Ecosystem Structure throughout the Brazilian Amazon from Landsat Observations and Automated Spectral Unmixing

2005 ◽  
Vol 9 (7) ◽  
pp. 1-31 ◽  
Author(s):  
Gregory P. Asner ◽  
David E. Knapp ◽  
Amanda N. Cooper ◽  
Mercedes M. C. Bustamante ◽  
Lydia P. Olander
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Brazilian Amazon ◽  
Canopy Gap ◽  
Amazon Forest ◽  
Ecosystem Structure ◽  
Gap Fraction ◽  
Cerrado Savanna ◽  
Spectral Mixture

Abstract The Brazilian Amazon forest and cerrado savanna encompasses a region of enormous ecological, climatic, and land-use variation. Satellite remote sensing is the only tractable means to measure the biophysical attributes of vegetation throughout this region, but coarse-resolution sensors cannot resolve the details of forest structure and land-cover change deemed critical to many land-use, ecological, and conservation-oriented studies. The Carnegie Landsat Analysis System (CLAS) was developed for studies of forest and savanna structural attributes using widely available Landsat Enhanced Thematic Mapper Plus (ETM+) satellite data and advanced methods in automated spectral mixture analysis. The methodology of the CLAS approach is presented along with a study of its sensitivity to atmospheric correction errors. CLAS is then applied to a mosaic of Landsat images spanning the years 1999–2001 as a proof of concept and capability for large-scale, very high resolution mapping of the Amazon and bordering cerrado savanna. A total of 197 images were analyzed for fractional photosynthetic vegetation (PV), nonphotosynthetic vegetation (NPV), and bare substrate covers using a probabilistic spectral mixture model. Results from areas without significant land use, clouds, cloud shadows, and water bodies were compiled by the Brazilian state and vegetation class to understand the baseline structural typology of forests and savannas using this new system. Conversion of the satellite-derived PV data to woody canopy gap fraction was made to highlight major differences by vegetation and ecosystem classes. The results indicate important differences in fractional photosynthetic cover and canopy gap fraction that can now be accounted for in future studies of land-cover change, ecological variability, and biogeochemical processes across the Amazon and bordering cerrado regions of Brazil.

Hydrological regime, water availability and land use/land cover change impact on the water balance in a large agriculture basin in the Southern Brazilian Amazon

2021 ◽  
Vol 108 ◽  
pp. 103224
Author(s):  
Tárcio Rocha Lopes ◽  
Cornélio Alberto Zolin ◽  
Rafael Mingoti ◽  
Laurimar Gonçalves Vendrusculo ◽  
Frederico Terra de Almeida ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Water Balance ◽  
Land Cover Change ◽  
Water Availability ◽  
Hydrological Regime ◽  
Brazilian Amazon ◽  
Land Use Land Cover ◽  
Change Impact

scholarly journals Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1217
Author(s):  
Manan Bhan ◽  
Simone Gingrich ◽  
Sarah Matej ◽  
Steffen Fritz ◽  
Karl-Heinz Erb
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Management ◽  
Empirical Relationship ◽  
Carbon Stocks ◽  
Tree Cover ◽  
Ecosystem Structure ◽  
Biomass Carbon ◽  
Potential Vegetation

Tree cover (TC) and biomass carbon stocks (CS) are key parameters for characterizing vegetation and are indispensable for assessing the role of terrestrial ecosystems in the global climate system. Land use, through land cover change and land management, affects both parameters. In this study, we quantify the empirical relationship between TC and CS and demonstrate the impacts of land use by combining spatially explicit estimates of TC and CS in actual and potential vegetation (i.e., in the hypothetical absence of land use) across the global tropics (~23.4° N to 23.4° S). We find that land use strongly alters both TC and CS, with stronger effects on CS than on TC across tropical biomes, especially in tropical moist forests. In comparison to the TC-CS correlation observed in the potential vegetation (biome-level R based on tropical ecozones = 0.56–0.90), land use strongly increases this correlation (biome-level R based on tropical ecozones = 0.87–0.94) in the actual vegetation. Increased correlations are not only the effects of land cover change. We additionally identify land management impacts in closed forests, which cause CS reductions. Our large-scale assessment of the TC-CS relationship can inform upcoming remote sensing efforts to map ecosystem structure in high spatio-temporal detail and highlights the need for an explicit focus on land management impacts in the tropics.

scholarly journals Chironomidae from Eastern Amazon: Understanding the differences of land-use on functional feeding groups

2018 ◽  
Author(s):  
Kathia C. Sonoda ◽  
Josinete S. Monteles ◽  
Anderson Ferreira ◽  
Pedro Gerhard
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Development ◽  
Brazilian Amazon ◽  
Human Action ◽  
Taxonomic Resolution ◽  
Functional Feeding Groups ◽  
Amazon Forest ◽  
Group Data ◽  
Forest Streams

Deforestation for agricultural purposes is the most dangerous human action against the conservation of the Brazilian Amazon Forest; its rates reached almost 20% of the original forested area. Many studies have been conducted on Chironomidae systematics and ecology over the Amazon biome, but most concerned the Central Amazon, while little is known about Chironomidae diversity and the effects of land development and agriculture intensification on the aquatic biota from Eastern Brazilian Amazon. The present study analyzed the effects of different land-use and land-cover on Chironomidae assemblages. Land-Use and Land-Cover (LULC) at the riparian zone were assessed from satellite imagery and three categories were defined: Forest, Secondary (Capoeira) and Agriculture. Ten catchments were selected: two for Forest, five for Agriculture and three for Secondary. For each catchment we characterized habitat and sampled insects. We hypothesized that i) the assemblage taxonomic richness will change across different land uses on riparian zones and ii) feeding functionality is a better information than taxonomic resolution to show the importance of LULC upon stream. A total of 20,884 individuals were sampled from the streams, abundance was higher in Agriculture streams. Corynoneura (18.4%), Pentaneura (14.6%) and Rheotanytarus (14.0%) were the most abundant genera in Agriculture streams; Corynoneura (17.8%), Caladomyia (13.6%), Paratanytarsus (13.1%) and Beardius (10.9%) dominated Forest streams; Goeldichironomus (25.9%), Rheotanytarus (17.6%) and Polypedilum (13.2%) dominated Capoeira streams. Regarding FFG, gatherers were the most numeric abundant in Forest (50.3%), followed by filterers (38.7%), predators (6.6%) and shredders (4.2%). In Capoeira, filterers were the main FFG (61.1%), gatherers (27.9%), predators (7.7%) and shredders (3.3%). In Agriculture streams, predators, filterers and gatherers had close numeric participation, 34.9%, 32.4% and 32.2%, respectively. Shredders performed a smaller fraction (0.4%). In Forest and Agriculture, scrapers participation was under 0.2%, while it was absent at Capoeira. Permutation tests showed significant differences among assemblages, based on numerical abundance of genera and on functional feeding group data. Even though, shredders showed a discrete participation in all three LULC, it was statistically significant higher at Forest streams when compared to Agriculture ones. Our study was able to demonstrate taxonomic differences of all LULC analyzed and it also showed the importance in considering the feeding behavior to understand the effects of land-use and land-covers changes.

scholarly journals Land Use and Land Cover Change Dynamics across the Brazilian Amazon: Insights from Extensive Time-Series Analysis of Remote Sensing Data

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e104144 ◽  
Author(s):  
João M. B. Carreiras ◽  
Joshua Jones ◽  
Richard M. Lucas ◽  
Cristina Gabriel
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Time Series ◽  
Land Cover ◽  
Time Series Analysis ◽  
Land Cover Change ◽  
Remote Sensing Data ◽  
Brazilian Amazon ◽  
Sensing Data ◽  
Change Dynamics

scholarly journals Spatiotemporal analysis of land-use and land-cover change in the Brazilian Amazon

2013 ◽  
Vol 34 (16) ◽  
pp. 5953-5978 ◽  
Author(s):  
Dengsheng Lu ◽  
Guiying Li ◽  
Emilio Moran ◽  
Scott Hetrick
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Spatiotemporal Analysis ◽  
Brazilian Amazon

Household demographic change and land use/land cover change in the Brazilian Amazon

2007 ◽  
Vol 28 (3) ◽  
pp. 163-185 ◽  
Author(s):  
Leah K. VanWey ◽  
Álvaro O. D’Antona ◽  
Eduardo S. Brondízio
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Demographic Change ◽  
Brazilian Amazon ◽  
Land Use Land Cover

scholarly journals Land-use and land-cover change shape the sustainability and impacts of protected areas

2018 ◽  
Vol 115 (9) ◽  
pp. 2084-2089 ◽  
Author(s):  
Anteneh T. Tesfaw ◽  
Alexander Pfaff ◽  
Rachel E. Golden Kroner ◽  
Siyu Qin ◽  
Rodrigo Medeiros ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Protected Areas ◽  
Land Cover Change ◽  
Brazilian Amazon ◽  
Ecological Impacts ◽  
Rural Settlements ◽  
Hydropower Development ◽  
Limited Impact

Protected areas (PAs) remain the dominant policy to protect biodiversity and ecosystem services but have been shown to have limited impact when development interests force them to locations with lower deforestation pressure. Far less known is that such interests also cause widespread tempering, reduction, or removal of protection [i.e., PA downgrading, downsizing, and degazettement (PADDD)]. We inform responses to PADDD by proposing and testing a bargaining explanation for PADDD risks and deforestation impacts. We examine recent degazettements for hydropower development and rural settlements in the state of Rondônia in the Brazilian Amazon. Results support two hypotheses: (i) ineffective PAs (i.e., those where internal deforestation was similar to nearby rates) were more likely to be degazetted and (ii) degazettement of ineffective PAs caused limited, if any, additional deforestation. We also report on cases in which ineffective portions were upgraded. Overall our results suggest that enhancing PAs’ ecological impacts enhances their legal durability.

The role of accessibility for land use and land cover change in the Brazilian Amazon

2021 ◽  
Vol 132 ◽  
pp. 102419
Author(s):  
Johannes Schielein ◽  
Gabriel Ponzoni Frey ◽  
Javier Miranda ◽  
Rodrigo Antônio de Souza ◽  
Jan Boerner ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Brazilian Amazon

Land-Use Land-Cover Change and Its Impact on Surface Runoff using Remote Sensing and GIS

2017 ◽  
Vol 6 (1) ◽  
pp. 2103-2113 ◽  
Author(s):  
Prakash C.R. ◽  
◽  
Sreedevi B. ◽  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Surface Runoff ◽  
Remote Sensing And Gis ◽  
Land Use Land Cover

Application of Relative Favorability Function Model for Land-use and Land-cover Change (LUCC) Prediction in South Korea

2018 ◽  
Vol 7 (3) ◽  
pp. 463-478
Author(s):  
Dongwoo Kim ◽  
Jangsoo Kim ◽  
Man-Kyu Kim
Keyword(s):  
Land Use ◽  
Land Cover ◽  
South Korea ◽  
Land Cover Change ◽  
Function Model
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