Trend Analysis of Coverage Variation in Pinus yunnanensis Franch. Forests under the Influence of Pests and Abiotic Factors

Liu, Mengying; Zhang, Zhonghe; Li, Mengxue; Shi, Lei

doi:10.3390/f13030412

Cited by 3 publications

(3 citation statements)

References 37 publications

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“…Of all the vegetation indices selected, NDVI is most commonly used to assess the severity of forest pests and diseases and to estimate tree mortality [31][32][33][34]. Like NDVI, PSND and REP utilize only the red and near-infrared bands.…”

Section: Discussionmentioning

confidence: 99%

Using a Vegetation Index to Monitor the Death Process of Chinese Fir Based on Hyperspectral Data

Tang,

Zang,

Lin

et al. 2023

Forests

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Chinese fir is one of the most widely distributed and extensively planted timber species in China. Therefore, monitoring pests and diseases in Chinese fir plantations is directly related to national timber forest security and forest ecological security. This study aimed to identify appropriate vegetation indices for the early monitoring of pests and diseases in Chinese fir plantations. For this purpose, the researchers used an imaging spectrometer to capture hyperspectral images of both experimental and control groups. The experimental group consisted of Chinese fir trees with two sections of bark stripped off, while the control group consisted of healthy Chinese fir trees. The study then assessed the sensitivity of 11 vegetation indices to the physiological differences between the two groups using the Mann–Whitney U test. The results showed that both the green-to-red region spectral angle index (GRRSGI) and the red edge position index (REP) were able to monitor the difference as early as 16 days after damage. However, GRRSGI performs best in monitoring early death changes in Chinese fir trees because it is less affected by noise and is more stable. The green–red spectral area index (GRSAI) also had high stability, but the monitoring effect was slightly worse than that of GRRSGI and REP. Compared with other indices, GRRSGI and GRSAI can better exploit the advantages of hyperspectral data.

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Section: Discussionmentioning

confidence: 99%

Using a Vegetation Index to Monitor the Death Process of Chinese Fir Based on Hyperspectral Data

Tang,

Zang,

Lin

et al. 2023

Forests

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“…In realty, there are many other factors that can influence the distribution of species (Ramachandran et al, 2020). For example, pests, diseases, and human activities are also important factors affecting the distribution of P. yunnanensis (Huang et al, 2022;Liu et al, 2022). Further research is needed in order to better evaluate the factors effecting the distribution of P. yunnanensis and predict the dynamic in its distribution changes.…”

Section: Discussionmentioning

confidence: 99%

Prediction of future potential distributions of Pinus yunnanensis varieties under climate change

Feng,

Wang,

Xian

et al. 2023

Front. For. Glob. Change

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Pinus yunnanensis Franch. (Pinaceae) is an important endemic tree species that serves as a critical constituent of the forest ecosystems and plays a significant role in forestry economic production in southwest China. P. yunnanensis comprises three varieties: var. yunnanensis, var. pygmaea and var. tenuifolia, with significant variation in traits, such as height and leaf size. This study aims to characterize the habitat conditions of the three varieties and predict their potential future distributions by employing MaxEnt model. Temperature seasonality (BIO4) emerged as the most influential factor affecting the distribution of var. yunnanensis; isothermally (BIO3) stands out as the most critical factor for the distribution of var. pygmaea; whereas mean annual fire occurrence (MAF) had the greatest impact on the distribution of var. tenuifolia. Under future climate conditions, the highly and moderately suitable habitats for all the three varieties are projected to decrease, while the lowly suitable habitats are projected to increase. The distribution centroids of all the three varieties are anticipated to shift to higher latitudes. Our study characterized the habitat conditions and predicted the potential future distribution of the three Pinus yunnanensis varieties, which could help the conservation and utilization of Pinus yunnanensis varieties.

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“…Also, consideration of environmental factors is of great importance in understanding the state, stability, and ecological role of forest stands [56][57][58][59][60][61][62][63]. It is especially important for protection and restoration of forest ecosystems [64][65][66] as well as in their management [67][68][69]. Accounting for the data obtained on the bioecological features of forest stands and environmental conditions are of paramount importance in managing the resource qualities of forest ecosystems, their stability and protection in forest-steppe and other landscapes.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Biological and Environmental Factors Influence on Fire Hazard in Pine Forests: A Case Study in Central Forest-Steppe of the East European Plain

Slavskiy

Litovchenko

Матвеев

et al. 2022

Land

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Vast forest areas are spreaded in Russia and perform environment-forming, nature-protective and climate-regulating functions, including carbon sequestration. At the same time, increasing of destructive forest fires scale in recent decades has led to depletion of forest resources. To combat forest fires, it is necessary to develop preventive measures to reduce the number and severity of forest fires and establish reliable evaluation criteria for fire hazard assessment in forestry. However, indices of fire hazard assessment that exist in Russia are not always allowed to determine the degree of fire hazard reliably. The studies were performed in pine forests on the territory of the Central Forest-Steppe. The key forestry factors influencing the fire hazard situation in pine stands are identified: the presence and amount of combustible materials, the state of the stand, as well as the age structure of tree stand. According to burning indices, the highest fire hazard was common for young and middle-aged pine stands, while for ripening, mature and old-growth forests, fire hazard increasing was not observed. A set of parameters that characterize soil moisture and ground cover peculiarities have also a significant impact. Forest growth conditions were shown to be an important indicator for assessment of fire hazard class. Identified factors that have a key impact on the fire hazard in forests will make it possible to improve methodological approach for monitoring and preservation of forests.

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Trend Analysis of Coverage Variation in Pinus yunnanensis Franch. Forests under the Influence of Pests and Abiotic Factors

Cited by 3 publications

References 37 publications

Using a Vegetation Index to Monitor the Death Process of Chinese Fir Based on Hyperspectral Data

Using a Vegetation Index to Monitor the Death Process of Chinese Fir Based on Hyperspectral Data

Prediction of future potential distributions of Pinus yunnanensis varieties under climate change

Assessment of Biological and Environmental Factors Influence on Fire Hazard in Pine Forests: A Case Study in Central Forest-Steppe of the East European Plain

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