scholarly journals Discussion on the Impact Factor of Agricultural Land in Taiwan–Case Study of Yunlin, Chiayi, and Tainan

2013 ◽  
Vol 17 ◽  
pp. 28-36 ◽  
Author(s):  
Xin-Rou Chen ◽  
Hsueh-Sheng Chang
Keyword(s):  
Impact Factor ◽  
Agricultural Land ◽  
The Impact

scholarly journals Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt

2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Agricultural Land ◽  
Optimal Allocation ◽  
Water Footprint ◽  
Agricultural Water ◽  
Land Area ◽  
Lexicographic Optimization ◽  
The Impact

This paper develops a lexicographic optimization model to allocate agricultural and non-agricultural water footprints by using the land area as the influencing factor. An index known as the water-footprint-land density (WFLD) index is then put forward to assess the impact and equity of the resulting allocation scheme. Subsequently, the proposed model is applied to a case study allocating water resources for the 11 provinces and municipalities in the Yangtze River Economic Belt (YREB). The objective is to achieve equitable spatial allocation of water resources from a water footprint perspective. Based on the statistical data in 2013, this approach starts with a proper accounting for water footprints in the 11 YREB provinces. We then determined an optimal allocation of water footprints by using the proposed lexicographic optimization approach from a land area angle. Lastly, we analyzed how different types of land uses contribute to allocation equity and we discuss policy changes to implement the optimal allocation schemes in the YREB. Analytical results show that: (1) the optimized agricultural and non-agricultural water footprints decrease from the current levels for each province across the YREB, but this decrease shows a heterogeneous pattern; (2) the WFLD of 11 YREB provinces all decline after optimization with the largest decline in Shanghai and the smallest decline in Sichuan; and (3) the impact of agricultural land on the allocation of agricultural water footprints is mainly reflected in the land use structure of three land types including arable land, forest land, and grassland. The different land use structures in the upstream, midstream, and downstream regions lead to the spatial heterogeneity of the optimized agricultural water footprints in the three YREB segments; (4) In addition to the non-agricultural land area, different regional industrial structures are the main reason for the spatial heterogeneity of the optimized non-agricultural water footprints. Our water-footprint-based optimal water resources allocation scheme helps alleviate the water resources shortage pressure and achieve coordinated and balanced development in the YREB.

scholarly journals Germany’s Agricultural Land Footprint and the Impact of Import Pattern Allocation

2021 ◽  
Author(s):  
Klaus Josef Hennenberg ◽  
Swantje Gebhardt ◽  
Florian Wimmer ◽  
Martin Distelkamp ◽  
Christian Lutz ◽  
...  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Methodological Approach ◽  
Hybrid Approach ◽  
Ecosystem Functions ◽  
Land Conversion ◽  
Environmental Goods ◽  
Global Average ◽  
The Impact

Footprints are powerful indicators for evaluating the impact of the bioeconomy of a country on environmental goods, domestically and abroad. In this study, we apply a hybrid approach combining a Multi-Regional Input-Output model and land use modelling to compute the agricultural land footprint (aLF). Furthermore, we added information on land-use change to the analysis and allocated land conversion to specific commodities. The German case study shows that the aLF abroad is larger by a factor of 2.5 to 3 than the aLF in Germany. In 2005 and 2010, conversion of natural and semi-natural land-cover types abroad allocated to Germany due to import increases was 2.5 times higher than the global average. Import increases to Germany slowed down in 2015 and 2020, reducing land conversion attributed to the German bioeconomy to the global average. The case study shows that the applied land footprint provides clear and meaningful information for policymakers and other stakeholders. The presented methodological approach can be applied to other countries and regions covered in the underlying database EXIOBASE. It can be adapted, also for an assessment of other ecosystem functions, such as water or soil fertility.

scholarly journals Analysis of the Impact of Land Use on Spatiotemporal Patterns of Surface Urban Heat Island in Rapid Urbanization, a Case Study of Shanghai, China

2020 ◽  
Vol 12 (3) ◽  
pp. 1171 ◽  
Author(s):  
Hongyu Du ◽  
Fengqi Zhou ◽  
Chunlan Li ◽  
Wenbo Cai ◽  
Hong Jiang ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Heat Island ◽  
Land Surface ◽  
Agricultural Land ◽  
Heat Island ◽  
Rapid Urbanization ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
The Impact

In the trend of global warming and urbanization, frequent extreme weather influences the life of citizens seriously. Shanghai, as a typical mega-city in China that has been successful in urbanization, suffers seriously from the urban heat island (UHI) effect. The research concentrates on the spatial and temporal pattern of surface UHI and land use. Then, the relation between them are further discussed. The results show that for the last 15 years, the UHI effect of Shanghai has been increasing continuously in both intensity and area. The UHI extends from the city center toward the suburban area. Along with the year, the ratio in area of Agricultural Land (AL), Wetland (WL), and Bare Land (BL) has decreased. On the contrary, Construction Land (CL) and Green Land (GL) have increased. The average land surface temperature (LST) rankings for each research year from high to low were all CL, BL, GL, AL, and WL. CL contributed the most to the UHI effect, while WL and GL contributed the most to mitigate the UHI. The conclusion provides practical advice aimed to mitigate the UHI effect for urban planning authorities.

scholarly journals Defining Deforestation Patterns Using Satellite Images from 2000 and 2017: Assessment of Forest Management in Miombo Forests—A Case Study of Huambo Province in Angola

2018 ◽  
Vol 11 (1) ◽  
pp. 98 ◽  
Author(s):  
Vasco Chiteculo ◽  
Azadeh Abdollahnejad ◽  
Dimitrios Panagiotidis ◽  
Peter Surový ◽  
Ram Sharma
Keyword(s):  
Forest Management ◽  
Urban Areas ◽  
Agricultural Land ◽  
Bare Soil ◽  
Vegetation Types ◽  
Forest Protection ◽  
Management Zones ◽  
Management Zone ◽  
The Impact

A few studies have recently been published on changes in land use/land cover (LU/LC) of Angolan Miombo forests, however, none have attempted to offer forest management solutions for degraded Miombo forests. Landscapes are witness to past and present natural and social processes influencing the environment, where each period in the past leaves footprints on the landscape’s development, which can be described by a continual decrease in forest area over time. The expansion of degraded areas from 2000 to 20017 began near urban areas where many Miombo forests have been eliminated or highly degraded, particularly in the southwest and northeast of the Huambo province. Large areas of degraded forests were observed along the Benguela railway (Caminho de ferro de Benguela). Our detailed analysis of the landcover map suggests that the impact has been devastating and there is no form of forest protection, which leads to unregulated exploitation. Descriptions of the Miombo forest dynamics are explained using height–diameter curves developed for different vegetation types that provide important insights about forest structures in the management zones. The height–diameter models differed for all vegetation types, and four management zones (MZ) were created based on a set of particular attributes. The vegetation types differed in each management zone, which included agricultural land and bare soil (MZ–E), grassland or savanna (MZ–C), open Miombo forests (MZ–B), and closed Miombo forests (Miombo forests). The four management zones were easily identified on the available maps and the height–diameter models developed represent a fundamental tool for future studies on forest planning.

Study on the Credit Classification of Practicing Qualification Personnel in Construction Market Based on PNN

2010 ◽  
Vol 44-47 ◽  
pp. 13-17
Author(s):  
Hui Sun ◽  
Zhi Qing Fan ◽  
Ying Zhou
Keyword(s):  
Neural Network ◽  
Impact Factor ◽  
Probabilistic Neural Network ◽  
Research Result ◽  
Scientific Advice ◽  
Construction Enterprise ◽  
Construction Market ◽  
The Impact

Combining with the characters of the practicing qualification personnel in construction market, probabilistic neural network is brought out trying to analyze the credit classification of the practicing qualification personnel. And the impact factor of the number of neurons on the credit classification of the practicing qualification personnel is studied. Then a probabilistic neural network is built. At last, a case study is conducted by taking practicing qualification personnel as an example. The research result reveals that the method can efficiently evaluate the credit of the practicing qualification personnel, thus it could provide scientific advice to the construction enterprise to prevent relevant discreditable behaviors of some practicing qualification personnel.

scholarly journals Impact of coastal inundation on ecology and agricultural land use case study in central Java, Indonesia

2011 ◽  
Vol 30 (3) ◽  
pp. 19-32 ◽  
Author(s):  
Muh Marfai
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Regional Scale ◽  
Agricultural Land Use ◽  
Use Case ◽  
Coastal Inundation ◽  
Central Java ◽  
Dry Farming ◽  
The Impact

Impact of coastal inundation on ecology and agricultural land use case study in central Java, Indonesia Focusing on the regional scale, this study provides information concerning the existing ecological problems associated with coastal inundation in the northern part of coastal area in Central Java Province, Indonesia. The objectives of this paper are to map the coastal inundation, to investigate the impact of coastal inundation on coastal environment and ecology, and to assess the impact of inundation on agricultural land use. An integration of techniques, namely neighborhood analysis, iteration operation, and superimposed analysis method has been applied to generate the digital map and to analyze the impact of inundation. Fieldwork measurement has been done using cross-profiling in order to observe the impact of inundation on the coastal ecosystem. Based on the scenario of 100 cm and 150 cm of inundation, the affected area is about 15 207.6 Ha and 16 687.31 Ha, respectively. Fishpond, dry farming and paddy field are the most affected agricultural areas due to coastal inundation.

The impact of impact factor on small specialties: A case study of family medicine in Taiwan

2006 ◽  
Vol 66 (3) ◽  
pp. 513-520 ◽  
Author(s):  
Ming-Hsien Lin ◽  
Liang-Kung Chen
Keyword(s):  
Family Medicine ◽  
Impact Factor ◽  
The Impact

scholarly journals Esetek és tanulmányok

2015 ◽  
Vol 156 (46) ◽  
pp. 1871-1874
Author(s):  
András Schubert
Keyword(s):  
Impact Factor ◽  
Case Studies ◽  
Case Reports ◽  
Citation Rate ◽  
Scholarly Literature ◽  
The Impact ◽  
Excessive Number

Case studies and case reports form an important and ever growing part of scientific and scholarly literature. The paper deals with the share and citation rate of these publication types on different fields of research. In general, evidence seems to support the opinion that an excessive number of such publications may negatively influence the impact factor of the journal. In the literature of scientometrics, case studies (at least the presence of the term “case study” in the titles of the papers) have a moderate share, but their citation rate is practically equal to that of other publication types. Orv. Hetil., 2015, 156(46), 1871–1874.

Importance, Errors, and Patterns of Quotations to Psychiatric Original Articles

2020 ◽  
Vol 53 (06) ◽  
pp. 247-255
Author(s):  
Christopher Baethge
Keyword(s):  
Impact Factor ◽  
Scientific Reasoning ◽  
Medical Science ◽  
German Language ◽  
Independent Replication ◽  
Multivariable Analyses ◽  
Almost All ◽  
The Impact ◽  
Relevant Factors

Abstract Introduction A substantial rate of quotation errors has been reported in medical journal publications: about 25% of all quotations are wrong. It is, however, entirely unclear how important quotation errors are for the message of quoting articles. Methods This is a case study in form of a retrospective quotation analysis of a cohort of 72 psychiatric original articles (index articles) from 5 German-language general psychiatric journals. Main outcomes were importance and accuracy of quotations from the 2 calendar years following the publication of index articles. Results Fifty-one index articles were quoted 235 times in 109 quoting articles. Almost all quotations were of medium (76% [95% CI: 70%; 81%]) or high (20% [15%, 25%]) importance for the message of the quoting paper. Regarding quotation accuracy, 44 quotations (19% [14%; 24%]) were rated as minor, and 51 (22% [17%; 27%]) as major errors. In multivariable analyses, no statistically significant and practically relevant factors associated with quotation inaccuracy emerged, such as self-quotation, impact factor of the quoting journal, or importance. Among quoting articles, 7 (6% [3%; 13%]) showed a pattern of predominantly quoting index articles from the time span relevant to the calculation of the impact factor. Discussion Quotations are important for the message of the quoting paper. Therefore, quotation errors may be detrimental to scientific reasoning and may undermine public trust in medical science. The present investigation is a case study, and its results are exploratory. While it is plausible that the findings translate into other environments, independent replication is needed.

scholarly journals Impact of dispersed settlement on the structure and diversity of rural landscape (Case study of village Hrušov, Slovak Republic)

2021 ◽  
Vol 94 (1) ◽  
pp. 29-46
Author(s):  
Ján Hanušin
Keyword(s):  
Land Cover ◽  
Driving Force ◽  
Agricultural Land ◽  
Slovak Republic ◽  
Rural Landscape ◽  
Landscape Diversity ◽  
Primary Hypothesis ◽  
The Impact ◽  
Different Levels

The impact of a dispersed settlement on the changes of the land cover (LC) and landscape diversity (LDI) in the years 1950, 1986 and 2016 was analyzed on four spatially different levels: on the level of the whole cadastral area, 60 circular areas – hinterlands of hamlets, 15 circular areas in agricultural land outside hamlets and areas outside circular areas. The primary hypothesis that the landscape with a dispersed settlement is internally differentiated in terms of LC and LDI changes and that a dispersed settlement itself is an important driving force of these changes has been confirmed.

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