Search Results - "topographical"

Land use affects total dissolved nitrogen and nitrate concentrations in tropical montane streams in Kenya by Jacobs, S.R., Breuer, Lutz, Butterbach-Bahl, Klaus, Pelster, David E., Rufino, Mariana C.

“…DOC concentrations increased with catchment area and precipitation and decreased with specific discharge, drainage density and topographic wetness index. Precipitation and specific discharge were also strong predictors for DON concentrations, with an additional small positive effect of tree cover. …”
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Landscape approach to assess key soil functional properties in the highlands of Cameroon: Repercussions of spatial relationships for land management interventions by Takoutsing, B., Martín, J.A.R., Weber, John C., Shepherd, Keith D., Sila, Andrew M., Tondoh, Jérôme E.

“…SOC and N decreased in the order of forest > grassland > fallow > croplands > pasture due to inherent soil properties, anthropogenic activities, land cover/land use and topographic factors. Kriged maps provided detailed visualization of soil properties at landscape scale, and helped to identify critical areas for targeted land management interventions to improve land quality. …”
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Topography, soil carbon-nitrogen ratio and vegetation in boreal coniferous forests at the landscape level by Chaminade, Guillermo

“…Topography was evaluated through the Topographic Wetness Index (Beven & Kirkby, 1979), which was calculated from a 5 m digital elevation model derived from airborne laser scanning (LIDAR), and vegetation data was obtained from a digital forest database. …”
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Movement ecology of Golden eagles(Aquila crysaetos) and risks associated with wind farm development by Hedfors, Rebecka

“…I studied the movement ecology of Golden eagles by using data from 31 GPS transmitter equipped Golden eagles. Topographic and life history variables were used to explain the patterns of flight height using Generalized Linear Mixed Models (GLMMs). …”
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Digital soil mapping of metals and metalloids in croplands using multiple geospatial data and machine learning, implemented in GEE, for the Peruvian Mantaro Valley by Pizarro Carcausto, Samuel, Vera Vilchez, Jesús Emilio, Huamani, Joseph, Cruz, Juancarlos, Lastra Paucar, Sphyros Roomel, Solórzano Acosta, Richard Andi, Verástegui Martínez, Patricia

“…Additionally, each element analyzed has a different combination of environmental covariates as predictor, mainly soil, climate, topographic and distance variables especially croplands close to rivers, with less importance for spectral variables. …”
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Modeling the current and future habitat suitability of Neltuma pallida in the dry forest of northern Peru under climate change scenarios to 2100 by Barboza Castillo, Elgar, Bravo Morales, Nino, Cotrina Sanchez, Alexander, Salazar Coronel, Wilian, Gálvez Paucar, David, Gonzales, Jhony, Saravia Navarro, David, Valqui Valqui, Lamberto, Cárdenas Rengifo, Gloria Patricia, Ocaña Reyes, Jimmy Alcides, Cruz Luis, Juancarlos, Arbizu Berrocal, Carlos Irvin

“…A total of 132 forest presence records and 10 variables (bioclimatic, topographic, and soil) were processed and selected to obtain the current and future distribution for 2100, using Google Earth Engine (GEE), RStudio, and MaxEnt. …”
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Ecological and carcinogenic risk assessment of potentially toxic elements in rangelands and croplands around Lake Junin (Peru): Integrating remote sensing, machine learning, and la... by Pizarro Carcausto, Samuel Edwin, Requena Rojas, Edilson Jimmy, Barboza, Elgar, Peña Elme, Eunice Dorcas, Arias Arredondo, Alberto Gilmer, Ccopi Trucios, Dennis

“…Using 211 soil samples, we integrated remote sensing, land cover classification, and Random Forest machine learning models with spectral, edaphic, topographic, and proximity-based environmental covariates to predict contamination patterns and assess risk. …”
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Territorial zoning as a strategy for sustainable natural resource management in Cajamarca, Northwestern Peru by Gómez Fernández, Darwin, Atalaya Marin, Nilton, Arce Inga, Marielita, Tineo Flores, Daniel, Fernandez Jibaja, Jorge Antonio, Taboada Mitma, Víctor Hugo, Cabrera Hoyos, Héctor Antonio, Cruz Luis, Juancarlos Alejandro, Goñas Goñas, Malluri

“…To address this issue, we assessed the territorial suitability of the Cajamarca region for coffee and cocoa cultivation using 18 subcriteria grouped into climatic, edaphological, topographic, and socioeconomic categories. To reduce subjectivity and improve consistency in variable comparisons, we applied multicriteria evaluation techniques, including the analytical hierarchy process (AHP) and Shannon entropy method. …”
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Mapping soil organic carbon content in Patagonian forests based on climate, topography and vegetation metrics from satellite imagery by Martínez Pastur, Guillermo José, Aravena Acuña, Marie Claire, Silveira, Eduarda M.O., Von Müller, Axel, La Manna, Ludmila, González Polo, Marina, Chaves, Jimena Elizabeth, Cellini, Juan Manuel, Lencinas, María Vanessa, Radeloff, Volker C., Pidgeon, Anna Michle, Peri, Pablo Luis

“…Our objective was to model SOC stocks within 30 cm depth in Patagonian forests based on climatic, topographic and vegetation productivity measures from satellite images, including Dynamic Habitat Indices and Land Surface Temperature derived from Landsat-8. …”
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Modelling soil carbon content in south Patagonia and evaluating changes according to climate, vegetation, desertification and grazing by Peri, Pablo Luis, Rosas, Yamina Micaela, Ladd, Brenton, Toledo, Santiago, Lasagno, Romina Gisele, Martínez Pastur, Guillermo José

“…The objectives in this study were to model SOC (30 cm) stocks at a regional scale using climatic, topographic and vegetation variables, and to establish a baseline that can be used as an indicator of rangeland condition. …”
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Biodiversity potential of Nothofagus forests in Tierra del Fuego (Argentina): tool proposal for regional conservation planning by Martínez Pastur, Guillermo José, Peri, Pablo Luis, Soler Esteban, Rosina Matilde, Schindler, Stefan, Lencinas, María Vanessa

“…Correlation among environmental, topographic and forest landscape variables were discussed, as well as the marginality and the specialization of the indicative species. …”
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Landscape positions dictating crop fertilizer responses in wheat-based farming systems of East African Highlands by Amede, Tilahun, Gashaw, Tadesse, Legesse, Gizachew, Tamene, Lulseged D., Mekonen, Kindu, Thorne, Peter J., Schulz, Steffen

“…The results indicated that the landscape position could be considered as a proxy indicator for targeted fertilizer application, particularly in farms with undulating topographic features. Hillslopes are better served by the application of organic fertilizers along with conservation measures as applying higher rates of mineral fertilizer in hillslopes would rather increase the risk of downstream nutrient movement.…”
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Data-driven similar response units for agricultural technology targeting: An example from Ethiopia by Tamene, Lulseged D., Abera, Wuletawu, Bendito, Eduardo, Erkossa, Teklu, Tariku, Meklit, Sewnet, Habtamu, Tibebe, Degefie, Sied, Jema, Feyisa, Gudina, Wondie, Menale, Tesfaye, Kindie

“…Ethiopia has heterogeneous topographic, climatic and socio-ecological systems. …”
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Regional drivers of diversification in the late Quaternary in a widely distributed generalist species, the common pheasant Phasianus colchicus by Liu, S., Liu, Y., Jelen, E., Alibadian, M., Yao, C.-T., Li, X., Kayvanfar, N., Wang, Y., Vahidi, F.S.M., Han Jianlin, Sundev, G., Zhang, Z., Schweizer, M.

“…One lineage in south‐central China is the result of long‐term isolation within a climatically stable but topographically complex region. In lineages from arid Central Asia and China, range expansions were impeded by repeated population fragmentation during dry glacial periods and by recent aridification.Spatio‐temporal phylogeographic frameworks of widespread taxa such as the common pheasant provide valuable opportunities to identify divergent drivers of regional diversification. …”
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Understanding trade-offs and synergies among soil functions to support decision-making for sustainable cultivated land use by Zhao, Rui, Gabriel, Jose Luis, Martin, Jose Antonio Rodriguez, Feng, Zhe, Wu, Kening

“…This study collected soil, topographic landform, climate, and management data from 151 fields in four counties and three climatic zones in China. …”
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A comprehensive evaluation of satellite-based and reanalysis soil moisture products over the upper Blue Nile Basin, Ethiopia by Alaminie, A. A., Annys, S., Nyssen, J., Jury, M. R., Amarnath, Giriraj, Mekonnen, M. A., Tilahun, Seifu A.

“…Using Spearman’s rank correlation coefficient (rs), SMAP (rs = 0.68) and SMOS (rs = 0.67) identified as the most accurate soil moisture products, with SMOS excelling in spatial representation and closely aligning with the Topographic Wetness Index (TWI). However, the lack of sufficient in situ monitoring networks limits the ability to perform a thorough evaluation. …”
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Famine and food insecurity in Ethiopia by von Braun, Joachim, Olofinbiyi, Tolulope

“…The country has a tropical monsoon climate characterized by wide topographic-induced variations. With rainfall highly erratic, Ethiopia is usually at a high risk for droughts as well as intraseasonal dry spells. …”
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A crop-specific and time-variant spatial framework for characterizing rainfed wheat production environments in Ethiopia by Gelagay, Habtamu S., Leroux, Louise, Tamene, Lulseged, Chernet, Meklit T., Blasch, Gerald, Tibebe, Degefie, Wuletawu Abera, Sida, Tesfaye S., Fantaye, Kindie Tesfaye, Corbeels, Marc, Silva, João Vasco

“…Clustering was based on key biophysical variables, including climatic, soil, topographic, and vegetation indices derived from satellite images that capture crop growth and development over space and time. …”
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The nexus between refugee settlements and environmental degradation in the Somali Region, Ethiopia by Mekuria, Wolde, Girma, R., Seid, Abdulkarim, Ruckstuhl, Sandra

“…Using satellite imagery, rainfall, topographic, and soil data (1985–2024) with ArcGIS, buffer zones of 0–5 km, 5–10 km, and 10–15 km around camps were analyzed for land use change, erosion (RUSLE), and degradation neutrality (SDG indicators). …”
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An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor by Gumbricht, Thomas, Román Cuesta, Rosa María, Verchot, Louis V., Herold, Martin, Wittmann, Florian, Householder, Ethan, Herold, Nadine, Murdiyarso, Daniel

“…Africa hosts more peat than previously reported but climatic and topographic contexts leave it as the least peat-forming continent. …”
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