11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Spatial Variation of Leaf Chlorophyll in Northern Hemisphere Grasslands

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Chlorophyll is the molecular basis for the function of photosystems and is also a promising tool for ecological prediction. However, the large-scale patterns of chlorophyll variation in grasslands remain poorly understood. We performed consistent measurements of chlorophyll a, b, a+ b, and the a: b ratio (chlorophyll a/b) for 421 species across northern hemisphere grassland transects, recorded their distributions, variations, and influencing factors, and examined their relationships with leaf nitrogen. The results showed that the distributional ranges were 0.52–28.33 (mean 5.49) mg·g −1 dry weight, 0.15–12.11 (mean 1.83) mg·g −1 dry weight, 0.67–39.29 (mean 7.32) mg·g −1 dry weight, and 1.28–7.84 (mean 3.02) for chlorophyll a, b, a+ b, and a/ b, respectively. The chlorophyll averages differed among regions (higher in the Loess Plateau and the Mongolian Plateau than in the Tibetan Plateau), grassland types (desert grasslands > meadow > typical grasslands), life forms, life spans, and taxonomies. In the entire northern hemisphere grassland, chlorophyll concentrations and chlorophyll a/ b were negatively correlated to photosynthetically active radiation and the soil N:P ratio, and positively correlated to the mean annual temperatures. These results implied that chlorophyll in grasslands was shaped by the layered structure of grasses, distinct plateau environments, and phylogeny. The allocation patterns of leaf nitrogen to chlorophyll differed among regions and grassland types, showing that caution is required if simply relating single leaf N or chlorophyll to productivity separately. These findings enhance our understanding of chlorophyll in natural grasslands on a large scale, as well as providing information for ecological predictive models.

          Related collections

          Most cited references63

          • Record: found
          • Abstract: found
          • Article: not found

          Assessing the generality of global leaf trait relationships.

          Global-scale quantification of relationships between plant traits gives insight into the evolution of the world's vegetation, and is crucial for parameterizing vegetation-climate models. A database was compiled, comprising data for hundreds to thousands of species for the core 'leaf economics' traits leaf lifespan, leaf mass per area, photosynthetic capacity, dark respiration, and leaf nitrogen and phosphorus concentrations, as well as leaf potassium, photosynthetic N-use efficiency (PNUE), and leaf N : P ratio. While mean trait values differed between plant functional types, the range found within groups was often larger than differences among them. Future vegetation-climate models could incorporate this knowledge. The core leaf traits were intercorrelated, both globally and within plant functional types, forming a 'leaf economics spectrum'. While these relationships are very general, they are not universal, as significant heterogeneity exists between relationships fitted to individual sites. Much, but not all, heterogeneity can be explained by variation in sample size alone. PNUE can also be considered as part of this trait spectrum, whereas leaf K and N : P ratios are only loosely related.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Variation among biomes in temporal dynamics of aboveground primary production.

            Interannual variability in aboveground net primary production (ANPP) was assessed with long-term (mean = 12 years) data from 11 Long Term Ecological Research sites across North America. The greatest interannual variability in ANPP occurred in grasslands and old fields, with forests the least variable. At a continental scale, ANPP was strongly correlated with annual precipitation. However, interannual variability in ANPP was not related to variability in precipitation. Instead, maximum variability in ANPP occurred in biomes where high potential growth rates of herbaceous vegetation were combined with moderate variability in precipitation. In the most dynamic biomes, ANPP responded more strongly to wet than to dry years. Recognition of the fourfold range in ANPP dynamics across biomes and of the factors that constrain this variability is critical for detecting the biotic impacts of global change phenomena.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Shade Tolerance, a Key Plant Feature of Complex Nature and Consequences

                Bookmark

                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                12 August 2020
                2020
                : 11
                : 1244
                Affiliations
                [1] 1 Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , Beijing, China
                [2] 2 School of Ecology and Nature Conservation, Beijing Forestry University , Beijing, China
                [3] 3 College of Resources and Environment, University of Chinese Academy of Sciences , Beijing, China
                [4] 4 Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences , Changchun, China
                [5] 5 Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University , Changchun, China
                Author notes

                Edited by: Uwe Rascher, Helmholtz Association of German Research Centers (HZ), Germany

                Reviewed by: Lea Hallik, University of Tartu, Estonia; Marco Landi, University of Pisa, Italy

                *Correspondence: Nianpeng He, henp@ 123456igsnrr.ac.cn

                This article was submitted to Functional Plant Ecology, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2020.01244
                7434964
                6bd000a8-8e76-4e96-84ed-6d09ff40bccc
                Copyright © 2020 Zhang, Li, Wang, Xu, Li, Liu, Wu, Zhang, Yu and He

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 February 2020
                : 29 July 2020
                Page count
                Figures: 6, Tables: 4, Equations: 8, References: 68, Pages: 14, Words: 8460
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                allocation,chlorophyll,grassland,influencing factors,leaf nitrogen,spatial variation,trait distribution

                Comments

                Comment on this article