Annals of Forest Science最新文献

Key Message

We present data from a new delimited 1-ha forest plot on the Sierra Nevada de Santa Marta in Colombia and describe its tree diversity, composition, and structure. This data can be used in regional analyses and help to refine remote sensing models. Future censuses will provide data on the demographics of rare, endangered, and endemic trees that can be used for their conservation. Dataset access is at https://doi.org/10.15472/ftwol2. Associated metadata are available at https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/a4a7855f-4cb2-459b-a1a2-287bd1e6d587.

Key message

A Soil Monitoring Law to improve soil health across all land uses has been proposed by the European Commission. As forests soils have different chemical and physical properties as well as biogeochemical dynamics compared to agricultural land, they also face different challenges in maintaining and restoring soil health. Examples are soil acidification, eutrophication by atmospheric deposition, responses to climate change, and loss of biodiversity. Therefore, we propose forest soil specific health descriptors and thresholds based on experience and knowledge from existing long-term monitoring programs.

Key message

A validation convention can be established for forest management optimization models. It consists of (1) the delivery of face validation, (2) performing at least one other validation technique, and (3) an explicit discussion of how the optimization model fulfills the stated purpose. Validation by potential users or external experts is of high importance.

Context

Optimization modeling has long assisted the management of forest ecosystems, but the credibility of these models has always been debated with criticisms concerning data quality, failures to include relevant processes in the scope of models, and the inclusion of unrealistic assumptions. Validation is widely considered to be crucial to establishing the credibility of models in general, but how to validate optimization models in particular represents a permanent question generally in operations research.

Aims

We aim to synthesize practical recommendations for the development of validation frameworks in the optimization modeling for forest management.

Methods

We selected a sample of 46 studies devoted to optimization models to be applied in practice, analysed the contents with respect to validation, and provided a critical review.

Results

We (1) clarified the meaning and usage of different validation-related terms that are commonly encountered in the literature, (2) identified and categorised the various methods and frameworks that are used to demonstrate model credibility, and (3) derived organizing principles that helped to suggest improvements in validation frameworks.

Conclusions

A practical validation convention can be established and we suggest the convention to consist of three stages. By providing structured and consistent information about validation processes, researchers in forest management optimization can better demonstrate the credibility of their work to readers and potential users.

Key message

Dihydropinosylvin monomethyl ether (DPME) and pinosylvin monomethyl ether (PME) are pinosylvin derivatives that show high nematicidal activity against pine wood nematodes (PWNs). Here, we found that fungal elicitor treatment boosted the production of DPME and PME in cultured Pinus strobus L. cells and investigated the transcription factors (TFs) regulating the genes in the pinosylvin stilbenoid biosynthesis pathway.

Context

The discovery of TFs involved in the synthesis of DPME and PME provides an important clue to understanding the pinosylvin stilbenoid synthesis in pine plants.

Aims

We investigated the best fungal elicitor for the production of DPME and PME and the transcriptional activities of genes involved in PME and DPME biosynthesis in P. strobus L. cells after fungal elicitor treatment.

Methods

The content of DPME and PME in P. strobus cells was examined after treatment with fungal elicitors prepared from seven different species of fungi. Moreover, the role of fungal elicitors in the transcriptional activity of genes involved in DPME and PME biosynthesis was investigated by transcriptome analysis using RNA sequencing.

Results

Penicillium chrysogenum Thorn was the most efficient fungal elicitor for the production of DPME and PME in P. strobus cells among the other fungal species. The accumulation of DPME and PME in P. strobus cells after P. chrysogenum elicitor treatment increased 12.7-fold and 23.7-fold, respectively, compared to the control. Transcriptome analysis revealed that fungal elicitor treatment resulted in enhanced transcription of the PAL, 4CL, STS, PMT, and ACC genes, which are involved in PME and DPME biosynthesis. Some transcription factors belonging to the bHLH, MYB, WRKY, and ERF families showed a high transcription rate after fungal elicitor treatment.

Conclusions

We found that the fungal elicitor is a strong inducer of the accumulation of pinosylvin derivatives in the cells of P. strobus. We selected one unigene (c133966_g3_i1 in the MYB family) as the best candidate TF that regulates the DPME and PME biosynthesis in P. strobus by transcriptome analysis.

Key message

The dataset includes data from forest soil surveys conducted in the period 2000–2020. It provides soil and site variables from 8269 locations. Data are aggregated in three basic soil layers: upper organic soil horizon (FH, 6875 locations), upper mineral layer 0–30 cm (M03, 8051 locations) and deeper mineral soil layer 30–80 cm (M38, 2260 locations).

The dataset is available at https://doi.org/10.5281/zenodo.10608814, and access to the metadata is at https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/38f24573-3c0d-469a-a66a-7060ce082155.

Key message

The invasive pine wood nematode is a major threat to pine forests worldwide, causing extensive tree mortality. Although scientific knowledge and control measures are continuously improving, important gaps remain. We argue that some key questions, notably related to early detection and pest management, need to be urgently tackled in countries at risk of invasion such as France.

Key message

We applied the generalized algebraic difference approach (GADA) to develop dynamic models of height growth for pedunculate oak (Quercus robur L.) in Serbia. According to the dominant heights, the studied region comprises some of Europe’s most productive sites for pedunculate oak. Therein, we have generated a map showing the current site index class of stands. Such a map could be used to enhance forest management and evaluate climate change impacts.

Context

Although sustainable forest management requires reliable prediction of forest site productivity, such indicators are currently unavailable for pedunculate oak sites in Serbia. The site index (SI) curves represent the most commonly used indirect scale for site productivity classification. The dynamic equations derived by the Generalized Algebraic Difference Approach (GADA) are the state-of-the-art approach in growth modeling, but they have not been widely applied for studying the height dynamics of pedunculate oak.

Aims

The main objectives of this study were to develop the first dynamic site index curves for pedunculate oak in Serbia and subsequently to provide stand-level maps with predicted site indices.

Methods

We have tested five flexible polymorphic equations with variable asymptotes derived by the GADA approach. Models were calibrated using artificially established growth trajectories obtained from 3636 detailed temporary sample plots. The selection of the most suitable model was accomplished according to (1) quantitative measures of goodness of fit, (2) the analysis of residual scattering, and (3) the biological plausibility of obtained height growth curves.

Results

After correcting the error terms with a continuous first-order autoregressive structure and conducting a three-stage performance analysis, the GADA dynamic site index model derived from the Hossfeld base equation shows the best overall properties. Insight into the oscillations of relative error suggested that 100 years is the most suitable age for site index referencing. Comparison with existing height growth models revealed greater flexibility and a considerably better representation of the height growth dynamic of pedunculate oak in the studied region. Additionally, we have produced a spatially explicit map showing the expected SI₁₀₀ for 1907 stands with pedunculate oak within 22 management units.

Conclusion

Dynamic SI-curves based on GADA will serve forest practitioners to update management plans and serve as a reference point for benchmarking the impact of climate change and for developing adaptation strategies. The utilized approach allowed unbiased estimation of SI₁₀₀ across all age classes so that the resu