• Title/Summary/Keyword: stand level survival prediction model

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Effects of Hardwood Interspecific Competition on Stand Level Survival Prediction Model in Unthinned Loblolly Pine Plantations (테에다소나무 조림지(造林地)에서 활엽수(闊葉樹)와의 종간경쟁(種間競爭)이 임분수준(林分水準) 생존(生存) 예측모형(豫測模型)에 미치는 영향(影響))

  • Lee, Young-Jin;Hong, Sung-Cheon
    • Journal of Korean Society of Forest Science
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    • v.89 no.1
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    • pp.49-54
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    • 2000
  • Stand level survival prediction model was developed that incorporated the incidence of fusiform rust(Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme) and allowed the transition of trees from an uninfected stage to an infected stage. The influence of hardwood interspecific competition on the survival of unthinned planted stands of loblolly pine (Pinus taeda L.) was analyzed by using of information from twelve years of tracking a set of permanent plots representing a broad range of plantation parameters. Significant interaction effects between site index and hardwood basal area per acre were revealed in the survival model. Survival of the planted pines decreased with increasing density of hardwood trees per acre and site index as the productivity rating of the forest land. The effects of hardwood trees interspecific competition on loblolly pine tended to show a negative effect on predicted future number of planted pine trees.

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Whole Stand Survival Prediction Model in Slash Pine Plantations Infected with Fusiform Rust (수병(銹病)에 감염(感染)된 슬래쉬소나무 조림지(造林地)에 대한 임분단위(林分單位)의 생존 (生存) 예측모형(豫測模型))

  • Lee, Young-Jin;Hong, Sung-Cheon
    • Journal of Korean Society of Forest Science
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    • v.89 no.4
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    • pp.480-487
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    • 2000
  • Repeated measurement of 472 permanent subplots in slash pine (Pinus elliottii Engelm.) plantations were used to develop survival prediction equations for predicting future number of planted slash pine trees. On the average, about 40 percent of the slash pines in the experimental sites had a stem cankers due to fusiform rust (Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme) incidence. A stand level survival prediction model was developed that incorporated the incidence of fusiform rust and allowed the transition paths of trees from an uninfected stage to an infected stage. Predicted total surviving number of trees is obtained by adding together the predicted number of infected and uninfected trees. The influence of natural hardwood density and site quality on slash pine survivals tended to show a negative effects on future survivals.

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