scholarly journals Soil erodibility assessment in a pasture and forest remnant using the Inderbitzen device

2013 ◽  
Author(s):  
A. I. Ribeiro ◽  
L. F. Gonzalez ◽  
R. M. Longo ◽  
G. A. de Medeiros ◽  
A. H. Rosa ◽  
...  
Keyword(s):  
Soil Erodibility ◽  
Forest Remnant

Anti-soil erodibility of different land use types in Northwest Guangxi Karst Regions

2012 ◽  
Vol 20 (1) ◽  
pp. 105-110 ◽  
Author(s):  
Jia CHEN ◽  
Hong-Song CHEN ◽  
Teng FENG ◽  
Ke-Lin WANG ◽  
Wei ZHANG
Keyword(s):  
Land Use ◽  
Soil Erodibility ◽  
Land Use Types

Influence of Long-term Cropping Systems on Soil Physical Properties Related to Soil Erodibility

2003 ◽  
Vol 67 (2) ◽  
pp. 637 ◽  
Author(s):  
Achmad Rachman ◽  
S. H. Anderson ◽  
C. J. Gantzer ◽  
A. L. Thompson
Keyword(s):  
Physical Properties ◽  
Cropping Systems ◽  
Soil Physical Properties ◽  
Soil Erodibility

scholarly journals Análisis del efecto de variables ambientales en la estimación de la erosionabilidad (Factor K) = Analysis of the Effect of Environmental Variables on the Soil Erodibility Estimation (K Factor)

2018 ◽  
pp. 195
Author(s):  
Pedro Perez Cutillas ◽  
Gonzalo G. Barberá ◽  
Carmelo Conesa García
Keyword(s):  
Remote Sensing ◽  
Environmental Variables ◽  
Input Data ◽  
Vegetation Index ◽  
Mineralogical Composition ◽  
Soil Erodibility ◽  
Estimation Algorithms ◽  
K Factor ◽  
Remote Sensing Techniques

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.

Tortoise beetles of an Atlantic Forest remnant in south Minas Gerais, Brazil: host plants and life history

2021 ◽  
Vol 55 (1-2) ◽  
pp. 15-60
Author(s):  
Paula A. A. Gomes ◽  
Marcel G. Hermes ◽  
Flávia R. Fernandes ◽  
Fernando A. Frieiro-Costa
Keyword(s):  
Life History ◽  
Atlantic Forest ◽  
Host Plants ◽  
Minas Gerais ◽  
Forest Remnant

Revegetation induced change in soil erodibility as influenced by slope situation on the Loess Plateau

2021 ◽  
Vol 772 ◽  
pp. 145540
Author(s):  
Mingming Guo ◽  
Zhuoxin Chen ◽  
Wenlong Wang ◽  
Tianchao Wang ◽  
Wenxin Wang ◽  
...  
Keyword(s):  
Loess Plateau ◽  
Soil Erodibility ◽  
The Loess Plateau
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