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Disturbance Effects on Soil Carbon and Greenhouse Gas Emissions in Forest Ecosystems

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ISBN: 9783039286669 / 9783039286676 Year: Pages: 232 DOI: 10.3390/books978-3-03928-667-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Forestry
Added to DOAB on : 2020-06-09 16:38:57
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Abstract

Forest ecosystems are often disturbed by agents such as harvesting, fire, wind, insects and diseases, and acid deposition, with differing intensities and frequencies. Such disturbances can markedly affect the amount, form, and stability of soil organic carbon in, and the emission of greenhouse gases, including CO2, CH4, and N2O from, forest ecosystems. It is vitally important that we improve our understanding of the impact of different disturbance regimes on forest soil carbon dynamics and greenhouse gas emissions to guide our future research, forest management practices, and policy development. This Special Issue provides an important update on the disturbance effects on soil carbon and greenhouse gas emissions in forest ecosystems in different climate regions.

Keywords

carbon stock changes --- forest --- greenhouse gas inventory --- IPCC --- South Korea --- greenhouse gas emission --- soil respiration --- coastal wetlands --- anthropogenic effect --- CO2 production and diffusion --- soil properties --- CO2 emission --- surface soil layer --- forest soils --- autotrophic respiration --- heterotrophic respiration --- CO2 effluxes --- decomposition --- forest disturbance --- tree mortality --- storm damage --- insect outbreak --- land use types --- soil organic carbon --- soil total nitrogen --- N addition --- soil respiration --- microbe --- subtropical forest --- soil organic carbon --- soil microbial residue --- forest conversion --- natural forest --- assisted natural regeneration --- plantation --- CO2 --- CH4 --- N2O --- soil --- biochar --- sensitivity --- temperature --- stoichiometric ratios --- landform --- rocky desertification --- karst graben basin --- warming --- nitrogen --- greenhouse gas --- soil characteristics --- microbial properties --- soil quality --- successive planting --- generation --- stand age --- clear-cutting --- Larix principis-rupprechtii Mayr --- biochar --- Camellia oleifera --- DCD --- nitrification inhibitor --- nitrous oxide --- calcareous soil --- plum plantation ages --- organic carbon mineralization --- fitting parameters --- organic carbon accumulation --- karst graben basin --- land use pattern --- bacterial community --- next-generation sequencing --- subtropical forest --- calcareous soils --- red soils --- soil CO2 --- carbon source–sink --- CH4 emissions --- CO2 emissions --- climate change mitigation --- global change --- land-use change --- N2O emissions --- soil carbon sequestration

Tropical Forest Ecology and Management for the Anthropocene

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ISBN: 9783039219643 9783039219650 Year: Pages: 242 DOI: 10.3390/books978-3-03921-965-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2020-01-07 09:08:26
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This Special Issue looks forward as well as backward to best analyze the forest conservation challenges of the Caribbean. This is made possible by 75 years of research and applications by the United States Department of Agriculture, International Institute of Tropical Forestry (the Institute) of Puerto Rico. It transforms Holocene-based scientific paradigms of the tropics into Anthropocene applications and outlooks of wilderness, managed forests, and urban environments. This volume showcases how the focus of the Institute’s programs is evolving to support sustainable tropical forest conservation despite uncertain conditions. The manuscripts showcased here highlight the importance of shared stewardship and a long-term, hands-on approach to conservation, research programs, and novel organizations intended to meet contemporary conservation challenges. Policies relevant to the Anthropocene, as well as the use of experiments to anticipate future responses of tropical forests to global warming, are reexamined in these pages. Urban topics include how cities can co-produce new knowledge to spark sustainable and resilient transformations. Long-term results and research applications of topics such as soil biota, migratory birds, tropical vegetation, substrate chemistry, and the tropical carbon cycle are also described in the volume. Moreover, the question of how to best use land on a tropical island is addressed. This volume is intended to be of interest to all actors involved in long-term sustainable forest management and research in light of the historical lessons and future directions that may come out of a better understanding of tropical cities and forests in the Anthropocene epoch.

Keywords

Anthropocene --- Forest Service --- vision --- contemporary conservation --- biomass --- allometry --- volume expansion factors --- soil organic carbon --- tropical forest area --- forest inventory data --- novel forests --- tree plantations --- secondary forests --- mature forests --- dry tropical forests --- humid tropical forests --- tropical deforestation --- annual cycle --- carry over effects --- climate change --- Guánica --- Nearctic-Neotropical --- novel forests --- stoichiometry of leaf litter --- nitrogen fixing trees --- naturalized species --- C/N --- C/P --- and N/P ratios --- Puerto Rico --- Caribbean --- element concentration in leaf litter --- succession --- species dominance --- tropical forests --- invertebrates --- microbiota --- soil biota --- litter --- wood --- latitude --- elevation --- disturbance --- gradients --- tropical karst --- element concentration --- N/P ratios --- Ca/Al relationship --- ?13C --- ?15N --- knowledge co-production --- idiom of co-production --- knowledge infrastructures --- knowledge systems --- knowledge systems analysis --- cities --- land use governance --- Anthropocene --- disturbance --- hurricane --- succession --- long-term --- basal area --- species composition --- trees --- tropical --- Luquillo Experimental Forest --- Caribbean --- land use planning --- tropical agriculture --- tropical forests --- geospatial analyses --- n/a --- landscape conservation --- network governance --- strategic teams --- communications --- leadership --- adaptive management --- tropical forest --- Anthropocene --- U.S. Forest Service Planning Rule --- El Yunque National Forest --- Luquillo Experimental Forest --- introduced species --- leaf C and N densities --- novel forests --- photosynthetic nitrogen use-efficiency --- leaf mass per area --- Tropical Forestry Research --- Long-Term Ecological Research --- Tropical Forest Management --- Tropical Forest Conservation --- Luquillo Experimental Forest --- tropical --- experiments --- manipulations --- large-scale --- Puerto Rico --- Caribbean --- conservation --- American tropics --- long-term ecological research --- tropical forest management --- Anthropocene --- Puerto Rico

Remote Sensing Applications for Agriculture and Crop Modelling

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ISBN: 9783039282265 9783039282272 Year: Pages: 308 DOI: 10.3390/books978-3-03928-227-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geography
Added to DOAB on : 2020-04-07 23:07:08
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Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling,

Keywords

crop residue management --- remote sensing --- satellite images --- hyperspectral sensor --- vegetation index --- yield monitoring --- remote sensing --- proximal sensing --- crop modeling --- soil --- plant --- management zone --- spatial variability --- temporal variability --- precision agriculture --- Á Trous algorithm --- conservation agriculture --- crop inventory --- remote sensing --- spectral-weight variations in fused images --- soil stoichiometry --- land use change --- soil organic carbon --- nitrogen --- Tarim Basin --- SPAD --- leaf nitrogen concentration --- nitrogen nutrition index --- grain yield --- dynamic model --- wheat --- disease --- yield --- septoria tritici blotch --- leaf area index --- crop modelling --- decision support system for agrotechnology transfer (DSSAT) --- Cropsim-CERES Wheat --- sorghum biomass --- prediction modeling --- machine learning --- fAPAR --- Sentinel-2 satellite imagery --- big data technology --- remote sensing --- UAV --- vegetation indices --- relative frequencies --- yield --- precision agriculture --- cultivars --- crop growth model --- data assimilation --- Leaf Area Index --- Sentinel-2 --- EPIC model --- yield estimation --- NDVI --- remote sensing --- GIS --- precision farming --- variable rate technology --- yield mapping --- protein content --- wheat --- canopy temperature depression --- NDVI --- RGB images --- grain yield --- ?13C --- UAV chemical application --- droplet drift --- flat-fan atomizer --- simulation analysis --- control variables --- agricultural land-cover --- multi-spectral --- generalized model --- machine learning --- crop type mapping --- Integrated Administration and Control System --- remote sensing --- hydroponic --- vegetable monitoring --- crop production --- spectral simulation --- hyperspectral data --- n/a --- fractional cover --- irrigation --- satellite --- crop simulation model --- AquaCrop --- yield mapping --- remote sensing --- durum wheat --- precision agriculture --- large cardamom --- remote sensing --- species modelling --- habitat assessment --- climate change

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2020 (2)

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