Identification of ecosystem service bundles and driving factors in Beijing and its surrounding areas

2020 ◽  
Vol 711 ◽  
pp. 134687 ◽  
Author(s):  
Tianqian Chen ◽  
Zhe Feng ◽  
Huafu Zhao ◽  
Kening Wu
Keyword(s):  
Ecosystem Service ◽  
Driving Factors ◽  
Surrounding Areas

scholarly journals POLICY OF REGIONAL GOVERNMENT OF MAGELANG REGENCY ON FOREIGN INVESTMENT OF TOURISM

2019 ◽  
Vol 14 (1) ◽  
pp. 45-56
Author(s):  
Febri Rizki Kurniawan ◽  
Dyah Adriantini Sintha Dewi ◽  
Bambang Tjatur Iswanto
Keyword(s):  
Foreign Investment ◽  
Government Policy ◽  
Secondary Data ◽  
Driving Factors ◽  
Primary Data ◽  
Regional Government ◽  
Online Data ◽  
Foreign Investors ◽  
Tourism Sector ◽  
Surrounding Areas

Tourism is one of the sources of Original Regional Revenue that is quite promising, when it is managed professionally. With regard to funds, the presence of foreign investment is a very possible solution. From the collected data, in the Regency of Magelang, the presence of foreign investors in tourism is still very little, while such potential is wide open for development. For this reason, this research is entitled "The Policy of the Regional Government of Magelang Regency towards Foreign Investment in Tourism". This study aims to find out how the Regional Government Policy of Magelang Regency in regulating foreign investment in the tourism sector as well as knowing its implementation and also the driving factors and obstacles in the implementation of foreign investment cooperation in tourism.This study is a normative juridical study that uses primary data, secondary data and tertiary data. Data collection is done using library research techniques, observation, interviews and online data search.Based on the results of this study indicate that the Regional Government Policy of Magelang Regency to increase foreign investment, especially in the tourism sector, is still very lacking because there are few foreign investors who invest in Magelang Regency. Based on the driving factors and constraints that exist, the prospect of foreign investment manifested by Magelang Regency Tourism towards the labor sector is very promising because it can open opportunities for employment opportunities for the people of Magelang Regency, and improve the economy in Magelang Regency. However, there are limitations to the Policy of the Regional Government of Magelang District in certain areas regulated by Presidential Regulation Number 58 Year 2014 concerning the Spatial Planning for Borobudur and Surrounding Areas and also the issuance of Regents Regulations governing Foreign InvestmentKeywords: Policy, Foreign Investment, Tourism

scholarly journals Modeling mangrove ‘blue carbon’ ecosystem service in Jakarta bayas an impact of coastal development

2018 ◽  
Vol 73 ◽  
pp. 04023 ◽  
Author(s):  
Nasir Sudirman ◽  
Muhammad Helmi ◽  
Novi Susetyo Adi
Keyword(s):  
Ecosystem Services ◽  
Support Services ◽  
Ecosystem Service ◽  
Life Support ◽  
Coastal Ecosystems ◽  
Blue Carbon ◽  
Coastal Development ◽  
Carbon Cycles ◽  
Integrated Valuation ◽  
Surrounding Areas

Coastal ecosystems provide various ecosystem services in the form of natural resources, life support services, aesthetical values and comfort.The key ecosystems providing those services include estuaries, mangroves, coral reefs and seagrass beds.Some ecosystem services provided by the key coastal ecosystems function as producers, life supporters, wave absorbers, litter provider for detritus and decomposers, and carbon cycles regulator in the ecosystem. Though their roles are vital for Jakarta bay and its surrounding areas, ecosystem service aspect in Jakarta Bay is understudied. The previous limited studies focused mostly on economics valuation aspect and descriptive studies, ignoring the modeling and mapping aspects of the ecosystem services. InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) is a tool to map and model ecosystem services in an explicitly spatial representation.InVEST can be used to map and model changes in ecosystem servicess that will be affected by multi-scalechanges in the Jakarta Bay, particularlyland reclamation and what's so called as the Giant Sea Wall.The output generated through the spatial and temporal mapmodeling in inVESTcan account for ecosystem services in past, presentand future scenarios. In the context of various coastal development in Jakarta bay, the results of InVEST can be then be used asvaluableinput tocoastal management of Jakarta Bay, e.g. for mangrove management as a blue carbon ecosystem service provider.

scholarly journals Assessing and Predicting the Impact of Multi-Scenario Land Use Changes on the Ecosystem Service Value: A Case Study in the Upstream of Xiong’an New Area, China

2021 ◽  
Vol 13 (2) ◽  
pp. 704
Author(s):  
Zhiyin Wang ◽  
Jiansheng Cao
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Ecosystem Service ◽  
Land Use Changes ◽  
Coupling Model ◽  
Ecosystem Service Value ◽  
Construction Land ◽  
Service Value ◽  
Surrounding Areas ◽  
The Impact

The evaluation of ecosystem service value has become the basis of ecological protection, ecological regionalization, and ecological compensations. Land use changes have taken place due to several natural and anthropogenic reasons, significantly influencing the ecosystem services value (ESV). In this study, we used an interactive coupling model that simulates future land use changes and the equivalent coefficient table method to predict and evaluate the ecosystem service value in the upstream of Xiong’an New Area in 2035, and we quantitatively calculated the impact of land use changes on the ecosystem service value under four future scenarios. The results indicate that from 2015 to 2035, the ecosystem service value in the production scenario and life scenario decreased significantly by CNY 1635.39 million and 561.95 million, respectively, and the areas where the ESV decreased mainly appeared in river banks and surrounding areas of towns. The conversion of forest land to cultivated land and the conversion of grassland to construction land are the main reasons for the reduction of the ecosystem service value in the production scenario and life scenario, respectively. The ecosystem service value in the ecological scenario increased significantly by CNY 2550.59 million, and the conversion of grassland to waters is the main reason for the increase in ecosystem service value, with a contribution rate of 73.89%. Moreover, due to the trade-off between ecosystem services, the overall change of ecosystem service value in the current scenario is not obvious. In conclusion, strictly controlling the scale of construction land, strengthening the management and protection of water resources, and expanding the afforestation scale may improve the ecosystem service value of the upstream Xiong’an New Area in the future.

Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Statistical Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Five Factors ◽  
Heavy Metal Elements ◽  
Surrounding Areas ◽  
Potential Pollution

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.

SPECIES, HOST RANGE, AND IDENTIFICATION KEY OF WHITEFLIES OF BOGOR AND SURROUNDING AREA

2019 ◽  
Vol 18 (2) ◽  
pp. 127
Author(s):  
Purnama Hidayat ◽  
Denny Bintoro ◽  
Lia Nurulalia ◽  
Muhammad Basri
Keyword(s):  
Host Range ◽  
Host Plants ◽  
Ornamental Plants ◽  
Identification Key ◽  
Agricultural Crops ◽  
Surrounding Area ◽  
Aleurodicus Dispersus ◽  
Agricultural Plants ◽  
Surrounding Areas ◽  
Forest Plants

Species identification, host range, and identification key of whiteflies of Bogor and surrounding area. Whitefly (Hemiptera: Aleyrodidae) is a group of insects that are small, white, soft-bodied, and easily found on various agricultural crops. Whitefly is a phytophagous insect; some species are important pests in agricultural crops that can cause direct damage and can become vectors of viral diseases. The last few years the damage caused by whitefly in Indonesia has increased. Unfortunately, information about their species and host plants in Indonesia, including in Bogor, is still limited. Kalshoven, in his book entitled Pest of Crops in Indonesia, published in the 1980s reported that there were 9 species of whitefly in Indonesia. The information on the book should be reconfirmed. Therefore, this study was conducted to determine whitefly species and its host plants in Bogor and its surroundings. Whiteflies is identified based on the ‘puparia’ (the last instar of the nymph) collected from various agricultural plants, ornamental plants, weeds, and forest plants. A total of 35 species of whiteflies were collected from 74 species and 29 families of plants. The collwcted whiteflies consist of four species belong to Subfamily Aleurodicinae and 31 species of Subfamily Aleyrodinae. The most often found whitefly species were Aleurodicus dispersus, A. dugesii, and Bemisia tabaci. A dichotomous identification key of whiteflies was completed based on morphological character of 35 collected species. The number of whitefly species in Bogor and surrounding areas were far exceeded the number of species reported previously by Kalshoven from all regions in Indonesia.

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