DOI: 10.5061/dryad.m63xsj48q
title: Data from: Disentangling the dynamics among climate, food availability, and reproduction in a pair-living, monogamous primate

description: We examined the hypothesis that pair-living, monogamous social systems
 evolved in environments with evenly distributed food resources, a
 homogenous distribution of females in space prevents males from
 monopolizing more than one female. Our study investigated the interplay
 between climatic variables (ambient temperature, rainfall), food
 availability (forest structure, phenology data), and infant production in
 a pair-living monogamous owl monkey population (322 births, 21 years, 22
 groups) in the humid Chaco of Argentina. Associations between climatology
 and fruit availability ranged from -0.29 to 0.38, and some extreme events
 negatively impacted fruit availability. Variation in fruit availability
 was higher among years than territories, whereas infant production varied
 more among territories than it did across years. Our study makes specific
 contributions to examining the hypothetical “homogeneity” in the temporal
 and spatial distribution of food available to a pair-living monogamous
 primate and how such variation relates to infant production in the
 population.
description: # Disentangling the dynamics among climate, food availability, and
 reproduction in a pair-living, monogamous primate Our analyses were
 divided into three parts. Part 1 examines the relationship between climate
 and food availability. Part 2 investigates how homogeneous the production
 of food is across territories and years. Part 3 explores the relationships
 between food availability and the birth of a new infant across territories
 and years. The csv files contain all the data necessary for the three
 parts of the analysis we conducted. All code (R) for each part is also
 available. | **Part 1 Analyses** | | | | | |
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 -------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- | | **Variable name** | **Type of variable** | **Modeled as** | **Description** | **Column header within the csv file** | | Fruit Production | Counts | Outcome | Number of fruits (fruits/mo) available during the gestation season (May – August) in the entire study area. | fruits\_per\_year | | Mean | Continuous Numerical | Explanatory | Mean monthly values (°C) of local ambient temperature during Lag 1 | tmed\_feb\_mar\_apr | | Minimum Temperature | Continuous Numerical | Explanatory | Mean minimum monthly values (°C) of local ambient temperature during Lag 1 | tmin\_feb\_mar\_apr | | Maximum Temperature | Continuous Numerical | Explanatory | Mean maximum monthly values (°C) of local ambient temperature during Lag 1 | tmax\_feb\_mar\_apr | | Mean | Continuous Numerical | Explanatory | Mean monthly values (°C) of local ambient temperature during Lag 2 | tmed\_oct\_nov\_dec | | Minimum Temperature | Continuous Numerical | Explanatory | Mean minimum monthly values (°C) of local ambient temperature during Lag 2 | tmin\_oct\_nov\_dec | | Maximum Temperature | Continuous Numerical | Explanatory | Mean maximum monthly values (°C) of local ambient temperature during Lag 2 | tmax\_oct\_nov\_dec | | Sum Rainfall Lag 1 | Discrete Numerical | Explanatory | Cumulative monthly values (mm) of local rainfall during Lag 1 | pp\_feb\_mar\_apr | | Sum Rainfall Lag 2 | Discrete Numerical | Explanatory | Cumulative monthly values (mm) of local rainfall during Lag 2 | pp\_oct\_nov\_dec | | Days Temp &gt; 95% Lag 1 | Discrete Numerical | Explanatory | Number of days per month when maximum temperatures (°C) were above the 95th percentiles during Lag 1 | days\_above\_tmax\_feb\_mar\_apr | | Days Temp &lt; 5% Lag 1 | Discrete Numerical | Explanatory | Number of days per month when minimum temperatures (°C) were below the 5th percentiles during Lag 1 | days\_below\_tmin\_feb\_mar\_apr | | Days Temp &gt; 95% Lag 2 | Discrete Numerical | Explanatory | Number of days per month when maximum temperatures (°C) were above the 95th percentiles during Lag 2 | days\_above\_tmax\_oct\_nov\_dec | | Days Temp &lt; 5% Lag 2 | Discrete Numerical | Explanatory | Number of days per month when minimum temperatures (°C) were below the 5th percentiles during Lag 2 | days\_below\_tmin\_oct\_nov\_dec | | Days no Rain Lag 1 | Discrete Numerical | Explanatory | Maximum number of consecutive days per month with no rainfall during Lag 1 | no\_rainy\_day\_feb | | Days no Rain Lag 2 | Discrete Numerical | Explanatory | Maximum number of consecutive days per month with no rainfall during Lag 2 | no\_rainy\_day\_oct | | Regional precipitation patterns Lag 1 | Discrete Numerical | Explanatory | Cumulative monthly values (mm) of regional rainfall from the watershed between the Pilcomayo and Bermejo rivers during Lag 1 | pp\_reg\_feb\_mar\_apr | | Regional precipitation patterns Lag 2 | Discrete Numerical | Explanatory | Cumulative monthly values (mm) of regional rainfall from the watershed between the Pilcomayo and Bermejo rivers during Lag 2 | pp\_reg\_oct\_nov\_dec | | ENSO | Continuous Numerical | Explanatory | El Niño-Southern Oscillation (ENSO) 3.4 index | enso34 | | **Part 2 Analyses** | ** ** | | | | | **Variable name** | **Type of variable** | **Modeled as** | **Description** | **Column header within the csv file** | | Fruit Availability | Counts | Outcome | Number of fruits (fruits/territory) available during the gestation season (May – August) in each territory. | phen\_sum\_terr\_sum\_season | | Territory Group | Categorical | Explanatory | Name of each of the 19 different territory/groups included in this study. | territory\_90 | | Year | Categorical | Explanatory | Year. | YM\_yy | | **Part 3 Analyses** | ** ** | | | | | **Variable name** | **Type of variable** | **Modeled as** | **Description** | **Column header within the csv file** | | Births | Categorical | Outcome | Whether there was a birth or not in a given group each year (zero or one). | birth | | Fruit Preconception | Counts | Explanatory | Mean number of fruits (fruits/mo/territory) available during each preconception season in each group over the years (2003-2021). | fr\_phen\_sum\_terr\_mate\_forw | | Fruit Gestation | Counts | Explanatory | Mean number of fruits (fruits/mo/territory) available during each gestation season in each group over the years (2003-2021). | fr\_phen\_sum\_terr\_preg | | Flower | Counts | Explanatory | Mean number of flowers (cm2/mo/territory) available during each preconception season in each group over the years (2003-2021). | fl\_phen\_sum\_terr\_mate\_forw | | Flower Gestation | Counts | Explanatory | Mean number of flowers (cm2/mo/territory) available during each gestation season in each group over the years (2003-2021). | fl\_phen\_sum\_terr\_preg | | Leaves Preconception | Counts | Explanatory | Mean number of leaves (cm2/mo/territory) available during each preconception season in each group over the years (2003-2021). | le\_phen\_sum\_terr\_mate\_forw | | Leaves Gestation | Counts | Explanatory | Mean number of leaves (cm2/mo/territory) available during each gestation season in each group over the years (2003-2021). | le\_phen\_sum\_terr\_preg |