Key Technologies of Forest Resource Examination System Development in China

Zhao, Xiuli; Zhong-ke, Feng; Zhou, Yangyang; Lin, Yi‐Cheng

doi:10.1016/j.eng.2019.07.022

Cited by 9 publications

(9 citation statements)

References 8 publications

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“…V max × ∆t < L g (11) How to use the trajectory obtained by the HYSPLIT model to determine the SBA? In this study, Using ArcGIS to divide appropriate fishing nets and count the frequency of trajectories in grid i.…”

Section: Mechanism and Model Of Es Radiation Sand-stabilization Servi...mentioning

confidence: 99%

“…Although there are many studies on ES [5][6][7][8][9][10][11], these studies lack an in-depth ecological understanding of most of the ES. The ecological information they provide as a basis for decision-making is still limited [12], especially in the cross-regional ecological compensation (EC) which is similar to Payment for Ecosystem Services.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Ecosystem Services Radiation Assessment of the National Ecological Sheltering Zone in China

Jiang

2023

Forests

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Ecosystem services (ES) have been shrinking due to unreasonable development and utilization for a long time. There are many studies on ES, but the ecological information for policymakers is still complex and obscure. To address this critical omission, based on remote sensing data, combined with meteorological data, land use data, and administrative division data, using GIS spatial analysis technology and some ecological process models, we develop an ecosystem services radiation assessment framework (ESRAF) that can provide policymakers with concise and reliable ecological information. We illustrate the measurement of ESRAF through an application to specific regions of China’s national ecological sheltering zone (NESZ), showing that the approach can effectively identify the beneficiary areas (SBA) for sand-stabilization service, soil conservation service, and water conservation service, and the degree of sharing of ES of SBA. ES produced by ecosystems in a specific region not only generates huge benefits locally but also a large number of ES benefit surrounding regions through cross-regional transmission. Specifically, in 2015, the area benefiting from sand-stabilization service provided by the Ordos’s ecosystem is about 1.66×106 km2, the amount of dust reduction in SBA would reduce by 28,738.67×104 tons. The Loess Plateau Ecological Screen (LPES) provides critical soil conservation service, the SBA of LPES includes two parts: LPES and the Yellow River. The Northeast Forest Belt (NFB) provides vital water conservation services. The water conservation service beneficiary area is mainly located near the NFB, with 266 hydrological response units, covering an area of 8.982×104 km2. This study also showed that the transmission distance is inversely proportional to the radiation effect, that is, the benefit level decreases with the distance from SPA. According to the degree of sharing of ES of SBA, the proposed cross-regional differentiated ecological compensation scheme is helpful to promote regional sustainable development. At the same time, this study also shows that NESZ is of great significance for ensuring China’s ecological security.

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Section: Mechanism and Model Of Es Radiation Sand-stabilization Servi...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Ecosystem Services Radiation Assessment of the National Ecological Sheltering Zone in China

Jiang

2023

Forests

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“…The inclusion of technology education is vital to adequately educate the workforce with the necessary abilities to utilize modern technologies proficiently. Training programs and educational activities have the potential to enhance the skills of foresters and conservationists in utilizing advanced technological instruments, hence facilitating the promotion of sustainable forest management, conservation efforts, and the optimization of resources [22,23]. However, it is essential to have accurate and up-to-date data on the growth and productivity of forests to make informed decisions about their management and conservation.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Technological Dynamics and Fiscal Decentralization on Forest Resource Efficiency in China: The Mediating Role of Digital Economy

Yasmeen,

Hao,

Yan

et al. 2023

Forests

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This study explores the multi-dimensional relationships between technology, fiscal decentralization, and forest resource efficiency, and the pivotal role played by the digital economy as a mediator in 2002–2020. First, this study evaluates the Chinese provinces’ forest resource efficiency using multi-dimensional inputs and outputs of forest sectors. Further, we use two sorts of technology: high-technology expenditure and forest technology education. Fiscal decentralization in terms of local government expenditure on forest resources makes the study innovative and richer in analysis. A SBM-DEA analysis showed that the Anhui, Beijing, Jiangsu, Shanghai, and Zhejiang provinces have the highest efficiency scores, implying very efficient forest resource management. Subsequently, the robust econometric estimator Driscoll and Kraay is applied. The study’s findings disclose that both dimensions of technology increase the Chinese provinces’ forest resource efficiency through technological expenditure and forest technology education. Fiscal decentralization towards forest resource management expenditure increases the efficiency of forests. Urbanization and economic development reduce the efficiency of forests. The digital economy can effectively help to improve the efficiency of forest resources. The presence of moderating effects reveals that the influence of the digital economy on forest resource efficiency is positive when it is coupled with economic development, fiscal decentralization, technology, and urbanization.

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“…The individual tree model, individual-tree, is a modeling unit that considers the stand environment and competition and is an effective tool that may Sustainability 2022, 14, 8346 2 of 15 guide long-term planning and management decisions, offering technical subsides for the sustainable development of the forest [8][9][10][11]. In field surveys, diameter at breast height (DBH) is the simplest and most easily measurable factor, and its accuracy can be effectively guaranteed during the measurement process [12,13]. Tree growth provides an effective reference for forest growth and harvesting research, and the DBH growth models are more effective in future forest forecasting [14,15].…”

Section: Introductionmentioning

confidence: 99%

Disentangling the Factors That Contribute to the Growth of Betula spp. and Cunninghami lanceolata in China Based on Machine Learning Algorithms

et al. 2022

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Forests are indispensable materials and spiritual foundations for promoting ecosystem circulation and human survival. Exploring the environmental impact mechanism on individual-tree growth is of great significance. In this study, the effects of biogeoclimate, competition, and topography on the growth of Betula spp. and Cunninghamia lanceolata (Lamb.) Hook., two tree species with high importance value in China, were explored by gradient boosting regression tree (GBRT), k-nearest neighbor (KNN), and random forest (RF) machine learning (ML) algorithms. The results showed that the accuracy of RF was better than KNN, which was better than GBRT. All ML algorithms performed well for future diameter at breast height (DBH) predictions; the Willmott’s indexes of agreement (WIA) of each ML algorithm in predicting the future DBH were all higher than 0.97, and the R2 was higher than 0.98 and 0.90, respectively. The individual tree annual growth rate is mainly affected by the single-tree size, and the external environment can promote or inhibit tree growth. Climate and stand structure variables were relatively more important for tree growth than the topographic factors. Lower temperature and precipitation, higher stand density, and canopy closure were more unfavorable for their growth. In afforestation, the following factors should be considered in order: geographic location, meteorological climate, stand structure, and topography.

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Key Technologies of Forest Resource Examination System Development in China

Cited by 9 publications

References 8 publications

Evaluation of Ecosystem Services Radiation Assessment of the National Ecological Sheltering Zone in China

Evaluation of Ecosystem Services Radiation Assessment of the National Ecological Sheltering Zone in China

The Impact of Technological Dynamics and Fiscal Decentralization on Forest Resource Efficiency in China: The Mediating Role of Digital Economy

Disentangling the Factors That Contribute to the Growth of Betula spp. and Cunninghami lanceolata in China Based on Machine Learning Algorithms

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