All of the patterns obviously showed sigmoidal matchmaking although record-converting city and you will kinds (Fig 2)
Assemblage specific models varied in the predicted species richness based on their sensitivity to deforestation. Pair-wise permutation tests comparing predicted species richness between the entire small mammal assemblage, native species forest assemblage, and forest-specialist assemblage for the Atlantic Forest of Paraguay were highly significant (P < 0.0001; Fig 2). SESARS models for the entire and native species forest assemblages showed parallel patterns and, as expected, the entire assemblage showed consistently higher species richness throughout the region. For Atlantic Forest remnants in Paraguay that were 0.50 ha and greater, species richness estimates varied from 6 to 12 species for the entire assemblage, 5 to 10 species for the native species forest assemblage, and 2 to 5 species for the forest-specialist assemblage (including all the likely models: logistic, power, exponential, and rational). Species richness and area plots of the raw data showed that most of the species accumulations appeared at relatively small areas (Fig 2C) and with different hypothetical sampling efforts for the entire assemblage and native species forest assemblage, and most species accumulation was reached for forest specialists when forest area was considerably larger.
The plots inform you Good) log-town and you can predicted species relationship; B) city and predicted kinds richness matchmaking, and this reveal that really types accumulations was indeed hit at relatively short tree components; and you may C) brand new log urban area and you may journal kinds relationships that are valuable to possess assessment of designs from types accumulations
Plots portray the best-fit patterns for your assemblage of short animals (SppEntire), brand new indigenous variety tree (SppForest), and you can four varieties-area habits having forest professionals (logistic: SppLog, power: SppPow, exponential: SppExp, and you will ratio: SppRat). (далее…)