Uma Nota Sobre Os Limites Territoriais Da Mata Atlântica

Muylaert, Renata L.; Vancine, Maurício Humberto; Bernardo, Rodrigo; Oshima, Júlia Emi F.; Sobral‐Souza, Thadeu; Tonetti, Vinicius Rodrigues; Niebuhr, Bernardo Brandão; Ribeiro, Milton Cézar

doi:10.4257/oeco.2018.2203.09

Cited by 80 publications

(39 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…First, the range of latitudes spanned by the Atlantic Forest biome is large (approximately 29 • ,~−3 • to −30 • ) having a corresponding large range of changes in solar angles as well as environmental conditions, the altitudinal range is large, and the Atlantic Ocean borders this latitudinal gradient, driving differences in rainfall and vegetation composition [120]. These conditions are expected to have an impact when averaging over space and time to mask trends and relationships [120,141]. Second, the degree of deforestation in the Atlantic Forest original vegetation is over 88% of the original forest and the remaining forest fragments are small (<50 ha) and isolated [120,142].…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Patterns and Phenology of Tropical Vegetation Solar-Induced Chlorophyll Fluorescence across Brazilian Biomes Using Satellite Observations

et al. 2019

View full text Add to dashboard Cite

Solar-induced fluorescence (SIF) has been empirically linked to gross primary productivity (GPP) in multiple ecosystems and is thus a promising tool to address the current uncertainties in carbon fluxes at ecosystem to continental scales. However, studies utilizing satellite-measured SIF in South America have concentrated on the Amazonian tropical forest, while SIF in other regions and vegetation classes remain uninvestigated. We examined three years of Orbiting Carbon Observatory-2 (OCO-2) SIF data for vegetation classes within and across the six Brazilian biomes (Amazon, Atlantic Forest, Caatinga, Cerrado, Pampa, and Pantanal) to answer the following: (1) how does satellite-measured SIF differ? (2) What is the relationship (strength and direction) of satellite-measured SIF with canopy temperature (T can ), air temperature (T air ), and vapor pressure deficit (VPD)? (3) How does the phenology of satellite-measured SIF (duration and amplitude of seasonal integrated SIF) compare? Our analysis shows that OCO-2 captures a significantly higher mean SIF with lower variability in the Amazon and lower mean SIF with higher variability in the Caatinga compared to other biomes. OCO-2 also distinguishes the mean SIF of vegetation types within biomes, showing that evergreen broadleaf (EBF) mean SIF is significantly higher than other vegetation classes (deciduous broadleaf (DBF), grassland (GRA), savannas (SAV), and woody savannas (WSAV)) in all biomes. We show that the strengths and directions of correlations of OCO-2 mean SIF to T can , T air , and VPD largely cluster by biome: negative in the Caatinga and Cerrado, positive in the Pampa, and no correlations were found in the Pantanal, while results were mixed for the Amazon and Atlantic Forest. We found mean SIF most strongly correlated with VPD in most vegetation classes in most biomes, followed by T can . Seasonality from time series analysis reveals that OCO-2 SIF measurements capture important differences in the seasonal timing of SIF for different classes, details masked when only examining mean SIF differences. We found that OCO-2 captured the highest base integrated SIF and lowest seasonal pulse integrated SIF in the Amazon for all vegetation classes, indicating continuous photosynthetic activity in the Amazon exceeds other biomes, but with small seasonal increases. Surprisingly, Pantanal EBF SIF had the highest total integrated SIF of all classes in all biomes due to a large seasonal pulse. Additionally, the length of seasons only accounts for about 30% of variability in total integrated SIF; thus, integrated SIF is likely captures differences in photosynthetic activity separate from structural differences. Our results show that satellite measurements of SIF can distinguish important functioning and phenological differences in vegetation classes and thus has the potential to improve our understanding of productivity and seasonality in the tropics.

show abstract

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Patterns and Phenology of Tropical Vegetation Solar-Induced Chlorophyll Fluorescence across Brazilian Biomes Using Satellite Observations

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Currently, 70% of the Brazilian population are settled within the AF domain and the natural forest cover is confined to approximately 11% of its original extent (Ribeiro et al, ; Tabarelli et al, ). In this study, we followed the Atlantic Forest delimitation proposed by Muylaert et al ().…”

Section: Methodsmentioning

confidence: 99%

“…Distribution of the Atlantic Forest domain (following Muylaert et al, ), its biogeographical sub‐regions (adapted from Silva & Casteleti, ), and the forest remnants (Ribeiro et al, )…”

Section: Methodsmentioning

confidence: 99%

Effects of landscape modification on species richness patterns of fruit‐feeding butterflies in Brazilian Atlantic Forest

Santos

Sobral‐Souza

Brown

et al. 2019

Diversity and Distributions

Self Cite

View full text Add to dashboard Cite

Aim:To assess the distributional patterns of fruit-feeding butterfly species richness in Atlantic Forest (AF) based on stack species distribution models (SSDM); to evaluate the relative contribution of climate and landscape in the patterns of butterfly species richness; and to recommend conservation guidelines for AF regions based on the obtained results.Location: Brazilian Atlantic Forest. Methods:We used SSDMs to generate potential distribution maps of butterfly species richness in AF. Our dataset comprises 7,062 records of 279 species, distributed across 122 local communities. We built richness maps based on climate and landscape models and analysed them separately to understand their contribution to the pattern of richness distribution. Then, we combined both models to build a consensus map. Finally, we designed specific conservation strategies based on richness categories distributed on the consensus map. Results:The regions with high-predicted species richness for both climate and landscape models supported the main endemism locations described for other AF taxa in previous studies. Both models predicted intermediate values of species richness for most regions, but the patterns of richness distribution were not fully congruent.High species richness based on landscape metrics was frequently concentrated in the south. Furthermore, locations suitable for high species richness according to climate are near to the endemism centres, but also to dense urban centres, highlighting the potential impacts of the landscape modification on butterfly species richness.Main conclusions: The distribution of fruit-feeding butterfly species richness and endemism reflect the classic division of AF in different sub-regions according to the endemism centres proposed by previous authors for other taxa. The availability of forested habitats seems to be a determining factor for the maintenance of high species richness in AF. Therefore, the loss of natural forest remnants due to landscape modification is the primary threat to butterfly diversity. | 197SANTOS eT Al.

show abstract

“…Our study was conducted within highly heterogeneous landscapes embedded within a vast fragmented region of the Atlantic Forest domain in southeastern Brazil, which spans −3°S to −34°S in latitude and −58°W to −34.5°W in longitude ( Fig. 1; Muylaert et al 2018; <https://github.com/ LEEClab/ATLANTIC-limits>). The region has succumbed to intense human forest habitat conversion since the 17th century, resulting in high levels of habitat loss, patch size reduction, increased forest isolation and highly disturbed forest remnants (Ribeiro et al 2009).…”

Section: Study Areamentioning

confidence: 99%

Matrix type and landscape attributes modulate avian taxonomic and functional spillover across habitat boundaries in the Brazilian Atlantic Forest

Barros

Martello

Peres

et al. 2019

Oikos

View full text Add to dashboard Cite

Land use intensification drives biodiversity loss worldwide. In heterogeneous landscape mosaics, both overall forest area and anthropogenic matrix structure induce changes in biological communities in primary habitat remnants. However, community changes via cross‐habitat spillover processes along forest–matrix interfaces remain poorly understood. Moreover, information on how landscape attributes affect spillover processes across habitat boundaries are embryonic. Here, we quantify avian α‐ and β‐diversity (as proxies of spillover rates) across two dominant types of forest–matrix interfaces (forest–pasture and forest–eucalyptus plantation) within the Atlantic Forest biodiversity hotspot in southeast Brazil. We also assess the effects of anthropogenic matrix type and landscape attributes (forest cover, edge density and land‐use diversity) on bird taxonomic and functional β‐diversity across forest–matrix boundaries. Alpha taxonomic richness was higher in forest edges than within both matrix types, but between matrix types, it was higher in pastures than in eucalyptus plantations. Although significantly higher in forests edges than in the adjacent eucalyptus, bird functional richness did not differ between forest edges and adjacent pastures. Community changes (β‐diversity) related to species and functional replacements (turnover component) were higher across forest–pasture boundaries, whereas changes related to species and functional loss (nested component) were higher across forest–eucalyptus boundaries. Forest edges adjacent to eucalyptus had significant higher species and functional replacements than forest edges adjacent to pastures. Forest cover negatively influenced functional β‐diversity across both forest–pasture and forest–eucalyptus interfaces. We show the importance of matrix type and the structure of surrounding landscapes (mainly forest cover) on rates of bird assemblage spillover across forest‐matrix boundaries, which has profound implications to biological fluxes, ecosystem functioning and land‐use management in human‐modified landscapes.

show abstract

Uma Nota Sobre Os Limites Territoriais Da Mata Atlântica

Cited by 80 publications

References 18 publications

Spatiotemporal Patterns and Phenology of Tropical Vegetation Solar-Induced Chlorophyll Fluorescence across Brazilian Biomes Using Satellite Observations

Spatiotemporal Patterns and Phenology of Tropical Vegetation Solar-Induced Chlorophyll Fluorescence across Brazilian Biomes Using Satellite Observations

Effects of landscape modification on species richness patterns of fruit‐feeding butterflies in Brazilian Atlantic Forest

Matrix type and landscape attributes modulate avian taxonomic and functional spillover across habitat boundaries in the Brazilian Atlantic Forest

Contact Info

Product

Resources

About