Stand Structural Characteristics Derived from Combined TLS and Landsat Data Support Predictions of Mushroom Yields in Mediterranean Forest
Forest fungi provide recreational and economic services, as well as ecosystem biodiversity. Wild mushroom yields are difficult to estimate; climatic conditions are known to trigger temporally localised yields, and forest structure also affects productivity. In this work, we analyse the capacity of r...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/19/5025 |
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| author | Raquel Martínez-Rodrigo Cristina Gómez Astor Toraño-Caicoya Luke Bohnhorst Enno Uhl Beatriz Águeda |
| author_facet | Raquel Martínez-Rodrigo Cristina Gómez Astor Toraño-Caicoya Luke Bohnhorst Enno Uhl Beatriz Águeda |
| author_sort | Raquel Martínez-Rodrigo |
| collection | DOAJ |
| description | Forest fungi provide recreational and economic services, as well as ecosystem biodiversity. Wild mushroom yields are difficult to estimate; climatic conditions are known to trigger temporally localised yields, and forest structure also affects productivity. In this work, we analyse the capacity of remotely sensed variables to estimate wild mushroom biomass production in Mediterranean <i>Pinus pinaster</i> forests in Soria (Spain) using generalised additive mixed models (GAMMs). In addition to climate variables, multitemporal NDVI derived from Landsat data, as well as structural variables measured with mobile Terrestrial Laser Scanner (TLS), are considered. Models are built for all mushroom species as a single pool and for <i>Lactarius deliciosus</i> individually. Our results show that, in addition to autumn precipitation, the interaction of multitemporal NDVI and vegetation biomass are most explanatory of mushroom productivity in the models. When analysing the productivity models of <i>Lactarius deliciosus</i>, in addition to the interaction between canopy cover and autumn minimum temperature, basal area (BA) becomes relevant, indicating an optimal BA range for the development of this species. These findings contribute to the improvement of knowledge about wild mushroom productivity, helping to meet Goal 15 of the 2030 UN Agenda. |
| first_indexed | 2024-03-09T21:12:44Z |
| format | Article |
| id | doaj.art-23e520c000d545e186a6c4ee7e11e6df |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T21:12:44Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-23e520c000d545e186a6c4ee7e11e6df2023-11-23T21:42:40ZengMDPI AGRemote Sensing2072-42922022-10-011419502510.3390/rs14195025Stand Structural Characteristics Derived from Combined TLS and Landsat Data Support Predictions of Mushroom Yields in Mediterranean ForestRaquel Martínez-Rodrigo0Cristina Gómez1Astor Toraño-Caicoya2Luke Bohnhorst3Enno Uhl4Beatriz Águeda5Föra Forest Technologies, Campus Duques de Soria, E-42004 Soria, SpainiuFOR-EiFAB, Campus Duques de Soria, Universidad de Valladolid, E-42004 Soria, SpainChair of Forest Growth and Yield Science, TUM School of Live Sciences Weihenstephan, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, GermanyChair of Forest Growth and Yield Science, TUM School of Live Sciences Weihenstephan, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, GermanyChair of Forest Growth and Yield Science, TUM School of Live Sciences Weihenstephan, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, GermanyFöra Forest Technologies, Campus Duques de Soria, E-42004 Soria, SpainForest fungi provide recreational and economic services, as well as ecosystem biodiversity. Wild mushroom yields are difficult to estimate; climatic conditions are known to trigger temporally localised yields, and forest structure also affects productivity. In this work, we analyse the capacity of remotely sensed variables to estimate wild mushroom biomass production in Mediterranean <i>Pinus pinaster</i> forests in Soria (Spain) using generalised additive mixed models (GAMMs). In addition to climate variables, multitemporal NDVI derived from Landsat data, as well as structural variables measured with mobile Terrestrial Laser Scanner (TLS), are considered. Models are built for all mushroom species as a single pool and for <i>Lactarius deliciosus</i> individually. Our results show that, in addition to autumn precipitation, the interaction of multitemporal NDVI and vegetation biomass are most explanatory of mushroom productivity in the models. When analysing the productivity models of <i>Lactarius deliciosus</i>, in addition to the interaction between canopy cover and autumn minimum temperature, basal area (BA) becomes relevant, indicating an optimal BA range for the development of this species. These findings contribute to the improvement of knowledge about wild mushroom productivity, helping to meet Goal 15 of the 2030 UN Agenda.https://www.mdpi.com/2072-4292/14/19/5025mushroom yields<i>Lactarius deliciosus</i>TLSNDVIgeneralised additive mixed modelMediterranean forests |
| spellingShingle | Raquel Martínez-Rodrigo Cristina Gómez Astor Toraño-Caicoya Luke Bohnhorst Enno Uhl Beatriz Águeda Stand Structural Characteristics Derived from Combined TLS and Landsat Data Support Predictions of Mushroom Yields in Mediterranean Forest Remote Sensing mushroom yields <i>Lactarius deliciosus</i> TLS NDVI generalised additive mixed model Mediterranean forests |
| title | Stand Structural Characteristics Derived from Combined TLS and Landsat Data Support Predictions of Mushroom Yields in Mediterranean Forest |
| title_full | Stand Structural Characteristics Derived from Combined TLS and Landsat Data Support Predictions of Mushroom Yields in Mediterranean Forest |
| title_fullStr | Stand Structural Characteristics Derived from Combined TLS and Landsat Data Support Predictions of Mushroom Yields in Mediterranean Forest |
| title_full_unstemmed | Stand Structural Characteristics Derived from Combined TLS and Landsat Data Support Predictions of Mushroom Yields in Mediterranean Forest |
| title_short | Stand Structural Characteristics Derived from Combined TLS and Landsat Data Support Predictions of Mushroom Yields in Mediterranean Forest |
| title_sort | stand structural characteristics derived from combined tls and landsat data support predictions of mushroom yields in mediterranean forest |
| topic | mushroom yields <i>Lactarius deliciosus</i> TLS NDVI generalised additive mixed model Mediterranean forests |
| url | https://www.mdpi.com/2072-4292/14/19/5025 |
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