{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T14:40:01Z","timestamp":1783435201543,"version":"3.54.6"},"reference-count":78,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2016,3,11]],"date-time":"2016-03-11T00:00:00Z","timestamp":1457654400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Biodiversity in China is analyzed based on the components of the Dynamic Habitat Index (DHI). First, observed field survey based spatial patterns of species richness including threatened species are presented to test their linear relationship with remote sensing based DHI (2001\u20132010 MODIS). Areas with a high cumulative DHI component are associated with relatively high species richness, and threatened species richness increases in regions with frequently varying levels of the cumulative DHI component. The analysis of geographical and statistical distributions yields the following results on interdependence, polarization and change detection: (1) The decadal mean Cumulative Annual Productivity (DHI-\\(\\overline{cum}\\)                                                                 &lt; 4) in Northwest China and (DHI-\\(\\overline{cum}\\)                                                                  &gt; 4) in Southeast China are in a stable (positive) relation to the Minimum Annual Apparent Cover (DHI-\\(\\overline{min}\\)) and is positively (negatively) related to the Seasonal Variation of Greenness (DHI-\\(\\overline{sea}\\)); (2) The decadal tendencies show bimodal frequency distributions aligned near DHI-\\(\\overline{min}\\)~0.05 and DHI-\\(\\overline{sea}\\)~0.5 which separated by zero slopes; that is, regions with both small DHI-min and DHI-sea are becoming smaller and vice versa; (3) The decadal tendencies identify regions of land-cover change (as revealed in previous research). That is, the relation of strong and significant tendencies of the three DHI components with climatic or anthropogenic induced changes provides useful information for conservation planning. These results suggest that the spatial-temporal dynamics of China\u2019s terrestrial species and threatened species richness needs to be monitored by first and second moments of remote sensing based information of the DHI.<\/jats:p>","DOI":"10.3390\/rs8030227","type":"journal-article","created":{"date-parts":[[2016,3,14]],"date-time":"2016-03-14T11:03:45Z","timestamp":1457953425000},"page":"227","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Spatial-Temporal Dynamics of China\u2019s Terrestrial Biodiversity: A Dynamic Habitat Index Diagnostic"],"prefix":"10.3390","volume":"8","author":[{"given":"Chunyan","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8986-1354","authenticated-orcid":false,"given":"Danlu","family":"Cai","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Guo","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanning","family":"Guan","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Klaus","family":"Fraedrich","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Meteorology, Hamburg 20146, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yueping","family":"Nie","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuying","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolin","family":"Bian","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,3,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1632","DOI":"10.1126\/science.1101101","article-title":"Species coextinctions and the biodiversity crisis","volume":"305","author":"Koh","year":"2004","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1146\/annurev.energy.28.050302.105532","article-title":"Global state of biodiversity and loss","volume":"28","author":"Dirzo","year":"2003","journal-title":"Ann. 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