<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-12T04:37:58Z</responseDate>
  <request identifier="oai:figshare.com:article/34047721" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34047721</identifier>
        <datestamp>2026-10-01T17:26:48Z</datestamp>
        <setSpec>category_12</setSpec>
        <setSpec>category_24</setSpec>
        <setSpec>category_272</setSpec>
        <setSpec>category_39</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_133</setSpec>
        <setSpec>portal_5</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_10_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>&lt;p&gt;Regional total precipitation across the study area in Santander, Colombia, derived from ERA5-Land reanalysis data.&lt;/p&gt;</dc:title>
          <dc:creator>Diego Garcia Castillo (25157692)</dc:creator>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>type vegetation density</dc:subject>
          <dc:subject>scale environmental gradients</dc:subject>
          <dc:subject>realized niche breadth</dc:subject>
          <dc:subject>interspecific niche partitioning</dc:subject>
          <dc:subject>integrating hemispherical photography</dc:subject>
          <dc:subject>excluding others according</dc:subject>
          <dc:subject>114 colonies across</dc:subject>
          <dc:subject>strong ecological filter</dc:subject>
          <dc:subject>generalist ecological strategies</dc:subject>
          <dc:subject>ecological niche breadth</dc:subject>
          <dc:subject>principal component analysis</dc:subject>
          <dc:subject>narrower edaphic dispersion</dc:subject>
          <dc:subject>div &gt;&lt; p</dc:subject>
          <dc:subject>cutter ants respond</dc:subject>
          <dc:subject>alongside macroclimatic data</dc:subject>
          <dc:subject>atta laevigata &lt;/</dc:subject>
          <dc:subject>atta cephalotes &lt;/</dc:subject>
          <dc:subject>cutter ants</dc:subject>
          <dc:subject>laevigata &lt;/</dc:subject>
          <dc:subject>ecological consequences</dc:subject>
          <dc:subject>cephalotes &lt;/</dc:subject>
          <dc:subject>principal axes</dc:subject>
          <dc:subject>microclimatic data</dc:subject>
          <dc:subject>macroclimatic conditions</dc:subject>
          <dc:subject>edaphic profiles</dc:subject>
          <dc:subject>woody ecosystems</dc:subject>
          <dc:subject>wider range</dc:subject>
          <dc:subject>warmer micro</dc:subject>
          <dc:subject>use change</dc:subject>
          <dc:subject>urban areas</dc:subject>
          <dc:subject>regional transect</dc:subject>
          <dc:subject>previous reports</dc:subject>
          <dc:subject>predominantly associated</dc:subject>
          <dc:subject>neotropical leaf</dc:subject>
          <dc:subject>mound architecture</dc:subject>
          <dc:subject>microhabitat conditions</dc:subject>
          <dc:subject>generalism vs</dc:subject>
          <dc:subject>findings suggest</dc:subject>
          <dc:subject>colombian andes</dc:subject>
          <dc:subject>canopy areas</dc:subject>
          <dc:subject>anthropogenic filters</dc:subject>
          <dc:description>&lt;p&gt;Panels &lt;b&gt;(A–B)&lt;/b&gt; show the total annual accumulated precipitation (m) in 2024 and 2025, respectively, using a shared colour scale ranging from approximately 1.6 m (yellow; lower precipitation) to 2.5 m (deep blue; higher precipitation). Panel &lt;b&gt;(C)&lt;/b&gt; shows cumulative precipitation from January to July 2026 and uses a separate colour scale because it represents a partial year. All climatic heatmaps are georeferenced and overlaid on an OpenStreetMap basemap of the sampling region. Black points indicate the fieldwork locations where &lt;i&gt;Atta&lt;/i&gt; colonies were surveyed, with location names provided for geographic reference across the latitudinal and elevational gradient of the study area. The map contains information from OpenStreetMap and OpenStreetMap Foundation, which is made available under the Open Database License. Map generated using Python 3.12.3 with the Matplotlib, Geopandas, and Contextily libraries.&lt;/p&gt; &lt;p&gt;(DOCX)&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T17:26:32Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1371/journal.pone.0351518.s013</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/_p_Regional_total_precipitation_across_the_study_area_in_Santander_Colombia_derived_from_ERA5-Land_reanalysis_data_p_/34047721</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
