Not all forests are alike: the role of commercial forest in the conservation of landscape connectivity for the giant panda

Bu, Hongliang; McShea, William J.; Wang, Dajun; Wang, Fang; Chen, Youping; Gu, Xun; Yu, Lin; Jiang, Shiwei; Fa-hui, Zhang; Li, Sheng

doi:10.1007/s10980-021-01262-2

Cited by 8 publications

(6 citation statements)

References 41 publications

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“…First, the main information in the air of the forest area is collected using wireless sensor network technology to obtain specific information on humidity, light intensity, etc. ; in addition, soil parameters in the forest area can be dynamically monitored, while wind direction, wind speed, and atmospheric pressure can be dynamically monitored using meteorological collection nodes; second, RFID technology is used to dynamically locate objects in forestry resources, thus enabling monitoring of the transport and origin of the items [17]. Accordingly, it achieves the requirements of source management monitoring and tracking timber logistics and improves the circulation management of timber [18].…”

Section: Related Workmentioning

confidence: 99%

Construction of Landscape Ecological Planning Evaluation Model Based on Sensor Network

Cheng

Zhang

et al. 2022

Journal of Sensors

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The application of wireless sensor network (WSN) technology promotes the modernization of forestry. WSN application technology in forest areas is an important research topic for the sustainable development of forestry in China and is also a research hotspot for forestry ecological monitoring at present. The application of wireless sensor networks in forest areas, first of all, solves the problem of limited energy supply and low-latency data transmission in the forest environment. Due to the large area of the forest environment and uneven tree density, dynamic changes in forest height, easy to block the signal, and other characteristics, the forest environment is prone to node energy depletion fast, the network life cycle is short, and data transmission delays large dilemma. Second, the application of wireless sensor networks is usually centered on maximum data acquisition, but the contradiction between high data acquisition rate and limited energy supply is inevitable, so it is necessary to construct a maximum data acquisition rate model with limited energy supply as a constraint to guarantee the optimal acquisition conditions for wireless sensor networks. In this paper, from the application of wireless sensor network technology in forest environment, the research on the application of wireless sensor network in forestry is carried out around the analysis of energy self-collection permanent function of sensor nodes, sensor node transmission routing strategy, data collection, fusion, and fuzzy inference decision-making fire danger warning process, so as to provide a solution to the overall problem of forest fire warning based on rechargeable wireless sensor network. In this paper, we analyze the dynamic replenishment of energy in rechargeable wireless sensor networks and propose an energy-based transmission control protocol that effectively improves data transmission efficiency. In the rechargeable wireless sensor network, the network E2E (end-to-end) average delay time is calculated based on the number of nodes on the data transmission link. The research idea of this paper starts from the application technology of wireless sensor network in the forest environment, and the design of the energy self-collection permanent function of sensor nodes, sensor node transmission routing strategy, data collection, fusion, and fuzzy inference decision fire danger warning process are realized vertically.

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Section: Related Workmentioning

confidence: 99%

Construction of Landscape Ecological Planning Evaluation Model Based on Sensor Network

Cheng

Zhang

et al. 2022

Journal of Sensors

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“…Many studies (13 papers) also highlight the park's role in protecting other vulnerable species within its boundaries, such as the red panda and the golden snub-nosed monkey [85][86][87]. Willingness of locals to pay for conservation 5 [87,88,93,94,116] Policy recommendations Restrict grazing, planting, and construction in/around park 19 [86,91,92,95,98,[100][101][102][103][104][106][107][108][109]112,115,117,119,120] Invest in ecotourism and increase tourism regulation 9 [84,85,[88][89][90]92,95,96,113,116] Improve ecological compensation and migration schemes 8 [84,85,[88][89][90]94,96,97,121] Streamline local input in park management 6…”

Section: Giant Panda National Park (Gpnp)mentioning

confidence: 99%

Challenges and Opportunities in Aligning Conservation with Development in China’s National Parks: A Narrative Literature Review

Rule

Dill

Sun

et al. 2022

IJERPH

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As part of its effort to balance economic development with environmental objectives, China has established a new national park system, with the first five locations formally established in 2021. However, as the new parks all host or are proximate to human populations, aligning the socioeconomic needs and aspirations of local communities with conservation aims is critical for the long-term success of the parks. In this narrative review, the authors identify the ecological priorities and socioeconomic stakeholders of each of the five national parks; explore the tensions and synergies between these priorities and stakeholders; and synthesize the policy recommendations most frequently cited in the literature. A total of 119 studies were reviewed. Aligning traditional livelihoods with conservation, limiting road construction, promoting education and environmental awareness, and supporting the development of a sustainable tourism industry are identified as important steps to balance conservation with economic development in the new national parks.

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“…The CGPNP is located in the ecological barrier area of the Sichuan–Yunnan Loess Plateau in the “two screens and three belts” ecological barrier area in China’s ecological security strategy [ 42 ] with the largest population, protected area type and quantity in China [ 43 ]. The establishment of CGPNP brings together various nature reserves and increases the connectivity of giant panda habitats [ 44 , 45 , 46 ]. From northeast to southwest, the Sichuan Area of China Giant Panda National Park (SCOCGPNP) consists of seven cities (prefectures), including 19 counties (cities and districts).…”

Section: Study Area and Data Processingmentioning

confidence: 99%

Spatial-Temporal Evolution and Driving Forces of NDVI in China’s Giant Panda National Park

Zhao

et al. 2022

IJERPH

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Identifying the ecological evolution trends and vegetation driving mechanisms of giant panda national parks can help to improve the protection of giant panda habitats. Based on the research background of different geomorphological zoning, we selected the MODIS NDVI data from 2000 to 2020 to analyze the NDVI trends using a univariate linear model. A partial correlation analysis and multiple correlation analysis were used to reveal the influence of temperature and precipitation on NDVI trends. Fourteen factors related to meteorological factors, topographic factors, geological activities, and human activities were selected, and the Geographically Weighted Regression model was used to study the mechanisms driving NDVI change. The results were as follows: (1) The NDVI value of Giant Panda National Park has fluctuated and increased in the past 21 years, with an annual growth rate of 4.7%/yr. Affected by the Wenchuan earthquake in 2008, the NDVI value fluctuated greatly from 2008 to 2012, and reached its peak in 2018. (2) The NDVI in 94% of the study area improved, and the most significant improvement areas were mainly distributed in the northern and southern regions of Southwest Subalpine and Middle Mountain and the Xiaoxiangling area. Affected by the distribution of fault zones and their local activities, vegetation degradation was concentrated in the Dujiangyan–Anzhou area of Hengduan Mountain Alpine Canyon. (3) The Geographically Weighted Regression analysis showed that natural factors were dominant, with climate and elevation having a double-factor enhancement effect, the peak acceleration of ground motion and fault zone having a superimposed effect, and river density and slope having a double effect, all of which had a significant impact on the NDVI value of the surrounding area. To optimize the ecological security pattern of the Giant Panda National Park, we recommended strengthening the construction of ecological security projects through monitoring meteorological changes, preventing, and controlling geo-hazards, and optimizing the layout and intensity of human activities.

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Not all forests are alike: the role of commercial forest in the conservation of landscape connectivity for the giant panda

Cited by 8 publications

References 41 publications

Construction of Landscape Ecological Planning Evaluation Model Based on Sensor Network

Construction of Landscape Ecological Planning Evaluation Model Based on Sensor Network

Challenges and Opportunities in Aligning Conservation with Development in China’s National Parks: A Narrative Literature Review

Spatial-Temporal Evolution and Driving Forces of NDVI in China’s Giant Panda National Park

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