Relevant bibliographies by topics / Forest mining

Academic literature on the topic 'Forest mining'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Forest mining"

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Goparaju, Laxmi, P. Rama Chandra Prasad, and Firoz Ahmad. "Geospatial technology perspectives for mining vis-a-vis sustainable forest ecosystems." Present Environment and Sustainable Development 11, no. 1 (June 1, 2017): 219–38. http://dx.doi.org/10.1515/pesd-2017-0020.

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Abstract Forests, the backbone of biogeochemical cycles and life supporting systems, are under severe pressure due to varied anthropogenic activities. Mining activities are one among the major reasons for forest destruction questioning the survivability and sustainability of flora and fauna existing in that area. Thus, monitoring and managing the impact of mining activities on natural resources at regular intervals is necessary to check the status of their depleted conditions, and to take up restoration and conservative measurements. Geospatial technology provides means to identify the impact of different mining operations on forest ecosystems and helps in proposing initiatives for safeguarding the forest environment. In this context, the present study highlights the problems related to mining in forest ecosystems and elucidates how geospatial technology can be employed at various stages of mining activities to achieve a sustainable forest ecosystem. The study collates information from various sources and highlights the role of geospatial technology in mining industries and reclamation process.
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JYOTSNA, KUMARI, and ABHINAV TANDON. "A MATHEMATICAL MODEL TO STUDY THE IMPACT OF MINING ACTIVITIES AND POLLUTION ON FOREST RESOURCES AND WILDLIFE POPULATION." Journal of Biological Systems 25, no. 02 (April 4, 2017): 207–30. http://dx.doi.org/10.1142/s0218339017500115.

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In this paper, we develop a nonlinear mathematical model that investigates the impact of mining activities and pollution on forest resources and wildlife population. It is assumed that concentration of pollutants grows in the environment at a constant rate and also augments due to different mining activities prevailing in the forest area. The model is formulated in terms of differential equations and analyzed using elements of stability theory and numerical simulation. The obtained results depict that both forest resources as well as wildlife population get very much affected, either directly or indirectly, due to mining activities and environmental pollution. It is being concluded that, in order to save forests, an ecological balance is required to be maintained among forest resources, forest-dependent wildlife population, mining activities and environmental pollution.
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Brown, Sandra, Abu R. J. Mahmood, Katherine M. Goslee, Timothy R. H. Pearson, Hansrajie Sukhdeo, Daniel N. M. Donoghue, and Pete Watt. "Accounting for Greenhouse Gas Emissions from Forest Edge Degradation: Gold Mining in Guyana as a Case Study." Forests 11, no. 12 (December 7, 2020): 1307. http://dx.doi.org/10.3390/f11121307.

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Background and Methods: Degradation of forests in developing countries results from multiple activities and is perceived to be a key source of greenhouse gas emissions, yet there are not reliable methodologies to measure and monitor emissions from all degrading activities. Therefore, there is limited knowledge of the actual extent of emissions from forest degradation. Degradation can be either in the forest interior, with a repeatable defined pattern within areas of forest, as with timber harvest, or on the forest edge and immediately bounding areas of deforestation. Forest edge degradation is especially challenging to capture with remote sensing or to predict from proxy factors. This paper addresses forest edge degradation and: (1) proposes a low cost methodology for assessing forest edge degradation surrounding deforestation; (2) using the method, provides estimates of gross carbon emissions from forest degradation surrounding and caused by alluvial mining in Guyana, and (3) compares emissions from mining degradation with other sources of forest greenhouse gas emissions. To estimate carbon emissions from forest degradation associated with mining in Guyana, 100 m buffers were located around polygons pre-mapped as mining deforestation, and within these buffers rectangular transects were established. Researchers collected ground data to produce estimates of the biomass damaged as a result of mining activities to apply to the buffer area around the mining deforestation. Results: The proposed method to estimate emissions from forest edge degradation was successfully piloted in Guyana, where 61% of the transects lost 10 Mg C ha−1 or less in trees from mining damage and 46% of these transects lost 1 Mg C ha−1 or less. Seventy percent of the damaged stems and 60% of carbon loss occurred in the first 50 m of the transects. The median loss in carbon stock from mining damage was 2.2 Mg C ha−1 (95% confidence interval: 0.0–10.2 Mg C ha−1). The carbon loss from mining degradation represented 1.0% of mean total aboveground carbon stocks, with emissions from mining degradation equivalent to ~2% of all emissions from forest change in Guyana. Conclusions: Gross carbon emissions from forest degradation around mining sites are of little significance regardless of persistence and potential forest recovery. The development of cost- and time-effective buffers around deforestation provides a sound approach to estimating carbon emissions from forest degradation adjacent to deforestation including surrounding mining. This simple approach provides a low-cost method that can be replicated anywhere to derive forest degradation estimates.
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Triatmojo, Dimas Bagus, Warah Atikah, and Nurul Laili Fadhilah. "Revisiting the Land Conversion of the Protected Forest for the Mining Industry in Tumpang Pitu, Banyuwangi." Indonesian Journal of Law and Society 1, no. 1 (March 30, 2020): 37. http://dx.doi.org/10.19184/ijls.v1i1.16761.

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Indonesia is a country that has abundant natural resources, both renewable and non-renewable. The wealth of natural resources contained in the motherland can be utilized for the needs and welfare of the people of Indonesia under Article 33 paragraph (3) of the 1945 Constitution. One of the natural resources in Indonesia is forests. The government establishes a forest area as a protected forest area for a benefit that is expected by law. There is a violation of the use of protected forest areas for interests outside the forestry sector, namely the conversion of the function of protected forests used as mining land violations that are contrary to Article 38 Paragraph 4 of Law Number 41 of 1999. Mining business activities have negative impacts as well as positive impacts that arise. Mining will harm environmental conditions that can affect the social life of the community, reducing the environmental quality of the positive impact of the existence of mining business activities in an area will cause changes to the economic level, the legal basis for protecting the affected communities in the mining sector, as mandated by Article 28G Paragraph (1) and Article 28H Paragraph (1) of the 1945 Constitution. Keywords: Transfer of Protection Forest Functions, Mining Impacts.
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Braun Kohlová, Markéta, Petra Nepožitková, and Jan Melichar. "How Do Observable Characteristics of Post-Mining Forests Affect Their Attractiveness for Recreation?" Land 10, no. 9 (August 28, 2021): 910. http://dx.doi.org/10.3390/land10090910.

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Afforestation is a popular practice of the recovery of landscape affected by open-cast coal mining. We investigated what impact the observable characteristics of restored forests have on their attractiveness for recreation framed as a one hour walk in a respective type of forest. In this study, we elaborate on some of the observable characteristics which have been previously found in the literature to affect the perceived attractiveness of outdoor environments. Environmental preference data were collected online using a quasi-representative sample of affected and control populations of the Czech Republic (N = 869). The questionnaire employed visual representations of typical reclaimed forest sites on spoil heaps in the Sokolov mining district. A mediation analysis revealed that forests growing in post-mining areas are perceived more negatively than the typical commercial spruce forest due to their lower permeability, lower level of stewardship, and perceived low safety. However, there are differences in observed characteristics also between different types of restored forests, even when controlling the effect of forest age. The results show for forestry practice that while some of the observed characteristics change by themselves with the increasing age of the forest (permeability, perceived safety, and naturalness of successional forests), improvement in others requires targeted after-care (perceived stewardship). In any case, our results are promising in that they imply that the recreational value of restored forests in post-mining areas may further increase in the future.
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Tchindjang, Mesmin, Eric Voundi, Philippes Mbevo Fendoung, Unusa Haman, Frédéric Saha, and Igor Casimir Njombissie Petcheu. "Mapping of the dilemma of mining against forest and conservation in the Lom and Djérem Division, Cameroon." Proceedings of the ICA 1 (May 16, 2018): 1–7. http://dx.doi.org/10.5194/ica-proc-1-111-2018.

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Mining practices in Cameroon began since the colonial period. The artisanal mining sector before independence contributed to 11–20 % of GDP. From 2000, the rich potential of the Cameroonian subsoil attract many foreign investors with over 600 research and mining permits already granted during the last decade. But, Cameroonian forests also have a long history from the colonial period to the pre-sent. However, mining activities in forest environments are governed by two different legal frameworks, including mining code i.e. Law No. 001 of 16 April 2001 organizing the mining industry and Law No. 94-01 of 20 January 1994 governing forests, wildlife and fisheries. Therefore, in the absence of detailed studies of these laws, there are conflicts of interests, rights and obligations that overlap, requiring research needs and taking appropriate decisions. The objective of this research in the Lom and Djérem division is to study, apart from the proliferation of mining li-censes and actors, the dilemma as well as the impact of the extension of mining activities on the degradation of forest cover. Using geospatial tools through multi-temporal and multisensor satellite images (Landsat from 1976 to 2015, IKONOS, GEOEYE, Google Earth) coupled with field investigations; we mapped the dynamic of different forms of land use (mining permits, FMU and protected areas of permanent forest estate) and highlighted paradoxically the conflict of land use. We came to the conclusion that the rhythm of issuing mining permits and authorizations in this forestall zone is so fast that one can wonder whether we still find a patch of forest within 50 years.
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Tetteh, Frederick. "Mining in the Forest Reserve." Journal of Energy & Natural Resources Law 22, no. 2 (May 2004): 241–42. http://dx.doi.org/10.1080/02646811.2004.11433369.

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Rodrigue, J. A., J. A. Burger, and R. G. Oderwald. "Forest Productivity and Commercial Value of Pre-Law Reclaimed Mined Land in the Eastern United States." Northern Journal of Applied Forestry 19, no. 3 (September 1, 2002): 106–14. http://dx.doi.org/10.1093/njaf/19.3.106.

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Abstract The purpose of this study was to investigate the effects of mining practices used prior to the passage of the 1977 Surface Mining Control and Reclamation Act (SMCRA) on forest productivity and commercial value of reclaimed forest sites. Forest productivity and value of 14 mined and 8 nonmined sites throughout the eastern and midwestern coalfield regions were compared. Forest productivity of pre-SMCRA mined sites was equal to or greater than that of nonmined forests, ranging between 3.3 m3ha-1yr-1 and 12.1 m3ha-1yr-1. Management activities such as planting pine and valuable hardwood species increased the stumpage value of forests on reclaimed mine sites. Rotation-age stumpage values on mined study sites ranged between $3,064 ha-1 and $19,528 ha-1 and were commonly greater than stumpage values on nonmined reference sites. Current law requires that mined land be restored to capability levels found prior to mining. These results should provide a benchmark for reforestation success, potential forest productivity, and timber value for current reclamation activities.
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Pratiwi, Budi H. Narendra, Chairil A. Siregar, Maman Turjaman, Asep Hidayat, Henti H. Rachmat, Budi Mulyanto, et al. "Managing and Reforesting Degraded Post-Mining Landscape in Indonesia: A Review." Land 10, no. 6 (June 21, 2021): 658. http://dx.doi.org/10.3390/land10060658.

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Tropical forests are among the most diverse ecosystems in the world, completed by huge biodiversity. An expansion in natural resource extraction through open-pit mining activities leads to increasing land and tropical forest degradation. Proper science-based practices are needed as an effort to reclaim their function. This paper summarizes the existing practice of coal mining, covering the regulatory aspects and their reclamation obligations, the practices of coal mining from various sites with different land characteristics, and the reclamation efforts of the post-mining landscapes in Indonesia. The regulations issued accommodate the difference between mining land inside the forest area and outside the forest area, especially in the aspect of the permit authority and in evaluating the success rate of reclamation. In coal-mining practices, this paper describes starting from land clearing activities and followed by storing soil layers and overburden materials. In this step, proper handling of potentially acid-forming materials is crucial to prevent acid mine drainage. At the reclamation stage, this paper sequentially presents research results and the field applications in rearranging the overburden and soil materials, controlling acid mine drainage and erosion, and managing the drainage system, settling ponds, and pit lakes. Many efforts to reclaim post-coal-mining lands and their success rate have been reported and highlighted. Several success stories describe that post-coal-mining lands can be returned to forests that provide ecosystem services and goods. A set of science-based best management practices for post-coal-mine reforestation is needed to develop to promote the success of forest reclamation and restoration in post-coal-mining lands through the planting of high-value hardwood trees, increasing trees’ survival rates and growth, and accelerating the establishment of forest habitat through the application of proper tree planting technique. The monitoring and evaluation aspect is also crucial, as corrective action may be taken considering the different success rates for different site characteristics.
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Buli, Willyam, Samsul Bakri, and Indra Gumay Febryano. "Coal Mining Institution in Private Forest." Jurnal Sylva Lestari 6, no. 3 (October 2, 2018): 81. http://dx.doi.org/10.23960/jsl3681-90.

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Unlicensed Mining (PETI) conducted by community groups in private forest area is rife in Muara Enim district which causing environmental degradation. The purpose of this study is to find out the institutional forms associated with illegal coal mining activities. The study used a qualitative approach that illustrated how unlicensed mining (PETI) still able to operate despite violating the law. The result of this study indicates the existing formal institutions did not run so well which lead to the creation of non-formal institutions who permits illegal activities. There are few technical requirements that PETI could not provide if they were legalized to be public mining. Good coordination and teamwork between government and law enforcers along with mining corporation are desirable to control the development of PETI and the impact it brings, especially in private forest.Keywords: private forest, institution, environmental damage, unlicensed mining, coal mining
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Dissertations / Theses on the topic "Forest mining"

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com, ronaldchapman1@bigpond, and Ron Chapman. "Fighting for the Forests: A History of The Western Australian Forest Protest Movement 1895-2001." Murdoch University, 2008. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20090121.162055.

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As the first comprehensive study of Western Australian forest protest the thesis analyses the protest movement's organisation, campaigns and strategies. Its central argument is that the contemporary Western Australian forest protest movement established a network of urban and south-west activist groups which encouraged broad public support, and that a diversity of protest strategies focused public attention on forest issues and pressured the state government to change its forest policies. The forest protest movement was characterised by its ability to continually adapt its organisation and strategies to changing social and political conditions. This flexible approach to protest not only led to victories in the Shannon River Basin, Lane-Poole Reserve and old growth forest campaigns, but also transformed forest protest into an influential social movement which contributed to the downfall of the Court Liberal Government in 2001.
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Mehlhope, Stephanie H. "MODELING BEDROCK MINING HOTSPOTS WITHIN THE OUACHITA NATIONAL FOREST, ARKANSAS." UKnowledge, 2013. http://uknowledge.uky.edu/geography_etds/3.

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This study, concentrating on the Ouachita Mountain Range in western-central Arkansas, extends prior work on treethrows and their influence on soil development in the region by supplying a method of determining hotspots of bedrock mining by treethrow. Binary logistic regression analysis was employed to determine the abiotic and biotic factors that are highly correlated with the rate of bedrock detachment found in uprooted rootwads from three study sites within the Ouachita National Forest. The produced logistic regression models suggest topographic factors, tree specific characteristics, as well as the local geology and soil characteristics all have a significant effect upon the probability of bedrock mining activity by treethrow throughout the Ouachita National Forest, Arkansas. This methodology has demonstrated that the forcing mechanism that causes the uprooting event intrinsically changes the relationship between the abiotic and biotic factors that control bedrock mining. Finally, the computed probabilities of bedrock being mined were geographically assigned to the appropriate environmental setting using a geographic information system to identify areas of highest odds of mining, hotspots, and lowest odds of mining highlighted.
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Kalamandeen, Michelle. "Forest loss dynamics and impacts from gold mining in Amazonia." Thesis, University of Leeds, 2019. http://etheses.whiterose.ac.uk/22904/.

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Amazonian rainforests are home to Earth's largest reservoir of biodiversity, providing crucial ecosystem services and storing approximately 17% of all global terrestrial carbon. Today, these forests are experiencing rapid, unprecedented changes due to climate impacts and anthropogenic disturbances. In recent decades, the region has experienced marked variability in deforestation, and after a long period of increase, the deforestation rates in countries like Brazil have sharply declined in recent years. However, little is known about the forest trends and the impact of different drivers in other Amazonian countries. The aim of this thesis, therefore, is to better understand and examine the current dynamics of forest loss across Amazonia and how intensive land uses such as gold mining influence forest loss, nutrient cycling and recovery patterns. Using remote sensing coupled with field observations, this research highlights new spatial patterns in Amazonian forest loss which point to a more complex pattern where new smaller-scale drivers of forest loss are becoming progressively more important (Chapter 2). The expansion of small-scale events were primarily driven by gold mining activities, particularly in northern Amazonia, with underestimation of forest loss occurring at sites driven by a mosaic of small-scale clearings (Chapter 3). Nutrient depletion was found to be the most important factor driving low biomass recovery in previously mined areas, with mercury contamination being of secondary importance (Chapters 4 and 5). Overall, small-scale gold mining can severely impair the forest's ability to recover at abandoned mining pits and tailing ponds while recovery rates of woody biomass on the overburden zone were comparable to other secondary forests across the Neotropics following abandonment of pastures and agriculture (Chapter 5). Gold mining across the Amazon could potentially result in ~90,000 t C yr-1 less carbon being accumulated in relation to what would have accumulated under agriculture/pasture. Important conclusions from this work suggests that (1) national deforestation statistics need to include these small-scale events which are currently excluded from important official estimates such as Brazil's PRODES, and (2) active rehabilitation and restoration are required in order to assist the disrupted successional processes at gold mining sites. The results presented here highlight the vulnerability of Amazonian forests to newer, more intense types of land uses such as small-scale gold mining.
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MacKinnon, Richard Kyle. "Seeing the forest for the trees: tree-based uncertain frequent pattern mining." Springer International Publishing, 2014. http://hdl.handle.net/1993/31059.

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Many frequent pattern mining algorithms operate on precise data, where each data point is an exact accounting of a phenomena (e.g., I have exactly two sisters). Alas, reasoning this way is a simplification for many real world observations. Measurements, predictions, environmental factors, human error, &ct. all introduce a degree of uncertainty into the mix. Tree-based frequent pattern mining algorithms such as FP-growth are particularly efficient due to their compact in-memory representations of the input database, but their uncertain extensions can require many more tree nodes. I propose new algorithms with tightened upper bounds to expected support, Tube-S and Tube-P, which mine frequent patterns from uncertain data. Extensive experimentation and analysis on datasets with different probability distributions are undertaken that show the tightness of my bounds in different situations.
February 2016
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Dement, Wesley T. "AN INVESTIGATION OF TREE GROWTH AND WOODY VEGETATION COLONIZATION ON A 19 YEAR-OLD FORESTRY RECLAMATION SITE." UKnowledge, 2017. https://uknowledge.uky.edu/forestry_etds/37.

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Survival, growth and biomass accumulation of 19 year-old trees planted on an Appalachian surface mine site were evaluated to determine the effect of spoil grading and surface amendment treatments. Three spoil grading treatments (loose-dump, strike-off and graded control) were established to create a range of operationally feasible spoil compaction capable of impacting tree establishment and growth. Likewise, three surface amendment treatments (straw/manure mulch, hardwood bark mulch and control) were applied to determine their effects on tree development. Trees grown under low-compaction grading treatment levels (strike-off and loose-dump) consistently outperformed trees planted in a high-compaction control treatment. Loose-dump preparation resulted in higher survival for five of six tree species and greater biomass in three species for which this metric was estimated. Strike-off preparation resulted in higher diameter at breast height (DBH) values. The addition of straw/manure surface amendment increased biomass for hardwood species for which this value was estimated. Volunteer woody vegetation growing in the same experimental plots was measured and characterized by species. Loose-dump plots exhibited highest overall volunteer stem and native stem density and compacted control plots had lowest volunteer stem density and lowest proportion of native stems. Strike-off plots exhibited intermediate values for both of these measures.
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Luud, Aarne. "Evaluation of moose habitats and forest reclamation in Estonian oil shale mining areas /." Online version, 2006. http://dspace.utlib.ee/dspace/bitstream/10062/684/5/luudaarne.pdf.

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Oliveira, Leandro de. "Soil recuperation in forest settlements in mining areas in the Tremembé municipality - SP." Universidade de Taubaté, 2006. http://www.bdtd.unitau.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=77.

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The recuperation of degraded areas due to mining activity namely sand mining is carried out by the forest recomposition with native species. In the present work the availability of nutrients along with amount of living matter cover accumulated in a native ciliary wood and in five fragments of forest recomposition of areas previously used for sand mining in the municipality of Tremembe SP. Such areas are currently at different phases of vegetative development process, ranging from 1, 5 and 11 years. The content of nutrient, organic matter, soil acidity and total production of living matter cover and coarse living matter leaves ,twigs and roots were analyzed .The living matter cover was sampled in 1 m2 fragments the 0-20 and 20-40 cm layers at five different random points in the beds and between the beds in all areas. The soil samples were analyzed in terms of the attributes pH, organic matter, P, K, Ca , Mg , H , Al , base aggregation , cation exchange capacity and base saturation percentage. The comparison of the living matter cover production and the chemical attributes between the areas were analyzed by means of variance analysis complemented by the Tukey test. A smaller production of total living matter cover was observed in the fragments over 6, 5 reforestation years. As from that period however, the relation between the content of the organic matter and the amount of living matter cover in the superficial layer of the soil tends to differ. There is an increase in the nature of organic matter and the reduction of the production of living matter cover possibly due to the cumulative effect of the organic matter in the soil through the organic composts that are more resistant to decomposition and respond for the humus formation. By means of the analyses of the chemical attributes the soils of the forest fragments were classified as dystrophic and moderately fertile. The nature and level of nutrients presented average values for Ca and Mg, high for P and low for K. The higher values for Ca, Mg and P may be a result of the residual effect of the fertilization carried out during the planting process.
A recuperação de áreas degradadas devido à exploração mineraria, notadamente pela extração de areia, é realizada pela recomposição florestal com espécies nativas. No presente trabalho analisou-se a disponibilidade de nutrientes e a quantidade de serapilheira acumulada em um fragmento de mata ciliar nativa e em cinco fragmentos de recomposição florestal de áreas anteriormente utilizadas para exploração de areia no município de Tremembé, SP. Estas áreas apresentam-se em processo de desenvolvimento vegetativo com períodos diferentes, variando de 1,5 a 11 anos. Foi analisado o teor de nutrientes, matéria orgânica, acidez do solo e a produção da serapilheira total e fracionada em folhas, ramos e raízes. As serapilheira foi amostrada em parcelas de 1m2, nas camadas 0-20 e 20-40 cm em cinco pontos escolhidos aleatoriamente nas leiras e entre leiras, em todas as áreas. Nas amostras de solo analisaram-se os atributos pH, matéria orgânica, Fósforo, Potássio, Cálcio, Magnésio, Hidrogênio, Alumínio, soma de bases, capacidade de troca catiônica e porcentagem de saturação de base. A comparação da produção de serapilheira e dos atributos químicos entre as áreas foi analisada por meio de análise de variância complementada pelo teste de Tukey. Observou-se menor produção de serapilheira total nos fragmentos a partir de 6,5 anos de reflorestamento. Entretanto, a partir deste período, a relação entre o teor de matéria orgânica e a quantidade de serapilheira da camada superficial do solo tende a diferir, com aumento no teor de matéria orgânica e redução da produção de serapilheira, decorrente, possivelmente, do efeito acumulativo da matéria orgânica no solo através de compostos orgânicos mais resistentes à decomposição responsáveis pela formação do húmus. Por meio das análises dos atributos químicos, os solos dos fragmentos florestais foram classificados como distróficos e de fertilidade moderada. Os teores dos nutrientes apresentaram valores médios para cálcio e magnésio, alto para o fósforo e baixo para o potássio. Os valores mais elevados de cálcio, magnésio e fósforo podem ser decorrentes do efeito residual da adubação realizada na época do plantio.
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Adriansson, Nils, and Ingrid Mattsson. "Forecasting GDP Growth, or How Can Random Forests Improve Predictions in Economics?" Thesis, Uppsala universitet, Statistiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243028.

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GDP is used to measure the economic state of a country and accurate forecasts of it is therefore important. Using the Economic Tendency Survey we investigate forecasting quarterly GDP growth using the data mining technique Random Forest. Comparisons are made with a benchmark AR(1) and an ad hoc linear model built on the most important variables suggested by the Random Forest. Evaluation by forecasting shows that the Random Forest makes the most accurate forecast supporting the theory that there are benefits to using Random Forests on economic time series.
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Johansson, Filip, and Jesper Wikström. "Result Prediction by Mining Replays in Dota 2." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2288.

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Context: Real-time games like Dota 2 lack the extensive mathematical modeling of turn-based games that can be used to make objective statements about how to best play them. Understanding a real-time computer game through the same kind of modeling as a turn-based game is practically impossible. Objectives: In this thesis an attempt was made to create a model using machine learning that can predict the winning team of a Dota 2 game given partial data collected as the game progressed. A couple of different classifiers were tested, out of these Random Forest was chosen to be studied more in depth. Methods: A method was devised for retrieving Dota 2 replays and parsing them into a format that can be used to train classifier models. An experiment was conducted comparing the accuracy of several machine learning algorithms with the Random Forest algorithm on predicting the outcome of Dota 2 games. A further experiment comparing the average accuracy of 25 Random Forest models using different settings for the number of trees and attributes was conducted. Results: Random Forest had the highest accuracy of the different algorithms with the best parameter setting having an average of 88.83% accuracy, with a 82.23% accuracy at the five minute point. Conclusions: Given the results, it was concluded that partial game-state data can be used to accurately predict the results of an ongoing game of Dota 2 in real-time with the application of machine learning techniques.
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Linusson, Henrik, Robin Rudenwall, and Andreas Olausson. "Random forest och glesa datarespresentationer." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16672.

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In silico experimentation is the process of using computational and statistical models to predict medicinal properties in chemicals; as a means of reducing lab work and increasing success rate this process has become an important part of modern drug development. There are various ways of representing molecules - the problem that motivated this paper derives from collecting substructures of the chemical into what is known as fractional representations. Assembling large sets of molecules represented in this way will result in sparse data, where a large portion of the set is null values. This consumes an excessive amount of computer memory which inhibits the size of data sets that can be used when constructing predictive models.In this study, we suggest a set of criteria for evaluation of random forest implementations to be used for in silico predictive modeling on sparse data sets, with regard to computer memory usage, model construction time and predictive accuracy.A novel random forest system was implemented to meet the suggested criteria, and experiments were made to compare our implementation to existing machine learning algorithms to establish our implementation‟s correctness. Experimental results show that our random forest implementation can create accurate prediction models on sparse datasets, with lower memory usage overhead than implementations using a common matrix representation, and in less time than existing random forest implementations evaluated against. We highlight design choices made to accommodate for sparse data structures and data sets in the random forest ensemble technique, and therein present potential improvements to feature selection in sparse data sets.
Program: Systemarkitekturutbildningen
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Books on the topic "Forest mining"

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Cyprian, Ekwensi. Samankwe in the strange forest. [Ikeja]: Longman Nigeria, 1985.

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W, Vernon Robert, ed. Mines of the Gwydyr Forest. Warrington: Gwydyr Mines Publications, 1997.

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W, Vernon Robert, ed. Mines of the Gwydyr Forest. Cuddington (7 St Johns Way, Cuddington, Cheshire CW8 2LX): Gwydyr Mines, 1990.

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Bennett, John. Mines of the Gwydyr Forest. Cuddington: Gwydyr Mines Publications., 1993.

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Bennett, John. Mines of the Gwydyr Forest. Cuddington: Gwydyr Mines Publications, 1992.

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Buchan, Jon. Code of the forest: A novel. Charleston, SC: Joggling Board Press, 2012.

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Governance of minerals and natural resources: Mining, oil, forest and land. Nairobi, Kenya: Paulines Publications Africa, 2014.

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Mystic Ranger District (S.D.). Section 30 limestone mining project: Draft environmental impact statement. Rapid City, S.D: USDA Forest Service, Black Hills National Forest, Mystic Ranger District, 2012.

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Canada. Committee on the Competitiveness of the Resource Industries. Competitiveness in the Canadian mining and forestry industries. Ottawa: National Advisory Board on Science and Technology, 1993.

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Raumolin, Jussi. Restructuring and internationalization of the forest, mining and related engineering industries in Finland. Helsinki, Finland: Elinkeinoelämän Tutkimuslaitos, 1988.

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Book chapters on the topic "Forest mining"

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Bartle, J., and G. C. Slessar. "Mining and rehabilitation." In The Jarrah Forest, 357–77. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-3111-4_19.

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Žižka, Jan, František Dařena, and Arnošt Svoboda. "Random Forest." In Text Mining with Machine Learning, 193–200. First. | Boca Raton : CRC Press, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429469275-8.

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Ibarra, José Manuel Nicolau, and Mariano Moreno de las Heras. "Opencast Mining Reclamation." In Forest Restoration in Landscapes, 370–78. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/0-387-29112-1_53.

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Browne, James, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, and Randal Burns. "Forest Packing: Fast Parallel, Decision Forests." In Proceedings of the 2019 SIAM International Conference on Data Mining, 46–54. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2019. http://dx.doi.org/10.1137/1.9781611975673.6.

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Adnan, Md Nasim, and Md Zahidul Islam. "Forest CERN: A New Decision Forest Building Technique." In Advances in Knowledge Discovery and Data Mining, 304–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31753-3_25.

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Gondane, Rajhans, and V. Susheela Devi. "Classification Using Rough Random Forest." In Mining Intelligence and Knowledge Exploration, 70–80. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26832-3_8.

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Shi, Mohan, Zhihai Wang, Jidong Yuan, and Haiyang Liu. "Random Pairwise Shapelets Forest." In Advances in Knowledge Discovery and Data Mining, 68–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93034-3_6.

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Bayazit, Alper, Petek Askar, and Erdal Cosgun. "Predicting Learner Answers Correctness Through Eye Movements with Random Forest." In Educational Data Mining, 203–26. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02738-8_8.

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Adnan, Md Nasim, and Md Zahidul Islam. "Effects of Dynamic Subspacing in Random Forest." In Advanced Data Mining and Applications, 303–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69179-4_21.

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Borges, Fábbio, Ivan Silva, Ricardo Fernandes, and Lucas Moraes. "Classification of Power Quality Disturbances Using Forest Algorithm." In Data Mining and Big Data, 247–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40973-3_24.

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Conference papers on the topic "Forest mining"

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Liu, Fei Tony, Kai Ming Ting, and Zhi-Hua Zhou. "Isolation Forest." In 2008 Eighth IEEE International Conference on Data Mining (ICDM). IEEE, 2008. http://dx.doi.org/10.1109/icdm.2008.17.

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Bicego, Manuele. "Dissimilarity Random Forest Clustering." In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 2020. http://dx.doi.org/10.1109/icdm50108.2020.00105.

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Zaki, Mohammed J. "Efficiently mining frequent trees in a forest." In the eighth ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/775047.775058.

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JinMing Li and RongQi Liu. "Applying data mining to forest maturity forecasting." In 2008 3rd International Conference on Intelligent System and Knowledge Engineering (ISKE 2008). IEEE, 2008. http://dx.doi.org/10.1109/iske.2008.4730954.

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Vens, Celine, and Fabrizio Costa. "Random Forest Based Feature Induction." In 2011 IEEE 11th International Conference on Data Mining (ICDM). IEEE, 2011. http://dx.doi.org/10.1109/icdm.2011.121.

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Zhu, Jie, Ying Shan, J. C. Mao, Dong Yu, Holakou Rahmanian, and Yi Zhang. "Deep Embedding Forest." In KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3097983.3098059.

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Pang, Ming, Kai-Ming Ting, Peng Zhao, and Zhi-Hua Zhou. "Improving Deep Forest by Confidence Screening." In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018. http://dx.doi.org/10.1109/icdm.2018.00158.

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Huang, Yanping, Feilong Ling, Bo Wu, Lina Bai, and Xin Tian. "Forest/non-forest mapping using ENVISAT ASAR data in Northeast China." In 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM). IEEE, 2011. http://dx.doi.org/10.1109/icsdm.2011.5969069.

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Jin, Yujia, Qi Bao, and Zhongzhi Zhang. "Forest Distance Closeness Centrality in Disconnected Graphs." In 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 2019. http://dx.doi.org/10.1109/icdm.2019.00044.

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Rana, Santu, Sunil Kumar Gupta, and Svetha Venkatesh. "Differentially Private Random Forest with High Utility." In 2015 IEEE International Conference on Data Mining (ICDM). IEEE, 2015. http://dx.doi.org/10.1109/icdm.2015.76.

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Reports on the topic "Forest mining"

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Kindt, Roeland, Ian K Dawson, Jens-Peter B Lillesø, Alice Muchugi, Fabio Pedercini, and James M Roshetko. The one hundred tree species prioritized for planting in the tropics and subtropics as indicated by database mining. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21001.pdf.

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A systematic approach to tree planting and management globally is hindered by the limited synthesis of information sources on tree uses and species priorities. To help address this, the authors ‘mined’ information from 23 online global and regional databases to assemble a list of the most frequent tree species deemed useful for planting according to database mentions, with a focus on tropical regions. Using a simple vote count approach for ranking species, we obtained a shortlist of 100 trees mentioned in at least 10 of our data sources (the ‘top-100’ species). A longer list of 830 trees that were mentioned at least five times was also compiled. Our ‘top-100’ list indicated that the family Fabaceae (syn. Leguminosae) was most common. The information associated with our mined data sources indicated that the ‘top-100’ list consisted of a complementary group of species of differing uses. These included the following: for wood (mostly for timber) and fuel production, human nutrition, animal fodder supply, and environmental service provision (varied services). Of these uses, wood was most frequently specified, with fuel and food use also highly important. Many of the ‘top-100’ species were assigned multiple uses. The majority of the ‘top-100’ species had weediness characteristics according to ‘attribute’ invasiveness databases that were also reviewed, thereby demonstrating potential environmental concerns associated with tree planting that need to be balanced against environmental and livelihood benefits. Less than half of the ‘top-100’ species were included in the OECD Scheme for the Certification of Forest Reproductive Material, thus supporting a view that lack of germplasm access is a common concern for trees. A comparison of the ‘top-100’ species with regionally-defined tree inventories indicated their diverse continental origins, as would be anticipated from a global analysis. However, compared to baseline expectations, some geographic regions were better represented than others. Our analysis assists in priority-setting for research and serves as a guide to practical tree planting initiatives. We stress that this ‘top-100’ list does not necessarily represent tree priorities for the future, but provides a starting point for also addressing representation gaps. Indeed, our primary concern going forward is with the latter.
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Peterson, D. J., Tom LaTourrette, and James T. Bartis. New Forces at Work in Mining: Industry View of Critical Technologies. Office of Scientific and Technical Information (OSTI), April 2007. http://dx.doi.org/10.2172/1218655.

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Borenstein, Severin, and Joseph Farrell. Do Investors Forecast Fat Firms? Evidence from the Gold Mining Industry. Cambridge, MA: National Bureau of Economic Research, April 1999. http://dx.doi.org/10.3386/w7075.

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W., Huang, and Wilkes A. Analysis of approvals for Chinese companies to invest in Africa’s mining, agriculture and forestry sectors. Center for International Forestry Research (CIFOR), 2011. http://dx.doi.org/10.17528/cifor/003720.

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K.N., Funoh. The impacts of artisanal gold mining on local livelihoods and the environment in the forested areas of Cameroon. Center for International Forestry Research (CIFOR), 2014. http://dx.doi.org/10.17528/cifor/005089.

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Chen, G., and Z. Chen. Extreme river flow prediction for river water supply to oil sands mining sites, Athabasca River near Fort McMurray, Alberta,. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/299742.

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Burns, L. E. CD-ROM containing gridded files in Geosoft format and section lines of 2000 geophysical survey for the Salcha River-Pogo mining area, central Alaska. Alaska Division of Geological & Geophysical Surveys, February 2000. http://dx.doi.org/10.14509/2764.

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Barquet, Karina, Elin Leander, Jonathan Green, Heidi Tuhkanen, Vincent Omondi Odongo, Michael Boyland, Elizabeth Katja Fiertz, Maria Escobar, Mónica Trujillo, and Philip Osano. Spotlight on social equity, finance and scale: Promises and pitfalls of nature-based solutions. Stockholm Environment Institute, June 2021. http://dx.doi.org/10.51414/sei2021.011.

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Human activity has modified and deteriorated natural ecosystems in ways that reduce resilience and exacerbate environmental and climate problems. Physical measures to protect, manage and restore these ecosystems that also address societal challenges in sustainable ways and bring biodiversity benefits are sometimes referred to as “nature-based solutions” (NBS). For example, reducing deforestation and restoring forests is a major opportunity for climate mitigation, while protecting or restoring coastal habitats can mitigate damage to coastal areas from natural hazard events, in addition to potentially providing co-benefits related to livelihood, recreation, and biodiversity. There is now an impetus to shift towards greater deployment of nature-based solutions. Not only do they offer an alternative to conventional fossil fuel-based or hard infrastructure solutions but, if implemented correctly, they also hold great promise for achieving multiple goals, benefits and synergies. These include climate mitigation and resilience; nature and biodiversity protection; and economic and social gains. 2020 saw an explosion in publications about NBS, which have contributed to filling many of the knowledge gaps that existed around their effectiveness and factors for their success. These publications have also highlighted the knowledge gaps that remain and have revealed a lack of critical reflection on the social and economic sustainability aspects of NBS. Building on these gaps, we decided to launch this mini-series of four briefs to provoke a more nuanced discussion that highlights not only the potential benefits, but also the potential risks and trade-offs of NBS. The purpose is not to downplay the importance of NBS for biodiversity, ecosystems, and coastal mitigation and adaptation, but to ensure that we establish a dialogue about ways to overcome these challenges while leaving no one behind.
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Geophysical Series, NTS 21-O/9 and part of 21-O/10, Tetagouche Lakes and part of Upsalquitch Forks, MEGATEM II Survey, Bathurst Mining Camp, New Brunswick. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2008. http://dx.doi.org/10.4095/225881.

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