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秘鲁亚马孙地区的森林干扰与恢复。

Forest disturbance and recovery in Peruvian Amazonia.

机构信息

Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, The Netherlands.

Plant Production Systems Group, Wageningen University & Research, Wageningen, The Netherlands.

出版信息

Glob Chang Biol. 2023 Jul;29(13):3601-3621. doi: 10.1111/gcb.16695. Epub 2023 Apr 13.

Abstract

Amazonian forests function as biomass and biodiversity reservoirs, contributing to climate change mitigation. While they continuously experience disturbance, the effect that disturbances have on biomass and biodiversity over time has not yet been assessed at a large scale. Here, we evaluate the degree of recent forest disturbance in Peruvian Amazonia and the effects that disturbance, environmental conditions and human use have on biomass and biodiversity in disturbed forests. We integrate tree-level data on aboveground biomass (AGB) and species richness from 1840 forest plots from Peru's National Forest Inventory with remotely sensed monitoring of forest change dynamics, based on disturbances detected from Landsat-derived Normalized Difference Moisture Index time series. Our results show a clear negative effect of disturbance intensity tree species richness. This effect was also observed on AGB and species richness recovery values towards undisturbed levels, as well as on the recovery of species composition towards undisturbed levels. Time since disturbance had a larger effect on AGB than on species richness. While time since disturbance has a positive effect on AGB, unexpectedly we found a small negative effect of time since disturbance on species richness. We estimate that roughly 15% of Peruvian Amazonian forests have experienced disturbance at least once since 1984, and that, following disturbance, have been increasing in AGB at a rate of 4.7 Mg ha  year during the first 20 years. Furthermore, the positive effect of surrounding forest cover was evident for both AGB and its recovery towards undisturbed levels, as well as for species richness. There was a negative effect of forest accessibility on the recovery of species composition towards undisturbed levels. Moving forward, we recommend that forest-based climate change mitigation endeavours consider forest disturbance through the integration of forest inventory data with remote sensing methods.

摘要

亚马孙森林是生物量和生物多样性的储存库,有助于缓解气候变化。尽管它们不断受到干扰,但干扰对生物量和生物多样性随时间的影响尚未在大规模上进行评估。在这里,我们评估了秘鲁亚马孙地区最近森林干扰的程度,以及干扰、环境条件和人类利用对干扰森林生物量和生物多样性的影响。我们将来自秘鲁国家森林清查的 1840 个森林样地的地上生物量(AGB)和物种丰富度的树木级数据与基于 Landsat 衍生的归一化差异湿度指数时间序列检测到的森林变化动态的遥感监测相结合。我们的结果表明,干扰强度与树种丰富度呈明显负相关。这种效应也观察到在 AGB 和物种丰富度恢复值朝向未受干扰的水平,以及在物种组成恢复到未受干扰的水平。干扰发生后的时间对 AGB 的影响大于对物种丰富度的影响。虽然干扰发生后的时间对 AGB 有积极的影响,但出乎意料的是,我们发现干扰发生后的时间对物种丰富度有一个小的负面影响。我们估计,自 1984 年以来,秘鲁亚马孙地区大约有 15%的森林至少受到过一次干扰,并且在最初的 20 年内,干扰后的 AGB 以每年 4.7Mg ha 的速度增加。此外,周围森林覆盖对 AGB 及其向未受干扰水平的恢复以及物种丰富度都有积极的影响。森林可达性对向未受干扰水平的物种组成恢复有负面影响。展望未来,我们建议森林为基础的缓解气候变化的努力应通过将森林清查数据与遥感方法相结合来考虑森林干扰。

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