Medium-term evaluation of a forest soil restoration trial combining tree species change, fertilisation and earthworm introductionThe 7th international symposium on earthworm ecology · Cardiff · Wales · 2002

Pedobiologia ◽  
2003 ◽  
Vol 47 (5-6) ◽  
pp. 772-783 ◽  
Author(s):  
B MUYS ◽  
G BECKERS ◽  
L NACHTERGALE ◽  
N LUST ◽  
R MERCKX ◽  
...  
Pedobiologia ◽  
2003 ◽  
Vol 47 (5-6) ◽  
pp. 772-783 ◽  
Author(s):  
Bart Muys ◽  
Griet Beckers ◽  
Lieven Nachtergale ◽  
Noël Lust ◽  
Roel Merckx ◽  
...  

2017 ◽  
Vol 47 (8) ◽  
pp. 997-1009 ◽  
Author(s):  
Katherine F. Crowley ◽  
Gary M. Lovett

As tree species composition in forests of the northeastern United States changes due to invasive forest pests, climate change, or other stressors, the extent to which forests will retain or release N from atmospheric deposition remains uncertain. We used a species-specific, dynamic forest ecosystem model (Spe-CN) to investigate how nitrate (NO3–) leaching may vary among stands dominated by different species, receiving varied atmospheric N inputs, or undergoing species change due to an invasive forest pest (emerald ash borer; EAB). In model simulations, NO3– leaching varied widely among stands dominated by 12 northeastern North American tree species. Nitrate leaching increased with N deposition or forest age, generally with greater magnitude for deciduous (except red oak) than coniferous species. Species with lowest baseline leaching rates (e.g., red spruce, eastern hemlock, red oak) showed threshold responses to N deposition. EAB effects on leaching depended on the species replacing white ash: after 100 years, predicted leaching increased 73% if sugar maple replaced ash but decreased 55% if red oak replaced ash. This analysis suggests that the effects of tree species change on NO3– leaching over time may be large and variable and should be incorporated into predictions of effects of N deposition on leaching from forested landscapes.


Oikos ◽  
2011 ◽  
Vol 120 (11) ◽  
pp. 1683-1695 ◽  
Author(s):  
Xavier Cavard ◽  
Yves Bergeron ◽  
Han Y. H. Chen ◽  
David Paré ◽  
Jérôme Laganière ◽  
...  

2020 ◽  
Vol 106 (7) ◽  
pp. 1433-1440
Author(s):  
Paul Lecoanet ◽  
Yohan Legallois ◽  
Clément Ribes ◽  
Yan Lefevre ◽  
Adrien Cadennes ◽  
...  

2016 ◽  
Vol 65 (1-2) ◽  
pp. 33-38
Author(s):  
Timea Hajnal-Jafari ◽  
Simonida Đurić ◽  
Dragana Stamenov ◽  
Verica Vasić ◽  
Davorka Hackenberger

Summary The aim of this research was to investigate the microbial activity in forest soil from different sites under deciduous and coniferous trees in Serbia. One site on Stara planina was under beech trees (Fagus sp.) while another under mixture of spruce (Picea sp.) and Douglas fir (Pseudotsuga sp.). The site on Kopaonik was under mixture of beech (Fagus sp.) and spruce (Picea sp.) trees. The site on Tara was dominantly under fir (Abies sp.), beech (Fagus sp.) and spruce (Picea sp.). The total number of bacteria, the number of actinobacteria, fungi and microorganisms involved in N and C cycles were determined using standard method of agar plates. The activities of dehydrogenase and ß-glucosidase enzymes were measured by spectrophotometric methods. The microbial activity was affected by tree species and sampling time. The highest dehydrogenase activity, total number of bacteria, number of actinobacteria, aminoheterotrophs, amylolytic and cellulolytic microorganisms were determined in soil under beech trees. The highest total number of fungi and number of pectinolytic microorganisms were determined in soil under spruce and Douglas fir trees. The correlation analyses proved the existence of statistically significant interdependency among investigated parameters.


2011 ◽  
Vol 342 (1-2) ◽  
pp. 369-378 ◽  
Author(s):  
Jean-Thomas Cornelis ◽  
Hugues Titeux ◽  
Jacques Ranger ◽  
Bruno Delvaux

2005 ◽  
Vol 50 (4) ◽  
pp. 614-625 ◽  
Author(s):  
David P. H. Lejon ◽  
Rémi Chaussod ◽  
Jacques Ranger ◽  
Lionel Ranjard

2018 ◽  
Vol 29 (6) ◽  
pp. 1738-1747 ◽  
Author(s):  
Songho Kim ◽  
Huadong Zang ◽  
Peter Mortimer ◽  
Lingling Shi ◽  
Yunju Li ◽  
...  

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