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Effects of the Trophobiont Herbivore Calloconophora pugionata (Hemiptera) on Ant Fauna Associated with Myrcia obovata (Myrtaceae) in a Montane Tropical Forest
Published 2012-01-01“…In this study, the objective was to evaluate the effect of availability of honeydew-producing colonies of Calloconophora pugionata (Membracidae) on the structure of ant assemblages associated with the host plant Myrcia obovata (Myrtaceae) in an Atlantic forest of Minas Gerais (Brazil). Our experiment consisted in a gradual exclusion of hemipteran colonies out of the host plant crown and further record of the ant assemblage response (species richness, composition, and occurrence) to the presence and density of treehopper colonies. …”
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823
Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests
Published 2025-03-01“…Landscape changes caused by climate change require new methods for forest research, analysis, mapping, and monitoring. …”
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824
Human Settlements Interactions and Deforestation in Gambari Forest Reserve located in Oluyole Local Government Area (LGA) of Oyo State, Nigeria
Published 2021-11-01“… This study was designed to examine changes in land cover types and the interaction of human settlements with the forest and impact of such interaction on the reserve. …”
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825
Using airborne LiDAR and enhanced-geolocated GEDI metrics to map structural traits over a Mediterranean forestZenodo
Published 2025-06-01Subjects: Get full text
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826
How Family Forest Owners Consider Timber Harvesting, Land Sale, and Conservation Easement Decisions: Insights from Massachusetts, USA
Published 2011-01-01“…Ten million family forest owners own 35 percent of US forestland. Although one owner's action may be insignificant, many owners' decisions across the landscape and over time can together affect the forest ecosystem. …”
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827
Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting
Published 2025-03-01Subjects: Get full text
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828
Identifikasi Dini Curah Hujan Berpotensi Banjir Menggunakan Algoritma Long Short-Term Memory (Lstm) Dan Isolation Forest
Published 2024-07-01“…Studi ini memproses data curah hujan BMKG untuk menghasilkan forecasting menggunakan Long Short-Term Memory (LSTM) berdasarkan pola data series dan hubungan jangka panjang. Algoritma Isolation Forest kemudian digunakan untuk mengidentifikasi secara otomatis curah hujan dengan potensi banjir. …”
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829
Half of land use carbon emissions in Southeast Asia can be mitigated through peat swamp forest and mangrove conservation and restoration
Published 2025-01-01“…Abstract Southeast Asia (SEA) contributes approximately one-third of global land-use change carbon emissions, a substantial yet highly uncertain part of which is from anthropogenically-modified peat swamp forests (PSFs) and mangroves. Here, we report that between 2001–2022 land-use change impacting PSFs and mangroves in SEA generate approximately 691.8±97.2 teragrams of CO2 equivalent emissions annually (TgCO2eyr−1) or 48% of region’s land-use change emissions, and carbon removal through secondary regrowth of −16.3 ± 2.0 TgCO2eyr−1. …”
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830
Human Settlements Interactions and Deforestation in Gambari Forest Reserve located in Oluyole Local Government Area (LGA) of Oyo State, Nigeria
Published 2021-11-01“… This study was designed to examine changes in land cover types and the interaction of human settlements with the forest and impact of such interaction on the reserve. …”
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831
Machine learning using random forest to model heavy metals removal efficiency using a zeolite-embedded sheet in water
Published 2024-01-01Subjects: Get full text
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832
Citric Acid Promotes the Mobilization of Phosphorus under the Lower Concentration of Low Molecular Weight Organic Acids in Acidic Forest Soil
Published 2022-01-01“…The results indicated that LMWOAs can significantly promote P availability in acidic forests soils, and the effect of microorganisms on soil available P was more inclined to use LMWOAs than glucose.…”
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833
OBSERVED AND PROJECTED CLIMATE CHANGE AND ITS IMPACT ON ECOSYSTEMS’ PRODUCTIVITY IN FOREST-STEPPE AND STEPPE ZONES OF RUSSIA AND NEIGHBORING (FSU) COUNTRIES
Published 2015-12-01“…The study confirms continuing aridization of the forest-steppe and steppe zone of the FSU region during the 2000s.…”
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Experimental study on in-situ simulation of rainfall-induced soil erosion in forest lands converted to cash crop areas in Dabie Mountains.
Published 2025-01-01“…Therefore, this study was designed to reveal the evolution characteristics of rainfall-induced slope erosion and the key influencing factors in the forest land converted to cash crop area in Dabie Mountains. …”
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Nutrient cycling characteristics along a chronosequence of forest primary succession in the Hailuogou Glacier retreat area, eastern Tibetan Plateau
Published 2025-01-01“…Methods Six sites representing three forest stages: the pioneer plant stage (S1), the broad-leaved forest stage (S2–S4), and the coniferous forest stage (S5–S6). …”
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837
Tree Species Diversity and Composition of Miombo Woodlands in South-Central Angola: A Chronosequence of Forest Recovery after Shifting Cultivation
Published 2017-01-01“…Shannon Diversity and Evenness were highest in mature forests and young fallows, while the mature forest stands showed the highest species richness. …”
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838
Elevation gradient effects on grassland species diversity and phylogenetic in the two-river source forest region of the Altai Mountains, Xinjiang, China
Published 2025-02-01“…This study examines grasslands at 1300–2500 m elevation in the Two-River Source Forest Area, Altai Mountains, Xinjiang. Six elevation gradients (200 m intervals) were surveyed with 90 grassland quadrats, documenting community characteristics and environmental data. …”
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839
Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks
Published 2020-01-01“…The DT was followed closely by random forest algorithm with a predictive accuracy of 98.5% and a P value of 0.00 and finally the neural network (86.6% accuracy) with a P value 0.66. …”
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840
Regional disparities and dynamic adaptation in the forest health-based industry and ecological environment: A case study of Fujian Province, China
Published 2025-01-01Subjects: “…Forest health-based industry…”
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