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 2022-05-01 to 2026-05-01.)
ArticleCitations
Foundation models in shaping the future of ecology333
Automated detection of sea cucumbers in turbid subtidal marine habitats: An explainable approach255
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of Bangladesh210
Robustness and limitations of maximum entropy in plant community assembly156
Effects of long-term enclosing on distributions of carbon and nitrogen in semia-arid grassland of Inner Mongolia151
Evaluation of earth observation datasets for LST trends over India and its implication in global warming148
Low cost, high efficiency: LiDAR place recognition in vineyards with Matryoshka Representation Learning143
PAG-MSBNet:Prototype-aware gated multi-scale branch network for open-set crop disease recognition140
Modeling CO2 fluxes in coastal wetlands of China using explainable sequence-based deep learning135
WQEye (v1): A Python-based software for machine learning-based retrieval of water quality parameters from Sentinel-2 and Landsat-8/9 remote sensing data aided by Google Earth Engine130
Deep learning-based keypoint detection for morphological measurement of termite legs with potential occlusion129
Sampling biases across interaction types affect the robustness of ecological multilayer networks129
“Flower power”: How flowering affects spectral diversity metrics and their relationship with plant diversity126
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran125
Foundation models for bioacoustics – A comparative review125
Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models107
Potato crop disease prediction in Prince Edward Island using machine learning: A decision support approach for farmers106
A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning103
Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS)100
A review of acoustic systems for insect monitoring: From recording technologies to species recognition performance96
Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil96
Exploring the connection of physical habitat health of the wetland with its gas regulating services95
Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection93
Selection against ruderals in Danish grasslands over an eight-year period90
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest88
Editorial Board86
Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach86
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data84
Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data84
A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data81
Remote sensing algorithm for dissolved organic carbon in the Laptev Sea: Correction of photobleaching effect using spectral slope77
Background-invariant re-identification of dogs from camera-trap videos in non-controlled environments77
ResHAN-GAM: A novel model for the inversion and prediction of soil organic matter content75
Multilabel classification of peatland plant species from high-resolution drone images75
Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data75
Climate change and dispersion dynamics of the invasive plant species Chromolaena odorata and Lantana camara in parts of the central and eastern India75
Spatial and temporal evolution of heatwaves in Taiwan in a changing climate using multi-dimensional complementary ensemble empirical mode decomposition74
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 networks74
Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier72
A fine-tuning workflow for CNN-based bat acoustic classification71
Benchmarking remote sensing methods to capture plant functional diversity from space71
What AIS misses and Acoustics reveal: Monitoring seafloor disturbance and recovery from bottom trawling in the southern Baltic Sea over five years70
Orchard plantation mapping using remote sensing phenological feature fusion and interpretable ML algorithms in Hunan Province, China70
Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems69
Evaluation of the monitoring capability of various vegetation indices and mainstream satellite band settings for grassland drought69
Ecological security patterns of Chinese lakes based on ecosystem service values assessment and human threat factors evaluation68
Motion vectors and deep neural networks for video camera traps68
Bayesian networks as a novel tool to enhance interpretability and predictive power of ecological models67
Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses67
Functional diversity of benthic macroinvertebrates and fluvial habitat quality: Key biological trait categories67
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape65
YoloXT: A object detection algorithm for marine benthos65
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China62
Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover62
Spatial modeling tool to assess and rank peri-urban land use in an agricultural region of the Midwestern United States62
Seasonal habitat suitability and distribution patterns of Mediterranean fin whales62
Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing61
Machine learning approach for estimating length–weight relationships in key shark species to support fisheries management60
Remote sensing-based spatiotemporal dynamics of agricultural drought on Prince Edward Island using Google Earth engine60
Automated detection of 20 Hz fin whale calls using computer vision techniques59
Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model59
Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery59
Assessing habitat diversity and potential areas of similarity across protected areas globally59
Spatial and temporal representation of marine fish occurrences available online58
On the importance of integrating convolution features for Indian medicinal plant species classification using hierarchical machine learning approach58
Spatio-temporal heterogeneity of ecological water level in Poyang Lake, China57
Predictive mapping of two endemic oak tree species under climate change scenarios in a semiarid region: Range overlap and implications for conservation57
Leveraging citizen science to classify and track benthic habitat states: An unsupervised UMAP-HDBSCAN pipeline applied to the global reef life survey dataset57
Metaweb approaches for understanding complex ecological interactions: A review57
An image enhancement approach for coral reef fish detection in underwater videos57
Individual tree crown width detection from unmanned aerial vehicle images using a revised local transect method56
Temporal dynamics of biodiversity in benthic macroinvertebrate communities from a 140-year sedimentary DNA record and their driving mechanisms56
Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring56
A workflow to create trait databases from collections of textual taxonomic descriptions56
Flood-drought shifts monitoring on arid Xinjiang, China using a novel machine learning based algorithm56
Towards heat tolerant metagenome functional prediction, coral microbial community composition, and enrichment analysis55
Transferable species distribution modelling: Comparative performance of Generalised Functional Response models55
Distance sampling and spatial capture-recapture for estimating density of Northern Bobwhite54
Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering54
Flexible simulation of animal thermoregulatory behavior in three-dimensional synthetic environments from thermal and optical images54
A geographical traceability method for Lanmaoa asiatica mushrooms from 20 township-level geographical origins by near infrared spectroscopy and ResNet image analysis techniques53
The first inventory of gullies in the Upper Taquari River Basin (Brazil) and its agreement with land use classes53
Long-term phosphorus mass-balance of Lake Erie (Canada-USA) reveals a major contribution of in-lake phosphorus loading53
Uncovering environmental implications of historical stewardship of Japanese Moso Bamboo (Phyllostachys edulis) forests: a review using a multivariate imputation approach53
Arctic diel and circadian acoustic pattern of Orcas, Fin, and Humpback whales revealed by deep learning from two months of continuous recordings53
The relative impact of co-occurring stressors on the abundance of benthic species examined with three-way correspondence analysis53
Artificial intelligence for carbon emissions using system of systems theory52
High risk water pollution hazards affecting Aveiro coastal lagoon (Portugal) – A habitat risk assessment using InVEST51
Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection51
Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India51
The dynamic driving mechanisms of wetland change from an asynchrony-spatiotemporal perspective: A case study in Pearl River Delta, China50
An adaptive method for individual tree segmentation synthesizing canopy cover and competitive mechanism using UAV data50
Impact of topography and climate on post-fire vegetation recovery across different burn severity and land cover types through random forest50
YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection50
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”50
Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–201950
Detection of dense fish schools in sonar imagery with a novel YOLOv11-SAS model49
Automated near real-time monitoring in ecology: Status quo and ways forward49
CrossKAN: A bivariate cross KAN model for hyperspectral change detection49
Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery49
Deep learning for automated identification of Vietnamese timber species: A tool for ecological monitoring and conservation49
Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios49
Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China49
A2ANet: Real-time detection of floating marine debris using atrous convolution and channel attention48
Predicting long-term environmental acoustic urban patterns using 2-slot short-term measurement and feed-forward artificial neural networks48
Nowhere to go: Potential distribution shifts of a widespread lizard under two climate change scenarios47
Centroid-AME: An open-source software for estimating avian migration trajectories using population centroids movement in the annual cycle47
Intercomparison of high spatial resolution LAI remote sensing products at forest sites47
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia47
Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models46
A modeling framework for forest aboveground biomass estimation in mixed forests of the southeastern United States using airborne lidar and PlanetScope data46
Associations of oxygen availability with eukaryotic plankton assembly and coalescence in river–lake ecotones46
Adaptive image processing embedding to make the ecological tasks of deep learning more robust on camera traps images46
Forest-Chat: Adapting vision-language agents for interactive forest change analysis45
Symbolic encoding of bottlenose dolphin signature whistles: A lightweight method for representation and comparison45
Spatial relationship between ecosystem health and urbanization in coastal mountain city, Qingdao, China45
SOCI-YOLO11n: A deep learning model for identifying invasive freshwater turtles in complex ecological contexts45
Bioclimatic controls on vegetation growth in natural and agro-mosaic montane cloud ecosystems45
Designing water-saving-ecological check dam sites by a system optimization model in a region of the loess plateau, Northwest China44
Exploring the optimal model for assessing SOC and TN in Zanthoxylum bungeanum forest on the Loess Plateau using VNIR spectroscopy44
MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus44
A new approach to estimate total nitrogen concentration in a seasonal lake based on multi-source data methodology44
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques44
Balancing urban expansion with ecological integrity: An ESP framework for rapidly urbanizing small and medium-sized cities, with insights from Suizhou, China44
Normalized difference vegetation index prediction based on the delta downscaling method and back-propagation artificial neural network under climate change in the Sanjiangyuan region, China44
Using neural style transfer to study the evolution of animal signal design: A case study in an ornamented fish44
Assessing Gonipterus defoliation levels using multispectral unmanned aerial vehicle (UAV) data in Eucalyptus plantations43
Mapping spatiotemporal mortality patterns in spruce mountain forests using Sentinel-2 data and environmental factors43
Mapping high-resolution XCO2 concentrations in China from 2015 to 2020 based on spatiotemporal ensemble learning model43
Forecasting the abundance of disease vectors with deep learning43
Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques42
SooSim, a landscape model for assessing mire habitat degradation and restoration42
Monitoring vegetation patterns and their drivers to infer resilience: Automated detection of vegetation and megaherbivores from drone imagery using deep learning42
A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study42
A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions42
Territorial spatial vulnerability assessment based on PSO-BP neural network: A case study in Shenzhen, China42
Spatial patterning of benthic macroinvertebrate communities using Geo-self-organizing map (Geo-SOM): A case study in the Nakdong River, South Korea42
Enhancing rice seed purity recognition accuracy based on optimal feature selection42
Comparing socioeconomic vulnerability index and land cover indices: Application of fuzzy TOPSIS model and geographic information system42
Combining environmental DNA and remote sensing variables to model fish biodiversity in tropical river ecosystems41
SALMA: A machine learning tool for precise leaf morphology measurements41
Advancing provenance assignment using machine learning and time series analysis of chemical chronologies in archival tissues41
Characteristics of built-up land change in resource-based cities and their impact on land surface temperature—Taking Wu'an as an example40
An automated approach for counting ants in densely populated images and gaining insight into ant foraging behavior40
Working with GNSS collar data. The importance of pre-analysis when setting the sampling interval40
A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes40
Predicting invasive species distributions using incremental ensemble-based pseudo-labeling40
Multi-camera synchronization and instance tracking for Avian behavior analysis in a floating aviary40
LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis40
Real-time measurement of individual tree structure parameters based on augmented reality in an urban environment40
Evaluating the temporal patterns of land use and precipitation under desertification in the semi-arid region of Brazil39
Vegetation coverage precisely extracting and driving factors analysis in drylands39
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
Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression39
Automated note annotation after bioacoustic classification: Unsupervised clustering of extracted acoustic features improves detection of a cryptic owl39
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 areas38
A simulation based approach for enhancing automatic detection of cicada songs in challenging chorus conditions38
Remote sensing-derived land surface temperature trends over South Asia38
Exploring spatiotemporal dynamics and drivers of forest ecosystems in southern Europe with explainable machine learning38
Assessing the impact of gold mining on forest cover in the Surinamese Amazon from 1997 to 2019: A semi-automated satellite-based approach38
Analyzing wildfire patterns and climate interactions in Campania, Italy: A multi-sensor remote sensing study38
The Frankenstein species distribution modelling: A composite Bayesian framework accounting for spatio-temporal heterogeneity in ecologically diverse regions38
Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning38
Bibliometric analysis of human–wildlife conflict: From conflict to coexistence38
An explainable ensemble machine-learning framework for short-term forecasting of algal blooms across contrasting Lake systems37
Advancing invasive species monitoring: A free tool for detecting invasive cane toads using continental-scale data37
UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China37
Utilizing deep transfer learning to discover changes in landscape patterns in urban wetland parks based on multispectral remote sensing37
CE-CNN-FA-BiGRU: A novel deep learning framework for sap flow prediction across trees at different ages and species with historical environmental factors37
From LSA to LLM: Evolution and limitations of topic modelling methods for biodiversity conservation37
Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region37
Predictive modeling of regional carbon storage dynamics in response to land use/land cover changes: An InVEST-based analysis37
Individual-based modelling of small pelagic fish in the Adriatic Sea: integrating stock assessments, ecophysiology of fish, and environmental forcings37
A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India37
Cross-scale observation of riparian vegetation: Testing the potential of satellite-UAV-Field integrated observations for large-scale herbaceous species37
YOLO_MRC: A fast and lightweight model for real-time detection and individual counting of Tephritidae pests37
Using 360-degree panoramic technology to explore the mechanisms underlying the influence of landscape features on visual landscape quality in traditional villages36
Coastal waterbird eco-habitat stability assessment in Zhangjiangkou Mangrove National Nature Reserve Based on habitat function-coordination coupling36
Three-dimensional graph reconstruction of filamentous structures from z-stack images36
The Atlantic forest is a potentially climatic suitable habitat for four Neotropical Myrtaceae species through time36
Responses of soil respiration and its sensitivities to temperature and precipitation: A meta-analysis36
Assessment of land surface vulnerability using time-series geospatial datasets36
Simplifying the calibration of ecological models by using the parameter estimation tool (PEST): The Curonian Lagoon case36
Refining landsat-based annual NDVImax estimation using shape model fitting and phenological metrics35
Influences of vegetation, model, and data parameters on forest aboveground biomass assessment using an area-based approach35
Assessing the distribution of nocturnal chlorophyll-a in the Northwest Pacific Ocean using ocean color and fishery echosounder acoustic data35
Impacts of global climate change on the spatial range of insects distributed across the Pacific Ocean35
Feature embeddings from the BirdNET algorithm provide insights into avian ecology35
Balancing signature variance between local and global minima/maxima: Restricted maximum likelihood (REML) classification and the search for plagioclimax35
Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas35
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 mainstream35
Divergent dynamics of surface water patterns and structures in Europe's coastal-zone basins35
Reconstructing coastal ponds functional classification: Integration of multi-feature remote sensing35
Stochastic network to model the global spreading of respiratory diseases: From SARS-CoV-2 to pathogen X pandemic35
Species misidentification affects biodiversity metrics: Dealing with this issue using the new R package naturaList35
Embracing asymmetry in nature: How to account for skewness in ecological data34
Mapping global orchid assemblages with deep learning provides novel conservation insights34
A recognition method of multispectral images of soybean canopies based on neural network34
Integrating AI technologies and citizen science to fast-track small and ectothermic animal monitoring34
Improving AI performance in wildlife monitoring through species and environment-specific training: A case study on desert Bighorn sheep34
Rookognise: Acoustic detection and identification of individual rooks in field recordings using multi-task neural networks34
Zonation-based prioritization of vegetation conservation for terminal lakes in drylands34
Exploring the trade-offs between spatial and spectral resolution in mapping invasive alien trees34
An integrated system for the acoustic monitoring of goat farms34
Comparison of patch-based and synoptic connectivity algorithms with graph theory metrics. A case study in Reggio Calabria metropolitan area (South Italy)34
Change in cereal production caused by climate change in Malaysia33
Evaluating the efficiency of future crop pattern modelling using the CLUE-S approach in an agricultural plain33
Estimating net primary productivity of semi-arid Crimean pine stands using biogeochemical modelling, remote sensing, and machine learning33
Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study33
Bacterial community characterization by deep learning aided image analysis in soil chips33
SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset33
HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network33
Evaluating machine leaning algorithms for accuracy, stability, and among-predictors discriminability in modeling species-richness across ten datasets33
Enhancing mango disease diagnosis through eco-informatics: A deep learning approach32
Application of machine learning approaches for land cover monitoring in northern Cameroon32
Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies: The case of environmental variations in micronektonic layers32
Global climatic impact on the sea kraits living near the tectonic plate boundaries32
Land-Unet: A deep learning network for precise segmentation and identification of non-structured land use types in rural areas for green urban space analysis32
Predicting the impact of future climate changes and range-shifts of Indian hornbills (family: Bucerotidae)32
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds32
Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm32
Parallel xLSTM-informer model for long-term dissolved oxygen prediction using STL decomposition and Bayesian optimization32
Potential of Sentinel-2 time series in capturing boreal forest structural diversity32
Vision transformer meets convolutional neural network for plant disease classification31
The influence of biophysical characteristics on elephant space use in an African savanna31
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 memory31
Benchmarking wild bird detection in complex forest scenes31
VCPNET: A new dataset to benchmark vegetation carbon phenology metrics31
Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents31
Change in habitat suitability of the invasive Snowflake coral (Carijoa riisei) during climate change: An ensemble modelling approach30
Prototyping a system for detection and notification of damage or theft in beehives30
Remote sensing of flowers30
Assessment of pan coefficient performance: A comparative study of empirical and model-driven approaches using a hill-climbing-based alternating model tree and MOORA30
Using hierarchical text classification to investigate the utility of machine learning in automating online analyses of wildlife exploitation30
A data-integration approach to correct sampling bias in species distribution models using multiple datasets of breeding birds in the Swiss Alps30
Spatiotemporal evolution analysis of human disturbances on giant panda: A new approach to study cumulative influences with large spatial scales30
Spatiotemporal water quality data reconstruction: A tensor factorization framework30
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications30
Wavelet-based feature extraction with hidden Markov model classification of Antarctic blue whale sounds30
Identifying the habitat suitability and built-in corridors for Asiatic black bear (Ursus thibetanus) movement in the northern highlands of Pakistan30
ESC-YOLOv8-seg: A real-time non-destructive detection framework for small-target surface anomalies in zebrafish underwater monitoring30
Evaluation and validation of forest models: Insight from Mediterranean and scots pine models in Spain30
Variability and ecological relevance of alternative group structures in food webs30
Analysing the capacity of multispectral indices to map the spatial distribution of potential post-fire soil losses based on soil burn severity30
Deep learning-based segmentation for disease identification29
Evaluation and comparison of the earth observing sensors in land cover/land use studies using machine learning algorithms29
Plant leaf classification using the multiscale entropy of curvature and feature aggregation29
Bioclimatic similarity between species locations and their environment revealed by dimensionality reduction analysis29
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