Long-Term Impacts of Forest Management Practices under Climate Change on Structure, Composition, and Fragmentation of the Canadian Boreal Landscape

Molina, Eliana; Valeria, Osvaldo; Martin, Maxence; Girona, Miguel Montoro; Ramirez-Correa, Jorge

doi:10.3390/f13081292

Cited by 17 publications

(7 citation statements)

References 93 publications

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“…Our results demonstrate that the data needed to initialize FLM can be collected from open sources. Many studies [14,[36][37][38][39] use the available forest inventory data (for example, national or regional cadasters), which contain detailed information about forest types, tree age, diameter, height, and disturbances. In the absence of such data, FLM initialization becomes a difficult task.…”

Section: Discussionmentioning

confidence: 99%

Forest Landscape Model Initialization with Remotely Sensed-Based Open-Source Databases in the Absence of Inventory Data

Bychkov,

Popova

2023

Forests

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Forecasts of the forest ecosystem dynamics are important for environmental protection and forest resource management. Such forecasts can support decisions about where and how to restore damaged forests and plan felling, and in forest conservation. Forest landscape models (FLM) are used to predict changes in forests at the landscape level. FLM initialization usually requires detailed tree species and age data; so, in the absence of forest inventory data, it is extremely difficult to collect initial data for FLM. In our study, we propose a method for combining data from open sources, including remote sensing data, to solve the problem of the lack of initial data and describe initializing the LANDIS-II model. We collected land cover classification and above-ground biomass products, climate, soil, and elevation data to create initial vegetation and ecoregion maps. Our method is based on some simplifications of the study object—some tree species are replaced by groups of species; the forest stand is considered homogeneous. After initialization, the natural dynamics without harvesting and disturbances were simulated by the Biomass Succession extension for 200 years. The study presents a detailed methodology that can be used to initialize other study areas and other FLMs with a lack of field data.

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Section: Discussionmentioning

confidence: 99%

Forest Landscape Model Initialization with Remotely Sensed-Based Open-Source Databases in the Absence of Inventory Data

Bychkov,

Popova

2023

Forests

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“…This transplantation method avoids damage to the seedling roots, shortens the seedling recovery period, and promotes the formation of tillers. Regeneration is an essential and complex process in forest dynamics [26][27][28], and this rule also applies to rice. The new branches and leaves produced by tillering can increase the photosynthetic area of rice and improve photosynthetic efficiency, thus increasing rice yield.…”

Section: Experimental Design 221 Experimental Methods (1) Biomass See...mentioning

confidence: 99%

Proportion and Performance Optimization of Biomass Seedling Trays Based on Response Surface Analysis

Li,

Wang,

Sun

et al. 2024

Sustainability

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Nursery trays are essential agricultural tools in rice production. Plastic nursery trays pose problems such as resource waste and environmental pollution. Biomass seedling trays are an effective way to achieve sustainable agricultural development. Previous research has been conducted on biomass seedling tray molding equipment and molding process, but the impact of raw material ratio on seedling tray molding quality and seedling growth is still unclear, and the ratio combination still needs further optimization. In this study, we used slurry concentration, pulp content, adhesive content, and the ratio of straw to cow manure as variables. We selected the bowl hole molding rate and the strong seedling index as evaluation indicators, and carried out biomass seedling tray forming experiments and seedling cultivation experiments. The response surface analysis method was used to optimize the raw material ratio of biomass seedling trays from the perspectives of forming effect and seedling quality. The results show that when the slurry concentration is 30%, the pulp content is 20%, the adhesive content is 530 g, and the mass ratio of straw to cow manure is 2:1; the bowl hole molding rate is 91.03%, and the strong seedling index is 0.22, indicating good molding effect and seedling growth. The verification test results indicate that the theoretical analysis results are accurate, and the model fitting is good. These research results provide a theoretical basis for the preparation of biomass seedling trays and technical support for achieving green development in agriculture.

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“…Forest ecosystems play a central role in the global carbon cycle ( Teets et al., 2018 ; Ameray et al., 2021 ), climate regulation ( García-Valdés et al., 2020 ) and other ecological services ( Kumar et al., 2008 ). Global climate change may have important impacts on forest productivity, biomass and phenological periods ( Hof et al., 2021 ; Guo et al., 2022 ; Molina et al., 2022 ). Climate factors are important drivers of forest productivity, and future climate change may lead to a decline ( Sabatia and Burkhart, 2014 ; Debaly et al., 2022 ) or an increase ( Chen et al., 2020 ) in forest productivity.…”

Section: Introductionmentioning

confidence: 99%

Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios

et al. 2023

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Larix principis-rupprechtii Mayr (larch) is one of the main afforestation and timber production species used in North China. Climate change has led to a change in its suitable distribution and growth. However, the impact of climate change on its growth suitability is not clear. In this study, using forest resource inventory data and spatially continuous environmental factor data (temperature, precipitation, topography, and soil) in Hebei and Shanxi Provinces, China, the random forest model (RF) was used to simulate the larch site index (SI) and growth suitability under three shared socioeconomic pathways (SSPs: SSP1-2.6, SSP2-4.5, and SSP5-8.5) for the current and future (2021–2040, 2041–2060 and 2080–2100). The results revealed that (1) RF had excellent performance in predicting the regional SI (R2 = 0.73, MAE = 0.93 m, RMSE = 1.35 m); (2) the main factors affecting the productivity of larch were the mean temperature of the warmest quarter (BIO10), elevation (ELEV), mean diurnal range (BIO2), and annual precipitation (BIO12); and (3) larch currently had a higher SI in the Bashang areas and in the high-altitude mountains. The areas characterized as unsuitable, poorly suitable, moderately suitable, and highly suitable accounted for 15.45%, 42.12%, 31.94%, and 10.49% of the total area, respectively. (4) Future climate warming had an obvious inhibitory effect on the SI, and the effect strengthened with increasing radiation intensity and year. (5) The moderately suitable and highly suitable areas of larch growth showed a downward trend under future climate scenarios. By the end of this century, the suitable growth areas would decrease by 14.14% under SSP1-2.6, 15.17% under SSP2-4.5, and 19.35% under SSP5-8.5. The results revealed the impact of climate change on larch growth suitability, which can provide a scientific basis for larch forest management.

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Long-Term Impacts of Forest Management Practices under Climate Change on Structure, Composition, and Fragmentation of the Canadian Boreal Landscape

Cited by 17 publications

References 93 publications

Forest Landscape Model Initialization with Remotely Sensed-Based Open-Source Databases in the Absence of Inventory Data

Forest Landscape Model Initialization with Remotely Sensed-Based Open-Source Databases in the Absence of Inventory Data

Proportion and Performance Optimization of Biomass Seedling Trays Based on Response Surface Analysis

Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios

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