Forest ecosystem dynamics: linking forest succession, soil process and radiation models

1993 ◽  
Vol 65 (3-4) ◽  
pp. 199-219 ◽  
Author(s):  
E.R. Levine ◽  
K.J. Ranson ◽  
J.A. Smith ◽  
D.L. Williams ◽  
R.G. Knox ◽  
...  
Keyword(s):  
Forest Ecosystem ◽  
Forest Succession ◽  
Ecosystem Dynamics ◽  
Soil Process

The Lake Duparquet Research and Teaching Forest: Building a foundation for ecosystem management

1999 ◽  
Vol 75 (3) ◽  
pp. 389-393 ◽  
Author(s):  
Brian Harvey
Keyword(s):  
Ecosystem Management ◽  
Forest Ecosystem ◽  
Research Program ◽  
Scientific Basis ◽  
Ecosystem Dynamics ◽  
Fire Disturbance ◽  
Research And Teaching ◽  
Research Activities ◽  
Boreal Shield ◽  
Natural Dynamics

The Lake Duparquet Research and Teaching Forest is situated in northwestern Quebec in the Boreal Shield Ecozone. Managed by two constituents of the Université du Québec, in collaboration with two forest companies, Norbord and Tembec, the Lake Duparquet Forest has a strong research program focussed on natural forest ecosystem dynamics that provides the scientific basis for management and silvicultural trials recently begun in the Forest. A bibliographical review of research activities is presented. Keywords: boreal, mixedwood, natural dynamics, fire, disturbance, ecosystem management, silviculture

scholarly journals AEROSPACE MONITORING OF THE FOREST ECOSYSTEM DYNAMICS WITHIN THE TERRITORY OF VRACHANSKI BALKAN NATURE PARK

2018 ◽  
pp. 41-46
Author(s):  
Adlin Dancheva
Keyword(s):  
Remote Sensing ◽  
Forest Ecosystem ◽  
Vegetation Index ◽  
Forest Ecosystems ◽  
Normalized Difference Vegetation Index ◽  
Remote Sensing And Gis ◽  
Ecosystem Dynamics ◽  
Anthropogenic Pressure ◽  
Water Index ◽  
Nature Park

In this paper the application of Remote Sensing and GIS as a means of performing aero – space monitoring of forest ecosystems dynamics is being considered. The purpose of this work is to create a model for monitoring the dynamic of forest ecosystems, based on Remote Sensing and GIS. The results of eco-monitoring can be used to update plans and policies for forest ecosystem management. The territory of Vrachanski Balkan Nature park was chosen as the subject of research as there is a certain anthropogenic pressure there. The results presented are obtained by spatial-time analysis of certain aerospace data indices. To carry out the study optical satellite images were used, on the basics of which three indices were calculated: Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Difference Greenness Index (NDGI). A comparative analysis has been created and results of the degree of correlation between the different indices are presented, as well as indicators from the different test areas and related changes in the individual points in time. The results of the survey aim to assess the dynamics and condition of the forest vegetation on the territory of Vrachanski Balkan Nature park and can be utilised in activities related to monitoring, mapping and forest management.

scholarly journals Trophic Redundancy and Predator Size Class Structure Drive Differences in Kelp Forest Ecosystem Dynamics

2020 ◽  
Vol 101 (2) ◽  
Author(s):  
Jacob H. Eisaguirre ◽  
Joseph M. Eisaguirre ◽  
Kathryn Davis ◽  
Peter M. Carlson ◽  
Steven D. Gaines ◽  
...  
Keyword(s):  
Forest Ecosystem ◽  
Kelp Forest ◽  
Size Class ◽  
Ecosystem Dynamics ◽  
Class Structure ◽  
Predator Size

Forest ecosystem dynamics: a project for understanding northern ecosystems and their response to global change

1993 ◽  
Author(s):  
D. L. Williams ◽  
W. T. Lawrence ◽  
E. R. Levine ◽  
K. J. Ranson ◽  
R. G. Knox ◽  
...  
Keyword(s):  
Global Change ◽  
Forest Ecosystem ◽  
Ecosystem Dynamics

Interfacing forest succession and radar backscatter models for forest ecosystem studies

1995 ◽  
Author(s):  
K. Jon Ranson ◽  
Guoqing Sun ◽  
John F. Weishampel ◽  
Robert G. Knox
Keyword(s):  
Forest Ecosystem ◽  
Forest Succession ◽  
Radar Backscatter ◽  
Ecosystem Studies

scholarly journals Trophic redundancy and predator size class structure drive differences in kelp forest ecosystem dynamics

Ecology ◽  
2020 ◽  
Vol 101 (5) ◽  
Author(s):  
Jacob H. Eisaguirre ◽  
Joseph M. Eisaguirre ◽  
Kathryn Davis ◽  
Peter M. Carlson ◽  
Steven D. Gaines ◽  
...  
Keyword(s):  
Forest Ecosystem ◽  
Kelp Forest ◽  
Size Class ◽  
Ecosystem Dynamics ◽  
Class Structure ◽  
Predator Size

scholarly journals Northern Forest Ecosystem Dynamics Using Coupled Models and Remote Sensing

2001 ◽  
Vol 75 (2) ◽  
pp. 291-302 ◽  
Author(s):  
K.J Ranson ◽  
G Sun ◽  
R.G Knox ◽  
E.R Levine ◽  
J.F Weishampel ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Forest Ecosystem ◽  
Ecosystem Dynamics ◽  
Coupled Models ◽  
Northern Forest

The consequences of hierarchy for modeling in forest ecosystems

2000 ◽  
Vol 30 (12) ◽  
pp. 1837-1846 ◽  
Author(s):  
Andrew P Robinson ◽  
Alan R Ek
Keyword(s):  
Forest Ecosystem ◽  
Forest Ecosystems ◽  
Model Building ◽  
Hierarchical Structures ◽  
Ecosystem Dynamics ◽  
Model Construction ◽  
Ecosystem Models ◽  
Model Classification ◽  
New Strategies

An overview of forest ecosystem models in the context of hierarchies is presented, considering spatiophysical, mechanistic, temporal, usage, and range resolutions. We argue that models of forest ecosystem dynamics can be treated as inherently hierarchical structures of discrete submodels or modules. These submodels represent distinct but connected processes, such as growth, mortality, or regeneration. This approach has important ramifications for model building, fitting, criticism, and application. It provides new strategies for dealing with common modeling problems, such as component choice, as well as placing in context established modeling strategies. A system of categories that avoids popular and simplistic dichotomies is provided to assist in model classification. The need for more sophisticated techniques at each stage of model construction is demonstrated, and candidate solutions are suggested.

Boreal forest ecosystem dynamics. I. A new spatial model

2000 ◽  
Vol 30 (6) ◽  
pp. 998-1009 ◽  
Author(s):  
John Yarie
Keyword(s):  
Forest Ecosystem ◽  
Picea Glauca ◽  
Forest Growth ◽  
Ecosystem Dynamics ◽  
Spatial Context ◽  
Ecosystem Functions ◽  
Individual Tree ◽  
Microbial Efficiency ◽  
State Factor

Modeling the biology of forest ecosystems has been devoted to a combination of theoretical and empirical approaches representing the function of a forest ecosystem generally within an undefined spatial context. Moving to a large spatial context will require the use of theoretical representations of critical ecosystem functions that can be represented on an individual cell basis. A Spatial Alaskan Forest Ecosystem Dynamics (SAFED) model was developed that is based on the nitrogen productivity concept for forest growth, litter fall quality, and microbial efficiency for forest floor decomposition. Climate and ecosystem disturbances were handled as restricted stochastic processes. The restriction was based on known state-factor relationships. The state factors are used to describe a broad-scale classification of the landscape to define basic limitations for the randomly derived driving variables used in the model. The model has been programed as ARC/INFO macro language within the GRID package. The current version of the model has been verified as functional from an individual tree basis (1-m2 cell size) within an old-growth white spruce (Picea glauca (Moench) Voss) forest found in interior Alaska.

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