Shrinking Ecosystem Services in a Sinking Delta – Maintaining livelihoods in the Sundarbans Biosphere Reserve, India

2021 ◽  
Author(s):  
Oindrila Basu ◽  
Isha Das ◽  
Sudipa Pal ◽  
Tim Daw ◽  
Sugata Hazra
Keyword(s):  
Ecosystem Services ◽  
Fresh Water ◽  
Land Use Planning ◽  
Biosphere Reserve ◽  
Household Survey ◽  
Poor People ◽  
Shore Protection ◽  
Seed Collection ◽  
Poor Households ◽  
Per Capita

<p>A range of ecosystem services provide critical direct benefits to poor households living in the Sundarban Biosphere Reserve in India. These include artisanal fishing in creeks and rivers, crab collection, prawn seed collection, brackish and fresh-water aquaculture, fuel, fodder and honey collection from forests, and marine fishing in mechanized and non mechanized boats. The roles of these ecosystem services are largely invisible to official data. Triangulating between available statistics, key informant interviews and a new household survey, we estimate that nearly 30% of the 4.6 million population, mostly poor people rely on these ecosystem services. Ecosystem services supplement traditional rainfed agriculture, providing over 30% of household livelihood requirements. The availability of these ecosystem services is declining in per-capita terms due to the rapidly rising population in addition to ecosystem degradation. The area and health of mangrove is affected by sea level rise, differential subsidence, reduction of sediment and freshwater supply due to human obstruction and abstraction, increased salinity, high intensity cyclones, monsoon instability and temperature rise. Under a business as usual scenario, sharp decline of provisioning and regulating ecosystem services available per capita by 2030 is envisaged resulting in the threatening to increase poverty in the Biosphere Reserve. We review policy options to protect and enhance these critical ecosystem services for poor households including restoration of the estuarine mangrove habitat through river reconnection and rejuvenation and  fresh water provisioning and desalination, scientific plantation and shore protection using building with nature concept, regulating marine fishery and aquaculture practices , land use planning and population realignment.</p>

scholarly journals Analisis Clustering K-Medoids Berdasarkan Indikator Kemiskinan di Jawa Timur Tahun 2020

2021 ◽  
Vol 22 (1) ◽  
pp. 1
Author(s):  
Febiyanti Alfiah ◽  
Almadayani Almadayani ◽  
Danial Al Farizi ◽  
Edy Widodo
Keyword(s):  
Clustering Analysis ◽  
The Other ◽  
Poor People ◽  
Clustering Method ◽  
Capita Expenditure ◽  
Poor Households ◽  
Per Capita ◽  
Poverty Indicators ◽  
Partition Method ◽  
Cluster 2

 Keberadaan pandemi COVID-19 di Indonesia, mengakibatkan kemiskinan di Indonesia semakin tinggi terutama di Jawa Timur yang menjadi satu diantara provinsi lain dengan kasus COVID-19 tinggi di Indonesia. Tujuan penelitian ini yaitu mengetahui pengelompokan kabupaten/kota di Jawa Timur yang mempunyai kesamaan karakteristik berdasarkan indikator kemiskinan tahun 2020. Penelitian ini menggunakan data yang didapatkan dari Badan Pusat Statistik. Metode yang digunakan ialah metode k-medoids clustering yang merupakan metode partisi clustering guna pengelompokan n objek ke dalam k cluster. Berdasarkan hasil penelitian, diperoleh pengelompokan karakteristik masing-masing cluster yang dibentuk berdasarkan nilai indikator kemiskinan di Jawa Timur tahun 2020 sebanyak 2 cluster. Dimana 30 kabupaten/kota pada cluster 1 dan dan 8 kabupaten/kota pada cluster 2. Cluster 1 memiliki karakteristik Persentase Rumah Tangga yang Mempunyai Sanitasi Layak, Angka Harapan Hidup, dan Persentase Angka Melek Huruf Umur 15-55 Th tinggi. Sedangkan cluster 2 memiliki karakteristik Persentase Rumah Tangga Miskin Penerima Raskin, Persentase Penduduk Miskin, dan Persentase Pengeluaran Perkapita untuk Makanan dengan Status Miskin tinggi. Kata kunci: Clustering; Jawa Timur; K-medoids; kemiskinan  K-Medoids Clustering Analysis Based on Poverty Indicators in East Java in 2020 ABSTRACT The existence of the pandemic COVID-19 in Indonesia has resulted in higher poverty in Indonesia, especially in East Java, which is one of the other provinces with high cases in Indonesia. The purpose of this study is to find out the grouping of regencies/cities in East Java that have similar characteristics based on the poverty indicators in 2020. This study uses data obtained from the Badan Pusat Statistik. The method used is k-medoids clustering method which is a clustering partition method for grouping n objects into k clusters. Based on the results of the study, it was found that the grouping of the characteristics of each cluster formed based on the value of the poverty indicator in East Java in 2020 was 2 clusters. Where 30 regencies/cities in cluster 1 and and 8 regencies/cities in cluster 2. Cluster 1 has the characteristics of the percentage of households that have proper sanitation, life expectancy, and a high percentage of literacy rates aged 15-55 years. While cluster 2 has the characteristics of the percentage of poor households receiving Raskin, the percentage of poor people, and the percentage of per capita expenditure on food with high poor status. Keywords: Clustering; East Java; K-Medoids; poverty

Valuing mangrove resources in Kosrae, Micronesia

1998 ◽  
Vol 3 (4) ◽  
pp. 471-490 ◽  
Author(s):  
ROSAMOND NAYLOR ◽  
MARK DREW
Keyword(s):  
Ecosystem Services ◽  
Revealed Preference ◽  
Household Survey ◽  
Mangrove Ecosystems ◽  
Poor Households ◽  
Direct Benefits ◽  
Wide Range ◽  
Use Values ◽  
Contingent Valuation Methods ◽  
Direct Use

Mangrove ecosystems provide a wide range of market and non-market benefits to coastal communities in the developing world, yet they remain undervalued and overexploited in most regions where they are found. This paper analyzes the use and value of mangroves in Kosrae, Micronesia, where the population is largely dependent on the swamps for fuelwood and other ecosystem services, such as erosion control, storm protection, and nutrient flows to shoreline fisheries. The results show that mangroves on the island are worth between $666 thousand and $1 million per year (1996 prices) based on the net value of marketable products alone. In addition, household survey data suggest that the local people are willing to pay between $1 million and $1.26 million per year to protect and use mangrove swamps indefinitely. The results thus indicate that the population places some premium on the existence and indirect ecosystem services of mangroves, over and above the direct use values. Moreover, respondents generally favored—and were willing to pay more for—a tax system designed to manage and preserve the mangroves' direct and indirect services over a permit system focused only the allocation of direct use over time. Valuation analyses using revealed preference and contingent valuation methods lead to additional conclusions regarding the distribution of benefits, with poor households deriving more direct benefits from—but willing to pay less to protect—mangrove ecosystems.

Contribution of Farm Tree to Household Economy of a Community Forest User Group in Chitwan, Nepal

2014 ◽  
Vol 37 (1) ◽  
pp. 41-48
Author(s):  
Arjun Bastola ◽  
Ram Sharma ◽  
Narayan Gautam ◽  
Dinesh Kumar
Keyword(s):  
Group Discussion ◽  
Household Survey ◽  
Poor People ◽  
Household Economy ◽  
Community Forest ◽  
Fuel Wood ◽  
Wild Vegetables ◽  
Wild Fruits ◽  
Poor Households ◽  
Rich People

The study was carried out to assess the contribution of farm tree on the household economy of the users of Kankali Community Forest in Chitwan, Nepal. Household survey, focus group discussion and key informant survey were used to get primary information. Stratified random sampling was used to select sample households on the basis of wealth class. A total of 200 households were taken for interview. People’s dependence on fuel wood was found high. Rich people had more trees on their farm land as compared to medium and poor people. Farm trees were mostly used for fodder purpose and less for timber, fuel wood and fruits. Contribution of non-farm sources (salary, business, remittance, wage, etc.) to household economy was high (86.6%) followed by farm source (agriculture/livestock) (9.5%), forest (2.5%) and farm trees (1.3%). Percentage contribution of non-farm, agriculture/livestock and farm tree sources was more for rich households as compared to medium and poor households. Forest resource was a greater source of income for medium households than other two categories. Rich class households prefer to collect more timber, fuel wood and fodder from forest, medium households prefer to collect more grass, sand, mud and wild vegetables while poor people collect more poles, wild fruits and bamboo/rattan as compared to other classes of households. The perception of the people was found positive towards having farm tree and its importance to household economy though the percentage share of farm tree income for household economy was least.

scholarly journals GIS and land cover-based assessment of ecosystem services in the North Karelia Biosphere Reserve, Finland

2019 ◽  
Vol 197 (2) ◽  
pp. 249-267 ◽  
Author(s):  
Laura Poikolainen ◽  
Guilherme Pinto ◽  
Petteri Vihervaara ◽  
Benjamin Burkhard ◽  
Franzeska Wolff ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Land Use Planning ◽  
Urban Areas ◽  
Sustainable Use ◽  
High Capacity ◽  
Biosphere Reserve ◽  
Sustainable Land Use ◽  
Biosphere Reserves ◽  
The North ◽  
Promising Tool

Conservation and sustainable use of biodiversity, ecosystems and their services are key principles behind the establishment of “Biosphere Reserves”. Mapping of ecosystem services is one of the activities that is expected to increase the knowledge of sustainable land use planning. The Biosphere Reserves, established by the UNESCO Man and Biosphere Programme, aims to find the balance between nature conservation, use of natural resources, recreation and other culture-related activities. For this purpose, the ecosystem services approach is a promising tool for examining the relationships between people and nature in practice. This study applies the ecosystem services approach and examines which ecosystem services are perceived to be relevant in the North Karelia Biosphere Reserve in Eastern Finland. The results of a matrix method, with expert-based approach, showed that particularly old-growth forests and undrained open and forested mires have a broader potential to provide different ecosystem services. Water and urban areas are considered important for cultural services. However, these areas cover only a relatively small area altogether. The results of the ecosystem services assessment were compared to areas of high biodiversity, as defined by local biodiversity experts. The areas with high capacity for ecosystem services provision (from now on “high ecosystem services areas”) were found in areas with high biodiversity. In most cases, these areas are already under protection. The results also showed that ambiguity is an issue with the use of the ecosystem services concept in both stakeholder and expert evaluations.

USE AND PROTECTION OF WATER RESOURCES OF AZERBAIJAN

2017 ◽  
Author(s):  
Ramiz Tagirov ◽  
◽  
Maya Zeynalova ◽  
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Fresh Water ◽  
Water Consumption ◽  
Cultivated Land ◽  
Per Capita ◽  
The Republic ◽  
Active Temperature

The article examines the problem of fresh water, since in terms of water supply from its own resources per capita and per 1 km2, the republic is 8 times behind Georgia, 2 times behind Armenia. Significant water consumption in Azerbaijan is caused by its arid territory with a predominance of active temperature and a lack of precipitation, which leads to intensive irrigation of crops. At the same time, artificial irrigation is used on 70% of the cultivated land.

scholarly journals Beijing Resident’s Preferences of Ecosystem Services of Urban Forests

Forests ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 14
Author(s):  
Han Zhi-Ying ◽  
Youn Yeo-Chang
Keyword(s):  
Ecosystem Services ◽  
Air Quality ◽  
Fresh Water ◽  
Urban Forest ◽  
Urban Forestry ◽  
Urban Forests ◽  
Wildlife Habitat ◽  
Quality Regulation ◽  
Water Provision ◽  
Air Quality Regulation

This paper aims to investigate the Beijing resident’s preferences over various options of urban forest management strategies. The literature investigation and expert Delphi method were conducted to classify the ecosystem services of urban forests into six categories: (1) fresh water provision, (2) noise reduction, (3) moderation of extreme events, (4) air quality regulation, (5) species diversity and wildlife habitat, and (6) recreation and spiritual experience. To elicit the relative preferences to ecosystem service (hereafter referred to as ES) of Beijing residents, we employed the choice experiment method. The data were collected by interviews with questionnaires conducted in October 2017, and a total of 483 valid questionnaires were analyzed. The subjects of this experiment were residents older than 19 years old who have lived in Beijing for more than 1 year and have visited any one of the urban forests located in Beijing more than once during 2016. The results were as follows: Firstly, the air quality regulation ES was considered as the most important service for Beijing residents in terms of their choices of urban forest. In addition, Beijing residents regarded the fresh water provision ES as the second most important ES. Beijing residents were willing to pay up to 1.84% of the average monthly income of Chinese households annually to expand urban forest ecosystems in order to improve air quality. Secondly, apartment owners were willing to pay more municipality tax for forest ESs than residents who did not own an apartment. Thirdly, residents were more willing to pay for urban forest ESs as their income increases. The results indicated that Beijing residents were willing to pay more tax in support of urban forestry for air quality improvement. This research suggests that urban environmental policy makers in Beijing should pay more attention to the regulation function of forests (especially improving air quality) when designing and managing urban forests.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KESEJAHTERAAN MASYARAKAT KOTA PADANG

2020 ◽  
Vol 11 (1) ◽  
pp. 67
Author(s):  
Rizki Afri Mulia ◽  
Nika Saputra
Keyword(s):  
Unemployment Rate ◽  
Research Method ◽  
Quantitative Research ◽  
Regression Coefficient ◽  
Sampling Technique ◽  
Domestic Product ◽  
Poor People ◽  
The People ◽  
Per Capita ◽  
The City

This study aims to analyze the factors that affect the welfare of the people of the City of Padang measured using the Human Development Index consisting of: 1) To determine the effect of the Per Capita Gross Regional Domestic Product on the welfare of the people in the City of Padang. 2) To determine the effect of number of Poor in community welfare in Padang. 3) To determine the effect of Unemployment Rate on the welfare of people in the city of Padang. The research method used in this research is descriptive quantitative research method. The sampling technique in this study is total sampling. Data collection was performed using documentation and hypothesis testing techniques in this study using multiple linear regression test. Based on the results of the study note that: 1) The regression coefficient value of GDP per capita is equal to 0.0000002 with a probability of 0.001 which is smaller than 0.05. 2) The regression coefficient value of the number of poor population is 0.156 with a probability of 0.526 which is smaller than 0.05. 3) The regression coefficient value of the Open Unemployment Rate is -0,00014 with a probability of 0.117 less than 0.05. The conclusions that can be drawn are as follows: 1) Gross Regional Domestic Product (GRDP) has a positive and significant effect on the welfare of the people in Padang City. 2) The number of poor people has no significant effect on the welfare of the people in the city of Padang. 3) Open Unemployment Rate has no negative and significant effect on the welfare of the people in Padang City.

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