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Masinda MM, Li F, Qi L, Sun L, Hu T. Forest fire risk estimation in a typical temperate forest in Northeastern China using the Canadian forest fire weather index: case study in autumn 2019 and 2020. NATURAL HAZARDS (DORDRECHT, NETHERLANDS) 2021; 111:1085-1101. [PMID: 34642544 PMCID: PMC8494459 DOI: 10.1007/s11069-021-05054-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 09/23/2021] [Indexed: 06/10/2023]
Abstract
China's forest cover has increased by approximately 10% as a result of sustainable forest management since the late 1970s. The forest ecosystem area affected by fire is increasing at an alarming rate of approximately 600,000 ha per year. The northeastern part of China, with a forest cover of 41.6%, has the greatest percentage of acres affected by forest fires. This study combines field and satellite weather data to determine factors that influence dead fuel moisture content (FMC). It assesses the use of the Canadian forest fire weather index to determine the daily forest fire danger in a typical temperate forest in Northeastern China during autumn. Based on the Wilcoxon test for paired samples, the observed and predicted values of FMC showed similar variation in eight of eleven sampling sites (72.7%), with a p value > 0.05. Three sampling plots presented lower predicted values of FMC than observed values (27.3%), with a p value < 0.05. The calculation of fire risk using the Canadian Forest Fire Weather Rating System (CFFDRS) in Maoer Mountain forest ecosystems presented low, medium or high risk; thus, the CFFDRS is suitable for determining fire danger in our study region. Along with these results, this study served to compare the use of FMC-metre field data and China Weather Station data to evaluate fire danger. The results of this study led us to suggest the multiplication of meteorological stations in fire-prone regions.
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Affiliation(s)
- Maombi Mbusa Masinda
- Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, College of Forestry, Northeast Forestry University, 26 Hexing Road, Harbin, 150040 China
- Faculty of Sciences, Université Officielle de Ruwenzori, North Kivu, Democratic Republic of the Congo
| | - Fei Li
- Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, College of Forestry, Northeast Forestry University, 26 Hexing Road, Harbin, 150040 China
| | - Liu Qi
- Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, College of Forestry, Northeast Forestry University, 26 Hexing Road, Harbin, 150040 China
| | - Long Sun
- Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, College of Forestry, Northeast Forestry University, 26 Hexing Road, Harbin, 150040 China
| | - Tongxin Hu
- Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, College of Forestry, Northeast Forestry University, 26 Hexing Road, Harbin, 150040 China
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Liu X, Trogisch S, He JS, Niklaus PA, Bruelheide H, Tang Z, Erfmeier A, Scherer-Lorenzen M, Pietsch KA, Yang B, Kühn P, Scholten T, Huang Y, Wang C, Staab M, Leppert KN, Wirth C, Schmid B, Ma K. Tree species richness increases ecosystem carbon storage in subtropical forests. Proc Biol Sci 2018; 285:20181240. [PMID: 30135164 PMCID: PMC6125896 DOI: 10.1098/rspb.2018.1240] [Citation(s) in RCA: 105] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 07/17/2018] [Indexed: 11/12/2022] Open
Abstract
Forest ecosystems are an integral component of the global carbon cycle as they take up and release large amounts of C over short time periods (C flux) or accumulate it over longer time periods (C stock). However, there remains uncertainty about whether and in which direction C fluxes and in particular C stocks may differ between forests of high versus low species richness. Based on a comprehensive dataset derived from field-based measurements, we tested the effect of species richness (3-20 tree species) and stand age (22-116 years) on six compartments of above- and below-ground C stocks and four components of C fluxes in subtropical forests in southeast China. Across forest stands, total C stock was 149 ± 12 Mg ha-1 with richness explaining 28.5% and age explaining 29.4% of variation in this measure. Species-rich stands had higher C stocks and fluxes than stands with low richness; and, in addition, old stands had higher C stocks than young ones. Overall, for each additional tree species, the total C stock increased by 6.4%. Our results provide comprehensive evidence for diversity-mediated above- and below-ground C sequestration in species-rich subtropical forests in southeast China. Therefore, afforestation policies in this region and elsewhere should consider a change from the current focus on monocultures to multi-species plantations to increase C fixation and thus slow increasing atmospheric CO2 concentrations and global warming.
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Affiliation(s)
- Xiaojuan Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, 100093 Beijing, People's Republic of China
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland
| | - Stefan Trogisch
- Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, 06108 Halle (Saale), Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
| | - Jin-Sheng He
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, 100871 Beijing, People's Republic of China
| | - Pascal A Niklaus
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland
| | - Helge Bruelheide
- Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, 06108 Halle (Saale), Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
| | - Zhiyao Tang
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, 100871 Beijing, People's Republic of China
| | - Alexandra Erfmeier
- Institute for Ecosystem Research, University of Kiel, 24118 Kiel, Germany
| | | | - Katherina A Pietsch
- Systematic Botany and Functional Biodiversity, University of Leipzig, 04103 Leipzig, Germany
| | - Bo Yang
- Institute of Biology, Geobotany and Botanical Garden, Jingdezhen University, 333000 Jiangxi, People's Republic of China
| | - Peter Kühn
- Soil Science and Geomorphology, Department of Geosciences, University of Tübingen, 72070 Tübingen, Germany
| | - Thomas Scholten
- Soil Science and Geomorphology, Department of Geosciences, University of Tübingen, 72070 Tübingen, Germany
| | - Yuanyuan Huang
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland
| | - Chao Wang
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, 100871 Beijing, People's Republic of China
| | - Michael Staab
- Department of Nature Conservation and Landscape Ecology, Faculty of Earth and Environmental Sciences, University of Freiburg, 79106 Freiburg, Germany
| | - Katrin N Leppert
- Faculty of Biology, Geobotany, University of Freiburg, 79106 Freiburg, Germany
| | - Christian Wirth
- Systematic Botany and Functional Biodiversity, University of Leipzig, 04103 Leipzig, Germany
| | - Bernhard Schmid
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland
- Department of Geography, University of Zurich, 8057 Zurich, Switzerland
| | - Keping Ma
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, 100093 Beijing, People's Republic of China
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Nüchel J, Bøcher PK, Xiao W, Zhu AX, Svenning JC. Snub-nosed monkeys ( Rhinopithecus): potential distribution and its implication for conservation. BIODIVERSITY AND CONSERVATION 2018; 27:1517-1538. [PMID: 31258260 PMCID: PMC6560942 DOI: 10.1007/s10531-018-1507-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2016] [Revised: 01/09/2018] [Accepted: 01/17/2018] [Indexed: 06/01/2023]
Abstract
Many threatened species have undergone range retraction, and are confined to small fragmented populations. To increase their survival prospects, it is necessary to find suitable habitat outside their current range, to increase and interconnect populations. Species distribution models may be used to this purpose and can be an important part of the conservation strategies. One pitfall is that such mapping will typically assume that the current distribution represents the optimal habitat, which may not be the case for threatened species. Here, we use maximum entropy modelling (Maxent) and rectilinear bioclimatic envelope modelling with current and historical distribution data, together with the location of protected areas, and environmental and anthropogenic variables, to answer three key questions for the conservation of Rhinopithecus, a highly endangered genus of primates consisting of five species of which three are endemic to China, one is endemic to China and Myanmar and one is endemic to Vietnam; Which environmental variables best predict the distribution? To what extent is Rhinopithecus living in an anthropogenically truncated niche space? What is the genus’ potential distribution in the region? Mean temperature of coldest and warmest quarter together with annual precipitation and precipitation during the driest quarter were the variables that best explained Rhinopithecus’ distribution. The historical records were generally in warmer and wetter areas and in lower elevation than the current distribution, strongly suggesting that Rhinopithecus today survives in an anthropogenic truncated niche space. There is 305,800–319,325 km2 of climatic suitable area within protected areas in China, of which 96,525–100,275 km2 and 17,175–17,550 km2 have tree cover above 50 and 75%, respectively. The models also show that the area predicted as climatic suitable using Maxent was 72–89% larger when historical records were included. Our results emphasise the importance of considering historical records when assessing restoration potential and show that there is high potential for restoring Rhinopithecus to parts of its former range.
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Affiliation(s)
- Jonas Nüchel
- Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000 Aarhus, Denmark
- Sino-Danish Center for Education and Research, Beijing, 100101 China
| | - Peder Klith Bøcher
- Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000 Aarhus, Denmark
| | - Wen Xiao
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003 Yunnan China
| | - A-Xing Zhu
- School of Geography, Nanjing Normal University, Nanjing, 210023 Jiangsu China
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101 China
- Department of Geography, University of Wisconsin-Madison, 550 North Park Street, Madison, WI 53706 USA
| | - Jens-Christian Svenning
- Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000 Aarhus, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Aarhus University, Ny Munkegade 114, 8000 Aarhus, Denmark
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