<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Defining and sustaining populations and communities</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Ramona Walls</string-name>
          <email>rwalls@cyverse.org</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>CyVerse University of Arizona Tucson</institution>
          ,
          <addr-line>AZ</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>-The UN Sustainable Development Goals (SDGs) cover subjects such as ending poverty, achieving gender equality, ensuring access to water, energy, and food, and protecting ecosystems. Every SDG includes wording that refers directly or indirectly to a population or community or organisms, humans or otherwise. Therefore, the Population and Community Ontology (PCO) plays a crucial role in defining the language of the SDGs and their targets and indicators. This talk will describe the PCO and its applicability to sustainability studies.</p>
      </abstract>
      <kwd-group>
        <kwd>ontology</kwd>
        <kwd>population</kwd>
        <kwd>community</kwd>
        <kwd>sustainability</kwd>
        <kwd>United Nations Sustainable Development Goals</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>I. REFINING THE POPULATION AND COMMUNITY ONTOLOGY</p>
      <p>FOR SUSTAINABILITY RESEARCH</p>
      <p>PCO curators are striving to capture the collective
knowledge of the fields of population biology and
community ecology, two large sub-disciplines ecology, each
with a long history, well-established theories, and extensive
literature. As in many well-established fields, the
terminology used by population and community ecologists
varies widely among studies and suffers from a lack of
precision. Furthermore, the words “population” and
“community” are used in many disciplines outside of
ecology, each with meanings of their own. To be useful
across as many applications as possible, PCO defines a very
high level term for populations and communities labeled
“collection of organisms”. Subclasses are defined based on
fundamental characteristics by which organisms are grouped
in research, such as the processes in which they participate,
common descent, phenotype, or social constructs. Design
patterns for collections of organisms in PCO are described
in more detail in [2].</p>
      <p>PCO is a component of a new ontology, the SDG
Interface Ontology (SDGIO). SDGIO aims to clearly and
logically specify the language of the SDGs and their
indicators, so that the data needed to assess the indicators
will be more accessible and useful. Three representative
SDGs:
•
•
•</p>
      <p>Goal 3: Ensure healthy lives and promote well-being
for all at all ages
Goal 10: Reduce inequality within and among
countries
Goal 14: and Conserve and sustainably use the
oceans, seas and marine resources for sustainable
development.
suggest how the goals can only be achieved by the study of
collections of organisms. For example, goals 3 and 10 cover
well-being and equality. When assessing the targets and
indicators for these goals on a global scale, these
characteristics must be measured at the level of populations
of humans (often referred to as communities). Sustainable
use of the oceans in goal 14 must be measured in terms of
ocean ecosystems that cannot be separated from the
populations of organisms that inhabit them. Through the
SDGIO, the PCO offers the opportunity to apply population
biology and community ecology theory to sustainability
research through data annotation based on PCO terms.</p>
    </sec>
  </body>
  <back>
    <ref-list />
  </back>
</article>