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Mamun MAA, Li J, Cui A, Chowdhury R, Hossain ML. Climate-adaptive strategies for enhancing agricultural resilience in southeastern coastal Bangladesh: Insights from farmers and stakeholders. PLoS One 2024; 19:e0305609. [PMID: 38905289 PMCID: PMC11192385 DOI: 10.1371/journal.pone.0305609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 06/03/2024] [Indexed: 06/23/2024] Open
Abstract
Climate change impacts crop production worldwide, and coastal regions are particularly vulnerable to its adverse effects. Given the projected rise in temperature and shifting precipitation patterns, it is crucial to examine the current challenges faced by farmers in coastal Bangladesh. Using Focus Group Discussions (FGDs) and Key Informant Interviews (KIIs), we assessed the perceptions and experiences of farmers and stakeholders regarding the existing agricultural practices, the challenges they face in crop cultivation, and the adoption of climate-adaptive practices in 2 sub-districts in the southeastern coastal region of Bangladesh. Moreover, using the Standardized Precipitation Evapotranspiration Index (SPEI) and the Standardized Terrestrial Water Storage Index (STI), we assessed the frequency and intensity of different climatic conditions in these two sub-districts. Results show that 100% of the respondents reported an increase in dry climatic conditions, the occurrence of untimely precipitation, and a decline in irrigation water during the cropping season. All the respondents in the FGDs expressed a loss of crop production because of these climate-induced disturbances. Despite these challenges, farmers have been implementing several climate-adaptive practices. Among the 9 mentioned climate-adaptive practices, 50% of FGD respondents utilize organic fertilizers, 42% cultivate heat- and drought-resilient crop varieties, use improved irrigation and harvest rainwater, and 25% cultivate integrated crops. The results of quantitative analysis of 3- and 6-month SPEI and STI values show that this region experienced frequent and intense dry climatic conditions during the growing-season, which supports the farmers' and stakeholders' concern about the increasing occurrence of droughts during crop growing periods. The results suggest that despite adopting climate-resilient practices under increasing growing-season droughts, farmers require support from the government and NGOs in capacity-building training and input support (e.g., stress-resilient seeds). This study holds practical implications for government, NGOs, and policymakers for ensuring sustainable agricultural productivity in the coastal region of Bangladesh.
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Affiliation(s)
- Md. Abdullah Al Mamun
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
- Department of Food Technology and Nutrition Science, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Jianfeng Li
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
| | - Aihong Cui
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
| | - Raihana Chowdhury
- Department of Food Technology and Nutrition Science, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Md. Lokman Hossain
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
- Department of Environment Protection Technology, German University Bangladesh, Gazipur, Bangladesh
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Assa BG, Bhowmick A, Cholo BE. Assessing Nitrate Leaching and Runoff Coefficients in the Dynamic Interplay of Seasonal Crop Biomass: A Study of Surface and Groundwater Nitrate Contamination in the Bilate Cropland Watershed. ENVIRONMENTAL ADVANCES 2024:100528. [DOI: https:/doi.org/10.1016/j.envadv.2024.100528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/15/2024]
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Yin T, Zhai Y, Zhang Y, Yang W, Dong J, Liu X, Fan P, You C, Yu L, Gao Q, Wang H, Zheng P, Wang R. Impacts of climate change and human activities on vegetation coverage variation in mountainous and hilly areas in Central South of Shandong Province based on tree-ring. FRONTIERS IN PLANT SCIENCE 2023; 14:1158221. [PMID: 37342129 PMCID: PMC10277696 DOI: 10.3389/fpls.2023.1158221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/09/2023] [Indexed: 06/22/2023]
Abstract
Introduction It is of great significance to understand the characteristics and influencing factors of vegetation coverage variation in the warm temperate zone. As a typical region of the warm temperate zone in eastern China, the mountainous and hilly region in central-south Shandong Province has fragile ecological environment and soil erosion problem. Studying on vegetation dynamics and its influencing factors in this region will help to better understand the relationship between climate change and vegetation cover change in the warm temperate zone of eastern China, and the influence of human activities on vegetation cover dynamics. Methods Based on dendrochronology, a standard tree-ring width chronology was established in the mountainous and hilly region of central-south Shandong Province, and the vegetation coverage from 1905 to 2020 was reconstructed to reveal the dynamic change characteristics of vegetation cover in this region. Secondly, the influence of climate factors and human activities on the dynamic change of vegetation cover was discussed through correlation analysis and residual analysis. Results and discussion In the reconstructed sequence, 23 years had high vegetation coverage and 15 years had low vegetation coverage. After low-pass filtering, the vegetation coverage of 1911-1913, 1945-1951, 1958-1962, 1994-1996, and 2007-2011 was relatively high, while the vegetation coverage of 1925-1927, 1936-1942, 2001-2003, and 2019-2020 was relatively low. Although precipitation determined the variation of vegetation coverage in this study area, the impacts of human activities on the change of vegetation coverage in the past decades cannot be ignored. With the development of social economy and the acceleration of urbanization, the vegetation coverage declined. Since the beginning of the 21st century, ecological projects such as Grain-for-Green have increased the vegetation coverage.
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Affiliation(s)
- Tingting Yin
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Yinuo Zhai
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Yan Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Wenjun Yang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Jinbin Dong
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Huankeyuan Environmental Testing Co., Ltd., Jinan, China
| | - Xiao Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peixian Fan
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Chao You
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Linqian Yu
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Qun Gao
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
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Hossain ML, Li J, Lai Y, Beierkuhnlein C. Long-term evidence of differential resistance and resilience of grassland ecosystems to extreme climate events. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:734. [PMID: 37231126 DOI: 10.1007/s10661-023-11269-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 04/19/2023] [Indexed: 05/27/2023]
Abstract
Grassland ecosystems are affected by the increasing frequency and intensity of extreme climate events (e.g., droughts). Understanding how grassland ecosystems maintain their functioning, resistance, and resilience under climatic perturbations is a topic of current concern. Resistance is the capacity of an ecosystem to withstand change against extreme climate, while resilience is the ability of an ecosystem to return to its original state after a perturbation. Using the growing season Normalized Difference Vegetation Index (NDVIgs, an index of vegetation growth) and the Standardized Precipitation Evapotranspiration Index (a drought index), we evaluated the response, resistance, and resilience of vegetation to climatic conditions for alpine grassland, grass-dominated steppe, hay meadow, arid steppe, and semi-arid steppe in northern China for the period 1982-2012. The results show that NDVIgs varied significantly across these grasslands, with the highest (lowest) NDVIgs values in alpine grassland (semi-arid steppe). We found increasing trends of greenness in alpine grassland, grass-dominated steppe, and hay meadow, while there were no detectable changes of NDVIgs in arid and semi-arid steppes. NDVIgs decreased with increasing dryness from extreme wet to extreme dry. Alpine and steppe grasslands exhibited higher resistance to and lower resilience after extreme wet, while lower resistance to and higher resilience after extreme dry conditions. No significant differences in resistance and resilience of hay meadow under climatic conditions suggest the stability of this grassland under climatic perturbations. This study concludes that highly resistant grasslands under conditions of water surplus are low resilient, but low resistant ecosystems under conditions of water shortage are highly resilient.
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Affiliation(s)
- Md Lokman Hossain
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
- Department of Biogeography, University of Bayreuth, Universitätsstraße 30, 95447, Bayreuth, Germany
- Department of Environment Protection Technology, German University Bangladesh, Gazipur, Bangladesh
| | - Jianfeng Li
- Department of Geography, Hong Kong Baptist University, Hong Kong, China.
- Institute for Research and Continuing Education, Hong Kong Baptist University, Shenzhen, China.
| | - Yangchen Lai
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
| | - Carl Beierkuhnlein
- Department of Biogeography, University of Bayreuth, Universitätsstraße 30, 95447, Bayreuth, Germany
- BayCEER, Bayreuth Center for Ecology and Environmental Research, Universitätsstr. 30, 95447, Bayreuth, Germany
- GIB, Geographical Institute Bayreuth, Universitätsstr. 30, 95447, Bayreuth, Germany
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Li C, Zhang R, Li T, Guo H, Guo R. Dynamic Changes and Influencing Factors of Vegetation in the "Green Heart" Zone of the Chang-Zhu-Tan Urban Agglomeration during the Past 21 Years. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4517. [PMID: 36901526 PMCID: PMC10001680 DOI: 10.3390/ijerph20054517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 02/05/2023] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
As a policy, protected green space in the rapidly developing the Chang-Zhu-Tan Urban Agglomeration is of great practical significance to study the vegetation changes and influencing factors in the Green Heart area. In this paper, data processing, grading and area statistics were carried out for the maximum value of normalized differential vegetation index (NDVI) from 2000 to 2020. Combined with Theil-Sen median trend analysis and Mann-Kendall, the change trend of long-time series NDVI was studied, and investigation of NDVI influencing factors, processes and mechanisms using geographical detectors. The results showed that: (1) The spatial distribution characteristics of NDVI in the study area were high in the middle and inlaid transition between adjacent grades. Except for the low grades, the distribution of NDVI in other grades was relatively scattered, and the overall trend of NDVI change was rising. (2) Population density was the main factor affecting NDVI changes, with an explanatory power of up to 40%, followed by elevation, precipitation and minimum temperature. (3) The influence of influencing factors on the change of NDVI was not the result of independent action of a single factor, but the result of the interaction between human factors and natural factors, and the factor combinations with greater interaction had significant differences in the spatial distribution of NDVI.
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Affiliation(s)
- Chaokui Li
- Hunan Provincial Key Laboratory of Information Engineering for Surveying, Hunan University of Science and Technology, Xiangtan 411201, China
- National and Local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China
| | - Rui Zhang
- Hunan Provincial Key Laboratory of Information Engineering for Surveying, Hunan University of Science and Technology, Xiangtan 411201, China
- National and Local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China
- College of Earth Science and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
| | - Ting Li
- Hunan Provincial Key Laboratory of Information Engineering for Surveying, Hunan University of Science and Technology, Xiangtan 411201, China
- National and Local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China
- College of Architecture and Artistic Design, Hunan University of Science and Technology, Xiangtan 411201, China
| | - Haibin Guo
- Hunan Provincial Key Laboratory of Information Engineering for Surveying, Hunan University of Science and Technology, Xiangtan 411201, China
- National and Local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China
- College of Earth Science and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
| | - Ruirong Guo
- Hunan Provincial Key Laboratory of Information Engineering for Surveying, Hunan University of Science and Technology, Xiangtan 411201, China
- National and Local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China
- College of Earth Science and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
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Zhou H, Hou L, Lv X, Yang G, Wang Y, Wang X. Compensatory growth as a response to post-drought in grassland. FRONTIERS IN PLANT SCIENCE 2022; 13:1004553. [PMID: 36531403 PMCID: PMC9752846 DOI: 10.3389/fpls.2022.1004553] [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: 07/27/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
Grasslands are structurally and functionally controlled by water availability. Ongoing global change is threatening the sustainability of grassland ecosystems through chronic alterations in climate patterns and resource availability, as well as by the increasing frequency and intensity of anthropogenic perturbations. Compared with many studies on how grassland ecosystems respond during drought, there are far fewer studies focused on grassland dynamics after drought. Compensatory growth, as the ability of plants to offset the adverse effects of environmental or anthropogenic perturbations, is a common phenomenon in grassland. However, compensatory growth induced by drought and its underlying mechanism across grasslands remains not clear. In this review, we provide examples of analogous compensatory growth from different grassland types across drought characteristics (intensity, timing, and duration) and explain the effect of resource availability on compensatory growth and their underlying mechanisms. Based on our review of the literature, a hypothetic framework for integrating plant, root, and microbial responses is also proposed to increase our understanding of compensatory growth after drought. This research will advance our understanding of the mechanisms of grassland ecosystem functioning in response to climate change.
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Affiliation(s)
- Huailin Zhou
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China
| | - Lulu Hou
- Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaomin Lv
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China
| | - Guang Yang
- College of Teacher Education, Capital Normal University, Beijing, China
| | - Yuhui Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Xu Wang
- Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China
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Understanding the Long-Term Vegetation Dynamics of North Korea and Their Impact on the Thermal Environment. FORESTS 2022. [DOI: 10.3390/f13071053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In response to widespread deforestation, North Korea has restored forests through national policy over the past 10 years. Here, the entire process of forest degradation and restoration was evaluated through satellite-based vegetation monitoring, and its effects were also investigated. The vegetation dynamics of North Korea were characterized from 1986 to 2021 using the Landsat satellite 5–7, after which we evaluated the effect of vegetation shifts through changes in surface temperature since the 2000s. Vegetation greenness decreased significantly from the 1980s to the 2000s but increased in recent decades due to forest restoration. During the deforestation period, vegetation in all areas of North Korea tended to decrease, which was particularly noticeable in the provinces of Pyongannam-do and Hamgyongnam-do. During the forest restoration period, increases in vegetation greenness were evident in most regions except for some high-mountainous and developing regions, and the most prominent increase was seen in Pyongyang and Pyongannam-do. According to satellite-based analyses, the land surface temperature exhibited a clear upward trend (average slope = 0.13). However, large regional differences were identified when the analysis was shortened to encompass only the last 10 years. Particularly, the correlation between the area where vegetation improved and the area where the surface temperature decreased was high (−0.32). Moreover, the observed atmospheric temperature increased due to global warming, but only the surface temperature exhibited a decreasing trend, which could be understood by the effect of vegetation restoration. Our results suggest that forest restoration can affect various sectors beyond the thermal environment due to its role as an enhancer of ecosystem services.
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Dong J, Yin T, Liu H, Sun L, Qin S, Zhang Y, Liu X, Fan P, Wang H, Zheng P, Wang R. Vegetation Greenness Dynamics in the Western Greater Khingan Range of Northeast China Based on Dendrochronology. BIOLOGY 2022; 11:biology11050679. [PMID: 35625407 PMCID: PMC9138829 DOI: 10.3390/biology11050679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/26/2022] [Accepted: 04/26/2022] [Indexed: 11/16/2022]
Abstract
Understanding the vegetation greenness dynamics in the forest–steppe transition zone is essential for ecosystem management, and in order to study ecological changes in the region. This study provides a valuable record of the vegetation greenness dynamics in the western Greater Khingan Range over the past 193 years (1826–2018) based on tree-ring data represented by the normalized difference vegetation index (NDVI). The reconstructed vegetation greenness dynamics record contains a total of 32 years of high vegetation greenness and 37 years of low vegetation greenness, together occupying 35.8% of the entire reconstructed period (193 years). Climate (precipitation) is the main influence on the vegetation greenness dynamics at this site, but human activities have also had a significant impact over the last few decades. The magnitude, frequency, and duration of extreme changes in vegetation greenness dynamics have increased significantly, with progressively shorter intervals. Analyses targeting human behavior have shown that the density of livestock, agricultural land area, and total population have gradually increased, encroaching on forests and grasslands and reducing the inter-annual variability. After 2002, the government implemented projects to return farmland to its original ecosystems, and for the implementation of new land management practices (which are more ecologically related); as such, the vegetation conditions began to improve. These findings will help us to understand the relationship between climate change and inter- and intra- annual dynamics in northeastern China, and to better understand the impact of human activities on vegetation greenness dynamics.
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Affiliation(s)
- Jibin Dong
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Tingting Yin
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Hongxiang Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Lu Sun
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Siqi Qin
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Yang Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Xiao Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Peixian Fan
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
- Correspondence:
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
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Comparative Analysis of the NDVI and NGBVI as Indicators of the Protective Effect of Beneficial Bacteria in Conditions of Biotic Stress. PLANTS 2022; 11:plants11070932. [PMID: 35406912 PMCID: PMC9002474 DOI: 10.3390/plants11070932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 11/30/2022]
Abstract
Precision agriculture has the objective of improving agricultural yields and minimizing costs by assisting management with the use of sensors, remote sensing, and information technologies. There are several approaches to improving crop yields where remote sensing has proven to be an important methodology to determine agricultural maps to show surface differences which may be associated with many phenomena. Remote sensing utilizes a wide variety of image sensors that range from common RGB cameras to sophisticated, hyper-spectral image cameras which acquire images from outside the visible electromagnetic spectrum. The NDVI and NGBVI are computer vision vegetation index algorithms that perform operations from color masks such as red, green, and blue from RGB cameras and hyper-spectral masks such as near-infrared (NIR) to highlight surface differences in the image to detect crop anomalies. The aim of the present study was to determine the relationship of NDVI and NGBVI as plant health indicators in tomato plants (Solanum lycopersicum) treated with the beneficial bacteria Bacillus cereus-Amazcala (B. c-A) as a protective agent to cope with Clavibacter michiganensis subsp. michiganensis (Cmm) infections. The results showed that in the presence of B. c-A after infection with Cmm, NDVI and NGBVI can be used as markers of plant weight and the activation of the enzymatic activities related to plant defense induction.
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Hossain ML, Kabir MH, Nila MUS, Rubaiyat A. Response of grassland net primary productivity to dry and wet climatic events in four grassland types in Inner Mongolia. PLANT-ENVIRONMENT INTERACTIONS (HOBOKEN, N.J.) 2021; 2:250-262. [PMID: 37284512 PMCID: PMC10168099 DOI: 10.1002/pei3.10064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 09/11/2021] [Accepted: 09/27/2021] [Indexed: 06/08/2023]
Abstract
Increasing frequency and intensity of climate extremes have profound impacts on grassland biodiversity functioning and stability. Using Moderate Resolution Imaging Spectroradiometer (MODIS) net primary productivity (NPP) data and standardized precipitation evapotranspiration index, we assessed the response of NPP to growing-season and annual climate extremes and time-lag of climatic conditions across four grassland types (meadow steppe, typical steppe, steppe desert, and desert steppe) in Inner Mongolia, China from the period 2000 to 2019. Results showed that annual NPP varied significantly across four grassland types, with the highest NPP in meadow steppe and the lowest in desert steppe. Annual NPP of all grassland types increased over the past 20 years, but NPP in meadow steppe and typical steppe decreased for the period 2012-2019. Irrespective of grassland type, the 1- and 2-month time-lag of climatic conditions showed significant effects on annual NPP. Growing-season climate was found the better predictor of annual NPP in all grassland types than the annual climate. Compared with growing-season normal climates, annual NPP was lowest in extreme dry events in all grasslands, while highest in extreme wet events in meadow steppe and typical steppe, and in moderate wet events in steppe desert and desert steppe. Typical steppe and steppe desert are highly vulnerable to the increasing intensity of climate extremes, as we found that the losses of NPP in these grasslands in extreme dry were almost double than that of moderate dry events. Surprisingly, for meadow steppe and desert steppe, the losses of NPP for both moderate and extreme dry events were almost the same, which highlights that a low-intensity drought may have profound impacts on the annual NPP of these grasslands. The study provides the key insight in scientific basis to improve our understanding of the effects of climate extremes on grassland NPP, which is critical to sustainable management of grassland and maintain ecosystem stability.
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Affiliation(s)
- Md Lokman Hossain
- Department of Environment Protection TechnologyGerman University BangladeshGazipurBangladesh
- Department of GeographyHong Kong Baptist UniversityHong Kong
| | - Md Humayain Kabir
- Institute of Forestry and Environmental SciencesUniversity of ChittagongChittagongBangladesh
- Wegener Center for Climate and Global ChangeUniversity of GrazGrazAustria
| | - Mst Umme Salma Nila
- CEN Centre for Earth System Research and SustainabilityInstitute of GeographyUniversity of HamburgHamburgGermany
| | - Ashik Rubaiyat
- Burckhardt Institute, Tropical Silviculture and Forest Ecology, Faculty of Forest Sciences and Forest EcologyUniversity of GöttingenGöttingenGermany
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