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Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity
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Orientador(es)
Resumo(s)
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
Descrição
Palavras-chave
climate change biodiversity indicator ecosystem services mathematical programming landscape-level planning silvicultural practices
Contexto Educativo
Citação
Botequim, B.; Bugalho, M.N; Rodrigues, A.R.; Marques, S.; Marto, M.; Borges, J.G. Combining Tree Species Composition and Understory Coverage Indicators with Optimization Techniques to Address Concerns with Landscape-Level Biodiversity. Land 2021, 10, 126
Editora
MDPI