Results 31 to 40 of about 170,155 (161)

Environmental effects on the covariation among pace‐of‐life traits

Ethology, 2019
Abstract Pace‐of‐life syndromes (POLSs) are suites of life‐history, physiological and behavioural traits that arise due to trade‐offs between allocation to current and future reproduction. Traits generally show covariation that can arise from genetic and environmental influences on phenotypes and constrain the independent evolution of
Anni Hämäläinen, Anja Guenther, Samantha Patrick, Wiebke Schuett   +3 more
openaire   +4 more sources

Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus

Agriculture, 2022
Predicting soil chemical properties such as soil organic carbon (SOC) and available phosphorus (Ava-P) content is critical in areas where different land uses exist. The distribution of SOC and Ava-P is influenced by both natural and anthropogenic factors.
Fuat Kaya, Ali Keshavarzi, Rosa Francaviglia, Gordana Kaplan, Levent Başayiğit, Mert Dedeoğlu   +5 more
doaj   +1 more source

Environmental covariates: Effects on the power of sib‐pair linkage methods [PDF]

Genetic Epidemiology, 1999
AbstractThe effect of inclusion of environmental risk factors on the power of sib‐pair linkage methods was tested for a qualitative trait. It was found that inclusion of an environmental variable did not increase the power of the Haseman‐Elston (H‐E) sib‐pair nonparametric linkage analysis test. However, a significant increase in power was observed for
D M, Mandal, A J, Sorant, E W, Pugh, S E, Marcus, A P, Klein, R A, Mathias, J, O'Neill, L F, Temiyakarn, A F, Wilson, J E, Bailey-Wilson   +9 more
openaire   +2 more sources

Optimal Mapping of Soil Erodibility in a Plateau Lake Watershed: Empirical Models Empowered by Machine Learning

Remote Sensing
Soil erodibility (K) refers to the inherent ability of soil to withstand erosion. Accurate estimation and spatial prediction of K values are vital for assessing soil erosion and managing land resources.
Jiaxue Wang, Yujiao Wei, Zheng Sun, Shixiang Gu, Shihan Bai, Jinming Chen, Jing Chen, Yongsheng Hong, Yiyun Chen   +8 more
doaj   +1 more source

Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil

Pesquisa Agropecuária Brasileira, 2021
The objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goiás, Brazil, through
Rafael Ferreira Montes, Flávio Breseghello, João Batista Duarte   +2 more
doaj   +1 more source

Modeling and mapping spatial distribution of baseline soil organic carbon stock, a case of West Hararghe, Oromia Regional State, Eastern Ethiopia

Geology, Ecology, and Landscapes
Location-specific information on soil organic carbon (SOC) helps to identify potential sources and sinks of carbon. The objective of this study was to produce a 30m-resolution digital map of SOC stock for selected districts in West Hararghe Zone of ...
Martha Kidemu Negassa, Mitiku Haile, Gudina Legesse Feyisa, Lemma Wogi, Feyera Merga   +4 more
doaj   +1 more source

ANALYSIS OF CHARACTER DIVERGENCE ALONG ENVIRONMENTAL GRADIENTS AND OTHER COVARIATES [PDF]

Evolution, 2007
Character displacement is typically identified by comparing phenotypic differences in sympatry and allopatry. Recently, however, Goldberg and Lande (2006) pointed out that when phenotypic characters vary along an environmental gradient, the standard approach may fail to identify sympatric character divergence.
Dean C, Adams, Michael L, Collyer
openaire   +2 more sources

Weak Environmental Controls of Tropical Forest Canopy Height in the Guiana Shield

Remote Sensing, 2016
Canopy height is a key variable in tropical forest functioning and for regional carbon inventories. We investigate the spatial structure of the canopy height of a tropical forest, its relationship with environmental physical covariates, and the ...
Youven Goulamoussène, Caroline Bedeau, Laurent Descroix, Vincent Deblauwe, Laurent Linguet, Bruno Hérault   +5 more
doaj   +1 more source

Using Machine Learning Algorithms to Estimate Soil Organic Carbon Variability with Environmental Variables and Soil Nutrient Indicators in an Alluvial Soil

Land, 2020
Soil organic carbon (SOC) is an important indicator of soil quality and directly determines soil fertility. Hence, understanding its spatial distribution and controlling factors is necessary for efficient and sustainable soil nutrient management. In this
Kingsley JOHN, Isong Abraham Isong, Ndiye Michael Kebonye, Esther Okon Ayito, Prince Chapman Agyeman, Sunday Marcus Afu   +5 more
doaj   +1 more source

A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect

Environmental Research Letters, 2022
Cropland soil carbon not only serves food security but also contributes to the stability of the terrestrial ecosystem carbon pool due to the strong interconnection with atmospheric carbon dioxide.
Haili Huang, Lin Yang, Lei Zhang, Yue Pu, Chenconghai Yang, Qi Wu, Yanyan Cai, Feixue Shen, Chenghu Zhou   +8 more
doaj   +1 more source