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318 results for “habitat conservation”
Figure 1 in Habitat suitability, threats and conservation strategies of Hump-nosed Pit Viper Hypnale hypnale Merrem (Reptilia: Viperidae) found in Western Ghats, Goa, India
Figure 1. Distribution of Hypnale hypnale in the study sites and cashew plantations.
Image 1 in Habitat suitability, threats and conservation strategies of Hump-nosed Pit Viper Hypnale hypnale Merrem (Reptilia: Viperidae) found in Western Ghats, Goa, India
Image 1. Hypnale hypnale in natural habitat
Fig. 2 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 2. Two pairs of females with infants drink the seepage water at a natural-lick.
Fig. 6 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 6. Visitation time of each orangutan class to the naturallicks.
Fig. 4 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 4. Visiting proportion of each orangutan class: flanged male, female with infant, and others.
Fig. 3 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 3. Proportion of visitation frequency of top 3 species among the natural-licks.
Fig. 5 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 5. Duration of the visit of each orangutan class to the naturallicks.
Targeting fin whale conservation in the North-Western Mediterranean Sea: Insights on movements and behaviour from biologging and habitat modelling
<p>Biologging and habitat modelling are key tools supporting the development of conservation measures and mitigating the effects of anthropogenic pressures on marine species. Here, we analysed satellite telemetry data and foraging habitat preferences in relation to chlorophyll-a productivity fronts to understand the movements and behaviour of endangered Mediterranean fin whales (<em>Balaenoptera physalus)</em> during their spring-summer feeding aggregation in the North-Western Mediterranean Sea. Eleven individuals were equipped with Argos satellite transmitters across three years, with transmissions averaging 23.5 ± 11.3 days. Hidden Markov Models were used to identify foraging behaviour, revealing how individuals showed consistency in their use of seasonal core feeding grounds; this was supported by the distribution of potential foraging habitat. Importantly, tracked whales spent most of their time in areas with no explicit protected status within the study region. This highlights the need for enhanced time- and place-based conservation actions to mitigate the effects of anthropogenic impacts for this species, notably ship strike risk and noise disturbance in an area of exceptionally high maritime traffic levels. These findings strengthen the need to further assess critical habitats and Important Marine Mammal Areas that are crucial for focussed conservation, management, and mitigation efforts.</p>
Data from: Predicting habitat suitability and connectivity for management and conservation of urban wildlife: A real-time web application for grassland water voles
<ol> <li>Natural habitats in urban areas provide benefits for both humans and biodiversity. However, to achieve biodiversity gains we require new techniques to determine habitat suitability and ecological connectivity that will inform urban planning and development.</li> <li>Using an example of an urban population of water voles (<i>Arvicola amphibius</i>) we developed a habitat suitability model and a resistance-surface-based model of landscape connectivity to identify potential connectivity between areas of suitable habitat. We then updated the environmental variables according to new urban development plans and used our models to generate spatially explicit predictions of both habitat suitability and connectivity.</li> <li>To make models accessible to urban and conservation planners we developed an interactive mapping tool that provided users with a graphical user interface (GUI) to inform conservation planning for this species.</li> <li>The model found that habitat suitability for water voles was related to distance from key environmental variables, such as built-up areas and urban green spaces, while the connectivity model identified important corridors connecting areas of potential distribution for this species.</li> <li>Future development plans altered the potential spatial distribution of the water vole population, reducing the extent of suitable habitat in some core areas. The interactive mapping tool made available suitable habitat and connectivity maps for conservation managers to assess new planning applications and for the development of a conservation action plan for water voles.</li> <li>Synthesis and applications: We believe this approach provides a framework for future development of nature conservation tools that can be used by planners to inform ecological decision making, increase biodiversity and reduce human-wildlife conflict in urban environments.</li> </ol>
A framework to identify priority wetland habitats and movement corridors for urban amphibian conservation
<p>Core corridors: derived from Circuitscape modeling results -top 50% of wood frog, boreal chorus frog and tiger salamander results converted to binary value and summed to produce core corridors (probable movement for 2-3 amphibian species). <br> <br> To derive core corridors, we summed connectivity models for three amphibian species. For each species we derived focal nodes from high habitat value (based on HSI modelling), used three resistance scenarios and summed the three scenarios for each species to represent probable movement pathways between focal nodes. Species connectivity models were then classified to top 50% of the model, and converted to a binary value of 0 to 1. The three species were summed where by values 0-3 represent number of amphibian species the corridor probably supports movement. </p>
A framework to identify priority wetland habitats and movement corridors for urban amphibian conservation - Raw Data
<p>Call of the Wetland Program observation data reported by citizen scientists at wetlands in the City of Calgary during three amphibian seasons from 2017 to 2019. Wetlands were surveyed up to 11 times per season and participants reported observations to a smartphone application – where they documented species, and type of observation (eggs, adult, juvenile, tadpole or call). Participants also recorded when they participated in a survey and there were no observations. Observations associated without a site ID represent opportunistic observations at non-survey wetlands. This data was used to validate habitat suitability models derived from the occupancy modeling results. <br> <br> Survey wetland location shapefile (centroid point of wetland) also included. </p>
Freshwater invertebrates - diversity and function of stream macroinvertebrates: Effects of habitat conversion and strategies for conservation
<b>Description: </b><p>Freshwater invertebrate communities from stream sites along a habitat disturbance gradient (including old growth forest, logged forest, oil palm with riparian buffers, and oil palm with no buffers) within the SAFE Project experimental area, SAFE surrounding area, Maliau Basin, and Danum Valley.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/121"><b>Diversity and function of stream macroinvertebrates: Effects of habitat conversion and strategies for conservation</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Sime Darby Foundation (Research, SAFE Project)</li><li>NERC (Studentship, 1122589.0)</li><li>Proforest (Research)</li><li>Varley Gradwell Travelling Fellowship (Research)</li><li>Tim Whitmore Fund (Research)</li><li>Panton Trust (Research)</li><li>Cambridge University Commonwealth Fund (Research)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2(37))</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2(68))</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS:1000-2/2(230))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=6368114">here</a></p><p><b>Files: </b>This consists of 1 file: 2_Luke_Inverts_V4_mfh.xlsx</p><p><b>2_Luke_Inverts_V4_mfh.xlsx</b></p><p>This file contains dataset metadata and 7 data tables:</p><ol><li><p><b>Water striders (Gerromorpha)</b> (described in worksheet Gerro)</p><p>Description: Manually captured waterstriders. Rows represent potential functional group/body size x sample site/date combinations, but not each combination had individuals collected.</p><p>Number of fields: 66</p><p>Number of data rows: 33905</p><p>Fields: </p><ul><li><b>Locations</b>: Transect sampled (Field type: location)</li><li><b>Stream</b>: Stream IDs of where the bugs were collected (Field type: id)</li><li><b>Distance</b>: The 10-m section of the stream transect where bugs were collected (Field type: replicate)</li><li><b>CollectionDate</b>: Dates of when the bugs were collected (Field type: date)</li><li><b>Time</b>: The times of when the bugs were collected (Field type: replicate)</li><li><b>PotCode</b>: Pot ID. For example, 1 of 1 means there is only 1 pot for a particular Distance, 1 of 2 means it is the first pot out of 2 for a particular Distance, and so on (Field type: replicate)</li><li><b>ID</b>: The ID number for the pots, each Distance can consists of 1 to 3 pots of samples and each pot has its own ID (Field type: id)</li><li><b>HabitatType</b>: Habitat type (Field type: categorical)</li><li><b>HabitatTypeReplicate</b>: Replicate IDs for the habitat types. For example, the ID for stream 0m at 40-50m as the first replicate for LF/ Logged Forest is LF1.1, while for stream 0m at 20-30m is LF1.2, and so on (Field type: replicate)</li><li><b>SortDate</b>: Dates of when sortings were done (Field type: comments)</li><li><b>Family</b>: Family of the bugs collected (Field type: taxa)</li><li><b>Group</b>: Groups of the bugs based on body forms: 1) CGP (Cylindrostethinae, Gerrinae, and Ptilomerinae), 2) Halobatinae, and 3) Veliidae (Field type: taxa)</li><li><b>LifeStage</b>: Life stage of the bugs collected: either Juvenile (J) or Adult (A) (Field type: categorical trait)</li><li><b>Length</b>: The body length of the bugs collected (rounded) (Field type: numeric trait)</li><li><b>LengthRange</b>: The body length range of the bugs collected (Field type: id)</li><li><b>PredictedBiomass</b>: The predicted biomass of the bugs collected, calculated using power regression equations. Zeros indicate groups for which no individuals were present. a. Group CGP = Abundance in any of the cell from column W until BO * (0.04 * (the cell of the Column O (needs to be at the same row as the Abundance cell chosen from any of the column W until BO)/ representing the body length ^ 2.271)), b. Group Halobatinae = the same as above but with 0.072 and 2.218 as the coefficient a and b respectively, c. Group Veliidae = the same as above but with 0.041 and 2.32 as the coefficient a and b respectively. (Field type: numeric)</li><li><b>AdultWing</b>: Adult bug's ID based on the presence of wings (if the individual insect is a juvenile, the cell says 'None', instead of 'Winged' or 'Wingless') (Field type: categorical trait)</li><li><b>AdultWingAbund</b>: Adult bug's abundance based on the presence of wings (Field type: abundance)</li><li><b>PtilomeraMF</b>: Ptilomera sp. IDs based on sex: either male or female (Field type: categorical trait)</li><li><b>Note</b>: Notes about people who have sorted the bugs before Martina Harianja (if no one hasn't worked on a particular sample, it's written as 'None') (Field type: comments)</li><li><b>PtilomeraMFAbund</b>: Abundance of either male or female adult Ptilomera sp. (Field type: abundance)</li><li><b>4spot</b>: Abundance (Field type: abundance)</li><li><b>C.scrutator</b>: Abundance (Field type: abundance)</li><li><b>Cylindrosthetus.sp.</b>: Abundance (Field type: abundance)</li><li><b>Limnometra.sp.</b>: Abundance (Field type: abundance)</li><li><b>Metrocoris.sp.1</b>: Abundance (Field type: abundance)</li><li><b>Metrocoris.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies15</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies20</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies24</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies25</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies27</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies28</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies29</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies30</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies31</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies33</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies34</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies35</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies36</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies37</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies38</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies4</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies40</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies41</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies42</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies43</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies44</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies45</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies46</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies47</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies6</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies7</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies7.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Potamometropsis.sp.</b>: Abundance (Field type: abundance)</li><li><b>Ptilomera.sp.</b>: Abundance (Field type: abundance)</li><li><b>Rhagovelia.sp.</b>: Abundance (Field type: abundance)</li><li><b>Rhagovelia.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Rhagovelia.sp.3</b>: Abundance (Field type: abundance)</li><li><b>Rheumatogonus.sp.1</b>: Abundance (Field type: abundance)</li><li><b>Rheumatogonus.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Strongylovelia.sp.</b>: Abundance (Field type: abundance)</li><li><b>Tenagogonus.sp.1</b>: Abundance (Field type: abundance)</li><li><b>Tenagogonus.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Ventidius.sp.</b>: Abundance (Field type: abundance)</li><li><b>Ventidius.sp.2</b>: Abundance (Field type: abundance)</li></ul></li><li><p><b>10m Chironomids</b> (described in worksheet Chiron_10m)</p><p>Description: Sampled from the streambed using a Surber sampler in 2012/2013. Suber sample had quadrat area of 0.33m2 and 250 μm mesh net. Sampling done at regularly spaced points along the 200m long dragonfly transects.</p><p>Number of fields: 51</p><p>Number of data rows: 151</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Distance</b>: Distance along the stream transect (Field type: numeric)</li><li><b>StreamDistance</b>: Stream and distance ID (Field type: id)</li><li><b>PointLocation</b>: Point location on stream transect (Field type: location)</li><li><b>SampleDate</b>: Date sample was collected (Field type: date)</li><li><b>SampleTime</b>: Time sample was collected (Field type: time)</li><li><b>Cladotanytarsus6teeth</b>: Cladotanytarsus6teeth abundance (Field type: abundance)</li><li><b>Cladotanytarsus5teeth</b>: Cladotanytarsus5teeth abundance (Field type: abundance)</li><li><b>Orthocladius</b>: Orthocladius abundance (Field type: abundance)</li><li><b>CricotopusWorn</b>: CricotopusWorn abundance (Field type: abundance)</li><li><b>CricotopusCylindraceus</b>: CricotopusCylindraceus abundance (Field type: abundance)</li><li><b>CricotopusOliveri</b>: CricotopusOliveri abundance (Field type: abundance)</li><li><b>Thienemanniella</b>: Thienemanniella abundance (Field type: abundance)</li><li><b>Thienemanniella2</b>: Thienemanniella2 abundance (Field type: abundance)</li><li><b>KelianA</b>: KelianA abundance (Field type: abundance)</li><li><b>KelianB</b>: KelianB abundance (Field type: abundance)</li><li><b>KelianC</b>: KelianC abundance (Field type: abundance)</li><li><b>TanytarsusMendax</b>: TanytarsusMendax abundance (Field type: abundance)</li><li><b>TanytarsusNemorosus</b>: TanytarsusNemorosus abundance (Field type: abundance)</li><li><b>PolypedilumType2</b>: PolypedilumType2 abundance (Field type: abundance)</li><li><b>PolypedilumConvictum</b>: PolypedilumConvictum abundance (Field type: abundance)</li><li><b>PolypedilumSp3</b>: PolypedilumSp3 abundance (Field type: abundance)</li><li><b>Chironomini1stInstar</b>: Chironomini1stInstar abundance (Field type: abundance)</li><li><b>ChironominiGenusB</b>: ChironominiGenusB abundance (Field type: abundance)</li><li><b>ChironominiPhoto1</b>: ChironominiPhoto1 abundance (Field type: abundance)</li><li><b>ChironominiPhoto2</b>: ChironominiPhoto2 abundance (Field type: abundance)</li><li><b>ChironominiPhoto3</b>: ChironominiPhoto3 abundance (Field type: abundance)</li><li><b>ChironominiPhoto5</b>: ChironominiPhoto5 abundance (Field type: abundance)</li><li><b>CorynoneuraLobata</b>: CorynoneuraLobata abundance (Field type: abundance)</li><li><b>Thienemannimyia</b>: Thienemannimyia abundance (Field type: abundance)</li><li><b>Parametriocnemus</b>: Parametriocnemus abundance (Field type: abundance)</li><li><b>Ceratopogonidae</b>: Ceratopogonidae abundance (Field type: abundance)</li><li><b>Cardiocladius</b>: Cardiocladius abundance (Field type: abundance)</li><li><b>Ablabesmyia</b>: Ablabesmyia abundance (Field type: abundance)</li><li><b>Stenochironomus</b>: Stenochironomus abundance (Field type: abundance)</li><li><b>Cryptochironomus</b>: Cryptochironomus abundance (Field type: abundance)</li><li><b>Nanocladius</b>: Nanocladius abundance (Field type: abundance)</li><li><b>Stictochironomus</b>: Stictochironomus abundance (Field type: abundance)</li><li><b>Nilotanypus</b>: Nilotanypus abundance (Field type: abundance)</li><li><b>Rheotanytarsus</b>: Rheotanytarsus abundance (Field type: abundance)</li><li><b>RheocricotopusChalybeatus</b>: RheocricotopusChalybeatus abundance (Field type: abundance)</li><li><b>Dicrotendipes</b>: Dicrotendipes abundance (Field type: abundance)</li><li><b>Paratendipes</b>: Paratendipes abundance (Field type: abundance)</li><li><b>Pseudorthocladius</b>: Pseudorthocladius abundance (Field type: abundance)</li><li><b>Kiefferulus</b>: Kiefferulus abundance (Field type: abundance)</li><li><b>Paracladopelma</b>: Paracladopelma abundance (Field type: abundance)</li><li><b>Microtendipes</b>: Microtendipes abundance (Field type: abundance)</li><li><b>Eukiefferiella</b>: Eukiefferiella abundance (Field type: abundance)</li><li><b>Diamesinae</b>: Diamesinae abundance (Field type: abundance)</li><li><b>TanytarsiniSurfaceTooth</b>: TanytarsiniSurfaceTooth abundance (Field type: abundance)</li></ul></li><li><p><b>10m Ephemeroptera, Plecoptera, Tricoptera (EPT)</b> (described in worksheet EPTabun_10m)</p><p>Description: Sampled from the streambed using a Surber sampler in 2012/2013. Suber sample had quadrat area of 0.33m2 and 250 μm mesh net. Sampling done at regularly spaced points along the 200m long dragonfly transects.</p><p>Number of fields: 34</p><p>Number of data rows: 78</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>StreamDistance</b>: Distance along the stream transect (Field type: id)</li><li><b>Distance</b>: Stream and distance ID (Field type: id)</li><li><b>PointLocation</b>: Point location on stream transect (Field type: location)</li><li><b>SampleDate</b>: Date sample was collected (Field type: date)</li><li><b>SampleTime</b>: Time sample was collected (Field type: time)</li><li><b>Baetidae</b>: Baetidae abundance (Field type: abundance)</li><li><b>Leptophlebiidae</b>: Leptophlebiidae abundance (Field type: abundance)</li><li><b>Heptageniidae</b>: Heptageniidae abundance (Field type: abundance)</li><li><b>Caenidae</b>: Caenidae abundance (Field type: abundance)</li><li><b>Tricorythidae</b>: Tricorythidae abundance (Field type: abundance)</li><li><b>Euthyplociidae</b>: Euthyplociidae abundance (Field type: abundance)</li><li><b>Potamanthidae</b>: Potamanthidae abundance (Field type: abundance)</li><li><b>Oligoneuriidae</b>: Oligoneuriidae abundance (Field type: abundance)</li><li><b>Ephemeridae</b>: Ephemeridae abundance (Field type: abundance)</li><li><b>EphemUnknown</b>: EphemUnknown abundance (Field type: abundance)</li><li><b>Perlidae</b>: Perlidae abundance (Field type: abundance)</li><li><b>Nemouridae</b>: Nemouridae abundance (Field type: abundance)</li><li><b>Leuctridae</b>: Leuctridae abundance (Field type: abundance)</li><li><b>Peltoperlidae</b>: Peltoperlidae abundance (Field type: abundance)</li><li><b>PlecopUnkown</b>: PlecopUnkown abundance (Field type: abundance)</li><li><b>Dipsuedopsidae</b>: Dipsuedopsidae abundance (Field type: abundance)</li><li><b>Hydropsychidae</b>: Hydropsychidae abundance (Field type: abundance)</li><li><b>Leptoceridae</b>: Leptoceridae abundance (Field type: abundance)</li><li><b>Xiphocentronidae</b>: Xiphocentronidae abundance (Field type: abundance)</li><li><b>Polycentropodidae</b>: Polycentropodidae abundance (Field type: abundance)</li><li><b>Psychomyiidae</b>: Psychomyiidae abundance (Field type: abundance)</li><li><b>Ecnomidae</b>: Ecnomidae abundance (Field type: abundance)</li><li><b>Philopotamidae</b>: Philopotamidae abundance (Field type: abundance)</li><li><b>Hydroptilidae</b>: Hydroptilidae abundance (Field type: abundance)</li><li><b>Lepidostomatidae</b>: Lepidostomatidae abundance (Field type: abundance)</li><li><b>Calamoceratidae</b>: Calamoceratidae abundance (Field type: abundance)</li><li><b>TrichopUnknown</b>: TrichopUnknown abundance (Field type: abundance)</li></ul></li><li><p><b>10m Odonata nymphs</b> (described in worksheet OdonataNymph)</p><p>Description: Sampled from the streambed using a Surber sampler in 2012/2013. Suber sample had quadrat area of 0.33m2 and 250 μm mesh net. Sampling done at regularly spaced points along the 200m long dragonfly transects.</p><p>Number of fields: 29</p><p>Number of data rows: 151</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Distance</b>: Distance along the stream transect (Field type: numeric)</li><li><b>StreamDistance</b>: Stream and distance ID (Field type: id)</li><li><b>SiteCode</b>: Point location on stream transect (Field type: location)</li><li><b>Date</b>: Date sample was collected (Field type: date)</li><li><b>Time</b>: Time sample was collected (Field type: time)</li><li><b>ChlorogomphidaeChlorogomphus</b>: ChlorogomphidaeChlorogomphus abundance (Field type: abundance)</li><li><b>GomphidaeLeptogomphus</b>: GomphidaeLeptogomphus abundance (Field type: abundance)</li><li><b>GomphidaeMegalogomphus</b>: GomphidaeMegalogomphus abundance (Field type: abundance)</li><li><b>GomphidaeBurmagomphus</b>: GomphidaeBurmagomphus abundance (Field type: abundance)</li><li><b>GomphidaeOnychogomphus</b>: GomphidaeOnychogomphus abundance (Field type: abundance)</li><li><b>GomphidaeGomphidia</b>: GomphidaeGomphidia abundance (Field type: abundance)</li><li><b>GomphidaeSinogomphus</b>: GomphidaeSinogomphus abundance (Field type: abundance)</li><li><b>GomphidaeHeliogomphus</b>: GomphidaeHeliogomphus abundance (Field type: abundance)</li><li><b>GomphidaeIctinogomphus</b>: GomphidaeIctinogomphus abundance (Field type: abundance)</li><li><b>GomphidaeUnknown</b>: GomphidaeUnknown abundance (Field type: abundance)</li><li><b>MacromiidaeUnknown1</b>: MacromiidaeUnknown1 abundance (Field type: abundance)</li><li><b>MacromiidaeMacromia</b>: MacromiidaeMacromia abundance (Field type: abundance)</li><li><b>MacromiidaeUnknown2</b>: MacromiidaeUnknown2 abundance (Field type: abundance)</li><li><b>LibellulidaeUnknown</b>: LibellulidaeUnknown abundance (Field type: abundance)</li><li><b>LibellulidaeTrithemis</b>: LibellulidaeTrithemis abundance (Field type: abundance)</li><li><b>EuphaeidaeEuphaea</b>: EuphaeidaeEuphaea abundance (Field type: abundance)</li><li><b>CalopterygidaeVestalis</b>: CalopterygidaeVestalis abundance (Field type: abundance)</li><li><b>PhilosinidaeRhinagrion</b>: PhilosinidaeRhinagrion abundance (Field type: abundance)</li><li><b>PlatystictidaeUnknown</b>: PlatystictidaeUnknown abundance (Field type: abundance)</li><li><b>LestidaeUnknown</b>: LestidaeUnknown abundance (Field type: abundance)</li><li><b>ChlorocyphidaeUnknown</b>: ChlorocyphidaeUnknown abundance (Field type: abundance)</li><li><b>Unknown</b>: Unknown abundance (Field type: abundance)</li></ul></li><li><p><b>10m benthic insects, order-level</b> (described in worksheet Order_10m)</p><p>Description: Sampled from the streambed using a Surber sampler in 2012/2013. Suber sample had quadrat area of 0.33m2 and 250 μm mesh net. Sampling done at regularly spaced points along the 200m long dragonfly transects.</p><p>Number of fields: 34</p><p>Number of data rows: 151</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Distance</b>: Distance along the stream transect (Field type: numeric)</li><li><b>StreamDistance</b>: Stream and distance ID (Field type: id)</li><li><b>PointLocations</b>: Point location on stream transect (Field type: location)</li><li><b>SampleDate</b>: Date sample was collected (Field type: date)</li><li><b>SampleTime</b>: Time sample was collected (Field type: time)</li><li><b>EphemeropteraWhole</b>: EphemeropteraWhole abundance (Field type: abundance)</li><li><b>EphemeropteraPart</b>: EphemeropteraPart abundance (Field type: abundance)</li><li><b>Ephemeroptera</b>: Ephemeroptera abundance (Field type: abundance)</li><li><b>PlecopteraWhole</b>: PlecopteraWhole abundance (Field type: abundance)</li><li><b>PlecopteraPart</b>: PlecopteraPart abundance (Field type: abundance)</li><li><b>Plecoptera</b>: Plecoptera abundance (Field type: abundance)</li><li><b>TrichopteraWhole</b>: TrichopteraWhole abundance (Field type: abundance)</li><li><b>TrichopteraPart</b>: TrichopteraPart abundance (Field type: abundance)</li><li><b>Trichoptera</b>: Trichoptera abundance (Field type: abundance)</li><li><b>ColeopteraLarvaeWhole</b>: ColeopteraLarvaeWhole abundance (Field type: abundance)</li><li><b>ColeopteraLarvaePart</b>: ColeopteraLarvaePart abundance (Field type: abundance)</li><li><b>ColeopteraAdultWhole</b>: ColeopteraAdultWhole abundance (Field type: abundance)</li><li><b>ColeopteraAdultPart</b>: ColeopteraAdultPart abundance (Field type: abundance)</li><li><b>Coleoptera</b>: Coleoptera abundance (Field type: abundance)</li><li><b>DipteraWhole</b>: DipteraWhole abundance (Field type: abundance)</li><li><b>DipteraPart</b>: DipteraPart abundance (Field type: abundance)</li><li><b>Diptera</b>: Diptera abundance (Field type: abundance)</li><li><b>OdonataWhole</b>: OdonataWhole abundance (Field type: abundance)</li><li><b>OdonataPart</b>: OdonataPart abundance (Field type: abundance)</li><li><b>Odonata</b>: Odonata abundance (Field type: abundance)</li><li><b>Heteroptera</b>: Heteroptera abundance (Field type: abundance)</li><li><b>Mites</b>: Mites abundance (Field type: abundance)</li><li><b>Isopods</b>: Isopods abundance (Field type: abundance)</li><li><b>Worms</b>: Worms abundance (Field type: abundance)</li><li><b>OtherWhole</b>: OtherWhole abundance (Field type: abundance)</li><li><b>OtherPart</b>: OtherPart abundance (Field type: abundance)</li><li><b>Other</b>: Other abundance (Field type: abundance)</li></ul></li><li><p><b>10m bottle traps, for crabs, shrimps, snails</b> (described in worksheet Bottletraps_nov2015)</p><p>Description: Crabs, shrimps, snails. Sampled using bottle traps baited with fish/bread. Sampling done at regularly spaced points along the 200m long dragonfly transects. </p><p>Number of fields: 13</p><p>Number of data rows: 999</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Date</b>: Date trap set (Field type: date)</li><li><b>ArrivalTime</b>: Trap set time (Field type: time)</li><li><b>LeavingTime</b>: Trap collection time (Field type: time)</li><li><b>Weather</b>: Weather comments (Field type: comments)</li><li><b>People</b>: Observer (Field type: comments)</li><li><b>Distance</b>: Distance along the stream transect (Field type: numeric)</li><li><b>IDnumber</b>: Trap number (Field type: id)</li><li><b>Shrimps</b>: Shrimps abundance (Field type: abundance)</li><li><b>Snails</b>: Snails abundance (Field type: abundance)</li><li><b>Crabs</b>: Crabs abundance (Field type: abundance)</li><li><b>Fish</b>: Fish abundance (Field type: abundance)</li></ul></li><li><p><b>200m transects, adult dragonflies</b> (described in worksheet Dragonflies_2012_2013)</p><p>Description: Adult dragonflies. Caught along 200m long transects using butterfly nets. </p><p>Number of fields: 23</p><p>Number of data rows: 1872</p><p>Fields: </p><ul><li><b>Location</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Date</b>: Distance along the stream transect (Field type: date)</li><li><b>Weather</b>: Stream and distance ID (Field type: comments)</li><li><b>WeatherIssues</b>: Weather issues (0 - no issues, 1 - issues) (Field type: numeric)</li><li><b>PeopleIssues</b>: People issues (0 - no issues, 1 - issues) (Field type: numeric)</li><li><b>People</b>: Observers (Field type: comments)</li><li><b>DragonflyNo</b>: Dragonfly catch number per day (Field type: id)</li><li><b>UniqueID</b>: Individual dragonfly ID (Field type: id)</li><li><b>Time</b>: Time of catch (Field type: time)</li><li><b>Photos</b>: How many photos were taken of that individual dragonfly (in order to assist with photo sorting later on) (Field type: id)</li><li><b>HeadColour</b>: Head colour (Field type: comments)</li><li><b>ThoraxColour</b>: Thorax colour (Field type: comments)</li><li><b>AbdomenColour</b>: Abdomen colour (Field type: comments)</li><li><b>WingColour</b>: Wing colour (Field type: comments)</li><li><b>Pair</b>: Whether a male/female mating pair or not (knowing this could sometimes help with ID decisions later on, especially for females which are poorly known) (Field type: categorical)</li><li><b>Point10m</b>: Point of catch along the transect (10m intervals along he transect) (Field type: numeric)</li><li><b>Habitat</b>: Habitat type (Field type: comments)</li><li><b>Activity</b>: What was the dragon fly doing (Field type: comments)</li><li><b>DateIDing</b>: Date of ID (Field type: date)</li><li><b>PeopleIDing</b>: Person Iding (JA= James Austin, RD= Rory Dow, SHL = Sarah Luke) (Field type: categorical)</li><li><b>Species</b>: Species of dragonfly (Field type: taxa)</li><li><b>MaleFemale</b>: Sex of dragonfly (Field type: categorical)</li></ul></li></ol><p><b>Date range: </b>2011-07-03 to 2015-04-18</p><p><b>Latitudinal extent: </b>4.5755 to 4.9618</p><p><b>Longitudinal extent: </b>116.9641 to 117.7965</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Annelida <br> -  -  Arthropoda <br> -  -  -  Crabs <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  Coleoptera <br> -  -  -  -  Coleoptera <br> -  -  -  -  Coleoptera <br> -  -  -  -  Coleoptera <br> -  -  -  -  Diptera <br> -  -  -  -  -  Ceratopogonidae <br> -  -  -  -  -  Chironomidae <br> -  -  -  -  -  -  <i>Ablabesmyia</i> <br> -  -  -  -  -  -  <i>Cardiocladius</i> <br> -  -  -  -  -  -  Chironomini1stInstar <br> -  -  -  -  -  -  ChironominiGenusB <br> -  -  -  -  -  -  ChironominiPhoto1 <br> -  -  -  -  -  -  ChironominiPhoto2 <br> -  -  -  -  -  -  ChironominiPhoto3 <br> -  -  -  -  -  -  ChironominiPhoto5 <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cricotopus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus cylindraceus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus olivetus</i> <br> -  -  -  -  -  -  <i>Cryptochironomus</i> <br> -  -  -  -  -  -  Diamesinae <br> -  -  -  -  -  -  <i>Dicrotendipes</i> <br> -  -  -  -  -  -  <i>Eukiefferiella</i> <br> -  -  -  -  -  -  KelianA <br> -  -  -  -  -  -  KelianB <br> -  -  -  -  -  -  KelianC <br> -  -  -  -  -  -  <i>Kiefferulus</i> <br> -  -  -  -  -  -  <i>Microtendipes</i> <br> -  -  -  -  -  -  <i>Nanocladius</i> <br> -  -  -  -  -  -  <i>Nilotanypus</i> <br> -  -  -  -  -  -  <i>Orthocladius</i> <br> -  -  -  -  -  -  <i>Paracladopelma</i> <br> -  -  -  -  -  -  <i>Parametriocnemus</i> <br> -  -  -  -  -  -  <i>Paratendipes</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Pseudorthocladius</i> <br> -  -  -  -  -  -  <i>Rheotanytarsus</i> <br> -  -  -  -  -  -  <i>Stenochironomus</i> <br> -  -  -  -  -  -  <i>Stictochironomus</i> <br> -  -  -  -  -  -  TanytarsiniSurfaceTooth <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemannimyia</i> <br> -  -  -  -  -  -  <i>Corynoneura</i> <br> -  -  -  -  -  -  -  <i>Corynoneura lobata</i> <br> -  -  -  -  -  -  <i>Tanytarsus</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus mendax</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus nemorosus</i> <br> -  -  -  -  -  -  <i>Rheocricotopus</i> <br> -  -  -  -  -  -  -  <i>Rheocricotopus chalybeatus</i> <br> -  -  -  -  Diptera <br> -  -  -  -  -  Ceratopogonidae <br> -  -  -  -  -  Chironomidae <br> -  -  -  -  -  -  <i>Ablabesmyia</i> <br> -  -  -  -  -  -  <i>Cardiocladius</i> <br> -  -  -  -  -  -  Chironomini1stInstar <br> -  -  -  -  -  -  ChironominiGenusB <br> -  -  -  -  -  -  ChironominiPhoto1 <br> -  -  -  -  -  -  ChironominiPhoto2 <br> -  -  -  -  -  -  ChironominiPhoto3 <br> -  -  -  -  -  -  ChironominiPhoto5 <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cricotopus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus cylindraceus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus olivetus</i> <br> -  -  -  -  -  -  <i>Cryptochironomus</i> <br> -  -  -  -  -  -  Diamesinae <br> -  -  -  -  -  -  <i>Dicrotendipes</i> <br> -  -  -  -  -  -  <i>Eukiefferiella</i> <br> -  -  -  -  -  -  KelianA <br> -  -  -  -  -  -  KelianB <br> -  -  -  -  -  -  KelianC <br> -  -  -  -  -  -  <i>Kiefferulus</i> <br> -  -  -  -  -  -  <i>Microtendipes</i> <br> -  -  -  -  -  -  <i>Nanocladius</i> <br> -  -  -  -  -  -  <i>Nilotanypus</i> <br> -  -  -  -  -  -  <i>Orthocladius</i> <br> -  -  -  -  -  -  <i>Paracladopelma</i> <br> -  -  -  -  -  -  <i>Parametriocnemus</i> <br> -  -  -  -  -  -  <i>Paratendipes</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Pseudorthocladius</i> <br> -  -  -  -  -  -  <i>Rheotanytarsus</i> <br> -  -  -  -  -  -  <i>Stenochironomus</i> <br> -  -  -  -  -  -  <i>Stictochironomus</i> <br> -  -  -  -  -  -  TanytarsiniSurfaceTooth <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemannimyia</i> <br> -  -  -  -  -  -  <i>Corynoneura</i> <br> -  -  -  -  -  -  -  <i>Corynoneura lobata</i> <br> -  -  -  -  -  -  <i>Tanytarsus</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus mendax</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus nemorosus</i> <br> -  -  -  -  -  -  <i>Rheocricotopus</i> <br> -  -  -  -  -  -  -  <i>Rheocricotopus chalybeatus</i> <br> -  -  -  -  Diptera <br> -  -  -  -  -  Ceratopogonidae <br> -  -  -  -  -  Chironomidae <br> -  -  -  -  -  -  <i>Ablabesmyia</i> <br> -  -  -  -  -  -  <i>Cardiocladius</i> <br> -  -  -  -  -  -  Chironomini1stInstar <br> -  -  -  -  -  -  ChironominiGenusB <br> -  -  -  -  -  -  ChironominiPhoto1 <br> -  -  -  -  -  -  ChironominiPhoto2 <br> -  -  -  -  -  -  ChironominiPhoto3 <br> -  -  -  -  -  -  ChironominiPhoto5 <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cricotopus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus cylindraceus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus olivetus</i> <br> -  -  -  -  -  -  <i>Cryptochironomus</i> <br> -  -  -  -  -  -  Diamesinae <br> -  -  -  -  -  -  <i>Dicrotendipes</i> <br> -  -  -  -  -  -  <i>Eukiefferiella</i> <br> -  -  -  -  -  -  KelianA <br> -  -  -  -  -  -  KelianB <br> -  -  -  -  -  -  KelianC <br> -  -  -  -  -  -  <i>Kiefferulus</i> <br> -  -  -  -  -  -  <i>Microtendipes</i> <br> -  -  -  -  -  -  <i>Nanocladius</i> <br> -  -  -  -  -  -  <i>Nilotanypus</i> <br> -  -  -  -  -  -  <i>Orthocladius</i> <br> -  -  -  -  -  -  <i>Paracladopelma</i> <br> -  -  -  -  -  -  <i>Parametriocnemus</i> <br> -  -  -  -  -  -  <i>Paratendipes</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Pseudorthocladius</i> <br> -  -  -  -  -  -  <i>Rheotanytarsus</i> <br> -  -  -  -  -  -  <i>Stenochironomus</i> <br> -  -  -  -  -  -  <i>Stictochironomus</i> <br> -  -  -  -  -  -  TanytarsiniSurfaceTooth <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemannimyia</i> <br> -  -  -  -  -  -  <i>Corynoneura</i> <br> -  -  -  -  -  -  -  <i>Corynoneura lobata</i> <br> -  -  -  -  -  -  <i>Tanytarsus</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus mendax</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus nemorosus</i> <br> -  -  -  -  -  -  <i>Rheocricotopus</i> <br> -  -  -  -  -  -  -  <i>Rheocricotopus chalybeatus</i> <br> -  -  -  -  Ephemeroptera <br> -  -  -  -  -  Baetidae <br> -  -  -  -  -  Caenidae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Euthyplociidae <br> -  -  -  -  -  Heptageniidae <br> -  -  -  -  -  Leptophlebiidae <br> -  -  -  -  -  Oligoneuriidae <br> -  -  -  -  -  Potamanthidae <br> -  -  -  -  -  Tricorythidae <br> -  -  -  -  Ephemeroptera <br> -  -  -  -  -  Baetidae <br> -  -  -  -  -  Caenidae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Euthyplociidae <br> -  -  -  -  -  Heptageniidae <br> -  -  -  -  -  Leptophlebiidae <br> -  -  -  -  -  Oligoneuriidae <br> -  -  -  -  -  Potamanthidae <br> -  -  -  -  -  Tricorythidae <br> -  -  -  -  Ephemeroptera <br> -  -  -  -  -  Baetidae <br> -  -  -  -  -  Caenidae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Euthyplociidae <br> -  -  -  -  -  Heptageniidae <br> -  -  -  -  -  Leptophlebiidae <br> -  -  -  -  -  Oligoneuriidae <br> -  -  -  -  -  Potamanthidae <br> -  -  -  -  -  Tricorythidae <br> -  -  -  -  Odonata <br> -  -  -  -  -  Chlorocyphidae <br> -  -  -  -  -  -  <i>Rhinocypha</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha aurofulgens</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha humeralis</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  <i>Libellago</i> <br> -  -  -  -  -  -  -  <i>Libellago phaethon</i> <br> -  -  -  -  -  -  -  <i>Libellago semiopaca</i> <br> -  -  -  -  -  -  <i>Heliocypha</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  Gomphidae <br> -  -  -  -  -  -  <i>Burmagomphus</i> <br> -  -  -  -  -  -  -  <i>Burmagomphus insularis</i> <br> -  -  -  -  -  -  <i>Gomphidia</i> <br> -  -  -  -  -  -  <i>Heliogomphus</i> <br> -  -  -  -  -  -  -  <i>Heliogomphus blandulus</i> <br> -  -  -  -  -  -  <i>Ictinogomphus</i> <br> -  -  -  -  -  -  <i>Leptogomphus</i> <br> -  -  -  -  -  -  -  <i>Leptogomphus williamsoni</i> <br> -  -  -  -  -  -  <i>Megalogomphus</i> <br> -  -  -  -  -  -  <i>Onychogomphus</i> <br> -  -  -  -  -  -  <i>Sinogomphus</i> <br> -  -  -  -  -  -  <i>Phaenandrogomphus</i> <br> -  -  -  -  -  -  -  <i>Phaenandrogomphus safei</i> <br> -  -  -  -  -  Lestidae <br> -  -  -  -  -  Libellulidae <br> -  -  -  -  -  -  <i>Trithemis</i> <br> -  -  -  -  -  -  -  <i>Trithemis aurora</i> <br> -  -  -  -  -  -  -  <i>Trithemis festiva</i> <br> -  -  -  -  -  -  <i>Orthetrum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum chrysis</i> <br> -  -  -  -  -  -  -  <i>Orthetrum glaucum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum testaceum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum pruinosum</i> <br> -  -  -  -  -  -  -  -  <i>Orthetrum pruinosum schneideri</i> <br> -  -  -  -  -  -  <i>Tetrathemis</i> <br> -  -  -  -  -  -  <i>Lyriothemis</i> <br> -  -  -  -  -  -  -  <i>Lyriothemis cleis</i> <br> -  -  -  -  -  -  <i>Camacinia</i> <br> -  -  -  -  -  -  -  <i>Camacinia gigantea</i> <br> -  -  -  -  -  -  <i>Onychothemis</i> <br> -  -  -  -  -  -  -  <i>Onychothemis culminicola</i> <br> -  -  -  -  -  -  <i>Pantala</i> <br> -  -  -  -  -  -  -  <i>Pantala flavescens</i> <br> -  -  -  -  -  -  <i>Zygonyx</i> <br> -  -  -  -  -  -  -  <i>Zygonyx iris</i> <br> -  -  -  -  -  -  -  -  <i>Zygonyx iris errans</i> <br> -  -  -  -  -  -  <i>Cratilla</i> <br> -  -  -  -  -  -  -  <i>Cratilla lineata</i> <br> -  -  -  -  -  -  <i>Tyriobapta</i> <br> -  -  -  -  -  -  -  <i>Tyriobapta torrida</i> <br> -  -  -  -  -  -  <i>Neurothemis</i> <br> -  -  -  -  -  -  -  <i>Neurothemis fluctuans</i> <br> -  -  -  -  -  -  -  <i>Neurothemis ramburii</i> <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Platystictidae <br> -  -  -  -  -  -  <i>Drepanosticta</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta actaeon</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta rufostigma</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta versicolor</i> <br> -  -  -  -  -  Megapodagrionidae <br> -  -  -  -  -  -  <i>Rhinagrion</i> <br> -  -  -  -  -  -  -  <i>Rhinagrion elopurae</i> <br> -  -  -  -  -  Amphipterygidae <br> -  -  -  -  -  -  <i>Devadatta</i> <br> -  -  -  -  -  -  -  <i>Devadatta tanduk</i> <br> -  -  -  -  -  Platycnemididae <br> -  -  -  -  -  -  <i>Coeliccia</i> <br> -  -  -  -  -  -  -  <i>Coeliccia arcuata</i> <br> -  -  -  -  -  -  -  <i>Coeliccia borneensis</i> <br> -  -  -  -  -  -  -  <i>Coeliccia cyaneothorax</i> <br> -  -  -  -  -  -  <i>Copera</i> <br> -  -  -  -  -  -  -  <i>Copera vittata</i> <br> -  -  -  -  -  Protoneuridae <br> -  -  -  -  -  -  <i>Prodasineura</i> <br> -  -  -  -  -  -  -  <i>Prodasineura hosei</i> <br> -  -  -  -  -  -  -  <i>Prodasineura verticalis</i> <br> -  -  -  -  -  Euphaeidae <br> -  -  -  -  -  -  <i>Euphaea</i> <br> -  -  -  -  -  -  -  <i>Euphaea impar</i> <br> -  -  -  -  -  -  -  <i>Euphaea subcostalis</i> <br> -  -  -  -  -  -  <i>Dysphaea</i> <br> -  -  -  -  -  -  -  <i>Dysphaea dimidiata</i> <br> -  -  -  -  -  -  -  <i>Dysphaea ulu</i> <br> -  -  -  -  -  Aeshnidae <br> -  -  -  -  -  -  <i>Tetracanthagyna</i> <br> -  -  -  -  -  -  -  <i>Tetracanthagyna degorsi</i> <br> -  -  -  -  -  Cordulegastridae <br> -  -  -  -  -  -  <i>Chlorogomphus</i> <br> -  -  -  -  -  Corduliidae <br> -  -  -  -  -  -  <i>Macromia</i> <br> -  -  -  -  -  -  -  <i>Macromia westwoodii</i> <br> -  -  -  -  -  -  <i>Macromidia</i> <br> -  -  -  -  -  -  -  <i>Macromidia fulva</i> <br> -  -  -  -  -  Coenagrionidae <br> -  -  -  -  -  -  <i>Pseudagrion</i> <br> -  -  -  -  -  -  -  <i>Pseudagrion pilidorsum</i> <br> -  -  -  -  -  -  <i>Agriocnemis</i> <br> -  -  -  -  -  -  -  <i>Agriocnemis femina</i> <br> -  -  -  -  -  -  <i>Stenagrion</i> <br> -  -  -  -  -  -  -  <i>Stenagrion dubium</i> <br> -  -  -  -  -  Calopterygidae <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Neurobasis</i> <br> -  -  -  -  -  -  -  <i>Neurobasis longipes</i> <br> -  -  -  -  Odonata <br> -  -  -  -  -  Chlorocyphidae <br> -  -  -  -  -  -  <i>Rhinocypha</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha aurofulgens</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha humeralis</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  <i>Libellago</i> <br> -  -  -  -  -  -  -  <i>Libellago phaethon</i> <br> -  -  -  -  -  -  -  <i>Libellago semiopaca</i> <br> -  -  -  -  -  -  <i>Heliocypha</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  Gomphidae <br> -  -  -  -  -  -  <i>Burmagomphus</i> <br> -  -  -  -  -  -  -  <i>Burmagomphus insularis</i> <br> -  -  -  -  -  -  <i>Gomphidia</i> <br> -  -  -  -  -  -  <i>Heliogomphus</i> <br> -  -  -  -  -  -  -  <i>Heliogomphus blandulus</i> <br> -  -  -  -  -  -  <i>Ictinogomphus</i> <br> -  -  -  -  -  -  <i>Leptogomphus</i> <br> -  -  -  -  -  -  -  <i>Leptogomphus williamsoni</i> <br> -  -  -  -  -  -  <i>Megalogomphus</i> <br> -  -  -  -  -  -  <i>Onychogomphus</i> <br> -  -  -  -  -  -  <i>Sinogomphus</i> <br> -  -  -  -  -  -  <i>Phaenandrogomphus</i> <br> -  -  -  -  -  -  -  <i>Phaenandrogomphus safei</i> <br> -  -  -  -  -  Lestidae <br> -  -  -  -  -  Libellulidae <br> -  -  -  -  -  -  <i>Trithemis</i> <br> -  -  -  -  -  -  -  <i>Trithemis aurora</i> <br> -  -  -  -  -  -  -  <i>Trithemis festiva</i> <br> -  -  -  -  -  -  <i>Orthetrum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum chrysis</i> <br> -  -  -  -  -  -  -  <i>Orthetrum glaucum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum testaceum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum pruinosum</i> <br> -  -  -  -  -  -  -  -  <i>Orthetrum pruinosum schneideri</i> <br> -  -  -  -  -  -  <i>Tetrathemis</i> <br> -  -  -  -  -  -  <i>Lyriothemis</i> <br> -  -  -  -  -  -  -  <i>Lyriothemis cleis</i> <br> -  -  -  -  -  -  <i>Camacinia</i> <br> -  -  -  -  -  -  -  <i>Camacinia gigantea</i> <br> -  -  -  -  -  -  <i>Onychothemis</i> <br> -  -  -  -  -  -  -  <i>Onychothemis culminicola</i> <br> -  -  -  -  -  -  <i>Pantala</i> <br> -  -  -  -  -  -  -  <i>Pantala flavescens</i> <br> -  -  -  -  -  -  <i>Zygonyx</i> <br> -  -  -  -  -  -  -  <i>Zygonyx iris</i> <br> -  -  -  -  -  -  -  -  <i>Zygonyx iris errans</i> <br> -  -  -  -  -  -  <i>Cratilla</i> <br> -  -  -  -  -  -  -  <i>Cratilla lineata</i> <br> -  -  -  -  -  -  <i>Tyriobapta</i> <br> -  -  -  -  -  -  -  <i>Tyriobapta torrida</i> <br> -  -  -  -  -  -  <i>Neurothemis</i> <br> -  -  -  -  -  -  -  <i>Neurothemis fluctuans</i> <br> -  -  -  -  -  -  -  <i>Neurothemis ramburii</i> <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Platystictidae <br> -  -  -  -  -  -  <i>Drepanosticta</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta actaeon</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta rufostigma</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta versicolor</i> <br> -  -  -  -  -  Megapodagrionidae <br> -  -  -  -  -  -  <i>Rhinagrion</i> <br> -  -  -  -  -  -  -  <i>Rhinagrion elopurae</i> <br> -  -  -  -  -  Amphipterygidae <br> -  -  -  -  -  -  <i>Devadatta</i> <br> -  -  -  -  -  -  -  <i>Devadatta tanduk</i> <br> -  -  -  -  -  Platycnemididae <br> -  -  -  -  -  -  <i>Coeliccia</i> <br> -  -  -  -  -  -  -  <i>Coeliccia arcuata</i> <br> -  -  -  -  -  -  -  <i>Coeliccia borneensis</i> <br> -  -  -  -  -  -  -  <i>Coeliccia cyaneothorax</i> <br> -  -  -  -  -  -  <i>Copera</i> <br> -  -  -  -  -  -  -  <i>Copera vittata</i> <br> -  -  -  -  -  Protoneuridae <br> -  -  -  -  -  -  <i>Prodasineura</i> <br> -  -  -  -  -  -  -  <i>Prodasineura hosei</i> <br> -  -  -  -  -  -  -  <i>Prodasineura verticalis</i> <br> -  -  -  -  -  Euphaeidae <br> -  -  -  -  -  -  <i>Euphaea</i> <br> -  -  -  -  -  -  -  <i>Euphaea impar</i> <br> -  -  -  -  -  -  -  <i>Euphaea subcostalis</i> <br> -  -  -  -  -  -  <i>Dysphaea</i> <br> -  -  -  -  -  -  -  <i>Dysphaea dimidiata</i> <br> -  -  -  -  -  -  -  <i>Dysphaea ulu</i> <br> -  -  -  -  -  Aeshnidae <br> -  -  -  -  -  -  <i>Tetracanthagyna</i> <br> -  -  -  -  -  -  -  <i>Tetracanthagyna degorsi</i> <br> -  -  -  -  -  Cordulegastridae <br> -  -  -  -  -  -  <i>Chlorogomphus</i> <br> -  -  -  -  -  Corduliidae <br> -  -  -  -  -  -  <i>Macromia</i> <br> -  -  -  -  -  -  -  <i>Macromia westwoodii</i> <br> -  -  -  -  -  -  <i>Macromidia</i> <br> -  -  -  -  -  -  -  <i>Macromidia fulva</i> <br> -  -  -  -  -  Coenagrionidae <br> -  -  -  -  -  -  <i>Pseudagrion</i> <br> -  -  -  -  -  -  -  <i>Pseudagrion pilidorsum</i> <br> -  -  -  -  -  -  <i>Agriocnemis</i> <br> -  -  -  -  -  -  -  <i>Agriocnemis femina</i> <br> -  -  -  -  -  -  <i>Stenagrion</i> <br> -  -  -  -  -  -  -  <i>Stenagrion dubium</i> <br> -  -  -  -  -  Calopterygidae <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Neurobasis</i> <br> -  -  -  -  -  -  -  <i>Neurobasis longipes</i> <br> -  -  -  -  Odonata <br> -  -  -  -  -  Chlorocyphidae <br> -  -  -  -  -  -  <i>Rhinocypha</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha aurofulgens</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha humeralis</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  <i>Libellago</i> <br> -  -  -  -  -  -  -  <i>Libellago phaethon</i> <br> -  -  -  -  -  -  -  <i>Libellago semiopaca</i> <br> -  -  -  -  -  -  <i>Heliocypha</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  Gomphidae <br> -  -  -  -  -  -  <i>Burmagomphus</i> <br> -  -  -  -  -  -  -  <i>Burmagomphus insularis</i> <br> -  -  -  -  -  -  <i>Gomphidia</i> <br> -  -  -  -  -  -  <i>Heliogomphus</i> <br> -  -  -  -  -  -  -  <i>Heliogomphus blandulus</i> <br> -  -  -  -  -  -  <i>Ictinogomphus</i> <br> -  -  -  -  -  -  <i>Leptogomphus</i> <br> -  -  -  -  -  -  -  <i>Leptogomphus williamsoni</i> <br> -  -  -  -  -  -  <i>Megalogomphus</i> <br> -  -  -  -  -  -  <i>Onychogomphus</i> <br> -  -  -  -  -  -  <i>Sinogomphus</i> <br> -  -  -  -  -  -  <i>Phaenandrogomphus</i> <br> -  -  -  -  -  -  -  <i>Phaenandrogomphus safei</i> <br> -  -  -  -  -  Lestidae <br> -  -  -  -  -  Libellulidae <br> -  -  -  -  -  -  <i>Trithemis</i> <br> -  -  -  -  -  -  -  <i>Trithemis aurora</i> <br> -  -  -  -  -  -  -  <i>Trithemis festiva</i> <br> -  -  -  -  -  -  <i>Orthetrum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum chrysis</i> <br> -  -  -  -  -  -  -  <i>Orthetrum glaucum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum testaceum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum pruinosum</i> <br> -  -  -  -  -  -  -  -  <i>Orthetrum pruinosum schneideri</i> <br> -  -  -  -  -  -  <i>Tetrathemis</i> <br> -  -  -  -  -  -  <i>Lyriothemis</i> <br> -  -  -  -  -  -  -  <i>Lyriothemis cleis</i> <br> -  -  -  -  -  -  <i>Camacinia</i> <br> -  -  -  -  -  -  -  <i>Camacinia gigantea</i> <br> -  -  -  -  -  -  <i>Onychothemis</i> <br> -  -  -  -  -  -  -  <i>Onychothemis culminicola</i> <br> -  -  -  -  -  -  <i>Pantala</i> <br> -  -  -  -  -  -  -  <i>Pantala flavescens</i> <br> -  -  -  -  -  -  <i>Zygonyx</i> <br> -  -  -  -  -  -  -  <i>Zygonyx iris</i> <br> -  -  -  -  -  -  -  -  <i>Zygonyx iris errans</i> <br> -  -  -  -  -  -  <i>Cratilla</i> <br> -  -  -  -  -  -  -  <i>Cratilla lineata</i> <br> -  -  -  -  -  -  <i>Tyriobapta</i> <br> -  -  -  -  -  -  -  <i>Tyriobapta torrida</i> <br> -  -  -  -  -  -  <i>Neurothemis</i> <br> -  -  -  -  -  -  -  <i>Neurothemis fluctuans</i> <br> -  -  -  -  -  -  -  <i>Neurothemis ramburii</i> <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Platystictidae <br> -  -  -  -  -  -  <i>Drepanosticta</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta actaeon</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta rufostigma</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta versicolor</i> <br> -  -  -  -  -  Megapodagrionidae <br> -  -  -  -  -  -  <i>Rhinagrion</i> <br> -  -  -  -  -  -  -  <i>Rhinagrion elopurae</i> <br> -  -  -  -  -  Amphipterygidae <br> -  -  -  -  -  -  <i>Devadatta</i> <br> -  -  -  -  -  -  -  <i>Devadatta tanduk</i> <br> -  -  -  -  -  Platycnemididae <br> -  -  -  -  -  -  <i>Coeliccia</i> <br> -  -  -  -  -  -  -  <i>Coeliccia arcuata</i> <br> -  -  -  -  -  -  -  <i>Coeliccia borneensis</i> <br> -  -  -  -  -  -  -  <i>Coeliccia cyaneothorax</i> <br> -  -  -  -  -  -  <i>Copera</i> <br> -  -  -  -  -  -  -  <i>Copera vittata</i> <br> -  -  -  -  -  Protoneuridae <br> -  -  -  -  -  -  <i>Prodasineura</i> <br> -  -  -  -  -  -  -  <i>Prodasineura hosei</i> <br> -  -  -  -  -  -  -  <i>Prodasineura verticalis</i> <br> -  -  -  -  -  Euphaeidae <br> -  -  -  -  -  -  <i>Euphaea</i> <br> -  -  -  -  -  -  -  <i>Euphaea impar</i> <br> -  -  -  -  -  -  -  <i>Euphaea subcostalis</i> <br> -  -  -  -  -  -  <i>Dysphaea</i> <br> -  -  -  -  -  -  -  <i>Dysphaea dimidiata</i> <br> -  -  -  -  -  -  -  <i>Dysphaea ulu</i> <br> -  -  -  -  -  Aeshnidae <br> -  -  -  -  -  -  <i>Tetracanthagyna</i> <br> -  -  -  -  -  -  -  <i>Tetracanthagyna degorsi</i> <br> -  -  -  -  -  Cordulegastridae <br> -  -  -  -  -  -  <i>Chlorogomphus</i> <br> -  -  -  -  -  Corduliidae <br> -  -  -  -  -  -  <i>Macromia</i> <br> -  -  -  -  -  -  -  <i>Macromia westwoodii</i> <br> -  -  -  -  -  -  <i>Macromidia</i> <br> -  -  -  -  -  -  -  <i>Macromidia fulva</i> <br> -  -  -  -  -  Coenagrionidae <br> -  -  -  -  -  -  <i>Pseudagrion</i> <br> -  -  -  -  -  -  -  <i>Pseudagrion pilidorsum</i> <br> -  -  -  -  -  -  <i>Agriocnemis</i> <br> -  -  -  -  -  -  -  <i>Agriocnemis femina</i> <br> -  -  -  -  -  -  <i>Stenagrion</i> <br> -  -  -  -  -  -  -  <i>Stenagrion dubium</i> <br> -  -  -  -  -  Calopterygidae <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Neurobasis</i> <br> -  -  -  -  -  -  -  <i>Neurobasis longipes</i> <br> -  -  -  -  Plecoptera <br> -  -  -  -  -  Leuctridae <br> -  -  -  -  -  Nemouridae <br> -  -  -  -  -  Peltoperlidae <br> -  -  -  -  -  Perlidae <br> -  -  -  -  Plecoptera <br> -  -  -  -  -  Leuctridae <br> -  -  -  -  -  Nemouridae <br> -  -  -  -  -  Peltoperlidae <br> -  -  -  -  -  Perlidae <br> -  -  -  -  Plecoptera <br> -  -  -  -  -  Leuctridae <br> -  -  -  -  -  Nemouridae <br> -  -  -  -  -  Peltoperlidae <br> -  -  -  -  -  Perlidae <br> -  -  -  -  Plecoptera <br> -  -  -  -  -  Leuctridae <br> -  -  -  -  -  Nemouridae <br> -  -  -  -  -  Peltoperlidae <br> -  -  -  -  -  Perlidae <br> -  -  -  -  Trichoptera <br> -  -  -  -  -  Calamoceratidae <br> -  -  -  -  -  Dipseudopsidae <br> -  -  -  -  -  Ecnomidae <br> -  -  -  -  -  Hydropsychidae <br> -  -  -  -  -  Hydroptilidae <br> -  -  -  -  -  Lepidostomatidae <br> -  -  -  -  -  Leptoceridae <br> -  -  -  -  -  Philopotamidae <br> -  -  -  -  -  Polycentropodidae <br> -  -  -  -  -  Psychomyiidae <br> -  -  -  -  -  Xiphocentronidae <br> -  -  -  -  Trichoptera <br> -  -  -  -  -  Calamoceratidae <br> -  -  -  -  -  Dipseudopsidae <br> -  -  -  -  -  Ecnomidae <br> -  -  -  -  -  Hydropsychidae <br> -  -  -  -  -  Hydroptilidae <br> -  -  -  -  -  Lepidostomatidae <br> -  -  -  -  -  Leptoceridae <br> -  -  -  -  -  Philopotamidae <br> -  -  -  -  -  Polycentropodidae <br> -  -  -  -  -  Psychomyiidae <br> -  -  -  -  -  Xiphocentronidae <br> -  -  -  -  Trichoptera <br> -  -  -  -  -  Calamoceratidae <br> -  -  -  -  -  Dipseudopsidae <br> -  -  -  -  -  Ecnomidae <br> -  -  -  -  -  Hydropsychidae <br> -  -  -  -  -  Hydroptilidae <br> -  -  -  -  -  Lepidostomatidae <br> -  -  -  -  -  Leptoceridae <br> -  -  -  -  -  Philopotamidae <br> -  -  -  -  -  Polycentropodidae <br> -  -  -  -  -  Psychomyiidae <br> -  -  -  -  -  Xiphocentronidae <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Heteroptera <br> -  -  -  -  -  Gerridae <br> -  -  -  -  -  -  Halobatinae <br> -  -  -  -  -  -  [4spot] <br> -  -  -  -  -  -  [Morphospecies15] <br> -  -  -  -  -  -  [Morphospecies25] <br> -  -  -  -  -  -  [Morphospecies27] <br> -  -  -  -  -  -  [Morphospecies28] <br> -  -  -  -  -  -  [Morphospecies29] <br> -  -  -  -  -  -  [Morphospecies33] <br> -  -  -  -  -  -  [Morphospecies34] <br> -  -  -  -  -  -  [Morphospecies35] <br> -  -  -  -  -  -  [Morphospecies42] <br> -  -  -  -  -  -  [Morphospecies46] <br> -  -  -  -  -  -  [Morphospecies47] <br> -  -  -  -  -  -  [Morphospecies6] <br> -  -  -  -  -  -  <i>Limnometra</i> <br> -  -  -  -  -  -  -  [Limnometra.sp.] <br> -  -  -  -  -  -  <i>Tenagogonus</i> <br> -  -  -  -  -  -  -  [Tenagogonus.sp.1] <br> -  -  -  -  -  -  -  [Tenagogonus.sp.2] <br> -  -  -  -  -  -  <i>Ptilomera</i> <br> -  -  -  -  -  -  -  [Ptilomera.sp.] <br> -  -  -  -  -  -  <i>Potamometropsis</i> <br> -  -  -  -  -  -  -  [Potamometropsis.sp.] <br> -  -  -  -  -  -  <i>Metrocoris</i> <br> -  -  -  -  -  -  -  [Metrocoris.sp.1] <br> -  -  -  -  -  -  -  [Metrocoris.sp.2] <br> -  -  -  -  -  -  <i>Cylindrostethus</i> <br> -  -  -  -  -  -  -  <i>Cylindrostethus scrutator</i> <br> -  -  -  -  -  -  -  [Cylindrostethus.sp.] <br> -  -  -  -  -  Veliidae <br> -  -  -  -  -  -  [Morphospecies20] <br> -  -  -  -  -  -  [Morphospecies24] <br> -  -  -  -  -  -  [Morphospecies30] <br> -  -  -  -  -  -  [Morphospecies31] <br> -  -  -  -  -  -  [Morphospecies36] <br> -  -  -  -  -  -  [Morphospecies37] <br> -  -  -  -  -  -  [Morphospecies38] <br> -  -  -  -  -  -  [Morphospecies4] <br> -  -  -  -  -  -  [Morphospecies40] <br> -  -  -  -  -  -  [Morphospecies41] <br> -  -  -  -  -  -  [Morphospecies43] <br> -  -  -  -  -  -  [Morphospecies44] <br> -  -  -  -  -  -  [Morphospecies45] <br> -  -  -  -  -  -  [Morphospecies7] <br> -  -  -  -  -  -  [Morphospecies7.sp.2] <br> -  -  -  -  -  -  <i>Rhagovelia</i> <br> -  -  -  -  -  -  -  [Rhagovelia.sp.] <br> -  -  -  -  -  -  -  [Rhagovelia.sp.2] <br> -  -  -  -  -  -  -  [Rhagovelia.sp.3] <br> -  -  -  -  -  -  <i>Strongylovelia</i> <br> -  -  -  -  -  -  -  [Strongylovelia.sp.] <br> -  -  -  -  -  Gerridae <br> -  -  -  -  -  -  Halobatinae <br> -  -  -  -  -  -  [4spot] <br> -  -  -  -  -  -  [Morphospecies15] <br> -  -  -  -  -  -  [Morphospecies25] <br> -  -  -  -  -  -  [Morphospecies27] <br> -  -  -  -  -  -  [Morphospecies28] <br> -  -  -  -  -  -  [Morphospecies29] <br> -  -  -  -  -  -  [Morphospecies33] <br> -  -  -  -  -  -  [Morphospecies34] <br> -  -  -  -  -  -  [Morphospecies35] <br> -  -  -  -  -  -  [Morphospecies42] <br> -  -  -  -  -  -  [Morphospecies46] <br> -  -  -  -  -  -  [Morphospecies47] <br> -  -  -  -  -  -  [Morphospecies6] <br> -  -  -  -  -  -  <i>Limnometra</i> <br> -  -  -  -  -  -  -  [Limnometra.sp.] <br> -  -  -  -  -  -  <i>Tenagogonus</i> <br> -  -  -  -  -  -  -  [Tenagogonus.sp.1] <br> -  -  -  -  -  -  -  [Tenagogonus.sp.2] <br> -  -  -  -  -  -  <i>Ptilomera</i> <br> -  -  -  -  -  -  -  [Ptilomera.sp.] <br> -  -  -  -  -  -  <i>Potamometropsis</i> <br> -  -  -  -  -  -  -  [Potamometropsis.sp.] <br> -  -  -  -  -  -  <i>Metrocoris</i> <br> -  -  -  -  -  -  -  [Metrocoris.sp.1] <br> -  -  -  -  -  -  -  [Metrocoris.sp.2] <br> -  -  -  -  -  -  <i>Cylindrostethus</i> <br> -  -  -  -  -  -  -  <i>Cylindrostethus scrutator</i> <br> -  -  -  -  -  -  -  [Cylindrostethus.sp.] <br> -  -  -  -  -  Macroveliidae <br> -  -  -  -  -  -  <i>Rheumatogonus</i> <br> -  -  -  -  -  -  -  [Rheumatogonus.sp.1] <br> -  -  -  -  -  -  -  [Rheumatogonus.sp.2] <br> -  -  -  -  -  -  <i>Ventidius</i> <br> -  -  -  -  -  -  -  [Ventidius.sp.] <br> -  -  -  -  -  -  -  [Ventidius.sp.2] <br> -  -  -  Shrimps <br> -  -  -  Arachnida <br> -  -  -  -  Mites <br> -  -  -  Malacostraca <br> -  -  -  -  Isopoda <br> -  -  Mollusca <br> -  -  -  Gastropoda <br> -  -  Chordata <br> -  -  -  Actinopterygii <br></div><p></p>
Random forest modelling of multi-scale, multi-species habitat associations within KAZA transfrontier conservation area using spoor data
<p>As landscape-scale conservation models grow in prominence, assessments of how wildlife utilise multiple-use landscapes are required to inform effective conservation and management planning. Such efforts should strive to incorporate multi-species perspectives to maximise value for conservation, and should account for scale to accurately capture species-environment relationships. We show that the random forest machine learning algorithm can be used to model large-scale sign-based data in a multi-scale framework. We used this method to investigate scale-dependent habitat associations for 16 mammal species of high conservation importance across the southern Kavango Zambezi (KAZA) Transfrontier Conservation Area in Botswana and Zimbabwe. Our findings revealed substantial variation in the factors shaping habitat use across species, and illustrate that different species often have divergent responses to the same environmental and anthropogenic factors, and differ in the scales at which they respond to them. For all variables across all species, scale optimisation most often selected our largest scale. Precipitation, soil nutrients, and vegetation appeared to be the most important factors determining mammal distributions, likely through their associations with food resources for herbivores and, in turn, prey availability for carnivores. Anthropogenic pressures also had an important influence on habitat use, with many species selecting against areas with high cattle density. The variety of relationships with human density indicated that species vary in their tolerance of humans. We found a consistent positive relationship with areas under high protection, and negative relationship with unprotected and less-strictly protected areas. Policy implications: This study highlights the importance of adopting a multi-scale, multi-species approach for critical decision-making processes that depend on understanding wildlife distributions and habitat associations, such as protected area, corridor, and buffer zone prioritisation. We use our findings to identify changing rainfall patterns and increasing livestock numbers as two emerging trends that may impact wildlife distributions, both within sub-Saharan Africa and on a global scale.</p>
Monarch butterfly roost site variables and habitat conservation
<p>The criteria that Monarchs use to select specific roost sites, and the landscape context where those sites are found, have received little study. We developed ecological niche models for the Atlantic Flyway roost sites using modeling algorithms, citizen scientist observations, and environmental variables that are known to affect Monarchs in the adult stage prior to migration. These models can be used to help prioritize survey and conservation efforts for Monarchs in areas most suitable for their roosting. We conducted a vulnerability assessment of predicted suitable roost habitat, assessed the connectivity of the habitat with Morphological Spatial Pattern Analysis, used Zonation software to create a relative value ranking of the Atlantic flyway region for Monarch roost site conservation, and mapped areas of high conservation value in the flyway in regards to their current predicted vulnerability.</p>
Dataset: Habitat suitability models to make conservation decisions based on areas of high species richness and endemism
<p>This repository contains the files associated with the following article:</p> <p>Hernández-Quiroz NS, EI Badano, F Barragán-Torres, J Flores & C Pinedo-Álvarez. Habitat suitability models to make conservation decisions based on areas of high species richness and endemism. Biodiversity and Conservation, 27, pp. 3185-3200. <a href="https://doi.org/10.1007/s10531-018-1596-9">https://doi.org/10.1007/s10531-018-1596-9</a></p> <p>The Microsoft Excel file (SM 01-Oak occurrences.xlsx) contains the occurrence points used to calibrate the habitat suitability model of each oak species (59 species in total). This file indicates the name of the species (column A), latitude and longitude of each occurrence point (columns B and C; in geographic coordinates) and the full set of bioclimatic variables (columns D-V) and topographic variables (columns W-Z) associated to each point. These later data are provided as they were gathered from the bioclimatic layers of WorldClim and the topographic layers of the Mexican National Institute of Statistics and Geography. The repository also contains interactive maps indicating the predicted and observed distributions of the 59 Mexican oak species (SM 02-Estimated oak distribution ranges.kmz), and the probability-based and occurrence-based map of oak richness and endemic species (SM 03-Oak richness maps.kmz). These geographic projections are provided in KMZ format to make them easy to visualize in Google Earth (freely available at www.google.com/earth). Details about these KMZ files can be consulted by accessing the file properties after opening them in Google Earth.</p>
Dataset accompanying Riesch et al. 2019. Grazing by wild red deer: management options for the conservation of semi-natural open habitats. Journal of Applied Ecology
<p>This repository contains vegetation biomass and forage quality data used by Riesch et al. in an article accepted in Journal of Applied Ecology.</p> <p>Metadata are provided in the first excel worksheet ('explanation_overview'). For further details please see the original article.</p>
Figure 1 in Habitat associations and conservation of Eremias acutirostris (Boulenger, 1887) in the Sistan region, Zabol, Iran
Figure 1. Adult male Eremias acutirostris from the Zabol region, Iran.
Field margins as substitute habitat for the conservation of birds in agricultural wetlands; Supplementary information
<p>Supplementary material, dataset and script links to the research paper submit for recommendation by PCI Ecology.</p>
Data for: High focus on threatened species and habitats may undermine biodiversity conservation: evidence from the northern Baltic Sea
<p><span>Conservation policies and environmental impact assessments commonly target threatened species and habitats. Nevertheless, macroecological research provides reasons why also common species should be considered. </span><span>We investigate the consequences of focusing solely on legally protected species and habitats in a spatial conservation planning context using a comprehensive, benthic marine dataset from the northern Baltic Sea</span><span>. </span><span>Using spatial prioritization and surrogacy analysis, we </span><span>show that the common approach in conservation planning, where legally listed threatened species and habitats are the focus of conservation efforts, could lead to poor outcomes for common species (and therefore biodiversity as a whole), allowing them to decline in the future.</span> <span> </span><span>If conservation efforts were aimed solely at threatened species, common species would experience a loss of 62% coverage. In contrast, if conservation plans were based only on common species, threatened species would suffer a loss of 1%.</span><span> Threatened species are rare and their ecological niches distinct, making them poor surrogates for biodiversity. The best results are achieved by unified planning for all species and habitats. The minimal step towards acknowledging common species in conservation planning would be the inclusion of the richness of common species, complemented by information on indicator species or species of high importance for ecosystem functioning. The trade-off between planning for rare and common species should be evaluated, to minimize losses to biodiversity. </span></p>
Data from: Conserving habitat for migratory ungulates: how wide is a migration corridor?
<ol> <li>Conserving migratory ungulates relies on the analysis of GPS collar data and associated maps of migration corridors to inform management and policy actions. Current methods for identifying migratory corridors use complex statistical models designed to account for movement uncertainty rather than estimating the amount of space required by animals to migrate. Further, such methods can complicate conservation efforts by producing highly variable corridor widths and non-contiguous corridors that do not fully connect seasonal ranges.</li> <li>To remedy this, we propose an intuitive line buffer approach for delineating individual migration corridors that is simple to implement and focuses on the functional corridor widths needed by migratory ungulates. </li> <li>By buffering a line that connects successive GPS locations, we can delineate individual migration corridors with consistent widths that are robust to variable parameters (GPS fix-rate, travel speed, tortuosity) and provide contiguous connection between seasonal ranges. Using a combination of expert knowledge, simulation, and 10-min GPS collar data collected from mule deer (<em>Odocoileus</em> <em>hemionus</em>) and pronghorn (<em>Antilocapra</em> <em>americana</em>), we suggest 400 to 600 m are reasonable estimates of functional migration corridor widths for individuals of those species.</li> <li>Our line buffer approach is intended to simplify migration corridor delineation, improve transparency, and encourage a broader discussion of functional corridor widths. These considerations help advance efforts to conserve habitat within migration corridors and prioritize conservation efforts within a single corridor or across multiple corridors.</li> </ol>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.