Tree diversity in a human modified riparian forest landscape in semi-arid Kenya

2019 ◽  
Vol 433 ◽  
pp. 645-655 ◽  
Author(s):  
Christine B. Schmitt ◽  
Daniel Kisangau ◽  
Kennedy W. Matheka
Keyword(s):  
Riparian Forest ◽  
Tree Diversity ◽  
Forest Landscape ◽  
Semi Arid

Land conversions and forest dynamics in a riparian forest zone in south east Nigeria

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Nwabueze Ikenna Igu ◽  
Joseph O. Duluora ◽  
Uzoamaka R. Onyeizugbe
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Agricultural Land ◽  
Riparian Forest ◽  
Agricultural Land Use ◽  
Forest Landscape ◽  
Sparse Vegetation

The rate at which forest ecosystems are lost and modified across tropical landscapes are alarming, yet proper documentation and proactive measures to curtail this still remains a huge challenge in most areas. This research focused on elucidating the ongoing land use change patterns of a riparian forest landscape, its current impacts on the ecosystem and land surface temperature, as well as its likely future scenarios for the zone. LANDSAT images were downloaded for 1988, 2003 and 2018 and used to show the dynamics for the zone, its drivers and their varying temperatures. Maximum Likelihood Classification algorithm was used for the classification and the land-use classes were categorized as: Water body, Farms and Sparse Vegetation, Built-up Areas, Bare Surface, and Thick Vegetation. Furthermore, Markov Chain Analysis was employed for understanding the future patterns of land use change in the zone. Land use categories experienced changes over the three epochs, but among all, farmlands/ sparse vegetation and thick vegetation had the most significant changes from 7.70 to 58.67 percent and 73.56 to 20.58 percent, respectively; implying that much of the forestland use/cover (which constituted the bulk of the land initially; 73.56 percent) were converted to agricultural land use. This same trend at which agriculture grew in the zone was seen to affect the land surface temperature for zone (Pearson correlation coefficient of  0.99 with p = 0.0058 at 0.05 level of significance). Future projection for the zone equally showed that agricultural land use will likely dominate the entire landscape in the coming years and a consequent impact on the climate and ecosystem expected as well. On that note, intensive agricultural practices that seek to maximize allocated farm units were advocated. Such initiatives will help to ensure that agricultural growth is contained within delimited zones so that haphazard cultivations, reductions in ecological value of the forest landscape and consequent climatic impacts could be managed across the region.

scholarly journals SPATIOTEMPORAL DYNAMICS OF SURFACE WATER EXTENT FROM THREE DECADES OF SEASONALLY CONTINUOUS LANDSAT TIME SERIES AT SUBCONTINENTAL SCALE

2016 ◽  
Vol XLI-B8 ◽  
pp. 403-404 ◽  
Author(s):  
M. G. Tulbure ◽  
M. Broich ◽  
Stephen V. Stehman
Keyword(s):  
Surface Water ◽  
Seasonal Variability ◽  
Riparian Forest ◽  
Machine Learning Algorithms ◽  
Landsat 8 ◽  
Forest Site ◽  
Millennium Drought ◽  
Okavango River ◽  
The Impact ◽  
Semi Arid

Surface water is a critical resource in semi-arid areas. The Murray-Darling Basin (MDB) of Australia, one of the largest semi-arid basins in the world is aiming to set a worldwide example of how to balance multiple interests (i.e. environment, agriculture and urban use), but has suffered significant water shrinkages during the Millennium Drought (1999-2009), followed by extensive flooding. Baseline information and systematic quantification of surface water (SW) extent and flooding dynamics in space and time are needed for managing SW resources across the basin but are currently lacking. <br><br> To synoptically quantify changes in SW extent and flooding dynamics over MDB, we used seasonally continuous Landsat TM and ETM+ data (1986 – 2011) and generic machine learning algorithms. We further mapped flooded forest at a riparian forest site that experienced severe tree dieback due to changes in flooding regime. We used a stratified sampling design to assess the accuracy of the SW product across time. <br><br> Accuracy assessment yielded an overall classification accuracy of 99.94%, with producer’s and user’s accuracy of SW of 85.4% and 97.3%, respectively. Overall accuracy was the same for Landsat 5 and 7 data but user’s and producer’s accuracy of water were higher for Landsat 7 than 5 data and stable over time. <br><br> Our validated results document a rapid loss in SW bodies. The number, size, and total area of SW showed high seasonal variability with highest numbers in winter and lowest numbers in summer. SW extent per season per year showed high interannual and seasonal variability, with low seasonal variability during the Millennium Drought. <br><br> Examples of current uses of the new dataset will be presented and include (1) assessing ecosystem response to flooding with implications for environmental water releases, one of the largest investment in environment in Australia; (2) quantifying drivers of SW dynamics (e.g. climate, human activity); (3) quantifying changes in SW dynamics and connectivity for water dependent organisms; (4) assessing the impact of flooding on riparian vegetation health. The approach developed here is globally applicable, relevant to areas with competing water demands (e.g. Okavango River delta, Mekong River Basin). Future work should incorporate Landsat 8 and Sentinel-2 data for continued quantification of SW dynamics.

scholarly journals Biodiversity Conservation Potential of Forests and Trees On Farms In the Agricultural–Forest Mosaic Landscape of Catacamas, Honduras

2022 ◽  
Author(s):  
Marie Ange Ngo Bieng ◽  
Diego Delgado-Rodríguez ◽  
Sergio Vilchez ◽  
Arlene López-Sampson ◽  
Edwin García ◽  
...  
Keyword(s):  
Biodiversity Conservation ◽  
Tree Species ◽  
Agricultural Land ◽  
Riparian Forest ◽  
Agricultural Landscapes ◽  
Tree Diversity ◽  
Secondary Forests ◽  
Mosaic Landscape ◽  
Minimum Diameter ◽  
Forest Mosaic

Abstract Biodiversity decline in the tropics requires the implementation of comprehensive landscape management where agricultural systems are necessarily an integral element of biodiversity conservation. This study evaluates the potential for biodiversity conservation within an intensive livestock-agricultural-forest mosaic landscape in Catacamas, Honduras. Tree sampling was performed in 448 plots set up within different forest and agricultural land uses: secondary forests, agroforestry coffee plantations, agriculture, pastures, live fences and riparian forest. All trees with a minimum diameter at breast height of 10 cm were identified and measured. We characterized their tree structure and diversity, and compared tree diversity between the different uses. The results indicate a high degree of tree species diversity: 375 species identified, belonging to 74 families among the 15,096 trees inventoried across 84.2 hectares, including many rare species (40% of the species registered three individuals or fewer). Biodiversity indices for agroforestry coffee were found equivalent to those for natural secondary forests in the Catacamas landscape. Combining biodiversity conservation and agricultural production is possible in human-pressured tropical landscapes through tree cover maintenance. Enrichment practices combining local producers and technical knowledge may improve tree diversity in agricultural landscapes by prioritizing a mix of forest and introduced tree species (rare and with multiple uses).

Trophic and spatio-temporal niche of the crab-eating fox, Cerdocyon thous (Linnaeus, 1766) (Carnivora: Canidae), in a remnant of the Caatinga in northeastern Brazil

Mammalia ◽  
2016 ◽  
Vol 80 (3) ◽  
Author(s):  
Douglas de Matos Dias ◽  
Adriana Bocchiglieri
Keyword(s):  
Ecological Niche ◽  
Riparian Forest ◽  
Camera Traps ◽  
Northeastern Brazil ◽  
Gallery Forest ◽  
Faecal Samples ◽  
Cerdocyon Thous ◽  
Spatio Temporal ◽  
Natural Monument ◽  
Semi Arid

Abstractis widely distributed in South America and occurs throughout most of Brazil. However, little is known of its ecology in the semi-arid Caatinga biome, and this study aimed to characterise the ecological niche of the species in Sergipe, in the northeastern extreme of the country. The study was conducted over a period of 13 months, at the Grota do Angico Natural Monument (2138 ha), with monthly campaigns of 6 days in arboreal-shrubby caatinga, riparian forest, and grota (humid gallery forest). Sand plots and camera traps were used to collect records of the species, and faecal samples were collected whenever found during the monitoring of the plots. A total of 407 records of

scholarly journals Edaphic Arthropods in Fragment of Riparian Forest in the Semi-Arid of Paraíba

2019 ◽  
Vol 11 (2) ◽  
pp. 236 ◽  
Author(s):  
César Henrique Alves Borges ◽  
Jacob Silva Souto ◽  
Ane Cristine Fortes da Silva ◽  
Lyanne dos Santos Alencar ◽  
Manoella de Queiroz Rodrigues Limeira ◽  
...  
Keyword(s):  
Soil Quality ◽  
Food Supply ◽  
Riparian Forest ◽  
Superficial Layer ◽  
Soil Samples ◽  
Soil Macrofauna ◽  
Tukey Test ◽  
Metal Rings ◽  
Different Depths ◽  
Semi Arid

Important for soil quality, the edaphic fauna is indicative of an environment in equilibrium. The study aimed to identify the macrofauna and mesofauna organisms of the soil in a fragment of riparian forest. The work was carried out in a fragment of ciliary forest on the farm Tamanduá, municipality of Santa Terezinha, Paraíba. The macrofauna was quantified in soil samples collected at different depths (0-5 cm and 5-10 cm) using the TSBF method. For the mesofauna was collected randomly in the same area, samples of soil + litter in the depths 0-5 cm and 5-10 cm using metal rings. The design was completely randomized in a 4 × 2 factorial scheme (4 seasons, 2 depths), with 5 replicates, the means being compared by the Tukey test. The main orders of the macrofauna were: Hymenoptera, Coleoptera, Isoptera, and Enquitreídeos being the order of greater proportion in the two depths to Hymenoptera. There were a higher population and diversity of soil macrofauna in the superficial layer (0-5 cm). For the mesofauna were found in the samples organisms belonging to the groups Acarina and Collembola, being the order Acarina the most representative in the two depths evaluated. The environment of riparian forest presents greater diversity and density of macrofauna and mesofauna of the soil in the layer of 0.0-5.0 cm of depth, which presents greater food supply and conditions favorable to the survival of these organisms.

scholarly journals SPATIOTEMPORAL DYNAMICS OF SURFACE WATER EXTENT FROM THREE DECADES OF SEASONALLY CONTINUOUS LANDSAT TIME SERIES AT SUBCONTINENTAL SCALE

2016 ◽  
Vol XLI-B8 ◽  
pp. 403-404
Author(s):  
M. G. Tulbure ◽  
M. Broich ◽  
Stephen V. Stehman
Keyword(s):  
Surface Water ◽  
Seasonal Variability ◽  
Riparian Forest ◽  
Machine Learning Algorithms ◽  
Landsat 8 ◽  
Forest Site ◽  
Millennium Drought ◽  
Okavango River ◽  
The Impact ◽  
Semi Arid

Surface water is a critical resource in semi-arid areas. The Murray-Darling Basin (MDB) of Australia, one of the largest semi-arid basins in the world is aiming to set a worldwide example of how to balance multiple interests (i.e. environment, agriculture and urban use), but has suffered significant water shrinkages during the Millennium Drought (1999-2009), followed by extensive flooding. Baseline information and systematic quantification of surface water (SW) extent and flooding dynamics in space and time are needed for managing SW resources across the basin but are currently lacking. <br><br> To synoptically quantify changes in SW extent and flooding dynamics over MDB, we used seasonally continuous Landsat TM and ETM+ data (1986 – 2011) and generic machine learning algorithms. We further mapped flooded forest at a riparian forest site that experienced severe tree dieback due to changes in flooding regime. We used a stratified sampling design to assess the accuracy of the SW product across time. <br><br> Accuracy assessment yielded an overall classification accuracy of 99.94%, with producer’s and user’s accuracy of SW of 85.4% and 97.3%, respectively. Overall accuracy was the same for Landsat 5 and 7 data but user’s and producer’s accuracy of water were higher for Landsat 7 than 5 data and stable over time. <br><br> Our validated results document a rapid loss in SW bodies. The number, size, and total area of SW showed high seasonal variability with highest numbers in winter and lowest numbers in summer. SW extent per season per year showed high interannual and seasonal variability, with low seasonal variability during the Millennium Drought. <br><br> Examples of current uses of the new dataset will be presented and include (1) assessing ecosystem response to flooding with implications for environmental water releases, one of the largest investment in environment in Australia; (2) quantifying drivers of SW dynamics (e.g. climate, human activity); (3) quantifying changes in SW dynamics and connectivity for water dependent organisms; (4) assessing the impact of flooding on riparian vegetation health. The approach developed here is globally applicable, relevant to areas with competing water demands (e.g. Okavango River delta, Mekong River Basin). Future work should incorporate Landsat 8 and Sentinel-2 data for continued quantification of SW dynamics.

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