Assessing macroinvertebrate species composition in forest
streams using LiDAR-based vegetation structure variables

J 2025

Assessing macroinvertebrate species composition in forest streams using LiDAR-based vegetation structure variables

PETRUŽELOVÁ, Jana; Simon KÖNIG; Marco HEURICH; Jiří KOPÁČEK; Selma DE DONNOVÁ et al.

Základní údaje

Originální název

Assessing macroinvertebrate species composition in forest streams using LiDAR-based vegetation structure variables

Autoři

PETRUŽELOVÁ, Jana; Simon KÖNIG; Marco HEURICH; Jiří KOPÁČEK; Selma DE DONNOVÁ; Vendula POLÁŠKOVÁ; Linda SEIFERT; Vanda ŠORFOVÁ; Pavel SROKA; Michal STRAKA a Jindřiška BOJKOVÁ

Vydání

Ecological Indicators, Elsevier B.V. 2025, 1470-160X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10618 Ecology

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 7.400 v roce 2024

Označené pro přenos do RIV

Ano

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

Aquatic invertebrates; Bohemian forest; Forest dieback; Forest structure; Land cover; Laser detection

Štítky

14314020, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 18. 1. 2026 16:52, Mgr. Lucie Jarošová, DiS.

Anotace

V originále

The structure of terrestrial vegetation plays a crucial role in shaping stream habitats and macroinvertebrate communities. While previous studies examined the effects of catchment land-cover descriptors (usually coarse resolution) and riparian buffer characteristics (on-ground measures) on aquatic ecosystems, the potential of high-resolution LiDAR-derived vegetation variables remains largely unexplored. This study investigates the potential application of LiDAR-based forest structure metrics for assessing macroinvertebrate communities in two mountain catchments in the core zones of two national parks in the Bohemian Forest Ecosystem. We analysed macroinvertebrate assemblages alongside in-stream environmental variables and LiDAR-derived parameters describing forest structure and land cover at three spatial scales: small (100 m buffer), medium (500 m buffer), and catchment-wide. Our results demonstrate significant effects of LiDAR variables on macroinvertebrate species composition, shaped by forest structure, the extent of non-forest biotopes, and forest disturbance history. Key predictors were the deciduous/coniferous cover, amount of deadwood, and living tree height and biomass, which were linked to in-stream habitat characteristics and water chemistry, but also showed some effects independent of in-stream variables. At smaller scales, LiDAR variables were primarily linked to in-stream habitat structure (organic debris, wood) and concentrations of dissolved organic carbon and phosphorus, whereas at the catchment scale, they were more closely associated with water chemistry (acidity, nutrients and ions concentrations). These findings highlight the utility of LiDAR data for stream assessment, offering a novel approach to understanding stream-catchment interactions in forested landscapes. By integrating remote sensing with traditional ecological monitoring, our study underscores the importance of multi-scale habitat assessments in assessing macroinvertebrate community structure and stream ecosystem dynamics.

Návaznosti

GA23-05268S, projekt VaV

Název: Souvislost mezi oteplováním klimatu a rostoucí druhovou bohatostí bezobratlých v tekoucích vodách: od historických dat po experimenty

Investor: Grantová agentura ČR, Souvislost mezi oteplováním klimatu a rostoucí druhovou bohatostí bezobratlých v tekoucích vodách: od historických dat po experimenty

Citovat

PETRUŽELOVÁ, Jana; Simon KÖNIG; Marco HEURICH; Jiří KOPÁČEK; Selma DE DONNOVÁ; Vendula POLÁŠKOVÁ; Linda SEIFERT; Vanda ŠORFOVÁ; Pavel SROKA; Michal STRAKA a Jindřiška BOJKOVÁ. Assessing macroinvertebrate species composition in forest streams using LiDAR-based vegetation structure variables. Ecological Indicators. Elsevier B.V., 2025, roč. 178, September, s. 1-15. ISSN 1470-160X. Dostupné z: https://doi.org/10.1016/j.ecolind.2025.114088.

@article{2521541,
   author = {Petruželová, Jana and König, Simon and Heurich, Marco and Kopáček, Jiří and de Donnová, Selma and Polášková, Vendula and Seifert, Linda and Šorfová, Vanda and Sroka, Pavel and Straka, Michal and Bojková, Jindřiška},
   article_number = {September},
   doi = {https://doi.org/10.1016/j.ecolind.2025.114088},
   keywords = {Aquatic invertebrates; Bohemian forest; Forest dieback; Forest structure; Land cover; Laser detection},
   language = {eng},
   issn = {1470-160X},
   journal = {Ecological Indicators},
   title = {Assessing macroinvertebrate species composition in forest streams using LiDAR-based vegetation structure variables},
   url = {https://doi.org/10.1016/j.ecolind.2025.114088},
   volume = {178},
   year = {2025}
}

TY  - JOUR
ID  - 2521541
AU  - Petruželová, Jana - König, Simon - Heurich, Marco - Kopáček, Jiří - de Donnová, Selma - Polášková, Vendula - Seifert, Linda - Šorfová, Vanda - Sroka, Pavel - Straka, Michal - Bojková, Jindřiška
PY  - 2025
TI  - Assessing macroinvertebrate species composition in forest streams using LiDAR-based vegetation structure variables
JF  - Ecological Indicators
VL  - 178
IS  - September
SP  - 1-15
EP  - 1-15
PB  - Elsevier B.V.
SN  - 1470160X
KW  - Aquatic invertebrates
KW  - Bohemian forest
KW  - Forest dieback
KW  - Forest structure
KW  - Land cover
KW  - Laser detection
UR  - https://doi.org/10.1016/j.ecolind.2025.114088
N2  - The structure of terrestrial vegetation plays a crucial role in shaping stream habitats and macroinvertebrate communities. While previous studies examined the effects of catchment land-cover descriptors (usually coarse resolution) and riparian buffer characteristics (on-ground measures) on aquatic ecosystems, the potential of high-resolution LiDAR-derived vegetation variables remains largely unexplored. This study investigates the potential application of LiDAR-based forest structure metrics for assessing macroinvertebrate communities in two mountain catchments in the core zones of two national parks in the Bohemian Forest Ecosystem. We analysed macroinvertebrate assemblages alongside in-stream environmental variables and LiDAR-derived parameters describing forest structure and land cover at three spatial scales: small (100 m buffer), medium (500 m buffer), and catchment-wide. Our results demonstrate significant effects of LiDAR variables on macroinvertebrate species composition, shaped by forest structure, the extent of non-forest biotopes, and forest disturbance history. Key predictors were the deciduous/coniferous cover, amount of deadwood, and living tree height and biomass, which were linked to in-stream habitat characteristics and water chemistry, but also showed some effects independent of in-stream variables. At smaller scales, LiDAR variables were primarily linked to in-stream habitat structure (organic debris, wood) and concentrations of dissolved organic carbon and phosphorus, whereas at the catchment scale, they were more closely associated with water chemistry (acidity, nutrients and ions concentrations). These findings highlight the utility of LiDAR data for stream assessment, offering a novel approach to understanding stream-catchment interactions in forested landscapes. By integrating remote sensing with traditional ecological monitoring, our study underscores the importance of multi-scale habitat assessments in assessing macroinvertebrate community structure and stream ecosystem dynamics.
ER  -

PETRUŽELOVÁ, Jana; Simon KÖNIG; Marco HEURICH; Jiří KOPÁČEK; Selma DE DONNOVÁ; Vendula POLÁŠKOVÁ; Linda SEIFERT; Vanda ŠORFOVÁ; Pavel SROKA; Michal STRAKA a Jindřiška BOJKOVÁ. Assessing macroinvertebrate species composition in forest streams using LiDAR-based vegetation structure variables. \textit{Ecological Indicators}. Elsevier B.V., 2025, roč.~178, September, s.~1-15. ISSN~1470-160X. Dostupné z: https://doi.org/10.1016/j.ecolind.2025.114088.

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