In particular, we explore agricultural experts' perceptions on (i) climatic and non-climatic factors stimulating private adaptation, (ii) farm adaption actions, (iii) potential on-farm and off-farm effects from adaptation, and (iv) the relationships between private and public adaptation.
Wall paintings are very sensitive to multiple factors such as (i) climatic conditions, especially temperature and humidity [9, 10], (ii) presence of soluble salts, (iii) microbiological activity, and (iv) external factors like vandalism or tourism [10].
Different values reflect site (i.e., climatic) differences and variation along stem height (pine), as observed by Trendelenburg and Mayer-Wegelin (1964).
The GAMLSS model (Rigby and Stasinopoulos 2005) assumes a parametric distribution for the response variable Y, the seasonal precipitation amount in this study, and models the distribution parameters as functions of an explanatory variable, time t i and the climatic indices AO i, NPO i, PDO i, and SOI i.
The comparison of the studied soils with some lateritic soils in Sub-Saharan Africa indicates that i) genesis and climatic conditions are potentials factors that influence EIP of lateritic soils, ii) lateritic soils developed under semi-arid conditions exhibits EIP better than those developed under tropicaland sub-tropical conditions.
This paper begins with an overview of the African rainfall regime, noting in particular the contrast among various regions of the continent, followed by a description of the nature of climatic (i.e., rainfall) variability over Africa on time scales of decades and centuries.
In this section we discuss uncertainties and limitations concerning the method: The quality of the input geographic information (i.e. climatic and occurrence data) directly affects the performance of species distributions models [53], [57], [58], [60], [62], [74].
This was probably induced by two concomitant causal factors, i.e. climatic changes and explosive human population growth [ 31].
We fitted a series of macro-evolutionary models based on 19 bioclimatic variables (i.e., climatic niches) to better understand the biogeographic patterns of three closely related species, P. fasciculata, P. tibetica and P. nutans.
Each MSA was classified into one of the (i) nine US climatic regions and (ii) eight latitude categories spanning the continental U.S. (<30°N, >42°N, and six categories in between in 2° intervals).
DOI: http://dx.doi.org/10.7554/eLife.08411.006 We used genotype correlation within a cluster as a measure of replicability of ED effects: the higher the genotype correlation, the more gene expression response was driven by factors common to both genotypes (i.e., climatic and developmental factors).
