwang Li ◽  
Tingting Li ◽  
Changquan Liu
Keyword(s):  
Large Scale ◽  
Household Survey ◽  
Scale Production ◽  
Land Fragmentation ◽  
Land Transfer ◽  
Large Scale Production ◽  
Speed Up ◽  
Farm Performance ◽  
Effect On Yield ◽  
The Relationship

Land fragmentation (LF) is widespread worldwide and affects farmers’ decision-making and, thus, farm performance. We used detailed household survey data at the crop level from ten provinces in China to construct four LF indicators and six farm performance indicators. We ran a set of regression models using OLS methods to analyse the relationship between LF and farm performance. The results showed that (1) LF increased the input of production material and labour costs; (2) LF reduced farmers’ purchasing of mechanical services and the efficiency of ploughing; and (3) LF may increase technical efficiency (this result, however, was not sufficiently robust and had no effect on yield). Generally speaking, LF was negatively related to farm performance. To improve farm performance, it is recommended that decision-makers speed up land transfer and land consolidation, stabilise land property rights, establish land-transfer intermediary organisations and promote large-scale production.

Het Hoge Kempen ruraal-industrieel transitielandschap

2019 ◽  
Vol 4 (3) ◽  
pp. 194-207
Author(s):  
PIET GELEYNS
Keyword(s):  
Large Scale ◽  
Western Europe ◽  
Farming System ◽  
Small Scale ◽  
Coal Miners ◽  
Garden Cities ◽  
World Heritage List ◽  
The World ◽  
Outstanding Universal Value ◽  
Extensive Farming

The Hoge Kempen rural industrial transition landscape: a layered landscape of Outstanding Universal Value? Up until the beginning of the 20th century, the eastern part of the Belgian province of Limburg was a sparsely populated and not very productive part of the country. The dominating heathland was maintained with sheep, which were an essential part of a small-scale extensive farming system. This all changed when coal was discovered in 1901. Seven large coalmines were established in a few decades, each one employing thousands of coal-miners. This also meant that entire new garden cities were built, to house the coal-miners and their families. The confrontation between the small-scale traditional land-use and the new large-scale industrial developments defines the landscape up to today. The scale and the force of the turnover are considered unprecedented for Western Europe, which is why it is being presented by Belgium for inclusion in the World Heritage List.

scholarly journals Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3232 ◽  
Author(s):  
Yan Liu ◽  
Qirui Ren ◽  
Jiahui Geng ◽  
Meng Ding ◽  
Jiangyun Li
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Large Scale ◽  
Semantic Segmentation ◽  
Remote Sensing Image ◽  
Training Data ◽  
Land Resources ◽  
Remote Sensing Images ◽  
Training Strategy ◽  
The Impact

Efficient and accurate semantic segmentation is the key technique for automatic remote sensing image analysis. While there have been many segmentation methods based on traditional hand-craft feature extractors, it is still challenging to process high-resolution and large-scale remote sensing images. In this work, a novel patch-wise semantic segmentation method with a new training strategy based on fully convolutional networks is presented to segment common land resources. First, to handle the high-resolution image, the images are split as local patches and then a patch-wise network is built. Second, training data is preprocessed in several ways to meet the specific characteristics of remote sensing images, i.e., color imbalance, object rotation variations and lens distortion. Third, a multi-scale training strategy is developed to solve the severe scale variation problem. In addition, the impact of conditional random field (CRF) is studied to improve the precision. The proposed method was evaluated on a dataset collected from a capital city in West China with the Gaofen-2 satellite. The dataset contains ten common land resources (Grassland, Road, etc.). The experimental results show that the proposed algorithm achieves 54.96% in terms of mean intersection over union (MIoU) and outperforms other state-of-the-art methods in remote sensing image segmentation.

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