1,721,925 research outputs found
Data Supporting Reich et al 2022: Even modest climate change may lead to major transitions in boreal forests
No full textTo test the uncertainty of the sensitivity of forests to near–term warming and associated precipitation we used a five–year open–air experiment in southern boreal forest located at two research sites in northern Minnesota. The experiment used juveniles of nine temperate and boreal tree species that grew under ambient and seasonally warmed (+1.6C and +3.1C above- and belowground) and rainfall reduced (~30% less rainfall) conditions. Each year we surveyed all trees for their survival and growth and measured in situ light-saturated net photosynthesis (Anet) and leaf diffusive conductance (gs).Reich, Peter, B.; Bermudez, Raimundo; Montgomery, Rebecca, A.; Rich, Roy, L.; Rice, Karen, E.; Hobbie, Sarah, E.; Stefanski, Artur. (2022). Data Supporting Reich et al 2022: Even modest climate change may lead to major transitions in boreal forests. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/rv3y-4x19
Climate and interrelated tree regeneration drivers in mixed temperate–boreal forests
Full text linkForest compositional shifts in response to climate change are likely to be initially detectable in the understory tree regeneration layer near species range limits. Because many factors in addition to climate, such as seedbed and soil characteristics, overstory composition, and interactions with other understory biota, drive tree regeneration trends, a thorough understanding of the relative importance of all variables as well as their interrelationships is needed. The range limits of several widespread temperate and boreal tree species overlap in the upper Great Lakes region, USA, thus facilitating an observational study over relatively short regional climate gradients. We used redundancy analysis and
variation partitioning to quantify the unique, shared, and total explanatory power of four sets of explanatory variables. The results showed that all four variable sets (climate 9.5 %, understory environment 13.7 %, overstory composition 26.3 %, and understory biota 13.8 %) were significantly associated with tree regeneration compositional variation in mixed temperate–boreal forests. Partitioning also revealed high confounded or shared explanatory power, but also that each set contributed significant unique explanatory power not shared with other sets. Spatial patterning in regeneration composition was strongly related to broad scale environmental patterns, while the large majority of unexplained variation did not have a detectable spatial structure, suggesting factors with local scale variability. Future forest shifts across the landscape will depend not only on the rate and direction of climate change but also on how the strengths and interrelationships among other explanatory variables, such as overstory composition and understory biota, shift with a changing climate.Fisichelli, Nicholas A; Frelich, Lee E; Reich, Peter B. (2013). Climate and interrelated tree regeneration drivers in mixed temperate–boreal forests. Retrieved from the University Digital Conservancy, 10.1007/s10980-012-9827-z
Co-limitation toward lower latitudes shapes global forest diversity gradients
No full textThe latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers.EEA Santa CruzFil: liang, Jingjing. Purdue University. Department of Forestry and Natural resources. Forest Advanced computing and Artificial Intelligence Laboratory (FAcAI); Estados UnidosFil: Gamarra, Javier G. P. Food and Agriculture Organization of the United Nations. Forestry Division; Italia.Fil: Picard, Nicolas. GIP ECOFOr; FranciaFil: Zhou, Mo. Purdue University. Department of Forestry and Natural resources. Forest Advanced computing and Artificial Intelligence Laboratory (FAcAI); Estados UnidosFil: Pijanowski, Bryan. Purdue University. Department of Forestry and Natural resources; Estados UnidosFil: Jacobs, Douglass F. Purdue University. Department of Forestry and Natural resources; Estados UnidosFil: Reich, Peter B. University of Michigan. Institute for Global change biology. School for environment and Sustainability; Estados UnidosFil: Reich, Peter B. University of Minnesota. Department of Forest resources; Estados UnidosFil: Reich, Peter B. Western Sydney University. Hawkesbury Institute for the environment; Australia.Fil: Crowther, Thomas W. Institute of Integrative biology. Crowther Lab. Department of environmental Systems Science; SuizaFil: Nabuurs , Gert-Jan. Wageningen University and research. Wageningen environmental research; Países BajosFil: Nabuurs , Gert-Jan. Wageningen University and research. Forest ecology and Forest Management Group; Países BajosFil: de-Miguel, Sergio. University of Lleida. Department of crop and Forest Sciences; EspañaFil: de-Miguel, Sergio. Joint research Unit CTFC. Agrotecnio cercA; EspañaFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Hui, Cang. Stellenbosch University. Department of Mathematical Sciences. Centre for Invasion biology; SudáfricaFil: Hui, Cang. African Institute for Mathematical Sciences; Sudáfric
Further re-analyses looking for effects of phylogenetic diversity on community biomass and stability
Full text linkCardinale, Bradley J; Venail, Patrick; Gross, Kevin; Oakley, Todd H; Narwani, Anita; Allan, Eric; Flombaum, Pedro; Joshi, Jasmin; Reich, Peter B; Tilman, David; van Ruijven, Jasper. (2015). Further re-analyses looking for effects of phylogenetic diversity on community biomass and stability. Retrieved from the University Digital Conservancy, 10.1111/1365-2435.12540
Diversity and stability in plant communities (Reply)
No full textwww.nature.comwww.nature.comTilman, D; Reich, Peter B; Knops, J M H. (2007). Diversity and stability in plant communities (Reply). Retrieved from the University Digital Conservancy, 10.1038/nature05750
Integrated global assessment of the natural forest carbon potential
Full text linkForests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system1. Remote-sensing estimates to quantify carbon losses from global forests2–5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced6 and satellitederived approaches2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151–363 Gt) in areas with low human footprint. Most (61%, 139 Gt C)
of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot
be a substitute for emissions reductions, our results support the idea2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets.EEA Santa CruzFil: Mo, Lidong. Institute of Integrative Biology. ETH Zurich (Swiss Federal Institute of Technology); SuizaFil: Zohner, Constantin M. Institute of Integrative Biology. ETH Zurich (Swiss Federal Institute of Technology); SuizaFil: Reich, Peter B. University of Minnesota. Department of Forest Resources; Estados UnidosFil: Reich, Peter B. Western Sydney University. Hawkesbury Institute for the Environment; Australia.Fil: Reich, Peter B. University of Michigan. Institute for Global Change Biology; Estados UnidosFil: Liang, Jingjing. Purdue University. Department of Forestry and Natural Resources; Estados UnidosFil: de-Miguel, Sergio. University of Lleida. Department of Agricultural and Forest Sciences and Engineering; EspañaFil: de-Miguel, Sergio. Joint Research Unit CTFC - AGROTECNIO – CERCA; EspañaFil: Nabuurs, Gert-Jan. Wageningen University and Research; Países BajosFil: Renner, Susanne S. Washington University. Department of Biology; Estados UnidosFil: van den Hoogen, Johan. Institute of Integrative Biology. ETH Zurich (Swiss Federal Institute of Technology); SuizaFil: Araza, Arnan. Wageningen University and Research; Países BajosFil: Herold, Martin. Helmholtz GFZ German Research Centre for Geosciences. Remote Sensing and Geoinformatics Section; Alemania.Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral.; Argentina.Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Crowther, Thomas W. Institute of Integrative Biology. ETH Zurich (Swiss Federal Institute of Technology); Suiz
Categorization of literature pertaining to the use of revegetation in suppressing invasive plant species
No full textA search strategy was developed to identify literature on the use of revegetation as a strategy to suppress reinvasion of invasive species in grasslands and forests. This dataset summarizes the data points for each article included in the literature analysis.Partial funding provided by the Minnesota Invasive Terrestrial Plants and Pests Center through the Minnesota Environment and Natural Resources Trust Fund.Schuster, Michael; Wragg, Peter; Reich, Peter. (2018). Categorization of literature pertaining to the use of revegetation in suppressing invasive plant species. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6JX0P
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Biomass and toxicity responses of poison ivy (Toxicodendron radicans) to elevated atmospheric CO2: Comment
Full text linkSchnitzer, Stefan A; Londré, Ronald A; Klironomos, John; Reich, Peter B. (2008). Biomass and toxicity responses of poison ivy (Toxicodendron radicans) to elevated atmospheric CO2: Comment. Retrieved from the University Digital Conservancy, 10.1890/06-1609.1
- …
