Andrés Baietto, Andrés Hirigoyen, Jorge Hernández, Amabelia del Pino
{"title":"基于气候变量和大叶桉(Eucalyptus grandis Hill ex Maiden)和欧洲赤松(Pinus taeda L.)林分养分回报的落叶生产模型","authors":"Andrés Baietto, Andrés Hirigoyen, Jorge Hernández, Amabelia del Pino","doi":"10.1007/s11676-024-01706-w","DOIUrl":null,"url":null,"abstract":"<p>Native grasslands in the Pampas of South America are increasingly being replaced by <i>Eucalyptus</i> and <i>Pinus</i> stands. The short rotation regimes used for the stands require high nutrient levels, with litterfall being a major source of nutrient return. To model the litterfall production using climatic variables and assess the nutrient return in 14-year-old <i>Eucalyptus</i> <i>grandis</i> and <i>Pinus</i> <i>taeda</i> stands, we measured litter production over 2 years, using conical litter traps, and monitored climatic variables. Mean temperature, accumulated precipitation, and mean maximum vapor pressure deficit at the seasonal level influenced litterfall production by <i>E.</i> <i>grandis</i>; seasonal accumulated precipitation and mean maximum temperature affected litterfall by <i>P.</i> <i>taeda</i>. The regression tree modeling based on these climatic variables had great accuracy and predictive power for <i>E.</i> <i>grandis</i> (<i>N</i> = 33; MAE (mean absolute error) = 0.65; RMSE (root mean square error) = 0.91; <i>R</i><sup>2</sup> = 0.71) and <i>P.</i> <i>taeda</i> (<i>N</i> = 108; MAE = 1.50; RMSE = 1.59; <i>R</i><sup>2</sup> = 0.72). The nutrient return followed a similar pattern to litterfall deposition, as well as the order of importance of macronutrients (<i>E.</i> <i>grandis</i>: Ca > N > K > Mg > P; <i>P.</i> <i>taeda</i>: N > Ca > K > Mg > P) and micronutrients (<i>E.</i> <i>grandis</i> and <i>P.</i> <i>taeda</i>: Mn > Fe > Zn > Cu) in both species. This study constitutes a first approximation of factors that affect litterfall and nutrient return in these systems.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Litterfall production modeling based on climatic variables and nutrient return from stands of Eucalyptus grandis Hill ex Maiden and Pinus taeda L.\",\"authors\":\"Andrés Baietto, Andrés Hirigoyen, Jorge Hernández, Amabelia del Pino\",\"doi\":\"10.1007/s11676-024-01706-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Native grasslands in the Pampas of South America are increasingly being replaced by <i>Eucalyptus</i> and <i>Pinus</i> stands. The short rotation regimes used for the stands require high nutrient levels, with litterfall being a major source of nutrient return. To model the litterfall production using climatic variables and assess the nutrient return in 14-year-old <i>Eucalyptus</i> <i>grandis</i> and <i>Pinus</i> <i>taeda</i> stands, we measured litter production over 2 years, using conical litter traps, and monitored climatic variables. Mean temperature, accumulated precipitation, and mean maximum vapor pressure deficit at the seasonal level influenced litterfall production by <i>E.</i> <i>grandis</i>; seasonal accumulated precipitation and mean maximum temperature affected litterfall by <i>P.</i> <i>taeda</i>. The regression tree modeling based on these climatic variables had great accuracy and predictive power for <i>E.</i> <i>grandis</i> (<i>N</i> = 33; MAE (mean absolute error) = 0.65; RMSE (root mean square error) = 0.91; <i>R</i><sup>2</sup> = 0.71) and <i>P.</i> <i>taeda</i> (<i>N</i> = 108; MAE = 1.50; RMSE = 1.59; <i>R</i><sup>2</sup> = 0.72). The nutrient return followed a similar pattern to litterfall deposition, as well as the order of importance of macronutrients (<i>E.</i> <i>grandis</i>: Ca > N > K > Mg > P; <i>P.</i> <i>taeda</i>: N > Ca > K > Mg > P) and micronutrients (<i>E.</i> <i>grandis</i> and <i>P.</i> <i>taeda</i>: Mn > Fe > Zn > Cu) in both species. This study constitutes a first approximation of factors that affect litterfall and nutrient return in these systems.</p>\",\"PeriodicalId\":15830,\"journal\":{\"name\":\"Journal of Forestry Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Forestry Research\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1007/s11676-024-01706-w\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Forestry Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s11676-024-01706-w","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
摘要
南美洲潘帕斯的原生草地正日益被桉树和松树林所取代。桉树和松树林采用的短期轮伐制度需要较高的养分水平,而落叶是养分回流的主要来源。为了利用气候变量建立落叶产生模型,并评估树龄为 14 年的桉树和欧洲赤松林的养分回流情况,我们使用锥形落叶收集器测量了两年的落叶产生情况,并监测了气候变量。平均气温、累积降水量和季节性平均最大水汽压差影响了桉树的落叶量;季节性累积降水量和平均最高气温影响了泰达松的落叶量。根据这些气候变量建立的回归树模型对大叶榕(N = 33;MAE(平均绝对误差)= 0.65;RMSE(均方根误差)= 0.91;R2 = 0.71)和泰达红杉(N = 108;MAE = 1.50;RMSE = 1.59;R2 = 0.72)具有很高的准确性和预测能力。养分的回归与落叶沉积的模式相似,大量养分的重要性顺序也相似(E. grandis:Ca > N > K > Mg > P;P. taeda:N > Ca > K > Mg > P:ta:N > Ca > K > Mg > P)和微量营养元素(E. grandis 和 P. taeda:Mn > Fe > Zn > Cu)的重要性。这项研究是对这些系统中影响落叶量和养分回流的因素的初步了解。
Litterfall production modeling based on climatic variables and nutrient return from stands of Eucalyptus grandis Hill ex Maiden and Pinus taeda L.
Native grasslands in the Pampas of South America are increasingly being replaced by Eucalyptus and Pinus stands. The short rotation regimes used for the stands require high nutrient levels, with litterfall being a major source of nutrient return. To model the litterfall production using climatic variables and assess the nutrient return in 14-year-old Eucalyptusgrandis and Pinustaeda stands, we measured litter production over 2 years, using conical litter traps, and monitored climatic variables. Mean temperature, accumulated precipitation, and mean maximum vapor pressure deficit at the seasonal level influenced litterfall production by E.grandis; seasonal accumulated precipitation and mean maximum temperature affected litterfall by P.taeda. The regression tree modeling based on these climatic variables had great accuracy and predictive power for E.grandis (N = 33; MAE (mean absolute error) = 0.65; RMSE (root mean square error) = 0.91; R2 = 0.71) and P.taeda (N = 108; MAE = 1.50; RMSE = 1.59; R2 = 0.72). The nutrient return followed a similar pattern to litterfall deposition, as well as the order of importance of macronutrients (E.grandis: Ca > N > K > Mg > P; P.taeda: N > Ca > K > Mg > P) and micronutrients (E.grandis and P.taeda: Mn > Fe > Zn > Cu) in both species. This study constitutes a first approximation of factors that affect litterfall and nutrient return in these systems.
期刊介绍:
The Journal of Forestry Research (JFR), founded in 1990, is a peer-reviewed quarterly journal in English. JFR has rapidly emerged as an international journal published by Northeast Forestry University and Ecological Society of China in collaboration with Springer Verlag. The journal publishes scientific articles related to forestry for a broad range of international scientists, forest managers and practitioners.The scope of the journal covers the following five thematic categories and 20 subjects:
Basic Science of Forestry,
Forest biometrics,
Forest soils,
Forest hydrology,
Tree physiology,
Forest biomass, carbon, and bioenergy,
Forest biotechnology and molecular biology,
Forest Ecology,
Forest ecology,
Forest ecological services,
Restoration ecology,
Forest adaptation to climate change,
Wildlife ecology and management,
Silviculture and Forest Management,
Forest genetics and tree breeding,
Silviculture,
Forest RS, GIS, and modeling,
Forest management,
Forest Protection,
Forest entomology and pathology,
Forest fire,
Forest resources conservation,
Forest health monitoring and assessment,
Wood Science and Technology,
Wood Science and Technology.