scholarly journals Soil Erodibility on Cutting Slopes of Unpaved Roads

2018 ◽  
Vol 41 (1) ◽  
pp. 179-193 ◽  
Author(s):  
D.L. SOARES ◽  
H. POLIVANOV ◽  
E.V. BARROSO ◽  
L.M.G. MOTTA ◽  
C.C. SOUZA
2012 ◽  
Vol 20 (1) ◽  
pp. 105-110 ◽  
Author(s):  
Jia CHEN ◽  
Hong-Song CHEN ◽  
Teng FENG ◽  
Ke-Lin WANG ◽  
Wei ZHANG

2003 ◽  
Vol 67 (2) ◽  
pp. 637 ◽  
Author(s):  
Achmad Rachman ◽  
S. H. Anderson ◽  
C. J. Gantzer ◽  
A. L. Thompson

Author(s):  
Pedro Perez Cutillas ◽  
Gonzalo G. Barberá ◽  
Carmelo Conesa García

El objetivo principal de este trabajo se centra en la determinación y análisis de las variables ambientales que influyen en las divergencias de las estimaciones de erosionabilidad a partir de dos métodos, aplicando tres algoritmos de estimación del Factor K. La exploración de esta información permite conocer el peso que ejerce el origen de los datos de entrada a los modelos en el cómputo de erosionabilidad y qué importancia tiene en función del algoritmo elegido para la estimación del Factor K. Los resultados muestran que las pendientes, así como los índices de vegetación (NDVI) y de composición mineralógico (IOI) obtenidos mediantes técnicas de teledetección han   mostrado los valores de asociación más elevados entre ambos métodos.The main goal of this work is to determine and analyze the influence of environmental variables on the changes of two erodibility methods, through the application of three estimation algorithms of K Factor. The analysis of this information allows knowing the significance of the input data to the models in the erodibility estimation, and likewise the consequence of the algorithm selected for the estimation of K Factor. The results show that the slopes, as well as the vegetation index (NDVI) and the mineralogical composition index (IOI), generated both by remote sensing techniques, have shown the highest values of association between methods.


2021 ◽  
Vol 772 ◽  
pp. 145540
Author(s):  
Mingming Guo ◽  
Zhuoxin Chen ◽  
Wenlong Wang ◽  
Tianchao Wang ◽  
Wenxin Wang ◽  
...  

2021 ◽  
Author(s):  
Natalia F Versiani ◽  
Larissa L Bailey ◽  
Nielson Pasqualotto ◽  
Thiago F Rodrigues ◽  
Roberta M Paolino ◽  
...  

Abstract The drastic reduction of the Brazilian Cerrado has transformed this savanna hotspot into vast swaths of commodity-based agriculture fields, mainly soybean, sugarcane, and beef-production pasturelands. The resulting habitat loss and fragmentation are the principal factors underlying population decline of native species inhabiting the Cerrado, particularly those with a high demand for space, low population density, and specialized diet, such as the endangered giant anteater (Myrmecophaga tridactyla). Although the species has been studied in protected areas, we know much less about its ability to endure in disturbed landscapes. Here, we analyzed camera-trapping data to estimate a proxy of habitat use (ψ^; occupancy) and detection probabilities of the giant anteater, identifying environmental covariates influencing these parameters in landscapes with intensive agriculture and commercial forestry. We found this species using about half of the study area (model average ψ^ = 0.51, CI = 0.40–0.62), with two predictors strongly influencing habitat use: protected areas and unpaved roads. In turn, detection probability correlates positively with area of open Cerrado and negatively with area of settlements. The species is more likely to use unpaved roads inside protected areas (ψ^ = 0.90, CI = 0.47–0.75), compared to off road sites in the surrounding areas (ψ^ = 0.19, CI = 0.10–0.34). Our findings indicate that giant anteaters are dependent on nature reserves and native vegetation areas existing on private properties, whose protection is regulated by the Brazilian Native Vegetation Protection Law. Given the relative paucity of state-owned protected areas in the Brazilian Cerrado, increasing the adherence of rural owners to this law is, therefore, key for the conservation of the giant anteater. The intense use of unpaved roads might reflect travelling and/or foraging optimization, a behavioral response that, nevertheless, may compound this species’ susceptibility to suffer mortality from roadkill.


2017 ◽  
Vol 141 ◽  
pp. 97-108 ◽  
Author(s):  
Cheng Li ◽  
Pavana K.R. Vennapusa ◽  
Jeramy Ashlock ◽  
David J. White
Keyword(s):  

2009 ◽  
Vol 135 (10) ◽  
pp. 702-710 ◽  
Author(s):  
George Huntington ◽  
Khaled Ksaibati
Keyword(s):  

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