scholarly journals Assessing Drivers of Forest Conservation in Simancuang Village Forest, West Sumatra

Author(s):  
Adelina Chandra ◽  
Dimas Fauzi ◽  
Fadhilla Husnul Khatimah ◽  
Satrio Adi Wicaksono

AbstractThis study empirically assessed Social Forestry program implementation in Simancuang Village Forest or locally known as Hutan Nagari (HN) Simancuang in West Sumatra, Indonesia. We performed two analyses using primary and secondary data, namely propensity score matching to estimate the effects of the enactment of HN Simancuang in 2012 on forest cover loss and ordinal logistic regression (OLR) to predict the determinants of conservation awareness. The results of the forest cover analysis showed that forest cover loss in HN Simancuang between 2012 and 2019 was 0.038 percentage point lower than the adjacent protection forest. The relatively small impact was meaningful because although HN Simancuang is located much closer to settlements which increases the pressure on the forest, it could still maintain lower tree cover losses than the adjacent protection forest. This result indicated a certain degree of conservation awareness among HN Simancuang members, which prompted us to conduct a survey to 111 individuals from different households. To do this, we used the Ecosystem Services framework to conceptualise conservation awareness in HN Simancuang. Our OLR results showed that regulating and provisioning services of forests are the strong determinants of conservation awareness among the individuals in our sample. Our study indicates the need to implement social forestry program monitoring and evaluation, improve access to facilitation, and enhance agroforestry practice as the means to increase conservation awareness among forest-dwelling communities.

2014 ◽  
Vol 6 (9) ◽  
pp. 8878-8903 ◽  
Author(s):  
Xiao-Peng Song ◽  
Chengquan Huang ◽  
Joseph Sexton ◽  
Saurabh Channan ◽  
John Townshend

2020 ◽  
Vol 12 (19) ◽  
pp. 3226
Author(s):  
Daniel Cunningham ◽  
Paul Cunningham ◽  
Matthew E. Fagan

Global tree cover products face challenges in accurately predicting tree cover across biophysical gradients, such as precipitation or agricultural cover. To generate a natural forest cover map for Costa Rica, biases in tree cover estimation in the most widely used tree cover product (the Global Forest Change product (GFC) were quantified and corrected, and the impact of map biases on estimates of forest cover and fragmentation was examined. First, a forest reference dataset was developed to examine how the difference between reference and GFC-predicted tree cover estimates varied along gradients of precipitation and elevation, and nonlinear statistical models were fit to predict the bias. Next, an agricultural land cover map was generated by classifying Landsat and ALOS PalSAR imagery (overall accuracy of 97%) to allow removing six common agricultural crops from estimates of tree cover. Finally, the GFC product was corrected through an integrated process using the nonlinear predictions of precipitation and elevation biases and the agricultural crop map as inputs. The accuracy of tree cover prediction increased by ≈29% over the original global forest change product (the R2 rose from 0.416 to 0.538). Using an optimized 89% tree cover threshold to create a forest/nonforest map, we found that fragmentation declined and core forest area and connectivity increased in the corrected forest cover map, especially in dry tropical forests, protected areas, and designated habitat corridors. By contrast, the core forest area decreased locally where agricultural fields were removed from estimates of natural tree cover. This research demonstrates a simple, transferable methodology to correct for observed biases in the Global Forest Change product. The use of uncorrected tree cover products may markedly over- or underestimate forest cover and fragmentation, especially in tropical regions with low precipitation, significant topography, and/or perennial agricultural production.


Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 959
Author(s):  
Benjamin Clark ◽  
Ruth DeFries ◽  
Jagdish Krishnaswamy

As part of its nationally determined contributions as well as national forest policy goals, India plans to boost tree cover to 33% of its land area. Land currently under other uses will require tree-plantations or reforestation to achieve this goal. This paper examines the effects of converting cropland to tree or forest cover in the Central India Highlands (CIH). The paper examines the impact of increased forest cover on groundwater infiltration and recharge, which are essential for sustainable Rabi (winter, non-monsoon) season irrigation and agricultural production. Field measurements of saturated hydraulic conductivity (Kfs) linked to hydrological modeling estimate increased forest cover impact on the CIH hydrology. Kfs tests in 118 sites demonstrate a significant land cover effect, with forest cover having a higher Kfs of 20.2 mm hr−1 than croplands (6.7mm hr−1). The spatial processes in hydrology (SPHY) model simulated forest cover from 2% to 75% and showed that each basin reacts differently, depending on the amount of agriculture under paddy. Paddy agriculture can compensate for low infiltration through increased depression storage, allowing for continuous infiltration and groundwater recharge. Expanding forest cover to 33% in the CIH would reduce groundwater recharge by 7.94 mm (−1%) when converting the average cropland and increase it by 15.38 mm (3%) if reforestation is conducted on non-paddy agriculture. Intermediate forest cover shows however shows potential for increase in net benefits.


Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 817
Author(s):  
Jesús Julio Camarero ◽  
Michele Colangelo ◽  
Antonio Gazol ◽  
Manuel Pizarro ◽  
Cristina Valeriano ◽  
...  

Windstorms are forest disturbances which generate canopy gaps. However, their effects on Mediterranean forests are understudied. To fill that research gap, changes in tree, cover, growth and soil features in Pinus halepensis and Pinus sylvestris plantations affected by windthrows were quantified. In each plantation, trees and soils in closed-canopy stands and gaps created by the windthrow were sampled. Changes in tree cover and radial growth were assessed by using the Normalized Difference Vegetation Index (NDVI) and dendrochronology, respectively. Soil features including texture, nutrients concentration and soil microbial community structure were also analyzed. Windthrows reduced tree cover and enhanced growth, particularly in the P. halepensis site, which was probably more severely impacted. Soil characteristics were also more altered by the windthrow in this site: the clay percentage increased in gaps, whereas K and Mg concentrations decreased. The biomass of Gram positive bacteria and actinomycetes increased in gaps, but the biomass of Gram negative bacteria and fungi decreased. Soil gaps became less fertile and dominated by bacteria after the windthrow in the P. halepensis site. We emphasize the relevance of considering post-disturbance time recovery and disturbance intensity to assess forest resilience within a multi-scale approach.


2018 ◽  
Vol 3 (1) ◽  
pp. 26-50
Author(s):  
Arnold Ngatia ◽  
Dr. Allan Kihara

Purpose: This study sought to assess the determinants of sustainability of donor funded community projects in Garissa County. The study specifically focused on community participation, financial administration, training and leadership and management on sustainability of donor funded community projects in Garissa County. The variables were anchored by the freirean theory, results theory, competency theory and the systems theory.Methodology: The study adopted a descriptive research design and the population included donor funded project managers, donor agencies and project beneficiaries. Mugenda and Mugenda’s sample determination formula to acquire a sample size of 246 respondents. Further, the study employed stratified sampling so as to determine the exact number of respondents from the different categories. Primary data was collected through semi structured questionnaire while secondary data was collected through  desk search techniques from the internet from past scholarly articles. Quantitative data was analysed using a multivariate regression model while qualitative data was analysed using content analysis method.Results: Inferential results revealed a positive and significant relationship between community participation and sustainability of donor funded community projects and also positive and significant association between financial management and sustainability of donor funded community projects in Garissa County.Contribution: The study concluded that an improvement in various indicators of community participation such as donor funded community projects leaders’ vision, community empowerment and community decision-making, programme planning, monitoring and evaluation, leadership and management skills, establishment of linkages between project components, supervision and mobilization of local resources will result to positive and significant effect on sustainability of donor funded community projects in Garissa County. The study also concluded that improvement in some of the indicators that define financial management results to positive and significant effect on sustainability of donor funded community projects in Garissa County.


2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Daniel T. L. Shek

The purpose of this study was to evaluate the effectiveness of the Tier 1 Program of the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in Hong Kong by analyzing 1,327 school-based program reports submitted by program implementers. In each report, program implementers were invited to write down five conclusions based on an integration of the subjective outcome evaluation data collected from the program participants and program implementers. Secondary data analyses were carried out by aggregating nine databases, with 14,390 meaningful units extracted from 6,618 conclusions. Results showed that most of the conclusions were positive in nature. The findings generally showed that the workers perceived the program and program implementers to be positive, and they also pointed out that the program could promote holistic development of the program participants in societal, familial, interpersonal, and personal aspects. However, difficulties encountered during program implementation (2.15%) and recommendations for improvement were also reported (16.26%). In conjunction with the evaluation findings based on other strategies, the present study suggests that the Tier 1 Program of the Project P.A.T.H.S. is beneficial to the holistic development of the program participants.


2015 ◽  
Vol 11 (27) ◽  
pp. 120
Author(s):  
Osama Eldeeb ◽  
Petr Prochazka ◽  
Mansoor Maitah

<p>Indonesian biodiversity is threatened by massive deforestation. In this research paper, claims that deforestation in Indonesia is caused by corruption and supported by crude palm oil production is verified using time series analysis. Using Engel Granger cointegration test, three time series of data, specifically corruption perception index, rate of deforestation and price of crude palm oil are inspected for a long-run relationship. Test statistics suggests that there is no long-run relationship among these variables. Authors provide several explanations for this result. For example, corruption in Indonesia, as measured by CPI is still very high. This may mean that forest cover loss is possible even though there is a positive change in corruption level. According to the results, crude palm oil price has also no effect upon forest cover loss. This is likely due to very low shut-down price of crude palm oil for which production is still economical.</p>


2020 ◽  
pp. 1-13
Author(s):  
Magdalena Drăgan ◽  
Gabriela-Alina Mureşan ◽  
József Benedek

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Yohana Pranita ◽  
Idris Idris

Abstrak : This study aims to determine and analyze the effect of capital expenditureon economic growth and income inequality in West Sumatra. This research isdescriptive and inductive. The data used in this study is secondary data with datacollection using panel data obtained from BPS West Sumatra Province 2014-2018period with 19 regencies / cities in West Sumatra. This study analyzed using asimultaneous equation model (simultaneous equation regression model). The resultsof this study indicate that (1) Capital Expenditures have a significant effect onEconomic Growth in West Sumatra (2) Capital Expenditures have no significanteffect on Income Inequality in West Sumatra (3) Simultaneously Capital Expendituresand Economic Growth have a significant effect on Income Inequality in WestSumatra.Keyword : Capital Expenditure, Economic Growth, Income Inequality


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