Journal of Biogeography, ISSN 0305-0270, 4/2009, Volume 36, Issue 4, pp. 728 - 744
Aim: The aims of this study are to resolve terminological confusion around different types of species-area relationships (SARs) and their delimitation from...
Datasets | Mathematical extrapolation | Logarithmic functions | Vegetation | Biogeography | Mathematical independent variables | Mathematical functions | Plants | Species | Power functions | Diversity Gradients, Scale, and Area Effects | logarithmic function | goodness‐of‐fit | saturation function | sigmoid function | species–area relationship | model selection | species sampling relationship | macroecology | power function | Curve fitting | Saturation function | Logarithmic function | Model selection | Goodness-of-fit | Macroecology | Species sampling relationship | Sigmoid function | Species-area relationship | Power function | BIODIVERSITY | SCALE-DEPENDENCE | RICHNESS | goodness-of-fit | CURVES | PLANT DIVERSITY | ISLAND BIOGEOGRAPHY | SELF-SIMILARITY | GEOGRAPHY, PHYSICAL | ABUNDANCE DISTRIBUTION | HABITAT DIVERSITY | ECOLOGY | species-area relationship | SAMPLING-DESIGN | Analysis | Ecology
Datasets | Mathematical extrapolation | Logarithmic functions | Vegetation | Biogeography | Mathematical independent variables | Mathematical functions | Plants | Species | Power functions | Diversity Gradients, Scale, and Area Effects | logarithmic function | goodness‐of‐fit | saturation function | sigmoid function | species–area relationship | model selection | species sampling relationship | macroecology | power function | Curve fitting | Saturation function | Logarithmic function | Model selection | Goodness-of-fit | Macroecology | Species sampling relationship | Sigmoid function | Species-area relationship | Power function | BIODIVERSITY | SCALE-DEPENDENCE | RICHNESS | goodness-of-fit | CURVES | PLANT DIVERSITY | ISLAND BIOGEOGRAPHY | SELF-SIMILARITY | GEOGRAPHY, PHYSICAL | ABUNDANCE DISTRIBUTION | HABITAT DIVERSITY | ECOLOGY | species-area relationship | SAMPLING-DESIGN | Analysis | Ecology
Journal Article
Ecology, ISSN 0012-9658, 11/2013, Volume 94, Issue 11, pp. 2392 - 2402
Phenotypic traits mediate organisms' interactions with the environment and determine how they affect and are affected by their biotic and abiotic milieu. Thus,...
biotic sorting | functional diversity | traits | null models | functional-diversity-area relationship | species-area relationship | spatial scale | abiotic filtering | community assembly | Coastal ecology | Species diversity | CONCEPTS & SYNTHESIS: EMPHASIZING NEW IDEAS TO STIMULATE RESEARCH IN ECOLOGY | Ecological modeling | Synecology | Ecological competition | Forest ecology | Plant ecology | Species | Applied ecology | Phenotypic traits | functional-diversity–area relationship | species–area relationship | Abiotic filtering | Biotic sorting | Functionaldiversity-area relationship | Community assembly | Spatial scale | Null models | Species-area relationship | Functional diversity | Traits | SPECIES-DIVERSITY | UNITED-STATES | SPATIAL SCALES | PHYLOGENETIC STRUCTURE | PATTERNS | MECHANISMS | DISTRIBUTIONS | PLANT-COMMUNITIES | ECOLOGY | TRAIT CONVERGENCE | AMAZONIAN FOREST | Animals | Demography | Seeds - physiology | Body Size | Models, Biological | Ecosystem | Mammals - physiology | Plant Physiological Phenomena | Plants - classification | Seeds - classification | Mammals - anatomy & histology | Quantitative genetics | Research | Biological diversity
biotic sorting | functional diversity | traits | null models | functional-diversity-area relationship | species-area relationship | spatial scale | abiotic filtering | community assembly | Coastal ecology | Species diversity | CONCEPTS & SYNTHESIS: EMPHASIZING NEW IDEAS TO STIMULATE RESEARCH IN ECOLOGY | Ecological modeling | Synecology | Ecological competition | Forest ecology | Plant ecology | Species | Applied ecology | Phenotypic traits | functional-diversity–area relationship | species–area relationship | Abiotic filtering | Biotic sorting | Functionaldiversity-area relationship | Community assembly | Spatial scale | Null models | Species-area relationship | Functional diversity | Traits | SPECIES-DIVERSITY | UNITED-STATES | SPATIAL SCALES | PHYLOGENETIC STRUCTURE | PATTERNS | MECHANISMS | DISTRIBUTIONS | PLANT-COMMUNITIES | ECOLOGY | TRAIT CONVERGENCE | AMAZONIAN FOREST | Animals | Demography | Seeds - physiology | Body Size | Models, Biological | Ecosystem | Mammals - physiology | Plant Physiological Phenomena | Plants - classification | Seeds - classification | Mammals - anatomy & histology | Quantitative genetics | Research | Biological diversity
Journal Article
Global Ecology and Biogeography, ISSN 1466-822X, 08/2014, Volume 23, Issue 8, pp. 836 - 847
Aim To define biome‐scale hotspots of phylogenetic and functional mammalian biodiversity (PD and FD, respectively) and compare them with ‘classical’ hotspots...
diversity indices | mammals | Hill's numbers | species–area relationship | Conservation biogeography | functional diversity–area relationship | phylogenetic diversity–area relationship | Diversity indices | Functional diversity-area relationship | Phylogenetic diversity-area relationship | Mammals | Species-area relationship | PHYLOGENETIC DIVERSITY | EVOLUTIONARY | HISTORIES | RICHNESS GRADIENTS | functional diversity-area relationship | BIODIVERSITY HOTSPOTS | SPATIAL-PATTERNS | ENDEMISM | GEOGRAPHY, PHYSICAL | CONSERVATION PRIORITIES | ECOREGIONS | phylogenetic diversity-area relationship | ECOLOGY | species-area relationship | CONGRUENT | Biomes | Wildlife conservation | Phylogeny | Biological diversity conservation | Analysis | Biological diversity | Phylogenetics | Ecosystems | phylogenetic diversity area-relationship | functional diversity area-relationship | conservation biogeography | Hill’s numbers | species area-relationship
diversity indices | mammals | Hill's numbers | species–area relationship | Conservation biogeography | functional diversity–area relationship | phylogenetic diversity–area relationship | Diversity indices | Functional diversity-area relationship | Phylogenetic diversity-area relationship | Mammals | Species-area relationship | PHYLOGENETIC DIVERSITY | EVOLUTIONARY | HISTORIES | RICHNESS GRADIENTS | functional diversity-area relationship | BIODIVERSITY HOTSPOTS | SPATIAL-PATTERNS | ENDEMISM | GEOGRAPHY, PHYSICAL | CONSERVATION PRIORITIES | ECOREGIONS | phylogenetic diversity-area relationship | ECOLOGY | species-area relationship | CONGRUENT | Biomes | Wildlife conservation | Phylogeny | Biological diversity conservation | Analysis | Biological diversity | Phylogenetics | Ecosystems | phylogenetic diversity area-relationship | functional diversity area-relationship | conservation biogeography | Hill’s numbers | species area-relationship
Journal Article
Ecological Monographs, ISSN 0012-9615, 05/2018, Volume 88, Issue 2, pp. 170 - 187
The challenge of biodiversity upscaling, estimating the species richness of a large area from scattered local surveys within it, has attracted increasing...
biodiversity estimation | methods comparison | species richness | species–area relationship | spatial scale | monitoring | upscaling | MAXIMUM-ENTROPY | RICHNESS | LAND-COVER | ZETA DIVERSITY | CURVES | DISTRIBUTIONS | SPATIAL-TURNOVER | SELF-SIMILARITY | ECOLOGY | species-area relationship | BETA-DIVERSITY | SCALE | Spatial analysis (Statistics) | Environmental aspects | Scaling laws (Statistical physics) | Analysis | Biological diversity | Statistical analysis | Landscape | Rural areas | Estimation | Data processing | Statistical methods | Biodiversity | Estimates | Datasets | Surveys | Taxa | Data sets | Predictions | Species richness | Methods | Monitoring
biodiversity estimation | methods comparison | species richness | species–area relationship | spatial scale | monitoring | upscaling | MAXIMUM-ENTROPY | RICHNESS | LAND-COVER | ZETA DIVERSITY | CURVES | DISTRIBUTIONS | SPATIAL-TURNOVER | SELF-SIMILARITY | ECOLOGY | species-area relationship | BETA-DIVERSITY | SCALE | Spatial analysis (Statistics) | Environmental aspects | Scaling laws (Statistical physics) | Analysis | Biological diversity | Statistical analysis | Landscape | Rural areas | Estimation | Data processing | Statistical methods | Biodiversity | Estimates | Datasets | Surveys | Taxa | Data sets | Predictions | Species richness | Methods | Monitoring
Journal Article
Ecology Letters, ISSN 1461-023X, 06/2007, Volume 10, Issue 6, pp. 470 - 480
While the effects of habitat size and isolation have been successfully studied for macro‐organisms, there is currently debate about their relative importance...
ectomycorrhiza | biogeography | fungi | Baas‐Becking | species–area | dispersal | competition | microbe | trade‐off | Competition | Fungi | Microbe | Species-area | Dispersal | Trade-off | Biogeography | Ectomycorrhiza | Baas-Becking | BIODIVERSITY | trade-off | POPULATIONS | EXPERIMENTAL ZOOGEOGRAPHY | COLONIZATION | GENETS | TAXA | COMMUNITY STRUCTURE | ECOLOGY | DIVERSITY | species-area | Geography | Mycorrhizae - physiology | Species Specificity | Soil Microbiology | Microorganisms
ectomycorrhiza | biogeography | fungi | Baas‐Becking | species–area | dispersal | competition | microbe | trade‐off | Competition | Fungi | Microbe | Species-area | Dispersal | Trade-off | Biogeography | Ectomycorrhiza | Baas-Becking | BIODIVERSITY | trade-off | POPULATIONS | EXPERIMENTAL ZOOGEOGRAPHY | COLONIZATION | GENETS | TAXA | COMMUNITY STRUCTURE | ECOLOGY | DIVERSITY | species-area | Geography | Mycorrhizae - physiology | Species Specificity | Soil Microbiology | Microorganisms
Journal Article
AMERICAN NATURALIST, ISSN 0003-0147, 02/2013, Volume 181, Issue 2, pp. 282 - 287
A theory of macroecology based on the maximum information entropy (MaxEnt) inference procedure predicts that the log-log slope of the species-area relationship...
universality | information entropy | EVOLUTIONARY BIOLOGY | scaling | MAXIMUM-ENTROPY | MaxEnt | taxon invariance | ECOLOGY | species-area relationship | macroecology | maximum entropy theory of ecology | Trees | Birds | Animals | Biodiversity | Models, Biological | Fishes | Biology | Research | Phenetics | Identification and classification | Population biology
universality | information entropy | EVOLUTIONARY BIOLOGY | scaling | MAXIMUM-ENTROPY | MaxEnt | taxon invariance | ECOLOGY | species-area relationship | macroecology | maximum entropy theory of ecology | Trees | Birds | Animals | Biodiversity | Models, Biological | Fishes | Biology | Research | Phenetics | Identification and classification | Population biology
Journal Article
Ecology and Evolution, ISSN 2045-7758, 10/2018, Volume 8, Issue 20, pp. 10023 - 10038
I extend the classic SAR, which has achieved status of ecological law and plays a critical role in global biodiversity and biogeography analyses, to general...
maximum accrual diversity (MAD) profile | diversity–area relationship | diversity–area relationship (DAR) profile | pair‐wise diversity overlap (PDO) profile | species–area relationship | self‐similarity | pair-wise diversity overlap (PDO) profile | self-similarity | PHYLOGENETIC DIVERSITY | HUMAN MICROBIOME | PARTITIONING DIVERSITY | STATISTICS | SHAPES | diversity-area relationship (DAR) profile | CURVES | ABUNDANCE | diversity-area relationship | EVOLUTIONARY BIOLOGY | BIOLOGY | PROTEAN PATTERN | ECOLOGY | species-area relationship | Species diversity | Entropy (Information theory) | Microbiomes | Biogeography | Abundance | Scaling | Order parameters | Entropy | Biodiversity | Species richness | Biological diversity
maximum accrual diversity (MAD) profile | diversity–area relationship | diversity–area relationship (DAR) profile | pair‐wise diversity overlap (PDO) profile | species–area relationship | self‐similarity | pair-wise diversity overlap (PDO) profile | self-similarity | PHYLOGENETIC DIVERSITY | HUMAN MICROBIOME | PARTITIONING DIVERSITY | STATISTICS | SHAPES | diversity-area relationship (DAR) profile | CURVES | ABUNDANCE | diversity-area relationship | EVOLUTIONARY BIOLOGY | BIOLOGY | PROTEAN PATTERN | ECOLOGY | species-area relationship | Species diversity | Entropy (Information theory) | Microbiomes | Biogeography | Abundance | Scaling | Order parameters | Entropy | Biodiversity | Species richness | Biological diversity
Journal Article
Ecology Letters, ISSN 1461-023X, 05/2013, Volume 16, Issue 1, pp. 27 - 38
The species–area relationship (SAR) has been used to predict the numbers of species going extinct due to habitat loss, but other researchers have maintained...
extinction threshold | metapopulation capacity | extinction | extinction debt | species–area relationship | Endemics–area relationship | habitat fragmentation | Endemics-area relationship | Extinction | Habitat fragmentation | Extinction debt | Species-area relationship | Extinction threshold | Metapopulation capacity | Models, Theoretical | Trees | Stochastic Processes | Models, Biological | Ecosystem | Extinction, Biological | Population Dynamics | Environmental aspects | Habitat destruction | Extinction (Biology) | Analysis | Habitats | Landscape ecology | Ear
extinction threshold | metapopulation capacity | extinction | extinction debt | species–area relationship | Endemics–area relationship | habitat fragmentation | Endemics-area relationship | Extinction | Habitat fragmentation | Extinction debt | Species-area relationship | Extinction threshold | Metapopulation capacity | Models, Theoretical | Trees | Stochastic Processes | Models, Biological | Ecosystem | Extinction, Biological | Population Dynamics | Environmental aspects | Habitat destruction | Extinction (Biology) | Analysis | Habitats | Landscape ecology | Ear
Journal Article
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, ISSN 0027-8424, 06/2019, Volume 116, Issue 25, pp. 12337 - 12342
The increase in species richness with island area (ISAR) is a well-established global pattern, commonly described by the power model, the parameters of which...
RICHNESS | MULTIDISCIPLINARY SCIENCES | BIOLOGY | diversity model | island biogeography | species-area relationship | DIVERSITY | macroecology | archipelago effects | INSIGHTS | Social aspects | Animal behavior | Analysis | Biogeography | Taxa | Mathematical models | Parameters | Species richness | Biodiversity and Ecology | Environmental Sciences
RICHNESS | MULTIDISCIPLINARY SCIENCES | BIOLOGY | diversity model | island biogeography | species-area relationship | DIVERSITY | macroecology | archipelago effects | INSIGHTS | Social aspects | Animal behavior | Analysis | Biogeography | Taxa | Mathematical models | Parameters | Species richness | Biodiversity and Ecology | Environmental Sciences
Journal Article
Journal of Ecology, ISSN 0022-0477, 05/2019, Volume 107, Issue 3, pp. 1106 - 1119
The biodiversity–productivity relationship (BPR) constitutes one of the most fundamental yet challenging topics in ecology. Most described BPRs so far are...
geostatistics | bootstrapping | ecosystem function | species–area relationship | tree species diversity | niche–efficiency | the elasticity of substitution | large‐scale observational site | large-scale observational site | RICHNESS | TEMPERATE | PLANT DIVERSITY | COMPLEMENTARITY | PLANT SCIENCES | niche-efficiency | CONSERVATION | HABITAT ASSOCIATIONS | SPECIES ABUNDANCE | DYNAMICS | ECOLOGY | species-area relationship | NEOTROPICAL FOREST | Biological diversity conservation | Ecosystems | Analysis | Forest management | Ecological restoration | Sustainable forestry | Biological diversity | Environmental protection | Forests | Conservation | Elasticity | Forest conservation | Biodiversity | Parameterization | Convergence | Substitutes | Ecological effects | Restoration | Forest productivity | Dependence | Scaling up | Species | Species richness | Trees | Productivity | Wildlife conservation | Complementarity | Geostatistics | Spatial analysis | Biological activity | Plant diversity | Environmental restoration | Curvature
geostatistics | bootstrapping | ecosystem function | species–area relationship | tree species diversity | niche–efficiency | the elasticity of substitution | large‐scale observational site | large-scale observational site | RICHNESS | TEMPERATE | PLANT DIVERSITY | COMPLEMENTARITY | PLANT SCIENCES | niche-efficiency | CONSERVATION | HABITAT ASSOCIATIONS | SPECIES ABUNDANCE | DYNAMICS | ECOLOGY | species-area relationship | NEOTROPICAL FOREST | Biological diversity conservation | Ecosystems | Analysis | Forest management | Ecological restoration | Sustainable forestry | Biological diversity | Environmental protection | Forests | Conservation | Elasticity | Forest conservation | Biodiversity | Parameterization | Convergence | Substitutes | Ecological effects | Restoration | Forest productivity | Dependence | Scaling up | Species | Species richness | Trees | Productivity | Wildlife conservation | Complementarity | Geostatistics | Spatial analysis | Biological activity | Plant diversity | Environmental restoration | Curvature
Journal Article