scholarly journals SISTEM AGROFORESTRI DATARAN TINGGI DAN DATARAN RENDAH KABUPATEN MINAHASA SELATAN PROVINSI SULAWESI UTARA

EUGENIA ◽  
2018 ◽  
Vol 24 (1) ◽  
Author(s):  
Andreas A.T. Suli ◽  
Jailani Husain ◽  
Hengki D. Walangitan
Keyword(s):  
Carbon Sequestration ◽  
Plant Species ◽  
Agroforestry System ◽  
Agroforestry Systems ◽  
Agroecological Zones ◽  
Highland Agroforestry

ABSTRACT South Minahasa Regency have a topography that varied from lowland to highland. Until now there has been no research on differences in the performance of agroforestry systems of lowland and highland agroecological zones. The purposes of this study were to analyze the diversity of plant species and to estimate the biomass amount of agroforestry systems at lowland and highland agroecological zones. The research was carried out from October to December 2017 at two different agroecological zones, namely; the highland (Mokobang Village) and the lowland (Blongko Village). The results showed that there were 21 plant species at lowland having 4 plant species in average, while 30 plant species were found in the highland with 6 plant species in average. The biomass of 0.25 to 13.11 Mg ha-1 with an average of 3.47 Mg ha-1 was found at lowland, whereas the highland contained 0.34 to 98.65 Mg ha-1 with an average of 27.40 Mg ha-1 biomass. It is concluded that in South Minahasa Regency the highland agroforestry system had more plant species and had more carbon sequestration than that of lowland.Keywords : agroforestry, highland zone, lowland zone

scholarly journals Productivity of Pangi (Pangium edule Reinw.) and biodiversity of agroforestry systems at various altitudes in Toraja Regency, South Sulawesi

2021 ◽  
Vol 886 (1) ◽  
pp. 012062
Author(s):  
Syamsuddin Millang
Keyword(s):  
Sea Level ◽  
Plant Species ◽  
Plant Density ◽  
Fruit Production ◽  
Agroforestry System ◽  
Agroforestry Systems ◽  
Survey Method ◽  
Average Height ◽  
Sample Plot ◽  
Different Altitudes

Abstract There are two important things that farmers consider in selecting and developing plant species in their agroforestry system, namely productivity and suitability to the site. This study aims to determine the productivity of the pangi crop and the biodiversity of the agroforestry system at different altitudes. This research was conducted from June to November 2018 at three different altitudes, namely in Lembang Palesan (Rembon District) which represents an altitude of <600 m above sea level, Lembang Turunan (Sangalla District) which represents an altitude of 800-850 m above sea level, and Lembang Gasing (Mengkendek District) which represents an altitude of > 1000 m above sea level. The research method used is a survey method with the placement of sample plots by Purposive Sampling. The sample plot size is 20m x 50m or 0.1 ha. At each different altitude, 10 sample plots were made, so the number of sample plots was 30. The parameters measured were pangi fruit production, tree diameter and height and recorded all plant species in the sample plot. Data analysis was carried out quantitatively and descriptively, while agroforestry system plant species diversity was identified using vegetation analysis methods. The results showed that the fruit production of the pangi plant, density, LBDS and diameter of the pangi tree were significantly different at each different altitude and the largest was at an altitude of 800-850 m above sea level, but the number of plant species and the diversity of plant species at each altitude were relatively the same in the medium category, as well as the density of all types of plants, and the average height of pangi trees were not significantly different at each different altitude. Thus, it is not recommended that pangi crop be developed at an altitude above 850 m above sea level.

scholarly journals Carbon storage potential of shelter belt agroforestry system in northern transitional zone of Karnataka, India

2017 ◽  
Vol 9 (3) ◽  
pp. 1390-1396
Author(s):  
K. R. Swamy ◽  
D. Shivaprasad ◽  
Shivaputra Bammanahalli ◽  
Noorandappa Lamani ◽  
H. Shivanna
Keyword(s):  
Carbon Sequestration ◽  
Tree Species ◽  
Carbon Dioxide Concentration ◽  
Agroforestry System ◽  
Agroforestry Systems ◽  
Tree Cover ◽  
Acacia Auriculiformis ◽  
Agricultural Field ◽  
Ground Biomass ◽  
Below Ground

Carbon sequestration has been suggested as a means to mitigate the increase in atmospheric carbon dioxide concentration. As agrisilviculture systems is one of the better options for stocking of carbon in plants and in soil. In the present study, carbon sequestration was quantified both biomass as well as in soil of agrisilviculture sys-tem six different tree species were selected such as, Pongamia pinnata, Dalbergia sissoo, Acacia auriculiformis, Tectona grandis, Casuarina equisitifolia, Azadirachta indica in shelterbelt of agroforestry system in arid region of Karnataka. Among six different tree species planted under shelterbelt, the growth performance with respect to gbh, height, clear bole height and basal area was highest in A. auriculiformis and A. indica. While maximum above ground biomass was observed in A. auriculiformis (59.75 t ha-1) followed by T.grandis (56.62 t ha-1), respectively. Whereas, below ground biomass was highest in T. grandis (20.25t ha-1) followed by A. auriculiformis (14.75t ha-1). Above ground carbon sequestration was highest in A. auriculiformis (13.30 t ha-1) followed by T. grandis (12.20 t ha-1), respectively. Whereas, below ground carbon sequestration was more in T. grandis (4.35 t ha-1) followed by A. auriculiformis (3.95 t ha-1). The Shelterbelt system sequestered 0.43 to 1.34% soil organic carbon stock in different depth. The carbon sequestered in different tree species was varying from 3.48 tons to 17.25 t ha-1.Growing tree crops in shelterbelts, bunds in the agroforestry systems will enhance accumulation of carbon stocking and provide additional benefits to the farmer’s income. It also regulates microclimate and increases the tree cover in agricultural field.

The Coffee Agroforestry System in Mexico

2020 ◽  
Vol 13 (11) ◽  
Author(s):  
Victoria Cessa-Reyes ◽  
Octavio Ruiz-Rosado ◽  
Liliana Alcudia-Armida
Keyword(s):  
Carbon Sequestration ◽  
Soil Erosion ◽  
Design Methodology ◽  
Current Knowledge ◽  
Agroforestry System ◽  
Agroforestry Systems ◽  
Environmental Services ◽  
Coffee Plantations ◽  
Coffee Agroforestry ◽  
Water Catchment

Objective: To identify the current knowledge about the coffee agroforestry systems, with emphasis on Mexico. Design/methodology/approach: A documentary internet search based on Google® was carried out using the keywords "agroforestry and coffee plantations”, and “coffee agroforestry systems in Mexico". Results: As a result, 88 documents were obtained; 91% of the publications were in Spanish, 40% are from Colombia, 24% from Mexico, 7% from Costa Rica and the last 29% from other countries. Limitations of the study/implications: This topic is studied by several institutions, although it is not part of a systematic line of study. Findings/Conclusions: Most of the research are focused on the importance of the coffee agroforestry system as a provider of environmental services, standing out the carbon sequestration, water catchment, biodiversity reservation and soil erosion buffering.

scholarly journals ALLELOPATHIC EFFECTS OF ROSE WOOD, GUAVA, EUCALYPTUS, SACRED FIG AND JAMAN LEAF LITTER ON GROWTH AND YIELD OF WHEAT ( Triticum aestivum L.) IN A WHEAT-BASED AGROFORESTRY SYSTEM

2017 ◽  
Vol 35 (0) ◽  
Author(s):  
J. IQBAL ◽  
H.A. RAUF ◽  
A.N. SHAH ◽  
B. SHAHZAD ◽  
M.A Bukhari
Keyword(s):  
Grain Yield ◽  
Leaf Litter ◽  
Eucalyptus Camaldulensis ◽  
Dry Weight ◽  
Triticum Aestivum L ◽  
Agroforestry System ◽  
Agroforestry Systems ◽  
Growth And Yield ◽  
Syzygium Cumini ◽  
Allelopathic Effects

ABSTRACT Selection of tree species under agroforestry systems is crucial to sustain the productivity of a crop. In present study, allelopathic effects of the leaf litters of 5 trees named Rose wood (Dalbergia sissoo), Guava (Pisidium guajava), Eucalyptus (Eucalyptus camaldulensis), Sacred fig (Ficus religiosa) and Jaman (Syzygium cumini) species on wheat growth and yield was examined. Leaf litter of each tress species was mixed in soil with two doses @ 100 and 200 g of leaves of each species per pot. Higher shoot length, shoot dry weight, number of spikelets per spike and biological yield were recorded in 200 g sun dried Jaman (Syzygium cumini) leaves. Total number of tillers per plant and number of ears per plant were higher under the application of Eucalyptus camaldulensis leaves (200 g sun dried) as compared to other treatments. Spike length, grain yield per pot, number of grains per pot and harvest index were maximum in 200 g sun-dried Sacred fig (Ficu sreligiosa) leaves. Majority of the parameters were promoted at lower doses of leaves per pot, however, at higher doses they started inhibiting the growth and grain yield of wheat.

scholarly journals High organic inputs explain shallow and deep SOC storage in a long-term agroforestry system – Combining experimental and modeling approaches

2017 ◽  
Author(s):  
Rémi Cardinael ◽  
Bertrand Guenet ◽  
Tiphaine Chevallier ◽  
Christian Dupraz ◽  
Thomas Cozzi ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Priming Effect ◽  
Crop Residues ◽  
Triticum Turgidum ◽  
Juglans Regia ◽  
Farming System ◽  
Agroforestry System ◽  
Agroforestry Systems ◽  
Root Senescence ◽  
Soc Stocks

Abstract. Agroforestry is an increasingly popular farming system enabling agricultural diversification and providing several ecosystem services. In agroforestry systems, soil organic carbon (SOC) stocks are generally increased, but it is difficult to disentangle the different factors responsible for this storage. Organic carbon (OC) inputs to the soil may be larger, but SOC decomposition rates may be modified owing to microclimate, physical protection, or priming effect from roots, especially at depth. We used an 18-year-old silvoarable system associating hybrid walnut trees (Juglans regia × nigra) and durum wheat (Triticum turgidum L. subsp. durum), and an adjacent agricultural control plot to quantify all OC inputs to the soil – leaf litter, tree fine root senescence, crop residues, and tree row herbaceous vegetation –, and measure SOC stocks down 2 m depth at varying distances from the trees. We then proposed a model that simulates SOC dynamics in agroforestry accounting for both the whole soil profile and the lateral spatial heterogeneity. OC inputs to soil were increased by about 40 % (&amp;plus;1.11 t C ha−1 yr−1) down to 2 m depth in the agroforestry plot compared to the control, resulting in an additional SOC stock of 6.3 t C ha−1 down to 1 m depth. The model described properly the measured SOC stocks and distribution with depth. It showed that the increased inputs of fresh biomass to soil explained the observed additional SOC storage in the agroforestry plot. Moreover, modeling revealed a strong priming effect that would reduce the potential SOC storage due to higher organic inputs in the agroforestry system by 75 to 90 %. This result questions the potential of soils to store large amounts of carbon, especially at depth. Deep-rooted trees modify OC inputs to soil, a process that deserves further studies given its potential effects on SOC dynamics.

scholarly journals Species ethnobotanical values rather than regional species pool determine plant diversity in agroforestry systems

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daniel K. N’Woueni ◽  
Orou G. Gaoue
Keyword(s):  
Species Diversity ◽  
Plant Species ◽  
Plant Diversity ◽  
Agroforestry Systems ◽  
Natural Vegetation ◽  
Species Pool ◽  
Higher Plant ◽  
Natural Habitats ◽  
Natural Systems ◽  
Regional Species Pool

AbstractThe conversion of natural systems into farms and agroecosystems is the main cause of biodiversity loss. In human-dominated landscapes, understanding the interactions between agroforestry systems and adjacent natural vegetation is fundamental to developing sustainable agricultural systems. Species can move between these two systems with natural systems providing the regional pool of species that shape the agricultural values and conservation value of the agroforestry systems. We investigated the influence of neighboring natural habitats on traditional agroforestry systems in the buffer zone of Pendjari Biosphere Reserve in Benin to understand the contribution of regional processes on the quality of agroforestry systems. We expected that agroforestry parklands adjacent to natural vegetation with high species diversity will also have higher plant species diversity. We found no similarity in plant species composition between agroforestry systems and adjacent natural habitats. A small proportion of species in adjacent natural habitats were found in agroforestry systems. The proportion of shared species was not significantly influenced by plant diversity in adjacent natural habitats or the distance from the agroforestry systems to the natural adjacent habitat. However, plant diversity in agroforestry systems was strongly associated with site ethnobotanical values indicating that farmers act as a supplemental but severe environmental filter of the regional species pool. Our study suggests that promoting the plantation of plants with high ethnobotanical use-value is a potentially viable strategy for sustainable agriculture and ecological restoration in Biosphere reserves.

scholarly journals Rice cultivar selection in an agroforestry system through GGE-biplot and EBLUP

2021 ◽  
Vol 22 (11) ◽  
Author(s):  
Taufan Alam ◽  
Priyono Suryanto ◽  
Supriyanta Supriyanta ◽  
Panjisakti Basunanda ◽  
Rani Agustina Wulandari ◽  
...  
Keyword(s):  
Rice Cultivar ◽  
Agroforestry System ◽  
Agroforestry Systems ◽  
Soil Types ◽  
Environment Interaction ◽  
Rice Cultivars ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Cultivar Selection ◽  
Melaleuca Cajuputi

Abstract. Alam T, Suryanto P, Supriyanta, Basunanda P, Wulandari RA, Kastono D, Widyawan MH, Nurmansyah, Taryono. 2021. Rice cultivar selection in an agroforestry system through GGE-biplot and EBLUP. Biodiversitas 22: 4750-4757. Genotype-by-environment interaction (GEI) causes differences in the productivity of rice cultivars in agroforestry systems. For this reason, the stability of rice cultivars is an important aspect that should be considered before a cultivar is recommended to farmers. Superior genotypes and ideal environments are commonly identified using two statistical models, namely, genotype–genotype-by-environment biplot (GGE-biplot) and empirical best linear unbiased prediction (EBLUP). In this study, 15 rice cultivars were evaluated in terms of their productivity and stability in three soil types (Lithic Haplusterts, Ustic Epiaquerts, and Vertic Haplustalfs) in an agroforestry system with kayu putih (Melaleuca cajuputi) in 2019 and 2020 at the Menggoran Forest Resort, Playen Forest Section, Yogyakarta Forest Management District, Indonesia. The cultivars were treated as random effects to select and obtain the EBLUP of the best cultivars in each soil type. The EBLUP revealed that Situ Patenggang showed the highest yields of 4.887 and 5.456 tons ha?1 in Lithic Haplusterts and Vertic Haplustalfs, respectively. GM 28 exhibited the highest yield of 6.492 tons ha?1 in Ustic Epiaquerts. Ciherang, GM 2, GM 8, GM 11, GM 28, Inpari 6 Jete, Inpari 33, IR-64, and Way Apo Buru were classified as stable and fairly stable cultivars, whereas the other cultivars were unstable. Therefore, rice cultivars with high yields in specific soil types should be selected.

scholarly journals Predictive Models to Estimate Carbon Stocks in Agroforestry Systems

Forests ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1240
Author(s):  
Maria Fernanda Magioni Marçal ◽  
Zigomar Menezes de Souza ◽  
Rose Luiza Moraes Tavares ◽  
Camila Viana Vieira Farhate ◽  
Stanley Robson Medeiros Oliveira ◽  
...  
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Carbon Stock ◽  
Agroforestry System ◽  
Agroforestry Systems ◽  
Forest Fragment ◽  
Random Forest Algorithm ◽  
Land Use Systems ◽  
Physical And Chemical Variables ◽  
Physical And Chemical

This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which contribute to the greenhouse effect, as well as promoting the maintenance of agricultural productivity. Our other goal was to predict the carbon stock, according to different land use systems, from physical and chemical soil variables using the Random Forest algorithm. We carried out our study at an Entisols Quartzipsamments area with a completely randomized experimental design: four treatments and six replites. The treatments consisted of the following: (i) an agroforestry system developed for livestock, (ii) an agroforestry system developed for fruit culture, (iii) a conventional pasture, and (iv) a forest fragment. Deformed and undeformed soil samples were collected in order to analyze their physical and chemical properties across two consecutive agricultural years. The response variable, carbon stock, was subjected to a boxplot analysis and all the databases were used for a predictive modeling which in turn used the Random Forest algorithm. Results led to the conclusion that the agroforestry systems developed both for fruit culture and livestock, are more efficient at stocking carbon in the soil than the pasture area and forest fragment undergoing natural regeneration. Nitrogen stock and land use systems are the most important variables to estimate carbon stock from the physical and chemical variables of soil using the Random Forest algorithm. The predictive models generated from the physical and chemical variables of soil, as well as the Random Forest algorithm, presented a high potential for predicting soil carbon stock and are sensitive to different land use systems.

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