Articles | Volume 21, issue 14
https://doi.org/10.5194/bg-21-3305-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-21-3305-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jul 2024
Research article |
| 19 Jul 2024
| 19 Jul 2024
Distinguishing mature and immature trees allows estimating forest carbon uptake from stand structure
Dept. of Ecological Modelling, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, 04318 Leipzig, Germany
Institute of Environmental Systems Research, Osnabrück University, Barbarastr. 12, 49076 Osnabrück, Germany
Xugao Wang
Institute of Applied Ecology, Chinese Academy of Sciences, P.O. Box 417, Shenyang, 110016, China
Andreas Huth
Dept. of Ecological Modelling, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, 04318 Leipzig, Germany
Institute of Environmental Systems Research, Osnabrück University, Barbarastr. 12, 49076 Osnabrück, Germany
German Centre for Integrative Biodiversity Research (iDiv) Halle–Jena–Leipzig, Puschstr. 4, 04103 Leipzig, Germany
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Nikolai Knapp, Sabine Attinger, and Andreas Huth
Biogeosciences, 19, 4929–4944, https://doi.org/10.5194/bg-19-4929-2022, https://doi.org/10.5194/bg-19-4929-2022, 2022
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The biomass of forests is determined by forest growth and mortality. These quantities can be estimated with different methods such as inventories, remote sensing and modeling. These methods are usually being applied at different spatial scales. The scales influence the obtained frequency distributions of biomass, growth and mortality. This study suggests how to transfer between scales, when using forest models of different complexity for a tropical forest.
Ulrike Hiltner, Andreas Huth, and Rico Fischer
Biogeosciences, 19, 1891–1911, https://doi.org/10.5194/bg-19-1891-2022, https://doi.org/10.5194/bg-19-1891-2022, 2022
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Quantifying biomass loss rates due to stem mortality is important for estimating the role of tropical forests in the global carbon cycle. We analyse the consequences of long-term elevated stem mortality for tropical forest dynamics and biomass loss. Based on simulations, we developed a statistical model to estimate biomass loss rates of forests in different successional states from forest attributes. Assuming a doubling of tree mortality, biomass loss increased from 3.2 % yr-1 to 4.5 % yr-1.
J. Pacheco-Labrador, U. Weber, X. Ma, M. D. Mahecha, N. Carvalhais, C. Wirth, A. Huth, F. J. Bohn, G. Kraemer, U. Heiden, FunDivEUROPE members, and M. Migliavacca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-1-W1-2021, 49–55, https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-49-2022, https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-49-2022, 2022
Ulrike Hiltner, Andreas Huth, and Rico Fischer
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-264, https://doi.org/10.5194/bg-2020-264, 2020
Revised manuscript not accepted
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The aim of our study is to to analyze the consequences of elevated tree mortality on tropical forest dynamics and to provide a methodology that can reduce uncertainties in estimating biomass loss due to tree mortality at local and country levels.
Jessica Hetzer, Andreas Huth, Thorsten Wiegand, Hans Jürgen Dobner, and Rico Fischer
Biogeosciences, 17, 1673–1683, https://doi.org/10.5194/bg-17-1673-2020, https://doi.org/10.5194/bg-17-1673-2020, 2020
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Due to limited accessibility in tropical regions, only small parts of the forest landscape can be surveyed in forest plots. Since there is an ongoing debate about how representative estimations based on samples are at larger scales, this study analyzes how many plots are needed to quantify the biomass of the entire South American tropical forest. Through novel computational and statistical investigations we show that the spatial plot positioning is crucial for continent-wide biomass estimations.
Anja Rammig, Jens Heinke, Florian Hofhansl, Hans Verbeeck, Timothy R. Baker, Bradley Christoffersen, Philippe Ciais, Hannes De Deurwaerder, Katrin Fleischer, David Galbraith, Matthieu Guimberteau, Andreas Huth, Michelle Johnson, Bart Krujit, Fanny Langerwisch, Patrick Meir, Phillip Papastefanou, Gilvan Sampaio, Kirsten Thonicke, Celso von Randow, Christian Zang, and Edna Rödig
Geosci. Model Dev., 11, 5203–5215, https://doi.org/10.5194/gmd-11-5203-2018, https://doi.org/10.5194/gmd-11-5203-2018, 2018
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We propose a generic approach for a pixel-to-point comparison applicable for evaluation of models and remote-sensing products. We provide statistical measures accounting for the uncertainty in ecosystem variables. We demonstrate our approach by comparing simulated values of aboveground biomass, woody productivity and residence time of woody biomass from four dynamic global vegetation models (DGVMs) with measured inventory data from permanent plots in the Amazon rainforest.
Friedrich J. Bohn, Felix May, and Andreas Huth
Biogeosciences, 15, 1795–1813, https://doi.org/10.5194/bg-15-1795-2018, https://doi.org/10.5194/bg-15-1795-2018, 2018
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Rising temperature affect the wood production of forests. However, in some cases, we observe positive and in others negative changes. In this study, we used a new simulation approach to generate ~ 400 000 forest stands, which cover various types of temperate forests (low to high divers; young to old; even aged to uneven aged). We treated each forest with different temperature scenarios and analysed, which forest characteristics triggered the different reaction of forest to temperature change.
F. Hartig, C. Dislich, T. Wiegand, and A. Huth
Biogeosciences, 11, 1261–1272, https://doi.org/10.5194/bg-11-1261-2014, https://doi.org/10.5194/bg-11-1261-2014, 2014
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Biodiversity and Ecosystem Function: Terrestrial
Linking geomorphological processes and wildlife microhabitat selection: nesting birds select refuges generated by permafrost degradation in the Arctic
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From simple labels to semantic image segmentation: leveraging citizen science plant photographs for tree species mapping in drone imagery
Plant functional traits modulate the effects of soil acidification on above- and belowground biomass
Regional effects and local climate jointly shape the global distribution of sexual systems in woody flowering plants
Ideas and perspectives: Sensing energy and matter fluxes in a biota-dominated Patagonian landscape through environmental seismology – introducing the Pumalín Critical Zone Observatory
Comparison of carbon and water fluxes and the drivers of ecosystem water use efficiency in a temperate rainforest and a peatland in southern South America
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Canopy gaps and associated losses of biomass – combining UAV imagery and field data in a central Amazon forest
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Primary succession and its driving variables – a sphere-spanning approach applied in proglacial areas in the upper Martell Valley (Eastern Italian Alps)
Contemporary biodiversity pattern is affected by climate change at multiple temporal scales in steppes on the Mongolian Plateau
Quantifying vegetation indices using terrestrial laser scanning: methodological complexities and ecological insights from a Mediterranean forest
Revisiting and attributing the global controls over terrestrial ecosystem functions of climate and plant traits at FLUXNET sites via causal graphical models
Dynamics of short-term ecosystem carbon fluxes induced by precipitation events in a semiarid grassland
Throughfall exclusion and fertilization effects on tropical dry forest tree plantations, a large-scale experiment
Tectonic controls on the ecosystem of the Mara River basin, East Africa, from geomorphological and spectral index analysis
Spruce bark beetles (Ips typographus) cause up to 700 times higher bark BVOC emission rates compared to healthy Norway spruce (Picea abies)
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Biogeosciences, 21, 3401–3423, https://doi.org/10.5194/bg-21-3401-2024, https://doi.org/10.5194/bg-21-3401-2024, 2024
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Biogeosciences, 21, 3165–3182, https://doi.org/10.5194/bg-21-3165-2024, https://doi.org/10.5194/bg-21-3165-2024, 2024
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Flowers are ephemeral organs for reproduction, and their litter is functionally different from leaf litter. Flowers can affect decomposition and interact with leaf litter, influencing decomposition non-additively. We show that mixing flower and leaf litter from the Tabebuia aurea tree creates reciprocal synergistic effects on decomposition in both terrestrial and aquatic environments. We highlight that flower litter input can generate biogeochemical hotspots in terrestrial ecosystems.
Salim Soltani, Olga Ferlian, Nico Eisenhauer, Hannes Feilhauer, and Teja Kattenborn
Biogeosciences, 21, 2909–2935, https://doi.org/10.5194/bg-21-2909-2024, https://doi.org/10.5194/bg-21-2909-2024, 2024
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In this research, we developed a novel method using citizen science data as alternative training data for computer vision models to map plant species in unoccupied aerial vehicle (UAV) images. We use citizen science plant photographs to train models and apply them to UAV images. We tested our approach on UAV images of a test site with 10 different tree species, yielding accurate results. This research shows the potential of citizen science data to advance our ability to monitor plant species.
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Minhua Zhang, Xiaoqing Hu, and Fangliang He
Biogeosciences, 21, 2133–2142, https://doi.org/10.5194/bg-21-2133-2024, https://doi.org/10.5194/bg-21-2133-2024, 2024
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Plant sexual systems are important to understanding the evolution and maintenance of plant diversity. We quantified region effects on their proportions while incorporating local climate factors and evolutionary history. We found regional processes and climate effects both play important roles in shaping the geographic distribution of sexual systems, providing a baseline for predicting future changes in forest communities in the context of global change.
Christian H. Mohr, Michael Dietze, Violeta Tolorza, Erwin Gonzalez, Benjamin Sotomayor, Andres Iroume, Sten Gilfert, and Frieder Tautz
Biogeosciences, 21, 1583–1599, https://doi.org/10.5194/bg-21-1583-2024, https://doi.org/10.5194/bg-21-1583-2024, 2024
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Coastal temperate rainforests, among Earth’s carbon richest biomes, are systematically underrepresented in the global network of critical zone observatories (CZOs). Introducing here a first CZO in the heart of the Patagonian rainforest, Chile, we investigate carbon sink functioning, biota-driven landscape evolution, fluxes of matter and energy, and disturbance regimes. We invite the community to join us in cross-disciplinary collaboration to advance science in this particular environment.
Jorge F. Perez-Quezada, David Trejo, Javier Lopatin, David Aguilera, Bruce Osborne, Mauricio Galleguillos, Luca Zattera, Juan L. Celis-Diez, and Juan J. Armesto
Biogeosciences, 21, 1371–1389, https://doi.org/10.5194/bg-21-1371-2024, https://doi.org/10.5194/bg-21-1371-2024, 2024
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For 8 years we sampled a temperate rainforest and a peatland in Chile to estimate their efficiency to capture carbon per unit of water lost. The efficiency is more related to the water lost than to the carbon captured and is mainly driven by evaporation instead of transpiration. This is the first report from southern South America and highlights that ecosystems might behave differently in this area, likely explained by the high annual precipitation (~ 2100 mm) and light-limited conditions.
Gabriela Sophia, Silvia Caldararu, Benjamin Stocker, and Sönke Zaehle
EGUsphere, https://doi.org/10.5194/egusphere-2024-687, https://doi.org/10.5194/egusphere-2024-687, 2024
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Through an extensive global dataset of leaf nutrient resorption and a multifactorial analysis, we show that the majority of spatial variation in nutrient resorption may be driven by leaf habit and type, with thicker, longer-lived leaves having lower resorption efficiencies. Climate, soil fertility and soil-related factors emerge as strong drivers with an additional effect in its role. These results are essential for comprehending plant nutrient status, plant productivity and nutrient cycling.
Fredrik Lagergren, Robert G. Björk, Camilla Andersson, Danijel Belušić, Mats P. Björkman, Erik Kjellström, Petter Lind, David Lindstedt, Tinja Olenius, Håkan Pleijel, Gunhild Rosqvist, and Paul A. Miller
Biogeosciences, 21, 1093–1116, https://doi.org/10.5194/bg-21-1093-2024, https://doi.org/10.5194/bg-21-1093-2024, 2024
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The Fennoscandian boreal and mountain regions harbour a wide range of ecosystems sensitive to climate change. A new, highly resolved high-emission climate scenario enabled modelling of the vegetation development in this region at high resolution for the 21st century. The results show dramatic south to north and low- to high-altitude shifts of vegetation zones, especially for the open tundra environments, which will have large implications for nature conservation, reindeer husbandry and forestry.
Cheng-Hsien Lin, Colleen Zumpf, Chunhwa Jang, Thomas Voigt, Guanglong Tian, Olawale Oladeji, Albert Cox, Rehnuma Mehzabin, and Do Kyoung Lee
EGUsphere, https://doi.org/10.5194/egusphere-2024-203, https://doi.org/10.5194/egusphere-2024-203, 2024
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Riparian areas are subject to environmental issues (nutrient leaching) associated with low productivity. Perennial grasses can improve ecosystem services from riparian zones while producing forage/bioenergy feedstock biomass, as potential income for farmers. In this study, the forage-type buffer can be an ideal short-term candidate due to its great efficiency of nutrient scavenging; the bioenergy-type showed better sustainability than the forage buffer and a continuous yield supply potential.
Florian Zellweger, Eric Sulmoni, Johanna T. Malle, Andri Baltensweiler, Tobias Jonas, Niklaus E. Zimmermann, Christian Ginzler, Dirk Nikolaus Karger, Pieter De Frenne, David Frey, and Clare Webster
Biogeosciences, 21, 605–623, https://doi.org/10.5194/bg-21-605-2024, https://doi.org/10.5194/bg-21-605-2024, 2024
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The microclimatic conditions experienced by organisms living close to the ground are not well represented in currently used climate datasets derived from weather stations. Therefore, we measured and mapped ground microclimate temperatures at 10 m spatial resolution across Switzerland using a novel radiation model. Our results reveal a high variability in microclimates across different habitats and will help to better understand climate and land use impacts on biodiversity and ecosystems.
Andrew Kulmatiski, Martin C. Holdrege, Cristina Chirvasă, and Karen H. Beard
Biogeosciences, 21, 131–143, https://doi.org/10.5194/bg-21-131-2024, https://doi.org/10.5194/bg-21-131-2024, 2024
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Warmer air and larger precipitation events are changing the way water moves through the soil and into plants. Here we show that detailed descriptions of root distributions can predict plant growth responses to changing precipitation patterns. Shrubs and forbs increased growth, while grasses showed no response to increased precipitation intensity, and these responses were predicted by plant rooting distributions.
Bonaventure Ntirugulirwa, Etienne Zibera, Nkuba Epaphrodite, Aloysie Manishimwe, Donat Nsabimana, Johan Uddling, and Göran Wallin
Biogeosciences, 20, 5125–5149, https://doi.org/10.5194/bg-20-5125-2023, https://doi.org/10.5194/bg-20-5125-2023, 2023
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Twenty tropical tree species native to Africa were planted along an elevation gradient (1100 m, 5.4 °C difference). We found that early-successional (ES) species, especially from lower elevations, grew faster at warmer sites, while several of the late-successional (LS) species, especially from higher elevations, did not respond or grew slower. Moreover, a warmer climate increased tree mortality in LS species, but not much in ES species.
Lilian Vallet, Charbel Abdallah, Thomas Lauvaux, Lilian Joly, Michel Ramonet, Philippe Ciais, Morgan Lopez, Irène Xueref-Remy, and Florent Mouillot
EGUsphere, https://doi.org/10.5194/egusphere-2023-2421, https://doi.org/10.5194/egusphere-2023-2421, 2023
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2022 fire season had a huge impact on European temperate forest, with several large fires exhibiting prolonged soil combustion reported. We analyzed CO and CO2 concentration recorded at nearby atmospheric towers, revealing intense smoldering combustion. We refined a fire emission model to incorporate this process. We estimated 7.95 MteqCO2 fire emission, twice the global estimate. Fires contributed to 1.97 % of the country's annual carbon footprint, reducing forest carbon sink by 30 % this year.
Philippe Choler
Biogeosciences, 20, 4259–4272, https://doi.org/10.5194/bg-20-4259-2023, https://doi.org/10.5194/bg-20-4259-2023, 2023
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The year 2022 was unique in that the summer heat wave and drought led to a widespread reduction in vegetation growth at high elevation in the European Alps. This impact was unprecedented in the southwestern, warm, and dry part of the Alps. Over the last 2 decades, water has become a co-dominant control of vegetation activity in areas that were, so far, primarily controlled by temperature, and the growth of mountain grasslands has become increasingly sensitive to moisture availability.
Adriana Simonetti, Raquel Fernandes Araujo, Carlos Henrique Souza Celes, Flávia Ranara da Silva e Silva, Joaquim dos Santos, Niro Higuchi, Susan Trumbore, and Daniel Magnabosco Marra
Biogeosciences, 20, 3651–3666, https://doi.org/10.5194/bg-20-3651-2023, https://doi.org/10.5194/bg-20-3651-2023, 2023
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We combined 2 years of monthly drone-acquired RGB (red–green–blue) imagery with field surveys in a central Amazon forest. Our results indicate that small gaps associated with branch fall were the most frequent. Biomass losses were partially controlled by gap area, with branch fall and snapping contributing the least and greatest relative values, respectively. Our study highlights the potential of drone images for monitoring canopy dynamics in dense tropical forests.
Silvia Caldararu, Victor Rolo, Benjamin D. Stocker, Teresa E. Gimeno, and Richard Nair
Biogeosciences, 20, 3637–3649, https://doi.org/10.5194/bg-20-3637-2023, https://doi.org/10.5194/bg-20-3637-2023, 2023
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Ecosystem manipulative experiments are large experiments in real ecosystems. They include processes such as species interactions and weather that would be omitted in more controlled settings. They offer a high level of realism but are underused in combination with vegetation models used to predict the response of ecosystems to global change. We propose a workflow using models and ecosystem experiments together, taking advantage of the benefits of both tools for Earth system understanding.
Katharina Ramskogler, Bettina Knoflach, Bernhard Elsner, Brigitta Erschbamer, Florian Haas, Tobias Heckmann, Florentin Hofmeister, Livia Piermattei, Camillo Ressl, Svenja Trautmann, Michael H. Wimmer, Clemens Geitner, Johann Stötter, and Erich Tasser
Biogeosciences, 20, 2919–2939, https://doi.org/10.5194/bg-20-2919-2023, https://doi.org/10.5194/bg-20-2919-2023, 2023
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Primary succession in proglacial areas depends on complex driving forces. To concretise the complex effects and interaction processes, 39 known explanatory variables assigned to seven spheres were analysed via principal component analysis and generalised additive models. Key results show that in addition to time- and elevation-dependent factors, also disturbances alter vegetation development. The results are useful for debates on vegetation development in a warming climate.
Zijing Li, Zhiyong Li, Xuze Tong, Lei Dong, Ying Zheng, Jinghui Zhang, Bailing Miao, Lixin Wang, Liqing Zhao, Lu Wen, Guodong Han, Frank Yonghong Li, and Cunzhu Liang
Biogeosciences, 20, 2869–2882, https://doi.org/10.5194/bg-20-2869-2023, https://doi.org/10.5194/bg-20-2869-2023, 2023
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We used random forest models and structural equation models to assess the relative importance of the present climate and paleoclimate as determinants of diversity and aboveground biomass. Results showed that paleoclimate changes and modern climate jointly determined contemporary biodiversity patterns, while community biomass was mainly affected by modern climate. These findings suggest that contemporary biodiversity patterns may be affected by processes at divergent temporal scales.
William Rupert Moore Flynn, Harry Jon Foord Owen, Stuart William David Grieve, and Emily Rebecca Lines
Biogeosciences, 20, 2769–2784, https://doi.org/10.5194/bg-20-2769-2023, https://doi.org/10.5194/bg-20-2769-2023, 2023
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Quantifying vegetation indices is crucial for ecosystem monitoring and modelling. Terrestrial laser scanning (TLS) has potential to accurately measure vegetation indices, but multiple methods exist, with little consensus on best practice. We compare three methods and extract wood-to-plant ratio, a metric used to correct for wood in leaf indices. We show corrective metrics vary with tree structure and variation among methods, highlighting the value of TLS data and importance of rigorous testing.
Haiyang Shi, Geping Luo, Olaf Hellwich, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Biogeosciences, 20, 2727–2741, https://doi.org/10.5194/bg-20-2727-2023, https://doi.org/10.5194/bg-20-2727-2023, 2023
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In studies on the relationship between ecosystem functions and climate and plant traits, previously used data-driven methods such as multiple regression and random forest may be inadequate for representing causality due to limitations such as covariance between variables. Based on FLUXNET site data, we used a causal graphical model to revisit the control of climate and vegetation traits over ecosystem functions.
Josué Delgado-Balbuena, Henry W. Loescher, Carlos A. Aguirre-Gutiérrez, Teresa Alfaro-Reyna, Luis F. Pineda-Martínez, Rodrigo Vargas, and Tulio Arredondo
Biogeosciences, 20, 2369–2385, https://doi.org/10.5194/bg-20-2369-2023, https://doi.org/10.5194/bg-20-2369-2023, 2023
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In the semiarid grassland, an increase in soil moisture at shallow depths instantly enhances carbon release through respiration. In contrast, deeper soil water controls plant carbon uptake but with a delay of several days. Previous soil conditions, biological activity, and the size and timing of precipitation are factors that determine the amount of carbon released into the atmosphere. Thus, future changes in precipitation patterns could convert ecosystems from carbon sinks to carbon sources.
German Vargas Gutiérrez, Daniel Pérez-Aviles, Nanette Raczka, Damaris Pereira-Arias, Julián Tijerín-Triviño, L. David Pereira-Arias, David Medvigy, Bonnie G. Waring, Ember Morrisey, Edward Brzostek, and Jennifer S. Powers
Biogeosciences, 20, 2143–2160, https://doi.org/10.5194/bg-20-2143-2023, https://doi.org/10.5194/bg-20-2143-2023, 2023
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To study whether nutrient availability controls tropical dry forest responses to reductions in soil moisture, we established the first troughfall exclusion experiment in a tropical dry forest plantation system crossed with a fertilization scheme. We found that the effects of fertilization on net primary productivity are larger than the effects of a ~15 % reduction in soil moisture, although in many cases we observed an interaction between drought and nutrient additions, suggesting colimitation.
Alina Lucia Ludat and Simon Kübler
Biogeosciences, 20, 1991–2012, https://doi.org/10.5194/bg-20-1991-2023, https://doi.org/10.5194/bg-20-1991-2023, 2023
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Satellite-based analysis illustrates the impact of geological processes for the stability of the ecosystem in the Mara River basin (Kenya/Tanzania). Newly detected fault activity influences the course of river networks and modifies erosion–deposition patterns. Tectonic surface features and variations in rock chemistry lead to localized enhancement of clay and soil moisture values and seasonally stabilised vegetation growth patterns in this climatically vulnerable region.
Erica Jaakkola, Antje Gärtner, Anna Maria Jönsson, Karl Ljung, Per-Ola Olsson, and Thomas Holst
Biogeosciences, 20, 803–826, https://doi.org/10.5194/bg-20-803-2023, https://doi.org/10.5194/bg-20-803-2023, 2023
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Increased spruce bark beetle outbreaks were recently seen in Sweden. When Norway spruce trees are attacked, they increase their production of VOCs, attempting to kill the beetles. We provide new insights into how the Norway spruce act when infested and found the emitted volatiles to increase up to 700 times and saw a change in compound blend. We estimate that the 2020 bark beetle outbreak in Sweden could have increased the total monoterpene emissions from the forest by more than 10 %.
Georg Wohlfahrt, Albin Hammerle, Felix M. Spielmann, Florian Kitz, and Chuixiang Yi
Biogeosciences, 20, 589–596, https://doi.org/10.5194/bg-20-589-2023, https://doi.org/10.5194/bg-20-589-2023, 2023
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The trace gas carbonyl sulfide (COS), which is taken up by plant leaves in a process very similar to photosynthesis, is thought to be a promising proxy for the gross uptake of carbon dioxide by plants. Here we propose a new framework for estimating a key metric to that end, the so-called leaf relative uptake rate. The values we deduce by applying principles of plant optimality are considerably lower than published values and may help reduce the uncertainty of the global COS budget.
François Jonard, Andrew F. Feldman, Daniel J. Short Gianotti, and Dara Entekhabi
Biogeosciences, 19, 5575–5590, https://doi.org/10.5194/bg-19-5575-2022, https://doi.org/10.5194/bg-19-5575-2022, 2022
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We investigate the spatial and temporal patterns of light and water limitation in plant function at the ecosystem scale. Using satellite observations, we characterize the nonlinear relationships between sun-induced chlorophyll fluorescence (SIF) and water and light availability. This study highlights that soil moisture limitations on SIF are found primarily in drier environments, while light limitations are found in intermediately wet regions.
Nikolai Knapp, Sabine Attinger, and Andreas Huth
Biogeosciences, 19, 4929–4944, https://doi.org/10.5194/bg-19-4929-2022, https://doi.org/10.5194/bg-19-4929-2022, 2022
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The biomass of forests is determined by forest growth and mortality. These quantities can be estimated with different methods such as inventories, remote sensing and modeling. These methods are usually being applied at different spatial scales. The scales influence the obtained frequency distributions of biomass, growth and mortality. This study suggests how to transfer between scales, when using forest models of different complexity for a tropical forest.
Kai Chen, Kevin S. Burgess, Fangliang He, Xiang-Yun Yang, Lian-Ming Gao, and De-Zhu Li
Biogeosciences, 19, 4801–4810, https://doi.org/10.5194/bg-19-4801-2022, https://doi.org/10.5194/bg-19-4801-2022, 2022
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Why does plants' distributional range size vary enormously? This study provides evidence that seed mass, intraspecific seed mass variation, seed dispersal mode and phylogeny contribute to explaining species distribution variation on a geographic scale. Our study clearly shows the importance of including seed life-history traits in modeling and predicting the impact of climate change on species distribution of seed plants.
Ying Ying Chen, Huan Yang, Gen Sheng Bao, Xiao Pan Pang, and Zheng Gang Guo
Biogeosciences, 19, 4521–4532, https://doi.org/10.5194/bg-19-4521-2022, https://doi.org/10.5194/bg-19-4521-2022, 2022
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Investigating the effect of the presence of plateau pikas on ecosystem services of alpine meadows is helpful to understand the role of the presence of small mammalian herbivores in grasslands. The results of this study showed that the presence of plateau pikas led to higher biodiversity conservation, soil nitrogen and phosphorus maintenance, and carbon sequestration of alpine meadows, whereas it led to lower forage available to livestock and water conservation of alpine meadows.
Clement Jean Frédéric Delcourt and Sander Veraverbeke
Biogeosciences, 19, 4499–4520, https://doi.org/10.5194/bg-19-4499-2022, https://doi.org/10.5194/bg-19-4499-2022, 2022
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This study provides new equations that can be used to estimate aboveground tree biomass in larch-dominated forests of northeast Siberia. Applying these equations to 53 forest stands in the Republic of Sakha (Russia) resulted in significantly larger biomass stocks than when using existing equations. The data presented in this work can help refine biomass estimates in Siberian boreal forests. This is essential to assess changes in boreal vegetation and carbon dynamics.
Iris Johanna Aalto, Eduardo Eiji Maeda, Janne Heiskanen, Eljas Kullervo Aalto, and Petri Kauko Emil Pellikka
Biogeosciences, 19, 4227–4247, https://doi.org/10.5194/bg-19-4227-2022, https://doi.org/10.5194/bg-19-4227-2022, 2022
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Tree canopies are strong moderators of understory climatic conditions. In tropical areas, trees cool down the microclimates. Using remote sensing and field measurements we show how even intermediate canopy cover and agroforestry trees contributed to buffering the hottest temperatures in Kenya. The cooling effect was the greatest during hot days and in lowland areas, where the ambient temperatures were high. Adopting agroforestry practices in the area could assist in mitigating climate change.
Jing Wang and Xuefa Wen
Biogeosciences, 19, 4197–4208, https://doi.org/10.5194/bg-19-4197-2022, https://doi.org/10.5194/bg-19-4197-2022, 2022
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Excess radiation and low temperatures exacerbate drought impacts on canopy conductance (Gs) among transects. The primary determinant of drought stress on Gs was soil moisture on the Loess Plateau (LP) and the Mongolian Plateau (MP), whereas it was the vapor pressure deficit on the Tibetan Plateau (TP). Radiation exhibited a negative effect on Gs via drought stress within transects, while temperature had negative effects on stomatal conductance on the TP but no effect on the LP and MP.
Sylvain Monteux, Janine Mariën, and Eveline J. Krab
Biogeosciences, 19, 4089–4105, https://doi.org/10.5194/bg-19-4089-2022, https://doi.org/10.5194/bg-19-4089-2022, 2022
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Quantifying the feedback from the decomposition of thawing permafrost soils is crucial to establish adequate climate warming mitigation scenarios. Past efforts have focused on abiotic and to some extent microbial drivers of decomposition but not biotic drivers such as soil fauna. We added soil fauna (Collembola Folsomia candida) to permafrost, which introduced bacterial taxa without affecting bacterial communities as a whole but increased CO2 production (+12 %), presumably due to priming.
Mirjam Pfeiffer, Munir P. Hoffmann, Simon Scheiter, William Nelson, Johannes Isselstein, Kingsley Ayisi, Jude J. Odhiambo, and Reimund Rötter
Biogeosciences, 19, 3935–3958, https://doi.org/10.5194/bg-19-3935-2022, https://doi.org/10.5194/bg-19-3935-2022, 2022
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Smallholder farmers face challenges due to poor land management and climate change. We linked the APSIM crop model and the aDGVM2 vegetation model to investigate integrated management options that enhance ecosystem functions and services. Sustainable intensification moderately increased yields. Crop residue grazing reduced feed gaps but not for dry-to-wet season transitions. Measures to improve soil water and nutrient status are recommended. Landscape-level ecosystem management is essential.
Marina Corrêa Scalon, Imma Oliveras Menor, Renata Freitag, Karine S. Peixoto, Sami W. Rifai, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, and Yadvinder Malhi
Biogeosciences, 19, 3649–3661, https://doi.org/10.5194/bg-19-3649-2022, https://doi.org/10.5194/bg-19-3649-2022, 2022
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We investigated dynamic nutrient flow and demand in a typical savanna and a transition forest to understand how similar soils and the same climate dominated by savanna vegetation can also support forest-like formations. Savanna relied on nutrient resorption from wood, and nutrient demand was equally partitioned between leaves, wood and fine roots. Transition forest relied on resorption from the canopy biomass and nutrient demand was predominantly driven by leaves.
Emma Bousquet, Arnaud Mialon, Nemesio Rodriguez-Fernandez, Stéphane Mermoz, and Yann Kerr
Biogeosciences, 19, 3317–3336, https://doi.org/10.5194/bg-19-3317-2022, https://doi.org/10.5194/bg-19-3317-2022, 2022
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Pre- and post-fire values of four climate variables and four vegetation variables were analysed at the global scale, in order to observe (i) the general fire likelihood factors and (ii) the vegetation recovery trends over various biomes. The main result of this study is that L-band vegetation optical depth (L-VOD) is the most impacted vegetation variable and takes the longest to recover over dense forests. L-VOD could then be useful for post-fire vegetation recovery studies.
Chen Yang, Yue Shi, Wenjuan Sun, Jiangling Zhu, Chengjun Ji, Yuhao Feng, Suhui Ma, Zhaodi Guo, and Jingyun Fang
Biogeosciences, 19, 2989–2999, https://doi.org/10.5194/bg-19-2989-2022, https://doi.org/10.5194/bg-19-2989-2022, 2022
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Quantifying China's forest biomass C pool is important in understanding C cycling in forests. However, most of studies on forest biomass C pool were limited to the period of 2004–2008. Here, we used a biomass expansion factor method to estimate C pool from 1977 to 2018. The results suggest that afforestation practices, forest growth, and environmental changes were the main drivers of increased C sink. Thus, this study provided an essential basis for achieving China's C neutrality target.
Anne Schucknecht, Bumsuk Seo, Alexander Krämer, Sarah Asam, Clement Atzberger, and Ralf Kiese
Biogeosciences, 19, 2699–2727, https://doi.org/10.5194/bg-19-2699-2022, https://doi.org/10.5194/bg-19-2699-2022, 2022
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Actual maps of grassland traits could improve local farm management and support environmental assessments. We developed, assessed, and applied models to estimate dry biomass and plant nitrogen (N) concentration in pre-Alpine grasslands with drone-based multispectral data and canopy height information. Our results indicate that machine learning algorithms are able to estimate both parameters but reach a better level of performance for biomass.
Ramona J. Heim, Andrey Yurtaev, Anna Bucharova, Wieland Heim, Valeriya Kutskir, Klaus-Holger Knorr, Christian Lampei, Alexandr Pechkin, Dora Schilling, Farid Sulkarnaev, and Norbert Hölzel
Biogeosciences, 19, 2729–2740, https://doi.org/10.5194/bg-19-2729-2022, https://doi.org/10.5194/bg-19-2729-2022, 2022
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Fires will probably increase in Arctic regions due to climate change. Yet, the long-term effects of tundra fires on carbon (C) and nitrogen (N) stocks and cycling are still unclear. We investigated the long-term fire effects on C and N stocks and cycling in soil and aboveground living biomass.
We found that tundra fires did not affect total C and N stocks because a major part of the stocks was located belowground in soils which were largely unaltered by fire.
Aileen B. Baird, Edward J. Bannister, A. Robert MacKenzie, and Francis D. Pope
Biogeosciences, 19, 2653–2669, https://doi.org/10.5194/bg-19-2653-2022, https://doi.org/10.5194/bg-19-2653-2022, 2022
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Forest environments contain a wide variety of airborne biological particles (bioaerosols) important for plant and animal health and biosphere–atmosphere interactions. Using low-cost sensors and a free-air carbon dioxide enrichment (FACE) experiment, we monitor the impact of enhanced CO2 on airborne particles. No effect of the enhanced CO2 treatment on total particle concentrations was observed, but a potential suppression of high concentration bioaerosol events was detected under enhanced CO2.
Melanie S. Verlinden, Hamada AbdElgawad, Arne Ven, Lore T. Verryckt, Sebastian Wieneke, Ivan A. Janssens, and Sara Vicca
Biogeosciences, 19, 2353–2364, https://doi.org/10.5194/bg-19-2353-2022, https://doi.org/10.5194/bg-19-2353-2022, 2022
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Zea mays grows in mesocosms with different soil nutrition levels. At low phosphorus (P) availability, leaf physiological activity initially decreased strongly. P stress decreased over the season. Arbuscular mycorrhizal fungi (AMF) symbiosis increased over the season. AMF symbiosis is most likely responsible for gradual reduction in P stress.
Guoyu Lan, Bangqian Chen, Chuan Yang, Rui Sun, Zhixiang Wu, and Xicai Zhang
Biogeosciences, 19, 1995–2005, https://doi.org/10.5194/bg-19-1995-2022, https://doi.org/10.5194/bg-19-1995-2022, 2022
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Little is known about the impact of rubber plantations on diversity of the Great Mekong Subregion. In this study, we uncovered latitudinal gradients of plant diversity of rubber plantations. Exotic species with high dominance result in loss of plant diversity of rubber plantations. Not all exotic species would reduce plant diversity of rubber plantations. Much more effort should be made to balance agricultural production with conservation goals in this region.
Ulrike Hiltner, Andreas Huth, and Rico Fischer
Biogeosciences, 19, 1891–1911, https://doi.org/10.5194/bg-19-1891-2022, https://doi.org/10.5194/bg-19-1891-2022, 2022
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Quantifying biomass loss rates due to stem mortality is important for estimating the role of tropical forests in the global carbon cycle. We analyse the consequences of long-term elevated stem mortality for tropical forest dynamics and biomass loss. Based on simulations, we developed a statistical model to estimate biomass loss rates of forests in different successional states from forest attributes. Assuming a doubling of tree mortality, biomass loss increased from 3.2 % yr-1 to 4.5 % yr-1.
Jon Cranko Page, Martin G. De Kauwe, Gab Abramowitz, Jamie Cleverly, Nina Hinko-Najera, Mark J. Hovenden, Yao Liu, Andy J. Pitman, and Kiona Ogle
Biogeosciences, 19, 1913–1932, https://doi.org/10.5194/bg-19-1913-2022, https://doi.org/10.5194/bg-19-1913-2022, 2022
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Although vegetation responds to climate at a wide range of timescales, models of the land carbon sink often ignore responses that do not occur instantly. In this study, we explore the timescales at which Australian ecosystems respond to climate. We identified that carbon and water fluxes can be modelled more accurately if we include environmental drivers from up to a year in the past. The importance of antecedent conditions is related to ecosystem aridity but is also influenced by other factors.
Qing Sun, Valentin H. Klaus, Raphaël Wittwer, Yujie Liu, Marcel G. A. van der Heijden, Anna K. Gilgen, and Nina Buchmann
Biogeosciences, 19, 1853–1869, https://doi.org/10.5194/bg-19-1853-2022, https://doi.org/10.5194/bg-19-1853-2022, 2022
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Drought is one of the biggest challenges for future food production globally. During a simulated drought, pea and barley mainly relied on water from shallow soil depths, independent of different cropping systems.
David Kienle, Anna Walentowitz, Leyla Sungur, Alessandro Chiarucci, Severin D. H. Irl, Anke Jentsch, Ole R. Vetaas, Richard Field, and Carl Beierkuhnlein
Biogeosciences, 19, 1691–1703, https://doi.org/10.5194/bg-19-1691-2022, https://doi.org/10.5194/bg-19-1691-2022, 2022
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Volcanic islands consist mainly of basaltic rocks. Additionally, there are often occurrences of small phonolite rocks differing in color and surface. On La Palma (Canary Islands), phonolites appear to be more suitable for plants than the omnipresent basalts. Therefore, we expected phonolites to be species-rich with larger plant individuals compared to the surrounding basaltic areas. Indeed, as expected, we found more species on phonolites and larger plant individuals in general.
Vera Porwollik, Susanne Rolinski, Jens Heinke, Werner von Bloh, Sibyll Schaphoff, and Christoph Müller
Biogeosciences, 19, 957–977, https://doi.org/10.5194/bg-19-957-2022, https://doi.org/10.5194/bg-19-957-2022, 2022
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The study assesses impacts of grass cover crop cultivation on cropland during main-crop off-season periods applying the global vegetation model LPJmL (V.5.0-tillage-cc). Compared to simulated bare-soil fallowing practices, cover crops led to increased soil carbon content and reduced nitrogen leaching rates on the majority of global cropland. Yield responses of main crops following cover crops vary with location, duration of altered management, crop type, water regime, and tillage practice.
Tzu-Hsuan Tu, Li-Ling Chen, Yi-Ping Chiu, Li-Hung Lin, Li-Wei Wu, Francesco Italiano, J. Bruce H. Shyu, Seyed Naser Raisossadat, and Pei-Ling Wang
Biogeosciences, 19, 831–843, https://doi.org/10.5194/bg-19-831-2022, https://doi.org/10.5194/bg-19-831-2022, 2022
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This investigation of microbial biogeography in terrestrial mud volcanoes (MVs) covers study sites over a geographic distance of up to 10 000 km across the Eurasian continent. It compares microbial community compositions' coupling with geochemical data across a 3D space. We demonstrate that stochastic processes operating at continental scales and environmental filtering at local scales drive the formation of patchy habitats and the pattern of diversification for microbes in terrestrial MVs.
Sami W. Rifai, Martin G. De Kauwe, Anna M. Ukkola, Lucas A. Cernusak, Patrick Meir, Belinda E. Medlyn, and Andy J. Pitman
Biogeosciences, 19, 491–515, https://doi.org/10.5194/bg-19-491-2022, https://doi.org/10.5194/bg-19-491-2022, 2022
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Australia's woody ecosystems have experienced widespread greening despite a warming climate and repeated record-breaking droughts and heat waves. Increasing atmospheric CO2 increases plant water use efficiency, yet quantifying the CO2 effect is complicated due to co-occurring effects of global change. Here we harmonized a 38-year satellite record to separate the effects of climate change, land use change, and disturbance to quantify the CO2 fertilization effect on the greening phenomenon.
Cited articles
Aiba, S.-I. and Kohyama, T.: Crown Architecture and Life-History Traits of 14 Tree Species in a Warm- Temperate Rain Forest: Significance of Spatial Heterogeneity, J. Ecol., 85, 611–624, https://doi.org/10.2307/2960532, 1997. a
Anav, A., Friedlingstein, P., Beer, C., Ciais, P., Harper, A., Jones, C., Murray-Tortarolo, G., Papale, D., Parazoo, N. C., Peylin, P., Piao, S., Sitch, S., Viovy, N., Wiltshire, A., and Zhao, M.: Spatiotemporal Patterns of Terrestrial Gross Primary Production: A Review: GPP Spatiotemporal Patterns, Rev. Geophys., 53, 785–818, https://doi.org/10.1002/2015RG000483, 2015. a
Anderson-Teixeira, K. J., Herrmann, V., Rollinson, C. R., Gonzalez, B., Gonzalez-Akre, E. B., Pederson, N., Alexander, M. R., Allen, C. D., Alfaro-Sánchez, R., Awada, T., Baltzer, J. L., Baker, P. J., Birch, J. D., Bunyavejchewin, S., Cherubini, P., Davies, S. J., Dow, C., Helcoski, R., Kašpar, J., Lutz, J. A., Margolis, E. Q., Maxwell, J. T., McMahon, S. M., Piponiot, C., Russo, S. E., Šamonil, P., Sniderhan, A. E., Tepley, A. J., Vašíčková, I., Vlam, M., and Zuidema, P. A.: Joint Effects of Climate, Tree Size, and Year on Annual Tree Growth Derived from Tree-ring Records of Ten Globally Distributed Forests, Glob. Change Biol., 28, 245–266, https://doi.org/10.1111/gcb.15934, 2022. a
Beaumont, M. A., Zhang, W., and Balding, D. J.: Approximate Bayesian Computation in Population Genetics, Genetics, 162, 2025–2035, https://doi.org/10.1093/genetics/162.4.2025, 2002. a
Binkley, D.: Acorn Review: The Persistent Mystery of Declining Growth in Older Forests, Forest Ecol. Manag., 538, 121004, https://doi.org/10.1016/j.foreco.2023.121004, 2023. a
Bohn, F. J. and Huth, A.: The Importance of Forest Structure to Biodiversity–Productivity Relationships, Roy. Soc. Open Sci., 4, 160521, https://doi.org/10.1098/rsos.160521, 2017. a, b, c
Bohn, F. J., Frank, K., and Huth, A.: Of Climate and Its Resulting Tree Growth: Simulating the Productivity of Temperate Forests, Ecol. Model., 278, 9–17, https://doi.org/10.1016/j.ecolmodel.2014.01.021, 2014. a, b, c
Bohn, F. J., May, F., and Huth, A.: Species Composition and Forest Structure Explain the Temperature Sensitivity Patterns of Productivity in Temperate Forests, Biogeosciences, 15, 1795–1813, https://doi.org/10.5194/bg-15-1795-2018, 2018. a
Bugmann, H. and Seidl, R.: The Evolution, Complexity and Diversity of Models of Long-term Forest Dynamics, J. Ecol., 110, 2288–2307, https://doi.org/10.1111/1365-2745.13989, 2022. a, b
Cartis, C., Fiala, J., Marteau, B., and Roberts, L.: Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers, ACM T. Math. Software, 45, 1–41, https://doi.org/10.1145/3338517, 2019. a
Chisholm, R. A., Muller-Landau, H. C., Abdul Rahman, K., Bebber, D. P., Bin, Y., Bohlman, S. A., Bourg, N. A., Brinks, J., Bunyavejchewin, S., Butt, N., Cao, H., Cao, M., Cárdenas, D., Chang, L.-W., Chiang, J.-M., Chuyong, G., Condit, R., Dattaraja, H. S., Davies, S., Duque, A., Fletcher, C., Gunatilleke, N., Gunatilleke, S., Hao, Z., Harrison, R. D., Howe, R., Hsieh, C.-F., Hubbell, S. P., Itoh, A., Kenfack, D., Kiratiprayoon, S., Larson, A. J., Lian, J., Lin, D., Liu, H., Lutz, J. A., Ma, K., Malhi, Y., McMahon, S., McShea, W., Meegaskumbura, M., Mohd. Razman, S., Morecroft, M. D., Nytch, C. J., Oliveira, A., Parker, G. G., Pulla, S., Punchi-Manage, R., Romero-Saltos, H., Sang, W., Schurman, J., Su, S.-H., Sukumar, R., Sun, I.-F., Suresh, H. S., Tan, S., Thomas, D., Thomas, S., Thompson, J., Valencia, R., Wolf, A., Yap, S., Ye, W., Yuan, Z., and Zimmerman, J. K.: Scale-Dependent Relationships between Tree Species Richness and Ecosystem Function in Forests, J. Ecol., 101, 1214–1224, https://doi.org/10.1111/1365-2745.12132, 2013. a, b, c, d
Chojnacky, D. C., Heath, L. S., and Jenkins, J. C.: Updated Generalized Biomass Equations for North American Tree Species, Forestry, 87, 129–151, https://doi.org/10.1093/forestry/cpt053, 2014. a, b
Collalti, A., Ibrom, A., Stockmarr, A., Cescatti, A., Alkama, R., Fernández-Martínez, M., Matteucci, G., Sitch, S., Friedlingstein, P., Ciais, P., Goll, D. S., Nabel, J. E. M. S., Pongratz, J., Arneth, A., Haverd, V., and Prentice, I. C.: Forest Production Efficiency Increases with Growth Temperature, Nat. Commun., 11, 5322, https://doi.org/10.1038/s41467-020-19187-w, 2020a. a, b
Collalti, A., Tjoelker, M. G., Hoch, G., Mäkelä, A., Guidolotti, G., Heskel, M., Petit, G., Ryan, M. G., Battipaglia, G., Matteucci, G., and Prentice, I. C.: Plant Respiration: Controlled by Photosynthesis or Biomass?, Glob. Change Biol., 26, 1739–1753, https://doi.org/10.1111/gcb.14857, 2020b. a
Costanza, R., d'Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, B., Limburg, K., Naeem, S., O'Neill, R. V., Paruelo, J., Raskin, R. G., Sutton, P., and van den Belt, M.: The Value of Ecosystem Services: Putting the Issues in Perspective, Ecol. Econ., 25, 67–72, https://doi.org/10.1016/S0921-8009(98)00019-6, 1998. a
Csilléry, K., Blum, M. G., Gaggiotti, O. E., and François, O.: Approximate Bayesian Computation (ABC) in Practice, Trend. Ecol. Evol., 25, 410–418, https://doi.org/10.1016/j.tree.2010.04.001, 2010. a
Dănescu, A., Albrecht, A. T., and Bauhus, J.: Structural Diversity Promotes Productivity of Mixed, Uneven-Aged Forests in Southwestern Germany, Oecologia, 182, 319–333, https://doi.org/10.1007/s00442-016-3623-4, 2016. a, b
del Río, M., Bravo-Oviedo, A., Ruiz-Peinado, R., and Condés, S.: Tree Allometry Variation in Response to Intra- and Inter-Specific Competitions, Trees, 33, 121–138, https://doi.org/10.1007/s00468-018-1763-3, 2019. a
Fischer, R., Bohn, F., Dantas de Paula, M., Dislich, C., Groeneveld, J., Gutiérrez, A. G., Kazmierczak, M., Knapp, N., Lehmann, S., Paulick, S., Pütz, S., Rödig, E., Taubert, F., Köhler, P., and Huth, A.: Lessons Learned from Applying a Forest Gap Model to Understand Ecosystem and Carbon Dynamics of Complex Tropical Forests, Ecol. Model., 326, 124–133, https://doi.org/10.1016/j.ecolmodel.2015.11.018, 2016. a, b, c, d, e
Fischer, S. M., Wang, X., and Huth, A.: Simulated forests for the Changbaishan ForestGEO site, Zenodo [data set], https://doi.org/10.5281/zenodo.12734039, 2024. a
Forrester, D. I.: Does Individual-Tree Biomass Growth Increase Continuously with Tree Size?, Forest Ecol. Manag., 481, 118717, https://doi.org/10.1016/j.foreco.2020.118717, 2021. a
Forrester, D. I. and Bauhus, J.: A Review of Processes Behind Diversity – Productivity Relationships in Forests, Curr. Forest. Reports, 2, 45–61, https://doi.org/10.1007/s40725-016-0031-2, 2016. a, b, c, d
Foster, J. R., Finley, A. O., D'Amato, A. W., Bradford, J. B., and Banerjee, S.: Predicting Tree Biomass Growth in the Temperate–Boreal Ecotone: Is Tree Size, Age, Competition, or Climate Response Most Important?, Glob. Change Biol., 22, 2138–2151, https://doi.org/10.1111/gcb.13208, 2016. a
Gea-Izquierdo, G. and Sánchez-González, M.: Forest Disturbances and Climate Constrain Carbon Allocation Dynamics in Trees, Glob. Change Biol., 28, 4342–4358, https://doi.org/10.1111/gcb.16172, 2022. a
Gibbons, P., Lindenmayer, D. B., Fischer, J., Manning, A. D., Weinberg, A., Seddon, J., Ryan, P., and Barrett, G.: The Future of Scattered Trees in Agricultural Landscapes, Conserv. Biol., 22, 1309–1319, https://doi.org/10.1111/j.1523-1739.2008.00997.x, 2008. a
Gower, S. T., McMurtrie, R. E., and Murty, D.: Aboveground Net Primary Production Decline with Stand Age: Potential Causes, Trend. Ecol. Evol., 11, 378–382, https://doi.org/10.1016/0169-5347(96)10042-2, 1996. a, b
Jha, S., Das, J., and Goyal, M. K.: Assessment of Risk and Resilience of Terrestrial Ecosystem Productivity under the Influence of Extreme Climatic Conditions over India, Sci. Rep., 9, 18923, https://doi.org/10.1038/s41598-019-55067-0, 2019. a
Kohyama, T., Suzuki, E., Partomihardjo, T., Yamada, T., and Kubo, T.: Tree Species Differentiation in Growth, Recruitment and Allometry in Relation to Maximum Height in a Bornean Mixed Dipterocarp Forest: Tree Species Differentiation, J. Ecol., 91, 797–806, https://doi.org/10.1046/j.1365-2745.2003.00810.x, 2003. a
LaRue, E. A., Knott, J. A., Domke, G. M., Chen, H. Y., Guo, Q., Hisano, M., Oswalt, C., Oswalt, S., Kong, N., Potter, K. M., and Fei, S.: Structural Diversity as a Reliable and Novel Predictor for Ecosystem Productivity, Front. Ecol. Environ., 21, 33–39, https://doi.org/10.1002/fee.2586, 2023. a
Lehmann, S. and Huth, A.: Fast Calibration of a Dynamic Vegetation Model with Minimum Observation Data, Ecol. Model., 301, 98–105, https://doi.org/10.1016/j.ecolmodel.2015.01.013, 2015. a
Lett, S. and Dorrepaal, E.: Global Drivers of Tree Seedling Establishment at Alpine Treelines in a Changing Climate, Funct. Ecol., 32, 1666–1680, https://doi.org/10.1111/1365-2435.13137, 2018. a
Liu, R., Chen, J., Liu, J., Deng, F., and Sun, R.: Application of a New Leaf Area Index Algorithm to China's Landmass Using MODIS Data for Carbon Cycle Research, J. Environ. Manag., 85, 649–658, https://doi.org/10.1016/j.jenvman.2006.04.023, 2007. a
Liu, X., Swenson, N. G., Lin, D., Mi, X., Umaña, M. N., Schmid, B., and Ma, K.: Linking Individual-level Functional Traits to Tree Growth in a Subtropical Forest, Ecology, 97, 2396–2405, https://doi.org/10.1002/ecy.1445, 2016. a
McElhinny, C., Gibbons, P., Brack, C., and Bauhus, J.: Forest and Woodland Stand Structural Complexity: Its Definition and Measurement, Forest Ecol. Manag., 218, 1–24, https://doi.org/10.1016/j.foreco.2005.08.034, 2005. a
Merganičová, K., Merganič, J., Lehtonen, A., Vacchiano, G., Sever, M. Z. O., Augustynczik, A. L. D., Grote, R., Kyselová, I., Mäkelä, A., Yousefpour, R., Krejza, J., Collalti, A., and Reyer, C. P. O.: Forest Carbon Allocation Modelling under Climate Change, Tree Physiol., 39, 1937–1960, https://doi.org/10.1093/treephys/tpz105, 2019. a
Munné-Bosch, S.: Limits to Tree Growth and Longevity, Trend. Plant Sci., 23, 985–993, https://doi.org/10.1016/j.tplants.2018.08.001, 2018. a, b
Niinemets, Ü. and Valladares, F.: Tolerance to Shade, Drought, and Waterlogging of Temperate Northern Hemisphere Trees and Shrubs, Ecol. Monogr., 76, 521–547, https://doi.org/10.1890/0012-9615(2006)076[0521:TTSDAW]2.0.CO;2, 2006. a
O'Leary, B. M., Asao, S., Millar, A. H., and Atkin, O. K.: Core Principles Which Explain Variation in Respiration across Biological Scales, New Phytol., 222, 670–686, https://doi.org/10.1111/nph.15576, 2019. a
Park, J., Kim, H. S., Jo, H. K., and Jung, I. B.: The Influence of Tree Structural and Species Diversity on Temperate Forest Productivity and Stability in Korea, Forests, 10, 1113, https://doi.org/10.3390/f10121113, 2019. a, b, c, d
Paulick, S., Dislich, C., Homeier, J., Fischer, R., and Huth, A.: The Carbon Fluxes in Different Successional Stages: Modelling the Dynamics of Tropical Montane Forests in South Ecuador, Forest Ecosyst., 4, 5, https://doi.org/10.1186/s40663-017-0092-0, 2017. a
Piponiot, C., Anderson-Teixeira, K. J., Davies, S. J., Allen, D., Bourg, N. A., Burslem, D. F. R. P., Cárdenas, D., Chang-Yang, C.-H., Chuyong, G., Cordell, S., Dattaraja, H. S., Duque, Á., Ediriweera, S., Ewango, C., Ezedin, Z., Filip, J., Giardina, C. P., Howe, R., Hsieh, C.-F., Hubbell, S. P., Inman-Narahari, F. M., Itoh, A., Janík, D., Kenfack, D., Král, K., Lutz, J. A., Makana, J.-R., McMahon, S. M., McShea, W., Mi, X., Bt. Mohamad, M., Novotný, V., O'Brien, M. J., Ostertag, R., Parker, G., Pérez, R., Ren, H., Reynolds, G., Md Sabri, M. D., Sack, L., Shringi, A., Su, S.-H., Sukumar, R., Sun, I.-F., Suresh, H. S., Thomas, D. W., Thompson, J., Uriarte, M., Vandermeer, J., Wang, Y., Ware, I. M., Weiblen, G. D., Whitfeld, T. J. S., Wolf, A., Yao, T. L., Yu, M., Yuan, Z., Zimmerman, J. K., Zuleta, D., and Muller-Landau, H. C.: Distribution of Biomass Dynamics in Relation to Tree Size in Forests across the World, New Phytol., 234, 1664–1677, https://doi.org/10.1111/nph.17995, 2022. a, b, c, d, e
Potkay, A., Hölttä, T., Trugman, A. T., and Fan, Y.: Turgor-Limited Predictions of Tree Growth, Height and Metabolic Scaling over Tree Lifespans, Tree Physiol., 42, 229–252, https://doi.org/10.1093/treephys/tpab094, 2022. a
Prislan, P., Gričar, J., De Luis, M., Smith, K. T., and Čufar, K.: Phenological Variation in Xylem and Phloem Formation in Fagus Sylvatica from Two Contrasting Sites, Agr. Forest Meteorol., 180, 142–151, https://doi.org/10.1016/j.agrformet.2013.06.001, 2013. a
Rödig, E., Cuntz, M., Heinke, J., Rammig, A., and Huth, A.: Spatial Heterogeneity of Biomass and Forest Structure of the Amazon Rain Forest: Linking Remote Sensing, Forest Modelling and Field Inventory, Global Ecol. Biogeogr., 26, 1292–1302, https://doi.org/10.1111/geb.12639, 2017. a, b
Rödig, E., Cuntz, M., Rammig, A., Fischer, R., Taubert, F., and Huth, A.: The Importance of Forest Structure for Carbon Fluxes of the Amazon Rainforest, Environ. Res. Lett., 13, 054013, https://doi.org/10.1088/1748-9326/aabc61, 2018. a, b
Russell, M. B. and Weiskittel, A. R.: Maximum and Largest Crown Width Equations for 15 Tree Species in Maine, North. J. Appl. For., 28, 84–91, https://doi.org/10.1093/njaf/28.2.84, 2011. a
Sato, H., Itoh, A., and Kohyama, T.: SEIB-DGVM: A New Dynamic Global Vegetation Model Using a Spatially Explicit Individual-Based Approach, Ecol. Model., 200, 279–307, https://doi.org/10.1016/j.ecolmodel.2006.09.006, 2007. a, b
Sheil, D. and Bongers, F.: Interpreting Forest Diversity-Productivity Relationships: Volume Values, Disturbance Histories and Alternative Inferences, Forest Ecosyst., 7, 6, https://doi.org/10.1186/s40663-020-0215-x, 2020. a, b
Sheil, D., Eastaugh, C. S., Vlam, M., Zuidema, P. A., Groenendijk, P., Sleen, P., Jay, A., and Vanclay, J.: Does Biomass Growth Increase in the Largest Trees? Flaws, Fallacies and Alternative Analyses, Funct. Ecol., 31, 568–581, https://doi.org/10.1111/1365-2435.12775, 2017. a
Shugart, H. H., Wang, B., Fischer, R., Ma, J., Fang, J., Yan, X., Huth, A., and Armstrong, A. H.: Gap Models and Their Individual-Based Relatives in the Assessment of the Consequences of Global Change, Environ. Res. Lett., 13, 033001, https://doi.org/10.1088/1748-9326/aaaacc, 2018. a, b
Silva Pedro, M., Rammer, W., and Seidl, R.: Disentangling the Effects of Compositional and Structural Diversity on Forest Productivity, J. Veg. Sci., 28, 649–658, https://doi.org/10.1111/jvs.12505, 2017. a, b
Staudhammer, C. L. and LeMay, V. M.: Introduction and Evaluation of Possible Indices of Stand Structural Diversity, Can. J. Forest Res., 31, 1105–1115, https://doi.org/10.1139/x01-033, 2001. a, b
Stephenson, N. L., Das, A. J., Condit, R., Russo, S. E., Baker, P. J., Beckman, N. G., Coomes, D. A., Lines, E. R., Morris, W. K., Rüger, N., Álvarez, E., Blundo, C., Bunyavejchewin, S., Chuyong, G., Davies, S. J., Duque, Á., Ewango, C. N., Flores, O., Franklin, J. F., Grau, H. R., Hao, Z., Harmon, M. E., Hubbell, S. P., Kenfack, D., Lin, Y., Makana, J.-R., Malizia, A., Malizia, L. R., Pabst, R. J., Pongpattananurak, N., Su, S.-H., Sun, I.-F., Tan, S., Thomas, D., van Mantgem, P. J., Wang, X., Wiser, S. K., and Zavala, M. A.: Rate of Tree Carbon Accumulation Increases Continuously with Tree Size, Nature, 507, 90–93, https://doi.org/10.1038/nature12914, 2014. a
Sun, R., Chen, J. M., Zhu, Q., Zhou, Y., Liu, J., Li, J., Liu, S., Yan, G., and Tang, S.: Spatial Distribution of Net Primary Productivity and Evapotranspiration in Changbaishan Natural Reserve, China, Using Landsat ETM + Data, Can. J. Remote Sens., 30, 731–742, https://doi.org/10.5589/m04-040, 2004. a, b
Tang, J., Luyssaert, S., Richardson, A. D., Kutsch, W., and Janssens, I. A.: Steeper Declines in Forest Photosynthesis than Respiration Explain Age-Driven Decreases in Forest Growth, P. Natl. Acad. Sci. USA, 111, 8856–8860, https://doi.org/10.1073/pnas.1320761111, 2014. a, b
Varin, C.: On Composite Marginal Likelihoods, AStA Adv. Stat. Anal., 92, 1–28, https://doi.org/10.1007/s10182-008-0060-7, 2008. a
Waide, R. B., Willig, M. R., Steiner, C. F., Mittelbach, G., Gough, L., Dodson, S. I., Juday, G. P., and Parmenter, R.: The Relationship Between Productivity and Species Richness, Ann. Rev. Ecol. Syst., 30, 257–300, https://doi.org/10.1146/annurev.ecolsys.30.1.257, 1999. a, b
Wales, D. J. and Doye, J. P. K.: Global Optimization by Basin-hopping and the Lowest Energy Structures of Lennard-Jones Clusters Containing up to 110 atoms, J. Phys. Chem. A, 101, 5111–5116, https://doi.org/10.1021/jp970984n, 1997. a
Wang, H., Xu, J., Sheng, L., Ma, L., and Liu, X.: Study on the Characteristics of Climate Change in Changbai Mountain National Natural Reserve from 1958 to 2017, Arab. J. Geosci., 13, 777, https://doi.org/10.1007/s12517-020-05808-7, 2020. a
Wang, X., Ye, J., Li, B., Zhang, J., Lin, F., and Hao, Z.: Spatial Distributions of Species in an Old-Growth Temperate Forest, Northeastern China, Can. J. Forest Res., 40, 1011–1019, https://doi.org/10.1139/X10-056, 2010. a
Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., and Viterbo, P.: The WFDEI Meteorological Forcing Data Set: WATCH Forcing Data Methodology Applied to ERA-Interim Reanalysis Data, Water Resour. Res., 50, 7505–7514, https://doi.org/10.1002/2014WR015638, 2014. a
West, G. B., Brown, J. H., and Enquist, B. J.: A General Model for the Structure and Allometry of Plant Vascular Systems, Nature, 400, 664–667, https://doi.org/10.1038/23251, 1999. a
West, P. W.: Do Increasing Respiratory Costs Explain the Decline with Age of Forest Growth Rate?, J. Forest. Res., 31, 693–712, https://doi.org/10.1007/s11676-019-01020-w, 2020. a, b
Wiley, E. and Helliker, B.: A Re-evaluation of Carbon Storage in Trees Lends Greater Support for Carbon Limitation to Growth, New Phytol., 195, 285–289, https://doi.org/10.1111/j.1469-8137.2012.04180.x, 2012. a
Wu, J. B., Xiao, X. M., Guan, D. X., Shi, T. T., Jin, C. J., and Han, S. J.: Estimation of the Gross Primary Production of an Old-growth Temperate Mixed Forest Using Eddy Covariance and Remote Sensing, Int. J. Remote Sens., 30, 463–479, https://doi.org/10.1080/01431160802372143, 2009. a
Xie, X., Li, A., Jin, H., Tan, J., Wang, C., Lei, G., Zhang, Z., Bian, J., and Nan, X.: Assessment of Five Satellite-Derived LAI Datasets for GPP Estimations through Ecosystem Models, Sci. Total Environ., 690, 1120–1130, https://doi.org/10.1016/j.scitotenv.2019.06.516, 2019. a
Xu, Z., Liu, Q., Du, W., Zhou, G., Qin, L., and Sun, Z.: Modelling Leaf Phenology of Some Trees with Accumulated Temperature in a Temperate Forest in Northeast China, Forest Ecol. Manag., 489, 119085, https://doi.org/10.1016/j.foreco.2021.119085, 2021. a
Yunusa, I. A. M. and Newton, P. J.: Plants for Amelioration of Subsoil Constraints and Hydrological Control: The Primer-Plant Concept, Plant Soil, 257, 261–281, https://doi.org/10.1023/A:1027381329549, 2003. a
Short summary
Understanding the drivers of forest productivity is key for accurately assessing forests’ role in the global carbon cycle. Yet, despite significant research effort, it is not fully understood how the productivity of a forest can be deduced from its stand structure. We suggest tackling this problem by identifying the share and structure of immature trees within forests and show that this approach could significantly improve estimates of forests’ net productivity and carbon uptake.
Understanding the drivers of forest productivity is key for accurately assessing forests’ role...
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