Suchergebnisse - "Process-based modeling"

Exploring Process Heterogeneity in Environmental Statistics: Examples and Methodological Advances

Autoren: Laaha, Gregor Laimighofer, Johannes Özcelik, Nur Banu et al.

Quelle: Austrian Journal of Statistics, Vol 54, Iss 3 (2025)

Schlagwörter: extreme events, hybrid rainfall distribution, quantile regression, statistical learning models, Statistics, drought, environmental statistics, flood, process-based modeling, Probabilities. Mathematical statistics, QA273-280, cluster analysis, HA1-4737

Zugangs-URL: https://doaj.org/article/61a370563ad148f6964a4f9b75e1df3e
https://research.wur.nl/en/publications/exploring-process-heterogeneity-in-environmental-statistics-examp
https://doi.org/10.17713/ajs.v54i3.2101

Sustained Green Manure‐Rice Rotations Can Mitigate Methane Emissions by Enhancing Microbial Methane Oxidation in Southern China

Autoren: Liang, Hao Fu, Jin Zhou, Guopeng et al.

Weitere Verfasser: Liang, Hao Fu, Jin Zhou, Guopeng et al.

Quelle: Earth's Future. 13

Schlagwörter: [SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy, [SDE] Environmental Sciences, [SDE.MCG] Environmental Sciences/Global Changes, rotation year, paddy soil, green manure, methane, process-based modeling

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.inrae.fr/hal-05213558v1/document
https://hal.inrae.fr/hal-05213558v1
https://doi.org/10.1029/2024ef005698

Evolutionary rescue in a mixed beech–fir forest: insights from a quantitative‐genetics approach in a process‐based model

Autoren: Devresse, Louis Way, Freya Postic, Tanguy et al.

Weitere Verfasser: Devresse, Louis Way, Freya Postic, Tanguy et al.

Quelle: Oikos.

Schlagwörter: Process-based modeling, Ecology, Eco-evolution, Evolution, Modeling, Climate change, Forest ecology, [SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, Quantitative genetic

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.inrae.fr/hal-05150321v1/document
https://hal.inrae.fr/hal-05150321v1
https://doi.org/10.1002/oik.11661

An integral assessment of the impact of diet and manure management on whole-farm greenhouse gas and nitrogen emissions in dairy cattle production systems using process-based models

Autoren: Latifa Ouatahar André Bannink Jürgen Zentek et al.

Quelle: Waste Management. 187:79-90

Schlagwörter: Dairy production systems, Farms, Process-based modeling, 600 Technik, Medizin, angewandte Wissenschaften::630 Landwirtschaft::630 Landwirtschaft und verwandte Bereiche, Nitrogen, 01 natural sciences, 7. Clean energy, Greenhouse Gases, Germany, Greenhouse gas emissions, Animals, 0105 earth and related environmental sciences, 2. Zero hunger, Air Pollutants, 04 agricultural and veterinary sciences, Models, Theoretical, 15. Life on land, Feed management, Diet, Manure, Dairying, 13. Climate action, 0401 agriculture, forestry, and fisheries, Cattle, New Zealand

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38996622

Hydro-pedotransfer functions: a roadmap for future development

Autoren: T. K. D. Weber L. Weihermüller A. Nemes et al.

Weitere Verfasser: T. K. D. Weber L. Weihermüller A. Nemes et al.

Quelle: Hydrology and Earth System Sciences, Vol 28, Pp 3391-3433 (2024)
Weber, T K D, Weihermüller, L, Nemes, A, Bechtold, M, Degré, A, Diamantopoulos, E, Fatichi, S, Filipović, V, Gupta, S, Hohenbrink, T L, Hirmas, D R, Jackisch, C, De Jong Van Lier, Q, Koestel, J, Lehmann, P, Marthews, T R, Minasny, B, Pagel, H, Van Der Ploeg, M, Shojaeezadeh, S A, Svane, S F, Szabó, B, Vereecken, H, Verhoef, A, Young, M, Zeng, Y, Zhang, Y & Bonetti, S 2024, ' Hydro-pedotransfer functions : A roadmap for future development ', Hydrology and Earth System Sciences, vol. 28, no. 14, pp. 3391-3433 . https://doi.org/10.5194/hess-28-3391-2024
Hydrology and earth system sciences 28(14), 3391-3433 (2024). doi:10.5194/hess-28-3391-2024
Hydrology and Earth System Sciences, 28 (14)
Hydrology and Earth System Sciences

Schlagwörter: Technology, Bodenanalyse, Modell, SPHAGNUM MOSS, Environmental technology. Sanitary engineering, Ingénierie, informatique & technologie, Biogeochemical process, Earth and Planetary Sciences (miscellaneous), Geography. Anthropology. Recreation, GE1-350, SATURATED HYDRAULIC CONDUCTIVITY, Geosciences, Multidisciplinary, TD1-1066, Water Science and Technology, 2. Zero hunger, Geology, Hydraulics effects, Agriculture & agronomy, Life sciences, Daten, Pedo-transfer functions, 6. Clean water, Soil hydraulics, REFLECTANCE SPECTROSCOPY, Roadmap, Physical Sciences, Sciences du vivant, Water Resources, SOIL-WATER-RETENTION, 0406 Physical Geography and Environmental Geoscience, 3709 Physical geography and environmental geoscience, Process-based modeling, Environmental Engineering, Physique, chimie, mathématiques & sciences de la terre, PHYSICAL-PROPERTIES, SENSITIVITY-ANALYSIS, Soil hydraulic properties, 0905 Civil Engineering, Physical, chemical, mathematical & earth Sciences, Empirical model, Agriculture & agronomie, Life Science, UNSATURATED CONDUCTIVITY, SEASONAL-CHANGES, Pedotransfer functions, HYSTERETIC MOISTURE PROPERTIES, Science & Technology, 3707 Hydrology, Physikochemische Bodeneigenschaft, 15. Life on land, Engineering, computing & technology, Sciences de la terre & géographie physique, Environmental sciences, 0907 Environmental Engineering, 13. Climate action, Earth sciences & physical geography, HETEROGENEOUS SOILS, 4013 Geomatic engineering, Hydrological process

Dateibeschreibung: application/pdf; application/application/pdf

Zugangs-URL: https://hess.copernicus.org/articles/28/3391/2024/
https://doaj.org/article/3125c6e54afa48c1ba36491424163193
https://lirias.kuleuven.be/handle/20.500.12942/747360
https://doi.org/10.5194/hess-28-3391-2024
https://hdl.handle.net/2268/321088
https://doi.org/10.5194/hess-28-3391-2024
https://curis.ku.dk/ws/files/401127378/hess_28_3391_2024.pdf
https://juser.fz-juelich.de/record/1029339
https://repository.publisso.de/resource/frl:6484531
http://hdl.handle.net/20.500.11850/688246

Water quality modeling of a eutrophic drinking water source: Impact of future climate on Cyanobacterial blooms

Autoren: Elhabashy, Ahmed Li, Jing Sokolova, Ekaterina

Quelle: Ecological Modelling. 477

Schlagwörter: Climate change, Process-based modeling, Blue-green algae, Nutrient loading, Chlorophyll-a, Hydrodynamic model

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/534311
https://research.chalmers.se/publication/534311/file/534311_Fulltext.pdf

Model Inputs and Data Requirements for Process‐Based Stream Temperature Modeling in Regulated Peri‐Alpine Rivers

Autoren: David Dorthe Michael Pfister Stuart N. Lane

Quelle: Water Resources Research, Vol 61, Iss 9, Pp n/a-n/a (2025)

Schlagwörter: stream temperature, process‐based modeling, thermopeaking, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/0043-1397; https://doaj.org/toc/1944-7973

Zugangs-URL: https://doaj.org/article/d94fa58f3cfd478f87d15a5664c5c929

Delayed water quality response to external nutrient loading reduction: the role of internal nutrient loading in a shallow eutrophic lake over 20 years

Autoren: Lei Zhao Yule Su Wei Gao et al.

Quelle: Ecological Indicators, Vol 177, Iss , Pp 113731- (2025)

Schlagwörter: Lake eutrophication, Dianchi Lake, Internal nutrient cycling, Process-based modeling, Bayesian inference, Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X25006612; https://doaj.org/toc/1470-160X

Zugangs-URL: https://doaj.org/article/ec36785898c44de388fbb8740606fcd3

PDG-Arena: an ecophysiological model for characterizing tree-tree interactions in heterogeneous and mixed stands

Autoren: Camille Rouet Hendrik Davi Arsène Druel et al.

Quelle: Annals of Forest Science, Vol 82, Iss 1, Pp 1-21 (2025)

Schlagwörter: Process-based modeling, Mixed forest, Competition, Overyielding, Drought, French Alps, Forestry, SD1-669.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1297-966X

Zugangs-URL: https://doaj.org/article/b3eb0be93070445caf9070e8692178a0

Long-term leaf C:N ratio change under elevated CO2 and nitrogen deposition in China: Evidence from observations and process-based modeling

Autoren: Sheng, Mingyang Tang, Jinyun Yang, Dawen et al.

Quelle: The Science of The Total Environment. 800

Schlagwörter: 30 Agricultural, Veterinary and Food Sciences (for-2020), 31 Biological Sciences (for-2020), 3103 Ecology (for-2020), 3007 Forestry Sciences (for-2020), 13 Climate Action (sdg), Carbon (mesh), Carbon Dioxide (mesh), China (mesh), Ecosystem (mesh), Nitrogen (mesh), Plant Leaves (mesh), Soil (mesh), Leaf C:N ratio, Data-driven modeling, Process-based modeling, Nitrogen deposition, Plant Leaves (mesh), Carbon Dioxide (mesh), Carbon (mesh), Nitrogen (mesh), Soil (mesh), Ecosystem (mesh), China (mesh), Data-driven modeling, Leaf C:N ratio, Nitrogen deposition, Process-based modeling, Carbon (mesh), Carbon Dioxide (mesh), China (mesh), Ecosystem (mesh), Nitrogen (mesh), Plant Leaves (mesh), Soil (mesh), Environmental Sciences (science-metrix)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/80j334pn
https://escholarship.org/content/qt80j334pn/qt80j334pn.pdf

The octoPus: An open-source software for supporting farmers in the control of grapevine downy mildew

Autoren: Simone Bregaglio Eleonora Del Cavallo Lorenzo Ascari et al.

Quelle: SoftwareX, Vol 30, Iss , Pp 102085- (2025)

Schlagwörter: Plant protection, Large language model, Random forest, Process-based modeling, Integrated pest management, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711025000524; https://doaj.org/toc/2352-7110

Zugangs-URL: https://doaj.org/article/3f79c7d4fc434158b25e35e5de26d112

Towards crop monitoring in agro-photovoltaic systems: An image-driven modeling approach for fAPAR-derived biomass estimation

Autoren: Moretta, Michele Moriondo, Marco Leolini, Luisa et al.

Quelle: European Journal of Agronomy. 170:127748

Schlagwörter: Alfalfa, GroIMP, LiDAR, Process-based modeling, Timelapse image

Dateibeschreibung: application/pdf

Real time forecasting in the coastal zone: Stream power in the lower Mississippi River

Autoren: Laura Manuel Ehab Meselhe Kelin Hu et al.

Quelle: Journal of Hydrology: Regional Studies, Vol 57, Iss , Pp 102088- (2025)

Schlagwörter: Real time forecasting, Gulf of Mexico, Lower Mississippi River, Process-based modeling, Coastal zone forecasts, Stream power, Physical geography, GB3-5030, Geology, QE1-996.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214581824004373; https://doaj.org/toc/2214-5818

Zugangs-URL: https://doaj.org/article/6c885d1e160e4edfb2e1dd5bd6e1d0e7

Model-assisted analysis on the response of tomato fruit growth to source-sink ratio regulated by water and nitrogen

Autoren: Huiping Zhou Jinliang Chen Shaozhong Kang

Quelle: Agricultural Water Management, Vol 307, Iss , Pp 109222- (2025)

Schlagwörter: Fruit growth, Water stress, Nitrogen, Source-sink ratio, Process-based modeling, Solanum lycopersicum, Agriculture (General), S1-972, Agricultural industries, HD9000-9495

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0378377424005584; https://doaj.org/toc/1873-2283

Zugangs-URL: https://doaj.org/article/1a101fcc003b4890bb22e39872e72a77

The Fate of Deep Permafrost Carbon in Northern High Latitudes in the 21st Century: A Process‐Based Modeling Analysis

Autoren: L. Liu Q. Zhuang D. Zhao et al.

Quelle: Earth's Future, Vol 12, Iss 11, Pp n/a-n/a (2024)

Schlagwörter: Environmental sciences, 0301 basic medicine, 03 medical and health sciences, climate change, process‐based modeling, Ecology, deep soils, GE1-350, ecosystem C budget, 01 natural sciences, permafrost degradation, QH540-549.5, 0105 earth and related environmental sciences

Zugangs-URL: https://doaj.org/article/4980da207baa499ca02037466ff4f8db

Process‐Based Modeling of Ecosystem‐Level Monoterpene From a Japanese Larch (Larix kaempferi) Forest

Autoren: Zhanzhuo Chen Tomomichi Kato Akihiko Ito et al.

Quelle: Journal of Geophysical Research: Biogeosciences. 129

Schlagwörter: monoterpene emission, Japanese larch, process-based modeling

Inland Waters Increasingly Produce and Emit Nitrous Oxide

Autoren: Junjie Wang Lauriane Vilmin José M. Mogollón et al.

Weitere Verfasser: Junjie Wang Lauriane Vilmin José M. Mogollón et al.

Quelle: Environ Sci Technol

Schlagwörter: Inland waters, N2O cycling, long-term temporal changes, long-term temporal changes, Nitrous oxide, Asia, Southern, Nitrous Oxide, Integrated process-based modeling, Water, Agriculture, General Chemistry, 15. Life on land, N2O cycling, 6. Clean water, Greenhouse gas emission, 13. Climate action, Environmental Chemistry, 14. Life underwater, Spatial distributions, closed N2O budget

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37647507
https://research-portal.uu.nl/en/publications/459df9a2-3a37-4279-93ed-f1bec382b976
https://doi.org/10.1021/acs.est.3c04230
https://dspace.library.uu.nl/handle/1874/431448

Accuracy, realism and general applicability of European forest models

Autoren: Mahnken, Mats Cailleret, Maxime Collalti, Alessio et al.

Weitere Verfasser: Mahnken, Mats Cailleret, Maxime Collalti, Alessio et al.

Quelle: Articles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)
Dipòsit Digital de la UB
instname
Global change biology
28 (2022): 6921–6943. doi:10.1111/gcb.16384
info:cnr-pdr/source/autori:M. Mahnken, M. Cailleret, A. Collalti, C. Trotta, C. Biondo, E. D'Andrea, D. Dalmonech, G. Marano, A. Mäkelä, F. Minunno, Peltoniemi, V. Trotsiuk, D. Nadal-Sala, S. Sabaté, P. Vallet, R. Aussenac, D.R. Cameron, F.J. Bohn, R. Grote, A.L.D. Augustynczik, R. Yousefpour, N. Huber, H. Bugmann, K. Merganicova, J. Merganic, P. Valent, P. Lasch-Born, F. Hartig, I.D. Vega del Valle, J. Volkholz, M. Gutsch, G. Matteucci, J. Krejza, A. Ibrom, H. Meesenburg, T. Rötzer, M. van der Maaten-Theunissen, E. van der Maaten, C.P.O. Reyer./titolo:Accuracy, realism and general applicability of European forest models/doi:10.1111%2Fgcb.16384/rivista:Global change biology (Print)/anno:2022/pagina_da:6921/pagina_a:6943/intervallo_pagine:6921–6943/volume:28
Mahnken, M, Cailleret, M, Collalti, A, Trotta, C, Biondo, C, D'Andrea, E, Dalmonech, D, Marano, G, Mäkelä, A, Minunno, F, Peltoniemi, M, Trotsiuk, V, Nadal-Sala, D, Sabaté, S, Vallet, P, Aussenac, R, Cameron, D R, Bohn, F J, Grote, R, Augustynczik, A L D, Yousefpour, R, Huber, N, Bugmann, H, Merganičová, K, Merganic, J, Valent, P, Lasch-Born, P, Hartig, F, Vega del Valle, I D, Volkholz, J, Gutsch, M, Matteucci, G, Krejza, J, Ibrom, A, Meesenburg, H, Rötzer, T, van der Maaten-Theunissen, M, van der Maaten, E & Reyer, C P O 2022, ' Accuracy, realism and general applicability of European forest models ', Global Change Biology, vol. 28, no. 23, pp. 6921-6943 . https://doi.org/10.1111/gcb.16384
Global Change Biology, 28 (23), 6921-6943

Schlagwörter: [SDE] Environmental Sciences, 0106 biological sciences, model evaluation, Model ensemble, 01 natural sciences, 11. Sustainability, name=SDG 13 - Climate Action, Terrestrial carbon dynamics, terrestrial carbon dynamics, gap model, CLIMATE-CHANGE, Temperature, Forestry, Eddy-covariance, Models biològics, ta4112, ddc, Europe, [SDE]Environmental Sciences, CO2 ENRICHMENT, eddy-covariance, Europa, EDDY COVARIANCE DATA, Process-based modeling, Climate Change, Carbon Cycle, model ensemble, USE EFFICIENCY, PROGRAM MULTISCALE SYNTHESIS, Model evaluation, Gap model, Biological models, 0105 earth and related environmental sciences, NET ECOSYSTEM EXCHANGE, ddc:550, INTERCOMPARISON PROJECT, Water, PINUS-SYLVESTRIS, process-based modeling, 15. Life on land, CARBON BALANCE MODEL, Carbon, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Earth sciences, Ecologia forestal, Ecology, evolutionary biology, 13. Climate action, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Forest ecology, eddy- covariance, PRIMARY PRODUCTIVITY

Dateibeschreibung: application/pdf; text; false; pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36117412
https://hdl.handle.net/2445/194351
https://hdl.handle.net/20.500.14243/445747
https://doi.org/10.1111/gcb.16384
http://nora.nerc.ac.uk/id/eprint/534702/
https://orbit.dtu.dk/en/publications/902e5b9d-1d5d-418c-9c64-9f393c6e22c5
http://hdl.handle.net/10138/352771
https://resolver.sub.uni-goettingen.de/purl?gro-2/114439
https://hal.inrae.fr/hal-04066667v1/document
https://hal.inrae.fr/hal-04066667v1
https://doi.org/10.1111/gcb.16384
https://pure.iiasa.ac.at/id/eprint/18236/
https://publikationen.bibliothek.kit.edu/1000151649
https://doi.org/10.5445/IR/1000151649
https://publikationen.bibliothek.kit.edu/1000151649/149458390
https://mediatum.ub.tum.de/1834984
http://hdl.handle.net/2445/194351

Ericoid mycorrhizal fungi mediate the response of ombrotrophic peatlands to fertilization: a modeling study

Autoren: Shao, Siya Wu, Jianghua He, Hongxing et al.

Weitere Verfasser: Shao, Siya Wu, Jianghua He, Hongxing et al.

Quelle: New Phytologist. 238:80-95

Schlagwörter: Carbon cycling, Process-based modeling, ta1172, Fungi, Plants, 15. Life on land, Ericoid mycorrhizal fungi, Nutrient cycling, Ombrotrophic peatland, Soil, Sphagnum, 13. Climate action, Mycorrhizae, Wetlands, Fertilization, ta1181, Ericaceous shrub, Biomass, 14. Life underwater

Dateibeschreibung: false

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36300568
http://juuli.fi/Record/0394457422
https://doi.org/10.1111/nph.18555

Using Physics-Encoded GeoAI to Improve the Physical Realism of Deep Learning′s Rainfall-Runoff Responses under Climate Change

Autoren: Heng Li Yuqian Hu Chunxiao Zhang et al.

Quelle: International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104101- (2024)

Schlagwörter: Climate Change, Deep Learning, Process-based Modeling, Physics-Encoded Hybrid Modeling, Runoff responses, Physical geography, GB3-5030, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843224004552; https://doaj.org/toc/1569-8432

Zugangs-URL: https://doaj.org/article/47d710f8145246738b95cb95b06324bf