Results 101 to 110 of about 257,827 (308)

Root trenching: a useful tool to estimate autotrophic soil respiration? A case study in an Austrian mountain forest [PDF]

, 2010
We conducted a trenching experiment in a mountain forest in order to assess the contribution of theautotrophic respiration to total soil respiration and evaluate trenching as a technique to achieve it.
A Ekblad, A Rey, A Schindlbacher, A Siira-Pietikäinen, A Siira-Pietikäinen, Agustín Rubio, Andreas Schindlbacher, CA McClaugherty, CP Andersen, D Epron, D Epron, D Epron, DJ Ross, DL Kelting, E Hackl, Eugenio Díaz-Pinés, EW Sulzman, F Herman, F Mutsch, H Persson, IA Janssens, J Bauhaus, J-A Subke, JB Brant, JW Raich, KC Ewel, LE Scott-Denton, M Uchida, M-s Lee, Michael Pfeffer, N Buchmann, P Högberg, P Högberg, PA Olsson, PJ Hanson, RD Boone, RD Bowden, RG Jörgensen, RK Monson, RM Kroppenstedt, Robert Jandl, SE Trumbore, Sophie Zechmeister-Boltenstern, Y Kuzyakov, Y Kuzyakov, Å Frostegård, Å Frostegård   +46 more
core   +2 more sources

Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu, Dimitrios Argyropoulos, Tamíris da Costa   +2 more
wiley   +1 more source

Soil microbial community structure -PLFAs v1 [PDF]

, 2018

openaire   +1 more source

Microbial functional diversity covaries with permafrost thaw-induced environmental heterogeneity in tundra soil. [PDF]

, 2017
Permafrost soil in high latitude tundra is one of the largest terrestrial carbon (C) stocks and is highly sensitive to climate warming. Understanding microbial responses to warming-induced environmental changes is critical to evaluating their influences ...
Cole, James R, Deng, Jie, Deng, Ye, Hale, Lauren, He, Zhili, Konstantinidis, Konstantinos T, Luo, Yiqi, Penton, Christopher R, Schuur, Edward AG, Tiedje, James M, Van Nostrand, Joy D, Wu, Liyou, Xue, Kai, Yang, Yunfeng, Yuan, Mengting M, Zhang, Jin, Zhou, Jizhong, Zhou, Xishu   +17 more
core   +2 more sources

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Impact of soil management on the functional activity of microbial communities associated to cork oak rhizosphere [PDF]

, 2007
The microbial ecology of cork oak rhizosphere was investigated using the Biolog community level physiological profile (CLPP) that provides a unique metabolic fingerprint helpful for the characterization of complex microbial communities.
Caredda, Marco, Deiana, Pietrino, Garau, Giovanni, Marongiu, Raffaele   +3 more
core  

Reduced tillage, but not organic matter input, increased nematode diversity and food web stability in European long‐term field experiments [PDF]

, 2019
Soil nematode communities and food web indices can inform about the complexity, nutrient flows and decomposition pathways of soil food webs, reflecting soil quality.
De Caceres M., De Goede R. G. M., Edgar R. C., Ferris H., Ferris H., Köppen W., Mekonen S., Minton N. A., Moura G. S., Neher D. A., Neher D. A., Neher D. A., Niles R. K., Oksanen J., Oostenbrink M., Pan F., Pinheiro J., R Development Core Team, RStudio Team, Toth G., Wang K.‐H., WRB, I. W. G., Yeates G. W.   +22 more
core   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Soil and plant factors driving the community of soil-borne microorganisms across chronosequences of secondary succession of chalk grasslands with a neutral pH [PDF]

, 2017
Although soil pH has been shown to be an important factor driving microbial communities, relatively little is known about the other potentially important factors that shape soil-borne microbial community structure. This study examined plant and microbial
Gamper, Hannes, Kowalchuk, George, Kuramae, Eiko, van Veen, Johannes   +3 more
core  

Do enzyme activities during decomposition follow predicted patterns? A test of the conceptual model of litter decay. [PDF]

, 2011
Surprisingly, there remains a paucity of research examining specific interactions between the relationship between microbial community behavior and plant litter chemistry during decomposition.
Daryl L. Moorhead, Jared L. DeForest, Michael N. Weintraub, Zachary L. Rinkes   +3 more
core   +2 more sources