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

被引:9
|
作者
Adrah, Esmaeel [1 ]
Wan Mohd Jaafar, Wan Shafrina [1 ,2 ]
Omar, Hamdan [3 ]
Bajaj, Shaurya [4 ]
Leite, Rodrigo Vieira [5 ]
Mazlan, Siti Munirah [1 ]
Silva, Carlos Alberto [6 ]
Chel Gee Ooi, Maggie [1 ]
Mohd Said, Mohd Nizam [1 ]
Abdul Maulud, Khairul Nizam [2 ,7 ]
Cardil, Adrian [8 ,9 ]
Mohan, Midhun [4 ,10 ]
机构
[1] Univ Kebangsaan Malaysia, Inst Climate Change, Bangi 43600, Malaysia
[2] Univ Kebangsaan Malaysia, Inst Climate Change, Earth Observat Ctr, Bangi 43600, Malaysia
[3] Forest Res Inst Malaysia, Kepong 52019, Malaysia
[4] Morobe Dev Fdn, United Nations Volunteering Program, Lae 00411, Papua N Guinea
[5] Univ Fed Vicosa, Dept Forest Engn, BR-36570900 Vicosa, MG, Brazil
[6] Univ Florida, Sch Forest Resources & Conservat, Forest Biometr Remote Sensing & Artificial Intell, SilvaLab, Gainesville, FL 32611 USA
[7] Univ Kebangsaan Malaysia, Dept Civil Engn, Fac Engn & Built Environm, Bangi 43600, Malaysia
[8] Technosylva Inc, San Diego, CA 92108 USA
[9] Joint Res Unit CTFC AGROTECNIO CERCA, Solsona 25280, Spain
[10] Univ Calif Berkeley, Dept Geog, Berkeley, CA 94709 USA
关键词
GEDI; LiDAR; canopy height; mountain forest; forest remote sensing; GLOBAL PATTERNS; CLIMATE; TREE; DETERMINANTS; GROWTH; LIMITS;
D O I
10.3390/rs14133172
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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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页数:21
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