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Bitella G, Bochicchio R, Castronuovo D, Lovelli S, Mercurio G, Rivelli AR, Rosati L, D’Antonio P, Casiero P, Laghetti G, Amato M, Rossi R. Monitoring Plant Height and Spatial Distribution of Biometrics with a Low-Cost Proximal Platform. Plants (Basel) 2024; 13:1085. [PMID: 38674495 PMCID: PMC11053701 DOI: 10.3390/plants13081085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/04/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024]
Abstract
Measuring canopy height is important for phenotyping as it has been identified as the most relevant parameter for the fast determination of plant mass and carbon stock, as well as crop responses and their spatial variability. In this work, we develop a low-cost tool for measuring plant height proximally based on an ultrasound sensor for flexible use in static or on-the-go mode. The tool was lab-tested and field-tested on crop systems of different geometry and spacings: in a static setting on faba bean (Vicia faba L.) and in an on-the-go setting on chia (Salvia hispanica L.), alfalfa (Medicago sativa L.), and wheat (Triticum durum Desf.). Cross-correlation (CC) or a dynamic time-warping algorithm (DTW) was used to analyze and correct shifts between manual and sensor data in chia. Sensor data were able to reproduce with minor shifts in canopy profile and plant status indicators in the field when plant heights varied gradually in narrow-spaced chia (R2 = 0.98), faba bean (R2 = 0.96), and wheat (R2 = up to 0.99). Abrupt height changes resulted in systematic errors in height estimation, and short-scale variations were not well reproduced (e.g., R2 in widely spaced chia was 0.57 to 0.66 after shifting based on CC or DTW, respectively)). In alfalfa, ultrasound data were a better predictor than NDVI (Normalized Difference Vegetation Index) for Leaf Area Index and biomass (R2 from 0.81 to 0.84). Maps of ultrasound-determined height showed that clusters were useful for spatial management. The good performance of the tool both in a static setting and in the on-the-go setting provides flexibility for the determination of plant height and spatial variation of plant responses in different conditions from natural to managed systems.
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Affiliation(s)
- Giovanni Bitella
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy; (G.B.); (R.B.); (D.C.); (S.L.); (G.M.); (A.R.R.); (L.R.); (P.D.)
| | - Rocco Bochicchio
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy; (G.B.); (R.B.); (D.C.); (S.L.); (G.M.); (A.R.R.); (L.R.); (P.D.)
| | - Donato Castronuovo
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy; (G.B.); (R.B.); (D.C.); (S.L.); (G.M.); (A.R.R.); (L.R.); (P.D.)
| | - Stella Lovelli
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy; (G.B.); (R.B.); (D.C.); (S.L.); (G.M.); (A.R.R.); (L.R.); (P.D.)
| | - Giuseppe Mercurio
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy; (G.B.); (R.B.); (D.C.); (S.L.); (G.M.); (A.R.R.); (L.R.); (P.D.)
| | - Anna Rita Rivelli
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy; (G.B.); (R.B.); (D.C.); (S.L.); (G.M.); (A.R.R.); (L.R.); (P.D.)
| | - Leonardo Rosati
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy; (G.B.); (R.B.); (D.C.); (S.L.); (G.M.); (A.R.R.); (L.R.); (P.D.)
| | - Paola D’Antonio
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy; (G.B.); (R.B.); (D.C.); (S.L.); (G.M.); (A.R.R.); (L.R.); (P.D.)
| | - Pierluigi Casiero
- Department of European and Mediterranean Cultures, Environment, and Cultural Heritage, University of Basilicata, 85100 Potenza, Italy;
| | - Gaetano Laghetti
- Istituto di Bioscienze e BioRisorse (CNR-IBBR), Consiglio Nazionale delle Ricerche, 80055 Bari, Italy;
| | - Mariana Amato
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy; (G.B.); (R.B.); (D.C.); (S.L.); (G.M.); (A.R.R.); (L.R.); (P.D.)
| | - Roberta Rossi
- Research Centre for Animal Production and Aquaculture (CREA-ZA), Council for Agricultural Research and Economics, 81100 Bella Muro, Italy;
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2
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Uriarte M, Tang C, Morton DC, Zimmerman JK, Zheng T. 20th-Century hurricanes leave long-lasting legacies on tropical forest height and the abundance of a dominant wind-resistant palm. Ecol Evol 2023; 13:e10776. [PMID: 38020686 PMCID: PMC10680431 DOI: 10.1002/ece3.10776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 11/08/2023] [Accepted: 11/13/2023] [Indexed: 12/01/2023] Open
Abstract
Projected increases in hurricane intensity under a warming climate will have profound effects on many forest ecosystems. One key challenge is to disentangle the effects of wind damage from the myriad factors that influence forest structure and species distributions over large spatial scales. Here, we employ a novel machine learning framework with high-resolution aerial photos, and LiDAR collected over 115 km2 of El Yunque National Forest in Puerto Rico to examine the effects of topographic exposure to two hurricanes, Hugo (1989) and Georges (1998), and several landscape-scale environmental factors on the current forest height and abundance of a dominant, wind-resistant species, the palm Prestoea acuminata var. montana. Model predictions show that the average density of the palm was 32% greater while the canopy height was 20% shorter in forests exposed to the two storms relative to unexposed areas. Our results demonstrate that hurricanes have lasting effects on forest canopy height and composition, suggesting the expected increase in hurricane severity with a warming climate will alter coastal forests in the North Atlantic.
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Affiliation(s)
- María Uriarte
- Department of Ecology Evolution & Environmental BiologyColumbia UniversityNew YorkNew YorkUSA
| | - Chengliang Tang
- Department of StatisticsColumbia UniversityNew YorkNew YorkUSA
| | - Douglas C. Morton
- Biospheric Sciences LaboratoryNASA Goddard Space Flight CenterGreenbeltMarylandUSA
| | - Jess K. Zimmerman
- Department of Environmental SciencesUniversidad de Puerto RicoSan JuanPuerto RicoUSA
| | - Tian Zheng
- Department of StatisticsColumbia UniversityNew YorkNew YorkUSA
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3
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Zhai J, Zhang X, Li Z, Han X, Zhang S. Differences in the Functional Traits of Populus pruinosa Leaves in Different Developmental Stages. Plants (Basel) 2023; 12:2262. [PMID: 37375887 DOI: 10.3390/plants12122262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/03/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023]
Abstract
Populus pruinosa Schrenk has the biological characteristics of heteromorphic leaves and is a pioneer species for wind prevention and sand fixation. The functions of heteromorphic leaves at different developmental stages and canopy heights of P. pruinosa are unclear. To clarify how developmental stages and canopy height affect the functional characteristics of leaves, this study evaluated the morphological anatomical structures and the physiological indicators of leaves at 2, 4, 6, 8, 10, and 12 m. The relationships of functional traits to the developmental stages and canopy heights of leaves were also analyzed. The results showed that blade length (BL), blade width (BW), leaf area (LA), leaf dry weight (LDW), leaf thickness (LT), palisade tissue thickness (PT), net photosynthetic rate (Pn), stomatal conductance (Gs), proline (Pro), and malondialdehyde (MDA) content increased with progressing developmental stages. BL, BW, LA, leaf dry weight, LT, PT, Pn, Gs, Pro, and the contents of MDA, indoleacetic acid, and zeatin riboside had significant positive correlations with canopy heights of leaves and their developmental stages. The morphological structures and physiological characteristics of P. pruinosa leaves showed more evident xeric structural characteristics and higher photosynthetic capacity with increasing canopy height and progressive developmental stages. Resource utilization efficiency and the defense ability against environmental stresses were improved through mutual regulation of each functional trait.
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Affiliation(s)
- Juntuan Zhai
- Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin of Xinjiang Production & Construction Corps, College of Life Science and Technology, Tarim University, Alar 843300, China
| | - Xiao Zhang
- Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin of Xinjiang Production & Construction Corps, College of Life Science and Technology, Tarim University, Alar 843300, China
| | - Zhijun Li
- Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin of Xinjiang Production & Construction Corps, College of Life Science and Technology, Tarim University, Alar 843300, China
| | - Xiaoli Han
- Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin of Xinjiang Production & Construction Corps, College of Life Science and Technology, Tarim University, Alar 843300, China
| | - Shanhe Zhang
- Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin of Xinjiang Production & Construction Corps, College of Life Science and Technology, Tarim University, Alar 843300, China
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Lamour J, Davidson KJ, Ely KS, Le Moguédec G, Anderson JA, Li Q, Calderón O, Koven CD, Wright SJ, Walker AP, Serbin SP, Rogers A. The effect of the vertical gradients of photosynthetic parameters on the CO 2 assimilation and transpiration of a Panamanian tropical forest. New Phytol 2023; 238:2345-2362. [PMID: 36960539 DOI: 10.1111/nph.18901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 03/14/2023] [Indexed: 05/19/2023]
Abstract
Terrestrial biosphere models (TBMs) include the representation of vertical gradients in leaf traits associated with modeling photosynthesis, respiration, and stomatal conductance. However, model assumptions associated with these gradients have not been tested in complex tropical forest canopies. We compared TBM representation of the vertical gradients of key leaf traits with measurements made in a tropical forest in Panama and then quantified the impact of the observed gradients on simulated canopy-scale CO2 and water fluxes. Comparison between observed and TBM trait gradients showed divergence that impacted canopy-scale simulations of water vapor and CO2 exchange. Notably, the ratio between the dark respiration rate and the maximum carboxylation rate was lower near the ground than at the top-of-canopy, leaf-level water-use efficiency was markedly higher at the top-of-canopy, and the decrease in maximum carboxylation rate from the top-of-canopy to the ground was less than TBM assumptions. The representation of the gradients of leaf traits in TBMs is typically derived from measurements made within-individual plants, or, for some traits, assumed constant due to a lack of experimental data. Our work shows that these assumptions are not representative of the trait gradients observed in species-rich, complex tropical forests.
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Affiliation(s)
- Julien Lamour
- Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Kenneth J Davidson
- Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, 11974, USA
| | - Kim S Ely
- Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Gilles Le Moguédec
- AMAP, Université Montpellier, INRAE, Cirad CNRS, IRD, Montpellier, 34000, France
| | - Jeremiah A Anderson
- Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Qianyu Li
- Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Osvaldo Calderón
- Smithsonian Tropical Research Institute, Balboa, 0843-03092, Republic of Panama
| | - Charles D Koven
- Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - S Joseph Wright
- Smithsonian Tropical Research Institute, Balboa, 0843-03092, Republic of Panama
| | - Anthony P Walker
- Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Shawn P Serbin
- Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Alistair Rogers
- Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA
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Xu C, Zhao D, Zheng Z, Zhao P, Chen J, Li X, Zhao X, Zhao Y, Liu W, Wu B, Zeng Y. Correction of UAV LiDAR-derived grassland canopy height based on scan angle. Front Plant Sci 2023; 14:1108109. [PMID: 37021312 PMCID: PMC10067768 DOI: 10.3389/fpls.2023.1108109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 03/03/2023] [Indexed: 06/19/2023]
Abstract
Grassland canopy height is a crucial trait for indicating functional diversity or monitoring species diversity. Compared with traditional field sampling, light detection and ranging (LiDAR) provides new technology for mapping the regional grassland canopy height in a time-saving and cost-effective way. However, the grassland canopy height based on unmanned aerial vehicle (UAV) LiDAR is usually underestimated with height information loss due to the complex structure of grassland and the relatively small size of individual plants. We developed canopy height correction methods based on scan angle to improve the accuracy of height estimation by compensating the loss of grassland height. Our method established the relationships between scan angle and two height loss indicators (height loss and height loss ratio) using the ground-measured canopy height of sample plots with 1×1m and LiDAR-derived heigh. We found that the height loss ratio considering the plant own height had a better performance (R2 = 0.71). We further compared the relationships between scan angle and height loss ratio according to holistic (25-65cm) and segmented (25-40cm, 40-50cm and 50-65cm) height ranges, and applied to correct the estimated grassland canopy height, respectively. Our results showed that the accuracy of grassland height estimation based on UAV LiDAR was significantly improved with R2 from 0.23 to 0.68 for holistic correction and from 0.23 to 0.82 for segmented correction. We highlight the importance of considering the effects of scan angle in LiDAR data preprocessing for estimating grassland canopy height with high accuracy, which also help for monitoring height-related grassland structural and functional parameters by remote sensing.
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Affiliation(s)
- Cong Xu
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Dan Zhao
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhaoju Zheng
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - Ping Zhao
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Junhua Chen
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiuwen Li
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xueming Zhao
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yujin Zhao
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Wenjun Liu
- School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, China
| | - Bingfang Wu
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yuan Zeng
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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Hu Y, Deng Y, Wang B, Zhou RH, Yuan SD, Li JS, Lu HZ, Lin LX. Effects of topography and historical disturbance on canopy height structure of tropical forests in Menglun, Xishuangbanna, China. Ying Yong Sheng Tai Xue Bao 2023; 34:597-604. [PMID: 37087641 DOI: 10.13287/j.1001-9332.202303.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/24/2023]
Abstract
With the combination of airborne Lidar and panchromatic images in 1981 and 2021, we investigated the canopy height structure of tropical forests in Menglun sub-reserve in the Xishuangbanna National Nature Reserve of Yunnan Province, and analyzed its relationship with environmental factors by using multiple regression tree (MRT) method. The results showed that forests in the Menglun sub-reserve could be clustered into seven types based on canopy height structures, with tropical rainforest, monsoon evergreen broad-leaved forest, secondary forest, and flood plain forest as the main types. The potential solar radiation, altitude, terrain profile curvature, slope and the brightness value of imageries in 1981 and 2021 were main factors that drove the classification. The tropical seasonal rainforest dominated by Pometia pinnata occupied the largest area in valley and low-land. The monsoon evergreen broad-leaved forest dominated by Castanopsis echinocarpa mainly distributed in the ridge and disturbed areas. The secondary forests had homogeneous canopy surface, which was significantly different from the primary forests. The activities of swidden agriculture about three decades ago had legacy impacts on the physiognomy of secondary forests.
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Affiliation(s)
- Yuan Hu
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China
| | - Yun Deng
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China
| | - Bo Wang
- Administration Bureau of Menglun, Xishuangbanna National Nature Reserve, Mengla 666303, Yunnan, China
| | - Rong-Hua Zhou
- Administration Bureau of Menglun, Xishuangbanna National Nature Reserve, Mengla 666303, Yunnan, China
| | - Sheng-Dong Yuan
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China
| | - Jun-Song Li
- Administration Bureau of Menglun, Xishuangbanna National Nature Reserve, Mengla 666303, Yunnan, China
| | - Hua-Zheng Lu
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China
| | - Lu-Xiang Lin
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China
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Taniguchi S, Sakamoto T, Imase R, Nonoue Y, Tsunematsu H, Goto A, Matsushita K, Ohmori S, Maeda H, Takeuchi Y, Ishii T, Yonemaru JI, Ogawa D. Prediction of heading date, culm length, and biomass from canopy-height-related parameters derived from time-series UAV observations of rice. Front Plant Sci 2022; 13:998803. [PMID: 36582650 PMCID: PMC9792801 DOI: 10.3389/fpls.2022.998803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
Unmanned aerial vehicles (UAVs) are powerful tools for monitoring crops for high-throughput phenotyping. Time-series aerial photography of fields can record the whole process of crop growth. Canopy height (CH), which is vertical plant growth, has been used as an indicator for the evaluation of lodging tolerance and the prediction of biomass and yield. However, there have been few attempts to use UAV-derived time-series CH data for field testing of crop lines. Here we provide a novel framework for trait prediction using CH data in rice. We generated UAV-based digital surface models of crops to extract CH data of 30 Japanese rice cultivars in 2019, 2020, and 2021. CH-related parameters were calculated in a non-linear time-series model as an S-shaped plant growth curve. The maximum saturation CH value was the most important predictor for culm length. The time point at the maximum CH contributed to the prediction of days to heading, and was able to predict stem and leaf weight and aboveground weight, possibly reflecting the association of biomass with duration of vegetative growth. These results indicate that the CH-related parameters acquired by UAV can be useful as predictors of traits typically measured by hand.
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Affiliation(s)
- Shoji Taniguchi
- Research Center for Agricultural Information Technology, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Toshihiro Sakamoto
- Institute for Agro-Environmental Sciences, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Ryoji Imase
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Yasunori Nonoue
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Hiroshi Tsunematsu
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Akitoshi Goto
- Research Center for Agricultural Information Technology, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Kei Matsushita
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Sinnosuke Ohmori
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Hideo Maeda
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Yoshinobu Takeuchi
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Takuro Ishii
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Jun-ichi Yonemaru
- Research Center for Agricultural Information Technology, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
| | - Daisuke Ogawa
- Institute of Crop Science, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan
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8
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Liu L, Chen X, Ciais P, Yuan W, Maignan F, Wu J, Piao S, Wang YP, Wigneron JP, Fan L, Gentine P, Yang X, Gong F, Liu H, Wang C, Tang X, Yang H, Ye Q, He B, Shang J, Su Y. Tropical tall forests are more sensitive and vulnerable to drought than short forests. Glob Chang Biol 2022; 28:1583-1595. [PMID: 34854168 DOI: 10.1111/gcb.16017] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 11/18/2021] [Accepted: 11/21/2021] [Indexed: 06/13/2023]
Abstract
Our limited understanding of the impacts of drought on tropical forests significantly impedes our ability in accurately predicting the impacts of climate change on this biome. Here, we investigated the impact of drought on the dynamics of forest canopies with different heights using time-series records of remotely sensed Ku-band vegetation optical depth (Ku-VOD), a proxy of top-canopy foliar mass and water content, and separated the signal of Ku-VOD changes into drought-induced reductions and subsequent non-drought gains. Both drought-induced reductions and non-drought increases in Ku-VOD varied significantly with canopy height. Taller tropical forests experienced greater relative Ku-VOD reductions during drought and larger non-drought increases than shorter forests, but the net effect of drought was more negative in the taller forests. Meta-analysis of in situ hydraulic traits supports the hypothesis that taller tropical forests are more vulnerable to drought stress due to smaller xylem-transport safety margins. Additionally, Ku-VOD of taller forests showed larger reductions due to increased atmospheric dryness, as assessed by vapor pressure deficit, and showed larger gains in response to enhanced water supply than shorter forests. Including the height-dependent variation of hydraulic transport in ecosystem models will improve the simulated response of tropical forests to drought.
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Affiliation(s)
- Liyang Liu
- Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
- Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China
- Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France
| | - Xiuzhi Chen
- Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France
| | - Wenping Yuan
- Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Fabienne Maignan
- Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France
| | - Jin Wu
- School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong
| | - Shilong Piao
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Ying-Ping Wang
- CSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia
| | | | - Lei Fan
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, China
| | - Pierre Gentine
- Department of Earth & Environmental Engineering, Columbia University, New York, New York, USA
| | - Xueqin Yang
- Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
- Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China
| | - Fanxi Gong
- Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Hui Liu
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Chen Wang
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Xuli Tang
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Hui Yang
- Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France
| | - Qing Ye
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Bin He
- State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
| | - Jiali Shang
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada
| | - Yongxian Su
- Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China
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9
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Vacari AM, Damato F, Dami BG, de Lima MLF, Lima LSMU, Figueiredo GP, Cabral EDO, Rodriguez-Saona C. Within-Canopy Distribution of Stenoma catenifer (Lepidoptera: Elachistidae) Infestation in Avocado Orchards. J Insect Sci 2021; 21:6372256. [PMID: 34536079 PMCID: PMC8449531 DOI: 10.1093/jisesa/ieab055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Indexed: 06/13/2023]
Abstract
Native to the neotropics, the avocado seed moth Stenoma catenifer Walsingham (Lepidoptera: Elachistidae) is a specialist pest of the family Lauraceae and considered one of the most important pests of avocados worldwide. However, little is known regarding its spatial distribution within a single tree. Therefore, we designed a study to evaluate the effects of canopy height and aspect (i.e., side of the tree) on fruit infestation by S. catenifer larvae in avocados. The study was conducted in three commercial organic avocado orchards located in São Paulo, Brazil. At each orchard, 40 fruit from 30 random trees were sampled weekly from October 2017 through February 2018, evaluating the number of fruits infested by S. catenifer larvae at three tree heights (bottom, middle, and top). In addition, fruits on the ground were also sampled. We also evaluated the effect of the side of the tree where the fruits were collected, i.e., whether they were on the side facing the east (sunrise) or the west (sunset). Within the avocado canopy, the level of fruit infestation by S. catenifer larvae was significantly higher at the top of the trees than in the middle and bottom. Fruit on the ground had lower levels of infestation than those on the tree canopy. The level of fruit infestation was also higher on the side of avocado trees facing the east (sunrise). Understanding the within-tree distribution of S. catenifer will help to better target monitoring and control activities against this pest in avocados.
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Affiliation(s)
- Alessandra M Vacari
- Laboratory of Entomology, Science and Animal Science Graduate Programs, University of Franca (UNIFRAN), Avenida Dr Armando Sales de Oliveira, 201, Parque Universitário, Franca, São Paulo, 14404-600, Brazil
| | - Felipe Damato
- Department of Entomology, Luiz de Queiroz College of Agriculture/University of Sao Paulo (ESALQ/USP), Avenida Pádua Dias 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Bruno Gomes Dami
- Laboratory of Entomology, Science and Animal Science Graduate Programs, University of Franca (UNIFRAN), Avenida Dr Armando Sales de Oliveira, 201, Parque Universitário, Franca, São Paulo, 14404-600, Brazil
| | - Mateus Levi Feliz de Lima
- Laboratory of Entomology, Science and Animal Science Graduate Programs, University of Franca (UNIFRAN), Avenida Dr Armando Sales de Oliveira, 201, Parque Universitário, Franca, São Paulo, 14404-600, Brazil
| | - Lucas S M Ubiali Lima
- Laboratory of Entomology, Science and Animal Science Graduate Programs, University of Franca (UNIFRAN), Avenida Dr Armando Sales de Oliveira, 201, Parque Universitário, Franca, São Paulo, 14404-600, Brazil
| | - Gustavo Pincerato Figueiredo
- Laboratory of Entomology, Science and Animal Science Graduate Programs, University of Franca (UNIFRAN), Avenida Dr Armando Sales de Oliveira, 201, Parque Universitário, Franca, São Paulo, 14404-600, Brazil
| | - Eder de Oliveira Cabral
- Laboratory of Entomology, Science and Animal Science Graduate Programs, University of Franca (UNIFRAN), Avenida Dr Armando Sales de Oliveira, 201, Parque Universitário, Franca, São Paulo, 14404-600, Brazil
| | - Cesar Rodriguez-Saona
- Department of Entomology, Rutgers University, P.E. Marucci Center, 125A Lake Oswego Road, Chatsworth, NJ 08019, USA
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10
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Ogawa D, Sakamoto T, Tsunematsu H, Kanno N, Nonoue Y, Yonemaru JI. Remote-Sensing-Combined Haplotype Analysis Using Multi-Parental Advanced Generation Inter-Cross Lines Reveals Phenology QTLs for Canopy Height in Rice. Front Plant Sci 2021; 12:715184. [PMID: 34721450 PMCID: PMC8553969 DOI: 10.3389/fpls.2021.715184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 09/13/2021] [Indexed: 05/13/2023]
Abstract
High-throughput phenotyping systems with unmanned aerial vehicles (UAVs) enable observation of crop lines in the field. In this study, we show the ability of time-course monitoring of canopy height (CH) to identify quantitative trait loci (QTLs) and to characterise their pleiotropic effect on various traits. We generated a digital surface model from low-altitude UAV-captured colour digital images and investigated CH data of rice multi-parental advanced generation inter-cross (MAGIC) lines from tillering and heading to maturation. Genome-wide association studies (GWASs) using the CH data and haplotype information of the MAGIC lines revealed 11 QTLs for CH. Each QTL showed haplotype effects on different features of CH such as stage-specificity and constancy. Haplotype analysis revealed relationships at the QTL level between CH and, vegetation fraction and leaf colour [derived from UAV red-green-blue (RGB) data], and CH and yield-related traits. Noticeably, haplotypes with canopy lowering effects at qCH1-4, qCH2, and qCH10-2 increased the ratio of panicle weight to leaf and stem weight, suggesting biomass allocation to grain yield or others through growth regulation of CH. Allele mining using gene information with eight founders of the MAGIC lines revealed the possibility that qCH1-4 contains multiple alleles of semi-dwarf 1 (sd1), the IR-8 allele of which significantly contributed to the "green revolution" in rice. This use of remote-sensing-derived phenotyping data into genetics using the MAGIC lines gives insight into how rice plants grow, develop, and produce grains in phenology and provides information on effective haplotypes for breeding with ideal plant architecture and grain yield.
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Affiliation(s)
- Daisuke Ogawa
- Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan
- *Correspondence: Daisuke Ogawa
| | - Toshihiro Sakamoto
- Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba, Japan
| | - Hiroshi Tsunematsu
- Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan
| | - Noriko Kanno
- Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan
| | - Yasunori Nonoue
- Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan
| | - Jun-ichi Yonemaru
- Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan
- Jun-ichi Yonemaru
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11
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Dandrifosse S, Bouvry A, Leemans V, Dumont B, Mercatoris B. Imaging Wheat Canopy Through Stereo Vision: Overcoming the Challenges of the Laboratory to Field Transition for Morphological Features Extraction. Front Plant Sci 2020; 11:96. [PMID: 32133023 PMCID: PMC7040167 DOI: 10.3389/fpls.2020.00096] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 01/22/2020] [Indexed: 05/22/2023]
Abstract
Stereo vision is a 3D imaging method that allows quick measurement of plant architecture. Historically, the method has mainly been developed in controlled conditions. This study identified several challenges to adapt the method to natural field conditions and propose solutions. The plant traits studied were leaf area, mean leaf angle, leaf angle distribution, and canopy height. The experiment took place in a winter wheat, Triticum aestivum L., field dedicated to fertilization trials at Gembloux (Belgium). Images were acquired thanks to two nadir cameras. A machine learning algorithm using RGB and HSV color spaces is proposed to perform soil-plant segmentation robust to light conditions. The matching between images of the two cameras and the leaf area computation was improved if the number of pixels in the image of a scene was binned from 2560 × 2048 to 1280 × 1024 pixels, for a distance of 1 m between the cameras and the canopy. Height descriptors such as median or 95th percentile of plant heights were useful to precisely compare the development of different canopies. Mean spike top height was measured with an accuracy of 97.1 %. The measurement of leaf area was affected by overlaps between leaves so that a calibration curve was necessary. The leaf area estimation presented a root mean square error (RMSE) of 0.37. The impact of wind on the variability of leaf area measurement was inferior to 3% except at the stem elongation stage. Mean leaf angles ranging from 53° to 62° were computed for the whole growing season. For each acquisition date during the vegetative stages, the variability of mean angle measurement was inferior to 1.5% which underpins that the method is precise.
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Affiliation(s)
- Sébastien Dandrifosse
- Biosystems Dynamics and Exchanges, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Arnaud Bouvry
- Biosystems Dynamics and Exchanges, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Vincent Leemans
- Biosystems Dynamics and Exchanges, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Benjamin Dumont
- Plant Sciences, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Benoît Mercatoris
- Biosystems Dynamics and Exchanges, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
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12
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Marchetti CF, Ugena L, Humplík JF, Polák M, Ćavar Zeljković S, Podlešáková K, Fürst T, De Diego N, Spíchal L. A Novel Image-Based Screening Method to Study Water-Deficit Response and Recovery of Barley Populations Using Canopy Dynamics Phenotyping and Simple Metabolite Profiling. Front Plant Sci 2019; 10:1252. [PMID: 31681365 PMCID: PMC6804369 DOI: 10.3389/fpls.2019.01252] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Accepted: 09/09/2019] [Indexed: 05/25/2023]
Abstract
Plant phenotyping platforms offer automated, fast scoring of traits that simplify the selection of varieties that are more competitive under stress conditions. However, indoor phenotyping methods are frequently based on the analysis of plant growth in individual pots. We present a reproducible indoor phenotyping method for screening young barley populations under water stress conditions and after subsequent rewatering. The method is based on a simple read-out of data using RGB imaging, projected canopy height, as a useful feature for indirectly following the kinetics of growth and water loss in a population of barley. A total of 47 variables including 15 traits and 32 biochemical metabolites measured (morphometric parameters, chlorophyll fluorescence imaging, quantification of stress-related metabolites; amino acids and polyamines, and enzymatic activities) were used to validate the method. The study allowed the identification of metabolites related to water stress response and recovery. Specifically, we found that cadaverine (Cad), 1,3-aminopropane (DAP), tryptamine (Tryp), and tyramine (Tyra) were the major contributors to the water stress response, whereas Cad, DAP, and Tyra, but not Tryp, remained at higher levels in the stressed plants even after rewatering. In this work, we designed, optimized and validated a non-invasive image-based method for automated screening of potential water stress tolerance genotypes in barley populations. We demonstrated the applicability of the method using transgenic barley lines with different sensitivity to drought stress showing that combining canopy height and the metabolite profile we can discriminate tolerant from sensitive genotypes. We showed that the projected canopy height a sensitive trait that truly reflects other invasively studied morphological, physiological, and metabolic traits and that our presented methodological setup can be easily applicable for large-scale screenings in low-cost systems equipped with a simple RGB camera. We believe that our approach will contribute to accelerate the study and understanding of the plant water stress response and recovery capacity in crops, such as barley.
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Affiliation(s)
- Cintia F. Marchetti
- Department of Molecular Biology, Centre of the Region of Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia
| | - Lydia Ugena
- Department of Chemical Biology and Genetics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia
| | - Jan F. Humplík
- Department of Chemical Biology and Genetics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia
| | - Michal Polák
- Department of Chemical Biology and Genetics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia
| | - Sanja Ćavar Zeljković
- Department of Phytochemistry, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia
- Department of Genetic Resources for Vegetables, Medicinal and Special Plants, Centre of the Region Haná for Biotechnological and Agricultural Research, Crop Research Institute, Olomouc, Czechia
| | - Kateřina Podlešáková
- Department of Chemical Biology and Genetics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia
| | - Tomáš Fürst
- Department of Chemical Biology and Genetics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia
- Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacky University, Olomouc, Czechia
| | - Nuria De Diego
- Department of Chemical Biology and Genetics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia
| | - Lukáš Spíchal
- Department of Chemical Biology and Genetics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Olomouc, Czechia
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13
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Peng L, Zeng Z, Wei Z, Chen A, Wood EF, Sheffield J. Determinants of the ratio of actual to potential evapotranspiration. Glob Chang Biol 2019; 25:1326-1343. [PMID: 30681229 DOI: 10.1111/gcb.14577] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 01/03/2019] [Accepted: 01/14/2019] [Indexed: 06/09/2023]
Abstract
A widely used approach for estimating actual evapotranspiration (AET) in hydrological and earth system models is to constrain potential evapotranspiration (PET) with a single empirical stress factor (Ω = AET/PET). Ω represents the water availability and is fundamentally linked to canopy-atmosphere coupling. However, the mean and seasonal variability of Ω in the models have rarely been evaluated against observations, and the model performances for different climates and biomes remain unclear. In this study, we first derived the observed Ω from 28 FLUXNET sites over North America during 2000-2007, which was then used to evaluate Ω in six large-scale model-based datasets. Our results confirm the importance of incorporating canopy height in the formulation of aerodynamic conductance in the case of forests. Furthermore, leaf area index (LAI) is central to the prediction of Ω and can be quantitatively linked to the partitioning between transpiration and soil evaporation (R2 = 0.43). The substantial differences between observed and model-based Ω in forests (range: 0.2~0.9) are highly related to the way these models estimated PET and the way they represented the responses of Ω to the environmental drivers, especially wind speed and LAI. This is the first assessment of Ω in models based on in situ observations. Our findings demonstrate that the observed Ω is useful for evaluating, validating, and optimizing the modeling of AET and thus of water and energy balances.
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Affiliation(s)
- Liqing Peng
- Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey
| | - Zhenzhong Zeng
- Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey
| | - Zhongwang Wei
- River and Environmental Engineering Laboratory, Department of Civil Engineering, University of Tokyo, Tokyo, Japan
| | - Anping Chen
- Department of Biology, Colorado State University, Fort Collins, Colorado
| | - Eric F Wood
- Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey
| | - Justin Sheffield
- School of Geography and Environmental Science, University of Southampton, Southampton, United Kingdom
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14
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Jucker T, Hardwick SR, Both S, Elias DMO, Ewers RM, Milodowski DT, Swinfield T, Coomes DA. Canopy structure and topography jointly constrain the microclimate of human-modified tropical landscapes. Glob Chang Biol 2018; 24:5243-5258. [PMID: 30246358 DOI: 10.1111/gcb.14415] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 07/02/2018] [Indexed: 05/05/2023]
Abstract
Local-scale microclimatic conditions in forest understoreys play a key role in shaping the composition, diversity and function of these ecosystems. Consequently, understanding what drives variation in forest microclimate is critical to forecasting ecosystem responses to global change, particularly in the tropics where many species already operate close to their thermal limits and rapid land-use transformation is profoundly altering local environments. Yet our ability to characterize forest microclimate at ecologically meaningful scales remains limited, as understorey conditions cannot be directly measured from outside the canopy. To address this challenge, we established a network of microclimate sensors across a land-use intensity gradient spanning from old-growth forests to oil-palm plantations in Borneo. We then combined these observations with high-resolution airborne laser scanning data to characterize how topography and canopy structure shape variation in microclimate both locally and across the landscape. In the processes, we generated high-resolution microclimate surfaces spanning over 350 km2 , which we used to explore the potential impacts of habitat degradation on forest regeneration under both current and future climate scenarios. We found that topography and vegetation structure were strong predictors of local microclimate, with elevation and terrain curvature primarily constraining daily mean temperatures and vapour pressure deficit (VPD), whereas canopy height had a clear dampening effect on microclimate extremes. This buffering effect was particularly pronounced on wind-exposed slopes but tended to saturate once canopy height exceeded 20 m-suggesting that despite intensive logging, secondary forests remain largely thermally buffered. Nonetheless, at a landscape-scale microclimate was highly heterogeneous, with maximum daily temperatures ranging between 24.2 and 37.2°C and VPD spanning two orders of magnitude. Based on this, we estimate that by the end of the century forest regeneration could be hampered in degraded secondary forests that characterize much of Borneo's lowlands if temperatures continue to rise following projected trends.
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Affiliation(s)
- Tommaso Jucker
- Forest Ecology and Conservation group, Department of Plant Sciences, University of Cambridge, Cambridge, UK
- CSIRO Land and Water, Floreat, WA, Australia
| | - Stephen R Hardwick
- Blackett Laboratory, Department of Physics, Imperial College London, London, UK
| | - Sabine Both
- School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Dafydd M O Elias
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
- Centre for Ecology & Hydrology, Lancaster Environment Centre, Lancaster, UK
| | | | | | - Tom Swinfield
- Forest Ecology and Conservation group, Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - David A Coomes
- Forest Ecology and Conservation group, Department of Plant Sciences, University of Cambridge, Cambridge, UK
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15
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Scheffer M, Xu C, Hantson S, Holmgren M, Los SO, van Nes EH. A global climate niche for giant trees. Glob Chang Biol 2018; 24:2875-2883. [PMID: 29658194 PMCID: PMC6033163 DOI: 10.1111/gcb.14167] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 03/07/2018] [Accepted: 03/12/2018] [Indexed: 06/08/2023]
Abstract
Rainforests are among the most charismatic as well as the most endangered ecosystems of the world. However, although the effects of climate change on tropical forests resilience is a focus of intense research, the conditions for their equally impressive temperate counterparts remain poorly understood, and it remains unclear whether tropical and temperate rainforests have fundamental similarities or not. Here we use new global data from high precision laser altimetry equipment on satellites to reveal for the first time that across climate zones 'giant forests' are a distinct and universal phenomenon, reflected in a separate mode of canopy height (~40 m) worldwide. Occurrence of these giant forests (cutoff height > 25 m) is negatively correlated with variability in rainfall and temperature. We also demonstrate that their distribution is sharply limited to situations with a mean annual precipitation above a threshold of 1,500 mm that is surprisingly universal across tropical and temperate climates. The total area with such precipitation levels is projected to increase by ~4 million km2 globally. Our results thus imply that strategic management could in principle facilitate the expansion of giant forests, securing critically endangered biodiversity as well as carbon storage in selected regions.
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Affiliation(s)
- Marten Scheffer
- Department of Aquatic Ecology and Water Quality ManagementWageningen UniversityWageningenThe Netherlands
| | - Chi Xu
- School of Life SciencesNanjing UniversityNanjingChina
| | - Stijn Hantson
- Karlsruhe Institute of TechnologyInstitute of Meteorology and Climate researchAtmospheric Environmental ResearchGarmisch‐PartenkirchenGermany
| | - Milena Holmgren
- Resource Ecology GroupWageningen UniversityWageningenThe Netherlands
| | | | - Egbert H. van Nes
- Department of Aquatic Ecology and Water Quality ManagementWageningen UniversityWageningenThe Netherlands
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16
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Xu P, Zhou T, Yi C, Luo H, Zhao X, Fang W, Gao S, Liu X. Impacts of Water Stress on Forest Recovery and Its Interaction with Canopy Height. Int J Environ Res Public Health 2018; 15:ijerph15061257. [PMID: 29899294 PMCID: PMC6025017 DOI: 10.3390/ijerph15061257] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 06/08/2018] [Accepted: 06/08/2018] [Indexed: 11/23/2022]
Abstract
Global climate change is leading to an increase in the frequency, intensity, and duration of drought events, which can affect the functioning of forest ecosystems. Because human activities such as afforestation and forest attributes such as canopy height may exhibit considerable spatial differences, such differences may alter the recovery paths of drought-impacted forests. To accurately assess how climate affects forest recovery, a quantitative evaluation on the effects of forest attributes and their possible interaction with the intensity of water stress is required. Here, forest recovery following extreme drought events was analyzed for Yunnan Province, southwest China. The variation in the recovery of forests with different water availability and canopy heights was quantitatively assessed at the regional scale by using canopy height data based on light detection and ranging (LiDAR) measurements, enhanced vegetation index data, and standardized precipitation evapotranspiration index (SPEI) data. Our results indicated that forest recovery was affected by water availability and canopy height. Based on the enhanced vegetation index measures, shorter trees were more likely to recover than taller ones after drought. Further analyses demonstrated that the effect of canopy height on recovery rates after drought also depends on water availability—the effect of canopy height on recovery diminished as water availability increased after drought. Additional analyses revealed that when the water availability exceeded a threshold (SPEI > 0.85), no significant difference in the recovery was found between short and tall trees (p > 0.05). In the context of global climate change, future climate scenarios of RCP2.6 and RCP8.5 showed more frequent water stress in Yunnan by the end of the 21st century. In summary, our results indicated that canopy height casts an important influence on forest recovery and tall trees have greater vulnerability and risk to dieback and mortality from drought. These results may have broad implications for policies and practices of forest management.
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Affiliation(s)
- Peipei Xu
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
- Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
- School of Earth and Environment Science, Queens College of the City University of New York, New York, NY 11367, USA.
| | - Tao Zhou
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
- Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
| | - Chuixiang Yi
- School of Earth and Environment Science, Queens College of the City University of New York, New York, NY 11367, USA.
| | - Hui Luo
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
- Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
| | - Xiang Zhao
- State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China.
| | - Wei Fang
- School of Earth and Environment Science, Queens College of the City University of New York, New York, NY 11367, USA.
| | - Shan Gao
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
- Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
| | - Xia Liu
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
- Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
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17
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Jucker T, Bongalov B, Burslem DFRP, Nilus R, Dalponte M, Lewis SL, Phillips OL, Qie L, Coomes DA. Topography shapes the structure, composition and function of tropical forest landscapes. Ecol Lett 2018; 21:989-1000. [PMID: 29659115 PMCID: PMC6849614 DOI: 10.1111/ele.12964] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 12/17/2017] [Accepted: 03/18/2018] [Indexed: 12/20/2022]
Abstract
Topography is a key driver of tropical forest structure and composition, as it constrains local nutrient and hydraulic conditions within which trees grow. Yet, we do not fully understand how changes in forest physiognomy driven by topography impact other emergent properties of forests, such as their aboveground carbon density (ACD). Working in Borneo – at a site where 70‐m‐tall forests in alluvial valleys rapidly transition to stunted heath forests on nutrient‐depleted dip slopes – we combined field data with airborne laser scanning and hyperspectral imaging to characterise how topography shapes the vertical structure, wood density, diversity and ACD of nearly 15 km2 of old‐growth forest. We found that subtle differences in elevation – which control soil chemistry and hydrology – profoundly influenced the structure, composition and diversity of the canopy. Capturing these processes was critical to explaining landscape‐scale heterogeneity in ACD, highlighting how emerging remote sensing technologies can provide new insights into long‐standing ecological questions.
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Affiliation(s)
- Tommaso Jucker
- Department of Plant Sciences, Forest Ecology and Conservation group, University of Cambridge, Cambridge, UK.,CSIRO Land and Water, 147 Underwood Avenue, Floreat, 6014, WA, Australia
| | - Boris Bongalov
- Department of Plant Sciences, Forest Ecology and Conservation group, University of Cambridge, Cambridge, UK
| | - David F R P Burslem
- School of Biological Sciences, University of Aberdeen, Cruickshank Building, St Machar Drive, Aberdeen, UK
| | - Reuben Nilus
- Sabah Forestry Department, Forest Research Centre, P.O. Box 1407, 90715, Sandakan, Sabah, Malaysia
| | - Michele Dalponte
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione E. Mach, Via E. Mach 1, 38010, San Michele all'Adige, Italy
| | - Simon L Lewis
- School of Geography, University of Leeds, Leeds, LS2 9JT, UK
| | | | - Lan Qie
- School of Geography, University of Leeds, Leeds, LS2 9JT, UK.,Imperial College London, Silwood Park Campus, Buckhusrt Road, Ascot, SL5 7PY, UK
| | - David A Coomes
- Department of Plant Sciences, Forest Ecology and Conservation group, University of Cambridge, Cambridge, UK
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Hodgson JG, Santini BA, Montserrat Marti G, Royo Pla F, Jones G, Bogaard A, Charles M, Font X, Ater M, Taleb A, Poschlod P, Hmimsa Y, Palmer C, Wilson PJ, Band SR, Styring A, Diffey C, Green L, Nitsch E, Stroud E, Romo-Díez A, de Torres Espuny L, Warham G. Trade-offs between seed and leaf size (seed-phytomer-leaf theory): functional glue linking regenerative with life history strategies … and taxonomy with ecology? Ann Bot 2017; 120:633-652. [PMID: 28961937 PMCID: PMC5714152 DOI: 10.1093/aob/mcx084] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 06/05/2017] [Indexed: 05/20/2023]
Abstract
Background and Aims While the 'worldwide leaf economics spectrum' (Wright IJ, Reich PB, Westoby M, et al. 2004. The worldwide leaf economics spectrum. Nature : 821-827) defines mineral nutrient relationships in plants, no unifying functional consensus links size attributes. Here, the focus is upon leaf size, a much-studied plant trait that scales positively with habitat quality and components of plant size. The objective is to show that this wide range of relationships is explicable in terms of a seed-phytomer-leaf (SPL) theoretical model defining leaf size in terms of trade-offs involving the size, growth rate and number of the building blocks (phytomers) of which the young shoot is constructed. Methods Functional data for 2400+ species and English and Spanish vegetation surveys were used to explore interrelationships between leaf area, leaf width, canopy height, seed mass and leaf dry matter content (LDMC). Key Results Leaf area was a consistent function of canopy height, LDMC and seed mass. Additionally, size traits are partially uncoupled. First, broad laminas help confer competitive exclusion while morphologically large leaves can, through dissection, be functionally small. Secondly, leaf size scales positively with plant size but many of the largest-leaved species are of medium height with basally supported leaves. Thirdly, photosynthetic stems may represent a functionally viable alternative to 'small seeds + large leaves' in disturbed, fertile habitats and 'large seeds + small leaves' in infertile ones. Conclusions Although key elements defining the juvenile growth phase remain unmeasured, our results broadly support SPL theory in that phytometer and leaf size are a product of the size of the initial shoot meristem (≅ seed mass) and the duration and quality of juvenile growth. These allometrically constrained traits combine to confer ecological specialization on individual species. Equally, they appear conservatively expressed within major taxa. Thus, 'evolutionary canalization' sensu Stebbins (Stebbins GL. 1974. Flowering plants: evolution above the species level . Cambridge, MA: Belknap Press) is perhaps associated with both seed and leaf development, and major taxa appear routinely specialized with respect to ecologically important size-related traits.
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Affiliation(s)
- John G Hodgson
- Unit of Comparative Plant Ecology, The University, Sheffield S1 4ET, UK
- Department of Archaeology, The University, Sheffield S10 2TN, UK
| | - Bianca A Santini
- Department of Animal and Plant Sciences, The University, Sheffield S10 2TN, UK
- Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, C.P. 04500, Mexico
| | - Gabriel Montserrat Marti
- Dept. Ecología Funcional y Biodiversidad, Instituto Pirenaico de Ecología (CSIC) Aptdo. 202, 30080 Zaragoza, Spain
| | - Ferran Royo Pla
- Grup de Recerca Científica ‘Terres de l’Ebre’, C/ Rosa Maria Molas, 25 A, 2n B, 43500 Tortosa, Spain
| | - Glynis Jones
- Department of Archaeology, The University, Sheffield S10 2TN, UK
| | - Amy Bogaard
- School of Archaeology, University of Oxford, 36 Beaumont Street, Oxford OX1 2PG, UK
| | - Mike Charles
- School of Archaeology, University of Oxford, 36 Beaumont Street, Oxford OX1 2PG, UK
| | - Xavier Font
- Department of Plant Biology, University of Barcelona, 08028 Barcelona, Spain
| | - Mohammed Ater
- Laboratoire Diversité et Conservation des Systèmes Biologiques (LDICOSYB), Département de Biologie, Faculté des Sciences de Tétouan, Université Abdelmalek Essaâdi, BP 2062, 93030, Tétouan, Morocco
| | | | - Peter Poschlod
- Institute of Botany, Faculty of Biology and Preclinical Medicine, University of Regensburg, 93040 Regensburg, Germany
| | - Younes Hmimsa
- Laboratoire Diversité et Conservation des Systèmes Biologiques (LDICOSYB), Département de Biologie, Faculté des Sciences de Tétouan, Université Abdelmalek Essaâdi, BP 2062, 93030, Tétouan, Morocco
| | - Carol Palmer
- Department of Archaeology, The University, Sheffield S10 2TN, UK
| | - Peter J Wilson
- Unit of Comparative Plant Ecology, The University, Sheffield S1 4ET, UK
| | - Stuart R Band
- Unit of Comparative Plant Ecology, The University, Sheffield S1 4ET, UK
| | - Amy Styring
- School of Archaeology, University of Oxford, 36 Beaumont Street, Oxford OX1 2PG, UK
| | - Charlotte Diffey
- School of Archaeology, University of Oxford, 36 Beaumont Street, Oxford OX1 2PG, UK
| | - Laura Green
- School of Archaeology, University of Oxford, 36 Beaumont Street, Oxford OX1 2PG, UK
| | - Erika Nitsch
- School of Archaeology, University of Oxford, 36 Beaumont Street, Oxford OX1 2PG, UK
| | - Elizabeth Stroud
- School of Archaeology, University of Oxford, 36 Beaumont Street, Oxford OX1 2PG, UK
| | - Angel Romo-Díez
- Institut Botànic de Barcelona, Parc Montjuïc, Av. dels Muntanyans s/n, 08038 Barcelona, Spain
| | - Lluis de Torres Espuny
- Grup de Recerca Científica ‘Terres de l’Ebre’, C/ Rosa Maria Molas, 25 A, 2n B, 43500 Tortosa, Spain
| | - Gemma Warham
- Department of Archaeology, The University, Sheffield S10 2TN, UK
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Zhang YE, Yu XX, Chen LH, Jia GD, Zhang ZY, Sun LB, Zhang JM, Hou GR. [Foliar water use efficiency of Platycladus orientalis of different canopy heights in Beijing western mountains area, China]. Ying Yong Sheng Tai Xue Bao 2017; 28:2143-2148. [PMID: 29741043 DOI: 10.13287/j.1001-9332.201707.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
In this study, we focused on Platycladus orientalis, a widely distributed tree species in Beijing western mountains area, and precisely determined its foliar water use efficiency (including instantaneous water use efficiency derived from gas exchange and short-term water use efficiency obtained on carbon isotope model) by carefully considering the discrepancies of meteorological factors and atmosphere CO2 concentration and δ13C among different canopy heights, hoping to provide theoretical basis for carbon sequestration and water loss in regional forest ecosystem, and offer technical support for regional forest management and maintenance. The results showed that the foliar instan-taneous water use efficiency tended to increase with the increasing canopy height, following the order of the upper canopy > the middle canopy > the lower canopy. A variety of meteorological factors synergistically influenced stomatal movement, and stomatal conductance would in turn have an effect on foliar instantaneous water use efficiency. Foliar short-term water use efficiency also increased with increasing canopy height, following the order of the upper canopy > the middle canopy > the lower canopy. The differences of foliar short-term water use efficiency among different heights could be explained by discrepancies of environmental drivers and atmosphere CO2 concentration and δ13C. Platycladus orientalis leaves in upper canopy adapted to ambient condition by improving water use efficiency.
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Affiliation(s)
- Yong E Zhang
- Ministry of Education Key Laboratory of Soil & Water Conservation and Desertification Combating, Beijing Forestry University, Beijing 100083, China
| | - Xin Xiao Yu
- Ministry of Education Key Laboratory of Soil & Water Conservation and Desertification Combating, Beijing Forestry University, Beijing 100083, China
| | - Li Hua Chen
- Ministry of Education Key Laboratory of Soil & Water Conservation and Desertification Combating, Beijing Forestry University, Beijing 100083, China
| | - Guo Dong Jia
- Ministry of Education Key Laboratory of Soil & Water Conservation and Desertification Combating, Beijing Forestry University, Beijing 100083, China
| | - Zhen Yao Zhang
- Ministry of Education Key Laboratory of Soil & Water Conservation and Desertification Combating, Beijing Forestry University, Beijing 100083, China
| | - Li Bo Sun
- Ministry of Education Key Laboratory of Soil & Water Conservation and Desertification Combating, Beijing Forestry University, Beijing 100083, China
| | - Jie Ming Zhang
- Ministry of Education Key Laboratory of Soil & Water Conservation and Desertification Combating, Beijing Forestry University, Beijing 100083, China
| | - Gui Rong Hou
- Ministry of Education Key Laboratory of Soil & Water Conservation and Desertification Combating, Beijing Forestry University, Beijing 100083, China
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Wang D, Xin X, Shao Q, Brolly M, Zhu Z, Chen J. Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar. Sensors (Basel) 2017; 17:s17010180. [PMID: 28106819 PMCID: PMC5298753 DOI: 10.3390/s17010180] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 01/04/2017] [Accepted: 01/12/2017] [Indexed: 11/16/2022]
Abstract
Accurate canopy structure datasets, including canopy height and fractional cover, are required to monitor aboveground biomass as well as to provide validation data for satellite remote sensing products. In this study, the ability of an unmanned aerial vehicle (UAV) discrete light detection and ranging (lidar) was investigated for modeling both the canopy height and fractional cover in Hulunber grassland ecosystem. The extracted mean canopy height, maximum canopy height, and fractional cover were used to estimate the aboveground biomass. The influences of flight height on lidar estimates were also analyzed. The main findings are: (1) the lidar-derived mean canopy height is the most reasonable predictor of aboveground biomass (R2 = 0.340, root-mean-square error (RMSE) = 81.89 g·m−2, and relative error of 14.1%). The improvement of multiple regressions to the R2 and RMSE values is unobvious when adding fractional cover in the regression since the correlation between mean canopy height and fractional cover is high; (2) Flight height has a pronounced effect on the derived fractional cover and details of the lidar data, but the effect is insignificant on the derived canopy height when the flight height is within the range (<100 m). These findings are helpful for modeling stable regressions to estimate grassland biomass using lidar returns.
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Affiliation(s)
- Dongliang Wang
- National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China.
| | - Xiaoping Xin
- National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Quanqin Shao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China.
| | - Matthew Brolly
- School of Environment and Technology, University of Brighton, Brighton BN2 4GJ, UK.
| | | | - Jin Chen
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China.
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Lagomasino D, Fatoyinbo T, Lee S, Feliciano E, Trettin C, Simard M. A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space. Remote Sens (Basel) 2016; 8:327. [PMID: 29629207 PMCID: PMC5884677 DOI: 10.3390/rs8040327] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Canopy height is one of the strongest predictors of biomass and carbon in forested ecosystems. Additionally, mangrove ecosystems represent one of the most concentrated carbon reservoirs that are rapidly degrading as a result of deforestation, development, and hydrologic manipulation. Therefore, the accuracy of Canopy Height Models (CHM) over mangrove forest can provide crucial information for monitoring and verification protocols. We compared four CHMs derived from independent remotely sensed imagery and identified potential errors and bias between measurement types. CHMs were derived from three spaceborne datasets; Very-High Resolution (VHR) stereophotogrammetry, TerraSAR-X add-on for Digital Elevation Measurement, and Shuttle Radar Topography Mission (TanDEM-X), and lidar data which was acquired from an airborne platform. Each dataset exhibited different error characteristics that were related to spatial resolution, sensitivities of the sensors, and reference frames. Canopies over 10 m were accurately predicted by all CHMs while the distributions of canopy height were best predicted by the VHR CHM. Depending on the guidelines and strategies needed for monitoring and verification activities, coarse resolution CHMs could be used to track canopy height at regional and global scales with finer resolution imagery used to validate and monitor critical areas undergoing rapid changes.
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Affiliation(s)
- David Lagomasino
- Universities Space Research Association/GESTAR, 7178 Columbia Gateway Dr., Columbia, MD 21046, USA
- NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
- Correspondence: ; Tel.: +1-301-614-6666
| | | | - SeungKuk Lee
- NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
| | | | - Carl Trettin
- US Department of Agriculture, Forest Service, Cordesville, SC 29434, USA
| | - Marc Simard
- Jet Propulsion Laboratory, Pasadena, CA 91109, USA
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