A Hierarchical Machine Learning-Based Strategy for Mapping Grassland in Manitoba’s Diverse Ecoregions DOI Creative Commons
Mirmajid Mousavi, James Kobina Mensah Biney,

Barbara E. Kishchuk

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4730 - 4730

Published: Dec. 18, 2024

Accurate and reliable knowledge about grassland distribution is essential for farmers, stakeholders, government to effectively manage resources from agro-economical ecological perspectives. This study developed a novel pixel-based classification approach using three supervised machine learning (ML) algorithms, which were assessed in the province of Manitoba, Canada. The process involved stages: (1) distinguish between vegetation non-vegetation covers, (2) differentiate non-grassland landscapes, (3) identify specific classes (tame, native, mixed grasses). Initially, this investigated different satellite data, such as Sentinel-1 (S1), Sentinel-2 (S2), Landsat 8 9, individually combined, random forest (RF) method, with best performance at first two steps achieved combination S1 S2. was then utilized conduct support vector (SVM) gradient tree boosting (GTB). In step 3, after filtering out pixels, RF, SVM, GTB classifiers evaluated combined S2 data types. Eighty-nine multitemporal raster-based variables, including spectral bands, SAR backscatters, digital elevation models (DEM), input ML models. RF had highest accuracy 69.96% overall (OA) Kappa value 0.55. After feature selection, variables reduced 61, increasing OA 72.62% 0.58. ranked second, its values improving 67.69% 0.50 72.18% 0.58 selection. impact raster quality on through multisensor image fusion. Grassland Hue, Saturation, Value (HSV) fused images showed higher (59.18%) (0.36) than Brovey Transform (BT) non-fused images. Finally, web map created show results within Soil Landscapes Canada (SLC) polygons, relating soil landscapes providing valuable information decision-makers researchers. Future work may include extending current methodology by considering other influential like meteorological parameters or properties, create comprehensive inventory across whole Prairie ecozone

Language: Английский

Extension of theglmm.hppackage to zero-inflated generalized linear mixed models and multiple regression DOI Creative Commons

Jiangshan Lai,

Weijie Zhu,

Dongfang Cui

et al.

Journal of Plant Ecology, Journal Year: 2023, Volume and Issue: 16(6)

Published: Nov. 23, 2023

Abstract glmm.hp is an R package designed to evaluate the relative importance of collinear predictors within generalized linear mixed models (GLMMs). Since its initial release in January 2022, it has been rapidly gained recognition and popularity among ecologists. However, previous was limited work GLMMs derived exclusively from lme4 nlme packages. The latest extended functions. It integrated results obtained glmmTMB package, thus enabling handle zero-inflated (ZIGLMMs) effectively. Furthermore, introduced new functionalities commonality analysis hierarchical partitioning for multiple regression by considering both unadjusted R2 adjusted R2. This paper will serve as a demonstration applications these functionalities, making them more accessible users.

Language: Английский

Citations

50
Integrating farmers’ views, field soil erosion assessment, and pot experiments to evaluate different agroforestry systems in Timor-Leste DOI

Marçal Gusmão,

Zevacio Fernandes,

J. P. dos Santos

et al.

Agroforestry Systems, Journal Year: 2025, Volume and Issue: 99(3)

Published: Feb. 17, 2025

Language: Английский

Citations

1
Monitoring and influencing factors of grassland livestock overload in Xinjiang from 1982 to 2020 DOI Creative Commons

Lisha Ma,

Jianghua Zheng,

J.E. Perez Peñ

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: March 27, 2024

It is crucial to estimate the theoretical carrying capacity of grasslands in Xinjiang attain a harmonious balance between grassland and livestock, thereby fostering sustainable development livestock industry. However, there has been lack quantitative assessments that consider long-term, multi-scale grass-livestock its impacts region. This study utilized remote sensing empirical models assess grasslands. The spatiotemporal variations from 1982 2020 were analyzed using Sen Mann-Kendall tests, as well Hurst index. also examined county-level inter-annual trends. Additionally, employed geographic detector method explore influencing factors. results showed that: (1) overall an upward trend 2020; spatial distribution gradually decreased north south east west. In seasonal scale large small is: growing season > summer spring autumn winter; at monthly scale, strongest July. different types largest smallest are: meadow alpine subalpine plain steppe desert steppe. future, will decrease. (2) From 1988 2020, average index was 2.61%, showing increase. At county level, number overloaded counties increasing trend, rising 46 58 2020. (3) Both single interaction factors detectors annual precipitation, altitude soil organic matter main drivers dynamics load Xinjiang. this can provide scientific guidance decision-making basis for achieving coordinated resources animal husbandry

Language: Английский

Citations

6
Effect of Environmental Factors on Grassland Biodiversity and Biomass in the Zhangye Region DOI Creative Commons
Yazhou Liu,

Meiling Zhang,

Youyi Zhao

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(2), P. 476 - 476

Published: Feb. 16, 2025

Grassland ecosystems, which are essential for biodiversity and ecosystem services, increasingly vulnerable to degradation, primarily driven by climate change soil variability. Understanding the influence of environmental factors on these indicators is critical addressing grassland degradation promoting sustainable land management practices. This study investigates factors, particularly temperature, precipitation, properties, species diversity biomass in arid semi-arid grasslands Zhangye region, China. Field sampling was performed at 63 sites collect data vegetation characteristics, biomass, complemented data. mechanisms through abiotic diversity. The results indicate that moisture relative humidity, as related significantly positively correlated with both thereby highlighting stress induced temperature ecosystems. Furthermore, bulk density pH were identified mediating indirectly their impact moisture. These findings underscore complex role climate–soil interactions shaping ecosystems offer insights developing adaptive strategies manage mitigate response change.

Language: Английский

Citations

0
Impacts of free-ranging yaks on habitat occupancy and population density of a high-mountain rare pheasant species DOI Creative Commons

E Gaqie,

Yuehong Cheng,

Peng Yang

et al.

Avian Research, Journal Year: 2025, Volume and Issue: unknown, P. 100238 - 100238

Published: March 1, 2025

Language: Английский

Citations

0
Best Management Practices for Intensive Grazing Systems: Southeast Missouri Case Study DOI Creative Commons
Indi Braden, Michael Aide

IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 3, 2024

Livestock operations have many challenges. In addition to animal health and genetics, producers must also manage healthy environments for raising their animals. Forage-based systems allow use solar energy as one input overall production through the photosynthetic potential of forage species. Intensive grazing can opportunities more efficiency forages over space time when managed properly. Producers consider needs livestock, seasonal aspects production, environmental resources available. Rotating animals from paddock requires producer make decisions daily. Best management practices used in livestock aid quality improvement, soil health, practical systems. Several methods are employed at Southeast Missouri State University Agriculture Research Center, Gordonville, Missouri, United States America. Some these best place Center include following: smaller paddocks with rotational schedules, access water protected streambanks, movable shade areas, cool-season warm-season species, specific areas winter feeding, more. Providing knowledge examples allows informed system goals based on science, environment, economics.

Language: Английский

Citations

1
Impact of precipitation and grazing on recovery of plant vegetation in temperate grasslands DOI
Xi Lin,

Hongbin Zhao,

Shengwei Zhang

et al.

Land Degradation and Development, Journal Year: 2023, Volume and Issue: 35(3), P. 1178 - 1191

Published: Nov. 13, 2023

Abstract Grasslands support a rich diversity that plays pivotal role in ecological balance, carbon sequestration, and climate regulation. Grassland ecosystems are facing loss of biodiversity decline soil function due to precipitation variations caused by change. However, grassland species not clearly known, especially under the combined effects grazing. Based on 5‐year split‐plot experiment with two grazing regimes (i.e., moderate prohibition) along three controls (ambient ±50% precipitation) Inner Mongolian grasslands, we researched response variability prohibition vegetation indices investigated community composition biomass these factors. Five years results showed increasing resulted significant increase coverage perennial forbs, annual biennial plants, Gramineae. Grazing increased significantly richness compared all other treatment combinations. Interestingly, exclusion reduced percentage Amaryllidaceae, presence altered precipitation. The typical was correlated volumetric water content (VWC), bulk density (SBD) pH, organic (SOC), total nitrogen (TN). VWC, SBD, TN were found be most factors affecting Partial canonical ordination revealed moisture, density, SOC had correlation both conditions. These suggested alterations can change ecosystem plant communities, leading close relationship between properties. Our underline importance for characteristics environmental Eurasian steppe ecosystem.

Language: Английский

Citations

3
The path of human civilization in the Anthropocene: Sustainable growth or sustainable development? DOI
Jan Winkler, Magdalena Daria Vaverková, Eugeniusz Koda

et al.

The Anthropocene Review, Journal Year: 2023, Volume and Issue: 11(3), P. 676 - 683

Published: Dec. 22, 2023

This paper discusses the difference between growth and development in plants, how these concepts can be applied to human civilization. While refers quantitative gain of biomass, is characterized by qualitative changes specialization functioning cells, tissues, organs. In society, often prioritized over development, as evidenced focus on gross domestic product without considering its social environmental impacts. Waste, which produced during consumption, a significant problem for civilization it contributes pollution degradation. Waste management finding new uses waste are important efforts utilize production; however, their effectiveness unclear. Sustainable society should creating systems inspired nature, achieved reducing production increasing share utilizable biological processes. The functional interconnection decomposer (waste) producers (raw materials) essential achieving sustainable development. Ultimately, this path leads reduction improves activities, thereby threats ecosystems.

Language: Английский

Citations

2
Reasonable grazing may balance the conflict between grassland utilization and soil conservation in the semi-arid hilly areas, China DOI

Sun Hui,

Yunge Zhao,

Liqian Gao

et al.

Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(8), P. 1130 - 1146

Published: Aug. 1, 2024

Language: Английский

Citations

0
Forecasting of Grasslands Distribution on Mount Zireia Using Ecological Niche Modeling and Future Climatic Scenarios DOI Creative Commons
Maria Karatassiou, Afroditi Stergiou, Dimitrios Chouvardas

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2126 - 2126

Published: Dec. 8, 2024

Grassland ecosystems cover a high percentage of the terrestrial habitats Earth and support livelihood well-being at least one-fifth human population. Climate change activities are causing increasing pressure on arid semi-arid regions. Land use/cover significantly affects function distribution grasslands, showing diverse patterns across space time. The study investigated spatial grasslands Mount Zireia (Peloponnesus, Greece) using MaxEnt modeling based CMIP6 models (CNRM-CM6 CCMCC-ESM2) two Shared Socioeconomic Pathways (SSP 245 SSP 585) covering period 1970–2100. results from current (1970–2000) several future periods (2020–2100) revealed that model provided highly accurate forecasts. grassland was found to be impacted by climate change, with impacts varying period, scenario, used. In particular, CNRM-CM6-1 forecasts substantial increase in higher elevations up 2100 m asl. research emphasizes importance exploring combined grazing intensity land use changes mountainous grasslands.

Language: Английский

Citations

0