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| Binkley, Daniel; Colorado Forest Restoration Institute; Binkley@WarnerCNR.colostate.edu; Sisk, Tom; Northern Arizona University, Environmental Sciences; ForestERA; Thomas.Sisk@nau.edu; Chambers, Carol; Northern Arizona University, School of Forestry; Carol.Chambers@nau.edu; Springer, Judy; Ecological Restoration Institute; judith.springer@nau.edu; Block, William; U.S. Forest Service Rocky Mountain Research Station; wblock@fs.fed.us. |
| Classic ecological concepts and forestry language regarding old growth are not well suited to frequent-fire landscapes. In frequent-fire, old-growth landscapes, there is a symbiotic relationship between the trees, the understory graminoids, and fire that results in a healthy ecosystem. Patches of old growth interspersed with younger growth and open, grassy areas provide a wide variety of habitats for animals, and have a higher level of biodiversity. Fire suppression is detrimental to these forests, and eventually destroys all old growth. The reintroduction of fire into degraded frequent-fire, old-growth forests, accompanied by appropriate thinning, can restore a balance to these ecosystems. Several areas require further research and study: 1) the ability... |
| Tipo: Peer-Reviewed article |
Palavras-chave: Ecological processes; Evolutionary adaptations; Historic range of variation (HRV); Human values; Knowledge gaps; Resilience; Understory vegetation. |
| Ano: 2007 |
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| Melo,Alessandra Morais; Reis,Cristiano Rodrigues; Martins,Bruno Ferraz; Penido,Tamires Mousslech Andrade; Rodriguez,Luiz Carlos Estraviz; Gorgens,Eric Bastos. |
| ABSTRACT In eucalyptus plantations, the presence of understory increases the risk of fires, acts as an obstacle to forest operations, and leads to yield losses due to competition. The objective of this study was to develop an approach to discriminate the presence or absence of understory in eucalyptus plantations based on airborne laser scanning surveys. The bimodal canopy height profile was modeled by two Weibull density functions: one to model the canopy, and other to model the understory. The parameters used as predictor in the logistic model successfully discriminated the presence or absence of understory. The logistic model composed by ℽ canopy, ℽ understory, and ℽ understory showed higher values of accuracy (0.96) and kappa (0.92), which means an... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: LiDAR; Remote sensing; Weed control; Understory vegetation. |
| Ano: 2021 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000101001 |
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