Environmental drivers of plant distributions at global and regional scales

2021 ◽  
Vol 30 (3) ◽  
pp. 697-709
Author(s):  
Erhan Huang ◽  
Yuxin Chen ◽  
Miao Fang ◽  
Yi Zheng ◽  
Shixiao Yu
Keyword(s):  
Environmental Drivers ◽  
Plant Distributions

Intra-seasonal and inter-annual patterns in the demographics of sand lance and response to environmental drivers in the North Pacific

2019 ◽  
Vol 617-618 ◽  
pp. 221-244 ◽  
Author(s):  
MR Baker ◽  
ME Matta ◽  
M Beaulieu ◽  
N Paris ◽  
S Huber ◽  
...  
Keyword(s):  
North Pacific ◽  
Environmental Drivers ◽  
Sand Lance ◽  
The North ◽  
The North Pacific ◽  
Annual Patterns

scholarly journals A multifaceted approach for beech forest conservation: Environmental drivers of understory plant diversity

Flora ◽  
2019 ◽  
Vol 256 ◽  
pp. 85-91 ◽  
Author(s):  
Gianluigi Ottaviani ◽  
Lars Götzenberger ◽  
Giovanni Bacaro ◽  
Alessandro Chiarucci ◽  
Francesco de Bello ◽  
...  
Keyword(s):  
Plant Diversity ◽  
Forest Conservation ◽  
Beech Forest ◽  
Environmental Drivers ◽  
Multifaceted Approach ◽  
Understory Plant

Environmental drivers of golden tilefish ( Lopholatilus chamaeleonticeps ) commercial landings and catch‐per‐unit‐effort

2021 ◽  
Author(s):  
Geneviève Nesslage ◽  
Vyacheslav Lyubchich ◽  
Paul Nitschke ◽  
Erik Williams ◽  
Churchill Grimes ◽  
...  
Keyword(s):  
Environmental Drivers ◽  
Catch Per Unit Effort ◽  
Unit Effort

scholarly journals To what extent does the species composition of Macaronesian laurel forests depend on their human disturbance history and environmental drivers?

2021 ◽  
Vol 497 ◽  
pp. 119468
Author(s):  
Jesús Parada-Díaz ◽  
Jürgen Kluge ◽  
Víctor Bello-Rodríguez ◽  
Marcelino J. Del Arco Aguilar ◽  
Juana María González-Mancebo
Keyword(s):  
Species Composition ◽  
Human Disturbance ◽  
Environmental Drivers ◽  
Disturbance History

scholarly journals Environmental Drivers and Age Trends in Site Productivity for Oak in Southern Poland

Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 209
Author(s):  
Luiza Tymińska-Czabańska ◽  
Jarosław Socha ◽  
Marek Maj ◽  
Dominika Cywicka ◽  
Xo Viet Hoang Duong
Keyword(s):  
Nitrogen Deposition ◽  
Management Practices ◽  
Additive Model ◽  
Climatic Conditions ◽  
Environmental Indicators ◽  
Environmental Drivers ◽  
Site Productivity ◽  
Site Factors ◽  
Wide Range ◽  
Si Model

Site productivity provides critical information for forest management practices and is a fundamental measure in forestry. It is determined using site index (SI) models, which are developed using two primary groups of methods, namely, phytocentric (plant-based) or geocentric (earth-based). Geocentric methods allow for direct site growth modelling, in which the SI is predicted using multiple environmental indicators. However, changes in non-static site factors—particularly nitrogen deposition and rising CO2 concentration—lead to an increase in site productivity, which may be visible as an age trend in the SI. In this study, we developed a geocentric SI model for oak. For the development of the SI model, we used data from 150 sample plots, representing a wide range of local topographic and site conditions. A generalized additive model was used to model site productivity. We found that the oak SI depended predominantly on physicochemical soil properties—mainly nitrogen, carbon, sand, and clay content. Additionally, the oak SI value was found to be slightly shaped by the topography, especially by altitude above sea level, and topographic position. We also detected a significant relationship between the SI and the age of oak stands, indicating the long-term increasing site productivity for oak, most likely caused by nitrogen deposition and changes in climatic conditions. The developed geocentric site productivity model for oak explained 77.2% of the SI variation.

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