Ecological Informatics

Papers
(The TQCC of Ecological Informatics is 15. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Bayesian networks as a novel tool to enhance interpretability and predictive power of ecological models291
Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier203
Robustness and limitations of maximum entropy in plant community assembly182
Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil143
Exploring the connection of physical habitat health of the wetland with its gas regulating services136
Selection against ruderals in Danish grasslands over an eight-year period131
Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover130
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest128
Editorial Board119
Seasonal habitat suitability and distribution patterns of Mediterranean fin whales115
Motion vectors and deep neural networks for video camera traps115
Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach114
Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems105
Automated detection of sea cucumbers in turbid subtidal marine habitats: An explainable approach102
Remote sensing algorithm for dissolved organic carbon in the Laptev Sea: Correction of photobleaching effect using spectral slope98
Multilabel classification of peatland plant species from high-resolution drone images93
A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning92
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data90
Spatial and temporal evolution of heatwaves in Taiwan in a changing climate using multi-dimensional complementary ensemble empirical mode decomposition87
Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses86
YoloXT: A object detection algorithm for marine benthos84
ResHAN-GAM: A novel model for the inversion and prediction of soil organic matter content83
“Flower power”: How flowering affects spectral diversity metrics and their relationship with plant diversity82
Sampling biases across interaction types affect the robustness of ecological multilayer networks81
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran80
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China79
Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data79
Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models78
Climate change and dispersion dynamics of the invasive plant species Chromolaena odorata and Lantana camara in parts of the central and eastern India77
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape74
Evaluation of earth observation datasets for LST trends over India and its implication in global warming72
Foundation models in shaping the future of ecology70
Hybrid convolution neural network model for a quicker detection of infested maize plants with fall armyworms using UAV-based images70
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of Bangladesh69
Functional diversity of benthic macroinvertebrates and fluvial habitat quality: Key biological trait categories68
Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection66
Ecological security patterns of Chinese lakes based on ecosystem service values assessment and human threat factors evaluation66
Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data65
Effects of long-term enclosing on distributions of carbon and nitrogen in semia-arid grassland of Inner Mongolia64
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 networks63
A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data63
Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS)62
Evaluation of the monitoring capability of various vegetation indices and mainstream satellite band settings for grassland drought61
Spatial modeling tool to assess and rank peri-urban land use in an agricultural region of the Midwestern United States58
Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models58
Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing58
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”58
The dynamic driving mechanisms of wetland change from an asynchrony-spatiotemporal perspective: A case study in Pearl River Delta, China57
Remote sensing-based spatiotemporal dynamics of agricultural drought on Prince Edward Island using Google Earth engine57
Flood-drought shifts monitoring on arid Xinjiang, China using a novel machine learning based algorithm57
Temporal dynamics of biodiversity in benthic macroinvertebrate communities from a 140-year sedimentary DNA record and their driving mechanisms57
Centroid-AME: An open-source software for estimating avian migration trajectories using population centroids movement in the annual cycle55
Metaweb approaches for understanding complex ecological interactions: A review54
Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring54
Machine learning approach for estimating length–weight relationships in key shark species to support fisheries management54
Transferable species distribution modelling: Comparative performance of Generalised Functional Response models54
Towards heat tolerant metagenome functional prediction, coral microbial community composition, and enrichment analysis53
Nowhere to go: Potential distribution shifts of a widespread lizard under two climate change scenarios52
Assessing habitat diversity and potential areas of similarity across protected areas globally52
Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering52
Distance sampling and spatial capture-recapture for estimating density of Northern Bobwhite51
The first inventory of gullies in the Upper Taquari River Basin (Brazil) and its agreement with land use classes51
Flexible simulation of animal thermoregulatory behavior in three-dimensional synthetic environments from thermal and optical images51
Individual tree crown width detection from unmanned aerial vehicle images using a revised local transect method50
Spatial and temporal representation of marine fish occurrences available online50
Exploring the optimal model for assessing SOC and TN in Zanthoxylum bungeanum forest on the Loess Plateau using VNIR spectroscopy50
The relative impact of co-occurring stressors on the abundance of benthic species examined with three-way correspondence analysis50
Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios50
Using neural style transfer to study the evolution of animal signal design: A case study in an ornamented fish50
An adaptive method for individual tree segmentation synthesizing canopy cover and competitive mechanism using UAV data49
A geographical traceability method for Lanmaoa asiatica mushrooms from 20 township-level geographical origins by near infrared spectroscopy and ResNet image analysis techniques49
A workflow to create trait databases from collections of textual taxonomic descriptions49
Uncovering environmental implications of historical stewardship of Japanese Moso Bamboo (Phyllostachys edulis) forests: a review using a multivariate imputation approach49
Long-term phosphorus mass-balance of Lake Erie (Canada-USA) reveals a major contribution of in-lake phosphorus loading48
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia48
Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model48
Automated near real-time monitoring in ecology: Status quo and ways forward48
Impact of topography and climate on post-fire vegetation recovery across different burn severity and land cover types through random forest47
Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection47
Deep learning for automated identification of Vietnamese timber species: A tool for ecological monitoring and conservation47
Automated detection of 20 Hz fin whale calls using computer vision techniques47
Leveraging citizen science to classify and track benthic habitat states: An unsupervised UMAP-HDBSCAN pipeline applied to the global reef life survey dataset47
YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection46
MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus46
Normalized difference vegetation index prediction based on the delta downscaling method and back-propagation artificial neural network under climate change in the Sanjiangyuan region, China46
Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–201946
Spatio-temporal heterogeneity of ecological water level in Poyang Lake, China45
Adaptive image processing embedding to make the ecological tasks of deep learning more robust on camera traps images45
On the importance of integrating convolution features for Indian medicinal plant species classification using hierarchical machine learning approach45
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques45
Arctic diel and circadian acoustic pattern of Orcas, Fin, and Humpback whales revealed by deep learning from two months of continuous recordings44
Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China44
Spatial relationship between ecosystem health and urbanization in coastal mountain city, Qingdao, China44
Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery44
An image enhancement approach for coral reef fish detection in underwater videos44
Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India43
Exploring spatiotemporal dynamics and drivers of forest ecosystems in southern Europe with explainable machine learning42
Predictive mapping of two endemic oak tree species under climate change scenarios in a semiarid region: Range overlap and implications for conservation42
High risk water pollution hazards affecting Aveiro coastal lagoon (Portugal) – A habitat risk assessment using InVEST42
Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery42
A simulation based approach for enhancing automatic detection of cicada songs in challenging chorus conditions42
Artificial intelligence for carbon emissions using system of systems theory42
Monitoring vegetation patterns and their drivers to infer resilience: Automated detection of vegetation and megaherbivores from drone imagery using deep learning41
Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques41
Spatial patterning of benthic macroinvertebrate communities using Geo-self-organizing map (Geo-SOM): A case study in the Nakdong River, South Korea41
Advancing invasive species monitoring: A free tool for detecting invasive cane toads using continental-scale data41
Working with GNSS collar data. The importance of pre-analysis when setting the sampling interval41
LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis41
Comparing socioeconomic vulnerability index and land cover indices: Application of fuzzy TOPSIS model and geographic information system41
Assessing Gonipterus defoliation levels using multispectral unmanned aerial vehicle (UAV) data in Eucalyptus plantations40
SooSim, a landscape model for assessing mire habitat degradation and restoration40
Cross-scale observation of riparian vegetation: Testing the potential of satellite-UAV-Field integrated observations for large-scale herbaceous species40
A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes40
Automated note annotation after bioacoustic classification: Unsupervised clustering of extracted acoustic features improves detection of a cryptic owl40
A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India39
Characteristics of built-up land change in resource-based cities and their impact on land surface temperature—Taking Wu'an as an example39
A high resolution spatial modelling framework for landscape-level, strategic conservation planning39
Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas39
A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study39
Assessing the impact of gold mining on forest cover in the Surinamese Amazon from 1997 to 2019: A semi-automated satellite-based approach39
Enhancing rice seed purity recognition accuracy based on optimal feature selection39
Mapping spatiotemporal mortality patterns in spruce mountain forests using Sentinel-2 data and environmental factors38
Evaluating the temporal patterns of land use and precipitation under desertification in the semi-arid region of Brazil38
Bibliometric analysis of human–wildlife conflict: From conflict to coexistence38
Remote sensing-derived land surface temperature trends over South Asia38
Analyzing wildfire patterns and climate interactions in Campania, Italy: A multi-sensor remote sensing study38
Designing water-saving-ecological check dam sites by a system optimization model in a region of the loess plateau, Northwest China38
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 region38
Combining environmental DNA and remote sensing variables to model fish biodiversity in tropical river ecosystems37
Real-time measurement of individual tree structure parameters based on augmented reality in an urban environment37
Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression37
Utilizing deep transfer learning to discover changes in landscape patterns in urban wetland parks based on multispectral remote sensing37
A new approach to estimate total nitrogen concentration in a seasonal lake based on multi-source data methodology37
Using 360-degree panoramic technology to explore the mechanisms underlying the influence of landscape features on visual landscape quality in traditional villages37
Territorial spatial vulnerability assessment based on PSO-BP neural network: A case study in Shenzhen, China37
Balancing urban expansion with ecological integrity: An ESP framework for rapidly urbanizing small and medium-sized cities, with insights from Suizhou, China36
An automated approach for counting ants in densely populated images and gaining insight into ant foraging behavior36
Multi-camera synchronization and instance tracking for Avian behavior analysis in a floating aviary36
Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region36
YOLO_MRC: A fast and lightweight model for real-time detection and individual counting of Tephritidae pests36
UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China36
Responses of soil respiration and its sensitivities to temperature and precipitation: A meta-analysis35
Predictive modeling of regional carbon storage dynamics in response to land use/land cover changes: An InVEST-based analysis35
Forecasting the abundance of disease vectors with deep learning35
Vegetation coverage precisely extracting and driving factors analysis in drylands35
Predicting invasive species distributions using incremental ensemble-based pseudo-labeling34
Mapping high-resolution XCO2 concentrations in China from 2015 to 2020 based on spatiotemporal ensemble learning model34
VCPNET: A new dataset to benchmark vegetation carbon phenology metrics34
Feature embeddings from the BirdNET algorithm provide insights into avian ecology34
Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning34
Three-dimensional graph reconstruction of filamentous structures from z-stack images34
Assessment of land surface vulnerability using time-series geospatial datasets34
Comparison of patch-based and synoptic connectivity algorithms with graph theory metrics. A case study in Reggio Calabria metropolitan area (South Italy)34
A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions34
Stochastic network to model the global spreading of respiratory diseases: From SARS-CoV-2 to pathogen X pandemic34
Zonation-based prioritization of vegetation conservation for terminal lakes in drylands34
Bacterial community characterization by deep learning aided image analysis in soil chips33
An integrated system for the acoustic monitoring of goat farms33
Land-Unet: A deep learning network for precise segmentation and identification of non-structured land use types in rural areas for green urban space analysis33
Coastal waterbird eco-habitat stability assessment in Zhangjiangkou Mangrove National Nature Reserve Based on habitat function-coordination coupling33
Integrating AI technologies and citizen science to fast-track small and ectothermic animal monitoring33
Estimating net primary productivity of semi-arid Crimean pine stands using biogeochemical modelling, remote sensing, and machine learning33
Rookognise: Acoustic detection and identification of individual rooks in field recordings using multi-task neural networks33
Simplifying the calibration of ecological models by using the parameter estimation tool (PEST): The Curonian Lagoon case33
Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study33
Divergent dynamics of surface water patterns and structures in Europe's coastal-zone basins32
Benchmarking wild bird detection in complex forest scenes32
A recognition method of multispectral images of soybean canopies based on neural network32
Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies: The case of environmental variations in micronektonic layers32
Predicting the impact of future climate changes and range-shifts of Indian hornbills (family: Bucerotidae)32
Balancing signature variance between local and global minima/maxima: Restricted maximum likelihood (REML) classification and the search for plagioclimax32
Influences of vegetation, model, and data parameters on forest aboveground biomass assessment using an area-based approach32
Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas32
SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset32
Refining landsat-based annual NDVImax estimation using shape model fitting and phenological metrics32
Reconstructing coastal ponds functional classification: Integration of multi-feature remote sensing32
HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network32
Evaluating the efficiency of future crop pattern modelling using the CLUE-S approach in an agricultural plain32
The influence of biophysical characteristics on elephant space use in an African savanna31
Exploring the trade-offs between spatial and spectral resolution in mapping invasive alien trees31
Embracing asymmetry in nature: How to account for skewness in ecological data31
Change in cereal production caused by climate change in Malaysia31
Species misidentification affects biodiversity metrics: Dealing with this issue using the new R package naturaList31
The Atlantic forest is a potentially climatic suitable habitat for four Neotropical Myrtaceae species through time31
Assessing the distribution of nocturnal chlorophyll-a in the Northwest Pacific Ocean using ocean color and fishery echosounder acoustic data31
Mapping global orchid assemblages with deep learning provides novel conservation insights31
Evaluating machine leaning algorithms for accuracy, stability, and among-predictors discriminability in modeling species-richness across ten datasets31
Spatiotemporal evolution for early warning of ecological carrying capacity during the urbanization process in the Dongting Lake area, China31
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory30
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds30
Enhancing mango disease diagnosis through eco-informatics: A deep learning approach30
Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm30
Dynamic simulation and key influencing factors of carbon storage in the water-depleted zones of an arid Inland River Basin: Insights from the Tarim River mainstream30
Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents30
Vision transformer meets convolutional neural network for plant disease classification30
Application of machine learning approaches for land cover monitoring in northern Cameroon30
Impacts of global climate change on the spatial range of insects distributed across the Pacific Ocean30
Variability and ecological relevance of alternative group structures in food webs29
Spatiotemporal water quality data reconstruction: A tensor factorization framework29
Revealing forest structural "fingerprints": An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests29
Influences of noise on paddy chlorophyll mapping and associated uncertainty across heterogeneous landscapes using Sentinel-2 and hybrid models29
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications29
Identifying the habitat suitability and built-in corridors for Asiatic black bear (Ursus thibetanus) movement in the northern highlands of Pakistan29
A data-integration approach to correct sampling bias in species distribution models using multiple datasets of breeding birds in the Swiss Alps29
A multi-level, multi-scale comparison of LiDAR- and LANDSAT-based habitat selection models of Mexican spotted owls in a post-fire landscape29
Automatic stomata recognition and measurement based on improved YOLO deep learning model and entropy rate superpixel algorithm29
Improving AI performance in wildlife monitoring through species and environment-specific training: A case study on desert Bighorn sheep29
A review of machine learning applications for identification and classification problems in paleontology29
Hierarchical classification of insects with multitask learning and anomaly detection29
Influence of geometrical shape on thermal heterogeneity in closed landfill sites29
Projection of climate variables by general circulation and deep learning model for Lahore, Pakistan28
A classifier-deduced signal extraction approach for time difference estimation in acoustic sensor networks28
Change in habitat suitability of the invasive Snowflake coral (Carijoa riisei) during climate change: An ensemble modelling approach28
A spatiotemporal optimization engine for prescribed burning in the Southeast US28
ESC-YOLOv8-seg: A real-time non-destructive detection framework for small-target surface anomalies in zebrafish underwater monitoring28
Ovitrap Monitor - Online application for counting mosquito eggs and visualisation toolbox in support of health services28
dataFishing: An efficient Python tool and user-friendly web-form for mining mitochondrial and chloroplast sequences, taxonomic, and biodiversity data28
Reduced dimensionality space of features using spectral indices for detecting changes in multitemporal Landsat-8 images28
Bioclimatic similarity between species locations and their environment revealed by dimensionality reduction analysis28
Data-driven models for predicting community changes in freshwater ecosystems: A review27
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 Reserve27
Prototyping a system for detection and notification of damage or theft in beehives27
Remote sensing of flowers27
Spatiotemporal evolution analysis of human disturbances on giant panda: A new approach to study cumulative influences with large spatial scales27
Automatic fish scale analysis: age determination, annuli and circuli detection, length and weight back-calculation of coregonid scales27
Analysing the capacity of multispectral indices to map the spatial distribution of potential post-fire soil losses based on soil burn severity27
Wavelet-based feature extraction with hidden Markov model classification of Antarctic blue whale sounds27
Evaluation and validation of forest models: Insight from Mediterranean and scots pine models in Spain27
Plant leaf classification using the multiscale entropy of curvature and feature aggregation27
Process-based forecasts of lake water temperature and dissolved oxygen outperform null models, with variability over time and depth27
Assessing non-hazardous solid waste business characteristics of Western Canadian provinces27
Improved digital mapping of soil texture using the kernel temperature–vegetation dryness index and adaptive boosting27
Fin whale pulse detection with deep neural networks27
Dynamics of pesticides in surface water bodies by applying data mining to spatiotemporal big data. A case study for the Puglia Region27
Modeling and formal analysis of meta-ecosystems with dynamic structure using graph transformation27
Using hierarchical text classification to investigate the utility of machine learning in automating online analyses of wildlife exploitation27
Identifying potential hotspots of groundwater-climate interaction in the Great Artesian Basin, Australia26
Artificial neural networks for assessing forest fire susceptibility in Türkiye26
Small to train, small to test: Dealing with low sample size in model evaluation26
Deep learning-based analysis of insect life stages using a repurposed dataset26
Air pollution in industrial clusters: A comprehensive analysis and prediction using multi-source data26
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 change26
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 Canyon26
Expert knowledge-based modelling approach for mapping beekeeping suitability area26
Bidens pilosa (Asteraceae) invasion reshapes the pattern of plant communities and edaphic properties across the north-western Himalayan landscape26
Evaluation and comparison of the earth observing sensors in land cover/land use studies using machine learning algorithms26
Bottlenose dolphin identification using synthetic image-based transfer learning25
Integrating direct observation and environmental DNA data to enhance species distribution models in riverine environments25
Combining biotracer and stomach contents analysis to understand trophic dynamics in the northern Gulf of Mexico25
Accuracy of two LiDAR-based augmented reality apps in breast height diameter measurement25
0.5769898891449