Articles | Volume 21, issue 11
https://doi.org/10.5194/bg-21-2909-2024
© 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-21-2909-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jun 2024
Research article |
| 14 Jun 2024
| 14 Jun 2024
From simple labels to semantic image segmentation: leveraging citizen science plant photographs for tree species mapping in drone imagery
Salim Soltani
CORRESPONDING AUTHOR
Sensor-based Geoinformatics (geosense), University of Freiburg, Freiburg, Germany
Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig University, Leipzig, Germany
German Centre for Integrative Biodiversity Research (iDiv) Halle–Jena–Leipzig, Leipzig, Germany
Olga Ferlian
German Centre for Integrative Biodiversity Research (iDiv) Halle–Jena–Leipzig, Leipzig, Germany
Institute of Biology, Leipzig University, Leipzig, Germany
Nico Eisenhauer
German Centre for Integrative Biodiversity Research (iDiv) Halle–Jena–Leipzig, Leipzig, Germany
Institute of Biology, Leipzig University, Leipzig, Germany
Hannes Feilhauer
Remote Sensing Centre for Earth System Research (RSC4Earth), Leipzig University, Leipzig, Germany
Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig University, Leipzig, Germany
German Centre for Integrative Biodiversity Research (iDiv) Halle–Jena–Leipzig, Leipzig, Germany
Remote Sensing, Helmholtz Centre for Environmental Research, Leipzig, Germany
Teja Kattenborn
Sensor-based Geoinformatics (geosense), University of Freiburg, Freiburg, Germany
German Centre for Integrative Biodiversity Research (iDiv) Halle–Jena–Leipzig, Leipzig, Germany
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Simon Lotz, Teja Kattenborn, Julian Frey, Salim Soltani, Anna Göritz, Tom Jakszat, and Negin Katal
EGUsphere, https://doi.org/10.5194/egusphere-2025-1496, https://doi.org/10.5194/egusphere-2025-1496, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
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Digital hemispherical photography (DHP) is a valuable tool for monitoring leaf area index (LAI), a key factor in ecosystem productivity and climate interactions. We compared DHP with litter traps in a temperate forest and found that at a 20° view angle, both methods aligned well. We applied a calibration model to assess site variability which significantly improved accuracy. Our findings enhance the reliability of ground-based LAI monitoring, supporting better ecosystem assessments.
Kevin Wolf, Evelyn Jäkel, André Ehrlich, Michael Schäfer, Hannes Feilhauer, Andreas Huth, and Manfred Wendisch
EGUsphere, https://doi.org/10.5194/egusphere-2025-2082, https://doi.org/10.5194/egusphere-2025-2082, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
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This paper presents combined atmosphere-vegetation radiative transfer simulations to systematically investigate cloud-induced biases in remotely sensed vegetation indices (VIs) derived from below-cloud measurements. The biases in VIs have been investigated for the general case of two-band VIs, and for the special cases of the normalized difference vegetation index (NDVI), the normalized difference water index (NDWI), and the enhanced vegetation index (EVI).
Eya Cherif, Teja Kattenborn, Luke A. Brown, Michael Ewald, Katja Berger, Phuong D. Dao, Tobias B. Hank, Etienne Laliberté, Bing Lu, and Hannes Feilhauer
EGUsphere, https://doi.org/10.5194/egusphere-2025-1284, https://doi.org/10.5194/egusphere-2025-1284, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
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Hyperspectral imagery combined with machine learning enables accurate large-scale mapping of plant traits but struggles with uncertainty when facing unfamiliar environmental conditions. This study introduces a distance-based method that measures dissimilarities between new and training data to reliably quantify uncertainty. Results show it effectively identifies uncertain predictions, greatly improving the reliability of global vegetation monitoring compared to traditional methods.
Salim Soltani, Lauren E. Gillespie, Moises Exposito-Alonso, Olga Ferlian, Nico Eisenhauer, Hannes Feilhauer, and Teja Kattenborn
EGUsphere, https://doi.org/10.5194/egusphere-2025-662, https://doi.org/10.5194/egusphere-2025-662, 2025
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We introduce an automated approach for generating segmentation masks for citizen science plant photos, making them applicable to computer vision models. This framework effectively transforms citizen science data into a data treasure for segmentation models for plant species identification in aerial imagery. Using automatically labeled photos, we train segmentation models for mapping tree species in drone imagery, showcasing their potential for forestry, agriculture, and biodiversity monitoring.
Kevin Wolf, Evelyn Jäkel, André Ehrlich, Michael Schäfer, Hannes Feilhauer, Andreas Huth, Alexandra Weigelt, and Manfred Wendisch
EGUsphere, https://doi.org/10.5194/egusphere-2024-3614, https://doi.org/10.5194/egusphere-2024-3614, 2024
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This paper investigates the influence of clouds on the vegetation albedo using a coupled atmosphere-vegetation radiative transfer model. Both models are iteratively linked to more realistically simulate cloud-vegetation-radiation interactions over canopies. Solar, spectral and broadband irradiances have been simulated under varying cloud conditions. The simulated irradiances were used to investigate the spectral and broadband effect of clouds on vegetation albedo.
Simon Scheiter, Sophie Wolf, and Teja Kattenborn
Biogeosciences, 21, 4909–4926, https://doi.org/10.5194/bg-21-4909-2024, https://doi.org/10.5194/bg-21-4909-2024, 2024
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Biomes are widely used to map vegetation patterns at large spatial scales and to assess impacts of climate change, yet there is no consensus on a generally valid biome classification scheme. We used crowd-sourced species distribution data and trait data to assess whether trait information is suitable for delimiting biomes. Although the trait data were heterogeneous and had large gaps with respect to the spatial distribution, we found that a global trait-based biome classification was possible.
Related subject area
Biodiversity and Ecosystem Function: Terrestrial
Role of air–soil temperature in the leaf area index (LAI) course and role of height–diameter at breast height (DBH) in the maximum LAI during foliation of Platanus orientalis L. in an urban–rural greenway system
Ecosystem leaf area, gross primary production, and evapotranspiration responses to wildfire in the Columbia River basin
Optimal set of leaf and aboveground tree elements for predicting forest functioning
Water usage of old-growth oak at elevated CO2 in the FACE (Free-Air CO2 Enrichment) of climate change
Elephant megacarcasses increase local nutrient pools in African savanna soils and plants
Narrowing down dune establishment drivers on the beach
Combined effects of topography, soil moisture, and snow cover regimes on growth responses of grasslands in a low- mountain range (Vosges, France)
Soil smoldering in temperate forests: a neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios
Enhancing environmental models with a new downscaling method for global radiation in complex terrain
On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results
The fungal collaboration gradient drives root trait distribution and ecosystem processes in a tropical montane forest
Measuring and modeling waterlogging tolerance to predict the future for threatened lowland ash forests
Crowd-sourced trait data can be used to delimit global biomes
Biomass yield potential, feedstock quality, and nutrient removal of perennial buffer strips under continuous zero fertilizer application
Leaf habit drives leaf nutrient resorption globally alongside nutrient availability and climate
Soil and Biomass Carbon Storage is Much Higher in Central American than Andean Montane Forests
Reviews and syntheses: Current perspectives on biosphere research – 2024
Linking geomorphological processes and wildlife microhabitat selection: nesting birds select refuges generated by permafrost degradation in the Arctic
Distinguishing mature and immature trees allows estimating forest carbon uptake from stand structure
“Blooming” of litter-mixing effects: the role of flower and leaf litter interactions on decomposition in terrestrial and aquatic ecosystems
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
Kilometre-scale simulations over Fennoscandia reveal a large loss of tundra due to climate warming
Microclimate mapping using novel radiative transfer modelling
Root distributions predict shrub–steppe responses to precipitation intensity
Thermophilisation of Afromontane forest stands demonstrated in an elevation gradient experiment
Above-treeline ecosystems facing drought: lessons from the 2022 European summer heat wave
Canopy gaps and associated losses of biomass – combining UAV imagery and field data in a central Amazon forest
Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science
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)
Technical note: Novel estimates of the leaf relative uptake rate of carbonyl sulfide from optimality theory
Observed water and light limitation across global ecosystems
A question of scale: modeling biomass, gain and mortality distributions of a tropical forest
Seed traits and phylogeny explain plants' geographic distribution
Effect of the presence of plateau pikas on the ecosystem services of alpine meadows
Allometric equations and wood density parameters for estimating aboveground and woody debris biomass in Cajander larch (Larix cajanderi) forests of northeast Siberia
Strong influence of trees outside forest in regulating microclimate of intensively modified Afromontane landscapes
Excess radiation exacerbates drought stress impacts on canopy conductance along aridity gradients
Dispersal of bacteria and stimulation of permafrost decomposition by Collembola
Modeling the effects of alternative crop–livestock management scenarios on important ecosystem services for smallholder farming from a landscape perspective
Contrasting strategies of nutrient demand and use between savanna and forest ecosystems in a neotropical transition zone
Melih Öztürk, Turgay Biricik, and Rıdvan Koruyan
Biogeosciences, 22, 2351–2362, https://doi.org/10.5194/bg-22-2351-2025, https://doi.org/10.5194/bg-22-2351-2025, 2025
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Oriental plane leaf area index (LAI) values changed with a definite pattern compatible with phenological periods. Air–soil temperatures were significantly definitive regarding the course of mean LAIs, particularly during foliation. Tree height and diameter at breast height (DBH) were not correlated with point-based maximum LAIs. Point-based mean LAIs increased from 0.80 to 2.76 m2 m−2 during foliation. Mean tree height and DBH for point-based canopies ranged between 17.0–26.7 m and 26.5–38.2 cm, respectively.
Mingjie Shi, Nate McDowell, Huilin Huang, Faria Zahura, Lingcheng Li, and Xingyuan Chen
Biogeosciences, 22, 2225–2238, https://doi.org/10.5194/bg-22-2225-2025, https://doi.org/10.5194/bg-22-2225-2025, 2025
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Using Moderate Resolution Imaging Spectroradiometer data products, we quantitatively estimate the resistance and resilience of ecosystem functions to wildfires that occurred in the Columbia River basin in 2015. The carbon state exhibits lower resistance and resilience than the ecosystem fluxes. The random forest feature importance analysis indicates that burn severity plays a minor role in the resilience of grassland and a relatively major role in the resilience of forest and savanna.
Écio Souza Diniz, Eladio Rodríguez-Penedo, Roger Grau-Andrés, Jordi Vayreda, and Marcos Fernández-Martínez
Biogeosciences, 22, 2115–2132, https://doi.org/10.5194/bg-22-2115-2025, https://doi.org/10.5194/bg-22-2115-2025, 2025
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In this study, we found that the accumulation of nutrients (e.g., carbon, nitrogen, phosphorus, calcium) in leaves is an important factor in explaining tree growth in forest ecosystems. This result provides evidence for forest growth studies aimed at forest conservation and restoration to better direct their resources to data collection and measurement. Collecting data on nutrient stocks in tree leaves can also provide valuable information to broaden our understanding of forest functioning.
Susan E. Quick, Giulio Curioni, Nicholas J. Harper, Stefan Krause, and A. Robert MacKenzie
Biogeosciences, 22, 1557–1581, https://doi.org/10.5194/bg-22-1557-2025, https://doi.org/10.5194/bg-22-1557-2025, 2025
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To study the effects of rising CO2 levels on water usage of old-growth temperate oak forest, we monitored trees in an open-air elevated CO2 experiment for 5 years. We found 4 %–16 % leaf-on season reduction in daylight water usage for ~35% increase in atmospheric CO2. July-only reduction varied more widely. Tree water usage depended on tree size, i.e. stem size and projected canopy area, across all treatments. Experimental infrastructure increased the water usage of the trees in leaf-on season.
Courtney G. Reed, Michelle L. Budny, Johan T. du Toit, Ryan Helcoski, Joshua P. Schimel, Izak P. J. Smit, Tercia Strydom, Aimee Tallian, Dave I. Thompson, Helga van Coller, Nathan P. Lemoine, and Deron E. Burkepile
Biogeosciences, 22, 1583–1596, https://doi.org/10.5194/bg-22-1583-2025, https://doi.org/10.5194/bg-22-1583-2025, 2025
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We seek to understand the ecological legacies of elephants after death. We sampled soil and leaves at elephant carcass sites in South Africa and found that elephant carcasses release nutrients into soil, which plants take up and make available for consumption by herbivores. This research reveals a key way that elephants contribute to nutrient cycling in savannas after death. It also highlights an important process that may be lost in areas where elephant populations are in decline.
Jan-Markus Homberger, Sasja van Rosmalen, Michel Riksen, and Juul Limpens
Biogeosciences, 22, 1301–1320, https://doi.org/10.5194/bg-22-1301-2025, https://doi.org/10.5194/bg-22-1301-2025, 2025
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Understanding what determines the establishment of dune-building vegetation could help to better predict coastal dune initiation and development. We monitored the establishment of dune-building grasses and dune initiation in a large field experiment. Our results show that dune initiation takes place during peaks in dune-building grass establishment, which depend on favorable environmental conditions. Our findings can potentially be integrated into beach restoration and management strategies.
Pierre-Alexis Herrault, Albin Ullmann, and Damien Ertlen
Biogeosciences, 22, 705–724, https://doi.org/10.5194/bg-22-705-2025, https://doi.org/10.5194/bg-22-705-2025, 2025
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Mountain grasslands are impacted by climate change and need to adapt. Low-mountain grasslands are poorly understood compared to high-mountain massifs. Thanks to satellite archives, we found that grasslands occurring in the Vosges Mountains (France) exhibited stable productivity or tended to decrease in specific regions of the massif, with a reverse signal observed in high-mountain massifs. We also noted a high responsiveness in their growth strategy to soil moisture, snow regime, and topography.
Lilian Vallet, Charbel Abdallah, Thomas Lauvaux, Lilian Joly, Michel Ramonet, Philippe Ciais, Morgan Lopez, Irène Xueref-Remy, and Florent Mouillot
Biogeosciences, 22, 213–242, https://doi.org/10.5194/bg-22-213-2025, https://doi.org/10.5194/bg-22-213-2025, 2025
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The 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 Mteq CO2 fire emission, twice the global estimate. Fires contributed to 1.97 % of France's annual carbon footprint, reducing forest carbon sink by 30 % this year.
Arsène Druel, Julien Ruffault, Hendrik Davi, André Chanzy, Olivier Marloie, Miquel De Cáceres, Albert Olioso, Florent Mouillot, Christophe François, Kamel Soudani, and Nicolas K. Martin-StPaul
Biogeosciences, 22, 1–18, https://doi.org/10.5194/bg-22-1-2025, https://doi.org/10.5194/bg-22-1-2025, 2025
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Accurate radiation data are essential for understanding ecosystem functions and dynamics. Traditional large-scale data lack the precision needed for complex terrain. This study introduces a new model, which accounts for sub-daily direct and diffuse radiation effects caused by terrain features, to enhance the radiation data resolution using elevation maps. Tested on a mountainous area, this method significantly improved radiation estimates, benefiting predictions of forest functions.
Gab Abramowitz, Anna Ukkola, Sanaa Hobeichi, Jon Cranko Page, Mathew Lipson, Martin G. De Kauwe, Samuel Green, Claire Brenner, Jonathan Frame, Grey Nearing, Martyn Clark, Martin Best, Peter Anthoni, Gabriele Arduini, Souhail Boussetta, Silvia Caldararu, Kyeungwoo Cho, Matthias Cuntz, David Fairbairn, Craig R. Ferguson, Hyungjun Kim, Yeonjoo Kim, Jürgen Knauer, David Lawrence, Xiangzhong Luo, Sergey Malyshev, Tomoko Nitta, Jerome Ogee, Keith Oleson, Catherine Ottlé, Phillipe Peylin, Patricia de Rosnay, Heather Rumbold, Bob Su, Nicolas Vuichard, Anthony P. Walker, Xiaoni Wang-Faivre, Yunfei Wang, and Yijian Zeng
Biogeosciences, 21, 5517–5538, https://doi.org/10.5194/bg-21-5517-2024, https://doi.org/10.5194/bg-21-5517-2024, 2024
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This paper evaluates land models – computer-based models that simulate ecosystem dynamics; land carbon, water, and energy cycles; and the role of land in the climate system. It uses machine learning and AI approaches to show that, despite the complexity of land models, they do not perform nearly as well as they could given the amount of information they are provided with about the prediction problem.
Mateus Dantas de Paula, Tatiana Reichert, Laynara Lugli, Erica McGale, Kerstin Pierick, João Paulo Darela-Filho, Liam Langan, Jürgen Homeier, Anja Rammig, and Thomas Hickler
EGUsphere, https://doi.org/10.5194/egusphere-2024-3259, https://doi.org/10.5194/egusphere-2024-3259, 2024
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This study explores how plant roots, with different forms and functions, rely on fungal partnerships for nutrient uptake. This relationship was integrated into a vegetation model and was tested in a tropical forest in Ecuador. The model accurately predicted root traits and showed that without fungi, biomass decreased by up to 80 %. The findings highlight the critical role of fungi in ecosystem processes and suggest that root-fungal interactions should be considered in vegetation models.
Eric Gustafson, Dustin Bronson, Marcella Windmuller-Campione, Robert A. Slesak, and Deahn Donner
EGUsphere, https://doi.org/10.5194/egusphere-2024-3332, https://doi.org/10.5194/egusphere-2024-3332, 2024
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Black ash forests provide many ecological and tribal cultural benefits but may soon be killed by invasive insects. Black ash trees maintain forests on very wet sites by removing enough water to allow other species to survive. We combined results from physical experiments and a simulation model to project the ecological outcome of strategies to replace ash with species not killed by the insect. We found that this should work if ways can be found to ensure that planted trees survive to maturity.
Simon Scheiter, Sophie Wolf, and Teja Kattenborn
Biogeosciences, 21, 4909–4926, https://doi.org/10.5194/bg-21-4909-2024, https://doi.org/10.5194/bg-21-4909-2024, 2024
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Biomes are widely used to map vegetation patterns at large spatial scales and to assess impacts of climate change, yet there is no consensus on a generally valid biome classification scheme. We used crowd-sourced species distribution data and trait data to assess whether trait information is suitable for delimiting biomes. Although the trait data were heterogeneous and had large gaps with respect to the spatial distribution, we found that a global trait-based biome classification was possible.
Cheng-Hsien Lin, Colleen Zumpf, Chunhwa Jang, Thomas Voigt, Guanglong Tian, Olawale Oladeji, Albert Cox, Rehnuma Mehzabin, and DoKyoung Lee
Biogeosciences, 21, 4765–4784, https://doi.org/10.5194/bg-21-4765-2024, https://doi.org/10.5194/bg-21-4765-2024, 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. The forage-type buffer can be an ideal short-term candidate due to its great efficiency of nutrient scavenging; the bioenergy-type buffer showed better sustainability than the forage buffer and a continuous yield supply potential.
Gabriela Sophia, Silvia Caldararu, Benjamin David Stocker, and Sönke Zaehle
Biogeosciences, 21, 4169–4193, https://doi.org/10.5194/bg-21-4169-2024, https://doi.org/10.5194/bg-21-4169-2024, 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 on its role. These results are essential for comprehending plant nutrient status, plant productivity and nutrient cycling.
Cecilia M. Prada, Katherine D. Heineman, Maria J. Pardo, Camille Piponiot, and James W. Dalling
EGUsphere, https://doi.org/10.5194/egusphere-2024-2738, https://doi.org/10.5194/egusphere-2024-2738, 2024
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The influence of elevation and soil nutrient availability on carbon stocks has not been evaluated for ectomycorrhizal forests in the tropics. In western Panama we calculated C pools in ten plots in an elevational gradient varying in relative abundance of EM-trees. We found exceptionally high aboveground soil C in high elevation EM-forest, in contrast to arbuscular mycorrhizal-dominated Andean forests.
Friedrich J. Bohn, Ana Bastos, Romina Martin, Anja Rammig, Niak Sian Koh, Giles B. Sioen, Bram Buscher, Louise Carver, Fabrice DeClerck, Moritz Drupp, Robert Fletcher, Matthew Forrest, Alexandros Gasparatos, Alex Godoy-Faúndez, Gregor Hagedorn, Martin Hänsel, Jessica Hetzer, Thomas Hickler, Cornelia B. Krug, Stasja Koot, Xiuzhen Li, Amy Luers, Shelby Matevich, H. Damon Matthews, Ina C. Meier, Awaz Mohamed, Sungmin O, David Obura, Ben Orlove, Rene Orth, Laura Pereira, Markus Reichstein, Lerato Thakholi, Peter Verburg, and Yuki Yoshida
EGUsphere, https://doi.org/10.5194/egusphere-2024-2551, https://doi.org/10.5194/egusphere-2024-2551, 2024
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An interdisciplinary collaboration of 35 international researchers from 34 institutions highlighting nine recent findings in biosphere research. Within these themes, they discuss issues arising from climate change and other anthropogenic stressors, and highlight the co-benefits of nature-based solutions and ecosystem services. They discuss recent findings in the context of global trade and international policy frameworks, and highlight lessons for local implementation of nature-based solutions.
Madeleine-Zoé Corbeil-Robitaille, Éliane Duchesne, Daniel Fortier, Christophe Kinnard, and Joël Bêty
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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In the Arctic tundra, climate change is transforming the landscape, and this may impact wildlife. We focus on three nesting bird species and the islets they select as refuges from their main predator, the Arctic fox. A geomorphological process, ice-wedge polygon degradation, was found to play a key role in creating these refuges. This process is likely to affect predator–prey dynamics in the Arctic tundra, highlighting the connections between nature's physical and ecological systems.
Samuel M. Fischer, Xugao Wang, and Andreas Huth
Biogeosciences, 21, 3305–3319, https://doi.org/10.5194/bg-21-3305-2024, https://doi.org/10.5194/bg-21-3305-2024, 2024
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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.
Mery Ingrid Guimarães de Alencar, Rafael D. Guariento, Bertrand Guenet, Luciana S. Carneiro, Eduardo L. Voigt, and Adriano Caliman
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.
Xue Feng, Ruzhen Wang, Tianpeng Li, Jiangping Cai, Heyong Liu, Hui Li, and Yong Jiang
Biogeosciences, 21, 2641–2653, https://doi.org/10.5194/bg-21-2641-2024, https://doi.org/10.5194/bg-21-2641-2024, 2024
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Plant functional traits have been considered as reflecting adaptations to environmental variations, indirectly affecting ecosystem productivity. How soil acidification affects above- and belowground biomass by altering leaf and root traits remains poorly understood. We found divergent trait responses driven by soil environmental conditions in two dominant species, resulting in a decrease in aboveground biomass and an increase in belowground biomass.
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.
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.
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.
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.
Cited articles
Bayraktar, E., Basarkan, M. E., and Celebi, N.: A low-cost UAV framework towards ornamental plant detection and counting in the wild, ISPRS J. Photogramm., 167, 1–11, https://doi.org/10.1016/j.isprsjprs.2020.06.012, 2020. a
Bouguettaya, A., Zarzour, H., Kechida, A., and Taberkit, A. M.: Deep learning techniques to classify agricultural crops through UAV imagery: A review, Neural Comput. Appl., 34, 9511–9536, 2022. a
Braga, G., J. R., Peripato, V., Dalagnol, R., P. Ferreira, M., Tarabalka, Y., OC Aragão, L. E., F. de Campos Velho, H., Shiguemori, E. H., and Wagner, F. H.: Tree crown delineation algorithm based on a convolutional neural network, Remote Sens., 12, 1288, https://doi.org/10.3390/rs12081288, 2020. a
Brandt, M., Tucker, C. J., Kariryaa, A., Rasmussen, K., Abel, C., Small, J., Chave, J., Rasmussen, L. V., Hiernaux, P., Diouf, A. A., Kergoat, L., Mertz, O., Igel, C., Gieseke, F., Schöning, J., Li, S., Melocik, K., Meyer, J., Sinno, S., Romero, E., Glennie, E., Montagu, A., Dendoncker, M., and Fensholt, R.: An unexpectedly large count of trees in the West African Sahara and Sahel, Nature, 587, 78–82, https://doi.org/10.1038/s41586-020-2824-5, 2020. a
Brodrick, P. G., Davies, A. B., and Asner, G. P.: Uncovering ecological patterns with convolutional neural networks, Trends Ecol. Evol., 34, 734–745, https://doi.org/10.1016/j.tree.2019.03.006, 2019. a
Chandler, M., See, L., Copas, K., Bonde, A. M., López, B. C., Danielsen, F., Legind, J. K., Masinde, S., Miller-Rushing, A. J., Newman, G., Rosemartin, A., and Turak, E.: Contribution of citizen science towards international biodiversity monitoring, Biol. Conserv., 213, 280–294, https://doi.org/10.1016/j.biocon.2016.09.004, 2017. a
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Cloutier, M., Germain, M., and Laliberté, E.: Influence of Temperate Forest Autumn Leaf Phenology on Segmentation of Tree Species from UAV Imagery Using Deep Learning, bioRxiv, 2023–08, https://doi.org/10.1101/2023.08.03.548604, 2023. a, b, c
Curnick, D. J., Davies, A. J., Duncan, C., Freeman, R., Jacoby, D. M., Shelley, H. T., Rossi, C., Wearn, O. R., Williamson, M. J., and Pettorelli, N.: SmallSats: a new technological frontier in ecology and conservation?, Remote Sensing in Ecology and Conservation, 8, 139–150, https://doi.org/10.1002/rse2.239, 2021. a
De Sa, N. C., Castro, P., Carvalho, S., Marchante, E., López-Núñez, F. A., and Marchante, H.: Mapping the flowering of an invasive plant using unmanned aerial vehicles: is there potential for biocontrol monitoring?, Front. Plant Sci., 9, 293, https://doi.org/10.3389/fpls.2018.00293, 2018. a
Di Cecco, G. J., Barve, V., Belitz, M. W., Stucky, B. J., Guralnick, R. P., and Hurlbert, A. H.: Observing the observers: How participants contribute data to iNaturalist and implications for biodiversity science, BioScience, 71, 1179–1188, https://doi.org/10.1093/biosci/biab093, 2021. a, b, c
Fassnacht, F. E., Latifi, H., Stereńczak, K., Modzelewska, A., Lefsky, M., Waser, L. T., Straub, C., and Ghosh, A.: Review of studies on tree species classification from remotely sensed data, Remote Sens. Environ., 186, 64–87, https://doi.org/10.1016/j.rse.2016.08.013, 2016. a, b, c
Ferlian, O., Cesarz, S., Craven, D., Hines, J., Barry, K. E., Bruelheide, H., Buscot, F., Haider, S., Heklau, H., Herrmann, S., Kühn, P.,Pruschitzki, U., Schädler, M., Wagg, C., Weigelt, A., Wubet, T., and Eisenhauer, N.: Mycorrhiza in tree diversity–ecosystem function relationships: conceptual framework and experimental implementation, Ecosphere, 9, e02226, https://doi.org/10.1002/ecs2.2226, 2018. a
Fraisl, D., Hager, G., Bedessem, B., Gold, M., Hsing, P.-Y., Danielsen, F., Hitchcock, C. B., Hulbert, J. M., Piera, J., Spiers, H., Thiel, M., and Haklay, M.: Citizen science in environmental and ecological sciences, Nature Reviews Methods Primers, 2, 64, https://doi.org/10.1038/s43586-022-00144-4, 2022. a
Fricker, G. A., Ventura, J. D., Wolf, J. A., North, M. P., Davis, F. W., and Franklin, J.: A convolutional neural network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery, Remote Sens., 11, 2326, https://doi.org/10.3390/rs11192326, 2019. a
Galuszynski, N. C., Duker, R., Potts, A. J., and Kattenborn, T.: Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery, PeerJ, 10, e14219, https://doi.org/10.7717/peerj.14219, 2022. a, b
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Hoeser, T. and Kuenzer, C.: Object detection and image segmentation with deep learning on earth observation data: A review-part i: Evolution and recent trends, Remote Sens., 12, 1667, https://doi.org/10.3390/rs12101667, 2020. a
Ivanova, N. and Shashkov, M.: The possibilities of GBIF data use in ecological research, Russ. J. Ecol., 52, 1–8, 2021. a
Johnston, A., Matechou, E., and Dennis, E. B.: Outstanding challenges and future directions for biodiversity monitoring using citizen science data, Methods in Ecol. Evol., 14, 103–116, https://doi.org/10.1111/2041-210X.13834, 2023. a
Kattenborn, T. and Soltani, S.: CrowdVision2TreeSegment, Zenodo [data set], https://doi.org/10.5281/zenodo.10019552, 2023. a, b
Kattenborn, T., Eichel, J., and Fassnacht, F. E.: Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery, Sci. Rep., 9, 1–9, https://doi.org/10.1038/s41598-019-53797-9, 2019a. a
Kattenborn, T., Lopatin, J., Förster, M., Braun, A. C., and Fassnacht, F. E.: UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data, Remote Sens. Environ., 227, 61–73, https://doi.org/10.1016/j.rse.2019.03.025, 2019b. a
Kattenborn, T., Schiefer, F., Frey, J., Feilhauer, H., Mahecha, M. D., and Dormann, C. F.: Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks, ISPRS Open Journal of Photogrammetry and Remote Sensing, 5, 100018, https://doi.org/10.1016/j.ophoto.2022.100018, 2022. a
Leitão, P. J., Schwieder, M., Pötzschner, F., Pinto, J. R., Teixeira, A. M., Pedroni, F., Sanchez, M., Rogass, C., van der Linden, S., Bustamante, M. M. and Hostert, P.: From sample to pixel: multi-scale remote sensing data for upscaling aboveground carbon data in heterogeneous landscapes, Ecosphere, 9, e02298, https://doi.org/10.1002/ecs2.2298, 2018. a
Lopatin, J., Fassnacht, F. E., Kattenborn, T., and Schmidtlein, S.: Mapping plant species in mixed grassland communities using close range imaging spectroscopy, Remote Sens. Environ., 201, 12–23, https://doi.org/10.1016/j.rse.2017.08.031, 2017. a
Lopatin, J., Dolos, K., Kattenborn, T., and Fassnacht, F. E.: How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing, Remote Sens. Ecol. Conserv., 5, 302–317, https://doi.org/10.1002/rse2.109, 2019. a, b
Ma, L., Liu, Y., Zhang, X., Ye, Y., Yin, G., and Johnson, B. A.: Deep learning in remote sensing applications: A meta-analysis and review, ISPRS J. Photogramm., 152, 166–177, https://doi.org/10.1016/j.isprsjprs.2019.04.015, 2019. a
Mäder, P., Boho, D., Rzanny, M., Seeland, M., Wittich, H. C., Deggelmann, A., and Wäldchen, J.: The flora incognita app–interactive plant species identification, Methods in Ecol. Evol., 12, 1335–1342, https://doi.org/10.1111/2041-210X.13611, 2021. a
Maes, W. H. and Steppe, K.: Perspectives for remote sensing with unmanned aerial vehicles in precision agriculture, Trends Plant Sci., 24, 152–164, https://doi.org/10.1016/j.tplants.2018.11.007, 2019. a
Milas, A. S., Arend, K., Mayer, C., Simonson, M. A., and Mackey, S.: Different colours of shadows: Classification of UAV images, Int. J. Remote Sens., 38, 3084–3100, https://doi.org/10.1080/01431161.2016.1274449, 2017. a
Molls, C.: The Obs-Services and their potentials for biodiversity data assessments with a test of the current reliability of photo-identification of Coleoptera in the field, Tijdschrift voor Entomologie, 164, 143–153, 2021. a
Müllerová, J., Brundu, G., Große-Stoltenberg, A., Kattenborn, T., and Richardson, D. M.: Pattern to process, research to practice: remote sensing of plant invasions, Biol. Invasions, 25, 3651–3676, https://doi.org/10.1007/s10530-023-03150-z, 2023. a
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Short summary
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.
In this research, we developed a novel method using citizen science data as alternative training...
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