Boosting biodiversity monitoring using smartphone-driven, rapidly accumulating community-sourced data DOI Creative Commons
Keisuke Atsumi, Yuusuke Nishida, Masayuki Ushio

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Сен. 17, 2023

Abstract Comprehensive biodiversity data is crucial for ecosystem protection. The ‘ Biome ’ mobile app, launched in Japan, efficiently gathers species observations from the public using identification algorithms and gamification elements. app has amassed >6M since 2019. Nonetheless, community-sourced may exhibit spatial taxonomic biases. Species distribution models (SDMs) estimate while accommodating such bias. Here, we investigated quality of its impact on SDM performance. accuracy exceeds 95% birds, reptiles, mammals, amphibians, but seed plants, mollusks, fishes scored below 90%. Our SDMs 132 terrestrial plants animals across Japan revealed that incorporating into traditional survey improved accuracy. For endangered species, required >2,000 records accurate (Boyce index ≥ 0.9), blending two sources reduced this to around 300. uniform coverage urban-natural gradients by data, compared biased towards natural areas, explain improvement. Combining multiple better estimates distributions, aiding protected area designation service assessment. Establishing a platform accumulating will contribute conserving monitoring ecosystems.

Язык: Английский

Understanding sustainability of woody species suitability zones on the Loess Plateau for optimal creation zone selection in response to future climate change DOI

Haihong Qiu,

Hairong Han, Xiaoqin Cheng

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 375, С. 124239 - 124239

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

1
Wide climatic niche breadth and traits associated with climatic tolerance facilitate eucalypt occurrence in cities worldwide DOI Creative Commons
Manuel Esperón‐Rodríguez, Mark G. Tjoelker, Jonathan Lenoir

и другие.

Global Ecology and Biogeography, Год журнала: 2024, Номер 33(6)

Опубликована: Март 23, 2024

Abstract Aim Eucalypts are important and popular urban tree species across cities worldwide. However, little is known about how their climatic niche breadth (CNB) functional traits predict success, vulnerability, to current climate change in cities. We assessed the relationship between CNB of eucalypts key understand tolerance change. Location Global areas, 66 21 countries. Time period 1981 2022. Major studied Fifty ‘eucalypt’ belonging genera Eucalyptus , Angophora Corymbia . Methods used species' safety margin concept determine where were planted outside limits CNB, as defined from native range, considering two extreme variables, maximum temperature warmest month (MTWM) precipitation driest (PDM). correlations (leaf δ 13 C, leaf dry mass, length, N per wood density) negative margins, indicative non‐native conditions. Results In total, 42 40 exceeded margins for MTWM, while 43 38 PDM. Within 24 cities, all both MTWM The Atakpame (Togo), Chennai (India), Chongqing (China) US Phoenix Riverside had highest richness eucalypt growing CNB. Broadly, with wide small leaves, high mass density more likely persist conditions Main conclusions occupy many experiencing Species characteristic heat drought often may exceed limits.

Язык: Английский

Процитировано

7
Accelerated succession in Himalayan alpine treelines under climatic warming DOI
Shalik Ram Sigdel, Xiangyu Zheng, Flurin Babst

и другие.

Nature Plants, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 18, 2024

Язык: Английский

Процитировано

6
Forestry trials and species adaptability to climate change DOI Open Access
Trevor H. Booth

Global Change Biology, Год журнала: 2024, Номер 30(3)

Опубликована: Март 1, 2024

Most climate change analyses of extinction risk rely on species' climatic requirements determined from only their natural distributions. Many tree species can grow successfully under conditions distinctly different those Gathering together results these introduction trials would help to assess the importance this adaptability for species. The Wiens and Zelinka (2024) review entitled 'How many will Earth lose change?' focusses distribution models (SDMs) contains much useful information. In introducing previous studies, they note that 'these projections were based SDM, which takes current where occur projects in future'. pioneering SDM studies Busby (1988) Booth McMurtrie both used BIOCLIM, first package (Booth et al., 2014). 1988 papers are still very relevant as one analysed distributions, while other introductions outside a distribution. This raised issue ex situ adaptability. Commercial forestry might assist assessing such impacts several plant animal Australia. He wrote 'the primary assumption BIOCLIM system is entities colonise survive areas with climates fitting present profile', his case was solely sentence an early version what now known 'species-environment equilibrium assumption' or simply 'equilibrium assumption'. Ironically, same volume provided evidence may be dubious at least some They Pinus radiata plantation sites endangered its about 5000 ha California two Mexican islands. Yet, it able environments fact, P. most widely grown world illustrating great (see Figure 1 Booth, 2023). Any analysis clearly little no value. desirability collating information part recognised days SDM. (1991) suggested five-stage SDM-based plan 'a global climatological audit forest resources conservation sustainable development'. Tremendous progress has been made four five envisaged, but almost (Booth, (2017) considered showed For example, Dyderski al. reviewed 125 published between 1998 2017. Only 18 gathered data continental broader spatial extents. typically use distributional Global Biodiversity Information Facility (GBIF, https://www.gbif.org). These predominantly though invasive occurrences also included cases. Kindt (2023) environmental 48,129 GBIF including standard set 19 variables obtained WorldClim databases (https://worldclim.org). noted 'what could important addition observation proposed trial database 2023)'. shown captured by because highly conclude 'analyses recent responses show fundamental niches do not over time, frequently violated'. common space should carefully examined. using provenances (i.e. genetic material specific location) into As 'species all tolerate' mention trials. have often involved unimproved locations remain largely untapped resource Trevor H. Booth: Conceptualization; investigation; project administration; resources; visualization; writing – original draft; editing. I am grateful providing permission 1. figure makes © OpenStreetMap contributors (https://www.openstreetmap.org/copyright) OpenMapFiles (https://openmapfiles.org). available Open Data Licence www.opendatacommons.org/licenses/odbl). No special funding provided. author declares conflict interest. sharing applicable article datasets generated during study.

Язык: Английский

Процитировано

5
Spatially‐nested hierarchical species distribution models to overcome niche truncation in national‐scale studies DOI Creative Commons
Teresa Goicolea, Antoine Adde, Olivier Broennimann

и другие.

Ecography, Год журнала: 2024, Номер unknown

Опубликована: Май 21, 2024

Spatial truncation in species distribution models (SDMs) might cause niche and model transferability issues, particularly when extrapolating to non‐analog environmental conditions. While broad calibration extents reduce they usually overlook local ecological factors driving distributions at finer resolution. Spatially‐nested hierarchical SDMs (HSDMs) address by merging (a) a global calibrated with broadly extended, yet typically low‐resolution, basic, imprecise data; (b) regional spatially restricted but more precise reliable data. This study aimed examine HSDMs' efficacy overcome spatial national‐scale studies. We compared two strategies (‘covariate', which uses the output as covariate for model, ‘multiply', calculates geometric mean of models) non‐hierarchical strategy. The three were terms truncation, extrapolation, performance, species' predicted shifts, trends richness. examined consistency results over areas (Spain Switzerland), 108 tree species, four future climate scenarios. Only strategy was susceptible extrapolation issues. Hierarchical strategies, ‘covariate' one, presented greater accuracy than strategies. highest overall values lowest decreases time ranges Differences between evident Switzerland, affected Spain negatively change extrapolation. exhibited higher performance ‘multiply' one. However, uncertainties regarding temporal advocate adopting further examining multiple approaches. research underscores importance spatially‐nested given compromised reliability approaches due

Язык: Английский

Процитировано

5
The Origins of Modern Species Distribution Modelling: Some Comments on the Vasconcelos et al. (2024) Review DOI Creative Commons
Trevor H. Booth

Earth, Год журнала: 2025, Номер 6(1), С. 12 - 12

Опубликована: Фев. 19, 2025

A recent review of species distribution modelling (SDM) published in Earth contains much useful information. However, the introductory paragraphs lack basic information about first SDM package called BIOCLIM, which became available January 1984. For example, BIOCLIM-related advances underpinned development most used variables and data. The climate change studies 1988 highlighted importance ex situ native This brief note highlights early work its continuing relevance.

Язык: Английский

Процитировано

0
Mapping climatically suitable areas for tree species across the globe: comparing TreeGOER-based maps with previous maps generated for nine selected eucalypt species DOI Creative Commons
Trevor H. Booth,

Tom Jovanovic

Australian Forestry, Год журнала: 2025, Номер unknown, С. 1 - 9

Опубликована: Март 19, 2025

Язык: Английский

Процитировано

0
Historical climate change drives species richness patterns of Pinus L. in China DOI

Junjie Yue,

Huayong Zhang, Lei Zhao

и другие.

Biodiversity and Conservation, Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Язык: Английский

Процитировано

0
Boosting biodiversity monitoring using smartphone-driven, rapidly accumulating community-sourced data DOI Creative Commons
Keisuke Atsumi, Yuusuke Nishida, Masayuki Ushio

и другие.

eLife, Год журнала: 2024, Номер 13

Опубликована: Март 26, 2024

Comprehensive biodiversity data is crucial for ecosystem protection. The Biome mobile app, launched in Japan, efficiently gathers species observations from the public using identification algorithms and gamification elements. app has amassed >6 million since 2019. Nonetheless, community-sourced may exhibit spatial taxonomic biases. Species distribution models (SDMs) estimate while accommodating such bias. Here, we investigated quality of its impact on SDM performance. accuracy exceeds 95% birds, reptiles, mammals, amphibians, but seed plants, molluscs, fishes scored below 90%. Our SDMs 132 terrestrial plants animals across Japan revealed that incorporating into traditional survey improved accuracy. For endangered species, required >2000 records accurate (Boyce index ≥ 0.9), blending two sources reduced this to around 300. uniform coverage urban-natural gradients by data, compared biased towards natural areas, explain improvement. Combining multiple better estimates distributions, aiding protected area designation service assessment. Establishing a platform accumulating will contribute conserving monitoring ecosystems.

Язык: Английский

Процитировано

3
Boosting biodiversity monitoring using smartphone-driven, rapidly accumulating community-sourced data DOI Creative Commons
Keisuke Atsumi, Yuusuke Nishida, Masayuki Ushio

и другие.

eLife, Год журнала: 2024, Номер 13

Опубликована: Июнь 20, 2024

Comprehensive biodiversity data is crucial for ecosystem protection. The Biome mobile app, launched in Japan, efficiently gathers species observations from the public using identification algorithms and gamification elements. app has amassed >6 million since 2019. Nonetheless, community-sourced may exhibit spatial taxonomic biases. Species distribution models (SDMs) estimate while accommodating such bias. Here, we investigated quality of its impact on SDM performance. accuracy exceeds 95% birds, reptiles, mammals, amphibians, but seed plants, molluscs, fishes scored below 90%. Our SDMs 132 terrestrial plants animals across Japan revealed that incorporating into traditional survey improved accuracy. For endangered species, required >2000 records accurate (Boyce index ≥ 0.9), blending two sources reduced this to around 300. uniform coverage urban-natural gradients by data, compared biased towards natural areas, explain improvement. Combining multiple better estimates distributions, aiding protected area designation service assessment. Establishing a platform accumulating will contribute conserving monitoring ecosystems.

Язык: Английский

Процитировано

2