scholarly journals Community modeling reveals the importance of elevation and land cover in shaping migratory bird abundance in the Andes

2021 ◽  
Author(s):  
Laura N. Céspedes Arias ◽  
Scott Wilson ◽  
Nicholas J. Bayly
Keyword(s):  
Land Cover ◽  
Migratory Bird ◽  
Bird Abundance ◽  
The Andes ◽  
Community Modeling

Land‐cover classification in the Andes of southern Ecuador using Landsat ETM+ data as a basis for SVAT modelling

2009 ◽  
Vol 30 (8) ◽  
pp. 1867-1886 ◽  
Author(s):  
D. Göttlicher ◽  
A. Obregón ◽  
J. Homeier ◽  
R. Rollenbeck ◽  
T. Nauss ◽  
...  
Keyword(s):  
Land Cover ◽  
Land Cover Classification ◽  
The Andes ◽  
Southern Ecuador

scholarly journals Land Cover Change in the Andes of Southern Ecuador—Patterns and Drivers

2015 ◽  
Vol 7 (3) ◽  
pp. 2509-2542 ◽  
Author(s):  
Giulia Curatola Fernández ◽  
Wolfgang Obermeier ◽  
Andrés Gerique ◽  
María López Sandoval ◽  
Lukas Lehnert ◽  
...  
Keyword(s):  
Land Cover ◽  
Land Cover Change ◽  
The Andes ◽  
Southern Ecuador

scholarly journals Topography of the Andes Mountains shapes the wintering distribution of a migratory bird

2016 ◽  
Vol 23 (2) ◽  
pp. 118-129 ◽  
Author(s):  
Ana M. González-Prieto ◽  
Nicholas J. Bayly ◽  
Gabriel J. Colorado ◽  
Keith A. Hobson
Keyword(s):  
Migratory Bird ◽  
Andes Mountains ◽  
The Andes ◽  
Wintering Distribution

Effects of climate, land cover and topography on soil erosion risk in a semiarid basin of the Andes

CATENA ◽  
2016 ◽  
Vol 140 ◽  
pp. 31-42 ◽  
Author(s):  
P.A. Ochoa ◽  
A. Fries ◽  
D. Mejía ◽  
J.I. Burneo ◽  
J.D. Ruíz-Sinoga ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Land Cover ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
The Andes

A Dynamic Graph Automata Approach to Modeling Landscape Change in the Andes and the Amazon

2009 ◽  
Vol 36 (2) ◽  
pp. 300-318 ◽  
Author(s):  
Sahotra Sarkar ◽  
Kelley A Crews-Meyer ◽  
Kenneth R Young ◽  
Christopher D Kelley ◽  
Alexander Moffett
Keyword(s):  
Cellular Automata ◽  
Land Cover ◽  
Land Cover Change ◽  
Landscape Heterogeneity ◽  
Bare Soil ◽  
Stochastic Simulations ◽  
Amazon Forest ◽  
Dynamic Graph ◽  
Spatial And Temporal Scales ◽  
The Andes

A generalization of cellular automata was developed that allows flexible, dynamic updating of variable neighborhood relationships, which in turn allows the integration of interactions at widely disparate spatial and temporal scales. Cells in the landscapes were modeled as vertices of dynamic graph automata that allow temporally variable causal connectivity between spatially nonadjacent cells. A trial was carried out to represent changes in an Amazonian and a tropical Andean landscape modeled as dynamic graph automata with input from a Landsat TM-derived Level 1 classification with the following classes: for the Amazon—forest, nonforest vegetation, water, and urban or bare (soil); for the Andes—forest, scrub (shrub or grassland), agriculture, and bare or exposed ground. Explicit automata transition rules were used to simulate temporal land-cover change. These rules were derived independently from fieldwork in each area, including vegetation plots or transects and informal interviews. Such a generalization of cellular automata was useful for modeling land-use–land-cover change (LULCC), although it potentially increases the computational complexity of an already data intensive process (involving 5–8 million cells, in 1000 stochastic simulations, with each simulation encompassing 15 annual time steps). The interannual predicted LULCC, while more nuanced in the Andean site, poses a serious threat to compositional and configurational stability in both the Andes and the Amazon, with implications for landscape heterogeneity and habitat fragmentation.

scholarly journals Disentangling direct and indirect effects of local temperature on abundance of mountain birds and implications for understanding global change impacts

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12560
Author(s):  
Francesco Ceresa ◽  
Petra Kranebitter ◽  
Juan S. Monrós ◽  
Franco Rizzolli ◽  
Mattia Brambilla
Keyword(s):  
Land Cover ◽  
Species Distribution ◽  
Indirect Effects ◽  
Climatic Factors ◽  
Local Temperature ◽  
Suitable Habitat ◽  
European Alps ◽  
Direct And Indirect Effects ◽  
Bird Abundance ◽  
Ecological Requirements

Unravelling the environmental factors driving species distribution and abundance is crucial in ecology and conservation. Both climatic and land cover factors are often used to describe species distribution/abundance, but their interrelations have been scarcely investigated. Climatic factors may indeed affect species both directly and indirectly, e.g., by influencing vegetation structure and composition. We aimed to disentangle the direct and indirect effects (via vegetation) of local temperature on bird abundance across a wide elevational gradient in the European Alps, ranging from montane forests to high-elevation open areas. In 2018, we surveyed birds by using point counts and collected fine-scale land cover and temperature data from 109 sampling points. We used structural equation modelling to estimate direct and indirect effects of local climate on bird abundance. We obtained a sufficient sample for 15 species, characterized by a broad variety of ecological requirements. For all species we found a significant indirect effect of local temperatures via vegetation on bird abundance. Direct effects of temperature were less common and were observed in seven woodland/shrubland species, including only mountain generalists; in these cases, local temperatures showed a positive effect, suggesting that on average our study area is likely colder than the thermal optimum of those species. The generalized occurrence of indirect temperature effects within our species set demonstrates the importance of considering both climate and land cover changes to obtain more reliable predictions of future species distribution/abundance. In fact, many species may be largely tracking suitable habitat rather than thermal niches, especially among homeotherm organisms like birds.

scholarly journals A LONG-TERM LAND COVER AND LAND USE MAPPING METHODOLOGY FOR THE ANDEAN AMAZON

2020 ◽  
Vol XLII-3/W12-2020 ◽  
pp. 373-378
Author(s):  
M. O. Borja ◽  
R. Camargo ◽  
N. Moreno ◽  
E. Turpo ◽  
S. Villacis
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Large Scale ◽  
Methodological Approach ◽  
Remote Sensing Data ◽  
The Novel ◽  
Water Index ◽  
Small Water ◽  
The Andes ◽  
Fractional Abundance

Abstract. The data developed by the MapBiomas Amazon initiative ( http://amazonia.mapbiomas.org/ ) led by the Amazon Geo-referenced Socio-environmental Information Network’s (RAISG) is of unprecedented spatial and temporal resolution for the Andes region. It’s comprised by a series of annual maps for the years 2000 to 2017 that allow to monitor the extent of transformation in this region using a single regional methodological approach. Several variables were included to solve Andes-specific methodological challenges and they represent adaptations of RAISG’s Amazonian methodology to the Andean region. Among such, is the use of the novel NDFIb index (Turpo, 2018), an adaptation of the NDFI index that aims at mapping Andean Wetlands. Glaciers identification was aided by the fractional abundance of snow (Turpo, 2018), as well as small water bodies identification with McFeeters (1996) NDWI water index. This experience unfolds promising accessibility to novel land cover and land use regional reconstructions and comparisons possible only by the use of large-scale cloud-computing data processing tools, open source technology, spatially and temporally comprehensive remote sensing data, along with RAISG’s standardized protocols and frameworks.

Spatial Estimation of Soil Erosion Risk by Land-cover Change in the Andes OF Southern Ecuador

2013 ◽  
Vol 26 (6) ◽  
pp. 565-573 ◽  
Author(s):  
Pablo Ochoa-Cueva ◽  
Andreas Fries ◽  
Pilar Montesinos ◽  
Juan A. Rodríguez-Díaz ◽  
Jan Boll
Keyword(s):  
Soil Erosion ◽  
Land Cover ◽  
Land Cover Change ◽  
Erosion Risk ◽  
Spatial Estimation ◽  
Soil Erosion Risk ◽  
The Andes ◽  
Southern Ecuador

scholarly journals A landscape-scale assessment of the response of birds to land cover, climate, and forest management

2015 ◽  
Author(s):  
◽  
Jaymi J. LeBrun
Keyword(s):  
Forest Management ◽  
Land Cover ◽  
Forest Cover ◽  
Regional Climate ◽  
Management Strategies ◽  
Canopy Cover ◽  
Northern Bobwhite ◽  
Future Climate ◽  
Management Scenarios ◽  
Bird Abundance

Climate change will likely increase temperatures across the globe as well as alter regional climates. These climate shifts have the potential to substantially change vegetation and reshape both plant and animal distributions. To mitigate these potential changes, scientists have suggested management strategies focused on forest resilience, response, and carbon sequestration. The goal of this research was to determine the current impacts of land cover and regional climate on birds in the Midwest, and use these current relationships to assess the direct and indirect effects of future climate and management on avian abundance in Missouri. I coupled the Bayesian model with a landscape simulation model (LANDIS PRO) to predict bird abundance 100 years into the future for a range of climate and forest management scenarios. Forest and canopy cover were the primary drivers of current bird abundance, however, temperature was influential for early successional species. In addition, the most significant climate related effect was for the northern bobwhite with higher abundances under warmer winters. For most birds, management had a greater impact on future abundance than climate, however, species currently exhibiting direct effects of climate showed compounded effects associated with management. Even though we expect land cover to change very little due to climate, we did see one bird (i.e., northern bobwhite) affect by climate-induced changes to vegetation. Managing forest cover will be key for mitigating the effects of future climate for birds.

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