Authors: Min Liu, Xiaoyong Bai, Qiu Tan, Guangjie Luo, Cuiwei Zhao, Luhua Wu, Fei Chen, Chaojun Li, Yujie Yang, Chen Ran, Xuling Luo, Sirui Zhang
Subject Terms: Evolutionary Biology, Ecology, Invasive Species Ecology, Landscape Ecology, Conservation and Biodiversity, Behavioural Ecology, Community Ecology (excl. Invasive Species Ecology), Ecological Physiology, Freshwater Ecology, Marine and Estuarine Ecology (incl. Marine Ichthyology), Population Ecology, Terrestrial Ecology, climate change, NEP, human activity, CO2 concentration, boosted regression tree, envir, geo
Availability: https://doi.org/10.3389/fevo.2022.1101135.s001
Superior Title: Environmental Research Letters, Vol 18, Iss 2, p 024008 (2023)
Subject Terms: statistical crop models, machine learning, boosted regression trees, crop yield, climate change, India, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999, envir, stat
Relation: https://doi.org/10.1088/1748-9326/acb164
Availability: https://doi.org/10.1088/1748-9326/acb164
Authors: Dan Wanyama, Michael C Wimberly, Foster Mensah
Superior Title: Environmental Research Letters, Vol 18, Iss 6, p 064022 (2023)
Subject Terms: Upper Guinean Forest region, boosted regression trees, VIIRS, Landsat, wildfire, land use and land cover change, envir, geo
Superior Title: Environmental Research Letters, Vol 18, Iss 2, p 024008 (2023)
Subject Terms: statistical crop models, machine learning, boosted regression trees, crop yield, climate change, India, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999, envir, stat
Relation: https://doi.org/10.1088/1748-9326/acb164
Availability: https://doi.org/10.1088/1748-9326/acb164
Authors: Getachew Bayable, Ji Cai, Mulatie Mekonnen, Solomon Addisu Legesse, Kanako Ishikawa, Hiroki Imamura, Victor S. Kuwahara
Superior Title: Water ; Volume 15 ; Issue 5 ; Pages: 880
Subject Terms: classification and regression tree, Google Earth Engine, random forest, support vector machine, water hyacinth detection, envir, geo
Subject Geographic: agris
Relation: https://doi.org/10.3390/w15050880
Availability: https://doi.org/10.3390/w15050880
Subject Terms: Text, ddc:330, Boosted regression tree, Fishing behavior, Fishing drivers, Marine spatial planning, Resource management, envir, geo
Relation: https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00052734/dn066108.pdf; https://doi.org/10.1016/j.ocecoaman.2023.106543
Authors: Fabian Sittaro, Christopher Hutengs, Michael Vohland
Superior Title: International Journal of Applied Earth Observations and Geoinformation, Vol 116, Iss , Pp 103158- (2023)
Subject Terms: Boosted regression trees, Climate change, Invasive plant species, Remote sensing, Species distribution model, Support vector machines, envir, geo
Authors: Xiong Xiao, Qingzheng Wang, Qingyu Guan, Zepeng Zhang, Yong Yan, Jimin Mi, Enqi Yang
Superior Title: Ecological Indicators, Vol 151, Iss , Pp 110277- (2023)
Subject Terms: Bioclimatic variables, Boosted regression tree model, Nonlinear trend, Spatio-temporal variation of vegetation, Ecology, QH540-549.5, envir, manag
Availability: https://doi.org/10.1016/j.ecolind.2023.110277
Authors: Yaser Abdollahfard, Mehdi Sedighi, Mostafa Ghasemi
Superior Title: Sustainability, Vol 15, Iss 1312, p 1312 (2023)
Subject Terms: artificial intelligence, microbial fuel cell, machine learning, random forest regression, gradient boost regression tree, particle swarm optimization, envir, stat
Authors: Sean Murray Marr, Anthony Michael Swemmer
Superior Title: Journal of Limnology, Vol 82, Iss 1 (2023)
Subject Terms: flow duration curve, flood frequency, flood hydrograph, Pardé coefficient, peaks over threshold, regression tree, envir, geo
Authors: Agnieszka Strzelecka, Danuta Zawadzka
Superior Title: Energies, Vol 16, Iss 696, p 696 (2023)
Subject Terms: financial energy, savings, farm household, classification and regression tree analysis, Central Pomerania, Poland, Technology, envir, eco
Relation: https://doi.org/10.3390/en16020696
Availability: https://doi.org/10.3390/en16020696
Authors: Reza Salehi, Santhana Krishnan, Mohd Nasrullah, Sumate Chaiprapat
Superior Title: Sustainability, Vol 15, Iss 4245, p 4245 (2023)
Subject Terms: adaptive neuro-fuzzy inference system, boosted regression trees, cross-flow ultrafiltration, grid partitioning, (non)linear regression, xylitol, envir, manag
Authors: Adnane Beniaich, Wilfred Otten, Ho-Chul Shin, Hannah V Cooper, Jane Rickson, Aziz Soulaimani, Mohamed El Gharous
Superior Title: Frontiers in Environmental Science, Vol 11 (2023)
Subject Terms: soil hydraulic properties, wilting point, field capacity, multiple linear regression, regression tree, cubist algorithm, envir, geo
Authors: Debdatta Saha, Timothy M. Young, Jessica Thacker
Superior Title: Machine Learning with Applications, Vol 11, Iss , Pp 100453- (2023)
Subject Terms: Machine learning, Firm financial performance, Performance forecasting, Bayesian additive regression tree (BART), Cybernetics, Q300-390, Electronic computers. Computer science, QA75.5-76.95, eco, envir
Availability: https://doi.org/10.1016/j.mlwa.2023.100453
Authors: Andreetta A., Chelli S., Bonifacio E., Canullo R., Cecchini G., Carnicelli S.
Contributors: Andreetta A., Chelli S., Bonifacio E., Canullo R., Cecchini G., Carnicelli S.
Subject Terms: Soil organic carbon storage, Plant traits, Forest soils, Reference soil groups, Boosted regression trees, Mediterranean, Phosphorous, Subsoil, envir, geo
Relation: https://hdl.handle.net/2318/1893724
Availability: https://hdl.handle.net/2318/1893724
Authors: Liu, Yang, Trancoso, Ralph, Ma, Qin, Ciais, Philippe, Gouvêa, Lidiane, Yue, Chaofang, Assis, Jorge, Blanco, Juan
Contributors: Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Superior Title: ISSN: 0168-1923.
Subject Terms: Boosted regression trees, Carbon storage, Carbon storage change, Climate influences, Forest vegetation, Temperature threshold, [SDV.EE.BIO]Life Sciences [q-bio]/Ecology, environment/Bioclimatology, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, envir, geo
Relation: https://hal.science/hal-04125761/file/1-s2.0-S0168192323002101-main.pdf; https://hal.science/hal-04125761
Availability:
https://doi.org/10.1016/j.agrformet.2023.109519
https://hal.science/hal-04125761/file/1-s2.0-S0168192323002101-main.pdf
https://hal.science/hal-04125761
Authors: Liu, Yang, Trancoso, Ralph, Ma, Qin, Ciais, Philippe, Gouvêa, Lidiane, Yue, Chaofang, Assis, Jorge, Blanco, Juan
Contributors: Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Superior Title: ISSN: 0168-1923.
Subject Terms: Boosted regression trees, Carbon storage, Carbon storage change, Climate influences, Forest vegetation, Temperature threshold, [SDV.EE.BIO]Life Sciences [q-bio]/Ecology, environment/Bioclimatology, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, envir, geo
Relation: https://hal.science/hal-04125761/file/1-s2.0-S0168192323002101-main.pdf; https://hal.science/hal-04125761
Availability:
https://doi.org/10.1016/j.agrformet.2023.109519
https://hal.science/hal-04125761/file/1-s2.0-S0168192323002101-main.pdf
https://hal.science/hal-04125761
Authors: D'Uggento, A. M.
Contributors: Lombardo, R., Camminatiello, I., Simonacci, V., D'Uggento, A. M.
Subject Terms: environmental problems, sustainable behaviours, Classification and Regression Trees, Random Forest, envir, info
Relation: http://hdl.handle.net/11586/387147
Availability: http://hdl.handle.net/11586/387147
Authors: Kimberly T. Goetz, Fabrice Stephenson, Andrew Hoskins, Aidan D. Bindoff, Rachael A. Orben, Paul M. Sagar, Leigh G. Torres, Caitlin E. Kroeger, Lisa A. Sztukowski, Richard A. Phillips, Stephen C. Votier, Stuart Bearhop, Graeme A. Taylor, David R. Thompson
Subject Terms: Oceanography, Marine Biology, Marine Geoscience, Biological Oceanography, Chemical Oceanography, Physical Oceanography, Marine Engineering, albatross, species distribution models, relative environmental suitability, boosted regression tree, habitat suitability, geolocation, biologging, seabird conservation, envir, geo
Availability: https://doi.org/10.3389/fmars.2022.782923.s001
Authors: Han Liu, Yufang Jin, Leslie M Roche, Anthony T O’Geen, Randy A Dahlgren
Superior Title: Environmental Research Letters, Vol 18, Iss 1, p 014011 (2022)
Subject Terms: ecosystem productivity, climate change, rangelands, remote sensing, Gradient Boosted Regression Trees, GCM, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999, envir
Relation: https://doi.org/10.1088/1748-9326/aca689
Availability: https://doi.org/10.1088/1748-9326/aca689