scholarly journals The demography of tree species response to climate: sapling and canopy tree growth

Ecosphere ◽  
2016 ◽  
Vol 7 (10) ◽  
pp. e01474 ◽  
Author(s):  
Charles D. Canham ◽  
Lora Murphy
Keyword(s):  
Tree Growth ◽  
Tree Species ◽  
Species Response ◽  
Canopy Tree

The Rate of Forest Tree Growth and a Forest Ordination at Xumeni, Natal

Bothalia ◽  
1971 ◽  
Vol 10 (3) ◽  
pp. 451-460 ◽  
Author(s):  
E. J. Moll ◽  
D. B. Woods
Keyword(s):  
South Africa ◽  
Tree Growth ◽  
Tree Species ◽  
Forest Tree ◽  
Moist Soil ◽  
Breast Height ◽  
Canopy Tree ◽  
Ordination Analysis ◽  
The Mean ◽  
Canopy Tree Species

The rate of increment in circumference at breast height of canopy tree species in the southern temperate, Mist-belt forest at Xumeni, Natal, South Africa, is very slow. The mean for all trees calculated from measurements in 1929 and 1966 is 0.201 ± 0.015 inches per year. Results from an ordination analysis of 39 plots were interpreted in terms of a successional gradient from serai sites on steep ground, characterized by  Kiggelaria africana, Xymalos monospora and  Fagara davyi,  to climax sites on flatter ground with  Podocarpus spp. Two climax types are indicated, with  P. henkelli on moist soil and  P. falcatus on drier soils.

scholarly journals The demography of tree species response to climate: sapling and canopy tree survival

Ecosphere ◽  
2017 ◽  
Vol 8 (2) ◽  
pp. e01701 ◽  
Author(s):  
Charles D. Canham ◽  
Lora Murphy
Keyword(s):  
Tree Species ◽  
Species Response ◽  
Canopy Tree ◽  
Tree Survival

scholarly journals Forest carbon sink neutralized by pervasive growth-lifespan trade-offs

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
R. J. W. Brienen ◽  
L. Caldwell ◽  
L. Duchesne ◽  
S. Voelker ◽  
J. Barichivich ◽  
...  
Keyword(s):  
Tree Growth ◽  
Tree Mortality ◽  
Carbon Sink ◽  
Growth Stimulation ◽  
Forest Carbon ◽  
System Model ◽  
Earth System ◽  
Canopy Tree ◽  
Trade Offs ◽  
Almost All

Abstract Land vegetation is currently taking up large amounts of atmospheric CO2, possibly due to tree growth stimulation. Extant models predict that this growth stimulation will continue to cause a net carbon uptake this century. However, there are indications that increased growth rates may shorten trees′ lifespan and thus recent increases in forest carbon stocks may be transient due to lagged increases in mortality. Here we show that growth-lifespan trade-offs are indeed near universal, occurring across almost all species and climates. This trade-off is directly linked to faster growth reducing tree lifespan, and not due to covariance with climate or environment. Thus, current tree growth stimulation will, inevitably, result in a lagged increase in canopy tree mortality, as is indeed widely observed, and eventually neutralise carbon gains due to growth stimulation. Results from a strongly data-based forest simulator confirm these expectations. Extant Earth system model projections of global forest carbon sink persistence are likely too optimistic, increasing the need to curb greenhouse gas emissions.

scholarly journals Entwicklung klimasensitiver Wachstumsfunktionen für das Szenariomodell «Massimo»

2015 ◽  
Vol 166 (6) ◽  
pp. 389-398 ◽  
Author(s):  
Brigitte Rohner ◽  
Esther Thürig
Keyword(s):  
Tree Ring ◽  
Tree Growth ◽  
Tree Species ◽  
Climatic Factors ◽  
Climate Variables ◽  
Individual Tree ◽  
Climate Effects ◽  
Growth Functions ◽  
Tree Ring Data ◽  
Scenario Model

Development of climate-dependent growth functions for the scenario model “Massimo” Tree growth is substantially influenced by climatic factors. In the face of climate change, climate effects should therefore be included in estimations of Switzerland's future forest productivity. In order to include climate effects in the growth functions of the “Massimo” model, which is typically applied to project forest resources in Switzerland, we statistically modelled climate effects on tree growth representatively for Switzerland by simultaneously considering further growth-influencing factors. First, we used tree ring data to evaluate how climate variables should be defined. This analyses showed that for modelling multi-year tree growth we should use averages of whole-year variables. Second, we fitted nonlinear mixed-effects models separately for the main tree species to individual-tree growth data from the Swiss National Forest Inventory. In these models, we combined climate variables defined according to the results of the tree ring study with various further variables that characterize sites, stands and individual trees. The quantified effects were generally plausible and explained convincingly the physiological differences between the species. The statistical growth models for the main tree species will now be included in the forest scenario model “Massimo”. This will allow for founded analyses of scenarios which assume changing climatic conditions.

scholarly journals Coordination and trade-offs among hydraulic safety, efficiency and drought avoidance traits in Amazonian rainforest canopy tree species

2018 ◽  
Vol 218 (3) ◽  
pp. 1015-1024 ◽  
Author(s):  
Louis S. Santiago ◽  
Mark E. De Guzman ◽  
Christopher Baraloto ◽  
Jacob E. Vogenberg ◽  
Max Brodie ◽  
...  
Keyword(s):  
Tree Species ◽  
Canopy Tree ◽  
Drought Avoidance ◽  
Trade Offs ◽  
Hydraulic Safety ◽  
Amazonian Rainforest ◽  
Canopy Tree Species

Urbanization decreases the extent and variety of leaf herbivory for native canopy tree species Quercus rubra, Quercus alba, and Acer saccharum

2019 ◽  
Vol 22 (5) ◽  
pp. 907-916 ◽  
Author(s):  
Sheila K. Schueller ◽  
Sophia Paul ◽  
Natalie Payer ◽  
Robin Schultze ◽  
M. Vikas
Keyword(s):  
Tree Species ◽  
Acer Saccharum ◽  
Quercus Rubra ◽  
Quercus Alba ◽  
Canopy Tree ◽  
Canopy Tree Species ◽  
Leaf Herbivory

Determinants of spatial patterns of canopy tree species in a tropical evergreen forest in Gabon

2019 ◽  
Vol 30 (5) ◽  
pp. 929-939 ◽  
Author(s):  
Nestor Laurier Engone Obiang ◽  
David Kenfack ◽  
Nicolas Picard ◽  
James A. Lutz ◽  
Pulchérie Bissiengou ◽  
...  
Keyword(s):  
Spatial Patterns ◽  
Tree Species ◽  
Evergreen Forest ◽  
Canopy Tree ◽  
Tropical Evergreen Forest ◽  
Canopy Tree Species
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