Diagnosing pristine pine forest development through pansharpened-surface-reflectance Landsat image derived aboveground biomass productivity

Inventories of tropical forest aboveground biomass (AGB) are often imprecise and sparse. Increasingly, airborne Light Detection And Ranging (LiDAR) and satellite optical wavelength sensor data are used to map tree height and to estimate AGB. In the tropics, cloud cover is particularly prevalent and so several years of satellite observations must be considered. This may reduce mapping accuracy because of seasonal and inter-annual changes in the forest reflectance. In this paper, the sensitivity of airborne LiDAR and Landsat-8 Operational Land Imager (OLI) based dominant canopy height and AGB 30 m mapping is assessed with respect to the season of Landsat acquisition for a ~10,000 Km2 tropical forest area in the Democratic Republic of the Congo. A random forest regression estimator is used to predict and assess the 30 m dominant canopy height using LiDAR derived test and training data. The AGB is mapped using an allometric model parameterized with the dominant canopy height and is assessed by comparison with field based 30 m AGB estimates. Experiments are undertaken independently using (i) only a wet season Landsat-8 image, (ii) only a dry season Landsat-8 image, and (iii) both Landsat-8 images. At the study area level there is little reported sensitivity to the season of Landsat image used. The mean dominant canopy height and AGB values are similar between seasons, within 0.19 m and 5 Mg ha−1, respectively. The mapping results are improved when both Landsat-8 images are used with Root Mean Square Error (RMSE) values that correspond to 18.8% of the mean study area mapped tree height (20.4 m) and to 41% of the mean study area mapped AGB (204 Mg ha−1). The mean study area mapped AGB is similar to that reported in other Congo Basin forest studies. The results of this detailed study are illustrated and the implications for tropical forest tree height and AGB mapping are discussed.

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Airborne laser scanner-assisted estimation of aboveground biomass change in a temperate oak–pine forest

Remote Sensing of Environment ◽

10.1016/j.rse.2013.12.015 ◽

2014 ◽

Vol 151 ◽

pp. 166-174 ◽

Cited By ~ 45

Author(s):

Nicholas S. Skowronski ◽

Kenneth L. Clark ◽

Michael Gallagher ◽

Richard A. Birdsey ◽

John L. Hom

Keyword(s):

Aboveground Biomass ◽

Laser Scanner ◽

Pine Forest ◽

Airborne Laser Scanner ◽

Airborne Laser

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Aboveground biomass distribution of US eastern hardwood forests and the use of large trees as an indicator of forest development

Forest Ecology and Management ◽

10.1016/s0378-1127(97)00044-3 ◽

1997 ◽

Vol 96 (1-2) ◽

pp. 37-47 ◽

Cited By ~ 99

Author(s):

Sandra Brown ◽

Paul Schroeder ◽

Richard Birdsey

Keyword(s):

Aboveground Biomass ◽

Hardwood Forests ◽

Biomass Distribution ◽

Forest Development ◽

Large Trees

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Productivity and nutritional value of aboveground biomass of annual crops in companion sowings

Grain Economy of Russia ◽

10.31367/2079-8725-2021-75-3-57-61 ◽

2021 ◽

pp. 57-61

Author(s):

Т. V. Rodina ◽

V. I. Zhuzhukin ◽

А. N. Astashov

Keyword(s):

Aboveground Biomass ◽

Low Cost ◽

Biomass Productivity ◽

Single Species ◽

Field Trials ◽

Pure Form ◽

Annual Crops ◽

Lower Productivity ◽

Dry Biomass ◽

Feed Value

In order to develop stable feed agrophytocenoses, the most promising and low-cost direction in feed production is the cultivation of companion sowings. In order to study the productivity of complex cenoses of annual feed crops together with soybean there were field trials laid on the experimental plots of the FSBSI Russian Research and Project-technological Institute of sorghum and maize “Rossorgo” in 2015–2017. The purpose of the current study was to substantiate scientifically and practically the development of highly productive agrophytocenoses of annual feed crops in companion sowings with soybean. The analysis of green and dry biomass productivity values showed that in singlemillet species crops, the productivity was higher than in companion sowings with soybean, this is explained by the lower productivity of the legume component. The highest mean productivity of aboveground biomass for three years of study (18.84 t/ha) was given by Japanese millet in its pure form. Siberian and Italian millet formed mean productivity of 16.13 and 15.60 t/ha, respectively. The current paper has presented data on productivity and has studied feed advantages of single-species and two-species sowings. The introduction of soybean in the composition of companion sowings has increased the protein percentage on 26.75–30.78% in dry biomass of feed mixtures in comparison with single-species crops. Aboveground biomass of complex agrocenoses contained more oil, ash and less fiber. According to the variants of the trial, the oil content varied from 2.15 to 5.40%, with the maximum amount identified in soybean in its pure form (5.40%), and the minimum value of this trait was obtained in Japanese millet in its pure form (2.15%). It is worth noting that it is advisable to cultivate annual crops for feed purposes together with soybean, since the feed value of the cutting mass significantly improves.

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Accumulation and decay of woody detritus in a humid subtropical secondary pine forest

Canadian Journal of Forest Research ◽

10.1139/cjfr-2012-0222 ◽

2013 ◽

Vol 43 (2) ◽

pp. 109-118 ◽

Cited By ~ 20

Author(s):

Megan L. Mobley ◽

Daniel deB. Richter ◽

Paul R. Heine

Keyword(s):

Tree Mortality ◽

Pine Forest ◽

Subtropical Climate ◽

Secondary Forests ◽

Humid Climate ◽

Forest Development ◽

Dead Trees ◽

Below Ground ◽

C And N ◽

Mean Time

The contribution of coarse woody detritus (CWD) to forest C budgets is poorly quantified in general, and especially so for secondary forests. This study quantifies C and N storage in logs and snags and compares the decomposition of this aboveground CWD with that of dead taproots in a 50-year-old secondary pine forest in a humid subtropical climate. We estimated rates of CWD input due to tree mortality over 50 years of forest development and conducted a field inventory of aboveground CWD of four decay classes. Belowground CWD was characterized by excavating 13 taproots of three decay classes. We found that aboveground CWD in this warm and humid climate decays relatively rapidly, with an exponential decay constant of 0.122 and mean time to decomposition of 50% and 95% log mass of 5.6 and 24.3 years, respectively. Our data suggest that most dead trees proceed through the earliest stage of decomposition as standing snags before falling to the ground. We found that changes in wood chemistry during decomposition were similar above and below ground. After 50 years of forest development, logs, snags, and dead taproots comprised 13% of total forest ecosystem C in this secondary pine forest.

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Aboveground biomass, productivity and carbon sequestration in Rhizophora stylosa mangrove forest of Southeast Sulawesi, Indonesia

Biodiversitas Journal of Biological Diversity ◽

10.13057/biodiv/d210407 ◽

2020 ◽

Vol 21 (4) ◽

Author(s):

Kangkuso Analuddin ◽

Kadidae La Ode ◽

Muhammad Yasir Haya La Ode ◽

Septiana Andi ◽

Sahidin Idin ◽

...

Keyword(s):

Carbon Sequestration ◽

Aboveground Biomass ◽

Mangrove Forest ◽

Net Primary Production ◽

Biomass Productivity ◽

Carbon Accumulation ◽

Total Carbon ◽

Co2 Uptake ◽

Rhizophora Stylosa ◽

Biomass Increment

Abstract. Analuddin K, Kadidae LO, Haya LOMY, Septiana A, Sahidin I, Syahrir L, Rahim S, Fajar LOA, Nadaoka K. 2020. Aboveground biomass, productivity and carbon sequestration in Rhizophora stylosa mangrove forest of Southeast Sulawesi, Indonesia. Biodiversitas 21: 1316-1325. This study was aimed at analyzing the trends of aboveground biomass (AGB), productivity and carbon sequestration of Rhizophora stylosa Griff. forest in Rawa Aopa Watumohai National Park (RAWNP), Southeast Sulawesi, Indonesia. The DBH was the best predictor for partial and whole AGB of R. stylosa trees. The mean AGB was 562.76 ton ha-1. The yearly biomass increment of living trees, biomass increment of whole stands, standing dead biomass, and litterfall in R. stylosa forest were estimated as 52.87, 50.09, 2.78 and 12.00 ton ha-1, respectively, while its net primary production was about 64.88 ton ha-1 yr-1 indicating higher mangrove productivity. The total carbon stock in R. stylosa forest was 264.50 ton ha-1, while the annual net carbon budget, carbon gain and carbon input in R. stylosa forest was 23.54, 24.85 and 5.64 ton ha-1. However, the total CO2 stored in R. stylosa forest was 969.83 ton ha-1, while the annual of net CO2 uptake, CO2 gained and CO2 input was 86.33, 91.12 and 20.86 ton ha-1. The higher carbon sequestration and CO2 uptake in R. stylosa forest indicate its significant role in the global carbon accumulation and reducing atmospheric CO2.

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Effects of Straw and Biochar Amendments on Grassland Productivity and Root Morphology

Agronomy ◽

10.3390/agronomy10111794 ◽

2020 ◽

Vol 10 (11) ◽

pp. 1794

Author(s):

Tomasz Głąb ◽

Krzysztof Gondek ◽

Monika Mierzwa-Hersztek ◽

Wojciech Szewczyk

Keyword(s):

Root System ◽

Root Morphology ◽

Aboveground Biomass ◽

Soil Amendments ◽

Mineral Fertilizer ◽

Biomass Productivity ◽

Phleum Pratense ◽

Control Treatment ◽

Image Analysis System ◽

Grassland Productivity

The objective of this research was to determine the effect of straw and biochar amendment on the root system morphology and aboveground biomass of a red clover/grass mixture (Lolium. perenne L., Phleum pratense L., Festuca pratensis Huds., F. arundinacea Schreb., L. multiflorum L., L. westerwoldicum Breakw., Trifolium pratense L.). A grassland experiment was conducted from 2014 to 2018. Straw was collected from miscanthus (Miscanthus × giganteus), winter wheat (Triticum aestivum L.), and biochar was produced from the biomass of those species. The following treatments were applied: wheat straw at a rate of 5 t ha−1 (WS), miscanthus straw at a rate of 5 t ha−1 (MS), wheat biochar at a rate of 5 t ha−1 (WBH), wheat biochar at a rate of 2.25 t ha−1 (WBL), miscanthus biochar at a rate of 5 t ha−1 (MBH), and miscanthus biochar at a rate of 2.25 t ha−1 (MBL). A treatment with mineral fertilizer but without organic amendments (MCTR) was used, and a control treatment (CTR) without mineral fertilizer and without any amendments was also tested. The botanical composition and the aboveground yields were determined. The roots were sampled in 2018, and the root morphology parameters were determined using an image analysis system. The applied soil amendments resulted in increased root lengths, surface areas, volumes, and mean root diameters. There were no differences between the treatments with different feedstock types (miscanthus vs. wheat), materials (straw vs. biochar), or amendment rates (5 vs. 2.25 t ha−1). The resulting root system characteristics were reflected in the aboveground biomass productivity. The soil amendments, i.e., the straw and biochar, significantly increased the productivity in comparison to that of the control treatment. However, these differences were noticed only during the first and second cuts. Recommended practice in grassland management is to improve soil with straw. The conversion of straw into biochar does not provide a better effect on grassland productivity.

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Investigating the Impact of Land Parcelization on Forest Composition and Structure in Southeastern Ohio Using Multi-Source Remotely Sensed Data

Remote Sensing ◽

10.3390/rs11192195 ◽

2019 ◽

Vol 11 (19) ◽

pp. 2195

Author(s):

Xiaolin Zhu ◽

Desheng Liu

Keyword(s):

Aboveground Biomass ◽

Forest Composition ◽

Remotely Sensed Data ◽

Forest Development ◽

Composition And Structure ◽

Forest Coverage ◽

Parcel Size ◽

Forest Attributes ◽

Private Forestland ◽

The Impact

Forestland parcelization (i.e., a process by which large parcels of forestland ownership are divided into many small parcels) presents an increasing challenge to sustainable forest development in the United States. In Southeastern Ohio, forests also experienced intensive forestland parcelization, where the majority of forest owners own parcels smaller than 10 acres currently. To better understand the impact of forestland parcelization on forest development, this study employed multi-source remotely sensed data and land ownership data in Hocking County, Ohio to examine the relationship between forestland parcel size and forest attributes, including forest composition and structure. Our results show that private forestland parcels are generally smaller than public forestland (the average parcel sizes are 21.5 vs. 275.0 acres). Compared with private lands, public lands have higher values in all forest attributes, including forest coverage, abundance of oak-dominant stands, canopy height and aboveground biomass. A further investigation focusing on private forestland reveals that smaller parcels tend to have smaller forest coverage, less greenness, lower height and aboveground biomass, indicating that forests in smaller parcels may experience more human disturbances than larger parcels. The results also show that logarithmic models can well quantify the non-linear relationship between forest attributes and parcel size in the study area. Our study suggests that forestland parcelization indeed has negative effects on forest development, so it is very important to take appropriate measures to protect forests in small ownership parcels.

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