干旱区生态环境知识资源中心(Arid): MIXED MODELS FOR NUTRIENTS PREDICTION IN SPECIES OF THE BRAZILIAN CAATINGA BIOME

Arid

DOI	10.1590/1806-908820230000012
	MIXED MODELS FOR NUTRIENTS PREDICTION IN SPECIES OF THE BRAZILIAN CAATINGA BIOME
	de Abreu, Jadson Coelho; da Silva, Jose Antonio Aleixo; Ferreira, Rinaldo Luiz Caraciolo; da Rocha, Samuel Jose Silva Soares; Tavares Jr, Ivaldo da Silva; Farias, Aline Araujo; Villanova, Paulo Henrique; Viana, Aguida Beatriz Travaglia; Schettini, Bruno Leao Said; Telles, Lucas Arthur de Almeida; Silva, Arthur Araujo
通讯作者	de Abreu, JC
来源期刊	REVISTA ARVORE
ISSN	0100-6762
EISSN	1806-9088
出版年	2023
卷号	47
英文摘要	- Nutrient prediction models applied to tree species from Brazilian Caatinga can be a crucial tool in understanding this biome. The study aimed to fit a mixed model to predict nitrogen (N), phosphorus (P), and potassium (K) content in tree species native to the Caatinga biome located in Floresta municipality, Pernambuco State - PE, Brazil. The following species were considered the area's most important and evaluated in the present study: Poincianella bracteosa (Tul.) L.P.Queiroz, Mimosa ophtalmocentra Mart. ex Benth, Aspidosperma pyrifolium Mart, Cnidoscolus quercifolius (Mull. Arg.) Pax. & Hoffm, and Anadenanthera colubrina var. cebil (Griseb.) Altschul. Four trees, representing the average circumference in each diameter class, were harvested for NPK quantification. The Spurr model was evaluated for NPK prediction, and species inclusion as a random effect was significant (p < 0.05) in all models. The Spurr model with fixed and random effects presented better statistics than fixed-effect models in all parameters for all nutrients. Generated NPK predicting equations can be a handy tool to understand the impact of wood extraction over Caatinga's biogeochemical cycles and guide forest management strategies in semi-arid regions of the world.
英文关键词	Caatinga Biome NPK Fixed and Random Effects
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001070848300001
WOS关键词	HEIGHT-DIAMETER MODEL ; ABOVEGROUND BIOMASS ; TREE HEIGHT ; DRY FOREST ; CARBON ; CONSERVATION ; REGRESSION ; REMOVAL ; GROWTH
WOS类目	Forestry
WOS研究方向	Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398375
推荐引用方式 GB/T 7714	de Abreu, Jadson Coelho,da Silva, Jose Antonio Aleixo,Ferreira, Rinaldo Luiz Caraciolo,et al. MIXED MODELS FOR NUTRIENTS PREDICTION IN SPECIES OF THE BRAZILIAN CAATINGA BIOME[J],2023,47.
APA	de Abreu, Jadson Coelho.,da Silva, Jose Antonio Aleixo.,Ferreira, Rinaldo Luiz Caraciolo.,da Rocha, Samuel Jose Silva Soares.,Tavares Jr, Ivaldo da Silva.,...&Silva, Arthur Araujo.(2023).MIXED MODELS FOR NUTRIENTS PREDICTION IN SPECIES OF THE BRAZILIAN CAATINGA BIOME.REVISTA ARVORE,47.
MLA	de Abreu, Jadson Coelho,et al."MIXED MODELS FOR NUTRIENTS PREDICTION IN SPECIES OF THE BRAZILIAN CAATINGA BIOME".REVISTA ARVORE 47(2023).