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Connection

Michael Kaspari to Forests

This is a "connection" page, showing publications Michael Kaspari has written about Forests.
Connection Strength

3.368
  1. Temperature-habitat interactions constrain seasonal activity in a continental array of pitfall traps. Ecology. 2023 01; 104(1):e3855.
    View in: PubMed
    Score: 0.827
  2. Testing the role of body size and litter depth on invertebrate diversity across six forests in North America. Ecology. 2022 02; 103(2):e03601.
    View in: PubMed
    Score: 0.778
  3. Biogeochemistry drives diversity in the prokaryotes, fungi, and invertebrates of a Panama forest. Ecology. 2017 Aug; 98(8):2019-2028.
    View in: PubMed
    Score: 0.570
  4. Urine as an important source of sodium increases decomposition in an inland but not coastal tropical forest. Oecologia. 2015 Feb; 177(2):571-9.
    View in: PubMed
    Score: 0.478
  5. Species energy and Thermal Performance Theory predict 20-yr changes in ant community abundance and richness. Ecology. 2019 12; 100(12):e02888.
    View in: PubMed
    Score: 0.167
  6. Biogeochemistry and forest composition shape nesting patterns of a dominant canopy ant. Oecologia. 2019 Jan; 189(1):221-230.
    View in: PubMed
    Score: 0.157
  7. Plant responses to fertilization experiments in lowland, species-rich, tropical forests. Ecology. 2018 05; 99(5):1129-1138.
    View in: PubMed
    Score: 0.150
  8. Biogeographic patterns of soil diazotrophic communities across six forests in North America. Mol Ecol. 2016 06; 25(12):2937-48.
    View in: PubMed
    Score: 0.132
  9. Continental scale structuring of forest and soil diversity via functional traits. Nat Ecol Evol. 2019 09; 3(9):1298-1308.
    View in: PubMed
    Score: 0.041
  10. Thermal constraints on foraging of tropical canopy ants. Oecologia. 2017 04; 183(4):1007-1017.
    View in: PubMed
    Score: 0.035
  11. Temperature mediates continental-scale diversity of microbes in forest soils. Nat Commun. 2016 07 05; 7:12083.
    View in: PubMed
    Score: 0.033
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.