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干旱频发林区用于牧场的地上潜在生物量。

Potential aboveground biomass in drought-prone forest used for rangeland pastoralism.

机构信息

Queensland Herbarium, Environmental Protection Agency, Mt Coot-tha Road, Toowong, Queensland 4066, Australia.

出版信息

Ecol Appl. 2012 Apr;22(3):894-908. doi: 10.1890/11-1123.1.

Abstract

The restoration of cleared dry forest represents an important opportunity to sequester atmospheric carbon. In order to account for this potential, the influences of climate, soils, and disturbance need to be deciphered. A data set spanning a region defined the aboveground biomass of mulga (Acacia aneura) dry forest and was analyzed in relation to climate and soil variables using a Bayesian model averaging procedure. Mean annual rainfall had an overwhelmingly strong positive effect, with mean maximum temperature (negative) and soil depth (positive) also important. The data were collected after a recent drought, and the amount of recent tree mortality was weakly positively related to a measure of three-year rainfall deficit, and maximum temperature (positive), soil depth (negative), and coarse sand (negative). A grazing index represented by the distance of sites to watering points was not incorporated by the models. Stark management contrasts, including grazing exclosures, can represent a substantial part of the variance in the model predicting biomass, but the impact of management was unpredictable and was insignificant in the regional data set. There was no evidence of density-dependent effects on tree mortality. Climate change scenarios represented by the coincidence of historical extreme rainfall deficit with extreme temperature suggest mortality of 30.1% of aboveground biomass, compared to 21.6% after the recent (2003-2007) drought. Projections for recovery of forest using a mapping base of cleared areas revealed that the greatest opportunities for restoration of aboveground biomass are in the higher-rainfall areas, where biomass accumulation will be greatest and droughts are less intense. These areas are probably the most productive for rangeland pastoralism, and the trade-off between pastoral production and carbon sequestration will be determined by market forces and carbon-trading rules.

摘要

清除干旱森林的恢复代表了封存大气碳的重要机会。为了考虑到这种潜力,需要阐明气候、土壤和干扰的影响。一个跨越特定区域的数据集涵盖了金合欢(Acacia aneura)干旱森林的地上生物量,并使用贝叶斯模型平均程序对其与气候和土壤变量的关系进行了分析。年平均降雨量具有压倒性的积极影响,平均最高温度(负)和土壤深度(正)也很重要。这些数据是在最近一次干旱后收集的,最近树木死亡率的数量与三年降雨不足的衡量标准呈弱正相关,与最高温度(正)、土壤深度(负)和粗砂(负)也呈弱正相关。模型中没有纳入由放牧指数代表的站点与饮水点之间的距离。包括放牧围栏在内的明显管理对比,可以代表预测生物量模型中的很大一部分方差,但管理的影响是不可预测的,在区域数据集上并不显著。没有证据表明树木死亡率存在密度依赖效应。历史极端降雨不足与极端温度同时出现的气候变化情景表明,地上生物量的 30.1%将死亡,而最近(2003-2007 年)干旱后将有 21.6%死亡。使用已清除区域的绘图基础对森林恢复进行预测,结果表明,在降雨量较高的地区,地上生物量恢复的机会最大,因为这些地区的生物量积累将最大,干旱也不太严重。这些地区可能是畜牧业最具生产力的地区,畜牧业生产和碳封存之间的权衡将由市场力量和碳交易规则决定。

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