Nutrient cycling in two continuous cover scenarios for forest conversion of pine plantations on sandy soil. I. Nutrient cycling via aboveground tree biomass

2009 ◽  
Vol 39 (2) ◽  
pp. 441-452 ◽  
Author(s):  
A. De Schrijver ◽  
G. Geudens ◽  
K. Wuyts ◽  
J. Staelens ◽  
L. Gielis ◽  
...  
Keyword(s):  
Nutrient Cycling ◽  
Tree Species ◽  
Pine Plantations ◽  
Nature Management ◽  
Forest Conversion ◽  
Tree Biomass ◽  
Canopy Exchange ◽  
Important Concern ◽  
Continuous Cover Forestry ◽  
Aboveground Tree Biomass

Conversion of coniferous pine plantations into mixed-species forests on sandy soils is an important concern for forest and nature management in Europe. However, little is know of the effect of the applied sylvicultural strategy on biogeochemical cycling throughout the conversion process. This study examined the aboveground biomass production and nutrient (N, P, K, Ca, and Mg) cycling in terms of litterfall, immobilization in stems and branches, canopy exchange, and yearly root uptake in two scenarios of continuous cover forestry a decade after the first intervention for converting a homogeneous Scots pine (Pinus sylvestris L.) forest. Four regeneration types were studied: silver birch (Betula pendula L.) and pine after a shelterwood cutting and birch and pine after a group cutting. In conclusion, it can be stated that both the tree species and the conversion scenario influence the circulation of nutrients through the forest ecosystem: cycling of N, P, and K is determined by the tree species as well as the conversion scenario, whereas circulation of Ca and Mg is predominantly influenced by the type of conversion.

Nutrient cycling in two continuous cover scenarios for forest conversion of pine plantations on sandy soil. II. Nutrient cycling via throughfall deposition and seepage flux

2009 ◽  
Vol 39 (2) ◽  
pp. 453-466 ◽  
Author(s):  
L. Gielis ◽  
A. De Schrijver ◽  
K. Wuyts ◽  
J. Staelens ◽  
J. Vandenbruwane ◽  
...  
Keyword(s):  
Nutrient Cycling ◽  
Scots Pine ◽  
Tree Species ◽  
Betula Pendula ◽  
Pine Plantations ◽  
Forest Conversion ◽  
Profound Influence ◽  
Shelterwood Cut ◽  
Species Being ◽  
Throughfall Deposition

This study examined ion throughfall deposition and seepage fluxes in silver birch (Betula pendula L.) and Scots pine (Pinus sylvestris L.) regenerations a decade after a forest conversion intervention in two continuous cover scenarios (shelterwood cut versus group cut), as well as a 70-year-old control stand of Scots pine. Ion throughfall deposition was significantly influenced by the conversion scenario, being higher in the shelterwood cut than in the group cut. Compared with the control stand, nitrogen and acidifying throughfall deposition was significantly lower (–60%) in all regeneration types except for the birch regeneration under shelter. After shelter removal, ion throughfall deposition was significantly lower in all regeneration types than in the control stand. Seepage of NO3– and SO42– was significantly affected by the tree species, being higher in the birch than the pine regenerations, and SO42– seepage was significantly higher under shelter than in the group cut. After shelter removal, neither tree species nor scenario influenced the SO42– seepage, whereas the tree species still affected NO3– seepage. We conclude that the chosen forest conversion scenario is of profound influence on the ion throughfall and seepage fluxes during the first phase of a forest conversion process.

scholarly journals Estimating Aboveground Tree Biomass for Beetle-Killed Lodgepole Pine in the Rocky Mountains of Northern Colorado

2017 ◽  
Vol 63 (4) ◽  
pp. 413-419 ◽  
Author(s):  
Woodam Chung ◽  
Paul Evangelista ◽  
Nathaniel Anderson ◽  
Anthony Vorster ◽  
Hee Han ◽  
...  
Keyword(s):  
Rocky Mountains ◽  
Lodgepole Pine ◽  
Tree Biomass ◽  
Northern Colorado ◽  
Aboveground Tree Biomass

Improving the accuracy of tree biomass estimations for three coniferous tree species in Northeast China

Trees ◽  
2021 ◽  
Author(s):  
Longfei Xie ◽  
Liyong Fu ◽  
Faris Rafi Almay Widagdo ◽  
Lihu Dong ◽  
Fengri Li
Keyword(s):  
Tree Species ◽  
Northeast China ◽  
Coniferous Tree ◽  
Tree Biomass ◽  
Coniferous Tree Species

scholarly journals Loss of Tree Biomass in Jure Landslide, Sindhupalchowk, Nepal

2016 ◽  
Vol 21 (1) ◽  
pp. 65-70
Author(s):  
Smrita Acharya ◽  
Udhab Raj Khadka
Keyword(s):  
Tree Species ◽  
Sampling Technique ◽  
Allometric Equation ◽  
Total Biomass ◽  
Tree Biomass ◽  
Loss Mitigation ◽  
Shorea Robusta ◽  
Mountainous Regions ◽  
Mountain Environment ◽  
Total Tree

Landslide causes massive loss of lives and properties along with intangible losses in mountainous regions. Yet such intangible losses in ecosystems are rarely considered. The present study assesses the tree biomass lost due to Jure landslide in Sindhupalchowk that destroyed 71 hectare of land. Altogether, 12 plots (250 m2) were sampled through systematic and purposive sampling technique. The total tree biomass was estimated using allometric equation. The study recorded 21 tree species in which Schimawallichiii (Korth.), Lagerstroemia parviflora (Roxb.), Shorea robusta (Gaertn.), Alnus nepalensis (D. Don), Phyllanthus emblica (Linn.) and Celtius australis (Linn.) were dominant. Schima wallichiii had the highest density (320 individual ha-1) and frequency (92%). The total biomass of tree species was 216 ton ha-1 in which Schima wallichiii constituted the highest total tree biomass (82 ton ha-1). In 71 ha landslide area, the landslide caused loss of 15,336 tons of total tree biomass, which equals to 56,283 tons CO2 equivalents. These findings are relevant for assessing post-landslide impacts on the mountain environment. Furthermore, to reduce carbon emissions resulting from forest loss, mitigation of landslide is crucial.Journal of Institute of Science and TechnologyVol. 21, No. 1, 2016,Page: 65-70

Forest floor mass and nutrients in two chronosequences of plantations: Jack pine vs. black spruce

1998 ◽  
Vol 78 (1) ◽  
pp. 77-83 ◽  
Author(s):  
Helmut Krause
Keyword(s):  
Nutrient Cycling ◽  
Picea Mariana ◽  
Forest Floor ◽  
Pinus Banksiana ◽  
Forest Cover ◽  
Black Spruce ◽  
Jack Pine ◽  
Pine Plantations ◽  
Nutrient Concentrations ◽  
Natural Forests

The purpose of this study was to determine whether change of forest cover had an effect on the development of the organic surface horizons, particularly on those variables that influence nutrient cycling and forest productivity. Jack pine (Pinus banksiana Lamb.) and black spruce (Picea mariana [Mill.] B.S.P.) plantations were selected from among the youngest to oldest (2–16 yr) within a 100 km2 area in southeastern New Brunswick. Natural forests were also included as benchmark sites. The forest floor and tree foliage was sampled and trees measured on 0.05-ha plots. The forest floor samples were used to determine organic mass, nutrient contents and pH. In pine plantations, organic matter accumulated rapidly during the period of exponential tree growth, but leveled off at about 45 Mg ha–1. This was within the range of benchmark sites with mixed conifer-hardwood cover. In spruce plantations, the forest floor mass ranged upward to 77 Mg ha–1. Development was strongly influenced by the nature of the previous forest. Spruce forest floors were on average more acid and had lower nutrient concentrations, particularly N and Ca. The observed differences suggest that nutrients are recycled more rapidly in the pine plantations, partly explaining the superior growth of the latter. Key words: Forest floor, Kalmia angustifolia L., Picea mariana (Mill.) B.S.P., Pinus banksiana Lamb., nutrient cycling, plantation forest

Effects of diversity of tree species on nutrient cycling and soil-related processes

CATENA ◽  
2019 ◽  
Vol 178 ◽  
pp. 335-344 ◽  
Author(s):  
Katayoun Haghverdi ◽  
Yahya Kooch
Keyword(s):  
Nutrient Cycling ◽  
Tree Species

scholarly journals Additive Tree Biomass Equations for Midrotation Loblolly Pine Plantations

2015 ◽  
Vol 61 (4) ◽  
pp. 613-623 ◽  
Author(s):  
Dehai Zhao ◽  
Michael Kane ◽  
Daniel Markewitz ◽  
Robert Teskey ◽  
Michael Clutter
Keyword(s):  
Loblolly Pine ◽  
Pine Plantations ◽  
Tree Biomass ◽  
Additive Tree ◽  
Biomass Equations
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