Experimental natural disturbance-based silviculture systems maintain mature forest bird assemblage long-term in Maine (USA)
Forest Ecology and Management, ISSN: 0378-1127, Vol: 528, Page: 120630
2023
- 3Citations
- 8Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Natural disturbance-based silvicultural systems are forestry approaches that emulate ecological patterns and processes and are assumed to accommodate native bird assemblages better than conventional alternatives. The Acadian Forest Ecosystem Research Program (AFERP) represents the longest-running experimental application of expanding gap approaches to ecological forestry in the northeastern US. This project assessed long-term ecological effects of two expanding gap silvicultural systems (irregular expanding-group shelterwood with reserves and expanding-group selection with reserves) as indicated by the abundance, diversity, and composition of the bird assemblage associated with mature forest conditions. Birds were surveyed using a territory mapping method during three periods: pre-harvest, immediately after initial gap creation, and twenty-five years later after the third harvest entry. Declines in bird abundance and diversity occurred in all treatments and paralleled declines in abundance observed at regional scales, suggesting that treatments did not cause declines. Species-specific responses varied, but 65% were similar to regional population changes. Assemblage similarity among treatments was stable through time. The natural disturbance-based silvicultural systems studied did not disrupt the mature forest bird assemblage following three harvest entries despite declines in bird abundance and two measures of diversity across all treatments. Minor changes in the structure of the bird assemblages were noted, which corresponded to habitat elements associated with the gap harvests. Natural disturbance-based approaches to forest management have broad potential to meet landowner objectives while minimizing negative ecological impacts on mature forest ecosystems.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0378112722006247; http://dx.doi.org/10.1016/j.foreco.2022.120630; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85141778423&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0378112722006247; https://dx.doi.org/10.1016/j.foreco.2022.120630
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know