Title |
Forgotten forests - issues and prospects in biome mapping using Seasonally Dry Tropical Forests as a case study
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Published in |
BMC Ecology and Evolution, November 2011
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DOI | 10.1186/1472-6785-11-27 |
Pubmed ID | |
Authors |
Tiina Särkinen, João RV Iganci, Reynaldo Linares-Palomino, Marcelo F Simon, Darién E Prado |
Abstract |
South America is one of the most species diverse continents in the world. Within South America diversity is not distributed evenly at both local and continental scales and this has led to the recognition of various areas with unique species assemblages. Several schemes currently exist which divide the continental-level diversity into large species assemblages referred to as biomes. Here we review five currently available biome maps for South America, including the WWF Ecoregions, the Americas basemap, the Land Cover Map of South America, Morrone's Biogeographic regions of Latin America, and the Ecological Systems Map. The comparison is performed through a case study on the Seasonally Dry Tropical Forest (SDTF) biome using herbarium data of habitat specialist species. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 9 | 4% |
Peru | 2 | <1% |
United Kingdom | 2 | <1% |
France | 1 | <1% |
Switzerland | 1 | <1% |
Colombia | 1 | <1% |
Argentina | 1 | <1% |
Denmark | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 219 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 44 | 18% |
Student > Master | 40 | 17% |
Student > Ph. D. Student | 39 | 16% |
Student > Bachelor | 33 | 14% |
Student > Doctoral Student | 18 | 8% |
Other | 42 | 18% |
Unknown | 23 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 123 | 51% |
Environmental Science | 47 | 20% |
Earth and Planetary Sciences | 13 | 5% |
Biochemistry, Genetics and Molecular Biology | 8 | 3% |
Engineering | 6 | 3% |
Other | 10 | 4% |
Unknown | 32 | 13% |