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Data from: Interaction networks of macrofungi and mycophagous beetles reflect diurnal variation and the size and spatial arrangement of resources
- 负责人：
- DOI：
- doi:10.5061/dryad.8bk7d72
- 摘要：
- ) in a temperate forest. Centrality and interaction strength increased with resource size, but were associated weakly with resource density and isolation, and not at al
Data from: Resource predictability and specialization in avian malaria parasites
- 负责人：
- DOI：
- doi:10.5061/dryad.gh168
- 摘要：
- at a site in Amazonian Ecuador. We incorporated host phylogenetic relationship and relative abundance in assessing parasite specialization, and we examined
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.27
- 摘要：
- ormation can be found at http://www.cbfs.dnr.cornell.edu) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences at Cornell University
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.1
- 摘要：
- ormation can be found at http://www.dnr.cornell.edu/fieldst/cbfs.htm) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences at Cornell
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.26
- 摘要：
- ormation can be found at http://www.cbfs.dnr.cornell.edu) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences at Cornell University
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.22
- 摘要：
- ormation can be found at http://www.dnr.cornell.edu/fieldst/cbfs.htm) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences at Cornell
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.25
- 摘要：
- ormation can be found at http://www.cbfs.dnr.cornell.edu) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences at Cornell University
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.23
- 摘要：
- ormation can be found at http://www.dnr.cornell.edu/fieldst/cbfs.htm) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences at Cornell
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.24
- 摘要：
- ormation can be found at http://www.dnr.cornell.edu/fieldst/cbfs.htm) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences at Cornell
Data from: Inferring invasive species abundance using removal data from management actions
- 负责人：
- DOI：
- doi:10.5061/dryad.67nb3
- 摘要：
- of resource allocation. Estimates of abundance before and after management activities can serve as a useful metric of population management programs. However, many methods
