Patterns in the chaos: Scale and the spatiotemporal dynamics of coral reef fish assemblages on the Great Barrier Reef DOI Creative Commons
Daniela M. Ceccarelli,

Michael J. Emslie,

Murray Logan

и другие.

Ecosphere, Год журнала: 2025, Номер 16(5)

Опубликована: Май 1, 2025

Abstract In the Anthropocene, understanding and managing ecological communities requires characterization of natural spatiotemporal ecosystem dynamics. Complex ecosystems may appear chaotic unstructured, making long‐term monitoring programs with hierarchical sampling designs ideal for investigating patterns at multiple scales. Here, we use a dataset spanning entire Great Barrier Reef (GBR) decades to determine spatial distribution abundance, how these change through time, in 233 reef‐associated fish species. Community composition was strongly structured by position across continental shelf, distinct inner outer shelf assemblages. Latitudinal differences were smaller, except distinctive assemblages southernmost Swain Capricorn‐Bunker regions. GBR‐wide summaries total density species richness did not show directional shifts, it only after analyzing metrics subregional scale that wider range temporal oscillations identified, indicating responses perturbations require examination smaller than GBR Within most subregions (65%), has undergone clear ongoing shift away from community identified 1990s. These changes generally due reduction numbers coral‐dependent an increased dominance grazers generalists. Among species, there have been more “winners” “losers” whole GBR, but this masks tendency reefs central over time. on are dynamic recovery potential disturbance events. Despite some pervasive community‐level shifts last decades, biogeographic characteristics each subregion remain intact. We pose question whether is reasonable expect highly reach relatively stable “climax community,” posit answer scale‐dependent and, currently resolved scale, which stakeholders decision‐makers operate.

Язык: Английский

Understanding ‘it depends’ in ecology: a guide to hypothesising, visualising and interpreting statistical interactions DOI Creative Commons
Rebecca Spake, Diana E. Bowler, Corey T. Callaghan

и другие.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Год журнала: 2023, Номер 98(4), С. 983 - 1002

Опубликована: Март 1, 2023

ABSTRACT Ecologists routinely use statistical models to detect and explain interactions among ecological drivers, with a goal evaluate whether an effect of interest changes in sign or magnitude different contexts. Two fundamental properties are often overlooked during the process hypothesising, visualising interpreting between drivers: measurement scale – response is analysed on additive multiplicative scale, such as ratio logarithmic scale; symmetry dependencies considered both directions. Overlooking these can lead one more three inferential errors: misinterpretation ( i ) detection (Type‐D error), ii modification (Type‐S error); iii misidentification underlying processes (Type‐A error). We illustrate each errors broad range questions applied empirical simulated data sets. demonstrate how meta‐analysis, widely used approach that seeks explicitly characterise context dependence, especially prone all errors. Based insights, we propose guidelines improve hypothesis generation, testing, visualisation interpretation ecology.

Язык: Английский

Процитировано

53
Crop monitoring using remote sensing land use and land change data: Comparative analysis of deep learning methods using pre-trained CNN models DOI
Min Peng, Yunxiang Liu, Asad Khan

и другие.

Big Data Research, Год журнала: 2024, Номер 36, С. 100448 - 100448

Опубликована: Март 20, 2024

Язык: Английский

Процитировано

30
Clustered warming tolerances and the nonlinear risks of biodiversity loss on a warming planet DOI Creative Commons
Joseph R. Williamson, Muyang Lu, M. Florencia Camus

и другие.

Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2025, Номер 380(1917)

Опубликована: Янв. 9, 2025

Anthropogenic climate change is projected to become a major driver of biodiversity loss, destabilizing the ecosystems on which human society depends. As planet rapidly warms, disruption ecological interactions among populations, species and their environment, will likely drive positive feedback loops, accelerating pace magnitude losses. We propose that, even without invoking such amplifying feedback, loss should increase nonlinearly with warming because non-uniform distribution biodiversity. Whether these non-uniformities are uneven populations across species’ thermal niche, or niche limits within an community, we show that in both cases, resulting clustering population tolerances drives nonlinear increases risk discuss how fundamental constraints physiologies geographical distributions give rise clustered tolerances, responses changing climates could variously temper, delay intensify dynamics. argue risks be null expectation under warming, highlight empirical research needed understand causes, commonness consequences better predict where, when why losses occur. This article part discussion meeting issue ‘Bending curve towards nature recovery: building Georgina Mace’s legacy for biodiverse future’.

Язык: Английский

Процитировано

3
Dwarfism and gigantism drive human-mediated extinctions on islands DOI
Roberto Rozzi, Mark V. Lomolino, Alexandra van der Geer

и другие.

Science, Год журнала: 2023, Номер 379(6636), С. 1054 - 1059

Опубликована: Март 10, 2023

Islands have long been recognized as distinctive evolutionary arenas leading to morphologically divergent species, such dwarfs and giants. We assessed how body size evolution in island mammals may exacerbated their vulnerability, well human arrival has contributed past ongoing extinctions, by integrating data on 1231 extant 350 extinct species from islands paleo worldwide spanning the 23 million years. found that likelihood of extinction endangerment are highest most extreme Extinction risk insular was compounded modern humans, which accelerated rates more than 10-fold, resulting an almost complete demise these iconic marvels evolution.

Язык: Английский

Процитировано

33
Innovations in science, technology, engineering, and policy (iSTEP) for addressing environmental issues towards sustainable development DOI
Lei Luo, Junze Zhang, Haijun Wang

и другие.

The Innovation Geoscience, Год журнала: 2024, Номер 2(3), С. 100087 - 100087

Опубликована: Янв. 1, 2024

<sec></sec><sec><p> Sustainable development depends on the integration of economy, society, and environment. Yet, escalating environmental challenges pose threats to both society economy. Despite progress in addressing issues promote sustainability, knowledge gaps scientific research, technological advancement, engineering practice, policy persist. In this review, we aim narrow these by proposing innovation-based solutions refining existing paradigms. Reviewing past research actions, first elucidate evolution sustainability science essence sustainable its assessment. Secondly, summarize current major issues, including global warming climate change, biodiversity loss, land degradation desertification, pollution, as well their relationships with achievement Development Goals (SDGs). Subsequently, review critically evaluates role innovations science, technology, engineering, (iSTEP) synergies advancing SDGs. While sequential may vary based specific contexts or scenarios within iSTEP framework, each component reinforces others, fostering continuous improvement. Finally, offers recommendations future perspectives for formulating roadmaps. Recommendations include a vision promoting interdisciplinary collaboration, encouraging transboundary cooperation among stakeholders endeavors.</p></sec>

Язык: Английский

Процитировано

12
Ecological thresholds and transformations due to climate change: The role of abiotic stress DOI Creative Commons
Michael J. Osland, John B. Bradford, Lauren T. Toth

и другие.

Ecosphere, Год журнала: 2025, Номер 16(4)

Опубликована: Апрель 1, 2025

Abstract An ecological threshold is the point at which a comparatively small environmental change triggers an abrupt and disproportionately large response. In face of accelerating climate change, there concern that ecosystem transformations will become more widespread as critical thresholds are crossed. There has been ongoing debate, however, regarding prevalence across natural world. While ubiquitous in some ecosystems, have difficult to detect others. Some studies even concluded responses uncommon world overly emphasized literature. As ecologists who work ecosystems chronically exposed high abiotic stress, we consider be concepts can greatly advance understanding inform management. But quantifying challenging, if not impossible, without data strategically collected for purpose. Here, present conceptual framework built upon linkages between climate‐driven responses, risk transformation. We also simple approach stress gradients. hypothesize especially influential where autotroph diversity low foundation species play prominent role. Abiotic conditions these environments often near physiological tolerance limits species, means changes trigger landscape‐level transformations. Conversely, alleviation allow thrive spread into previously inhospitable locations. provide examples this behavior from four high‐stress environments: coastal wetlands, coral reefs, drylands, alpine ecosystems. Our overarching aim review clarify strong relationships thresholds, transformation under change.

Язык: Английский

Процитировано

1
Disturbance theory for ecosystem ecologists: A primer DOI Creative Commons
Christopher M. Gough, Brian Buma, Anke Jentsch

и другие.

Ecology and Evolution, Год журнала: 2024, Номер 14(6)

Опубликована: Май 30, 2024

Abstract Understanding what regulates ecosystem functional responses to disturbance is essential in this era of global change. However, many pioneering and still influential disturbance‐related theorie proposed by ecologists were developed prior rapid change, before tools metrics available test them. In light new knowledge conceptual advances across biological disciplines, we present four ecology concepts that are particularly relevant the field: (a) directionality response disturbance; (b) thresholds; (c) disturbance–succession interactions; (d) diversity‐functional stability relationships. We discuss how knowledge, theory, terminology several when integrated, can enhance analyze interpret disturbance. For example, interpreting thresholds interactions, should consider concurrent biotic regime non‐linearity, multiple pathways, typically theoretical analytical domain population community ecologists. Similarly, interpretation requires approaches recognize promote, inhibit, or fundamentally change functions. suggest truly integrative advancing

Язык: Английский

Процитировано

6
A multiscale perspective on how much wetland restoration is needed to achieve targets for ecosystem services DOI
Stephanie A. Tomscha, Bethanna Jackson, Rubianca Benavidez

и другие.

Ecosystem Services, Год журнала: 2023, Номер 61, С. 101527 - 101527

Опубликована: Апрель 20, 2023

Язык: Английский

Процитировано

10
A systematic approach for detecting abrupt shifts in ecological timeseries DOI
Mathieu Pélissié,

Vincent Devictor,

Vasilis Dakos

и другие.

Biological Conservation, Год журнала: 2024, Номер 290, С. 110429 - 110429

Опубликована: Янв. 18, 2024

Язык: Английский

Процитировано

4
Structural heterogeneity predicts ecological resistance and resilience to wildfire in arid shrublands DOI Creative Commons
Andrii Zaiats, Megan E. Cattau, David S. Pilliod

и другие.

Landscape Ecology, Год журнала: 2024, Номер 39(6)

Опубликована: Май 24, 2024

Abstract Context Dynamic feedbacks between physical structure and ecological function drive ecosystem productivity, resilience, biodiversity maintenance. Detailed maps of canopy enable comprehensive evaluations structure–function relationships. However, these relationships are scale-dependent, identifying relevant spatial scales to link remains challenging. Objectives We identified optimal relate heterogeneity resistance, measured as the impacts wildfire on structure, native shrub recruitment. further investigated whether structural can aid predictions Methods Using high-resolution imagery from unoccupied aerial systems (UAS), we mapped across ten semi-arid landscapes, undergoing a disturbance-mediated regime shift shrubland dominance by invasive annual grasses. then applied wavelet analysis decompose into discrete related metrics resilience resistance. Results found strong indicators scale dependence in tested Wildfire effects were most prominent at single (2.34 m), while abundance recruits was sensitive range scales, 0.07 – 2.34 m. Structural enabled out-of-site recruitment (R 2 = 0.55). The best-performing predictive model included multiple scales. Conclusions Our results demonstrate that requires analyses explicitly account for scale. As enables spatially extensive heterogeneity, models will our understanding mechanisms imperiled arid ecosystems.

Язык: Английский

Процитировано

4