Àlex Giménez-Romero, Manuel A. Matías, Carlos M. Duarte
<div> <section> <h3> Aim</h3> <p>To characterise the size and geometry of coral reefs on a global scale.</p> </section> <section> <h3> Location</h3> <p>Global.</p> </section> <section> <h3> Time Period</h3> <p>Present.</p> </section> <section> <h3> Major Taxa Studied</h3> <p>Coral reefs.</p> </section> <section> <h3> Methods</h3> <p>We process the Allen Coral Atlas database of shallow-water tropical reefs to obtain a comprehensive and unprecedented inventory of coral reefs worldwide. We analyse different macroecological and morphological patterns, including size distribution, the area-perimeter relationship, inter-reef distance distribution, and the fractal dimension of individual reefs and coral provinces.</p> </section> <section> <h3> Results</h3> <p>We identified a total of 1,579,772 individual reefs worldwide (> 1000 m<sup>2</sup>), extending over a total of 52,423 km<sup>2</sup> of ocean area with mean and median sizes of 3.32 and 0.3 ha, respectively. We unravelled three universal laws that are common to all coral reef provinces: the size-frequency distribution and the inter-reef distance distribution follow power laws with an exponent of 1.8 and 2.33, respectively. At the same time, the area-perimeter relationship conforms to a power-law with an exponent of 1.26. Furthermore, we demonstrate that coral reefs develop fractal patterns characterised by a perimeter fractal dimension of <span></span><math> <semantics> <mrow> <msub> <mi>D</mi> <mi>P</mi> </msub> <mo>=</mo> <mn>1.3</mn> </mrow> <annotation>$$ {D}_P=1.3 $$</annotation> </semantics></math> and a surface fractal dimension of <span></span><math> <semantics> <mrow> <msub> <mi>D</mi> <mi>A</mi> </msub> <mo>=</mo> <mn>1.6</mn> </mrow> <annotation>$$ {D}_A=1.6 $$</annotation> </semantics></math>. Our analysis suggests that coral reefs
在全球范围内描述珊瑚礁的大小和几何形状。
{"title":"Unravelling the Universal Spatial Properties of Coral Reefs","authors":"Àlex Giménez-Romero, Manuel A. Matías, Carlos M. Duarte","doi":"10.1111/geb.13939","DOIUrl":"10.1111/geb.13939","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To characterise the size and geometry of coral reefs on a global scale.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>Present.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Coral reefs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We process the Allen Coral Atlas database of shallow-water tropical reefs to obtain a comprehensive and unprecedented inventory of coral reefs worldwide. We analyse different macroecological and morphological patterns, including size distribution, the area-perimeter relationship, inter-reef distance distribution, and the fractal dimension of individual reefs and coral provinces.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We identified a total of 1,579,772 individual reefs worldwide (> 1000 m<sup>2</sup>), extending over a total of 52,423 km<sup>2</sup> of ocean area with mean and median sizes of 3.32 and 0.3 ha, respectively. We unravelled three universal laws that are common to all coral reef provinces: the size-frequency distribution and the inter-reef distance distribution follow power laws with an exponent of 1.8 and 2.33, respectively. At the same time, the area-perimeter relationship conforms to a power-law with an exponent of 1.26. Furthermore, we demonstrate that coral reefs develop fractal patterns characterised by a perimeter fractal dimension of <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mi>D</mi>\u0000 <mi>P</mi>\u0000 </msub>\u0000 <mo>=</mo>\u0000 <mn>1.3</mn>\u0000 </mrow>\u0000 <annotation>$$ {D}_P=1.3 $$</annotation>\u0000 </semantics></math> and a surface fractal dimension of <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mi>D</mi>\u0000 <mi>A</mi>\u0000 </msub>\u0000 <mo>=</mo>\u0000 <mn>1.6</mn>\u0000 </mrow>\u0000 <annotation>$$ {D}_A=1.6 $$</annotation>\u0000 </semantics></math>. Our analysis suggests that coral reefs","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13939","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pablo Yair Huais, Luis Osorio-Olvera, Javier Maximiliano Cordier, Ana N. Tomba, Jorge Soberón, Rafael Loyola, Javier Nori
Aim
We aimed to delimit hotspots for terrestrial threatened vertebrate species (HTV) through novel macroecological and statistical approaches.
Location
Global.
Time Period
Present day (1979–2024).
Major Taxa Studied
Terrestrial threatened vertebrate species (n = 7188).
Methods
In comparison with previous delimitations of hotspots, we: (i) considered richness and degree of endemism together through a robust statistical framework; (ii) focused on a priority set of species extremely important in terms of conservation, based on IUCN threat status; and (iii) used a fine spatial scale which allowed us to define key sub-areas within classic hotspots. We also assessed the degree of protection and human impact within the proposed HTV.
Results
We propose 20 global hotspots for threatened terrestrial vertebrates. In comparison with classic hotspots, proposed HTV have a significantly more limited distribution, covering ~27% of classic hotspots' area. In addition, a large proportion of HTV (~27%) does not match with classic hotspots. The overlap between HTV and protected areas (PAs) is low (< 11%), and extremely low when only strict protected areas are considered (< 1.5%). Also, a great degree of HTV exhibits high to extreme levels of human modification. On average, the velocity of climate change within HTV has been low, but attention must be given to notable areas presenting medium to high velocities. Interestingly, the geographical locations of highly endemic and rich areas considerably varied across individual vertebrate taxa. Yet, a high proportion of these priority areas for individual taxa are covered by the proposed HTV (74%–89%).
Main Conclusions
Our findings present key areas of the world for threatened terrestrial vertebrate species, many of these at high risk due to an interplay among low levels of protection, extreme levels of human modification and climate change. The proposed HTV are highly relevant in terms of decision-making, serving as a guide for allocating the limited conservation resources.
我们旨在通过新的宏观生态学和统计学方法来划定陆地濒危脊椎动物物种（HTV）的热点。
{"title":"Rethinking Global Hotspots for Threatened Terrestrial Vertebrates","authors":"Pablo Yair Huais, Luis Osorio-Olvera, Javier Maximiliano Cordier, Ana N. Tomba, Jorge Soberón, Rafael Loyola, Javier Nori","doi":"10.1111/geb.13942","DOIUrl":"10.1111/geb.13942","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>We aimed to delimit hotspots for terrestrial threatened vertebrate species (HTV) through novel macroecological and statistical approaches.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>Present day (1979–2024).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Terrestrial threatened vertebrate species (<i>n</i> = 7188).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In comparison with previous delimitations of hotspots, we: (i) considered richness and degree of endemism together through a robust statistical framework; (ii) focused on a priority set of species extremely important in terms of conservation, based on IUCN threat status; and (iii) used a fine spatial scale which allowed us to define key sub-areas within classic hotspots. We also assessed the degree of protection and human impact within the proposed HTV.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We propose 20 global hotspots for threatened terrestrial vertebrates. In comparison with classic hotspots, proposed HTV have a significantly more limited distribution, covering ~27% of classic hotspots' area. In addition, a large proportion of HTV (~27%) does not match with classic hotspots. The overlap between HTV and protected areas (PAs) is low (< 11%), and extremely low when only strict protected areas are considered (< 1.5%). Also, a great degree of HTV exhibits high to extreme levels of human modification. On average, the velocity of climate change within HTV has been low, but attention must be given to notable areas presenting medium to high velocities. Interestingly, the geographical locations of highly endemic and rich areas considerably varied across individual vertebrate taxa. Yet, a high proportion of these priority areas for individual taxa are covered by the proposed HTV (74%–89%).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our findings present key areas of the world for threatened terrestrial vertebrate species, many of these at high risk due to an interplay among low levels of protection, extreme levels of human modification and climate change. The proposed HTV are highly relevant in terms of decision-making, serving as a guide for allocating the limited conservation resources.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142742803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<div> <section> <h3> Aim</h3> <p>As global change accelerates, accurate predictions of species distributions and biodiversity patterns are critical to limit biodiversity loss. Numerous studies have found that coarse-grain species distribution models (SDMs) perform poorly relative to fine-grain models because they mismatch environmental information with observations. However, it remains unclear how grain-size biases vary in intensity across space and time, possibly generating inaccurate predictions for specific regions, seasons or species. For example, coarse-grain biases may intensify in patchy, discontinuous landscapes. Such biases may accumulate to produce highly misleading estimates of continental and seasonal biodiversity patterns.</p> </section> <section> <h3> Location</h3> <p>United States and Canada.</p> </section> <section> <h3> Time Period</h3> <p>2004–2021.</p> </section> <section> <h3> Major Taxa Studied</h3> <p>Birds (Aves).</p> </section> <section> <h3> Methods</h3> <p>We fit presence-absence SDMs characterising the summer and winter distributions of 572 bird species native to the US and Canada across five spatial grains from 1 to 50 km, using observations from the eBird citizen science initiative. We combined these predictions to generate seasonal biodiversity estimates across the US and Canada, which we validated using observations from 322 independent sites.</p> </section> <section> <h3> Results</h3> <p>We find that in both seasons, 1 km models more accurately predicted species presence, absence and richness at local sites. Coarse-grain models (even at 3 km) consistently under-predicted range area, potentially missing important habitat. This bias intensified during summer (83%–86% of species) when many birds have smaller ‘operational scales’ via localised home ranges while breeding. Biases were greatest in desert regions with patchier habitat and for range-restricted and habitat-specialist species. Predictions based on coarse-grain models overpredicted avian diversity in the west and underpredicted it in the great plains, prairie pothole region and boreal zones.</p> </section> <section> <h3> Main Conclusions</h3> <p>We demonstrate that coarse-grain models can bias seasonal and continental estimates of biodiversity patterns across space and time and that grain-related biases intensify during summer and in patchier landscapes, especially for range-restricted and habitat speciali
{"title":"Fine-Grain Predictions Are Key to Accurately Represent Continental-Scale Biodiversity Patterns","authors":"Jeremy M. Cohen, Walter Jetz","doi":"10.1111/geb.13934","DOIUrl":"10.1111/geb.13934","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>As global change accelerates, accurate predictions of species distributions and biodiversity patterns are critical to limit biodiversity loss. Numerous studies have found that coarse-grain species distribution models (SDMs) perform poorly relative to fine-grain models because they mismatch environmental information with observations. However, it remains unclear how grain-size biases vary in intensity across space and time, possibly generating inaccurate predictions for specific regions, seasons or species. For example, coarse-grain biases may intensify in patchy, discontinuous landscapes. Such biases may accumulate to produce highly misleading estimates of continental and seasonal biodiversity patterns.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>United States and Canada.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>2004–2021.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Birds (Aves).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We fit presence-absence SDMs characterising the summer and winter distributions of 572 bird species native to the US and Canada across five spatial grains from 1 to 50 km, using observations from the eBird citizen science initiative. We combined these predictions to generate seasonal biodiversity estimates across the US and Canada, which we validated using observations from 322 independent sites.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We find that in both seasons, 1 km models more accurately predicted species presence, absence and richness at local sites. Coarse-grain models (even at 3 km) consistently under-predicted range area, potentially missing important habitat. This bias intensified during summer (83%–86% of species) when many birds have smaller ‘operational scales’ via localised home ranges while breeding. Biases were greatest in desert regions with patchier habitat and for range-restricted and habitat-specialist species. Predictions based on coarse-grain models overpredicted avian diversity in the west and underpredicted it in the great plains, prairie pothole region and boreal zones.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>We demonstrate that coarse-grain models can bias seasonal and continental estimates of biodiversity patterns across space and time and that grain-related biases intensify during summer and in patchier landscapes, especially for range-restricted and habitat speciali","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaojie Gao, Andrew D. Richardson, Mark A. Friedl, Minkyu Moon, Josh M. Gray
Background
Climate-change-induced shifts in the timing of leaf emergence during spring have been widely documented and have important ecological consequences. However, mechanistic knowledge regarding what controls the timing of spring leaf emergence is incomplete. Field-based studies under natural conditions suggest that climate-warming-induced decreases in cold temperature accumulation (chilling) have expanded the dormancy duration or reduced the sensitivity of plants to warming temperatures (thermal forcing) during spring, thereby slowing the rate at which the timing of leaf emergence is shifting earlier in response to ongoing climate change. However, recent studies have argued that the apparent reductions in temperature sensitivity may arise from artefacts in the way that temperature sensitivity is calculated, while other studies based on statistical and mechanistic models specifically designed to quantify the role of chilling have shown conflicting results.
Methods
We analysed four commonly used combinations of phenology and temperature datasets obtained from remote sensing and ground observations to elucidate whether current model-based approaches robustly quantify how chilling, in concert with thermal forcing, controls the timing of leaf emergence during spring under current climate conditions.
Results
We show that widely used modeling approaches that are calibrated using field-based observations misspecify the role of chilling under current climate conditions as a result of statistical artefacts inherent to the way that chilling is parameterised. Our results highlight the limitations of existing modelling approaches and observational data in quantifying how chilling affects the timing of spring leaf emergence and suggest that decreasing chilling arising from climate warming may not constrain near-future shifts towards earlier leaf emergence in extra-tropical ecosystems worldwide.
{"title":"Thermal Forcing Versus Chilling? Misspecification of Temperature Controls in Spring Phenology Models","authors":"Xiaojie Gao, Andrew D. Richardson, Mark A. Friedl, Minkyu Moon, Josh M. Gray","doi":"10.1111/geb.13932","DOIUrl":"10.1111/geb.13932","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Climate-change-induced shifts in the timing of leaf emergence during spring have been widely documented and have important ecological consequences. However, mechanistic knowledge regarding what controls the timing of spring leaf emergence is incomplete. Field-based studies under natural conditions suggest that climate-warming-induced decreases in cold temperature accumulation (chilling) have expanded the dormancy duration or reduced the sensitivity of plants to warming temperatures (thermal forcing) during spring, thereby slowing the rate at which the timing of leaf emergence is shifting earlier in response to ongoing climate change. However, recent studies have argued that the apparent reductions in temperature sensitivity may arise from artefacts in the way that temperature sensitivity is calculated, while other studies based on statistical and mechanistic models specifically designed to quantify the role of chilling have shown conflicting results.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We analysed four commonly used combinations of phenology and temperature datasets obtained from remote sensing and ground observations to elucidate whether current model-based approaches robustly quantify how chilling, in concert with thermal forcing, controls the timing of leaf emergence during spring under current climate conditions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We show that widely used modeling approaches that are calibrated using field-based observations misspecify the role of chilling under current climate conditions as a result of statistical artefacts inherent to the way that chilling is parameterised. Our results highlight the limitations of existing modelling approaches and observational data in quantifying how chilling affects the timing of spring leaf emergence and suggest that decreasing chilling arising from climate warming may not constrain near-future shifts towards earlier leaf emergence in extra-tropical ecosystems worldwide.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142519535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ana Paula L. Costa, Gisele R. Winck, Bernardo R. Teixeira, Rosana Gentile, Paulo S. D'Andrea, Emerson M. Vieira, Renata Pardini, Thomas Püttker, Cecilia S. Andreazzi
<div> <section> <h3> Aim</h3> <p>Changes in landscape configuration significantly impact ecosystems and the services they provide, including disease regulation for both humans and wildlife. Land use conversion usually favors disturbed-adapted species, which are often known reservoirs of zoonotic parasites, thereby potentially escalating spillover events (i.e., the transmission of parasites to new hosts, including humans). Here we aimed to investigate how alterations in landscape use and configuration influence the distribution and co-occurrence of potential hosts of zoonotic and epizootic parasites.</p> </section> <section> <h3> Location</h3> <p>Brazilian Atlantic Forest.</p> </section> <section> <h3> Time Period</h3> <p>Data collection spanned from 1997 to 2019.</p> <p>Major taxa studied small mammals.</p> </section> <section> <h3> Methods</h3> <p>We integrated ecological network metrics and joint distribution models while accounting for phylogenetic relationships and functional traits to answer two main questions: (1) do small mammal species considered central hosts in the transmission of parasites exhibit a higher probability of occurrence in landscapes with reduced native vegetation areas? (2) Do small mammal hosts that share a higher number of parasites have higher co-occurrence probabilities?</p> </section> <section> <h3> Results</h3> <p>Our results demonstrated that species identified as significant hosts in our centrality network analysis displayed an increased probability of occurrence in landscapes that are both more fragmented and have a higher proportion of farming areas, hence fewer native vegetation areas. Regarding the relationship between species co-occurrence and parasite sharing, our findings indicated that most strong co-occurrences were prevalent within groups with higher parasite fauna similarity, but not all species sharing parasites had a higher probability of co-occurring.</p> </section> <section> <h3> Conclusions</h3> <p>Here we highlight the effects of landscape conversion on small mammal species, including how different configurations of land use can influence both central and non-central host occurrences. Besides, our results also indicate that parasite transmission may be overestimated when the co-occurrence probability of potential host species is not considered. We highly recommend incor
{"title":"Predicting Landscape Conversion Impact on Small Mammal Occurrence and the Transmission of Parasites in the Atlantic Forest","authors":"Ana Paula L. Costa, Gisele R. Winck, Bernardo R. Teixeira, Rosana Gentile, Paulo S. D'Andrea, Emerson M. Vieira, Renata Pardini, Thomas Püttker, Cecilia S. Andreazzi","doi":"10.1111/geb.13933","DOIUrl":"10.1111/geb.13933","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Changes in landscape configuration significantly impact ecosystems and the services they provide, including disease regulation for both humans and wildlife. Land use conversion usually favors disturbed-adapted species, which are often known reservoirs of zoonotic parasites, thereby potentially escalating spillover events (i.e., the transmission of parasites to new hosts, including humans). Here we aimed to investigate how alterations in landscape use and configuration influence the distribution and co-occurrence of potential hosts of zoonotic and epizootic parasites.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Brazilian Atlantic Forest.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>Data collection spanned from 1997 to 2019.</p>\u0000 \u0000 <p>Major taxa studied small mammals.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We integrated ecological network metrics and joint distribution models while accounting for phylogenetic relationships and functional traits to answer two main questions: (1) do small mammal species considered central hosts in the transmission of parasites exhibit a higher probability of occurrence in landscapes with reduced native vegetation areas? (2) Do small mammal hosts that share a higher number of parasites have higher co-occurrence probabilities?</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our results demonstrated that species identified as significant hosts in our centrality network analysis displayed an increased probability of occurrence in landscapes that are both more fragmented and have a higher proportion of farming areas, hence fewer native vegetation areas. Regarding the relationship between species co-occurrence and parasite sharing, our findings indicated that most strong co-occurrences were prevalent within groups with higher parasite fauna similarity, but not all species sharing parasites had a higher probability of co-occurring.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Here we highlight the effects of landscape conversion on small mammal species, including how different configurations of land use can influence both central and non-central host occurrences. Besides, our results also indicate that parasite transmission may be overestimated when the co-occurrence probability of potential host species is not considered. We highly recommend incor","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13933","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142519532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mariana Álvarez-Noriega, Juan C. Ortiz, Daniela M. Ceccarelli, Michael J. Emslie, Katharina E. Fabricius, Michelle J. Jonker, Marji Puotinen, Barbara J. Robson, Chris M. Roelfsema, Tane H. Sinclair-Taylor, Renata Ferrari
Aim
Identifying the maximum coral cover that a coral community can sustain (i.e., its ‘upper limit’) is important for predicting community dynamics and improving management strategies. Here, we quantify the relationship between estimated upper limits and key environmental factors on coral reefs: hard substrate availability, temperature and water clarity.
Location
Great Barrier Reef (GBR), Australia (over 1400 km).
Time Period
1990 to 2022.
Major Taxa Studied
Scleractinian corals.
Methods
We used 32 years of data on coral cover around reef perimeters. Each reef was divided into four wave-exposure habitats depending on prevailing wind conditions. For each site, we determined if hard coral cover had reached a plateau or upper limit. Next, we extracted existing estimates of hard substrate availability, modelled water temperature and Secchi depth. Then, we quantified the relationship between these environmental variables and the upper limits.
Results
We found varying upper limits across the GBR, with a median of 33% coral cover and only 17% of the estimated upper limits exceeded 50% coral cover. Upper limits increased towards the southern reefs. Our results show that upper limits increased with increasing hard substrate availability and decreased with temperature and, to a lesser extent, with water clarity.
Main Conclusions
The upper limits estimated in this study are much lower than what is commonly assumed when modelling ecological dynamics, most likely resulting in predicted recovery rates being inappropriately high. Although hard substrate ultimately restricted upper limits, there are mechanisms constraining the proportion of hard substrate that is covered by hard corals. The negative relationship between temperature and upper limits cannot be explained by changes in macroalgal abundance but may be related to changes in species composition. The quantitative relationships between the upper limits of coral cover and environmental variables will provide critical information to prioritise sites for management interventions.
{"title":"Spatial Variation in Upper Limits of Coral Cover on the Great Barrier Reef","authors":"Mariana Álvarez-Noriega, Juan C. Ortiz, Daniela M. Ceccarelli, Michael J. Emslie, Katharina E. Fabricius, Michelle J. Jonker, Marji Puotinen, Barbara J. Robson, Chris M. Roelfsema, Tane H. Sinclair-Taylor, Renata Ferrari","doi":"10.1111/geb.13928","DOIUrl":"10.1111/geb.13928","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Identifying the maximum coral cover that a coral community can sustain (i.e., its ‘upper limit’) is important for predicting community dynamics and improving management strategies. Here, we quantify the relationship between estimated upper limits and key environmental factors on coral reefs: hard substrate availability, temperature and water clarity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Great Barrier Reef (GBR), Australia (over 1400 km).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>1990 to 2022.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Scleractinian corals.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used 32 years of data on coral cover around reef perimeters. Each reef was divided into four wave-exposure habitats depending on prevailing wind conditions. For each site, we determined if hard coral cover had reached a plateau or upper limit. Next, we extracted existing estimates of hard substrate availability, modelled water temperature and Secchi depth. Then, we quantified the relationship between these environmental variables and the upper limits.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found varying upper limits across the GBR, with a median of 33% coral cover and only 17% of the estimated upper limits exceeded 50% coral cover. Upper limits increased towards the southern reefs. Our results show that upper limits increased with increasing hard substrate availability and decreased with temperature and, to a lesser extent, with water clarity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>The upper limits estimated in this study are much lower than what is commonly assumed when modelling ecological dynamics, most likely resulting in predicted recovery rates being inappropriately high. Although hard substrate ultimately restricted upper limits, there are mechanisms constraining the proportion of hard substrate that is covered by hard corals. The negative relationship between temperature and upper limits cannot be explained by changes in macroalgal abundance but may be related to changes in species composition. The quantitative relationships between the upper limits of coral cover and environmental variables will provide critical information to prioritise sites for management interventions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
James S. Sinclair, Rachel Stubbington, Ralf B. Schäfer, Libuše Barešová, Núria Bonada, Zoltán Csabai, J. Iwan Jones, Aitor Larrañaga, John F. Murphy, Petr Pařil, Marek Polášek, Jes J. Rasmussen, Michal Straka, Gábor Várbíró, Ralf C. M. Verdonschot, Ellen A. R. Welti, Peter Haase
Aim
To determine which riverine invertebrate traits respond consistently to anthropogenic impacts across multiple biogeographic regions.
Location
Europe.
Time Period
1981–2021.
Major Taxa Studied
Riverine invertebrates.
Methods
We compiled a database of riverine invertebrate community time series for 673 sites across six European countries spanning six freshwater ecoregions. We compared trait responses to anthropogenic impacts (quantified as changes in ‘ecological quality’) among regions for seven ‘ecological’ traits, which reflect habitat preferences, and nine ‘biological’ traits (e.g., morphology or life history), which represent taxon-specific attributes that can influence ecosystem processes.
Results
Four ecological traits (current, microhabitat, salinity and trophic preferences) and one biological trait (dispersal mode) responded consistently across regions. These responses were primarily driven by spatial differences among poorer to better quality sites. Responses to temporal changes in quality were comparable but less pronounced.
Main Conclusions
Consistent responses to anthropogenic impacts across multiple ecological traits indicate these traits may improve broader scale measurements, comparisons and predictions of community responses. However, we could not use ecological traits to identify the actions of specific stressors because multiple traits always responded as a group. Inconsistent responses across almost all biological traits indicated that these traits may be less predictive of impacts across regions. Predictions of how biological traits, and associated ecosystem processes, respond to anthropogenic impacts may be most effective at regional scales where responses are more consistent.
确定在多个生物地理区域中，河流无脊椎动物的哪些特征会对人为影响做出一致的反应。
{"title":"Ecological but Not Biological Traits of European Riverine Invertebrates Respond Consistently to Anthropogenic Impacts","authors":"James S. Sinclair, Rachel Stubbington, Ralf B. Schäfer, Libuše Barešová, Núria Bonada, Zoltán Csabai, J. Iwan Jones, Aitor Larrañaga, John F. Murphy, Petr Pařil, Marek Polášek, Jes J. Rasmussen, Michal Straka, Gábor Várbíró, Ralf C. M. Verdonschot, Ellen A. R. Welti, Peter Haase","doi":"10.1111/geb.13931","DOIUrl":"10.1111/geb.13931","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To determine which riverine invertebrate traits respond consistently to anthropogenic impacts across multiple biogeographic regions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Europe.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>1981–2021.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Riverine invertebrates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We compiled a database of riverine invertebrate community time series for 673 sites across six European countries spanning six freshwater ecoregions. We compared trait responses to anthropogenic impacts (quantified as changes in ‘ecological quality’) among regions for seven ‘ecological’ traits, which reflect habitat preferences, and nine ‘biological’ traits (e.g., morphology or life history), which represent taxon-specific attributes that can influence ecosystem processes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Four ecological traits (current, microhabitat, salinity and trophic preferences) and one biological trait (dispersal mode) responded consistently across regions. These responses were primarily driven by spatial differences among poorer to better quality sites. Responses to temporal changes in quality were comparable but less pronounced.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Consistent responses to anthropogenic impacts across multiple ecological traits indicate these traits may improve broader scale measurements, comparisons and predictions of community responses. However, we could not use ecological traits to identify the actions of specific stressors because multiple traits always responded as a group. Inconsistent responses across almost all biological traits indicated that these traits may be less predictive of impacts across regions. Predictions of how biological traits, and associated ecosystem processes, respond to anthropogenic impacts may be most effective at regional scales where responses are more consistent.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13931","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ferran Sayol, Joseph P. Wayman, Paul Dufour, Thomas E. Martin, Julian P. Hume, Maria Wagner Jørgensen, Natàlia Martínez-Rubio, Ariadna Sanglas, Filipa C. Soares, Rob Cooke, Chase D. Mendenhall, Jay R. Margolis, Juan Carlos Illera, Rhys Lemoine, Eva Benavides, Oriol Lapiedra, Kostas A. Triantis, Alex L. Pigot, Joseph A. Tobias, Søren Faurby, Thomas J. Matthews
Motivation
Human activities have been reshaping the natural world for tens of thousands of years, leading to the extinction of hundreds of bird species. Past research has provided evidence of extinction selectivity towards certain groups of species, but trait information is lacking for the majority of clades, especially for prehistoric extinctions identified only through subfossil remains. This incomplete knowledge potentially obscures the structure of natural communities, undermining our ability to infer changes in biodiversity across space and time, including trends in functional and phylogenetic diversity. Biases in currently available trait data also limit our ability to identify drivers and processes of extinction. Here we present AVOTREX, an open-access database of species traits for all birds known to have gone extinct in the last 130,000 years. This database provides detailed morphological information for 610 extinct species, along with a pipeline to build phylogenetic trees that include these extinct species.
Main Types of Variables Contained
For each extinct bird species, we provide information on the taxonomy, geographic location, and period of extinction. We also present data on island endemicity, flight ability, and body mass, as well as standard measurements of external (matching the AVONET database of extant birds) and skeletal morphology from museum specimens where available. To ensure comprehensive morphological data coverage, we estimate all missing morphological measurements using a data imputation technique based on machine learning. Finally, we provide an R package to graft all extinct species onto a global phylogeny of extant species (BirdTree).
Spatial Location and Grain
Global.
Time Period and Grain
All known globally extinct bird species from 130,000 years ago up until 2024.
{"title":"AVOTREX: A Global Dataset of Extinct Birds and Their Traits","authors":"Ferran Sayol, Joseph P. Wayman, Paul Dufour, Thomas E. Martin, Julian P. Hume, Maria Wagner Jørgensen, Natàlia Martínez-Rubio, Ariadna Sanglas, Filipa C. Soares, Rob Cooke, Chase D. Mendenhall, Jay R. Margolis, Juan Carlos Illera, Rhys Lemoine, Eva Benavides, Oriol Lapiedra, Kostas A. Triantis, Alex L. Pigot, Joseph A. Tobias, Søren Faurby, Thomas J. Matthews","doi":"10.1111/geb.13927","DOIUrl":"10.1111/geb.13927","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Motivation</h3>\u0000 \u0000 <p>Human activities have been reshaping the natural world for tens of thousands of years, leading to the extinction of hundreds of bird species. Past research has provided evidence of extinction selectivity towards certain groups of species, but trait information is lacking for the majority of clades, especially for prehistoric extinctions identified only through subfossil remains. This incomplete knowledge potentially obscures the structure of natural communities, undermining our ability to infer changes in biodiversity across space and time, including trends in functional and phylogenetic diversity. Biases in currently available trait data also limit our ability to identify drivers and processes of extinction. Here we present AVOTREX, an open-access database of species traits for all birds known to have gone extinct in the last 130,000 years. This database provides detailed morphological information for 610 extinct species, along with a pipeline to build phylogenetic trees that include these extinct species.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Types of Variables Contained</h3>\u0000 \u0000 <p>For each extinct bird species, we provide information on the taxonomy, geographic location, and period of extinction. We also present data on island endemicity, flight ability, and body mass, as well as standard measurements of external (matching the AVONET database of extant birds) and skeletal morphology from museum specimens where available. To ensure comprehensive morphological data coverage, we estimate all missing morphological measurements using a data imputation technique based on machine learning. Finally, we provide an R package to graft all extinct species onto a global phylogeny of extant species (BirdTree).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Spatial Location and Grain</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period and Grain</h3>\u0000 \u0000 <p>All known globally extinct bird species from 130,000 years ago up until 2024.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa and Level of Measurement</h3>\u0000 \u0000 <p>Birds (Class Aves), species level.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Software Format</h3>\u0000 \u0000 <p>Spreadsheets (.csv) stored in Dryad.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Minghua Shen, Roel van Klink, Alban Sagouis, Danielle K. Petsch, Deborah Atieno Abong'o, Janne Alahuhta, Salman Abdo Al-Shami, Laura Cecilia Armendáriz, Mi-Jung Bae, Tiago Octavio Begot, Jerome Belliard, Jonathan Peter Benstead, Francieli F. Bomfim, Emile Bredenhand, William R. Budnick, Marcos Callisto, Lenize Batista Calvão, Claudia Patricia Camacho-Rozo, Miguel Cañedo-Argüelles, Fernando Geraldo Carvalho, Jacqueline Chapman, Lauren Chapman, Qiuwen Chen, Barry Chernoff, Luciana Cibils-Martina, Gerard Patrick Closs, Juliano J. Corbi, Erlane José Cunha, Almir Manoel Cunico, Patricio De los Rios-Escalante, Sylvain Dolédec, Barbara Dunck, Augustine Ovie Edegbene, Augustin C. Engman, Tibor Erős, Katharina Eichbaum Esteves, Ruan Carlos Pires Faquim, Ana Paula Justino Faria, Claudia Maris Ferreira, Márcio Cunha Ferreira, Pablo Fierro, Pâmela V. Freitas, Vincent Fugère, Thiago Deruza Garcia, Xingli Giam, Gabriel Murilo Ribeiro Gonino, Juan David González-Trujillo, Éder André Gubiani, Neusa Hamada, Roger John Haro, Luiz Ubiratan Hepp, Guido A. Herrera-R, Matthew J. Hill, A. Nurul Huda, Carlos Iniguez-Armijos, Aurélien Jamoneau, Micael Jonsson, Leandro Juen, Wilbert T. Kadye, Kahirun Kahirun, Aventino Kasangaki, Chad A. Larson, Alexandre Leandro Pereira, Thibault Leboucher, Gustavo Figueiredo Marques Leite, Dunhai Li, Ana Luiza-Andrade, Sarah H. Luke, Matthew Joseph Lundquist, Daniela Lupi, Jorge Machuca-Sepúlveda, Messias Alfredo Macuiane, Nestor Javier Mancera-Rodriguez, Javier A. Márquez, Renato Tavares Martins, Frank O. Masese, Marcia S. Meixler, Thaisa Sala Michelan, María José Monge-Salazar, Joseph L. Mruzek, Hernan Diego Mugni, Hilton Garikai Taambuka Ndagurwa, Augustine Niba, Jorge Nimptsch, Rodolfo Novelo-Gutiérrez, Hannington Ochieng, Rodrigo Pacheco-Díaz, Young-Seuk Park, Sophia I. Passy, Richard G. Pearson, Alexandre Peressin, Eduardo Périco, Mateus Marques Pires, Helen Poulos, Romina E. Principe, Bruno S. Prudente, Blanca Ríos-Touma, Renata Ruaro, Juan J. Schmitter-Soto, Fabiana Schneck, Uwe Horst Schulz, Chellappa Selvakumar, Chhatra Mani Sharma, Tadeu Siqueira, Marina Laura Solis, Raniere Garcez Costa Sousa, Emily H. Stanley, Csilla Stenger-Kovács, Evelyne Tales, Fabrício Barreto Teresa, Ian Thornhill, Juliette Tison-Rosebery, Thiago Bernardi Vieira, Sebastián Villada-Bedoya, James C. White, Paul J. Wood, Zhicai Xie, Catherine M. Yule, João Antonio Cyrino Zequi, Jonathan M. Chase
Motivation
Freshwater ecosystems have been heavily impacted by land-use changes, but data syntheses on these impacts are still limited. Here, we compiled a global database encompassing 241 studies with species abundance data (from multiple biological groups and geographic locations) across sites with different land-use categories. This compilation will be useful for addressing questions regarding land-use change and its impact on freshwater biodiversity.
Main Types of Variables Contained
The database includes metadata of each study, sites location, sample methods, sample time, land-use category and abundance of each taxon.
Spatial Location and Grain
The database contains data from across the globe, with 85% of the sites having well-defined geographical coordinates.
Major Taxa and Level of Measurement
The database covers all major freshwater biological groups including algae, macrophytes, zooplankton, macroinvertebrates, fish and amphibians.
{"title":"FreshLanDiv: A Global Database of Freshwater Biodiversity Across Different Land Uses","authors":"Minghua Shen, Roel van Klink, Alban Sagouis, Danielle K. Petsch, Deborah Atieno Abong'o, Janne Alahuhta, Salman Abdo Al-Shami, Laura Cecilia Armendáriz, Mi-Jung Bae, Tiago Octavio Begot, Jerome Belliard, Jonathan Peter Benstead, Francieli F. Bomfim, Emile Bredenhand, William R. Budnick, Marcos Callisto, Lenize Batista Calvão, Claudia Patricia Camacho-Rozo, Miguel Cañedo-Argüelles, Fernando Geraldo Carvalho, Jacqueline Chapman, Lauren Chapman, Qiuwen Chen, Barry Chernoff, Luciana Cibils-Martina, Gerard Patrick Closs, Juliano J. Corbi, Erlane José Cunha, Almir Manoel Cunico, Patricio De los Rios-Escalante, Sylvain Dolédec, Barbara Dunck, Augustine Ovie Edegbene, Augustin C. Engman, Tibor Erős, Katharina Eichbaum Esteves, Ruan Carlos Pires Faquim, Ana Paula Justino Faria, Claudia Maris Ferreira, Márcio Cunha Ferreira, Pablo Fierro, Pâmela V. Freitas, Vincent Fugère, Thiago Deruza Garcia, Xingli Giam, Gabriel Murilo Ribeiro Gonino, Juan David González-Trujillo, Éder André Gubiani, Neusa Hamada, Roger John Haro, Luiz Ubiratan Hepp, Guido A. Herrera-R, Matthew J. Hill, A. Nurul Huda, Carlos Iniguez-Armijos, Aurélien Jamoneau, Micael Jonsson, Leandro Juen, Wilbert T. Kadye, Kahirun Kahirun, Aventino Kasangaki, Chad A. Larson, Alexandre Leandro Pereira, Thibault Leboucher, Gustavo Figueiredo Marques Leite, Dunhai Li, Ana Luiza-Andrade, Sarah H. Luke, Matthew Joseph Lundquist, Daniela Lupi, Jorge Machuca-Sepúlveda, Messias Alfredo Macuiane, Nestor Javier Mancera-Rodriguez, Javier A. Márquez, Renato Tavares Martins, Frank O. Masese, Marcia S. Meixler, Thaisa Sala Michelan, María José Monge-Salazar, Joseph L. Mruzek, Hernan Diego Mugni, Hilton Garikai Taambuka Ndagurwa, Augustine Niba, Jorge Nimptsch, Rodolfo Novelo-Gutiérrez, Hannington Ochieng, Rodrigo Pacheco-Díaz, Young-Seuk Park, Sophia I. Passy, Richard G. Pearson, Alexandre Peressin, Eduardo Périco, Mateus Marques Pires, Helen Poulos, Romina E. Principe, Bruno S. Prudente, Blanca Ríos-Touma, Renata Ruaro, Juan J. Schmitter-Soto, Fabiana Schneck, Uwe Horst Schulz, Chellappa Selvakumar, Chhatra Mani Sharma, Tadeu Siqueira, Marina Laura Solis, Raniere Garcez Costa Sousa, Emily H. Stanley, Csilla Stenger-Kovács, Evelyne Tales, Fabrício Barreto Teresa, Ian Thornhill, Juliette Tison-Rosebery, Thiago Bernardi Vieira, Sebastián Villada-Bedoya, James C. White, Paul J. Wood, Zhicai Xie, Catherine M. Yule, João Antonio Cyrino Zequi, Jonathan M. Chase","doi":"10.1111/geb.13917","DOIUrl":"10.1111/geb.13917","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Motivation</h3>\u0000 \u0000 <p>Freshwater ecosystems have been heavily impacted by land-use changes, but data syntheses on these impacts are still limited. Here, we compiled a global database encompassing 241 studies with species abundance data (from multiple biological groups and geographic locations) across sites with different land-use categories. This compilation will be useful for addressing questions regarding land-use change and its impact on freshwater biodiversity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Types of Variables Contained</h3>\u0000 \u0000 <p>The database includes metadata of each study, sites location, sample methods, sample time, land-use category and abundance of each taxon.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Spatial Location and Grain</h3>\u0000 \u0000 <p>The database contains data from across the globe, with 85% of the sites having well-defined geographical coordinates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa and Level of Measurement</h3>\u0000 \u0000 <p>The database covers all major freshwater biological groups including algae, macrophytes, zooplankton, macroinvertebrates, fish and amphibians.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13917","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Santini, V. Y. Mendez Angarita, C. Karoulis, D. Fundarò, N. Pranzini, C. Vivaldi, T. Zhang, A. Zampetti, S. J. Gargano, D. Mirante, L. Paltrinieri
Motivation
Population density is a fundamental parameter in ecology and conservation, and taxonomic and geographic patterns of population density have been an important focus of macroecological research. However, population density data are time-consuming and costly to collect, so their availability is limited. Leveraging decades of research, TetraDENSITY 1.0 was developed as a global repository containing over 18,000 population density estimates for > 2100 terrestrial vertebrate species, aiding researchers in investigating patterns of population density, its intrinsic and extrinsic drivers, and for developing predictive models. Here we present a substantially expanded version of the database, which now includes marine tetrapods and encompasses over 54,300 estimates for 3717 species associated with error estimates and geographical coordinates when available, hence enabling meta-analytical approaches and better spatial matching of estimates with environmental conditions.
Main Types of Variables Contained
Population density estimates and associated errors, time and location of data collection, taxonomic information, estimation method.
Spatial Location
Global.
Time Period and Grain
1925–2024.
Major Taxa and Level of Measurement
Amphibia, Reptilia, Aves and Mammalia. Estimates reported at the population level.
{"title":"TetraDENSITY 2.0—A Database of Population Density Estimates in Tetrapods","authors":"L. Santini, V. Y. Mendez Angarita, C. Karoulis, D. Fundarò, N. Pranzini, C. Vivaldi, T. Zhang, A. Zampetti, S. J. Gargano, D. Mirante, L. Paltrinieri","doi":"10.1111/geb.13929","DOIUrl":"10.1111/geb.13929","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Motivation</h3>\u0000 \u0000 <p>Population density is a fundamental parameter in ecology and conservation, and taxonomic and geographic patterns of population density have been an important focus of macroecological research. However, population density data are time-consuming and costly to collect, so their availability is limited. Leveraging decades of research, TetraDENSITY 1.0 was developed as a global repository containing over 18,000 population density estimates for > 2100 terrestrial vertebrate species, aiding researchers in investigating patterns of population density, its intrinsic and extrinsic drivers, and for developing predictive models. Here we present a substantially expanded version of the database, which now includes marine tetrapods and encompasses over 54,300 estimates for 3717 species associated with error estimates and geographical coordinates when available, hence enabling meta-analytical approaches and better spatial matching of estimates with environmental conditions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Types of Variables Contained</h3>\u0000 \u0000 <p>Population density estimates and associated errors, time and location of data collection, taxonomic information, estimation method.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Spatial Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period and Grain</h3>\u0000 \u0000 <p>1925–2024.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa and Level of Measurement</h3>\u0000 \u0000 <p>Amphibia, Reptilia, Aves and Mammalia. Estimates reported at the population level.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Software Format</h3>\u0000 \u0000 <p>.csv.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13929","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142487727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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