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Wientjes E, Seijger C. Less water in agriculture? Potential and challenges in optimizing water use efficiency. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:3754-3757. [PMID: 38982746 PMCID: PMC11233778 DOI: 10.1093/jxb/erae227] [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] [Indexed: 07/11/2024]
Abstract
This article comments on: Turc B, Sahay S, Haupt J, de Oliveira Santos T, Bai G, Glowacka K. 2024. Up-regulation of non-photochemical quenching improves water use efficiency and reduces whole-plant water consumption under drought in Nicotianatabacum. Journal of Experimental Botany 75, 3959-3972.
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Affiliation(s)
- Emilie Wientjes
- Wageningen University and Research, Laboratory of Biophysics, 6703 WE Wageningen, The Netherlands
| | - Chris Seijger
- Wageningen University and Research, Water Resources Management, 6700 AK Wageningen, The Netherlands
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Raynor EJ, Derner JD, Hartman MD, Dorich CD, Parton WJ, Hendrickson JR, Harmoney KR, Brennan JR, Owensby CE, Kaplan NE, Lutz SM, Hoover DL, Augustine DJ. Secondary production of the central rangeland region of the United States. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2024; 34:e2978. [PMID: 38725417 DOI: 10.1002/eap.2978] [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: 08/21/2023] [Revised: 11/26/2023] [Accepted: 03/08/2024] [Indexed: 07/02/2024]
Abstract
Rangelands are the dominant land use across a broad swath of central North America where they span a wide gradient, from <350 to >900 mm, in mean annual precipitation. Substantial efforts have examined temporal and spatial variation in aboveground net primary production (ANPP) to precipitation (PPT) across this gradient. In contrast, net secondary productivity (NSP, e.g., primary consumer production) has not been evaluated analogously. However, livestock production, which is a form of NSP or primary consumer production supported by primary production, is the dominant non-cultivated land use and an integral economic driver in these regions. Here, we used long-term (mean length = 19 years) ANPP and NSP data from six research sites across the Central Great Plains with a history of a conservative stocking to determine resource (i.e., PPT)-productivity relationships, NSP sensitivities to dry-year precipitation, and regional trophic efficiencies (e.g., NSP:ANPP ratio). PPT-ANPP relationships were linear for both temporal (site-based) and spatial (among site) gradients. The spatial PPT-NSP model revealed that PPT mediated a saturating relationship for NSP as sites became more mesic, a finding that contrasts with many plant-based PPT-ANPP relationships. A saturating response to high growing-season precipitation suggests biogeochemical rather than vegetation growth constraints may govern NSP (i.e., large herbivore production). Differential sensitivity in NSP to dry years demonstrated that the primary consumer production response heightened as sites became more xeric. Although sensitivity generally decreased with increasing precipitation as predicted from known PPT-ANPP relationships, evidence suggests that the dominant species' identity and traits influenced secondary production efficiency. Non-native northern mixed-grass prairie was outperformed by native Central Great Plains rangeland in sensitivity to dry years and efficiency in converting ANPP to NSP. A more comprehensive understanding of the mechanisms leading to differences in producer and consumer responses will require multisite experiments to assess biotic and abiotic determinants of multi-trophic level efficiency and sensitivity.
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Affiliation(s)
- Edward J Raynor
- AgNext, Department of Animal Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Justin D Derner
- Rangeland Resources and Systems Research Unit, US Department of Agriculture-Agricultural Research Service, Cheyenne, Wyoming, USA
| | - Melannie D Hartman
- Natural Resource Ecology Lab, Colorado State University, Fort Collins, Colorado, USA
| | - Christopher D Dorich
- Natural Resource Ecology Lab, Colorado State University, Fort Collins, Colorado, USA
| | - William J Parton
- Natural Resource Ecology Lab, Colorado State University, Fort Collins, Colorado, USA
| | - John R Hendrickson
- Northern Great Plains Research Laboratory, US Department of Agriculture-Agricultural Research Service, Mandan, North Dakota, USA
| | - Keith R Harmoney
- Agricultural Research Center, Kansas State University, Hays, Kansas, USA
| | - Jameson R Brennan
- West River Agricultural Center, South Dakota State University, Rapid City, South Dakota, USA
| | - Clenton E Owensby
- Department of Agronomy, Kansas State University, Manhattan, Kansas, USA
| | - Nicole E Kaplan
- Rangeland Resources and Systems Research Unit, US Department of Agriculture-Agricultural Research Service, Fort Collins, Colorado, USA
| | - Susan M Lutz
- Rangeland Resources and Systems Research Unit, US Department of Agriculture-Agricultural Research Service, Cheyenne, Wyoming, USA
| | - David L Hoover
- Rangeland Resources and Systems Research Unit, US Department of Agriculture-Agricultural Research Service, Fort Collins, Colorado, USA
| | - David J Augustine
- Rangeland Resources and Systems Research Unit, US Department of Agriculture-Agricultural Research Service, Fort Collins, Colorado, USA
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Boughton EH, Silveira ML, Swain H, DeLong A, Sclater V, Azad S, Bracho R, Saha A, Sonnier G. The LTAR Grazing Land Common Experiment at Archbold Biological Station-University of Florida. JOURNAL OF ENVIRONMENTAL QUALITY 2024. [PMID: 38880951 DOI: 10.1002/jeq2.20593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 05/14/2024] [Indexed: 06/18/2024]
Abstract
The Archbold Biological Station-University of Florida (ABS-UF) Long-term Agroecosystem Research (LTAR) site lies in the heart of south-central Florida, representing subtropical humid grazing lands in North America and globally. Beef producers in this region face challenges due to climate variability, limited nutritive value of forages, poor soils, public concerns about water quality and greenhouse gas emissions, management trade-offs, economic uncertainty, and increasing urban encroachment. The ABS-UF Common Experiment, co-designed with stakeholders, will assess innovative management systems in comparison to prevailing management systems on key indicators of sustainability. Innovative management systems being tested are alternative fire (frequency and spatial extent) and grazing practices (stocking rate and system). The common experiment framework was implemented across a management intensity gradient spanning from native rangeland to cultivated pastures, including embedded wetlands. Issues that have arisen to date include difficulties in implementing prescribed fire and reduced productivity in cultivated pastures associated with innovative management, which led to an adjustment of the experimental treatment. A stakeholder advisory council will codesign future alternative treatments and guide experimental changes in this long-term experiment. Stakeholder engagement efforts revealed research priorities centered on financial strength, carbon (C) and greenhouse gas emissions, and water quality. Stakeholders are also interested in testing emerging technology such as the utility of virtual fencing. Results from ABS-UF provide a unique perspective from subtropical humid grazing lands for continental-scale cross-site synthesis on sustainable agroecosystems across LTAR.
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Affiliation(s)
| | - Maria L Silveira
- Range Cattle Research and Education Center, University of Florida, Ona, Florida, USA
| | - Hilary Swain
- Archbold Biological Station, Venus, Florida, USA
| | - Alia DeLong
- Archbold Biological Station, Venus, Florida, USA
| | | | - Shefali Azad
- Archbold Biological Station, Venus, Florida, USA
| | - Rosvel Bracho
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, Florida, USA
| | - Amartya Saha
- Archbold Biological Station, Venus, Florida, USA
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Wilhelm de Almeida L, Pastenes C, Ojeda H, Torregrosa L, Pellegrino A. Water deficit differentially modulates leaf photosynthesis and transpiration of fungus-tolerant Muscadinia x Vitis hybrids. FRONTIERS IN PLANT SCIENCE 2024; 15:1405343. [PMID: 38817935 PMCID: PMC11137165 DOI: 10.3389/fpls.2024.1405343] [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: 03/22/2024] [Accepted: 04/30/2024] [Indexed: 06/01/2024]
Abstract
Screening for drought performance among novel fungi-tolerant grapevine genotypes is a key point to consider in semiarid regions where water scarcity is a common problem during fruit ripening period. It is therefore important to evaluate the genotypes' responses at the level of carbon metabolism and water demand, under water deficit conditions. This study aimed to characterize leaf and plant water use efficiency (respectively named WUEi and WUEpl) of novel INRAE fungi-tolerant genotypes (including LowSugarBerry (LSB) genotypes), under mild and high-water deficit (WD) and to decipher the photosynthetic parameters leading to higher WUEi. For this purpose, experiments were conducted on potted plants during one season using a phenotyping platform. Two stabilized soil moisture capacity (SMC) conditions, corresponding to mild (SMC 0.6) and high (SMC 0.3) WD, were imposed from the onset of berry ripening until the physiological ripeness stage, which was defined as the point at which fruits reach their maximum solutes and water content. At the whole plant level, all genotypes increased WUEpl under high WD. The highest WUEpl was reached for 3176N, which displayed both a high rate of non-structural carbon accumulation in fruits due to high fruit-to-leaf ratio and low plant transpiration because of low total leaf area. However, when normalizing the fruit-to-leaf ratio among the genotypes, G14 reached the highest normalized WUEpl_n under high WD. At the leaf level, WUEi also increased under high WD, with the highest value attained for G14 and 3176N and the lowest value for Syrah. The higher WUEi values for all genotypes compared to Syrah were associated to higher levels of photosynthesis and changes in light-harvesting efficiency parameters (ΦCO2, qP and qN), while no clear trend was apparent when considering the photosynthetic biochemical parameters (Vcmax, Jmax). Finally, a positive correlation between leaf and plant WUE was observed regardless of genotypes. This study allowed us to classify grapevine genotypes based on their grapes primary metabolite accumulation and water consumption during the critical sugar-loading period. Additionally, the study highlighted the potential drought adaptation mechanism of the LSB genotypes.
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Affiliation(s)
- Luciana Wilhelm de Almeida
- UE Pech Rouge, Univ Montpellier, INRAE, Gruissan, France
- UMR LEPSE, Univ Montpellier, INRAE, CIRAD, Institut Agro Montpellier, Montpellier, France
| | - Claudio Pastenes
- Departamento de Producción Agrícola, Facultad de Ciencias Agronómicas, Universidad de Chile, Santiago, Chile
| | - Hernán Ojeda
- UE Pech Rouge, Univ Montpellier, INRAE, Gruissan, France
| | - Laurent Torregrosa
- UE Pech Rouge, Univ Montpellier, INRAE, Gruissan, France
- UMR LEPSE, Univ Montpellier, INRAE, CIRAD, Institut Agro Montpellier, Montpellier, France
| | - Anne Pellegrino
- UMR LEPSE, Univ Montpellier, INRAE, CIRAD, Institut Agro Montpellier, Montpellier, France
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Yang X, Zhang K, Qi Z, Shaghaleh H, Gao C, Chang T, Zhang J, Hamoud YA. Field Examinations on the Application of Novel Biochar-Based Microbial Fertilizer on Degraded Soils and Growth Response of Flue-Cured Tobacco ( Nicotiana tabacum L.). PLANTS (BASEL, SWITZERLAND) 2024; 13:1328. [PMID: 38794400 PMCID: PMC11125685 DOI: 10.3390/plants13101328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 05/26/2024]
Abstract
Southwestern China is receiving excessive chemical fertilizers to meet the challenges of continuous cropping. These practices are deteriorating the soil environment and affecting tobacco (Nicotiana tabacum L.) yield and quality adversely. A novel microbially enriched biochar-based fertilizer was synthesized using effective microorganisms, tobacco stalk biochar and basal fertilizer. A field-scale study was conducted to evaluate the yield response of tobacco grown on degraded soil amended with our novel biochar-based microbial fertilizer (BF). Four treatments of BF (0%, 1.5%, 2.5% and 5%) were applied in the contaminated field to grow tobacco. The application of BF1.5, BF2.5 and BF5.0 increased the available water contents by 9.47%, 1.18% and 2.19% compared to that with BF0 respectively. Maximum growth of tobacco in terms of plant height and leaf area was recorded for BF1.5 compared to BF0. BF1.5, BF2.5 and BF5.0 increased SPAD by 13.18-40.53%, net photosynthetic rate by 5.44-60.42%, stomatal conductance by 8.33-44.44%, instantaneous water use efficiency by 55.41-93.24% and intrinsic water use efficiency by 0.09-24.11%, while they decreased the intercellular CO2 concentration and transpiration rate by 3.85-6.84% and 0.29-47.18% relative to BF0, respectively (p < 0.05). The maximum increase in tobacco yield was recorded with BF1.5 (23.81%) compared to that with BF0. The present study concludes that the application of BF1.5 improves and restores the degraded soil by improving the hydraulic conductivity and by increasing the tobacco yield.
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Affiliation(s)
- Xu Yang
- College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China; (X.Y.); (Y.A.H.)
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210024, China
- China Meteorological Administration Hydro-Meteorology Key Laboratory, Hohai University, Nanjing 210024, China
| | - Ke Zhang
- College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China; (X.Y.); (Y.A.H.)
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210024, China
- China Meteorological Administration Hydro-Meteorology Key Laboratory, Hohai University, Nanjing 210024, China
- Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210024, China
- Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 210024, China
| | - Zhiming Qi
- Department of Bioresource Engineering, McGill University, Montreal, QC H9X 3V9, Canada;
| | - Hiba Shaghaleh
- College of Environment, Hohai University, Nanjing 210024, China;
| | - Chao Gao
- Institute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450052, China;
| | - Tingting Chang
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; (T.C.); (J.Z.)
| | - Jie Zhang
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; (T.C.); (J.Z.)
| | - Yousef Alhaj Hamoud
- College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China; (X.Y.); (Y.A.H.)
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210024, China
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Chatterjee D, Singh PK, Singh D, Singh VP. A novel partitioning of gross primary production and water use efficiency for sustaining water and food security using Budyko hypothesis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169283. [PMID: 38110096 DOI: 10.1016/j.scitotenv.2023.169283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 12/06/2023] [Accepted: 12/09/2023] [Indexed: 12/20/2023]
Abstract
This study coupled the green water and blue water accounting with the existing standard Budyko framework and Fu's 1-parameter Budyko framework to diagnose the basin hydrological behavior. Both Budyko frameworks were employed to determine green water consumption (ETGreen) and blue water consumption (ETBlue) which, in turn, were used to map the blue water index (BWI) hotspots and green water index (GWI) bright spots. The relative contributions of green water and blue water were quantified for sustaining water and food security. A new methodology is proposed using BWI and GWI for partitioning the Gross Primary Production (GPP) and Water Use Efficiency (WUE) into GPPBlue, GPPGreen and WUEBlue and WUEGreen. The methodology was applied to five sub-basins of the Central Godavari River Basin (CGRB): Purna, Dhalegaon, GR Bridge, Yeli and Delta. Results showed that all five basins exhibited larger deviations from the theoretical Budyko curve of Fu's 1-parameter Budyko framework than did the standard Budyko framework and the Dhalegaon basin showed the largest deviations. The partitioning of GPP and WUE by the proposed methodology showed that the proportion of GPPGreen to the total GPP was much higher than that of the GPPBlue. Similarly, the proportion of WUEGreen to WUE was more than that of WUEBlue. The mapping of GPPBlue and GPPGreen, and WUEBlue and WUEGreen showed that the Delta and Yeli basins had the highest values of both GPPGreen & GPPBlue and WUEBlue and WUEGreen (bright spot basins) and the Dhalegaon and parts of GR Bridge basin had the lowest values (hot spot basins). The proposed partitioning of GPP and WUE will help identify the relative contributions of green water and blue water (for managing agricultural waters) and formulate agronomical and engineering practices for stakeholders and policy makers for increasing the overall WUE and GPP to sustain water and food security.
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Affiliation(s)
- Debrupa Chatterjee
- Symbiosis Institute of Geo-informatics, Symbiosis International (Deemed University), Pune 411016, India
| | - Pushpendra Kumar Singh
- Water Resources Systems Division, National Institute of Hydrology, Roorkee 247667, India
| | - Dharmaveer Singh
- Symbiosis Institute of Geo-informatics, Symbiosis International (Deemed University), Pune 411016, India.
| | - Vijay P Singh
- Department of Biological & Agricultural Engineering, Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX 77843-2117, USA
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Liang C, Zhang M, Wang Z, Xiang X, Gong H, Wang K, Liu H. The strengthened impact of water availability at interannual and decadal time scales on vegetation GPP. GLOBAL CHANGE BIOLOGY 2024; 30:e17138. [PMID: 38273499 DOI: 10.1111/gcb.17138] [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: 09/07/2023] [Revised: 12/08/2023] [Accepted: 12/08/2023] [Indexed: 01/27/2024]
Abstract
Water availability (WA) is a key factor influencing the carbon cycle of terrestrial ecosystems under climate warming, but its effects on gross primary production (EWA-GPP ) at multiple time scales are poorly understood. We used ensemble empirical mode decomposition (EEMD) and partial correlation analysis to assess the WA-GPP relationship (RWA-GPP ) at different time scales, and geographically weighted regression (GWR) to analyze their temporal dynamics from 1982 to 2018 with multiple GPP datasets, including near-infrared radiance of vegetation GPP, FLUXCOM GPP, and eddy covariance-light-use efficiency GPP. We found that the 3- and 7-year time scales dominated global WA variability (61.18% and 11.95%), followed by the 17- and 40-year time scales (7.28% and 8.23%). The long-term trend also influenced 10.83% of the regions, mainly in humid areas. We found consistent spatiotemporal patterns of the EWA-GPP and RWA-GPP with different source products: In high-latitude regions, RWA-GPP changed from negative to positive as the time scale increased, while the opposite occurred in mid-low latitudes. Forests had weak RWA-GPP at all time scales, shrublands showed negative RWA-GPP at long time scales, and grassland (GL) showed a positive RWA-GPP at short time scales. Globally, the EWA-GPP , whether positive or negative, enhanced significantly at 3-, 7-, and 17-year time scales. For arid and humid zones, the semi-arid and sub-humid zones experienced a faster increase in the positive EWA-GPP , whereas the humid zones experienced a faster increase in the negative EWA-GPP . At the ecosystem types, the positive EWA-GPP at a 3-year time scale increased faster in GL, deciduous broadleaf forest, and savanna (SA), whereas the negative EWA-GPP at other time scales increased faster in evergreen needleleaf forest, woody savannas, and SA. Our study reveals the complex and dynamic EWA-GPP at multiple time scales, which provides a new perspective for understanding the responses of terrestrial ecosystems to climate change.
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Affiliation(s)
- Chuanzhuang Liang
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China
- College of Geography Science, Nanjing Normal University, Nanjing, China
| | - Mingyang Zhang
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
- Institutional Center for Shared Technologies and Facilities of Institute of Subtropical Agriculture, CAS, Changsha, China
- Huanjiang Observation and Research Station for Karst Ecosystems, Chinese Academy of Sciences, Huanjiang, China
| | - Zheng Wang
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China
- College of Geography Science, Nanjing Normal University, Nanjing, China
- Jiangsu Key Laboratory of Ocean-Land Environmental Change and Ecological Construction, Nanjing Normal University, Nanjing, China
- State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing Normal University, Nanjing, China
- Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China
| | - Xueqiao Xiang
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China
- College of Geography Science, Nanjing Normal University, Nanjing, China
- Jiangsu Key Laboratory of Ocean-Land Environmental Change and Ecological Construction, Nanjing Normal University, Nanjing, China
- State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing Normal University, Nanjing, China
- Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China
| | - Haibo Gong
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China
- College of Geography Science, Nanjing Normal University, Nanjing, China
- Jiangsu Key Laboratory of Ocean-Land Environmental Change and Ecological Construction, Nanjing Normal University, Nanjing, China
- State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing Normal University, Nanjing, China
- Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China
| | - Kelin Wang
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
- Institutional Center for Shared Technologies and Facilities of Institute of Subtropical Agriculture, CAS, Changsha, China
| | - Huiyu Liu
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China
- College of Geography Science, Nanjing Normal University, Nanjing, China
- Jiangsu Key Laboratory of Ocean-Land Environmental Change and Ecological Construction, Nanjing Normal University, Nanjing, China
- State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing Normal University, Nanjing, China
- Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China
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