1000 resultados para mata Atlantica
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La conservation des groupements à Pistacia atlantica dans la région de Béchar est actuellement menacée par une forte pression humaine et animale. Ce travail consiste à proposer une analyse phyto-écologique fine en se basant sur la dynamique de végétation et les inventaires floristiques. Les explications sont étayées par une analyse statistique (AFC) afin de mieux cerner les facteurs écologiques prépondérants. Nous savons très bien que Pistacia atlantica est une espèce d’avenir pour l’Algérie occidentale, son adaptation au stress écologique lui permet une dynamique et une remontée biologique certaine. Cette espèce peut vivre dans des endroits très secs, de 700 à 1200m d’altitude où la pluviométrie ne dépasse guère les 100 mm/an, avec une température maximale de 42°C et un quotient pluviothermique (Q2) supérieur à 7. La diversité floristique du groupement à Pistacia atlantica est très particulière du fait de sa caractérisation biologique, systématique et phytogéographique. Cet examen fait ressortir l’importance des espèces Saharienne-Endémiques grâce à une adaptation et une résistance plus favorables sous bioclimat typiquement saharien.
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This package includes various Mata functions. kern(): various kernel functions; kint(): kernel integral functions; kdel0(): canonical bandwidth of kernel; quantile(): quantile function; median(): median; iqrange(): inter-quartile range; ecdf(): cumulative distribution function; relrank(): grade transformation; ranks(): ranks/cumulative frequencies; freq(): compute frequency counts; histogram(): produce histogram data; mgof(): multinomial goodness-of-fit tests; collapse(): summary statistics by subgroups; _collapse(): summary statistics by subgroups; gini(): Gini coefficient; sample(): draw random sample; srswr(): SRS with replacement; srswor(): SRS without replacement; upswr(): UPS with replacement; upswor(): UPS without replacement; bs(): bootstrap estimation; bs2(): bootstrap estimation; bs_report(): report bootstrap results; jk(): jackknife estimation; jk_report(): report jackknife results; subset(): obtain subsets, one at a time; composition(): obtain compositions, one by one; ncompositions(): determine number of compositions; partition(): obtain partitions, one at a time; npartitionss(): determine number of partitions; rsubset(): draw random subset; rcomposition(): draw random composition; colvar(): variance, by column; meancolvar(): mean and variance, by column; variance0(): population variance; meanvariance0(): mean and population variance; mse(): mean squared error; colmse(): mean squared error, by column; sse(): sum of squared errors; colsse(): sum of squared errors, by column; benford(): Benford distribution; cauchy(): cumulative Cauchy-Lorentz dist.; cauchyden(): Cauchy-Lorentz density; cauchytail(): reverse cumulative Cauchy-Lorentz; invcauchy(): inverse cumulative Cauchy-Lorentz; rbinomial(): generate binomial random numbers; cebinomial(): cond. expect. of binomial r.v.; root(): Brent's univariate zero finder; nrroot(): Newton-Raphson zero finder; finvert(): univariate function inverter; integrate_sr(): univariate function integration (Simpson's rule); integrate_38(): univariate function integration (Simpson's 3/8 rule); ipolate(): linear interpolation; polint(): polynomial inter-/extrapolation; plot(): Draw twoway plot; _plot(): Draw twoway plot; panels(): identify nested panel structure; _panels(): identify panel sizes; npanels(): identify number of panels; nunique(): count number of distinct values; nuniqrows(): count number of unique rows; isconstant(): whether matrix is constant; nobs(): number of observations; colrunsum(): running sum of each column; linbin(): linear binning; fastlinbin(): fast linear binning; exactbin(): exact binning; makegrid(): equally spaced grid points; cut(): categorize data vector; posof(): find element in vector; which(): positions of nonzero elements; locate(): search an ordered vector; hunt(): consecutive search; cond(): matrix conditional operator; expand(): duplicate single rows/columns; _expand(): duplicate rows/columns in place; repeat(): duplicate contents as a whole; _repeat(): duplicate contents in place; unorder2(): stable version of unorder(); jumble2(): stable version of jumble(); _jumble2(): stable version of _jumble(); pieces(): break string into pieces; npieces(): count number of pieces; _npieces(): count number of pieces; invtokens(): reverse of tokens(); realofstr(): convert string into real; strexpand(): expand string argument; matlist(): display a (real) matrix; insheet(): read spreadsheet file; infile(): read free-format file; outsheet(): write spreadsheet file; callf(): pass optional args to function; callf_setup(): setup for mm_callf().
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Incluye cuadro estadístico.
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CCBE S. XVI
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"Vida del observantissimo padre fray Iuan de San Joseph", h. 228-234. "Vida de...Fr. Simon de Roxas, confessor de la reyna de España. D Isabel". v. h. 234-251. "Vida de los martires fray Bernardo de Monroy y sus compañeros...", v. h. 251-256. "Vida de... fr. Miguel de los Santos", h.256-263. "Vida de...fray Thomas de la Virgen", v. h. 263-283.
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Mode of access: Internet.
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Mode of access: Internet.