Machine Learning Model for Revealing the Characteristics of Soil Nutrients and Aboveground Biomass of Northeast Forest, China

Chunyan Wu,Lifeng Pang,Yuanjun Yang,Jun Jiang,Miaoying An

doi:10.46488/nept.2020.v19i02.005

Abstract

Machine Learning Model for Revealing the Characteristics of Soil Nutrients and Aboveground Biomass of Northeast Forest, China

Highlights

Global climate change influences the distribution (Wang et al 2017) and structure of forests (Peñuelas et al 2016), the stability and balance of ecosystems (Hautier et al 2015, Kilpeläinen et al 2017), ecosystem restoration (Deng et al 2017a, Deng et al 2017b), the functional composition of trees, and biological accumulation in forests through changes in biodiversity (Van der Sande et al 2017)
aboveground biomass (AGB) is above-ground biomass of trees; adaptive neuro-fuzzy inference system (ANFIS) refer to adaptive neuro-fuzzy Ninofetere: n(ac)e AsyNstFeImSsm; GodMelD; H(b)reGfeMrsDtoHgmrooudpeml; e(cth)oAdNoNf dmatoadheal;nd(dli)nSgV; AMNmNordefeel;rsatnoda(ret)ifiGciRaNl nNeumraoldneel.twAoGrkB; SisVaMborveef-egrrsotuond support vector machine; GRNN refers to generalized regression neural networks
Refers to artificial neural network; SVM refers to support vector machine; GRNN refers to generalized regression neural networks

Summary

Introduction

Global climate change influences the distribution (Wang et al 2017) and structure of forests (Peñuelas et al 2016), the stability and balance of ecosystems (Hautier et al 2015, Kilpeläinen et al 2017), ecosystem restoration (Deng et al 2017a, Deng et al 2017b), the functional composition of trees, and biological accumulation in forests through changes in biodiversity (Van der Sande et al 2017). While, seed germination, seedling establishment, growth and reproduction during tree recruitment (Kulmatiski et al 2008, Collin et al 2018, Wang et al 2018), the composition, development, spatial patterns, and geographical distribution of species (Schulz & Glaser 2012, Lu et al 2017), community biomass and succession, and ecosystem stability are mainly affected by soil nutrients (Andrew et al 2014, Laliberté et al 2017). Most researches of soil nutrition have focused on the effects of alkaline nitrogen, available phosphorus, available potassium, and water content on plant growth and distribution (Mackay et al 2017, Netzer et al 2017) They have determined that soil nutrient availability of nitrogen, phosphorus, and potassium strongly affect the ecosystem community structure (Sardans et al 2017, Waldrop et al 2017). All of them have a significant correlation with species diversity of the forest (Lal et al 2017)

Objectives

Methods

Findings

Discussion

Conclusion