the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
BOSSE v1.0: the Biodiversity Observing System Simulation Experiment
Abstract. As global and regional vegetation diversity loss threatens essential ecosystem services under climate change, monitoring biodiversity dynamics and its role in ecosystem services is crucial in predicting future states and providing insights into climate adaptation and mitigation. In this context, remote sensing (RS) offers a unique opportunity to assess long-term and large-scale biodiversity dynamics. However, the development of this capability suffers from the lack of consistent, global, and spatially matched ground diversity measurements that enable testing and validating generalizable methodologies. The Biodiversity Observing System Simulation Experiment (BOSSE) aims to alleviate the lack of this information by means of simulation. BOSSE simulates synthetic landscapes featuring communities of various vegetation species whose traits´s seasonality and ecosystem functions (e.g., biospheric fluxes) respond to meteorology and environmental factors. Simultaneously, BOSSE can generate various types of remote sensing imagery linked to the traits and functions via radiative transfer theory. Specifically, it simulates hyperspectral reflectance factors (R), which can be convolved to the bands of specific RS missions, sun-induced chlorophyll fluorescence (SIF), and land surface temperature (LST). The resolution of the RS imagery can be degraded to test the robustness of different approaches to information loss and the capability of new methodologies to overcome this limitation. Therefore, BOSSE enables users to evaluate the capability of different methods to estimate plant functional diversity (PFD) from RS and link it to ecosystem functions. We expect BOSSE to support the benchmarking and improvement of old and novel methods dedicated to estimating plant diversity and exploring the biodiversity-ecosystem function (BEF) relationships, facilitating advances in this growing area of research and supporting the analysis and interpretation of real-world measurements. We also expect BOSSE to be extended and include new features that provide more realistic simulations that help answer more complex questions related to climate change and global warming.
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Status: open (until 09 Apr 2025)
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RC1: 'Comment on egusphere-2025-318', Anonymous Referee #1, 24 Feb 2025
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The manuscript provides a dynamic implementation of surface reflectances using a modeling framework to apply to biodiversity questions. The approach is described well, including with references to documented code environments. The description is fairly technical, following more as an operators guide for the model, but this is balanced toward the end with descriptions for model performance.
Two minor comments. First, there is no mention of bidirectional reflectance calculations other than a quick mention of solar angles. How would this modeling approach handle view angles to more appropriately integrate with remote sensing observations, and how would BRDF be estimated or what limitations are there. Second, it wasn't clear to me whether the modeling approach for estimating reflectances/emissivities can handle mixed species/PFTs and how the mixing is carried out.
Also, please see similar approach in development (no need to cite) -> https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022JG006935
Citation: https://doi.org/10.5194/egusphere-2025-318-RC1 -
CEC1: 'Comment on egusphere-2025-318 - No compliance with the policy of the journal', Juan Antonio Añel, 05 Mar 2025
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Dear authors,
Unfortunately, after checking your manuscript, it has come to our attention that it does not comply with our "Code and Data Policy".
https://www.geoscientific-model-development.net/policies/code_and_data_policy.html
You have archived your code on GitHub. However, GitHub is not a suitable repository for scientific publication. GitHub itself instructs authors to use other long-term archival and publishing alternatives, such as Zenodo. Therefore, the current situation with your manuscript is irregular. Please, publish your code in one of the appropriate repositories and reply to this comment with the relevant information (link and a permanent identifier for it (e.g. DOI)) as soon as possible, as we can not accept manuscripts in Discussions that do not comply with our policy.In this way, if you do not fix this problem, we will have to reject your manuscript for publication in our journal.
Also, you must include a modified 'Code Availability' section in a potentially reviewed manuscript, containing the link and DOI of the new repositories.
Juan A. Añel
Geosci. Model Dev. Executive EditorCitation: https://doi.org/10.5194/egusphere-2025-318-CEC1 -
AC1: 'Reply on CEC1', Javier Pacheco-Labrador, 05 Mar 2025
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Dear Editor,
Thanks for the warning. I was not aware of this. A release of the code has been published in Zenodo under DOI: https://doi.org/10.5281/zenodo.14973471 . The DOI will be included in the manuscript during the review.
On behalf of the co-authors,
Javier Pacheco-Labrador
Citation: https://doi.org/10.5194/egusphere-2025-318-AC1
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AC1: 'Reply on CEC1', Javier Pacheco-Labrador, 05 Mar 2025
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Data sets
The Biodiversity Observing System Simulation Experiment (BOSSE v1.0) ERA5Land Meteorological time series Javier Pacheco-Labrador, Ulirch Webber, Ulisse Gomarasca, Daniel E. Pabon-Moreno, Wantong Li, Mirco Migliavacca, Martin Jung, and Gregory Duveiller https://doi.org/10.5281/zenodo.14717038
Model code and software
pyBOSSE Javier Pacheco-Labrador https://github.com/JavierPachecoLabrador/pyBOSSE
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