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Liu X, Feng Y, Hu T, Luo Y, Zhao X, Wu J, Maeda EE, Ju W, Liu L, Guo Q, Su Y. Enhancing ecosystem productivity and stability with increasing canopy structural complexity in global forests. Sci Adv 2024; 10:eadl1947. [PMID: 38748796 PMCID: PMC11095460 DOI: 10.1126/sciadv.adl1947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 04/12/2024] [Indexed: 05/19/2024]
Abstract
Forest canopy structural complexity (CSC) plays a crucial role in shaping forest ecosystem productivity and stability, but the precise nature of their relationships remains controversial. Here, we mapped the global distribution of forest CSC and revealed the factors influencing its distribution using worldwide light detection and ranging data. We find that forest CSC predominantly demonstrates significant positive relationships with forest ecosystem productivity and stability globally, although substantial variations exist among forest ecoregions. The effects of forest CSC on productivity and stability are the balanced results of biodiversity and resource availability, providing valuable insights for comprehending forest ecosystem functions. Managed forests are found to have lower CSC but more potent enhancing effects of forest CSC on ecosystem productivity and stability than intact forests, highlighting the urgent need to integrate forest CSC into the development of forest management plans for effective climate change mitigation.
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Affiliation(s)
- Xiaoqiang Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuhao Feng
- Institute of Ecology, College of Urban and Environmental Science, Peking University, Beijing 100871, China
| | - Tianyu Hu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yue Luo
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoxia Zhao
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin Wu
- School of Biological Sciences and Institute for Climate and Carbon Neutrality, The University of Hong Kong, Pok Fu Lam, Hong Kong, China
| | - Eduardo E. Maeda
- Department of Geosciences and Geography, University of Helsinki, Helsinki FI-00014, Finland
- Finnish Meteorological Institute, FMI, Helsinki, Finland
| | - Weiming Ju
- Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
| | - Lingli Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qinghua Guo
- Institute of Ecology, College of Urban and Environmental Science, Peking University, Beijing 100871, China
- Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China
| | - Yanjun Su
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Silva Junior CHL, Aragão LEOC, Anderson LO, Fonseca MG, Shimabukuro YE, Vancutsem C, Achard F, Beuchle R, Numata I, Silva CA, Maeda EE, Longo M, Saatchi SS. Persistent collapse of biomass in Amazonian forest edges following deforestation leads to unaccounted carbon losses. Sci Adv 2020; 6:6/40/eaaz8360. [PMID: 32998890 PMCID: PMC7527213 DOI: 10.1126/sciadv.aaz8360] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 08/17/2020] [Indexed: 05/22/2023]
Abstract
Deforestation is the primary driver of carbon losses in tropical forests, but it does not operate alone. Forest fragmentation, a resulting feature of the deforestation process, promotes indirect carbon losses induced by edge effect. This process is not implicitly considered by policies for reducing carbon emissions in the tropics. Here, we used a remote sensing approach to estimate carbon losses driven by edge effect in Amazonia over the 2001 to 2015 period. We found that carbon losses associated with edge effect (947 Tg C) corresponded to one-third of losses from deforestation (2592 Tg C). Despite a notable negative trend of 7 Tg C year-1 in carbon losses from deforestation, the carbon losses from edge effect remained unchanged, with an average of 63 ± 8 Tg C year-1 Carbon losses caused by edge effect is thus an additional unquantified flux that can counteract carbon emissions avoided by reducing deforestation, compromising the Paris Agreement's bold targets.
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Affiliation(s)
- Celso H L Silva Junior
- Tropical Ecosystems and Environmental Sciences Laboratory, São José dos Campos, SP, Brazil.
- Remote Sensing Division, National Institute for Space Research, São José dos Campos, SP, Brazil
| | - Luiz E O C Aragão
- Tropical Ecosystems and Environmental Sciences Laboratory, São José dos Campos, SP, Brazil
- Remote Sensing Division, National Institute for Space Research, São José dos Campos, SP, Brazil
- Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Liana O Anderson
- Tropical Ecosystems and Environmental Sciences Laboratory, São José dos Campos, SP, Brazil
- National Center for Monitoring and Early Warning of Natural Disasters, São José dos Campos, SP, Brazil
| | - Marisa G Fonseca
- Tropical Ecosystems and Environmental Sciences Laboratory, São José dos Campos, SP, Brazil
- Remote Sensing Division, National Institute for Space Research, São José dos Campos, SP, Brazil
- Veraterra-Mapping and Environmental Consultancy, Praça Pedro Gomes, s/n, Serra Grande, Uruçuca, BA 45680-000 Brazil
| | - Yosio E Shimabukuro
- Tropical Ecosystems and Environmental Sciences Laboratory, São José dos Campos, SP, Brazil
- Remote Sensing Division, National Institute for Space Research, São José dos Campos, SP, Brazil
| | | | - Frédéric Achard
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy
| | - René Beuchle
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy
| | - Izaya Numata
- Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD, USA
| | - Carlos A Silva
- School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32611, USA
| | - Eduardo E Maeda
- Department of Geosciences and Geography, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Marcos Longo
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - Sassan S Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
- Institute of the Environment and Sustainability, University of California, Los Angeles, CA 90024, USA
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Mnkeni AP, Gierschner K, Maeda EE. Effect of blanching time and salt concentration on pectolytic enzymes, texture and acceptability of fermented green beans. Plant Foods Hum Nutr 1999; 53:285-296. [PMID: 10540980 DOI: 10.1023/a:1008041222968] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Effect of blanching time, salt concentration and fermentation on texture of green beans (var. Tuf) was determined. Beans were blanched at 90 degrees C for 1, 10 or 20 minutes and fermented with brine containing 3.08 and 4.6% salt (corresponding to 1.2 and 1.8% salt in the finished product). The beans were assessed for texture mechanically using Universal Testing Machine (Model 1011, Instron). Sensory evaluation was carried out to assess the taste, texture and overall acceptability of the products. Pectolytic enzyme (pectinestarase and exopolygalacturonase) activities were determined in fresh and fermented beans. Increase in blanching time improved the texture significantly. Significant (p<0.05) decreases in shearing energy of the beans were observed in the first two days of fermentation and, thereafter, there were no significant (p>0.05) changes except for samples blanched for one minute. Salt concentration showed a small but significant effect on texture only in samples blanched for one minute and this was probably due to activation by salt of residual pectolytic enzymes in the beans. Most acceptable beans were those blanched for 20 minutes and fermented with 1.2% salt brine.
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Affiliation(s)
- A P Mnkeni
- Department of Food Science and Technology, Sokoine University of Agriculture, Morogoro, Tanzania.
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Abstract
Green beans (var. Tuf) were blanched at 90 degrees C for 20 min and then fermented in 3.08% salt solution with starter culture. Trypsin inhibitors, vitamins B1 and B2 and protein were determined before and during fermentation as well as after storage for 36 days. Trypsin inhibitors, vitamins B1 and B2 were reduced significantly (P < or = 0.05) during fermentation. A decrease in protein content was observed during the first 2 days of fermentation and thereafter the decrease was not significant (P > or = 0.05). Storage of pasteurised beans at 20 degrees for 36 days had no significant effect on the vitamins and protein.
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Affiliation(s)
- A P Mnkeni
- Department of Food Science and Technology, Sokoine University of Agriculture, Chuo Kikuu, Morogoro, Tanzania
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