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 2022-08-01 to 2026-08-01.)
ArticleCitations
Robustness and limitations of maximum entropy in plant community assembly293
Selection against ruderals in Danish grasslands over an eight-year period220
Editorial Board179
ResHAN-GAM: A novel model for the inversion and prediction of soil organic matter content162
YoloXT: A object detection algorithm for marine benthos159
Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover151
Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier143
Functional diversity of benthic macroinvertebrates and fluvial habitat quality: Key biological trait categories140
Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS)139
Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil139
A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data137
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data120
Effects of long-term enclosing on distributions of carbon and nitrogen in semia-arid grassland of Inner Mongolia120
Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems107
Remote sensing algorithm for dissolved organic carbon in the Laptev Sea: Correction of photobleaching effect using spectral slope103
Multilabel classification of peatland plant species from high-resolution drone images103
Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data102
Potato crop disease prediction in Prince Edward Island using machine learning: A decision support approach for farmers99
Benchmarking remote sensing methods to capture plant functional diversity from space98
Sampling biases across interaction types affect the robustness of ecological multilayer networks94
A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning93
Background-invariant re-identification of dogs from camera-trap videos in non-controlled environments92
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape90
Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses89
A fine-tuning workflow for CNN-based bat acoustic classification88
Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data88
Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection88
“Flower power”: How flowering affects spectral diversity metrics and their relationship with plant diversity85
A deep-learning based approach to detect and classify animals flying near wind turbines using thermal surveillance cameras and open-source software85
Evaluation of the monitoring capability of various vegetation indices and mainstream satellite band settings for grassland drought84
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran83
Automated detection of sea cucumbers in turbid subtidal marine habitats: An explainable approach83
Foundation models in shaping the future of ecology82
Climate change and dispersion dynamics of the invasive plant species Chromolaena odorata and Lantana camara in parts of the central and eastern India77
Spatial and temporal evolution of heatwaves in Taiwan in a changing climate using multi-dimensional complementary ensemble empirical mode decomposition76
Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models75
Modeling CO2 fluxes in coastal wetlands of China using explainable sequence-based deep learning74
Low cost, high efficiency: LiDAR place recognition in vineyards with Matryoshka Representation Learning74
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 Engine73
Deep learning-based keypoint detection for morphological measurement of termite legs with potential occlusion73
A review of acoustic systems for insect monitoring: From recording technologies to species recognition performance73
PAG-MSBNet:Prototype-aware gated multi-scale branch network for open-set crop disease recognition72
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of Bangladesh71
Corrigendum to “Temporal and spectral classification of satellite-derived aridity reveals multi-scale environmental signals in southern South America” [Ecological Informatics 96 (2026) 103871]68
What AIS misses and Acoustics reveal: Monitoring seafloor disturbance and recovery from bottom trawling in the southern Baltic Sea over five years68
Ecological security patterns of Chinese lakes based on ecosystem service values assessment and human threat factors evaluation67
Evaluation of earth observation datasets for LST trends over India and its implication in global warming67
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest66
Seasonal habitat suitability and distribution patterns of Mediterranean fin whales65
Unraveling the spatiotemporal dynamics and driving mechanisms of soil conservation service flows in the Loess Plateau via XGBoost–SHAP64
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 networks64
Orchard plantation mapping using remote sensing phenological feature fusion and interpretable ML algorithms in Hunan Province, China64
How urban-rural life experiences shape rural landscape preferences: Group differences and nonlinear threshold effects via VR UAV and interpretable machine learning64
Generation of spatial data on small vessel activities using a novel fisheries participatory geographic information system63
A machine learning framework for modeling long-term forest carbon dynamics under warming and nitrogen enrichment63
Speeding up image annotation and AI-model training for wildlife images63
Foundation models for bioacoustics – A comparative review62
Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing62
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China62
An adaptive method for individual tree segmentation synthesizing canopy cover and competitive mechanism using UAV data62
A multi-model ecosystem risk assessment methodology for the Massaciuccoli Lake basin wetland62
Spatial modeling tool to assess and rank peri-urban land use in an agricultural region of the Midwestern United States62
Temporal dynamics of biodiversity in benthic macroinvertebrate communities from a 140-year sedimentary DNA record and their driving mechanisms61
Assessing habitat diversity and potential areas of similarity across protected areas globally61
Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring61
Distance sampling and spatial capture-recapture for estimating density of Northern Bobwhite60
CrossKAN: A bivariate cross KAN model for hyperspectral change detection60
Flexible simulation of animal thermoregulatory behavior in three-dimensional synthetic environments from thermal and optical images59
Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering59
The relative impact of co-occurring stressors on the abundance of benthic species examined with three-way correspondence analysis59
Transferable species distribution modelling: Comparative performance of Generalised Functional Response models58
Centroid-AME: An open-source software for estimating avian migration trajectories using population centroids movement in the annual cycle57
Exploring the optimal model for assessing SOC and TN in Zanthoxylum bungeanum forest on the Loess Plateau using VNIR spectroscopy57
Using neural style transfer to study the evolution of animal signal design: A case study in an ornamented fish57
A2ANet: Real-time detection of floating marine debris using atrous convolution and channel attention56
Nowhere to go: Potential distribution shifts of a widespread lizard under two climate change scenarios56
Machine learning approach for estimating length–weight relationships in key shark species to support fisheries management56
Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models56
A workflow to create trait databases from collections of textual taxonomic descriptions55
Automated detection of 20 Hz fin whale calls using computer vision techniques55
Deep learning for automated identification of Vietnamese timber species: A tool for ecological monitoring and conservation55
High risk water pollution hazards affecting Aveiro coastal lagoon (Portugal) – A habitat risk assessment using InVEST54
An image enhancement approach for coral reef fish detection in underwater videos54
Arctic diel and circadian acoustic pattern of Orcas, Fin, and Humpback whales revealed by deep learning from two months of continuous recordings53
Detection of dense fish schools in sonar imagery with a novel YOLOv11-SAS model53
Normalized difference vegetation index prediction based on the delta downscaling method and back-propagation artificial neural network under climate change in the Sanjiangyuan region, China53
Intercomparison of high spatial resolution LAI remote sensing products at forest sites53
Predicting long-term environmental acoustic urban patterns using 2-slot short-term measurement and feed-forward artificial neural networks53
Spatio-temporal heterogeneity of ecological water level in Poyang Lake, China53
The dynamic driving mechanisms of wetland change from an asynchrony-spatiotemporal perspective: A case study in Pearl River Delta, China52
The first inventory of gullies in the Upper Taquari River Basin (Brazil) and its agreement with land use classes52
Individual tree crown width detection from unmanned aerial vehicle images using a revised local transect method51
Automated near real-time monitoring in ecology: Status quo and ways forward51
Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection50
YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection50
Spatial and temporal representation of marine fish occurrences available online50
Predictive mapping of two endemic oak tree species under climate change scenarios in a semiarid region: Range overlap and implications for conservation50
Long-term phosphorus mass-balance of Lake Erie (Canada-USA) reveals a major contribution of in-lake phosphorus loading50
Flood-drought shifts monitoring on arid Xinjiang, China using a novel machine learning based algorithm50
Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India49
Impact of topography and climate on post-fire vegetation recovery across different burn severity and land cover types through random forest49
Artificial intelligence for carbon emissions using system of systems theory49
Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery49
Spatial relationship between ecosystem health and urbanization in coastal mountain city, Qingdao, China49
Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–201949
On the importance of integrating convolution features for Indian medicinal plant species classification using hierarchical machine learning approach48
Remote sensing-based spatiotemporal dynamics of agricultural drought on Prince Edward Island using Google Earth engine48
Leveraging citizen science to classify and track benthic habitat states: An unsupervised UMAP-HDBSCAN pipeline applied to the global reef life survey dataset48
Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China48
Metaweb approaches for understanding complex ecological interactions: A review47
A geographical traceability method for Lanmaoa asiatica mushrooms from 20 township-level geographical origins by near infrared spectroscopy and ResNet image analysis techniques47
Adaptive image processing embedding to make the ecological tasks of deep learning more robust on camera traps images47
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”47
Associations of oxygen availability with eukaryotic plankton assembly and coalescence in river–lake ecotones46
SOCI-YOLO11n: A deep learning model for identifying invasive freshwater turtles in complex ecological contexts46
Bioclimatic controls on vegetation growth in natural and agro-mosaic montane cloud ecosystems46
Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery46
A modeling framework for forest aboveground biomass estimation in mixed forests of the southeastern United States using airborne lidar and PlanetScope data46
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia46
Optimizing surface water detection for wetland restoration monitoring: A comparative assessment of thresholding techniques on UAV imagery46
MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus46
Forest-Chat: Adapting vision-language agents for interactive forest change analysis46
Symbolic encoding of bottlenose dolphin signature whistles: A lightweight method for representation and comparison46
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques45
Low-disturbance UAV-AI monitoring of the endangered Przewalski's gazelle on the Qinghai-Tibetan plateau45
Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios45
Uncovering environmental implications of historical stewardship of Japanese Moso Bamboo (Phyllostachys edulis) forests: a review using a multivariate imputation approach45
From LSA to LLM: Evolution and limitations of topic modelling methods for biodiversity conservation44
Enhancing rice seed purity recognition accuracy based on optimal feature selection44
Individual-based modelling of small pelagic fish in the Adriatic Sea: integrating stock assessments, ecophysiology of fish, and environmental forcings44
Differing effects of climate change on wild bee nesting groups across Europe44
Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression43
An automated approach for counting ants in densely populated images and gaining insight into ant foraging behavior43
A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions43
Mapping high-resolution XCO2 concentrations in China from 2015 to 2020 based on spatiotemporal ensemble learning model43
An explainable ensemble machine-learning framework for short-term forecasting of algal blooms across contrasting Lake systems43
Assessing Gonipterus defoliation levels using multispectral unmanned aerial vehicle (UAV) data in Eucalyptus plantations43
CE-CNN-FA-BiGRU: A novel deep learning framework for sap flow prediction across trees at different ages and species with historical environmental factors43
Vegetation coverage precisely extracting and driving factors analysis in drylands43
Comparing socioeconomic vulnerability index and land cover indices: Application of fuzzy TOPSIS model and geographic information system42
A high resolution spatial modelling framework for landscape-level, strategic conservation planning42
Multi-camera synchronization and instance tracking for Avian behavior analysis in a floating aviary42
A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study42
Cross-scale observation of riparian vegetation: Testing the potential of satellite-UAV-Field integrated observations for large-scale herbaceous species42
Spatial patterning of benthic macroinvertebrate communities using Geo-self-organizing map (Geo-SOM): A case study in the Nakdong River, South Korea42
Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques42
Remote sensing-derived land surface temperature trends over South Asia42
Territorial spatial vulnerability assessment based on PSO-BP neural network: A case study in Shenzhen, China41
A simulation based approach for enhancing automatic detection of cicada songs in challenging chorus conditions41
Monitoring vegetation patterns and their drivers to infer resilience: Automated detection of vegetation and megaherbivores from drone imagery using deep learning41
SooSim, a landscape model for assessing mire habitat degradation and restoration41
Designing water-saving-ecological check dam sites by a system optimization model in a region of the loess plateau, Northwest China41
Predicting invasive species distributions using incremental ensemble-based pseudo-labeling41
Exploring spatiotemporal dynamics and drivers of forest ecosystems in southern Europe with explainable machine learning40
A new approach to estimate total nitrogen concentration in a seasonal lake based on multi-source data methodology40
Mapping spatiotemporal mortality patterns in spruce mountain forests using Sentinel-2 data and environmental factors40
A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes40
Balancing urban expansion with ecological integrity: An ESP framework for rapidly urbanizing small and medium-sized cities, with insights from Suizhou, China40
Evaluating the temporal patterns of land use and precipitation under desertification in the semi-arid region of Brazil40
Working with GNSS collar data. The importance of pre-analysis when setting the sampling interval40
SALMA: A machine learning tool for precise leaf morphology measurements40
YOLO_MRC: A fast and lightweight model for real-time detection and individual counting of Tephritidae pests39
Combining environmental DNA and remote sensing variables to model fish biodiversity in tropical river ecosystems39
Advancing provenance assignment using machine learning and time series analysis of chemical chronologies in archival tissues39
Corrigendum to ‘Predictive capabilities of novel deep neural networks learning for long-term streamflow prediction: Insights from the Barandouz Chay River’ [Ecological Informatics Volume 96 (2026) 10339
Advancing invasive species monitoring: A free tool for detecting invasive cane toads using continental-scale data39
LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis39
Assessing the impact of gold mining on forest cover in the Surinamese Amazon from 1997 to 2019: A semi-automated satellite-based approach39
UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China39
Machine learning-enhanced ecohydrological modelling of monthly-scale oasis dynamics driven by ecological water diversion: A case study of the Qingtu Oasis, China38
Forecasting the abundance of disease vectors with deep learning38
Winter tree and terrain shadow correction reveals land cover mapping errors in Sentinel-2 satellite imagery38
Conifer seedling mapping with UAS data and supervised learning in postfire southern Rockies landscapes38
Automated note annotation after bioacoustic classification: Unsupervised clustering of extracted acoustic features improves detection of a cryptic owl38
Predictive modeling of regional carbon storage dynamics in response to land use/land cover changes: An InVEST-based analysis38
The Frankenstein species distribution modelling: A composite Bayesian framework accounting for spatio-temporal heterogeneity in ecologically diverse regions38
Responses of soil respiration and its sensitivities to temperature and precipitation: A meta-analysis38
Utilizing deep transfer learning to discover changes in landscape patterns in urban wetland parks based on multispectral remote sensing37
Hydrodynamic controls on persistent high algal biomass in stratified reservoirs: Retention and nutrient supply in recirculation zones37
Using 360-degree panoramic technology to explore the mechanisms underlying the influence of landscape features on visual landscape quality in traditional villages37
Real-time measurement of individual tree structure parameters based on augmented reality in an urban environment37
Analyzing wildfire patterns and climate interactions in Campania, Italy: A multi-sensor remote sensing study37
A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India37
Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas36
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 region36
Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning36
Rookognise: Acoustic detection and identification of individual rooks in field recordings using multi-task neural networks36
Three-dimensional graph reconstruction of filamentous structures from z-stack images36
Divergent dynamics of surface water patterns and structures in Europe's coastal-zone basins36
HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network35
Estimating net primary productivity of semi-arid Crimean pine stands using biogeochemical modelling, remote sensing, and machine learning35
Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas35
Change in cereal production caused by climate change in Malaysia35
Land-Unet: A deep learning network for precise segmentation and identification of non-structured land use types in rural areas for green urban space analysis35
Simplifying the calibration of ecological models by using the parameter estimation tool (PEST): The Curonian Lagoon case35
Assessment of land surface vulnerability using time-series geospatial datasets35
Stochastic network to model the global spreading of respiratory diseases: From SARS-CoV-2 to pathogen X pandemic35
Assessing the distribution of nocturnal chlorophyll-a in the Northwest Pacific Ocean using ocean color and fishery echosounder acoustic data35
Balancing signature variance between local and global minima/maxima: Restricted maximum likelihood (REML) classification and the search for plagioclimax34
Zonation-based prioritization of vegetation conservation for terminal lakes in drylands34
Predicting the impact of future climate changes and range-shifts of Indian hornbills (family: Bucerotidae)34
Benchmarking wild bird detection in complex forest scenes34
Coastal waterbird eco-habitat stability assessment in Zhangjiangkou Mangrove National Nature Reserve Based on habitat function-coordination coupling34
Mapping global orchid assemblages with deep learning provides novel conservation insights34
Exploring the trade-offs between spatial and spectral resolution in mapping invasive alien trees34
Evaluating the efficiency of future crop pattern modelling using the CLUE-S approach in an agricultural plain33
Reconstructing coastal ponds functional classification: Integration of multi-feature remote sensing33
Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies: The case of environmental variations in micronektonic layers33
VCPNET: A new dataset to benchmark vegetation carbon phenology metrics33
Spatiotemporal evolution for early warning of ecological carrying capacity during the urbanization process in the Dongting Lake area, China33
Comparison of patch-based and synoptic connectivity algorithms with graph theory metrics. A case study in Reggio Calabria metropolitan area (South Italy)33
The influence of biophysical characteristics on elephant space use in an African savanna33
Embracing asymmetry in nature: How to account for skewness in ecological data33
Evaluating machine leaning algorithms for accuracy, stability, and among-predictors discriminability in modeling species-richness across ten datasets32
Influences of vegetation, model, and data parameters on forest aboveground biomass assessment using an area-based approach32
Potential of Sentinel-2 time series in capturing boreal forest structural diversity32
Bacterial community characterization by deep learning aided image analysis in soil chips32
Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm32
Improving AI performance in wildlife monitoring through species and environment-specific training: A case study on desert Bighorn sheep32
Global climatic impact on the sea kraits living near the tectonic plate boundaries32
Application of machine learning approaches for land cover monitoring in northern Cameroon32
Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study32
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory32
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 mainstream32
Parallel xLSTM-informer model for long-term dissolved oxygen prediction using STL decomposition and Bayesian optimization32
An integrated system for the acoustic monitoring of goat farms32
Integrating AI technologies and citizen science to fast-track small and ectothermic animal monitoring32
The Atlantic forest is a potentially climatic suitable habitat for four Neotropical Myrtaceae species through time31
Application and field validation of machine and deep learning models for predicting nitrogen losses in rice paddies with fertilizer deep-placement31
Feature embeddings from the BirdNET algorithm provide insights into avian ecology31
Drivers of tree growth across Europe: An explainable AI analysis of tree- and site-level influences31
Refining landsat-based annual NDVImax estimation using shape model fitting and phenological metrics31
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds31
Impacts of global climate change on the spatial range of insects distributed across the Pacific Ocean31
Japanese Encephalitis Virus Sylvatic co-occurrence probabilities under a changing climate31
Multi-scale neural networks enhance species distribution modelling across predictors and taxonomic groups31
Vision transformer meets convolutional neural network for plant disease classification31
Enhancing mango disease diagnosis through eco-informatics: A deep learning approach31
Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents31
FoRDM: A toolkit for robust many-objective optimization to support forest decision-making under climate change30
Assessment of pan coefficient performance: A comparative study of empirical and model-driven approaches using a hill-climbing-based alternating model tree and MOORA30
Modeling and formal analysis of meta-ecosystems with dynamic structure using graph transformation30
Evaluating the reliability of the 1-meter resolution meta-estimated global canopy height map for estimating forest structural metrics in Alpine environment30
Variability and ecological relevance of alternative group structures in food webs30
Bioclimatic similarity between species locations and their environment revealed by dimensionality reduction analysis30
BirdNET and Perch perform poorly for species inventories in Amazonia but can provide a proxy for community turnover30
Fin whale pulse detection with deep neural networks30
Remote sensing of flowers29
ESC-YOLOv8-seg: A real-time non-destructive detection framework for small-target surface anomalies in zebrafish underwater monitoring29
Spatiotemporal evolution analysis of human disturbances on giant panda: A new approach to study cumulative influences with large spatial scales29
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