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Woodland expansion and sustainable forest management are key features of forest policy in the UK.
We present a methodological approach for identification and mapping of important structural and environmental features of forest stands.
Models that capture such essential features of forest dynamics are indispensable for educational purposes, in setting reference conditions and in developing methods in forest conservation, restoration and ecosystem management.
We assessed the relationship between a pool of woodland indicators and features of forest fragments (area, isolation, shape), and we evaluated whether ecological thresholds might provide guidelines for conservation.
Therefore, conceptual models, which are able to capture and demonstrate the essential features of forest dynamics, are indispensable for educational purposes, in setting goals and developing methods of forest conservation, restoration and ecosystem-based management (Bergeron et al. 2002; Kuuluvainen 2009; Kuuluvainen et al. 2015).
Because the spectral and temporal song features of forest weavers are learned during pair formation [16], [17] these conclusions concern both, mechanisms of song production and of learning in which HVC and RA are involved for review: [28].
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The process involved a formal welcome followed by an explanation of the purpose of the workshop and two exercises: This exercise focussed participant children on significant features of forests and on the activities that take place in local forests.
Structural features of forests can serve as useful indicators of forest condition and have the potential to be assessed with remotely sensed imagery, which can provide quantitative information on forest ecosystems at high temporal and spatial resolutions.
Existing inventories can provide such technical features of forests in developed countries.
The understory is a critical feature of forest ecosystems, which affects energy flow and nutrient cycling, biodiversity and regeneration capacity (Gilliam 2007).
In addition, the geometrical fractal features of the forest and non-forest patches in the Chapare region strongly depend on the resolution of images used in the analysis.
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