scholarly journals Sustainability of Small-Scale Forestry and Its Influencing Factors in Lithuania

Forests ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 619
Author(s):  
Stasys Mizaras ◽  
Asta Doftartė ◽  
Diana Lukminė ◽  
Rita Šilingienė

Small-scale private forestry is widespread in many countries and occupies 40.3% of the total forest area in Lithuania. The pursuit of sustainability has become one of the main goals of forest policy. In order for small-scale private forestry to be based upon sustainability principles, its sustainability must first be assessed and analyzed. This study assesses the sustainability of 385 small forest holdings of Lithuania using established forest sustainability assessment methods and performs an analysis of the factors influencing the sustainability of small forest holdings using correlation analysis. The Lithuanian small-scale forest holdings were categorized in terms of their level of sustainability as being very high and high (assessed on a five-point scale as 3.5–5 points)—13.6%, middle (2.5–3.5 points)—28.8%, or low and very low (1.0–2.5 points)—57.6%, with the corresponding proportion of holdings indicated as a percentage. A total of 40 independent variables were hypothesized, and their correlation with the sustainability assessments of the holdings was verified. The correlation analysis found mostly weak but reliable (p < 0.05) relationships with 23 independent variables: very weak—12 variables, weak—7 variables, middle—2 variables, and strong—2 variables. Moderate and strong correlations were found for the following variables: the owner’s view of the forest’s economic importance (correlation coefficient: 0.862), income per hectare (0.840), the importance of forestry in the common activity of the owners (0.525), the percentage of mature stands (0.476), the diversity of activities in forest holdings (0.361), and how the wood is used (0.328).

2019 ◽  
Vol 26 (1) ◽  
Author(s):  
Stasys Mizaras ◽  
Asta Doftartė ◽  
Diana Lukminė

The development of private forestry in Lithuania has raised the problem of its sustainability assessment. In order for private forest management in small holdings to be based on sustainability principles, this sustainability must be characterized by a system of measurable criteria and indicators. The purpose of the study is to assess the sustainability of Lithuanian private forestry. Based on European and other processes on criteria and indicators of sustainable forest management for the first time Lithuanian private forestry sustainability was assessed. The assessment model is based on the multicriteria analysis and includes 7 steps: 1) criteria and indicators, 2) their importance, 3) values of indicators, 4) target indicators, 5) assessment scales, 6) assessment of indicators, 7) overall assessment. The article describes the small-scale private forestry of Lithuania, the model of its sustainability assessment and the results of the assessment. The assessment score for the sustainability of Lithuanian private forestry is 3.2 on the 5-point scale.


2000 ◽  
Vol 151 (12) ◽  
pp. 480-483 ◽  
Author(s):  
Pekka Patosaari

Mandated by the Swiss Forestry Agency, a group of internationally recognised experts drew up a sustainability assessment of Swiss forest policy. In this paper, the author, himself a member of the expert panel, presents the main results of this study. The strong protection regime of forests, for instance, is seen as one of the strengths of Swiss forest policy, whereas the lack of economic efficiency as well as the lack of clear policy goals with corresponding evaluation criteria have been identified as areas of concern.


2000 ◽  
Vol 151 (12) ◽  
pp. 472-479 ◽  
Author(s):  
Ingrid Kissling-Näf

A group of international experts evaluated whether the aims and instruments of Swiss forest policy are suitable for the promotion of sustainable forest management based on the pan-European criteria. Approach and main results are presented as well as the method developed for the definition of sustainability indicators as an instrument for the evaluation of sectoral policies and the possibility of a transfer of methods and indicators on an international level.


Conservation ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 168-181
Author(s):  
Mohammad Ismail Hossain ◽  
Shinya Numata

In protected areas (PAs) in Bangladesh, as policies shift from net deforestation, conservation initiatives and various management plans have been implemented to reduce deforestation and include public participation at multiple levels. However, the interactive effect of land-related policies on deforestation in PAs is poorly understood. In this study, land-use change analysis using geographic information system data was performed to investigate how policies affected land use and land cover change in Rema-Kalenga Wildlife Sanctuary (RKWS), particularly the National Forest Policy (1979~), National Land Policy (2001~), and Agricultural Land Policy (1999~), using a series of Landsat images captured at different times. Our analyses showed that the total forest area increased in the 1994–2005 period when a plantation program was implemented, and also that many forest areas were replaced with noncommercial agricultural land areas in the 2005–2013 and 2013–2018 periods, when land zoning and co-management programs were implemented under different land-related policies. Commercial and non-commercial agricultural land expansions were the main drivers of deforestation, suggesting that several programs under the different land-related policies could have had synergetic effects on deforestation even in PAs. Our findings emphasize the importance of considering the undesirable effects of land-related policies in Pas, and the need to support the community for forest conservation.


2019 ◽  
Vol 88 ◽  
pp. 104109
Author(s):  
Micah G. Scudder ◽  
Jack Baynes ◽  
Grahame Applegate ◽  
John Herbohn

2021 ◽  
pp. 107815522199284
Author(s):  
Ana C Riestra ◽  
Carmen López-Cabezas ◽  
Marion Jobard ◽  
Mertxe Campo ◽  
María J Tamés ◽  
...  

Introduction The aim of this study is to compare productivity of the KIRO Oncology compounding robot in three hospital pharmacy departments and identify the key factors to predict and optimize automatic compounding time. Methods The study was conducted in three hospitals. Each hospital compounding workload and workflow were analyzed. Data from the robotic compounding cycles from August 2017 to July 2018 were retrospectively obtained. Nine cycle specific parameters and five productivity indicators were analysed in each site. One-to-one differences between hospitals were evaluated. Next, a correlation analysis between cycle specific factors and productivity indicators was conducted; the factors presenting a highest correlation to automatic compounding time were used to develop a multiple regression model (afterwards validated) to predict the automatic compounding time. Results A total of 2795 cycles (16367 preparations) were analysed. Automatic compounding time showed a relevant positive correlation (ǀrs|>0.40) with the number of preparations, number of vials and total volume per cycle. Therefore, these cycle specific parameters were chosen as independent variables for the mathematical model. Considering cycles lasting 40 minutes or less, predictability of the model was high for all three hospitals (R2:0.81; 0.79; 0.72). Conclusion Workflow differences have a remarkable incidence in the global productivity of the automated process. Total volume dosed for all preparations in a cycle is one of the variables with greater influence in automatic compounding time. Algorithms to predict automatic compounding time can be useful to help users in order to plan the cycles launched in KIRO Oncology.


2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Yuliana Kristin ◽  
Rommy Qurniati ◽  
Hari Kaskoyo

Wan Abdul Rachman Forest Park (Tahura WAR) has experienced the fluctuations in land cover changes in each year. It caused by the interaction of community in utilization of Tahura WAR. The purpose of this study was to determine the level of interaction by the community around Tahura WAR and the influenced factors of it. The product moment correlation analysis was used to see the real relation between the independent variables (the level of interaction) and the dependent variable (land area, income, and the number of family dependents). The result showed that the interaction of the community in the Tahura WAR was moderate. It included the activity of community-related in utilization, preservation and forest protection. The level of interaction was influenced by the land area and the income level of the respondents. Keywords: interaction, Tahura WAR, land area, income.


2018 ◽  
Vol 10 (8) ◽  
pp. 2942 ◽  
Author(s):  
Alexander Zorn ◽  
Michele Esteves ◽  
Ivo Baur ◽  
Markus Lips

In agriculture, a rising number of sustainability assessments are available that also comprise financial ratios. In a literature review of farm management textbooks, taking account of the differences between European and North American practices and considering prevalent sustainability assessment approaches, we identified frequently used financial ratios. Five ratios relate to the indicator profitability and four to the indicator liquidity. Another eight financial indicators refer to the indicators financial efficiency, stability, solvency and repayment capacity. Based on more than 14,000 accountancies of dairy farms from the Swiss Farm Accountancy Data Network (FADN), we carried out a Spearman correlation analysis for normalised and harmonised financial ratios. The correlation analysis revealed mostly positive correlations. To assess the implementation of a quantitative economic sustainability assessment we compare an aggregated indicator compound of all 17 ratios with two selections of financial ratios–first, a compound European and, second, a compound North American economic sustainability indicator. The correlation between the complete and the reduced sets of indicators suggest that both aggregate economic indicators can be reasonably applied to estimate the economic sustainability for Swiss dairy farms.


1972 ◽  
Vol 9 (2) ◽  
pp. 187-192 ◽  
Author(s):  
Mark I. Alpert ◽  
Robert A. Peterson

Canonical correlation analysis has been increasingly applied to marketing problems. This article presents some suggestions for interpreting canonical correlations, particularly for avoiding overstatement of the shared variation between sets of independent variables and for explicating relationships among variables within each set.


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