Elements of the Technology of Reproduction of Robinia Pseudoacacia L. for Protective Afforestation under Conditions of Land Degradation and Desertification

Kryuchkov, S. N.; Solonkin, A. V.; Solomentseva, A.S.; Zholobova, O. O.

doi:10.1134/s2079096123010055

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…In order to further increase China's forest coverage and develop ecological culture, it is necessary to carry out large-scale afforestation projects [4][5][6][7][8]. However, the planting of seedlings in barren and sandy land is mainly done manually at present, and the planting and cultivation work is limited by complex and changeable severe weather conditions, resulting in low planting efficiency.…”

Section: Introductionmentioning

confidence: 99%

Design of desertification afforestation robot

Wu,

Ye,

Xiao

et al. 2024

Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024)

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In order to further improve China's forest coverage, develop ecological culture, cope with adverse weather conditions, mechanized afforestation has become the only way to achieve China's ecological civilization. This study uses the concept of small and medium-sized robots to design an intelligent tree planting robot based on Robot Operating System (ROS), which is suitable for complex terrain such as sand and stone wasteland and abandoned mines. The robot has the function of independent mapping, path planning and navigation, and can automatically complete the tree planting work in the two-dimensional plane. The overall structure of this robot consists of three parts: walking mechanism, seedling storage mechanism, and actuating mechanism. It is mainly used for ecological restoration of barren land. It has a high degree of functional integration and operation automation, and realizes the planting of arbor ecological restoration forest seedlings (such as Hongsenhuai) under the "man machine" collaborative mode.

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Section: Introductionmentioning

confidence: 99%

Design of desertification afforestation robot

Wu,

Ye,

Xiao

et al. 2024

Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024)

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“…Unsustainable land use practices can lead to multiple negative impacts, including reduction in soil fertility and productivity, soil degradation and desertification, water pollution, loss of biodiversity and habitat, increased risk of natural disasters, and negative impacts on food security and human health. It is important to implement sustainable land management practices to mitigate these adverse effects and ensure a healthy and sustainable environment for current and future generations [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Soil Erosion Status Prediction Using a Novel Random Forest Model Optimized by Random Search Method

et al. 2023

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Soil erosion, the degradation of the earth’s surface through the removal of soil particles, occurs in three phases: dislocation, transport, and deposition. Factors such as soil type, assembly, infiltration, and land cover influence the velocity of soil erosion. Soil erosion can result in soil loss in some areas and soil deposition in others. In this paper, we proposed the Random Search-Random Forest (RS-RF) model, which combines random search optimization with the Random Forest algorithm, for soil erosion prediction. This model helps to better understand and predict soil erosion dynamics, supporting informed decisions for soil conservation and land management practices. This study utilized a dataset comprising 236 instances with 11 features. The target feature’s class label indicates erosion (1) or non-erosion (−1). To assess the effectiveness of the classification techniques employed, six evaluation metrics, including accuracy, Matthews Correlation Coefficient (MCC), F1-score, precision, recall, and Area Under the Receiver Operating Characteristic Curve (AUC), were computed. The experimental findings illustrated that the RS-RF model achieved the best outcomes when compared with other machine learning techniques and previous studies using the same dataset with an accuracy rate of 97.4%.

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Distribution of Robinia pseudoacacia pests in the south of the Russian Far East

Kolyada

2024

Sib. vestn. s-h. nauki

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In recent years, one of the problems associated with introduced woody plant species has been the invasion of pests and diseases into their secondary habitats. Such an invader in Russia, including the Far East, is Robinia pseudoacacia L. In order to assess the distribution of pests of this species in the south of the Far East and to evaluate the damage caused by them, monitoring of plantations in populated areas of the region is necessary. The article provides data on the distribution of pests R. pseudoacacia – Euura tibialis (Newmann, 1837) (Hymenoptera: Tenthredinidae), Obolodiplosis robiniae (Hald.,1847) (Diptera: Cecidomyiidae) in the Primorsky Territory. Studies of the R. pseudoacacia plantings show that E. tibialis occurs in 9 of 24 localities. On each plant specimen, approximately 2–3%, in some cases up to 4%, of the leaf plates were damaged to a greater or lesser extent. The northernmost point of the pest distribution is the town of Luchegorsk, the southern point is the Slavyanka settlement. The most affected are the city of Ussuriysk and the village Sinij Gay. A pest such as O. robiniae is found in all the 24 surveyed settlements. The northernmost point of its distribution is the city of Luchegorsk, the southernmost point is the Hassan settlement. The most affected by this pest is the town of Artem, the town of Bolshoi Kamen, Khorol settlement, Tavrichanka village. Further monitoring of R. pseudoacacia plantations in the Primorsky Territory is necessary in order to determine the distribution of its pests and assess the damage they cause.

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Elements of the Technology of Reproduction of Robinia Pseudoacacia L. for Protective Afforestation under Conditions of Land Degradation and Desertification

Cited by 3 publications

References 16 publications

Design of desertification afforestation robot

Design of desertification afforestation robot

Soil Erosion Status Prediction Using a Novel Random Forest Model Optimized by Random Search Method

Distribution of Robinia pseudoacacia pests in the south of the Russian Far East

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