@Article{LemosAndRodHisAgu:2021:CoReLo,
author = "Lemos, Cassia Maria Gama and Andrade, Pedro Ribeiro and Rodrigues,
Ricardo R. and Hissa, Leticia and Aguiar, Ana Paula Dutra de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade de
S{\~a}o Paulo (USP)} and {Smithsonian Institution} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Combining regional to local restoration goals in the Brazilian
Atlantic forest",
journal = "Regional Environmental Change",
year = "2021",
volume = "21",
number = "3",
month = "Sept.",
keywords = "Cost-effectiveness, Ecological forest restoration, Land change
models, Payments for environmental services, Restoration methods,
Restoration planning.",
abstract = "To achieve regional and international large-scale restoration
goals with minimum costs, several restoration commitments rely on
natural regeneration, a passive and inexpensive strategy. However,
natural regeneration potential may vary within the landscape,
mainly due to its historical context. In this work, we use
spatially explicit restoration scenarios to explore how and where,
within a given region, multiple restoration commitments could be
combined to achieve cost-effectiveness outcomes. Our goal is to
facilitate the elaboration of forest restoration plans at the
regional level, taking into consideration the costs for active and
passive restoration methods. The approach includes (1) a
statistical analysis to estimate the natural regeneration
potential for a given area based on alternative sets of
biophysical, land cover, and/or socioeconomic factors and (2) the
use of a land change allocation model to explore the
cost-effectiveness of combining multiple restoration commitments
in a given area through alternative scenarios. We test our
approach in a strategic region in the Brazilian Atlantic Forest
Biome, the Paraiba Valley in S{\~a}o Paulo State. Using the
available data for 2011, calibrated for 2015, we build alternative
scenarios for allocating natural regeneration until 2025. Our
models indicate that the natural regeneration potential of the
region is actually very low, and the cost-effectiveness outcomes
are similar for all scenarios. We believe our approach can be used
to support the regional-level decision-making about the
implementation of multiple commitments aiming at the same target
area. It can also be combined with other approaches for more
refined analysis (e.g., optimization models).",
doi = "10.1007/s10113-021-01792-0",
url = "http://dx.doi.org/10.1007/s10113-021-01792-0",
issn = "1436-3798 and 1436-378X",
language = "en",
targetfile = "Lemos2021_Article_CombiningRegionalToLocalRestore.pdf",
urlaccessdate = "09 maio 2024"
}