Ecologia da Paisagem de uma Bacia Hidrográfica dos Tabuleiros Costeiros do Brasil

Fernandes, Márcia Rodrigues de Moura; Fernandes, Mílton Marques; Almeida, André Quintão de; Gonzaga, Maria Isidória da Silva; Gonçalves, F. G.

doi:10.1590/2179-8087.025015

Cited by 13 publications

(13 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…According to the area metrics (CA and PLAND), in the B2 area, the Forest and Other uses classes virtually do not show any difference, since the Forest class has 1329.06 hectares, equivalent to 50.61%, and the class of Other uses with 1296.78 ha corresponding to 49.39%, totaling an area of 2625.85 ha. The B2 area has 386 elements, 299 of forest fragments, with mean size of fragments of 4.45 ha, showing values that according to Fernandes et al (2017a) are more susceptible to degradation. In the other hand, the class of Other uses has an average size of 14.91 ha.…”

Section: Resultsmentioning

confidence: 99%

Landscape Structure at Different Altitudes in Dry Areas

Cunha¹,

Feliciano²,

Silva³

et al. 2018

JAS

View full text Add to dashboard Cite

The objective was to analyze the forest landscape structure of fragments at different altitudes in dry region. In order to do so, RapidEye images acquired in the year of 2014 were segmented, identified the Forest and Other uses classes and classified. Categorical maps were made and inserted in raster format in the Fragstats software, and text files were generated for calculations of class-level metrics and landscape-wide and then analyzed. The results of the parameters determined that the most affected and fragmented environments are those with lower altitudes, because of the forest cover of these environments is under strong pressure, since they are surrounded mainly by the Agropecuarian class, providing more susceptibility to fragmentation and external influences. Therefore, using the metrics together it was verified that there is a high shredding and this shredding has relation with the altitudinal gradient, since the lower the altitude, the lower the connectivity and thus the lower forest cover.

show abstract

Section: Resultsmentioning

confidence: 99%

Landscape Structure at Different Altitudes in Dry Areas

Cunha¹,

Feliciano²,

Silva³

et al. 2018

JAS

View full text Add to dashboard Cite

show abstract

“…Já nos anos de 2004 e 2014 essa métrica diminui ainda mais chegando a 88 e 89 metros respectivamente (Figura 3e). Fernandes et al (2017), analisando a paisagem da bacia do rio Piauitinga, mostrou que as áreas de pastagem possuem menor isolamento em relação as outras classes, com valor de MNN de 24,5 As manchas maiores da classe Agricultura/pasto também se tornaram mais próximas em um contexto geral, chegando a um valor máximo em 2014 (Figura 3f). Em detrimento da expansão agrícola, é possível observar uma maior proximidade entre as manchas de Solo exposto a partir de 1994, tornando mais evidente entre 2004 a 2014, período em que o número de manchas aumentou de modo acentuado.…”

Section: Métricas De Paisagemunclassified

Análise multitemporal do uso e cobertura do solo na APA rio Uberaba sob o enfoque da Ecologia de Paisagens

Rodrigues

Utsumi

2019

RBCTI

View full text Add to dashboard Cite

A ecologia de paisagens é uma ciência que busca compreender a heterogeneidade espacial dos elementos que compõem uma paisagem, relacionando essa heterogeneidade com a biodiversidade e a ação do homem. O presente trabalho objetivou realizar a análise multitemporal do uso e cobertura do solo da APA do rio Uberaba, sob o enfoque da ecologia de paisagens. Para isso, realizou-se a classificação supervisionada de imagens Landsat 5,7 e 8 para os anos de 1984, 1994, 2004 e 2014, por meio do software Qgis 2.8.2. O software Fragstats 4.2 foi utilizado para o cálculo das seguintes métricas de paisagens: Área total, Número de manchas, Comprimento total de bordas, Índice de forma médio, Distância média do vizinho mais próximo e Índice de Proximidade média ponderado pela área. Os resultados mostraram que entre 1984 e 1994 houve melhoria das condições de configuração espacial e composição para a cobertura florestal, chegando a ocupar 32% da paisagem da APA. Após esse período, nota-se o avanço das atividades agropecuárias, explicado pela redução de 30,3% do número de fragmentos florestais juntamente com a redução de 16,2% da área total dessa classe. Além disso, fragmentos florestais maiores ficaram mais isolados, e com formatos mais irregulares, o que contribuiu para o aumento do efeito de borda. As métricas de paisagens foram úteis no entendimento da dinâmica da estrutura da APA, podendo auxiliar em futuras políticas públicas de conservação.

show abstract

“…Several studies on this theme have been developed in tropical dry forests by applying landscape metrics to quantify their fragmentation (Pang et al, 2010;Pham et al, 2011;Coelho et al, 2014;Schulz et al, 2017;Fernandes et al, 2017;Fischer, 2018), and the results have shown that along with the rapid growth of the pasture/agriculture class, the predominant landscape of natural vegetation is being replaced by an increasingly heterogeneous, less diverse and fragmented vegetation (Fernandes et al, 2017). Therefore, with the premise that over the years, land-use has promoted forest fragmentation, which compromises the conservation of biodiversity.…”

Section: Introductionmentioning

confidence: 99%

Land-use and coverage in the structure of the landscape in a Tropical Dry Forest in northeast Brazil

Santos

Pessoa

Ferreira

et al. 2020

J. Env. Anal. Progr.

View full text Add to dashboard Cite

Landscape Ecology using GIS is applied to understand the effects of forest fragmentation and makes it feasible mainly for extensive areas, through the possibility of analyzing both the variety of units that compose it in time. This study aims to analyze the land use and coverage of tropical dry forests and to characterize their landscape structure in an area of the municipality of Floresta, Pernambuco, Brazil, in order to understand how the landscape configuration can influence the conservation. Orbital images were used from LANDSAT, and the classification was performed in the QGIS 2.18 software using the Maximum Likelihood methodification, for the years of 2007 and 2017. A circular buffer was incorporated around the area of study to analyze the structural patterns in the context of the landscape. Five thematic classes were used: dense vegetation, sparse vegetation, exposed soil, grassland, and water. The metrics were obtained through the Patch Analyst tool only to the class of dense vegetation. It is noted that much of the dense vegetation has become sparse. There was a reduction of exposed soil and an increase in grassland areas, which may indicate a regeneration process of the vegetation. The fragments of dense vegetation with more substantial dimensions are on constant exploratory actions and are the most affected with the reduction of size. Furthermore, climatic factors, periods of drought, and the presence of livestock may also affect the fragmentation of dense vegetation patches. Therefore, the landscape became heterogeneous, and a tendency was observed to increase the fragmentation, mainly in the more significant spots.

show abstract

Ecologia da Paisagem de uma Bacia Hidrográfica dos Tabuleiros Costeiros do Brasil

Cited by 13 publications

References 16 publications

Landscape Structure at Different Altitudes in Dry Areas

Landscape Structure at Different Altitudes in Dry Areas

Análise multitemporal do uso e cobertura do solo na APA rio Uberaba sob o enfoque da Ecologia de Paisagens

Land-use and coverage in the structure of the landscape in a Tropical Dry Forest in northeast Brazil

Contact Info

Product

Resources

About