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Fan B, Lu H, Li Y, Shen C, Xu Q, Zhang J, Huan X, Wang Y, Wang N, Xu D, Dong Y, Cui A, Wu N. A novel approach for quantitatively distinguishing between anthropogenic and natural effects on paleovegetation. PNAS NEXUS 2024; 3:pgae135. [PMID: 38617585 PMCID: PMC11010655 DOI: 10.1093/pnasnexus/pgae135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/21/2024] [Indexed: 04/16/2024]
Abstract
How to distinguish and quantify past human impacts on vegetation is a significant challenge in paleoecology. Here, we propose a novel method, the error inflection point-discriminant technique. It finds out the inflection points (IPs) of the regression errors of pollen-climate transfer functions using modern pollen spectra from vegetation with different values of the Human Influence Index (HII), which represent the HII threshold values of native/secondary and secondary/artificial vegetation systems. Our results show that the HII value at the native/secondary vegetation IPs is approximately 22 and globally uniform, whereas it varies regionally for the secondary/artificial vegetation IPs. In a case study of the Liangzhu archaeological site in the lower Yangtze River, discriminant functions for pollen spectra from three vegetation types and pollen-climate transfer functions of the native vegetation were established to reconstruct paleovegetation and paleoclimate over the past 6,600 years. Our study demonstrates this method's feasibility for quantitatively distinguishing human impacts on paleovegetation and assessing quantitative paleoclimate reconstructions using pollen data.
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Affiliation(s)
- Baoshuo Fan
- Hebei Key Laboratory of Environmental Change and Ecological Construction, College of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, PR China
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China
| | - Houyuan Lu
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Yuecong Li
- Hebei Key Laboratory of Environmental Change and Ecological Construction, College of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, PR China
| | - Caiming Shen
- Yunnan Key Laboratory of Plateau Geographical Processes and Environmental Changes, Faculty of Geography, Yunnan Normal University, Kunming 650500, PR China
| | - Qinghai Xu
- Hebei Key Laboratory of Environmental Change and Ecological Construction, College of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, PR China
| | - Jianping Zhang
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China
| | - Xiujia Huan
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China
- Shandong Provincial Key Laboratory of Soil Conservation and Environmental Protection, School of Resources and Environment, Linyi University, Linyi 276000, PR China
| | - Yonglei Wang
- Zhejiang Provincial Institute of Relics and Archaeology, Hangzhou 310014, PR China
| | - Ningyuan Wang
- Zhejiang Provincial Institute of Relics and Archaeology, Hangzhou 310014, PR China
| | - Deke Xu
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China
| | - Yajie Dong
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China
| | - Anning Cui
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China
| | - Naiqin Wu
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China
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Li K, Tan B, Liao M, Ni J. Quadrat soil pollen signal reflects plant important values in forests and shrublands from subtropical China. FRONTIERS IN PLANT SCIENCE 2024; 15:1348182. [PMID: 38571712 PMCID: PMC10987713 DOI: 10.3389/fpls.2024.1348182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 03/11/2024] [Indexed: 04/05/2024]
Abstract
Pollen analysis, a crucial tool in botany and ecology for examining historical biotic dynamics, has elicited debate owing to its complex link with vegetation. The challenge lies in discerning the ecological significance of pollen data. In this study, we conducted detailed quadrat surveys on Jinhua Mountain, subtropical China, analyzing topsoil pollen to determine whether pollen signals accurately reflect key ecological components in the forests and shrublands. We performed direct comparisons between pollen and plant compositions and calculated pollen percentages and plant Important Values (IVs) for each quadrat. The results indicate greater homogeneity in pollen composition across the study area compared to plant composition, particularly in the high percentage of Pinus pollen. However, distinct plant communities exhibited significantly different pollen compositions, as evidenced by the multi-response permutation test. This divergence aligns with variations in the dominant plant species across different communities. There were significant correlations between pollen percentages and plant IVs, with correlation coefficients of 0.55 (p < 0.001) at the quadrat level and 0.78 (p < 0.001) at the taxon level. These results support the utility of pollen analysis for representing ecologically significant values in subtropical Chinese forests and shrublands. Such correlations might also be extrapolated to pollen-based paleoecological studies.
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Affiliation(s)
- Kai Li
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
- Jinhua Mountain Observation and Research Station for Subtropical Forest Ecosystems, Jinhua, China
| | - Bin Tan
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
- Jinhua Mountain Observation and Research Station for Subtropical Forest Ecosystems, Jinhua, China
| | - Mengna Liao
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
- Jinhua Mountain Observation and Research Station for Subtropical Forest Ecosystems, Jinhua, China
| | - Jian Ni
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
- Jinhua Mountain Observation and Research Station for Subtropical Forest Ecosystems, Jinhua, China
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Qu X, Huang C, Rao Z, Wu L, Luo Y, Chen F, Li Y, Zhao L, Liu L, Song Z, Deng W. Natural and anthropogenic controls on environmental change during the Holocene based on a multi-proxy record obtained from subalpine peatland in southern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169446. [PMID: 38159757 DOI: 10.1016/j.scitotenv.2023.169446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/02/2023] [Accepted: 12/15/2023] [Indexed: 01/03/2024]
Abstract
The interactions between past climate, human activity and environmental change in subtropical mountainous areas are poorly understood due to the lack of reliable records in South China. In this study, the evolution of the East Asian summer monsoon (EASM) during the Holocene, and the interactions between regional human activity and environmental change, were studied using multi-proxy records from a subalpine peat core recovered from South China. The chronology of this peat core has been well-constrained by 10 AMS 14C dates of peat stems. A series of proxy indicators, including carbon isotopes (δ13C), loss on ignition (LOI), magnetic susceptibility (MS), the chemical index of alteration (CIA), and geochemical elements from the Shiwangutian (SWGT) peatland were used to reconstruct the palaeohydrological changes during the Holocene. Regional moisture levels showed a generally arid-wet-arid pattern, and three phases of climatic change were detected as follows. 1) Between 11,600 and 9000 cal yr BP, the EASM was weak and a relatively dry climate developed. 2) Between 9000 and 4000 cal yr BP, the prevalence of humid climatic conditions was associated with a strong summer monsoon. 3) After 4000 cal yr BP, the climate shifted to relatively dry conditions. Further comparisons and analysis suggested that solar insolation, migration of the Intertropical Convergence Zone (ITCZ), and El Niño-Southern Oscillation (ENSO) activity played an important role in determining the variations in Holocene EASM intensity. In addition, the increase in both MS and heavy metal concentrations over the last 1000 years is consistent with an increase in the population of Hunan Province. Therefore, it can be inferred that population growth and the associated expansion of cropland and mining led to an increase in soil erosion and metal tool use. These findings suggest that the impact of human activity generally outweighed the natural climatic controls on the environment and landscape in the mountainous region of southern China over the last 1000 years.
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Affiliation(s)
- Xiaoxu Qu
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China
| | - Chao Huang
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China; Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou Marine Geological Survey, Guangzhou 511458, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, China.
| | - Zhiguo Rao
- Hunan Provincial Key Laboratory for Eco-environmental Changes and Carbon Sequestration of the Dongting Lake Basin, School of Geographical Sciences, Hunan Normal University, Changsha 410081, China
| | - Liyuan Wu
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China
| | - Yongyi Luo
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China
| | - Fajin Chen
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, China
| | - YunXia Li
- Hunan Provincial Key Laboratory for Eco-environmental Changes and Carbon Sequestration of the Dongting Lake Basin, School of Geographical Sciences, Hunan Normal University, Changsha 410081, China
| | - Lin Zhao
- Hunan Provincial Key Laboratory for Eco-environmental Changes and Carbon Sequestration of the Dongting Lake Basin, School of Geographical Sciences, Hunan Normal University, Changsha 410081, China
| | - Lidan Liu
- Hunan Provincial Key Laboratory for Eco-environmental Changes and Carbon Sequestration of the Dongting Lake Basin, School of Geographical Sciences, Hunan Normal University, Changsha 410081, China
| | - Zhiguang Song
- College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Wenfeng Deng
- State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
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Qin SY, Zuo ZY, Xu SX, Liu J, Yang FM, Luo YH, Ye JW, Zhao Y, Rong J, Liu B, Ma PF, Li DZ. Anthropogenic disturbance driving population decline of a dominant tree in East Asia evergreen broadleaved forests over the last 11,000 years. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14180. [PMID: 37700668 DOI: 10.1111/cobi.14180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/09/2023] [Accepted: 06/12/2023] [Indexed: 09/14/2023]
Abstract
Current biodiversity loss is generally considered to have been caused by anthropogenic disturbance, but it is unclear when anthropogenic activities began to affect biodiversity loss. One hypothesis suggests it began with the Industrial Revolution, whereas others propose that anthropogenic disturbance has been associated with biodiversity decline since the early Holocene. To test these hypotheses, we examined the unique vegetation of evergreen broadleaved forests (EBLFs) in East Asia, where humans have affected landscapes since the early Holocene. We adopted a genomic approach to infer the demographic history of a dominant tree (Litsea elongata) of EBLFs. We used Holocene temperature and anthropogenic disturbance factors to calculate the correlation between these variables and the historical effective population size of L. elongata with Spearman statistics and integrated the maximum-entropy niche model to determine the impact of climate change and anthropogenic disturbance on fluctuation in its effective population size. We identified 9 well-defined geographic clades for the populations of L. elongata. Based on the estimated historical population sizes of these clades, all the populations contracted, indicating persistent population decline over the last 11,000 years. Demographic history of L. elongata and human population change, change in cropland use, and change in irrigated rice area were significantly negatively correlated, whereas climate change in the Holocene was not correlated with demographic history. Our results support the early human impact hypothesis and provide comprehensive evidence that early anthropogenic disturbance may contribute to the current biodiversity crisis in East Asia.
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Affiliation(s)
- Sheng-Yuan Qin
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Zheng-Yu Zuo
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Shuang-Xiu Xu
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Jie Liu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Feng-Mao Yang
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Ya-Huang Luo
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Jun-Wei Ye
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China
| | - Yao Zhao
- Jiangxi Province Key Laboratory of Watershed Ecosystem Change and Biodiversity, Center for Watershed Ecology, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, China
| | - Jun Rong
- Jiangxi Province Key Laboratory of Watershed Ecosystem Change and Biodiversity, Center for Watershed Ecology, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, China
| | - Bing Liu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- Sino-African Joint Research Center, Chinese Academy of Sciences, Wuhan, China
| | - Peng-Fei Ma
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - De-Zhu Li
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
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Flantua SGA, Hooghiemstra H. Anthropogenic pollen indicators: Global food plants and Latin American human indicators in the pollen record. Sci Data 2023; 10:721. [PMID: 37857627 PMCID: PMC10587149 DOI: 10.1038/s41597-023-02613-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 10/02/2023] [Indexed: 10/21/2023] Open
Abstract
Pollen-based evidence of human presence is crucial for reconstructing human history. However, information on the morphology of pollen grains of global food plants and regional pollen-based human indicators is scattered in the literature, leading to the risk of overlooking important evidence of human presence. To address this issue, we first compiled a comprehensive overview of 354 major food plants worldwide, creating a paleoecology-friendly format that includes their family, vernacular name, earliest known use, environmental preference, and geographical region. Moreover, we identified the sources of illustrations of their pollen grains for 209 out of 273 different genera of globally relevant food plants in 10 selected pollen atlases. Secondly, we compiled all human indicators from pollen-based paleoecological literature in Latin America (based on 750 references), providing an overview of 212 single-pollen type indicators and identified 95 crucial combinations of pollen types as "human indices", and their corresponding references. Our review datasets aids in distilling human evidence from numerous fossil pollen records worldwide.
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Affiliation(s)
- Suzette G A Flantua
- Department of Biological Sciences, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway.
| | - Henry Hooghiemstra
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands
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Zhang W, Wu H, Cheng J, Geng J, Li Q, Sun Y, Yu Y, Lu H, Guo Z. Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass. Nat Commun 2022; 13:5334. [PMID: 36088463 PMCID: PMC9464234 DOI: 10.1038/s41467-022-33107-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 08/30/2022] [Indexed: 11/09/2022] Open
Abstract
The origin of the temperature divergence between Holocene proxy reconstructions and model simulations remains controversial, but it possibly results from potential biases in the seasonality of reconstructions or in the climate sensitivity of models. Here we present an extensive dataset of Holocene seasonal temperatures reconstructed using 1310 pollen records covering the Northern Hemisphere landmass. Our results indicate that both summer and winter temperatures warmed from the early to mid-Holocene (~11–7 ka BP) and then cooled thereafter, but with significant spatial variability. Strong early Holocene warming trend occurred mainly in Europe, eastern North America and northern Asia, which can be generally captured by model simulations and is likely associated with the retreat of continental ice sheets. The subsequent cooling trend is pervasively recorded except for northern Asia and southeastern North America, which may reflect the cross-seasonal impact of the decreasing summer insolation through climatic feedbacks, but the cooling in winter season is not well reproduced by climate models. Our results challenge the proposal that seasonal biases in proxies are the main origin of model–data discrepancies and highlight the critical impact of insolation and associated feedbacks on temperature changes, which warrant closer attention in future climate modelling. The study reconstructed Holocene seasonal temperatures using 1,310 pollen records covering the Northern Hemisphere landmass, and show that both summer and winter temperatures peaked at ~7 ka BP, but with significant spatial variability.
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Cao X, Tian F, Herzschuh U, Ni J, Xu Q, Li W, Zhang Y, Luo M, Chen F. Human activities have reduced plant diversity in eastern China over the last two millennia. GLOBAL CHANGE BIOLOGY 2022; 28:4962-4976. [PMID: 35596650 DOI: 10.1111/gcb.16274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 05/15/2022] [Indexed: 06/15/2023]
Abstract
Understanding the history and regional singularities of human impact on vegetation is key to developing strategies for sustainable ecosystem management. In this study, fossil and modern pollen datasets from China are employed to investigate temporal changes in pollen composition, analogue quality, and pollen diversity during the Holocene. Anthropogenic disturbance and vegetation's responses are also assessed. Results reveal that pollen assemblages from non-forest communities fail to provide evidence of human impact for the western part of China (annual precipitation less than 400 mm and/or elevation more than 3000 m.a.s.l.), as inferred from the stable quality of modern analogues, principal components, and diversity of species and communities throughout the Holocene. For the eastern part of China, the proportion of fossil pollen spectra with good modern analogues increases from ca. 50% to ca. 80% during the last 2 millennia, indicating an enhanced intensity of anthropogenic disturbance on vegetation. This disturbance has caused the pollen spectra to become taxonomically less diverse over space (reduced abundances of arboreal taxa and increased abundances of herbaceous taxa), highlighting a reduced south-north differentiation and divergence from past vegetation between regions in the eastern part of China. We recommend that care is taken in eastern China when basing the development of ecosystem management strategies on vegetation changes in the region during the last 2000 years, since humans have significantly disturbed the vegetation during this period.
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Affiliation(s)
- Xianyong Cao
- Group of Alpine Paleoecology and Human Adaptation (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Fang Tian
- College of Resource Environment and Tourism, Capital Normal University, Beijing, China
| | - Ulrike Herzschuh
- Polar Terrestrial Environmental Systems, Alfred Wegner Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
- Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Jian Ni
- College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, China
| | - Qinghai Xu
- College of Resources and Environment Sciences, Hebei Normal University, Shijiazhuang, China
| | - Wenjia Li
- Group of Alpine Paleoecology and Human Adaptation (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Yanrong Zhang
- Group of Alpine Paleoecology and Human Adaptation (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Mingyu Luo
- College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes of the Ministry of Education, Institute of Ecology, Peking University, Beijing, China
| | - Fahu Chen
- Group of Alpine Paleoecology and Human Adaptation (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
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Roberts P, Hamilton R, Piperno DR. Tropical forests as key sites of the "Anthropocene": Past and present perspectives. Proc Natl Acad Sci U S A 2021; 118:e2109243118. [PMID: 34580229 PMCID: PMC8501787 DOI: 10.1073/pnas.2109243118] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/05/2021] [Indexed: 11/18/2022] Open
Affiliation(s)
- Patrick Roberts
- Department of Archaeology, Max Planck Institute for the Science of Human History, 07745 Jena, Germany;
- School of Social Science, The University of Queensland, St. Lucia, QLD 4072, Australia
- Archaeological Studies Programme, University of the Philippines, 1101 Quezon City, The Philippines
| | - Rebecca Hamilton
- Department of Archaeology, Max Planck Institute for the Science of Human History, 07745 Jena, Germany
- School of Culture, History and Language, College of Asia and the Pacific, The Australian National University, Canberra, ACT 0200 Australia
| | - Dolores R Piperno
- Department of Anthropology, Smithsonian National Museum of Natural History, Washington, DC 20560
- Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama
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