Forest canopy height variation in relation to topography and forest types in central Japan with LiDAR

Rahman, Md. Farhadur; Onoda, Yusuke; Kitajima, Kaoru

doi:10.1016/j.foreco.2021.119792

Cited by 15 publications

(9 citation statements)

References 54 publications

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“…These results depict a negative trend between maximum canopy height and higher elevation gradients after a breaking point at approximately ~500 m (Figures 5b and S8). This trend and the negative association have been reported in many studies in tropical regions as well as in different forest biomes [14,15,57,65]. Elevation controls atmospheric pressure, temperature, cloudiness and many environmental changes tied to altitude such as drain, sunshine exposure, wind, soil and human land use [66][67][68].…”

Section: Topographic Variablesmentioning

confidence: 67%

“…In this study, we made use of three ML fitted models to gain insights into the strength of the functional relationships between canopy height and chosen variables and their relative importance [14,15,40,47,56]. The relatively significant and consistent values for R 2 yielded from the three fitted models (Figure 3a) indicated strong relationships between forest heights and the studied variables.…”

Section: Canopy Height Relationship With Climatic and Topographic Var...mentioning

confidence: 98%

“…Among the several factors that influence canopy height, various studies have found the hydraulic limitation hypothesis (water availability) and the energy limitation hypothesis (energy in the form of solar radiation or temperature) to be pivotal [6,[8][9][10][11]. At large spatial scales, climatic attributes along with historical conditions have been found to mediate canopy height, whereas at fine scale, it is the site-specific parameters such as topographical variables (elevation, slope, curvature, aspect), soil parameters and local environmental conditions which drive canopy height [12][13][14][15]. These parameters may in turn aggregate with other abiotic factors to influence canopy height.…”

Section: Introductionmentioning

confidence: 99%

“…Their findings reveal that the influence of environmental drivers on canopy height is scale-dependent, with tree height being strongly associated with climatic parameters at coarse scale and topographical and soil variables at finer spatial scales. Additionally, Rahman et al [15] used ALS data to explore how canopy height varies with topographical features and neighborhood conditions at landscape level over an area of 230 km 2 in central Japan. At a global scale, [12,13,19] have studied the associations between canopy height and its determinants.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR

et al. 2022

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Canopy height is a fundamental parameter for determining forest ecosystem functions such as biodiversity and above-ground biomass. Previous studies examining the underlying patterns of the complex relationship between canopy height and its environmental and climatic determinants suffered from the scarcity of accurate canopy height measurements at large scales. NASA’s mission, the Global Ecosystem Dynamic Investigation (GEDI), has provided sampled observations of the forest vertical structure at near global scale since late 2018. The availability of such unprecedented measurements allows for examining the vertical structure of vegetation spatially and temporally. Herein, we explore the most influential climatic and environmental drivers of the canopy height in tropical forests. We examined different resampling resolutions of GEDI-based canopy height to approximate maximum canopy height over tropical forests across all of Malaysia. Moreover, we attempted to interpret the dynamics underlining the bivariate and multivariate relationships between canopy height and its climatic and topographic predictors including world climate data and topographic data. The approaches to analyzing these interactions included machine learning algorithms, namely, generalized linear regression, random forest and extreme gradient boosting with tree and Dart implementations. Water availability, represented as the difference between precipitation and potential evapotranspiration, annual mean temperature and elevation gradients were found to be the most influential determinants of canopy height in Malaysia’s tropical forest landscape. The patterns observed are in line with the reported global patterns and support the hydraulic limitation hypothesis and the previously reported negative trend for excessive water supply. Nevertheless, different breaking points for excessive water supply and elevation were identified in this study, and the canopy height relationship with water availability observed to be less significant for the mountainous forest on altitudes higher than 1000 m. This study provides insights into the influential factors of tree height and helps with better comprehending the variation in canopy height in tropical forests based on GEDI measurements, thereby supporting the development and interpretation of ecosystem modeling, forest management practices and monitoring forest response to climatic changes in montane forests.

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Section: Topographic Variablesmentioning

confidence: 67%

Section: Canopy Height Relationship With Climatic and Topographic Var...mentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR

et al. 2022

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show abstract

“…However, the same short-rotation crop decreases its resistance when heavy intensity-low thinning is applied lately. The results showed decreased horizontal canopy heterogeneity by lowering the incidence of storm-related canopy gaps (Rahman et al, 2022). In contrast, resistance to snow is increased by heavy intensity-low thinning applied at an early age.…”

Section: Resultsmentioning

confidence: 99%

Exploring the Impact of Thinning Operations on Forest Ecosystems in Tropical and Temperate Regions Worldwide: A Comprehensive Review

Rajeev,

Kumar,

Prasad

et al. 2023

Journal of Resources and Ecology

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Optimizing spectral index to estimate the relative chlorophyll content of the forest under the damage of Erannis jacobsoni Djak in Mongolia

Huang

Yin

et al. 2023

Ecological Indicators

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Forest canopy height variation in relation to topography and forest types in central Japan with LiDAR

Cited by 15 publications

References 54 publications

Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR

Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR

Exploring the Impact of Thinning Operations on Forest Ecosystems in Tropical and Temperate Regions Worldwide: A Comprehensive Review

Optimizing spectral index to estimate the relative chlorophyll content of the forest under the damage of Erannis jacobsoni Djak in Mongolia

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