Improving remote estimation of winter crops gross ecosystem production by inclusion of leaf area index in a spectral model

The hysteresis of the seasonal relationships between vegetation indices (VIs) and gross ecosystem production (GEP) results in differences between these relationships during vegetative and reproductive phases of plant development cycle and may limit their applicability for estimation of croplands productivity over the entire season. To mitigate this problem and to increase the accuracy of remote sensing-based models for GEP estimation we developed a simple empirical model where greenness-related VIs are multiplied by the leaf area index (LAI). The product of this multiplication has the same seasonality as GEP, and specifically for vegetative periods of winter crops, it allowed the accuracy of GEP estimations to increase and resulted in a significant reduction of the hysteresis of VIs vs. GEP. Our objective was to test the multiyear relationships between VIs and daily GEP in order to develop more general models maintaining reliable performance when applied to years characterized by different climatic conditions. The general model parametrized with NDVI and LAI product allowed to estimate daily GEP of winter and spring crops with an error smaller than 14%, and the rate of GEP over- (for spring barley) or underestimation (for winter crops and potato) was smaller than 25%. The proposed approach may increase the accuracy of crop productivity estimation when greenness VIs are saturating early in the growing season.

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Peer Review #1 of "Improving remote estimation of winter crops gross ecosystem production by inclusion of leaf area index in a spectral model (v0.2)"

10.7287/peerj.5613v0.2/reviews/1 ◽

2018 ◽

Keyword(s):

Leaf Area Index ◽

Peer Review ◽

Leaf Area ◽

Spectral Model ◽

Area Index ◽

Gross Ecosystem Production ◽

Ecosystem Production ◽

Winter Crops ◽

Remote Estimation

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Peer Review #2 of "Improving remote estimation of winter crops gross ecosystem production by inclusion of leaf area index in a spectral model (v0.2)"

10.7287/peerj.5613v0.2/reviews/2 ◽

2018 ◽

Keyword(s):

Leaf Area Index ◽

Peer Review ◽

Leaf Area ◽

Spectral Model ◽

Area Index ◽

Gross Ecosystem Production ◽

Ecosystem Production ◽

Winter Crops ◽

Remote Estimation

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Peer Review #1 of "Improving remote estimation of winter crops gross ecosystem production by inclusion of leaf area index in a spectral model (v0.1)"

10.7287/peerj.5613v0.1/reviews/1 ◽

2018 ◽

Keyword(s):

Leaf Area Index ◽

Peer Review ◽

Leaf Area ◽

Spectral Model ◽

Area Index ◽

Gross Ecosystem Production ◽

Ecosystem Production ◽

Winter Crops ◽

Remote Estimation

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Peer Review #2 of "Improving remote estimation of winter crops gross ecosystem production by inclusion of leaf area index in a spectral model (v0.1)"

10.7287/peerj.5613v0.1/reviews/2 ◽

2018 ◽

Keyword(s):

Leaf Area Index ◽

Peer Review ◽

Leaf Area ◽

Spectral Model ◽

Area Index ◽

Gross Ecosystem Production ◽

Ecosystem Production ◽

Winter Crops ◽

Remote Estimation

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Relationship Between Leaf Area Index and Atmospheric Cooling of Tree Species

Indian Journal of Forestry ◽

10.54207/bsmps1000-2019-51v8lv ◽

2019 ◽

Vol 42 (3) ◽

pp. 203-208

Author(s):

S. K. Gupta ◽

◽

Jeet Ram ◽

Hukum Singh ◽

◽

...

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Mangifera Indica ◽

Climatic Conditions ◽

Tree Canopy ◽

Strong Positive Correlation ◽

Evergreen Species ◽

Terrestrial Environment ◽

Area Index ◽

Effective Measure

Presence of tree canopy is known to strongly influence ambient temperature and other micro-climatic conditions underneath. Therefore, planting trees with close or dense crown can be used as effective measure to provide thermal cover to species of flora and fauna adapted to shady and cooler environment. The cooling produced by a tree is exclusively the combined results of physical and physiological functions of its canopy. Tree canopy is one of the most important, physiologically active components that establish interaction between the terrestrial environment and the atmosphere which regulates various bio-physiological processes. Leaf Area Index (LAI) is one of the most reliable indicators of growth and vigour of a tree. We compared LAI and corresponding understory temperature of a few isolated trees of Ficus benjamina, Mangifera indica, Anthocephalus chinensis, Lagerstroemia floribunda and Peltophorum africanum belonging to evergreen, semi-deciduous and deciduous nature to establish the relationship between the two parameters. A great variation in LAIs of deciduous and semi-deciduous species was observed on account of leaf shedding and fast development of crown after emergence of new leaves whereas the variation was lesser in evergreen species. A strong positive correlation was found between LAI and cooling produced by A. chinensis, L. floribunda and P. africanum whereas no linear relation was established in case of M. indica and F. benjamina.

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Remote estimation of canopy leaf area index and chlorophyll content in Moso bamboo (Phyllostachys edulis (Carrière) J. Houz.) forest using MODIS reflectance data

Annals of Forest Science ◽

10.1007/s13595-018-0721-y ◽

2018 ◽

Vol 75 (1) ◽

Cited By ~ 2

Author(s):

Xiaojun Xu ◽

Huaqiang Du ◽

Guomo Zhou ◽

Fangjie Mao ◽

Xuejian Li ◽

...

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Chlorophyll Content ◽

Moso Bamboo ◽

Phyllostachys Edulis ◽

Area Index ◽

Remote Estimation ◽

Reflectance Data

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Growth analysis of chickpea (Cicer arietinum L.)

Scientia Agricola ◽

10.1590/s0103-90161994000300008 ◽

1994 ◽

Vol 51 (3) ◽

pp. 430-435 ◽

Cited By ~ 4

Author(s):

S.S.S. Nogueira ◽

V. Nagai ◽

N.R. Braga ◽

M. Do C.S.S. Novo ◽

M.B.P. Camargo

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Dry Matter ◽

Growth Analysis ◽

Climatic Conditions ◽

Area Index ◽

Experimental Station ◽

Matter Production ◽

Winter Crop ◽

Quadratic Models

An experiment to study the growing pattern of a chickpea variety, IAC-Marrocos, was carried out at the Monte Alegre Experimental Station, SP, during 1987 and 1988. The dry matter production of all parts of the plant, as well the leaf area index, were weekly evaluated. Exponential quadratic models of regression were adjusted to total dry matter, leaf dry matter and leaf area index, and a linear model to dry matter of grain. Based on the growth analysis it was concluded that the chickpea is a rustic eatable plant that can be recommended as an alternative winter crop for similar climatic conditions as those of the experiment.

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Growth of spring barley under drought: crop development, photosynthesis, dry-matter accumulation and nutrient content

The Journal of Agricultural Science ◽

10.1017/s002185960003197x ◽

1981 ◽

Vol 96 (1) ◽

pp. 167-186 ◽

Cited By ~ 56

Author(s):

D. W. Lawlor ◽

W. Day ◽

A. E. Johnston ◽

B. J. Legg ◽

K. J. Parkinson

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Dry Matter ◽

Spring Barley ◽

Grain Filling ◽

Dry Matter Accumulation ◽

Area Index ◽

Water Deficits ◽

Maximum Value ◽

Grain Filling Period

SUMMARYThe effects of water deficit on growth of spring barley were analysed under five irrigation treatments. One crop was irrigated at weekly intervals from emergence throughout the growing season, and one was not irrigated at all after emergence. Soil water deficits in the other treatments were allowed to develop early, intermediate or late in the crop's development.Weekly irrigation produced a crop with a large leaf area index (maximum value 4) and maintained green leaf and awns throughout the grain-filling period. Early drought decreased leaf area index (maximum value 2) by slowing expansion of main-stem leaves and decreasing the number and growth of tiller leaves. Leaf senescence was also increased with drought. Drought late in the development of ears and leaves and during the grain-filling period caused leaves and awns to senesce so that the total photosynthetic areas decreased faster than with irrigation. Photosynthetic rate per unit leaf area was little affected by drought so total dry-matter production was most affected by differences in leaf area.Early drought gave fewer tillers (550/m2) and fewer grains per ear (18) than did irrigation (760 tillers/m2 and 21 grains per ear). Late irrigation after drought increased the number of grains per ear slightly but not the number of ears/m2. Thus at the start of the grain-filling period crops which had suffered drought early had fewer grains than irrigated (9·5 and 18·8 × 103/m2 respectively) or crops which suffered drought later in development (14 × 103/m2).During the first 2 weeks of filling, grains grew at almost the same rate in all treatments. Current assimilate supply was probably insufficient to provide this growth in crops which had suffered drought, and stem reserves were mobilized, as shown by the decrease in stem mass during the period. Grains filled for 8 days longer with irrigation and were heavier (36–38 mg) than without irrigation (29–30 mg). Drought throughout the grainfilling period after irrigation earlier in the season resulted in the smallest grains (29 mg).Grain yield depended on the number of ears, the number of grains per ear and mass per grain. Early drought decreased tillering and tiller ear production and the number of grains that filled in each ear. Late drought affected grain size via the effects on photosynthetic surface area.Drought decreased the concentrations of phosphorus, potassium and magnesium in the dry matter of crops, and irrigation after drought increased them. Concentration of nitrogen was little affected by treatment. Possible mechanisms by which water deficits and nutrient supply affect crop growth and yield are discussed.

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