Ecological Informatics

Papers
(The TQCC of Ecological Informatics is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Sampling biases across interaction types affect the robustness of ecological multilayer networks278
Spatial and temporal evolution of heatwaves in Taiwan in a changing climate using multi-dimensional complementary ensemble empirical mode decomposition188
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of Bangladesh171
Bayesian networks as a novel tool to enhance interpretability and predictive power of ecological models160
Evaluation of earth observation datasets for LST trends over India and its implication in global warming137
Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach126
Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems124
Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS)121
Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier119
Robustness and limitations of maximum entropy in plant community assembly112
A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning109
Remote sensing algorithm for dissolved organic carbon in the Laptev Sea: Correction of photobleaching effect using spectral slope108
A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data103
Generalizing resemblance coefficients to accommodate incomplete data95
The TreeTalkersCheck R package: An automatic daily routine to check physiological traits of trees in the forest95
Application of geographical information system (GIS) in reducing accident blackspots and in planning of a safer urban road network: A review89
Exploring the connection of physical habitat health of the wetland with its gas regulating services88
Selection against ruderals in Danish grasslands over an eight-year period84
Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses82
Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover82
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran82
Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil79
Editorial Board77
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest77
Effects of long-term enclosing on distributions of carbon and nitrogen in semia-arid grassland of Inner Mongolia77
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data75
Motion vectors and deep neural networks for video camera traps75
Foundation models in shaping the future of ecology74
“Flower power”: How flowering affects spectral diversity metrics and their relationship with plant diversity71
Evaluation of the monitoring capability of various vegetation indices and mainstream satellite band settings for grassland drought71
Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data70
YoloXT: A object detection algorithm for marine benthos68
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China67
Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks66
Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data65
Climate change and dispersion dynamics of the invasive plant species Chromolaena odorata and Lantana camara in parts of the central and eastern India62
Hybrid convolution neural network model for a quicker detection of infested maize plants with fall armyworms using UAV-based images62
Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models61
Ecological security patterns of Chinese lakes based on ecosystem service values assessment and human threat factors evaluation61
Spatiotemporal changes and driving mechanism of ecosystem carbon sink in karst peak cluster depression basin in Southwest Guangxi based on the interaction of “water-rock-soil-air-biology”61
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape61
Temporal dynamics of biodiversity in benthic macroinvertebrate communities from a 140-year sedimentary DNA record and their driving mechanisms60
Spatial modeling tool to assess and rank peri-urban land use in an agricultural region of the Midwestern United States60
Adaptive image processing embedding to make the ecological tasks of deep learning more robust on camera traps images59
The dynamic driving mechanisms of wetland change from an asynchrony-spatiotemporal perspective: A case study in Pearl River Delta, China55
Flood-drought shifts monitoring on arid Xinjiang, China using a novel machine learning based algorithm54
Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models53
Leveraging citizen science to classify and track benthic habitat states: An unsupervised UMAP-HDBSCAN pipeline applied to the global reef life survey dataset53
Centroid-AME: An open-source software for estimating avian migration trajectories using population centroids movement in the annual cycle53
Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring52
Automated near real-time monitoring in ecology: Status quo and ways forward52
On the importance of integrating convolution features for Indian medicinal plant species classification using hierarchical machine learning approach52
Remote sensing-based spatiotemporal dynamics of agricultural drought on Prince Edward Island using Google Earth engine51
Metaweb approaches for understanding complex ecological interactions: A review51
Machine learning approach for estimating length–weight relationships in key shark species to support fisheries management50
Assessing habitat diversity and potential areas of similarity across protected areas globally50
An adaptive method for individual tree segmentation synthesizing canopy cover and competitive mechanism using UAV data50
Towards heat tolerant metagenome functional prediction, coral microbial community composition, and enrichment analysis50
Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran49
Nowhere to go: Potential distribution shifts of a widespread lizard under two climate change scenarios49
Forecasting the effects of bioclimatic characteristics and climate change on the potential distribution of Colophospermum mopane in southern Africa using Maximum Entropy (Maxent)49
An image enhancement approach for coral reef fish detection in underwater videos48
Normalized difference vegetation index prediction based on the delta downscaling method and back-propagation artificial neural network under climate change in the Sanjiangyuan region, China48
Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering47
Exploring the optimal model for assessing SOC and TN in Zanthoxylum bungeanum forest on the Loess Plateau using VNIR spectroscopy47
High risk water pollution hazards affecting Aveiro coastal lagoon (Portugal) – A habitat risk assessment using InVEST47
Flexible simulation of animal thermoregulatory behavior in three-dimensional synthetic environments from thermal and optical images47
Long-term phosphorus mass-balance of Lake Erie (Canada-USA) reveals a major contribution of in-lake phosphorus loading47
Distance sampling and spatial capture-recapture for estimating density of Northern Bobwhite46
Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery46
The relative impact of co-occurring stressors on the abundance of benthic species examined with three-way correspondence analysis46
Spatial and temporal representation of marine fish occurrences available online46
Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery46
The first inventory of gullies in the Upper Taquari River Basin (Brazil) and its agreement with land use classes46
A workflow to create trait databases from collections of textual taxonomic descriptions46
A geographical traceability method for Lanmaoa asiatica mushrooms from 20 township-level geographical origins by near infrared spectroscopy and ResNet image analysis techniques46
Spatio-temporal heterogeneity of ecological water level in Poyang Lake, China46
Using neural style transfer to study the evolution of animal signal design: A case study in an ornamented fish45
MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus45
Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios45
Transferable species distribution modelling: Comparative performance of Generalised Functional Response models44
Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–201944
Individual tree crown width detection from unmanned aerial vehicle images using a revised local transect method44
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques44
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia44
Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China43
Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India43
YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection43
Automated detection of 20 Hz fin whale calls using computer vision techniques43
Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model42
Predictive mapping of two endemic oak tree species under climate change scenarios in a semiarid region: Range overlap and implications for conservation42
Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection42
Artificial intelligence for carbon emissions using system of systems theory42
A new approach to estimate total nitrogen concentration in a seasonal lake based on multi-source data methodology41
Cross-scale observation of riparian vegetation: Testing the potential of satellite-UAV-Field integrated observations for large-scale herbaceous species41
Impact of topography and climate on post-fire vegetation recovery across different burn severity and land cover types through random forest41
Enhancing rice seed purity recognition accuracy based on optimal feature selection41
A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes41
Spatial relationship between ecosystem health and urbanization in coastal mountain city, Qingdao, China41
A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions41
SooSim, a landscape model for assessing mire habitat degradation and restoration41
Mapping spatiotemporal mortality patterns in spruce mountain forests using Sentinel-2 data and environmental factors41
Mapping high-resolution XCO2 concentrations in China from 2015 to 2020 based on spatiotemporal ensemble learning model40
A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study40
Utilizing deep transfer learning to discover changes in landscape patterns in urban wetland parks based on multispectral remote sensing40
Monitoring vegetation patterns and their drivers to infer resilience: Automated detection of vegetation and megaherbivores from drone imagery using deep learning40
LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis40
Advancing invasive species monitoring: A free tool for detecting invasive cane toads using continental-scale data40
An automated approach for counting ants in densely populated images and gaining insight into ant foraging behavior40
A framework for dynamic assessment of soil erosion and detection of driving factors in alpine grassland ecosystems using the RUSLE-InVEST (SDR) model and Geodetector: A case study of the source region39
Assessing the impact of gold mining on forest cover in the Surinamese Amazon from 1997 to 2019: A semi-automated satellite-based approach39
A high resolution spatial modelling framework for landscape-level, strategic conservation planning39
UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China39
Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas39
Comparing socioeconomic vulnerability index and land cover indices: Application of fuzzy TOPSIS model and geographic information system38
Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques38
Predicting invasive species distributions using incremental ensemble-based pseudo-labeling37
A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India37
YOLO_MRC: A fast and lightweight model for real-time detection and individual counting of Tephritidae pests37
Balancing urban expansion with ecological integrity: An ESP framework for rapidly urbanizing small and medium-sized cities, with insights from Suizhou, China37
Evaluating the temporal patterns of land use and precipitation under desertification in the semi-arid region of Brazil36
Forecasting the abundance of disease vectors with deep learning36
Spatial patterning of benthic macroinvertebrate communities using Geo-self-organizing map (Geo-SOM): A case study in the Nakdong River, South Korea36
Designing water-saving-ecological check dam sites by a system optimization model in a region of the loess plateau, Northwest China36
Territorial spatial vulnerability assessment based on PSO-BP neural network: A case study in Shenzhen, China36
Vegetation coverage precisely extracting and driving factors analysis in drylands36
Working with GNSS collar data. The importance of pre-analysis when setting the sampling interval36
Characteristics of built-up land change in resource-based cities and their impact on land surface temperature—Taking Wu'an as an example35
Predictive modeling of regional carbon storage dynamics in response to land use/land cover changes: An InVEST-based analysis35
Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region35
Machine learning and SLIC for Tree Canopies segmentation in urban areas35
Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression35
Real-time measurement of individual tree structure parameters based on augmented reality in an urban environment35
Bibliometric analysis of human–wildlife conflict: From conflict to coexistence35
Responses of soil respiration and its sensitivities to temperature and precipitation: A meta-analysis35
Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning35
Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network35
Using 360-degree panoramic technology to explore the mechanisms underlying the influence of landscape features on visual landscape quality in traditional villages35
Remote sensing-derived land surface temperature trends over South Asia34
Refining landsat-based annual NDVImax estimation using shape model fitting and phenological metrics34
Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study34
Stochastic network to model the global spreading of respiratory diseases: From SARS-CoV-2 to pathogen X pandemic34
Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas34
VCPNET: A new dataset to benchmark vegetation carbon phenology metrics34
Improving AI performance in wildlife monitoring through species and environment-specific training: A case study on desert Bighorn sheep34
Reconstructing coastal ponds functional classification: Integration of multi-feature remote sensing34
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory34
Embracing asymmetry in nature: How to account for skewness in ecological data33
HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network33
The influence of biophysical characteristics on elephant space use in an African savanna33
Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies: The case of environmental variations in micronektonic layers33
Comparison of patch-based and synoptic connectivity algorithms with graph theory metrics. A case study in Reggio Calabria metropolitan area (South Italy)33
Mapping global orchid assemblages with deep learning provides novel conservation insights33
Benchmarking wild bird detection in complex forest scenes33
Divergent dynamics of surface water patterns and structures in Europe's coastal-zone basins33
Assessment of land surface vulnerability using time-series geospatial datasets33
Bacterial community characterization by deep learning aided image analysis in soil chips33
Zonation-based prioritization of vegetation conservation for terminal lakes in drylands32
Species misidentification affects biodiversity metrics: Dealing with this issue using the new R package naturaList32
Evaluating the efficiency of future crop pattern modelling using the CLUE-S approach in an agricultural plain32
The Atlantic forest is a potentially climatic suitable habitat for four Neotropical Myrtaceae species through time32
Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents32
An integrated system for the acoustic monitoring of goat farms32
Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm32
Rookognise: Acoustic detection and identification of individual rooks in field recordings using multi-task neural networks32
Saving costs for video data annotation in wildlife monitoring31
Feature embeddings from the BirdNET algorithm provide insights into avian ecology31
Estimating net primary productivity of semi-arid Crimean pine stands using biogeochemical modelling, remote sensing, and machine learning31
Extraction and mapping of component information of ancient buildings in Huizhou based on UAV technology31
A recognition method of multispectral images of soybean canopies based on neural network31
Change in cereal production caused by climate change in Malaysia31
Coastal waterbird eco-habitat stability assessment in Zhangjiangkou Mangrove National Nature Reserve Based on habitat function-coordination coupling31
SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset31
Influences of vegetation, model, and data parameters on forest aboveground biomass assessment using an area-based approach30
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications30
A spatiotemporal optimization engine for prescribed burning in the Southeast US30
Air pollution in industrial clusters: A comprehensive analysis and prediction using multi-source data30
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds30
Vision transformer meets convolutional neural network for plant disease classification30
Enhancing mango disease diagnosis through eco-informatics: A deep learning approach30
dataFishing: An efficient Python tool and user-friendly web-form for mining mitochondrial and chloroplast sequences, taxonomic, and biodiversity data30
A multi-level, multi-scale comparison of LiDAR- and LANDSAT-based habitat selection models of Mexican spotted owls in a post-fire landscape30
Small to train, small to test: Dealing with low sample size in model evaluation30
Predicting the impact of future climate changes and range-shifts of Indian hornbills (family: Bucerotidae)30
Spatiotemporal evolution for early warning of ecological carrying capacity during the urbanization process in the Dongting Lake area, China30
Application of machine learning approaches for land cover monitoring in northern Cameroon30
Revealing forest structural "fingerprints": An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests30
Post-fire vegetation dynamic patterns and drivers in Greater Hinggan Mountains: Insights from long-term remote sensing data analysis30
Variability and ecological relevance of alternative group structures in food webs30
Land-Unet: A deep learning network for precise segmentation and identification of non-structured land use types in rural areas for green urban space analysis30
What are the primary covariates of environmental attitudes and behaviours in Canada? A national-scale analysis of socioeconomic, political, and demographic factors29
Hierarchical classification of insects with multitask learning and anomaly detection29
Effect of polynomial, radial basis, and Pearson VII function kernels in support vector machine algorithm for classification of crayfish29
Reduced dimensionality space of features using spectral indices for detecting changes in multitemporal Landsat-8 images29
Spatial diversity of coupled synergistic paths of rural settlements and sloping cultivated land utilization in karst mountain areas of Southwest China: A case study of Huajiang Canyon29
Automatic stomata recognition and measurement based on improved YOLO deep learning model and entropy rate superpixel algorithm29
Using hierarchical text classification to investigate the utility of machine learning in automating online analyses of wildlife exploitation29
Analysing the capacity of multispectral indices to map the spatial distribution of potential post-fire soil losses based on soil burn severity29
Object classification and visualization with edge artificial intelligence for a customized camera trap platform29
Employing a novel hybrid of GA-ANFIS model to predict distribution of whiting fish larvae and juveniles from tropical estuaries in the context of climate change29
Artificial neural networks for assessing forest fire susceptibility in Türkiye29
Bidens pilosa (Asteraceae) invasion reshapes the pattern of plant communities and edaphic properties across the north-western Himalayan landscape29
Improved digital mapping of soil texture using the kernel temperature–vegetation dryness index and adaptive boosting28
Plant leaf classification using the multiscale entropy of curvature and feature aggregation28
Process-based forecasts of lake water temperature and dissolved oxygen outperform null models, with variability over time and depth28
A review of machine learning applications for identification and classification problems in paleontology28
Accuracy of two LiDAR-based augmented reality apps in breast height diameter measurement28
A classifier-deduced signal extraction approach for time difference estimation in acoustic sensor networks28
Reference architecture design for developing data management systems in smart farming28
Behavior intentions of urban forest recreationists based on structural equation model27
Identifying the habitat suitability and built-in corridors for Asiatic black bear (Ursus thibetanus) movement in the northern highlands of Pakistan27
Wavelet-based feature extraction with hidden Markov model classification of Antarctic blue whale sounds27
Helical graphs to visualize the NDVI temporal variation of forest vegetation in an open source space27
Short- and long-term streamflow forecasting using wavelet neural networks for complex watersheds: A case study in the Mahanadi River, India27
Bioclimatic similarity between species locations and their environment revealed by dimensionality reduction analysis27
Data-driven models for predicting community changes in freshwater ecosystems: A review27
Ovitrap Monitor - Online application for counting mosquito eggs and visualisation toolbox in support of health services27
Expert knowledge-based modelling approach for mapping beekeeping suitability area27
Identifying potential hotspots of groundwater-climate interaction in the Great Artesian Basin, Australia27
Fin whale pulse detection with deep neural networks26
Modeling and formal analysis of meta-ecosystems with dynamic structure using graph transformation26
Projection of climate variables by general circulation and deep learning model for Lahore, Pakistan26
A data-integration approach to correct sampling bias in species distribution models using multiple datasets of breeding birds in the Swiss Alps26
Prototyping a system for detection and notification of damage or theft in beehives26
Change in habitat suitability of the invasive Snowflake coral (Carijoa riisei) during climate change: An ensemble modelling approach26
Remote sensing of flowers26
Deep learning-based segmentation for disease identification26
Spatiotemporal evolution analysis of human disturbances on giant panda: A new approach to study cumulative influences with large spatial scales26
Evaluation and validation of forest models: Insight from Mediterranean and scots pine models in Spain26
Evaluation and comparison of the earth observing sensors in land cover/land use studies using machine learning algorithms26
Dynamics of pesticides in surface water bodies by applying data mining to spatiotemporal big data. A case study for the Puglia Region26
Bottlenose dolphin identification using synthetic image-based transfer learning25
Assessing non-hazardous solid waste business characteristics of Western Canadian provinces25
Bias in transect counts of forest birds: An agent-based simulation model and an empirical assessment25
Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture25
Combining biotracer and stomach contents analysis to understand trophic dynamics in the northern Gulf of Mexico25
A multi-source approach to mapping habitat diversity: Combination of multi-date multispectral satellite imagery and comparison with single-date hyperspectral results in a Mediterranean Natural Reserve25
Spatiotemporally weighted regression (STWR) for assessing Lyme disease and landscape fragmentation dynamics in Connecticut towns25
Detection transformer-based approach for mapping trees outside forests on high resolution satellite imagery25
Climate change effects on animal presence in the Massaciuccoli Lake basin25
Integrating direct observation and environmental DNA data to enhance species distribution models in riverine environments25
Impact of LiDAR pulse density on forest fuels metrics derived using LadderFuelsR25
Forecasting insect abundance using time series embedding and machine learning25
Assessment of nomadic pastoralists' livelihood vulnerability to the changing climate in the Third Pole region: Case study in the Altai Mountains of western Mongolia25
Using Web images to train a deep neural network to detect sparsely distributed wildlife in large volumes of remotely sensed imagery: A case study of polar bears on sea ice24
Cellphone picture-based, genus-level automated identification of Chagas disease vectors: Effects of picture orientation on the performance of five machine-learning algorithms24
Soft-output signal detection for cetacean vocalizations using spectral entropy, k-means clustering and the continuous wavelet transform24
Estimation and analysis of insect population dynamics parameters via physiologically based models and hybrid genetic algorithm MCMC methods24
Assessing the geographical distribution of carnivorous and planktivorous fishes in the western Bay of Bengal24
Bag of tricks for long-tail visual recognition of animal species in camera-trap images24
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