Landscape structure in the northern coast of Paraná state, a hotspot for the brazilian Atlantic Forest conservation

Kauano, Érico Emed; Torezan, José Marcelo Domingues; Cardoso, Fernanda C. G.; Marques, Márcia C. M.

doi:10.1590/s0100-67622012000500018

Cited by 31 publications

(24 citation statements)

References 25 publications

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“…It is relatively well documented that tree species diversity in fragmented forests declines with lower proportions of natural habitats (Bascompte & Rodriguez 2001), but the positive effects of forested landscapes in forest species richness and structure (abundance and basal area) is possibly new important empirical support for restoration ecology. However, it is important to notice that the studied region is located in a large and well-preserved fragment of Atlantic forest, where the landscape consists of 68% forested areas (Kauano et al 2012). The positive effects of surrounding areas on the structure of restored forests are likely to be more evident in highly fragmented landscapes.…”

Section: Resultsmentioning

confidence: 98%

“…Considering that seed dispersal is not limited in the region (because of the forested matrix, Kauano et al (2012)), both planted and naturally regenerated areas have the same probability of propagule arrival, resulting in sites with similar species richness (unpublished data). Nonetheless, by planting seedlings a higher initial stem density is achieved, speeding soil coverage and microclimate improvement.…”

Section: Resultsmentioning

confidence: 99%

“…This region comprises a forest matrix, with 68% of the area still occupied by late-successional and old-growth forest (Kauano et al 2012). and disturbed forest fragments are characterized by the dominance of a reduced number of pioneer tree species, or by ruderal and exotic species that are not historically related to the plant community trajectory (Uhl et al 1998).…”

Section: Study Sitementioning

confidence: 99%

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Micro-and Meso-Scale Factors Affect the Restoration of Atlantic Forest

Kauano¹,

Cardoso²,

Torezan³

et al. 2013

NatCon

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Ecological restoration is potentially affected by factors acting at both micro-(characteristics of the site for seedling establishment) and meso-scales (landscape features). We evaluated areas undergoing restoration to define the relative importance of some micro-scale factors (soil type, restoration strategy, pasture type) and macro-scale factors (proportion of old-growth forest, immature forest, degraded and humid areas, and the nearest-neighbor distance) at determining forest structure (tree abundance, basal area and species richness) of young (3-11 years) restoration areas. We found that the areas under restoration have higher tree species richness and abundance if old-growth forests are present within distances up to 200 m. We also found that the use of non-invasive fodder grass species in the pasture prior to restoration resulted in higher abundance and basal area of native trees in restoration sites; other factors were less important. These results point to the importance of certain landscape features for the success of restoration, and that the presence of preserved forests nearby is a key factor to be considered when planning recovery of tree species diversity in forest restoration.

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Section: Resultsmentioning

confidence: 98%

Section: Resultsmentioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

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Micro-and Meso-Scale Factors Affect the Restoration of Atlantic Forest

Kauano¹,

Cardoso²,

Torezan³

et al. 2013

NatCon

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“…A Floresta Atlântica é extremamente fragmentada, sendo que atualmente mais de 80% de sua cobertura encontra-se em fragmentos menores do que 50 hectares, em diferentes estádios sucessionais (Ribeiro et al, 2009). Na análise da paisagem da Área de Proteção Ambiental (APA) de Guaraqueçaba, litoral do estado do Paraná, local deste estudo, Kauano et al (2012) avaliaram que 83% da área total dessa Unidade de Conservação são dominados por florestas, dos quais 68,5% pela fisionomia Floresta Ombrófila Densa, sendo que 9,5% referem-se a florestas secundárias.…”

Section: Introductionunclassified

Deposição de Fitomassa em Formações Secundárias na Floresta Atlântica do Paraná

et al. 2016

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RESUMOEste trabalho objetivou avaliar a deposição de serapilheira em três formações secundárias com diferentes idades na Floresta Ombrófila Densa Submontana no Paraná. A serapilheira anual produzida foi avaliada mensalmente por 25 coletores (1 m 2 ) distribuídos sistematicamente em cada formação secundária (1 ha) e separada em frações (ramos, órgãos reprodutivos, miscelânea e folhas). Não houve diferença significativa entre as formações quanto à deposição anual de serapilheira, provavelmente devido às semelhanças entre elas com relação à estrutura da vegetação e às condições meteorológicas. A maior deposição de serapilheira total e frações ocorreu nos meses com maiores temperatura e precipitação. A fração folhas foi a mais representativa na serapilheira total em todas as formações, sendo que na floresta secundária menos desenvolvida (FS-1) houve contribuição de um menor número de espécies, quando comparada com a floresta secundária intermediária (FS-2) e a floresta secundária mais desenvolvida (FS-3).Palavras-chave: Floresta Ombrófila Densa, serapilheira, sucessão florestal. Litterfall in Secondary Forests in the Brazilian Atlantic Forest of Paraná State ABSTRACTThis research is focused in evaluating the litterfall in secondary forests of Dense Ombrophilous Submontane Forest in the coast of Paraná state. The annual litterfall produced was evaluated monthly by 25 collectors (1 m 2 ), systematically distributed in each secondary formation (1 ha) and separated into fractions (twigs, reproductive organs, remains, and leaves). There was no significant difference between the secondary formations on the annual litterfall, probably due to the similarities they both have with respect to the structure of vegetation and meteorological conditions. The highest deposition of total litter and fractions occurred in the months of highest temperature and rainfall. The fraction leaves were the most representative of total litterfall in all formations, with the less evolved secondary forests (FS-1) contributing with fewer number of species, when compared with the intermediate and more evolved secondary forests (FS-2) and (FS-3), respectively.

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“…Although different measurements, these factors are related to the relief of the study area, that plays an important role influencing deforestation (Silva et al 2007) in The Atlantic Forest Biome. Also, due to intense exploration in the last 500 years, the Atlantic forest remnants are currently restricted to the higher elevations and steeper reliefs (Dean 1996;Oliveira-Filho and Fontes 2000;Ribeiro et al 2009;Kauano et al 2012). The most important factor for the amount of forest was mean slope in the models selected from both statistical approaches.…”

Section: Comparisons Of Rf With Stepmentioning

confidence: 99%

How well does random forest analysis model deforestation and forest fragmentation in the Brazilian Atlantic forest?

et al. 2017

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We assessed the value of applying random forest analysis (RF) to relating metrics of deforestation (DF) and forest fragmentation (FF) to socioeconomic (SE) and biogeophysical (BGP) factors, in the Brazilian Atlantic Forest of Minas Gerais, Brazil. A vegetation-monitoring project provided land cover maps, from which we derived DF and FF metrics. An ecologic-economical zoning project provided more than 300 SE and BGP factors. We used RF to identify relationships between these sets of variables and compared its performance in this task to that of a more traditional multiple linear regression approach. We found that RF modelled relatively-well variance in all metrics used (the rate of deforestation, the amount of forest and the density and isolation of forest patches), presenting a better performance when compared to the classical approach. RF also identified geographical location and topographic factors as being most closely associated with patterns of DF and FF metrics. Both analyses found factors associated with economic productivity, social institutions, accessibility and exploration to have little relationship with forest metrics. RF was better at explaining variations in rates of deforestation, remaining forest and patch patterns, than the multiple linear regression approach. We conclude that RF provides a promisHandling Editor: Pierre Dutilleul. Electronic supplementary materialThe online version of this article (https://doi.org/10.1007/s10651-017-0389-8) contains supplementary material, which is available to authorized users.

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Landscape structure in the northern coast of Paraná state, a hotspot for the brazilian Atlantic Forest conservation

Cited by 31 publications

References 25 publications

Micro-and Meso-Scale Factors Affect the Restoration of Atlantic Forest

Micro-and Meso-Scale Factors Affect the Restoration of Atlantic Forest

Deposição de Fitomassa em Formações Secundárias na Floresta Atlântica do Paraná

How well does random forest analysis model deforestation and forest fragmentation in the Brazilian Atlantic forest?

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