J 2020

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

SAMEC, Pavel, Miloš ZAPLETAL, Petr LUKES and Pavel ROTTER

Basic information

Original name

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

Authors

SAMEC, Pavel, Miloš ZAPLETAL (203 Czech Republic, belonging to the institution), Petr LUKES and Pavel ROTTER

Edition

Environmental Pollution, 2020, 0269-7491

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10500 1.5. Earth and related environmental sciences

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/47813059:19630/20:A0000066

Organization unit

Institute of physics in Opava

DOI

http://dx.doi.org/10.1016/j.envpol.2020.114352

UT WoS

000564558300016

Keywords in English

Pine forest; Forest decline; Environmental change; Geographically weighted regression

Tags

, FÚ2020, RIV21

Tags

International impact, Reviewed
Změněno: 19/4/2021 21:38, Mgr. Pavlína Jalůvková

Abstract

V originále

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(2); 130-1298 m a.s.l.). Annual AI and ND in every pine stand were estimated by intersection between raster and vector from 1 x 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 x 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+lambda. 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-2 0.09-0.76 (median 0.38), but from 2000 to 2010 afflicted 57.1% of the stands at R-2 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.
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