气候变化领域集成服务门户(CCPortal): Deciphering global patterns of forest canopy rainfall interception (FCRI): A synthesis of geographical, forest species, and methodological influences

CCPortal

DOI	10.1016/j.jenvman.2024.120879
	Deciphering global patterns of forest canopy rainfall interception (FCRI): A synthesis of geographical, forest species, and methodological influences
	de Mello, Carlos R.; Guo, Li; Yuan, Chuan; Rodrigues, Andre F.; Lima, Renato R.; Terra, Marcela C. N. S.
发表日期	2024
ISSN	0301-4797
EISSN	1095-8630
起始页码	358
卷号	358
英文摘要	Forest canopy rainfall interception (FRCI) is an essential hydrological process that governs water and biogeochemical cycles in forest ecosystems. Identifying patterns and relationships of FCRI using a systematic review is key to improving our knowledge supporting new experiment research, modeling, and application. In this meta-analysis, we aimed to delineate the canopy interception (CI), throughfall (TF), and stemflow (SF) concerning geographical and forest variables and experimental methodologies. We leveraged peer-reviewed 170 articles across 234 sites globally, extracting TF, CI, SF, geographical, forest, and experimental aspects. We applied multivariate statistical procedures to discern the principal influences on TF, CI, and SF and examined their multicollinearity. In addition, we developed Generalized Linear Models (GLM) for CI and TF. Global TF experiments indicate that the predominant rainfall devices, number of sample trees, number of events, and monitoring length are 10-20 devices (81% fixed), 3-6 trees, 30-50 events, and 10-30 months. Predominant global values of TF, CI, and SF are 70-80% (median = 73%), 20%-30% (median = 23.9%), and <1.0% (median = 1.87%), respectively. Global models of CI and TF were responsive to T, LAI, and D (respectively, R-adj(2) of 0.196 and 0.206). Temperate forests mirrored the global model (R-adj(2) of 0.274 and 0.31, respectively). The Subtropical CI model was fitted based on P and DBH (R-adj(2) = 0.245), and the TF model was based on E, D, and LAI (R-adj(2) = 0.532); the Mediterranean CI model was based on T, Basal, and LAI (R-adj(2) = 0.45), while TF was based on P, Basal, and LAI (R-adj(2) = 0.671*). The Tropical CI model was based on T and H (R-adj(2) = 0.396), and the TF model, LAI, and P (R-adj(2) = 0.35*). This meta-analysis underscores the importance of comprehending the hydrological processes in forested areas as they are pivotal in mitigating climate change impacts.
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001234859800001
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/304226
作者单位	Universidade Federal de Lavras; Sichuan University; Southwest University - China; Universidade Federal de Minas Gerais; Universidade Federal de Lavras; Universidade Federal de Sao Joao del-Rei
推荐引用方式 GB/T 7714	de Mello, Carlos R.,Guo, Li,Yuan, Chuan,et al. Deciphering global patterns of forest canopy rainfall interception (FCRI): A synthesis of geographical, forest species, and methodological influences[J],2024,358.
APA	de Mello, Carlos R.,Guo, Li,Yuan, Chuan,Rodrigues, Andre F.,Lima, Renato R.,&Terra, Marcela C. N. S..(2024).Deciphering global patterns of forest canopy rainfall interception (FCRI): A synthesis of geographical, forest species, and methodological influences.JOURNAL OF ENVIRONMENTAL MANAGEMENT,358.
MLA	de Mello, Carlos R.,et al."Deciphering global patterns of forest canopy rainfall interception (FCRI): A synthesis of geographical, forest species, and methodological influences".JOURNAL OF ENVIRONMENTAL MANAGEMENT 358(2024).