ESTIMATION OF ABOVE GROUND BIOMASS OF THE THREE SITES (GRAZED SITE, PROTECTED SITE AND SEED SOWN SITE) FOR COMPARING THEIR PRODUCTIVITY IN KASHMIR VALLEY

2017 ◽  
Vol 23 (2) ◽  
Author(s):  
AFSHAN ANJUM BABA ◽  
SYED NASEEM UL-ZAFAR GEELANI ◽  
ISHRAT SALEEM ◽  
MOHIT HUSAIN ◽  
PERVEZ AHMAD KHAN ◽  
...  
Keyword(s):  
Protected Areas ◽  
Aboveground Biomass ◽  
Plant Biomass ◽  
Summer Season ◽  
Above Ground Biomass ◽  
Spring Season ◽  
Kashmir Valley ◽  
Ground Biomass ◽  
Maximum Value ◽  
Protected Site

The plant biomass for protected areas was maximum in summer (1221.56 g/m2) and minimum in winter (290.62 g/m2) as against grazed areas having maximum value 590.81 g/m2 in autumn and minimum 183.75 g/m2 in winter. Study revealed that at Protected site (Kanidajan) the above ground biomass ranged was from a minimum (1.11 t ha-1) in the spring season to a maximum (4.58 t ha-1) in the summer season while at Grazed site (Yousmarag), the aboveground biomass varied from a minimum (0.54 t ha-1) in the spring season to a maximum of 1.48 t ha-1 in summer seasonandat Seed sown site (Badipora), the lowest value of aboveground biomass obtained was 4.46 t ha-1 in spring while as the highest (7.98 t ha-1) was obtained in summer.

Costs of reproduction in life history of a perennial plant Carex secalina

2011 ◽  
Vol 6 (5) ◽  
pp. 870-877 ◽  
Author(s):  
Agnieszka Bogdanowicz ◽  
Paweł Olejniczak ◽  
Marlena Lembicz ◽  
Waldemar Żukowski
Keyword(s):  
Life History ◽  
Life History Theory ◽  
Plant Biomass ◽  
Total Production ◽  
Above Ground Biomass ◽  
Costs Of Reproduction ◽  
Perennial Plant ◽  
Reproductive Structures ◽  
Ground Biomass ◽  
History Of

AbstractWe tested a hypothesis based on life history theory that examines reproductive costs incurred by individuals in consecutive years of their life. A multi-year dataset of resource allocation to vegetative and reproductive structures was analysed in Carex secalina — a perennial, monoecious sedge, reproducing only sexually. In a four-year garden experiment, we assessed above-ground biomass at the end of each season and reproductive allocation expressed as the total length of male and female spikes. The study was aimed at determining how size and age of a plant relates to its reproduction, and how the rate of reproduction affects the year-toyear biomass change in Carex secalina. We observed that after each reproductive episode, individuals had significantly smaller sizes and produced a lower number of generative tillers. The total production of reproductive structures decreased significantly with age in all populations. Moreover, the decrease in plant biomass was greater when more reproductive structures were produced in a previous year, which indicates that the plants incur costs of reproduction in terms of above-ground biomass production.

scholarly journals Recent above-ground biomass changes in central Chukotka (Russian Far East) using field sampling and Landsat satellite data

2020 ◽  
Author(s):  
Iuliia Shevtsova ◽  
Ulrike Herzschuh ◽  
Birgit Heim ◽  
Luise Schulte ◽  
Simone Stünzi ◽  
...  
Keyword(s):  
Land Cover ◽  
Plant Biomass ◽  
Russian Far East ◽  
Far East ◽  
Additive Model ◽  
Northern Taiga ◽  
Above Ground Biomass ◽  
Study Region ◽  
Ground Biomass ◽  
Closed Canopy

Abstract. Upscaling plant biomass distribution and dynamics is essential for estimating carbon stocks and carbon balance. In this respect, the Russian Far East is among the least investigated subarctic regions despite its known vegetation sensitivity to ongoing warming. We representatively harvested above-ground biomass (AGB, separated by dominant taxa) at 40 sampling plots in central Chukotka. We used ordination to relate field-based taxa projective cover and Landsat-derived vegetation indices. A general additive model was used to link the ordination scores to AGB. We then mapped AGB for paired Landsat-derived time-slices (i.e. 2000/2001/2002 and 2016/2017), in four study regions covering a wide vegetation gradient from closed-canopy larch forests to barren alpine tundra. We provide AGB estimates and changes in AGB that were previously lacking for central Chukotka at a high spatial resolution and a detailed description of taxonomical contributions. Generally, AGB in the study region ranges from 0 to 16 kg m−2, with Cajander larch providing the highest contribution. Comparison of changes in AGB within the investigated period shows that the greatest changes (up to 1.25 kg m−2 yr−1) occurred in the northern taiga and in areas where land cover changed to larch closed-canopy forest. As well as the notable changes, increases in AGB also occur within the land cover classes. Our estimations indicate a general increase in total AGB throughout the investigated tundra-taiga and northern taiga, whereas the tundra showed no evidence of change in AGB.

scholarly journals REACTION OF THE SPRING RAPE OF ACCORD VARIETY TO SOWING RECEPTIONS

2018 ◽  
Vol 12 (4) ◽  
pp. 80-82
Author(s):  
Ильдус Фатыхов ◽  
Ildus Fatykhov ◽  
Евгений Хакимов ◽  
Evgeniy Hakimov ◽  
Эльмира Вафина ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Dry Matter ◽  
Biomass Yield ◽  
Above Ground Biomass ◽  
Seeding Rate ◽  
Maximum Productivity ◽  
Ground Biomass ◽  
Spring Rape

The article presents the results of the study on the reaction of spring rape by the formation of aboveground biomass yield on the sowing methods are given. It was revealed that, with ordinary and wide-row seeding methods, the maximum productivity of 3.09 tons per hectare and 3.05 tons per hectare, respectively, ensured the seeding rate of 3 million pieces of virgin seeds per 1 hectare. The increase in the productivity of the above-ground biomass is due to the density of standing of plants for harvesting, the mass of one plant, the lining and collection of dry matter.

Effect of Organic Manures, Azotobacter and Spacing on Yield of Solanum nigrum L.

2015 ◽  
Vol 22 (3) ◽  
pp. 133-137
Author(s):  
Ashwani Kumar ◽  
Kulwant Sharma
Keyword(s):  
Root Biomass ◽  
Biomass Yield ◽  
Solanum Nigrum ◽  
Above Ground Biomass ◽  
Organic Manures ◽  
Ground Biomass ◽  
Yield Parameters ◽  
Maximum Value ◽  
Solanum Nigrum L ◽  
The Impact

The present investigation on effect of organic manures, Azotobacter and spacing on yield of Solanum nigrum L. was carried out. Seven different treatments with three spacings were studied to observe the impact of these treatments on yield parameters. Overall, treatment of Vermicompost + Azotobacter combination at S3 (45x45 cm) spacing gave maximum seed yield/plant, fresh above ground biomass per plant, fresh root biomass per plant, dry above ground biomass per plant, dry root biomass per plant as compared to other treatments at different spacings. Maximum value for yield parameters viz. total fresh biomass yield and total dry biomass yield/ha were recorded in treatment of Vermicompost + Azotobacter combination at with 30 x 30 cm spacing. The yield decreased with the further increase in spacing.

scholarly journals Comparison of Cover Crops Alone or in Mixture with Inorganic Nitrogen for Above Ground Biomass Production and Fruit Yields in Bell Pepper

HortScience ◽  
2004 ◽  
Vol 39 (4) ◽  
pp. 749A-749
Author(s):  
Wayne F. Whitehead* ◽  
Bharat P. Singh
Keyword(s):  
Cover Crops ◽  
Plant Biomass ◽  
Inorganic Nitrogen ◽  
Block Design ◽  
Total Yield ◽  
Bell Pepper ◽  
Above Ground Biomass ◽  
Hairy Vetch ◽  
Fruit Number ◽  
Ground Biomass

The goal of this study was to compare the effect of leguminous and non-leguminous cover crops alone or in mixture with fertilizer nitrogen rates on above ground biomass, fruit number, and bell pepper yield. The following fall-spring fertility treatments were applied using randomized complete-block design with three replications: 1) fall-0 N, fallow, spring-0 N; 2) fall-0 N, abruzzi rye, spring-0 N; 3) fall-0 N, hairy vetch, spring-0 N; 4) fall-0 N, abruzzi rye+hairy vetch, spring-0 N; 5) fall-0 N, fallow, spring-84 kg·ha-1 N; 6) fall-0 N, abruzzi rye; spring-84 kg·ha-1 N; 7) fall-0 N, hairy vetch, spring-84 kg·ha-1 N; 8) fall-0 N, abruzzi rye+hairy vetch; spring-84 kg·ha-1 N; 9) fall-0 N, fallow, spring-168 kg·ha-1 N; 10) fall-0 N, abruzzi rye, spring-168 kg·ha-1 N; 11) fall-0 N, hairy vetch, spring-168 kg·ha-1 N; and 12) fall-0 N, abruzzi rye+hairy vetch, spring-168 kg·ha-1 N. In Spring 2003, `Camelott' bell pepper were transplanted. Total yield and fruit number were compiled over 8 weeks, while total vegetative dry matter was measured at final harvest. Highest above ground biomass (48.0 g/plant), total yield (36.7 Mg·ha-1) and fruit number (11/plant) were produced by fall-0 N, hairy vetch; spring-0 N. Lowest above ground biomass (19.0 g/plant), total yield (11.5 Mg·ha-1) and fruit number (4/plant) were produced by fall-0 N, abruzzi rye; spring-0 N. Hairy vetch without any additional N produced plant biomass, fruit number and yield better than all other treatments. Results indicate the legume cover crop can be an effective N source in supporting plant biomass, fruit number and yield of bell pepper.

scholarly journals ESTIMATION AND MAPPING OF ABOVE GROUND BIOMASS OF MANGROVE FOREST USING ALOS-2 PALSAR-2 IN BENOA BAY, BALI, INDONESIA

2021 ◽  
Vol 15 (1) ◽  
pp. 75
Author(s):  
IGA Indah Mahasani ◽  
Takahiro Osawa ◽  
I Wayan Sandi Adnyana
Keyword(s):  
Aboveground Biomass ◽  
Policy Development ◽  
Carbon Stock ◽  
Carbon Fixation ◽  
Coefficient Of Determination ◽  
Mangrove Forests ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Bay Area ◽  
Mangrove Ecosystems

Mangrove forests are distributed in limited areas around along costlines, but they play important role in carbon fixation and carbon storafe in the tropic areas. Mangrove forests are a transitional ecosystem between land-based oceans, most of which are well-known along the tropic and subtropical coastlines. Mangrove ecosystems have an ecological function as an absorber and storage of carbon in the form of biomass. Remote sensing technology can include data spatially and temporally. This makes it easy to predict the overall extent and carbon stock. So that in the context of sustainable management of mangrove ecosystems it can be utilized to monitor mangrove carbon balance and become the basis for policy development. The objective of this study was to determine the potential above ground biomass model from ALOS-2 PALSAR-2 data in mangrove forests of Benoa Bay, Bali. In this research, the filter used is frost filtering. AGB model was constructesd by using dual-polarization L-band SAR of ALOS-2 PALSAR-2 data and field inventory plots. 40 plots were collected in the field and the allometric equation. The prediction model for aboveground biomass potential based on the ALOS-2 PALSAR-2 image on HV polarization in the mangrove Benoa Bay area, the correlation value (r) of 0.82, the coefficient of determination (R2) of 0.68. Validation model aboveground biomass-based, correlation value (r) of 0.90, the coefficient of determination (R2) of 0.82, and RMSE of ± 39.85. The potential of aboveground biomass and carbon stock in the mangrove Benoa Bay area is 364,241.87 Mg and 171,193.67 Mg C with the ability to absorb carbon dioxide (CO2) of 628,280.81 Mg CO2 Sequestration same with 3 bottles in 2020.Keywords: Mangrove; Aboveground biomass (AGB); HV Polarization; ALOS-2 PALSAR-2.

scholarly journals Recent above-ground biomass changes in central Chukotka (Russian Far East) using field sampling and Landsat satellite data

2021 ◽  
Vol 18 (11) ◽  
pp. 3343-3366
Author(s):  
Iuliia Shevtsova ◽  
Ulrike Herzschuh ◽  
Birgit Heim ◽  
Luise Schulte ◽  
Simone Stünzi ◽  
...  
Keyword(s):  
Land Cover ◽  
Plant Biomass ◽  
Russian Far East ◽  
Far East ◽  
Additive Model ◽  
Northern Taiga ◽  
Above Ground Biomass ◽  
Study Region ◽  
Ground Biomass ◽  
Closed Canopy

Abstract. Upscaling plant biomass distribution and dynamics is essential for estimating carbon stocks and carbon balance. In this respect, the Russian Far East is among the least investigated sub-Arctic regions despite its known vegetation sensitivity to ongoing warming. We representatively harvested above-ground biomass (AGB; separated by dominant taxa) at 40 sampling plots in central Chukotka. We used ordination to relate field-based taxa projective cover and Landsat-derived vegetation indices. A general additive model was used to link the ordination scores to AGB. We then mapped AGB for paired Landsat-derived time slices (i.e. 2000/2001/2002 and 2016/2017), in four study regions covering a wide vegetation gradient from closed-canopy larch forests to barren alpine tundra. We provide AGB estimates and changes in AGB that were previously lacking for central Chukotka at a high spatial resolution and a detailed description of taxonomical contributions. Generally, AGB in the study region ranges from 0 to 16 kg m−2, with Cajander larch providing the highest contribution. Comparison of changes in AGB within the investigated period shows that the greatest changes (up to 1.25 kg m−2 yr−1) occurred in the northern taiga and in areas where land cover changed to larch closed-canopy forest. As well as the notable changes, increases in AGB also occur within the land-cover classes. Our estimations indicate a general increase in total AGB throughout the investigated tundra–taiga and northern taiga, whereas the tundra showed no evidence of change in AGB.

scholarly journals The climatic imprint of bimodal distributions in vegetation cover for western Africa

2016 ◽  
Vol 13 (11) ◽  
pp. 3343-3357 ◽  
Author(s):  
Zun Yin ◽  
Stefan C. Dekker ◽  
Bart J. J. M. van den Hurk ◽  
Henk A. Dijkstra
Keyword(s):  
Land Cover ◽  
Congo Basin ◽  
Shortwave Radiation ◽  
Mean Annual Precipitation ◽  
Above Ground Biomass ◽  
Precipitation Regime ◽  
Ground Biomass ◽  
Western Africa ◽  
Precipitation Regimes ◽  
Woody Cover

Abstract. Observed bimodal distributions of woody cover in western Africa provide evidence that alternative ecosystem states may exist under the same precipitation regimes. In this study, we show that bimodality can also be observed in mean annual shortwave radiation and above-ground biomass, which might closely relate to woody cover due to vegetation–climate interactions. Thus we expect that use of radiation and above-ground biomass enables us to distinguish the two modes of woody cover. However, through conditional histogram analysis, we find that the bimodality of woody cover still can exist under conditions of low mean annual shortwave radiation and low above-ground biomass. It suggests that this specific condition might play a key role in critical transitions between the two modes, while under other conditions no bimodality was found. Based on a land cover map in which anthropogenic land use was removed, six climatic indicators that represent water, energy, climate seasonality and water–radiation coupling are analysed to investigate the coexistence of these indicators with specific land cover types. From this analysis we find that the mean annual precipitation is not sufficient to predict potential land cover change. Indicators of climate seasonality are strongly related to the observed land cover type. However, these indicators cannot predict a stable forest state under the observed climatic conditions, in contrast to observed forest states. A new indicator (the normalized difference of precipitation) successfully expresses the stability of the precipitation regime and can improve the prediction accuracy of forest states. Next we evaluate land cover predictions based on different combinations of climatic indicators. Regions with high potential of land cover transitions are revealed. The results suggest that the tropical forest in the Congo basin may be unstable and shows the possibility of decreasing significantly. An increase in the area covered by savanna and grass is possible, which coincides with the observed regreening of the Sahara.

Above-ground biomass estimation of Indian tropical forests using X band Pol-InSAR and Random Forest

2021 ◽  
Vol 21 ◽  
pp. 100462
Author(s):  
Sadhana Yadav ◽  
Hitendra Padalia ◽  
Sanjiv K. Sinha ◽  
Ritika Srinet ◽  
Prakash Chauhan
Keyword(s):  
Random Forest ◽  
Tropical Forests ◽  
Biomass Estimation ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
X Band

scholarly journals Comparison of Capability of SAR and Optical Data in Mapping Forest above Ground Biomass Based on Machine Learning

2020 ◽  
Vol 5 (1) ◽  
pp. 13
Author(s):  
Negar Tavasoli ◽  
Hossein Arefi
Keyword(s):  
Machine Learning ◽  
Carbon Stock ◽  
Vegetation Indices ◽  
Forest Biomass ◽  
Principal Component ◽  
Optical Data ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Texture Characteristics ◽  
Sentinel 2

Assessment of forest above ground biomass (AGB) is critical for managing forest and understanding the role of forest as source of carbon fluxes. Recently, satellite remote sensing products offer the chance to map forest biomass and carbon stock. The present study focuses on comparing the potential use of combination of ALOSPALSAR and Sentinel-1 SAR data, with Sentinel-2 optical data to estimate above ground biomass and carbon stock using Genetic-Random forest machine learning (GA-RF) algorithm. Polarimetric decompositions, texture characteristics and backscatter coefficients of ALOSPALSAR and Sentinel-1, and vegetation indices, tasseled cap, texture parameters and principal component analysis (PCA) of Sentinel-2 based on measured AGB samples were used to estimate biomass. The overall coefficient (R2) of AGB modelling using combination of ALOSPALSAR and Sentinel-1 data, and Sentinel-2 data were respectively 0.70 and 0.62. The result showed that Combining ALOSPALSAR and Sentinel-1 data to predict AGB by using GA-RF model performed better than Sentinel-2 data.

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