Ecological classification for mountain forest sustainability  in northeast China

Dai, Limin; Shao, Guofan; Xiao, Baoying

doi:10.5558/tfc79233-2

Cited by 12 publications

(10 citation statements)

References 5 publications

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“…Forestry Surveying and Planning Institute of Hubei Province has established a forest resource database [35] . Dai et al [36] develop the classification of Ecological Land Types (ELT) in eastern mountainous regions of northeast China and demonstrate ELT mapping for the Baihe Forestry Bureau on the Changbai Mountains. The State Forestry Administration began to compile Digital Forestry standard and criteria in February of 2002.…”

Section: China's Digital Forestry Researchmentioning

confidence: 99%

Digital forestry research in China

Tang

Shao

et al. 2006

SCI CHINA SER E

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Digital Forestry as a concept was developed after the Digital Earth program. The Chinese scientists were not only among the pioneers who first proposed the concept of Digital Forestry, but also contributed a lot to the development of Digital Forestry. Digital Forestry is a digital framework to maintain forest planting, management, using, and protect. The synergetic use of computationally-intensive quantitative methods together with information technologies is the most important foundation for the development of Digital Forestry. Under this situation, the experience of Digital Forestry development in China is relatively rich. A number of academicians, scholars, and professional administrators were involved in discussing the Digital Forestry Construction Scheme. The Project of Digital Forestry Practicability approved by the State Forestry Administration is a major instance in developing Digital Forestry standard and key techniques. By introducing a case study of Digital Forestry, this paper reviews the concept of Digital Forestry, the way turning traditional forestry into Digital Forestry, and the future development of Digital Forestry.

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Section: China's Digital Forestry Researchmentioning

confidence: 99%

Digital forestry research in China

Tang

Shao

et al. 2006

SCI CHINA SER E

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“…Shao et al [4] suggested that the hierarchical ECS developed by Bailey [13] is suitable for China's forest ecosystems. Dai et al [8] developed criteria for ecological land type (ELT) classifications and mapped ecological land types for a forested area in northeast China at a lower ECS level. The ELT is the second lowest level of ECS [12] and its mapping procedure of using digital elevation models (DEM) with GIS was summarized by Shao et al [11] .…”

Section: Designing a Compatible Forest Inventory Systemmentioning

confidence: 99%

“…The USDA Forest Service, in conjunction with other federal and state agencies, has developed a hierarchical system of ecosystem classification [7] , which provides a prototype for stratifying areas into ecological units with relatively uniform climate, geology, physiography, soils, and vegetation, at different geographic scales [6] . A practical solution is to integrate ecological classification systems [4,8] and the existing forest inventory systems [9] . This paper intends to explain how a compatible forest inventory system is designed and why the compatible forest inventory system is significant to digital forestry in China.…”

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confidence: 99%

Digitally determining forest inventory units with an ecological classification system

et al. 2006

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Management-level forest resource data in China were obtained with a combination of two forest inventories. However, inconsistencies in the spatial attributes of forest data vary between the two inventory types and between two inventories of the same type. The inconsistencies make it inconvenient for long-term forest management planning with digital technologies.Ecological Land Types (ELTs) and Ecological Land Type Phases (ELTPs) have been mapped in selected forestry regions in northeast China, where important forest industries are located. The boundaries of ELTs are determined by geomorphic conditions, which are quantified by Digital Elevation Models (DEM); ELTPs are classified by overlaying ELTs with forest vegetation data layers that are obtained with both remotely sensed and ground data. The ELTPs represent the divisions of land in terms of both natural and human-induced forest conditions, and therefore they are reliable units for forest inventories and management.This paper introduces a case study for digitally determining forest inventory units in Benxi City, Liaoning Province, northeast China. The general objective of the study was to explain how a compatible forest inventory system should be designed and why the compatible forest inventory system was significant to digital forestry in China.

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“…Therefore, we suggest that China and the DPRK should strengthen their cooperation [2,41,42] and conduct rational and effective measures to alleviate the conflicts between socio-economic development and environmental protection [9,43] with the goal of improving regional forest coverage to maintain and promote sustainability in the TACM. of Grain for Green" in 2002, and "a new round for the overall program of Grain for Green" in 2014 [21,39].…”

Section: The Implications For Biodiversity Conservationmentioning

confidence: 99%

Spatiotemporal Patterns of Forest in the Transnational Area of Changbai Mountain from 1977 to 2015: A Comparative Analysis of the Chinese and DPRK Sub-Regions

2017

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Abstract:The transnational area of Changbai Mountain (TACM) is crucial to sustainable development in Northeast Asia owing to its abundant forest, which helps in maintaining biodiversity and multiple ecosystem services. However, the spatiotemporal patterns of forest in the TACM have been poorly understood across the whole region. The objectives of this study were to quantify the spatiotemporal patterns of forest in the TACM from 1977 to 2015, investigate the causes of forest dynamics, and assess the impacts of forest dynamics on habitat quality. To do this, we first extracted the forest in the TACM from Landsat images acquired in 1977, 1988, 1999, 2007, and 2015 using visual interpretation. Then, we analyzed the spatiotemporal patterns of forest in the TACM from 1977 to 2015 using landscape metrics and compared the dynamics of forest between the area in China and the area in the Democratic People's Republic of Korea (DPRK). After that, we investigated the driving forces of forest dynamics and the impacts of forest dynamics on habitat quality. We found that the TACM experienced a noticeable forest decrease-from 1.57 million ha in 1977 to 1.48 million ha in 2015, a decline of 5.78%-and underwent a forest fragmentation process. In particular, the sub-region in the DPRK had a much larger decrease (17.75%) than the sub-region in China (2.86%). We found that timber harvesting, urban expansion, agricultural reclamation, and typhoon disasters were the main driving forces behind forest decreases in the TACM. Specifically, agricultural reclamation was the most important factor in the DPRK sub-region, while urban expansion was the dominant factor in the Chinese sub-region. Furthermore, such forest loss and fragmentation has resulted in declines in habitat quality across both sides of the TACM. Thus, we suggest that more effective forest management with cooperation between China and DPRK is needed to maintain and improve forest coverage in the TACM.

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Ecological classification for mountain forest sustainability in northeast China

Cited by 12 publications

References 5 publications

Digital forestry research in China

Digital forestry research in China

Digitally determining forest inventory units with an ecological classification system

Spatiotemporal Patterns of Forest in the Transnational Area of Changbai Mountain from 1977 to 2015: A Comparative Analysis of the Chinese and DPRK Sub-Regions

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