scholarly journals Examining Soil Erosion Responses to Grassland Conversation Policy in Three-River Headwaters, China

2021 ◽  
Vol 13 (5) ◽  
pp. 2702
Author(s):  
Yuting Zhao ◽  
Yanfei Pu ◽  
Huilong Lin ◽  
Rong Tang
Keyword(s):  
Soil Erosion ◽  
Central Government ◽  
Decision Makers ◽  
Grassland Conservation ◽  
Soil Erosion Rate ◽  
Mk Test ◽  
Timely Feedback ◽  
Grassland Type ◽  
Before And After ◽  
Grassland Types

Soil erosion in the Three-River Headwaters (TRH) region has continued to intensify in recent decades due to human activities and climate change. To reverse this situation, the Chinese central government has launched the Subsidy and Incentive System for Grassland Conservation (SISGC). As a sign of the effectiveness of SISGC implementation, the dynamic changes of soil erosion can provide timely feedback for decision makers and managers. The Revised Universal Soil Loss Equation (RUSLE) model was used to simulate the spatial distribution of soil erosion before and after SISGC implementation, and Mann–Kendall (MK) test to reveal the effect of policy implementation. The results showed that: (1) the soil erosion in the TRH was mainly mild (83.83% of the total eroded area), and the average soil erosion rate and the total erosion were 13.63 t ha−1 y−1 and 323.58 × 106 t y−1 respectively before SISGC implementation; (2) SISGC implementation has curbed soil erosion. After SISGC implementation, the total soil erosion decreased by 3.80%, which showed obvious differences between grassland types; (3) The influences of SISGC were mainly because it has increased vegetation cover, further decreasing soil erosion. However, soil erosion in Alpine grassland has deteriorated, indicating direct targeted policymaking should be on the agenda. Furthermore, SISGC should be continued and grassland-type-oriented to restore the grassland ecosystem.

scholarly journals Spatial Estimation of Soil Erosion Using RUSLE Modeling: A case study of Dolakha District, Nepal

2020 ◽  
Author(s):  
Pawan Thapa
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Agricultural Land ◽  
Decision Makers ◽  
Management Planning ◽  
Erosion Risk ◽  
Spatial Estimation ◽  
The North ◽  
Soil Erosion Rate ◽  
Severe Erosion

Abstract Background: Soil erosion causes topsoil loss, which decreases fertility in agricultural land. Spatial estimation of soil erosion essential for an agriculture-dependent country like Nepal for developing its control plans. This study evaluated impacts on Dolakha using the Revised Universal Soil Loss Equation (RUSLE) model; analyses the effect of Land Use and Land Cover (LULC) on soil erosion. Results: The soil erosion rate categorized into six classes based on the erosion severity, and 5.01% of the areas found under extreme severe erosion risk (> 80 Mg ha-1yr-1) addressed by decision-makers for reducing its rate and consequences. Followed by 10 % classified between high and severe range from 10 to 80 Mg ha-1yr-1. While 15% and 70% of areas remained in a moderate and low-risk zone, respectively. Result suggests the area of the north-eastern part suffers from a high soil erosion risk due to steep slope. Conclusions: The result produces a spatial distribution of soil erosion over Dolakha, which applied for conservation and management planning processes, at the policy level, by land-use planners and decision-makers.

scholarly journals Spatial Estimation of Soil Erosion Using RUSLE Modeling: A case study of Dolakha District, Nepal

2020 ◽  
Author(s):  
Pawan Thapa
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Agricultural Land ◽  
Decision Makers ◽  
Management Planning ◽  
Erosion Risk ◽  
Spatial Estimation ◽  
The North ◽  
Soil Erosion Rate ◽  
Severe Erosion

Abstract Background: Soil erosion causes topsoil loss, which decreases fertility in agricultural land. Spatial estimation of soil erosion essential for an agriculture-dependent country like Nepal for developing its control plans. This study evaluated impacts on Dolakha using the Revised Universal Soil Loss Equation (RUSLE) model; analyses the effect of Land Use and Land Cover (LULC) on soil erosion.Results: The soil erosion rate categorized into six classes based on the erosion severity, and 5.01% of the areas found under extreme severe erosion risk (> 80 Mg ha-1yr-1) addressed by decision-makers for reducing its rate and consequences. Followed by 10 % classified between high and severe range from 10 to 80 Mg ha-1yr-1. While 15% and 70% of areas remained in a moderate and low-risk zone, respectively. Result suggests the area of the north-eastern part suffers from a high soil erosion risk due to steep slope.Conclusions: The result produces a spatial distribution of soil erosion over Dolakha, which applied for conservation and management planning processes, at the policy level, by land-use planners and decision-makers.

scholarly journals Cooperation & Liaison between Universities & Editors (CLUE): recommendations on best practice

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Elizabeth Wager ◽  
◽  
Sabine Kleinert
Keyword(s):  
Peer Review ◽  
Best Practice ◽  
Research Integrity ◽  
Decision Makers ◽  
Publication Ethics ◽  
List Type ◽  
Research Institutions ◽  
Academic Journals ◽  
Before And After ◽  
Published Research

Abstract Background Inaccurate, false or incomplete research publications may mislead readers including researchers and decision-makers. It is therefore important that such problems are identified and rectified promptly. This usually involves collaboration between the research institutions and academic journals involved, but these interactions can be problematic. Methods These recommendations were developed following discussions at World Conferences on Research Integrity in 2013 and 2017, and at a specially convened 3-day workshop in 2016 involving participants from 7 countries with expertise in publication ethics and research integrity. The recommendations aim to address issues surrounding cooperation and liaison between institutions (e.g. universities) and journals about possible and actual problems with the integrity of reported research arising before and after publication. Results The main recommendations are that research institutions should: develop mechanisms for assessing the integrity of reported research (if concerns are raised) that are distinct from processes to determine whether individual researchers have committed misconduct; release relevant sections of reports of research integrity or misconduct investigations to all journals that have published research that was investigated; take responsibility for research performed under their auspices regardless of whether the researcher still works at that institution or how long ago the work was done; work with funders to ensure essential research data is retained for at least 10 years. Journals should: respond to institutions about research integrity cases in a timely manner; have criteria for determining whether, and what type of, information and evidence relating to the integrity of research reports should be passed on to institutions; pass on research integrity concerns to institutions, regardless of whether they intend to accept the work for publication; retain peer review records for at least 10 years to enable the investigation of peer review manipulation or other inappropriate behaviour by authors or reviewers. Conclusions Various difficulties can prevent effective cooperation between academic journals and research institutions about research integrity concerns and hinder the correction of the research record if problems are discovered. While the issues and their solutions may vary across different settings, we encourage research institutions, journals and funders to consider how they might improve future collaboration and cooperation on research integrity cases.

Breaking The Silos: an online and narrator-led role-playing game for multi-risk DRR management

2021 ◽  
Author(s):  
Marleen de Ruiter ◽  
Anaïs Couasnon ◽  
Philip Ward
Keyword(s):  
Expert Knowledge ◽  
Recovery Process ◽  
Role Playing ◽  
Disaster Risk ◽  
Decision Makers ◽  
Economic Sectors ◽  
Disaster Impacts ◽  
Strong Focus ◽  
Before And After ◽  
Role Playing Game

<p>The increased complexity of disaster risk due to climate change, expected population growth and the increasing interconnectedness of disaster impacts across communities and economic sectors, require Disaster Risk Reduction (DRR) measures and practitioners that are better able to address these complexities. Nonetheless, in the traditional risk paradigm, there is a strong focus on single-hazards and the risk faced by individual communities and sectors.</p><p><em>Breaking the Silos</em> is a narrator-led, role-playing game designed to support decision makers and stakeholders in understanding and managing the complexities of implementing DRR measures in a multi-(hazard) risk setting. The game starts in de aftermath of a (randomly selected) disaster. The different roles include key decision-makers and stakeholders of a country. The team is responsible for the post-disaster recovery process and can decide to implement DRR measures. However, while some of these DRR measures can decrease risk of one hazard, they can increase the risk of another hazard. In each subsequent round, the team faces another (randomly selected) disaster. Unlike many other risk serious games, <em>Breaking the Silos </em>includes many random factors to better simulate reality. The roles are designed such that expert knowledge and objectives are spread throughout the participants and they can even be conflicting at times.</p><p>The game was successfully launched during the World Bank’s 2020 Understanding Risk conference. Before and after playing the game, participants were asked to complete surveys asking them about their perception of the challenges of Disaster Risk Management and whether the game raised their awareness of these challenges. The preliminary findings indicate that <em>Breaking the Silos</em> is a useful tool in supporting decision makers and practitioners to become aware of (the risks of) hazard-silo thinking and possible (a)synergies of DRR measures.</p>

scholarly journals Assessment of Soil Erosion Vulnerability in the Heavily Populated and Ecologically Fragile Communities in Motozintla De Mendoza, Chiapas, Mexico

2017 ◽  
Author(s):  
Selene B. González-Morales ◽  
Alex Mayer ◽  
Neptalí Ramírez-Marcial
Keyword(s):  
Soil Erosion ◽  
Erosion Rate ◽  
Negative Response ◽  
Attitudes And Practices ◽  
Erosion Rates ◽  
Soil Erosion Rate ◽  
Kap Survey ◽  
Level Of Knowledge ◽  
Steep Slopes ◽  
Knowledge Attitudes And Practices

Abstract. The physical aspects and knowledge of soil erosion in six communities in rural Chiapas, Mexico were assessed. Average erosion rates estimated with the RUSLE model ranged from 200 to 1,200 ha−1 yr−1. Most erosion rates are relatively high due to steep slopes, sandy soils and bare land cover. The lowest rates occur where corn is cultivated for much of the year and slopes are relatively low. The results of a knowledge, attitudes and practices (KAP) survey showed that two-thirds of respondents believed that the major cause of soil erosion was hurricanes or rainfall and only 14 % of respondents identified human activities as causes of erosion. Forty-two percent of respondents indicated that the responsibility for solving soil erosion problems lies with government, as opposed to 26 % indicating that the community is responsible. More than half of respondents believed that reforestation is a viable option for reducing soil erosion, but only a third of respondents were currently applying reforestation practices and another one-third indicated that they were not following any conservation practices. The KAP results were used to assess the overall level of knowledge and interest in soil erosion problems and their solutions by compiling negative responses. The community of Barrio Vicente Guerrero may be most vulnerable to soil erosion, since it had the highest average negative response and the second highest soil erosion rate. However, Poblado Cambil had the highest estimated soil erosion rate and a relatively low average negative response rate, suggesting that soil conservation efforts should be prioritized for this community. We conclude that as long as the economic and productive needs of the communities are not solved simultaneously, the risk of soil erosion will increase in the future, which threatens the survival of these communities.

scholarly journals KINERJA KEUANGAN DAERAH PASCA PERALIHAN BEA PEROLEHAN HAK ATAS TANAH DAN BANGUNAN

2017 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Juli Juli Juli
Keyword(s):  
Local Government ◽  
Financial Performance ◽  
Local Governments ◽  
Central Government ◽  
Capital Expenditure ◽  
Local Taxes ◽  
Paired Samples ◽  
Before And After ◽  
Operational Expenditure ◽  
Observation Period

This study examined differences in the local government's financial performance before and after the transition from central tax BPHTB be local taxes? In general, this study aims to determine the contribution BPHTB to the PAD as a source of funding for the survival of each region in order to achieve local autonomy system. The samples used in this study is the district/city that has existed since autonomy BPHTB not be treated as 114 cities/districts. The realization of the study observation period is the period before the transition budget BPHTB (Year 2010) and after the transition BPHTB (Year 2011). The research data were statistically tested with a different test of two paired samples. The results show that the performance of local government in Java have differences before and after the transition BPHTB from the central government to local governments. This research can provide empirical evidence of the differences in the financial performance of the post-transition region from the center to the regions BPHTB especially Java. The results of this study can also be used as a reference in future studies with similar themes to consider several things. First, the use of samples that are not confined to the local government but the entire Indonesian island of Java. Second, adding the growth rate ie performance measurement. Third, review the compatibility ratio because in addition to operational expenditure and capital expenditure is no longer heading in the budget expenditure is financing and transfer.     Keywords: Bea Perolehan Hak atas Tanah dan Bangunan, Financial Performance, Autonomous Region.

scholarly journals Estimation of soil loss using remote sensing and GIS-based universal soil loss equation in northern catchment of Lake Tana Sub-basin, Upper Blue Nile Basin, Northwest Ethiopia

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Veera Narayana Balabathina ◽  
R. P. Raju ◽  
Wuletaw Mulualem ◽  
Gedefaw Tadele
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Soil Erosion ◽  
Soil Loss ◽  
Erosion Rate ◽  
Soil Erodibility ◽  
Lake Tana ◽  
Erosion Rates ◽  
Soil Erosion Rate ◽  
Soil Loss Equation

Abstract Background Soil erosion is one of the major environmental challenges and has a significant impact on potential land productivity and food security in many highland regions of Ethiopia. Quantifying and identifying the spatial patterns of soil erosion is important for management. The present study aims to estimate soil erosion by water in the Northern catchment of Lake Tana basin in the NW highlands of Ethiopia. The estimations are based on available data through the application of the Universal Soil Loss Equation integrated with Geographic Information System and remote sensing technologies. The study further explored the effects of land use and land cover, topography, soil erodibility, and drainage density on soil erosion rate in the catchment. Results The total estimated soil loss in the catchment was 1,705,370 tons per year and the mean erosion rate was 37.89 t ha−1 year−1, with a standard deviation of 59.2 t ha−1 year−1. The average annual soil erosion rare for the sub-catchments Derma, Megech, Gumara, Garno, and Gabi Kura were estimated at 46.8, 40.9, 30.9, 30.0, and 29.7 t ha−1 year−1, respectively. Based on estimated erosion rates in the catchment, the grid cells were divided into five different erosion severity classes: very low, low, moderate, high and extreme. The soil erosion severity map showed about 58.9% of the area was in very low erosion potential (0–1 t ha−1 year−1) that contributes only 1.1% of the total soil loss, while 12.4% of the areas (36,617 ha) were in high and extreme erosion potential with erosion rates of 10 t ha−1 year−1 or more that contributed about 82.1% of the total soil loss in the catchment which should be a high priority. Areas with high to extreme erosion severity classes were mostly found in Megech, Gumero and Garno sub-catchments. Results of Multiple linear regression analysis showed a relationship between soil erosion rate (A) and USLE factors that soil erosion rate was most sensitive to the topographic factor (LS) followed by the support practice (P), soil erodibility (K), crop management (C) and rainfall erosivity factor (R). Barenland showed the most severe erosion, followed by croplands and plantation forests in the catchment. Conclusions Use of the erosion severity classes coupled with various individual factors can help to understand the primary processes affecting erosion and spatial patterns in the catchment. This could be used for the site-specific implementation of effective soil conservation practices and land use plans targeted in erosion-prone locations to control soil erosion.

scholarly journals Sediment Yield and Soil Loss Estimation Using GIS Based Soil Erosion Model: A Case Study in the MAN Catchment, Madhya Pradesh, India

2021 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
Manti Patil ◽  
Radheshyam Patel ◽  
Arnab Saha
Keyword(s):  
Spatial Distribution ◽  
Soil Erosion ◽  
Soil Loss ◽  
Crop Production ◽  
Erosion Rate ◽  
Agricultural Land ◽  
Reservoir Sedimentation ◽  
Reservoir Water ◽  
Slope Length ◽  
Soil Erosion Rate

Soil erosion is one of the most critical environmental hazards of recent times. It broadly affects to agricultural land and reservoir sedimentation and its consequences are very harmful. In agricultural land, soil erosion affects the fertility of soil and its composition, crop production, soil quality and land quality, yield and crop quality, infiltration rate and water holding capacity, organic matter and plant nutrient and groundwater regimes. In reservoir sedimentation process the consequences of soil erosion process are reduction of the reservoir capacity, life of reservoir, water supply, power generation etc. Based on these two aspects, an attempt has been made to the present study utilizing Revised Universal Soil Loss Equation (RUSLE) has been used in integration with remote sensing and GIS techniques to assess the spatial pattern of annual rate of soil erosion, average annual soil erosion rate and erosion prone areas in the MAN catchment. The RUSLE considers several factors such as rainfall, soil erodibility, slope length and steepness, land use and land cover and erosion control practice for soil erosion prediction. In the present study, it is found that average annual soil erosion rate for the MAN catchment is 13.01-tons/ha/year, which is higher than that of adopted and recommended values for the project. It has been found that 53% area of the MAN catchment has negligible soil erosion rate (less than 2-tons/ha/year). Its spatial distribution found on flat land of upper MAN catchment. It has been detected that 26% area of MAN catchment has moderate to extremely severe soil erosion rate (greater than 10-tons/ha/year). Its spatial distribution has been found on undulated topography of the middle MAN catchment. It is proposed to treat this area by catchment area treatment activity.

scholarly journals Assessing the Impact of Floods Disaster on Soil Erosion Risk Based on the RUSLE-GloSEM Approach in Western Iran

2021 ◽  
Author(s):  
Morteza Akbari ◽  
Ehsan Neamatollahi ◽  
Hadi Memarian ◽  
Mohammad Alizadeh Noughani
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Soil Erosion ◽  
Land Use Change ◽  
Agricultural Development ◽  
Erosion Risk ◽  
Before And After ◽  
Global Soil ◽  
Major Floods ◽  
The Impact

Abstract Floods cause great damage to ecosystems and are among the main agents of soil erosion. Given the importance of soils for the functioning of ecosystems and development and improvement of bio-economic conditions, the risk and rate of soil erosion was assessed using the RUSLE model in Iran’s Lorestan province before and after a period of major floods in late 2018 and early 2019. Furthermore, soil erosion was calculated for current and future conditions based on the Global Soil Erosion Modeling Database (GloSEM). The results showed that agricultural development and land use change are the main causes of land degradation in the southern and central parts of the study area. The impact of floods was also significant since our evaluations showed that soil erosion increased from 4.12 t ha-1 yr-1 before the floods to 10.93 t ha-1 yr-1 afterwards. Field surveying using 64 ground control points determined that erodibility varies from 0.17 to 0.49% in the study area. Orchards, farms, rangelands and forests with moderate or low vegetation cover were the most vulnerable land uses to soil erosion. The GloSEM modeling results revealed that climate change is the main cause of change in the rate of soil erosion. Combined land use change-climate change simulation showed that soil erosion will increase considerably in the future under SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5 scenarios. In the study area, both natural factors, i.e. climate change and human factors such as agricultural development, population growth, and overgrazing are the main drivers of soil erosion.

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