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干旱和氮沉降对欧洲赤松(Pinus sylvestris L.)损害的空间滞后效应。

Spatial lag effect of aridity and nitrogen deposition on Scots pine (Pinus sylvestris L.) damage.

机构信息

Mendel University, Faculty of Forestry and Wood Technology, Department of Geology and Pedology, Zemědělská 3, CZ-613 00, Brno, Czech Republic; Global Change Research Institute CAS, Belidla 986/4a, CZ-603 00, Brno, Czech Republic.

Global Change Research Institute CAS, Belidla 986/4a, CZ-603 00, Brno, Czech Republic; Silesian University in Opava, Institute of Physics in Opava, Bezručovo náměstí 1150/13, CZ-746 01, Opava, Czech Republic; Centre for Environment and Land Assessment - Ekotoxa, Otická 37, CZ-746 01, Opava, Czech Republic.

出版信息

Environ Pollut. 2020 Oct;265(Pt B):114352. doi: 10.1016/j.envpol.2020.114352. Epub 2020 Apr 3.

Abstract

Scots pine (Pinus sylvestris L.) is a widespread tolerant forest tree-species; however, its adaptability to environmental change differs among sites with various buffering capacity. In this study, we compared the spatial effects of aridity index (AI) and nitrogen deposition (ND) on biomass density in natural and man-made pine stands of differing soil fertility using geographically weighted multiple lag regression. Soil fertility was defined using soil series as zonal trophic (27.9%), acidic (48.2%), gleyed (15.2%) and as azonal exposed (2.5%), maple (2.4%), ash (0.8%), wet (2.1%) and peat (0.9%) under pine stands in the Czech Republic (Central Europe; 4290.5 km; 130-1298 m a.s.l.). Annual AI and ND in every pine stand were estimated by intersection between raster and vector from 1 × 1 km grid for years 2000, 2003, 2007 and 2010 of severe non-specific forest damage spread. Biomass density was obtained from a MODIS 250 × 250 m raster using the enhanced vegetation index (EVI) for years 2000-2015, with a decrease in EVI indicating non-specific damage. Environmental change was assessed by comparing predictor values at EVI time t and t+λ. Non-specific damage was registered over 51.9% of total forest area. Less than 8.8% of damaged stands were natural and the rest (91.2%) of damaged stands were man-made. Pure pine stands were more damaged than mixed. The ND effect prevailed up to 2007, while AI dominated later. Temporal increasing ND effect under AI effectiveness led to the most significant pine stand damage in 2008 and 2014. Predictors from 2000 to 2007 afflicted 58.5% of non-specifically damaged stands at R 0.09-0.76 (median 0.38), but from 2000 to 2010 afflicted 57.1% of the stands at R 0.16-0.75 (median 0.40). The most damaged stands occurred on acidic sites. Mixed forest and sustainable management on natural sites seem as effective remediation reducing damage by ND.

摘要

欧洲赤松(Pinus sylvestris L.)是一种广泛分布的适应性强的森林树种,但它对环境变化的适应能力因具有不同缓冲能力的地点而异。在这项研究中,我们使用地理加权多重滞后回归比较了干旱指数(AI)和氮沉降(ND)对不同土壤肥力的天然和人工松林生物量密度的空间影响。土壤肥力是根据土壤系列定义的,在捷克共和国(中欧;4290.5 平方公里;海拔 130-1298 米)的松树下,土壤系列为地带性营养(27.9%)、酸性(48.2%)、潜育化(15.2%)和非地带性暴露(2.5%)、枫木(2.4%)、灰烬(0.8%)、湿(2.1%)和泥炭(0.9%)。每个松林的年 AI 和 ND 通过栅格与向量的交叉估算,网格为 1x1km,年份为 2000、2003、2007 和 2010 年,用于传播严重的非特异性森林损害。生物量密度是通过使用增强植被指数(EVI)从 2000 年至 2015 年的 MODIS 250x250m 栅格中获得的,EVI 的下降表明发生了非特异性损害。通过比较 EVI 时间 t 和 t+λ 的预测值来评估环境变化。51.9%的森林总面积记录了非特异性损害。受损林分中不到 8.8%为天然林,其余(91.2%)为人工林。纯松林比混合林受损更严重。ND 效应在 2007 年之前占主导地位,而 AI 效应在之后占主导地位。在 AI 有效性下,ND 效应的时间增加导致 2008 年和 2014 年松林受到最严重的损害。2000 年至 2007 年的预测因子在 R 0.09-0.76(中位数 0.38)时影响了 58.5%的非特异性受损林分,但在 2000 年至 2010 年时影响了 57.1%的林分在 R 0.16-0.75(中位数 0.40)。受损最严重的林分发生在酸性地点。混合林和天然林的可持续管理似乎是减少 ND 损害的有效补救措施。

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