<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>     caa a22        4500</leader>
  <controlfield tag="001">467918910</controlfield>
  <controlfield tag="003">CHVBK</controlfield>
  <controlfield tag="005">20180406152911.0</controlfield>
  <controlfield tag="007">cr unu---uuuuu</controlfield>
  <controlfield tag="008">170328e20060601xx      s     000 0 eng  </controlfield>
  <datafield tag="024" ind1="7" ind2="0">
   <subfield code="a">10.1007/s10584-005-9041-y</subfield>
   <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">(NATIONALLICENCE)springer-10.1007/s10584-005-9041-y</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
   <subfield code="a">Nigh</subfield>
   <subfield code="D">Gordon</subfield>
   <subfield code="u">Research Branch, BC Ministry of Forests, Stn. Prov. Govt., P.O. Box 9519, V8W 9C2, Victoria, British Columbia, Canada</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
   <subfield code="a">Impact of Climate, Moisture Regime, and Nutrient Regime on the Productivity of Douglas-Fir in Coastal British Columbia, Canada</subfield>
   <subfield code="h">[Elektronische Daten]</subfield>
   <subfield code="c">[Gordon Nigh]</subfield>
  </datafield>
  <datafield tag="520" ind1="3" ind2=" ">
   <subfield code="a">Future climate change is expected to have many impacts on forest ecosystems. It is important to have some understanding of these impacts in order to make informed forest management decisions. A major consideration in making forest management decisions is the productivity of a site, as measured by site index. In this study, I relate Douglas-fir site index to accumulated growing degree-days greater than 5°C (DD5), as well as to soil moisture and nutrient regime. This allows the impact of climate change on forest productivity to be estimated. A two step approach was followed. The first step derived models to estimate various climate variables to latitude, longitude, and elevation using data from climate stations. Then, these climate variables were used along with soil moisture and nutrient data to predict site index for the site index plots. A two step approach was taken because climatic data were not available for the site index plots. The trend was for site index to increase with both increasing soil moisture and nutrients, although the site index decreased on the wetter sites. Site index also increased with DD5 at the rate of 1.2 m for every increase of 100 units in DD5. These models can be used together to evaluate the impact of various climate change scenarios on site index.</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
   <subfield code="a">Springer Science+Business Media, Inc., 2006</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
   <subfield code="t">Climatic Change</subfield>
   <subfield code="d">Kluwer Academic Publishers</subfield>
   <subfield code="g">76/3-4(2006-06-01), 321-337</subfield>
   <subfield code="x">0165-0009</subfield>
   <subfield code="q">76:3-4&lt;321</subfield>
   <subfield code="1">2006</subfield>
   <subfield code="2">76</subfield>
   <subfield code="o">10584</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
   <subfield code="u">https://doi.org/10.1007/s10584-005-9041-y</subfield>
   <subfield code="q">text/html</subfield>
   <subfield code="z">Onlinezugriff via DOI</subfield>
  </datafield>
  <datafield tag="908" ind1=" " ind2=" ">
   <subfield code="D">1</subfield>
   <subfield code="a">research-article</subfield>
   <subfield code="2">jats</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">856</subfield>
   <subfield code="E">40</subfield>
   <subfield code="u">https://doi.org/10.1007/s10584-005-9041-y</subfield>
   <subfield code="q">text/html</subfield>
   <subfield code="z">Onlinezugriff via DOI</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">100</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Nigh</subfield>
   <subfield code="D">Gordon</subfield>
   <subfield code="u">Research Branch, BC Ministry of Forests, Stn. Prov. Govt., P.O. Box 9519, V8W 9C2, Victoria, British Columbia, Canada</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">773</subfield>
   <subfield code="E">0-</subfield>
   <subfield code="t">Climatic Change</subfield>
   <subfield code="d">Kluwer Academic Publishers</subfield>
   <subfield code="g">76/3-4(2006-06-01), 321-337</subfield>
   <subfield code="x">0165-0009</subfield>
   <subfield code="q">76:3-4&lt;321</subfield>
   <subfield code="1">2006</subfield>
   <subfield code="2">76</subfield>
   <subfield code="o">10584</subfield>
  </datafield>
  <datafield tag="900" ind1=" " ind2="7">
   <subfield code="a">Metadata rights reserved</subfield>
   <subfield code="b">Springer special CC-BY-NC licence</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="898" ind1=" " ind2=" ">
   <subfield code="a">BK010053</subfield>
   <subfield code="b">XK010053</subfield>
   <subfield code="c">XK010000</subfield>
  </datafield>
  <datafield tag="949" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="F">NATIONALLICENCE</subfield>
   <subfield code="b">NL-springer</subfield>
  </datafield>
 </record>
</collection>
