Land-use history, forest conversion, and soil organic carbon in pine plantations and native forests of south eastern Australia
Land-use history, forest conversion, and soil organic carbon in pine plantations and native forests of south eastern Australia
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DOI：
10.1016/j.geoderma.2006.09.002
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发表时间：
2007-01-15
期刊：
影响因子：
6.1
通讯作者：
Bennett, Lauren T.
中科院分区：
文献类型：
--
作者：
Kasel, Sabine;Bennett, Lauren T.
土地利用历史——以前土地利用的数量、类型和持续时间——与土地利用对土壤碳的影响的许多问题有关，但很少被报道。我们研究了土地利用历史变量的重要性，以及地形和土壤变量，对土壤C在一系列森林类型-原生林，松树人工林，次生林和恢复林-在澳大利亚东南部的三个不同的位置。我们的比较包括将外来松树人工林转变为原生阔叶林。利用巢式方差分析，我们发现桉树为主的植被和松树人工林在每个地点（0-10 cm深度）的土壤C浓度指数（总C、微生物生物量C、K2SO4-C）和C含量差异不大。然而，计划对比表明，土壤C含量下降30%，原生林转化为37年松树人工林。相反的土地利用变化——松树人工林到原生阔叶林——与土壤C浓度和含量在一个地点（40%，12-13年）下降有关，而在另一个地点（7年）没有可检测到的变化。这种新型土地利用变化对土壤C的不同影响可能是由于潜在生产力、针叶树种类和人工林年龄的差异。我们使用相关系数和一般线性模型来确定广泛适用的变量，以预测局部尺度的土壤C浓度和含量(
Land-use history - the number, type, and duration of previous land uses - is relevant to many questions regarding land-use effects on soil carbon, but is infrequently reported. We examine the importance of land-use history variables, as well as topographic and edaphic variables, on soil C in a range of forest types - native forest, pine plantations, secondary forest and rehabilitated forest - at three contrasting locations in south eastern Australia. Our comparisons include a novel forest conversion of exotic pine plantations to native, broadleaf forest.Using nested ANOVAs, we detected few differences in soil C concentration indices (total C, microbial biomass C, K2SO4-C) and C content among eucalypt-dominated vegetation and pine plantations within each location (0-10 cm depth). However, planned contrasts indicated a 30% decrease in soil C content with conversion of native forest to pine plantation of age 37 years. The reverse land-use change - pine plantation to native, broadleaf forest - was associated with a decrease in soil C concentration and content at one location (40%; age 12-13 years) and no detectable changes at another (to age 7 years). Variable effect between locations of this novel land-use change on soil C could be due to differences in potential productivity, conifer species, and plantation age.We used correlation coefficients and general linear models to identify widely applicable variables for predicting soil C concentration and content at local scales (