<p class="western" align="justify">Draining peatlands for forestry and agriculture has been a common practice in Nordic countries in the last century. In drained peatland forests, t<span lang="en-GB">rees </span><span lang="en-GB">a</span><span lang="en-GB">c</span><span lang="en-GB">t as carbon sink, while well-aerated peat soil is a source of carbon</span><span lang="en-GB">. </span><span lang="en-GB">Traditionally in even aged forestry all the trees are removed in clear-cut harvesting, whereas the continous cover forestry, with partial removal of a stand in selection cuttings, have been suggested to serve as climate wise option for peatlands</span><span lang="en-GB">.</span></p> <p class="western" align="justify">&#160;</p> <p class="western" align="justify"><span lang="en-GB">A p</span><span lang="en-GB">rocess-based model &#8216;Landscape De-Nitrification De-Composition&#8217; (LDNDC) </span><span lang="en-GB">was</span><span lang="en-GB"> used to simulate </span><span lang="en-GB">fluxes of matter and energy </span><span lang="en-GB">of </span><span lang="en-GB">a drained </span><span lang="en-GB">nutrient-rich </span><span lang="en-GB">peatland forest ecosystem in southern Finland. LDNDC utilizes several sub-models for physiology, biogeochemistry, hydrology and microclimate </span><span lang="en-GB">and </span><span lang="en-GB">it simulates ecosystem water, energy and carbon balances including methane balance </span><span lang="en-GB">along with vegetation structure development</span><span lang="en-GB">.</span><span lang="en-GB"> Multiple species can be simulated simultaneously as a mixed forest cohort, and contributions of the ground vegetation can be </span><span lang="en-GB">included.</span> <span lang="en-GB">Different management</span> <span lang="en-GB">methods</span><span lang="en-GB"> of the forestry industry, e.g clear cutting or selection cutting </span><span lang="en-GB">have</span><span lang="en-GB"> been simulated successfully.</span></p> <p class="western" align="justify">&#160;</p> <p class="western" align="justify"><span lang="en-GB">Local meterological data </span><span lang="en-GB">from 2010-2018</span><span lang="en-GB"> was used to drive the model and </span><span lang="en-GB">this data was cycled through several times to start the simulation run from 1969.</span> <span lang="en-GB">T</span><span lang="en-GB">he amount of carbon storage in the soil </span><span lang="en-GB">was set </span><span lang="en-GB">according to the</span> <span lang="en-GB">measurements at nutrient-rich peatlands</span><span lang="en-GB">. </span><span lang="en-GB">Three different simulation runs were made for </span><span lang="en-GB">a clear-cut or a selection cutting taking place in 2016 and a reference forest with no cuttin</span><span lang="en-GB">g</span><span lang="en-GB">. Pine was simulated as a dominant tree species </span><span lang="en-GB">prior to the management actions</span><span lang="en-GB"> along with spruce and birch as a secondary canopy and alpine meadows as ground vegetation. Eddy covariance and chamber measurements from both management and </span><span lang="en-GB">reference sites </span><span lang="en-GB">were</span><span lang="en-GB"> used to evaluate model performance</span><span lang="en-GB">. </span></p> <p class="western" align="justify">&#160;</p> <p class="western" align="justify"><span lang="en-GB">The m</span><span lang="en-GB">odel captured the net ecosystem exchange, gross primary production, terrestrial ecosystem respiration </span><span lang="en-GB">and methane fluxes </span><span lang="en-GB">well</span><span lang="en-GB">. </span><span lang="en-GB">The m</span><span lang="en-GB">odel also captured the changes in soil moisture and water-table </span><span lang="en-GB">level caused</span> <span lang="en-GB">by </span><span lang="en-GB">the applied forest</span> <span lang="en-GB">management</span> <span lang="en-GB">methods</span><span lang="en-GB">. Leaf area index (LAI) of the combined vegetation cohort represented the measured LAI quite well along with the growth of the individual </span><span lang="en-GB">species</span><span lang="en-GB">. Successful</span> <span lang="en-GB">implementation of the model </span><span lang="en-GB">resulted in </span><span lang="en-GB">extension of simulations until 2100 using different climate drivers to</span> <span lang="en-GB">investigate</span> <span lang="en-GB">effects of </span><span lang="en-GB">future</span> <span lang="en-GB">management</span><span lang="en-GB"> scenario</span><span lang="en-GB">s on various ecosystem balances</span><span lang="en-GB">. </span><span lang="en-GB">T</span><span lang="en-GB">he</span><span lang="en-GB">se</span><span lang="en-GB"> model result</span><span lang="en-GB">s</span><span lang="en-GB"> can be utilized </span><span lang="en-GB">to provide recommendations for </span><span lang="en-GB">peatland </span><span lang="en-GB">forest management, </span><span lang="en-GB">which can</span><span lang="en-GB"> ensure reduction in forestry related emission</span><span lang="en-GB">s</span><span lang="en-GB"> and </span><span lang="en-GB">improve the possibilities for</span><span lang="en-GB"> the peatland forest</span> <span lang="en-GB">to act as a</span><span lang="en-GB"> sink of carbon.</span></p>
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.