scholarly journals Nitrogen deposition and climate change effects on tree species composition and ecosystem services for a forest cohort

2019 ◽  
Vol 89 (2) ◽  
pp. e01345 ◽  
Author(s):  
George Van Houtven ◽  
Jennifer Phelan ◽  
Christopher Clark ◽  
Robert D. Sabo ◽  
John Buckley ◽  
...  
Keyword(s):  
Climate Change ◽  
Ecosystem Services ◽  
Species Composition ◽  
Nitrogen Deposition ◽  
Tree Species ◽  
Tree Species Composition ◽  
Climate Change Effects

scholarly journals Long-term response of forest productivity to climate change is mostly driven by change in tree species composition

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Xavier Morin ◽  
Lorenz Fahse ◽  
Hervé Jactel ◽  
Michael Scherer-Lorenzen ◽  
Raúl García-Valdés ◽  
...  
Keyword(s):  
Climate Change ◽  
Species Composition ◽  
Tree Species ◽  
Forest Productivity ◽  
Tree Species Composition ◽  
Term Response

scholarly journals Spatial Pattern of Climate Change Effects on Lithuanian Forestry

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 809 ◽  
Author(s):  
Gintautas Mozgeris ◽  
Vilis Brukas ◽  
Nerijus Pivoriūnas ◽  
Gintautas Činga ◽  
Ekaterina Makrickienė ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Ecosystem Services ◽  
Forest Management ◽  
Decision Support Systems ◽  
Tree Species ◽  
Support Systems ◽  
Forest Growth ◽  
Climate Change Scenarios ◽  
Climate Change Effects

Research Highlights: Validating modelling approach which combines global framework conditions in the form of climate and policy scenarios with the use of forest decision support system to assess climate change impacts on the sustainability of forest management. Background and Objectives: Forests and forestry have been confirmed to be sensitive to climate. On the other hand, human efforts to mitigate climate change influence forests and forest management. To facilitate the evaluation of future sustainability of forest management, decision support systems are applied. Our aims are to: (1) Adopt and validate decision support tool to incorporate climate change and its mitigation impacts on forest growth, global timber demands and prices for simulating future trends of forest ecosystem services in Lithuania, (2) determine the magnitude and spatial patterns of climate change effects on Lithuanian forests and forest management in the future, supposing that current forestry practices are continued. Materials and Methods: Upgraded version of Lithuanian forestry simulator Kupolis was used to model the development of all forests in the country until 2120 under management conditions of three climate change scenarios. Selected stand-level forest and forest management characteristics were aggregated to the level of regional branches of the State Forest Enterprise and analyzed for the spatial and temporal patterns of climate change effects. Results: Increased forest growth under a warmer future climate resulted in larger tree dimensions, volumes of growing stock, naturally dying trees, harvested assortments, and also higher profits from forestry activities. Negative impacts were detected for the share of broadleaved tree species in the standing volume and the tree species diversity. Climate change effects resulted in spatially clustered patterns—increasing stand productivity, and amounts of harvested timber were concentrated in the regions with dominating coniferous species, while the same areas were exposed to negative dynamics of biodiversity-related forest attributes. Current forest characteristics explained 70% or more of the variance of climate change effects on key forest and forest management attributes. Conclusions: Using forest decision support systems, climate change scenarios and considering the balance of delivered ecosystem services is suggested as a methodological framework for validating forest management alternatives aiming for more adaptiveness in Lithuanian forestry.

Long-term effects of climate change on carbon storage and tree species composition in a dry deciduous forest

2017 ◽  
Vol 23 (8) ◽  
pp. 3154-3168 ◽  
Author(s):  
István Fekete ◽  
Kate Lajtha ◽  
Zsolt Kotroczó ◽  
Gábor Várbíró ◽  
Csaba Varga ◽  
...  
Keyword(s):  
Climate Change ◽  
Species Composition ◽  
Carbon Storage ◽  
Tree Species ◽  
Deciduous Forest ◽  
Long Term Effects ◽  
Tree Species Composition ◽  
Dry Deciduous Forest

scholarly journals Combining Tree Species Composition and Understory Coverage Indicators with Optimization Techniques to Address Concerns with Landscape-Level Biodiversity

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 126
Author(s):  
Brigite Botequim ◽  
Miguel N. Bugalho ◽  
Ana Raquel Rodrigues ◽  
Susete Marques ◽  
Marco Marto ◽  
...  
Keyword(s):  
Climate Change ◽  
Forest Management ◽  
Species Composition ◽  
Biodiversity Conservation ◽  
Tree Species ◽  
Optimization Techniques ◽  
Tree Species Composition ◽  
Management Models ◽  
The Impact ◽  
Landscape Level

Sustainable forest management needs to address biodiversity conservation concerns. For that purpose, forest managers need models and indicators that may help evaluate the impact of management options on biodiversity under the uncertainty of climate change scenarios. In this research we explore the potential for designing mosaics of stand-level forest management models to address biodiversity conservation objectives on a broader landscape-level. Our approach integrates (i) an effective stand-level biodiversity indicator that reflect tree species composition, stand age, and understory coverage under divergent climate conditions; and (ii) linear programming optimization techniques to guide forest actors in seeing optimal forest practices to safeguard future biodiversity. Emphasis is on the efficiency and effectiveness of an approach to help assess the impact of forest management planning on biodiversity under scenarios of climate change. Results from a resource capability model are discussed for an application to a large-scale problem encompassing 14,765 ha, extending over a 90-years planning horizon and considering two local-climate scenarios. They highlight the potential of the approach to help assess the impact of both stand and landscape-level forest management models on biodiversity conservation goals. They demonstrate further that the approach provides insights about how climate change, timber demand and wildfire resistance may impact plans that target the optimization of biodiversity values. The set of optimized long-term solutions emphasizes a multifunctional forest that guarantees a desirable local level of biodiversity and resilience to wildfires, while providing a balanced production of wood over time at the landscape scale.

Lithuanian forests and climate change: possible effects on tree species composition

2013 ◽  
Vol 133 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Remigijus Ozolinčius ◽  
Edmundas Lekevičius ◽  
Vidas Stakėnas ◽  
Audronė Galvonaitė ◽  
Arūnas Samas ◽  
...  
Keyword(s):  
Climate Change ◽  
Species Composition ◽  
Tree Species ◽  
Tree Species Composition
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