Impacts of Changing Forest Management Areas on Forest Landscapes and Habitat Patterns in Northeastern China

Wu, Wen; Li, Yuehui; Hu, Yuanman; Xiu, Chunliang; Yan, Xiaolu

doi:10.3390/su10041211

Cited by 9 publications

(9 citation statements)

References 34 publications

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“…The Great Khingan Range is a well-known mountain range in northeast China, bordering the Russian Far East in the north (49 • 22'57" N, 123 • 09'24" E) [36,37]. The area has a large expanse of hills with an elevation of 1200-1300 m a.s.l., and it belongs to the cold temperate zone continental monsoon climate.…”

Section: Introductionmentioning

confidence: 99%

Effects of Fire Severity and Topography on Soil Black Carbon Accumulation in Boreal Forest of Northeast China

Huang

Chang

et al. 2018

Forests

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Black carbon (BC) from incomplete combustion of biomass and fossil fuel is widespread in sediments and soils because of its high stability in nature and is considered an important component of the global carbon sink. However, knowledge of BC stocks and influencing factors in forest ecosystems is currently limited. We investigated soil BC contents in burned boreal forests of the Great Khingan Mountains, northeast China. We collected soil samples from 14 sites with different fire severities, slope positions and aspects. The samples were analyzed by the chemo-thermal oxidation method to obtain their BC concentrations. The BC concentrations of the studied soils ranged from 0.03 to 36.91 mg C g −1 , with a mean of 1.44 ± 0.11 mg C g −1 . BC concentrations gradually decline with depth, and that was significantly less in the 20-30 cm layer compared to all shallower layers. Forests burned by moderate-severity fires had the highest soil BC, the shady aspect had higher soil BC than the sunny aspect. Our results provide some basic data for evaluating the soil BC sink in boreal forests, which is a useful amendment to current carbon budget and carbon cycle in boreal forest ecosystems.

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Section: Introductionmentioning

confidence: 99%

Effects of Fire Severity and Topography on Soil Black Carbon Accumulation in Boreal Forest of Northeast China

Huang

Chang

et al. 2018

Forests

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“…Distance to a forest management area was found to affect habitat suitability with a contribution probability ranging from 4% to 6% and, with an increase in the management area, suitable habitat for roe deer decreased. Habitat suitability for roe deer reached its peak about 1300 m from a forest management area (Wu et al, 2018). Bonnot et al (2013) found that the average distance of a GPS location to the nearest human dwelling was 224 m (range: 1.8-995.8 m) and the average distance to the nearest road was 247 m (range: 0.2-818.1 m).…”

Section: The Environmental Factors Of Habitat Suitability Changesmentioning

confidence: 99%

Anthropogenic effect on forest landscape pattern and Cervidae habitats in northeastern China

et al. 2019

J. Geogr. Sci.

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Species abundance and habitat distribution are two important aspects of species conservation studies and both are affected by similar environmental factors. Forest resource inventory data in 2010 were used to evaluate the patterns of habitat for target species of Cervidae in six typical forestry bureaus of the Yichun forest area in the Lesser Xing'an Mountains, northeastern China. A habitat suitability index (HSI) model was used based on elevation, slope, aspect, vegetation and age of tree. These five environmental factors were selected by boosted regression tree (BRT) analysis from 14 environmental variables collected during field surveys. Changes in habitat caused by anthropogenic activities mainly involving settlement and road factors were also considered. The results identified 1780.49 km 2 of most-suitable and 1770.70 km 2 of unsuitable habitat areas under natural conditions, covering 16.38% and 16.29% of the entire study area, respectively. The area of most-suitable habitat had been reduced by 4.86% when human interference was taken into account, whereas the unsuitable habitat area had increased by 11.3%, indicating that anthropogenic disturbance turned some potential habitats into unsuitable ones. Landscape metrics indicated that average patch area declined while patch density and edge density increased. This suggests that as habitat becomes fragmented and its quality becomes degraded by human activities, cervid populations will be threatened with extirpation. The study helped identify the spatial extent of habitat influenced by anthropogenic interference for the local cervid population. As cervid species clearly avoid human activities, more attention should be paid on considering the way and intensity of human activities for habitat management as fully as possible.

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“…MaxEnt is a general-purpose machine learning method for making predictions or inferences from incomplete information [8]. The intent of MaxEnt is to estimate a target probability distribution by finding the probability distribution of maximum entropy (which is most spread out, or nearly uniform), subject to a set of constraints that represent incomplete information about the target distribution [7,9]. MaxEnt has good performance in modeling species geographic distribution with presence-only data [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…The intent of MaxEnt is to estimate a target probability distribution by finding the probability distribution of maximum entropy (which is most spread out, or nearly uniform), subject to a set of constraints that represent incomplete information about the target distribution [7,9]. MaxEnt has good performance in modeling species geographic distribution with presence-only data [9][10][11][12]. However, different climatic factors were selected to simulate the relationship between species and climate, and the distribution of species was then predicted in previous studies.…”

Section: Introductionmentioning

confidence: 99%

Climatic Suitability of the Geographic Distribution of Stipa breviflora in Chinese Temperate Grassland under Climate Change

Zhou

2018

Sustainability

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Stipa breviflora, a dominant species of Chinese temperate grassland, is vulnerable to climate change. A quantitative description of the changes in the geographic distribution of S. breviflora under climate change can provide a reference for potential changes in Chinese temperate grassland and the necessary countermeasures to cope with climate change. In this study, the relationship between the geographic distribution of S. breviflora and the climate, and its inter-decadal change in geographic distribution and climatic suitability from 1961 to 2040 were investigated. The results showed that S. breviflora's geographic distribution could be simulated very well by the MaxEnt model, and its climatic suitability could be divided into four levels-most suitable, medium suitable, less suitable, and unsuitable areas-based on its existence probability from the MaxEnt model. In the past 50 years, the total climate-suitable area for S. breviflora's potential geographical distribution exhibited an obvious increase and a trend of northward expansion, which was larger than the current distribution area. The total climate-suitable area would increase by about 6.7% and decrease by 11.5% from 2011-2040 under RCP4.5 and RCP8.5 climate scenarios, respectively; however, the most suitable area increased and moved to western areas of Tibet, Qinghai, and Ningxia. The results revealed that the distribution area of S. breviflora still has greater potential for expansion.

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Impacts of Changing Forest Management Areas on Forest Landscapes and Habitat Patterns in Northeastern China

Cited by 9 publications

References 34 publications

Effects of Fire Severity and Topography on Soil Black Carbon Accumulation in Boreal Forest of Northeast China

Effects of Fire Severity and Topography on Soil Black Carbon Accumulation in Boreal Forest of Northeast China

Anthropogenic effect on forest landscape pattern and Cervidae habitats in northeastern China

Climatic Suitability of the Geographic Distribution of Stipa breviflora in Chinese Temperate Grassland under Climate Change

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