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Journal articleMartensen AC, Ribeiro MC, Banks-Leite C, et al., 2012,
Associations of Forest Cover, Fragment Area, and Connectivity with Neotropical Understory Bird Species Richness and Abundance
, Conservation Biology, Vol: 6, Pages: 1100-1111 -
Journal articleSommerville MM, Milner-Gulland EJ, Jones JPG, 2011,
The challenge of monitoring biodiversity in payment for environmental service interventions
, BIOLOGICAL CONSERVATION, Vol: 144, Pages: 2832-2841, ISSN: 0006-3207- Author Web Link
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- Citations: 40
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Journal articleReiss J, Bailey RA, Perkins DM, et al., 2011,
Testing effects of consumer richness, evenness and body size on ecosystem functioning
, Journal of Animal Ecology, Vol: 80, Pages: 1145-1154, ISSN: 0021-8790 -
Journal articleGudmundsdottir R, Gislason GM, Palsson S, et al., 2011,
Effects of temperature regime on primary producers in Icelandic geothermal streams
, Aquatic Botany, Vol: 95, Pages: 278-286, ISSN: 0304-3770 -
Journal articleForster J, Hirst AG, Woodward G, 2011,
Growth and Development Rates Have Different Thermal Responses
, The American Naturalist, Vol: 178, Pages: 668-678, ISSN: 0003-0147 -
Journal articleLEDGER ME, EDWARDS FK, BROWN LE, et al., 2011,
Impact of simulated drought on ecosystem biomass production: an experimental test in stream mesocosms
, Global Change Biology, Vol: 17, Pages: 2288-2297, ISSN: 1354-1013 -
Journal articleBrown LE, Edwards FK, Milner AM, et al., 2011,
Food web complexity and allometric scaling relationships in stream mesocosms: implications for experimentation
, Journal of Animal Ecology, Vol: 80, Pages: 884-895, ISSN: 0021-8790 -
Journal articleDell AI, Pawar S, Savage VM, 2011,
Systematic variation in the temperature dependence of physiological and ecological traits
, Proceedings of the National Academy of Sciences of the United States of America, Vol: 108, Pages: 10591-10596, ISSN: 1091-6490To understand the effects of temperature on biological systems, we compile, organize, and analyze a database of 1,072 thermal responses for microbes, plants, and animals. The unprecedented diversity of traits (n = 112), species (n = 309), body sizes (15 orders of magnitude), and habitats (all major biomes) in our database allows us to quantify novel features of the temperature response of biological traits. In particular, analysis of the rising component of within-species (intraspecific) responses reveals that 87% are fit well by the Boltzmann–Arrhenius model. The mean activation energy for these rises is 0.66 ± 0.05 eV, similar to the reported across-species (interspecific) value of 0.65 eV. However, systematic variation in the distribution of rise activation energies is evident, including previously unrecognized right skewness around a median of 0.55 eV. This skewness exists across levels of organization, taxa, trophic groups, and habitats, and it is partially explained by prey having increased trait performance at lower temperatures relative to predators, suggesting a thermal version of the life-dinner principle—stronger selection on running for your life than running for your dinner. For unimodal responses, habitat (marine, freshwater, and terrestrial) largely explains the mean temperature at which trait values are optimal but not variation around the mean. The distribution of activation energies for trait falls has a mean of 1.15 ± 0.39 eV (significantly higher than rises) and is also right-skewed. Our results highlight generalities and deviations in the thermal response of biological traits and help to provide a basis to predict better how biological systems, from cells to communities, respond to temperature change.
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Journal articleDEMARS BOL, RUSSELL MANSON J, ÓLAFSSON JS, et al., 2011,
Temperature and the metabolic balance of streams
, Freshwater Biology, Vol: 56, Pages: 1106-1121, ISSN: 0046-5070 -
Journal articleYVON-DUROCHER GABRIEL, MONTOYA JM, TRIMMER MARK, et al., 2011,
Warming alters the size spectrum and shifts the distribution of biomass in freshwater ecosystems
, Global Change Biology, Vol: 17, Pages: 1681-1694, ISSN: 1354-1013
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