Literature DB >> 34343428

Biomass Production Potential in a River under Climate Change Scenarios.

Paulina Orlińska-Woźniak1, Ewa Szalińska2, Ewa Jakusik1, Damian Bojanowski2, Paweł Wilk1.   

Abstract

Excessive production of biomass, in times of intensification of agriculture and climate change, is again becoming one of the biggest environmental issues. Identification of sources and effects of this phenomenon in a river catchment in the space-time continuum has been supported by advanced environmental modules combined on a digital platform (Macromodel DNS/SWAT). This tool enabled the simulation of nutrient loads and chlorophyll "a" for the Nielba River catchment (central-western Poland) for the biomass production potential (defined here as a TN:TP ratio) analysis. Major differences have been observed between sections of the Nielba River with low biomass production in the upper part, controlled by TN:TP ratios over 65, and high chlorophyll "a" concentrations in the lower part, affected by biomass transport for the flow-through lakes. Under the long and short-term RCP4.5 and RCP8.5 climate change scenarios, this pattern will be emphasized. The obtained results showed that unfavorable biomass production potential will be maintained in the upper riverine sections due to a further increase in phosphorus loads induced by precipitation growth. Precipitation alone will increase biomass production, while precipitation combined with temperature can even enhance this production in the existing hot spots.

Entities:  

Keywords:  Macromodel DNS/SWAT; biomass production potential; chlorophyll “a”; river basin

Year:  2021        PMID: 34343428     DOI: 10.1021/acs.est.1c03211

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  1 in total

1.  Estimation of nutrient loads with the use of mass-balance and modelling approaches on the Wełna River catchment example (central Poland).

Authors:  Damian Bojanowski; Paulina Orlińska-Woźniak; Paweł Wilk; Ewa Szalińska
Journal:  Sci Rep       Date:  2022-07-29       Impact factor: 4.996

  1 in total

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