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741“…In Experiment 2, we reproduce those random forests with name length as a feature and compare the performance of the random forests against humans in a classification experiment whereby Japanese participants classified the names elicited in Experiment 1 into pre-and post-evolution categories. …”
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742“…We first tested various models according to the sensibility of random forest parameters and their effects on model accuracies. …”
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743por Bandara, Meelan, Jayasundara, Roshinie, Ariyarathne, Isuru, Meedeniya, Dulani, Perera, Charith“…The study of environmental sound classification (ESC) has become popular over the years due to the intricate nature of environmental sounds and the evolution of deep learning (DL) techniques. Forest ESC is one use case of ESC, which has been widely experimented with recently to identify illegal activities inside a forest. …”
Publicado 2023
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744
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745por Granados García, María E., Chirino Miranda, Esteban, Gandía Navalón, Cristina, Vallejo Calzada, Victoriano R., Vilagrosa Carmona, Alberto“…Efecto de la luz y la humedad del suelo sobre variables fisiológicas en seis especies forestales mediterráneas plantadas bajo dosel de pinar…”
Publicado 2019
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746“…Climate change is having dramatic effects on forest health and growth – tree genomics provides tools for understanding and mitigating these effects.…”
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747por Kanashiro Uehara, Thiago, Chazarin, Florie, Nakagawa, Louise, Favareto, Ariane, Tobias, Tamara, Favareto, Arilson, Minani, Rigobert, Nugroho, Bramasto, Setiajiati, Fitta, Iriyani, Silfi, Buchori, Damayanti, Chiavaroli, Chiara“…Background: International and market forces are key drivers of deforestation and forest degradation, with transnational and market-based solutions in land-use and forest governance often missing economic, distributive, and environmental targets. …”
Publicado 2023
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748por Luo, Junwei, Feng, Yading, Wu, Xuyang, Li, Ruimin, Shi, Jiawei, Chang, Wenjing, Wang, Junfeng“…Second, ForestSubtype uses a random forest as the base module and ten parallel random forests to compute each feature weight and rank them separately. …”
Publicado 2023
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749“…On average, borders represented 53.6% of the forests from 1985 to 2020, and younger forests covered 52.3% of the area in 2017, revealing a vegetation rejuvenation process 2.5 times higher than in total Atlantic Forest. …”
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750por Kwiatkowski, Adam“…Although the number of species was rather constant, the number of individuals belonging to the group of forest species significantly increased with the ageing of the forest. …”
Publicado 2011
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751por Homeier, Jürgen, Hertel, Dietrich, Camenzind, Tessa, Cumbicus, Nixon L., Maraun, Mark, Martinson, Guntars O., Poma, L. Nohemy, Rillig, Matthias C., Sandmann, Dorothee, Scheu, Stefan, Veldkamp, Edzo, Wilcke, Wolfgang, Wullaert, Hans, Leuschner, Christoph“…Highly variable and partly contrasting responses of different tree species suggest marked changes in species composition and diversity of these forests by nutrient inputs in the long term. The unexpectedly fast response of the ecosystem to moderate nutrient additions suggests high vulnerability of tropical montane forests to the expected increase in nutrient inputs.…”
Publicado 2012
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752por Lauterbach, Ralf, Wells, Konstans, O'Hara, Robert B., Kalko, Elisabeth K. V., Renner, Swen C.“…Given the ever-increasing human impact through land use and climate change on the environment, we crucially need to achieve a better understanding of those factors that influence the questing activity of ixodid ticks, a major disease-transmitting vector in temperate forests. We investigated variation in the relative questing nymph densities of Ixodes ricinus in differently managed forest types for three years (2008–2010) in SW Germany by drag sampling. …”
Publicado 2013
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753por Taki, Hisatomo, Okochi, Isamu, Okabe, Kimiko, Inoue, Takenari, Goto, Hideaki, Matsumura, Takeshi, Makino, Shun'ichi“…In many temperate terrestrial forest ecosystems, both natural human disturbances drive the reestablishment of forests. …”
Publicado 2013
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754“…Defining “forest land” is a complex issue and has been discussed for decades. …”
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755por Dong, Jinwei, Xiao, Xiangming, Sheldon, Sage, Biradar, Chandrashekhar, Zhang, Geli, Dinh Duong, Nguyen, Hazarika, Manzul, Wikantika, Ketut, Takeuhci, Wataru, Moore, Berrien“…Southeast Asia experienced higher rates of deforestation than other continents in the 1990s and still was a hotspot of forest change in the 2000s. Biodiversity conservation planning and accurate estimation of forest carbon fluxes and pools need more accurate information about forest area, spatial distribution and fragmentation. …”
Publicado 2014
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756por Liu, Xingzhao, Meng, Wei, Liang, Guohua, Li, Kun, Xu, Weiqiang, Huang, Liujing, Yan, Junhua“…This paper aims to establish evidence for available phosphorous (AP) binding with total nitrogen (N) in subtropical forest soils. Soil organic carbon (SOC), total N, total phosphorous (P) and AP concentration were measured for three contrasting forest types in southern China: Masson pine forest (MPF), coniferous and broadleaved mixed forest (CBMF) and monsoon evergreen broadleaved forest (MEBF). …”
Publicado 2014
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757“…The recognition of host species for tick larvae and the reservoirs of Borrelia, Rickettsia and Anaplasma species were simultaneously carried out by analysis of the blood meals of 880 questing nymphal I. ricinus ticks collected in forest parks of Szczecin city and rural forests in northwestern Poland that are endemic areas for Lyme borreliosis. …”
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758por Pec, Gregory J., Karst, Justine, Sywenky, Alexandra N., Cigan, Paul W., Erbilgin, Nadir, Simard, Suzanne W., Cahill, James F.“…The current unprecedented outbreak of mountain pine beetle (Dendroctonus ponderosae) in lodgepole pine (Pinus contorta) forests of western Canada has resulted in a landscape consisting of a mosaic of forest stands at different stages of mortality. …”
Publicado 2015
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759por Huang, Wenli, Swatantran, Anu, Johnson, Kristofer, Duncanson, Laura, Tang, Hao, O’Neil Dunne, Jarlath, Hurtt, George, Dubayah, Ralph“…At the State level, these maps underestimate biomass by 30–80 Tg in forested and 40–50 Tg in non-forested areas. CONCLUSIONS: Local discrepancies in continental scale biomass maps are caused by factors including data inputs, modeling approaches, forest/non-forest definitions and time lags. …”
Publicado 2015
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760“…Exploring the spatial variation of fire characteristics and understanding the environmental controls are indispensable to fire prediction and sustainable forest landscape management. To illustrate the spatial variation of forest fire characteristics over China and to quantitatively determine the relative contribution of each of the environmental controls to this variation, forest fire characteristic data (mean number of forest fires and mean burned forest area) and environmental data (climate, land use, vegetation type and topography) at provincial level were derived. …”
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