Conflicts between Perception and Reality in the Management of Alien Species in Forest Ecosystems: A Norwegian Case Study

The aim of this paper is to outline current foundations for sustainable landscape management in the Vilhelmina Model Forest, northwest Sweden. A case study revealed that the remaining patches of undisturbed or less disturbed boreal forest ecosystems comprise multiple values and, thus, constitute the basis for landscape planning. By identifying these patches, it is also possible to construct a spatial planning infrastructure for implementing sustainable management and land use. A more comprehensive toolbox needs to be developed, however, including monitoring and inventory schemes for relevant biophysical and socio-economic data, better temporal resolution for cause and effect analyses, and functioning scale-flexible planning and governance instruments.

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Quantifying ecological memory during forest succession: A case study from lower subtropical forest ecosystems in South China

Ecological Indicators ◽

10.1016/j.ecolind.2013.05.010 ◽

2013 ◽

Vol 34 ◽

pp. 192-203 ◽

Cited By ~ 16

Author(s):

Zhongyu Sun ◽

Hai Ren ◽

Valentin Schaefer ◽

Hongfang Lu ◽

Jun Wang ◽

...

Keyword(s):

South China ◽

Forest Ecosystems ◽

Forest Succession ◽

Subtropical Forest ◽

Ecological Memory

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Assessment of the erosion control function of forest ecosystems based on GIS: a case study in Zhangjiajie National Forest Park, China

International Journal of Sustainable Development & World Ecology ◽

10.1080/13504500903205022 ◽

2009 ◽

Vol 16 (5) ◽

pp. 356-361 ◽

Cited By ~ 8

Author(s):

Tongqian Zhao ◽

Bosu Yang ◽

Hua Zheng

Keyword(s):

Forest Ecosystems ◽

Control Function ◽

Erosion Control ◽

National Forest ◽

Forest Park

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Removing the Scaling Error Caused by Allometric Modelling in Forest Biomass Estimation at Large Scales

Forests ◽

10.3390/f10070602 ◽

2019 ◽

Vol 10 (7) ◽

pp. 602

Author(s):

Carl Zhou ◽

Xiaolu Zhou

Keyword(s):

Large Scale ◽

Forest Ecosystems ◽

Forest Biomass ◽

Field Measurements ◽

Allometric Equation ◽

Biomass Estimation ◽

Allometric Relationships ◽

Data Errors ◽

Pinus Yunnanensis

To estimate the responses of forest ecosystems, most relationships in biological systems are described by allometric relationships, the parameters of which are determined based on field measurements. The use of existing observed data errors may occur during the scaling of fine-scale relationships to describe ecosystem properties at a larger ecosystem scale. Here, we analyzed the scaling error in the estimation of forest ecosystem biomass based on the measurement of plots (biomass or volume per hectare) using an improved allometric equation with a scaling error compensator. The efficiency of the compensator on reducing the scaling error was tested by simulating the forest stand populations using pseudo-observation. Our experiments indicate that, on average, approximately 94.8% of the scaling error can be reduced, and for a case study, an overestimation of 3.6% can be removed in practice from a large-scale estimation for the biomass of Pinus yunnanensis Franch.

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