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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F20%3A43918070" target="_blank" >RIV/62156489:43410/20:43918070 - isvavai.cz</a>

  • Alternative codes found

    RIV/86652079:_____/20:00525526 RIV/00216224:14230/20:00117355 RIV/47813059:19630/20:A0000066 RIV/00027073:_____/20:N0000059

  • Result on the web

    <a href="https://doi.org/10.1016/j.envpol.2020.114352" target="_blank" >https://doi.org/10.1016/j.envpol.2020.114352</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.envpol.2020.114352" target="_blank" >10.1016/j.envpol.2020.114352</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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 km2; 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+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 R2 0.09-0.76 (median 0.38), but from 2000 to 2010 afflicted 57.1% of the stands at R2 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40103 - Fishery

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Environmental Pollution

  • ISSN

    0269-7491

  • e-ISSN

  • Volume of the periodical

    265

  • Issue of the periodical within the volume

    October

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    114352

  • UT code for WoS article

    000564558300016

  • EID of the result in the Scopus database

    2-s2.0-85087353045