Find research datasets worth reusing

opencc-zeroFeb 2020View details →

Data from: Insect herbivory in novel Quercus ilex L. forests: the role of landscape attributes, forest composition and host traits

Context Understanding the intrinsic and extrinsic drivers of herbivory in novel expanding forests is essential to envisage their role for biodiversity conservation. Aims: To analyze the effects of landscape attributes, forest composition, genetic relatedness, ontogeny and leaf traits on insect herbivory in novel Q. ilex forest stands. Methods: In 15 forest patches, we examined effects of patch size and connectivity, forest composition, and tree height, specific leaf area (SLA) and nitrogen content on herbivory. In 3 forest patches, we assessed effects of tree genetic relatedness, ontogeny and spatial distribution. Results: Herbivory was lower in pine-oak than in mixed-oak forests owing to the shorter tree height in the former with no effects of patch size or connectivity. Herbivory increased with SLA whereas nitrogen content had no effect. Within patches, herbivory differed among genetic clusters and was reduced in saplings growing near mature oaks and individuals near the forest edge. Conclusion We illustrate the strong context and scale dependence of tree-herbivore interactions that renders predictions for dynamic systems such as novel oak forests extremely challenging. It implies, however, that the structural heterogeneity of such unmanaged forests allows their function as stepping stones for insect herbivore diversity in fragmented landscapes.

opencc-zeroDec 2014View details →

Data from: Self-cannulation for haemodialysis: patient attributes, clinical correlates and self-cannulation predilection models

Background and objectives: With emerging evidence in support of home haemodialysis (HHD), patient factors which determine uptake of the modality need to be better understood. Self-cannulation (SC) is a major step towards enabling self-care 'in-centre' and home HD and remains the foremost barrier to its uptake. Human factors governing this aspect of HD practice are poorly understood. The aim of this study is to better understand self-cannulation preferences and factors which define them in end stage renal disease (ESRD). Design: In this multicentre study, 508 of 535 patients from predialysis (Group A: n=222), in-centre (Group B: n= 213), and home HD (Group C: n= 100) responded to a questionnaire with 3 self-cannulation questions. Simultaneously, data on clinical, cognitive and psychosocial variables were ascertained. The primary outcome measure was 'perceived ability to self-cannulate AV access'. Predictive models were developed using logistic regression analysis. Results: 36.6% of predialysis patients (A) and 29.1% of the 'in-centre' haemodialysis patients (B) felt able to consider SC for HD. Technical-skills related apprehension was highest in Group B (14.4%) patients. Response to routine venepuncture and the types of SC concerns were significant predictors of perceived ability to self-cannulate. There was no significant difference in concern for pain across the groups. In multivariable regression analysis, age, education level, 3MS score, hypoalbuminemia in Groups B & C and additionally, attitude to routine phlebotomy and the nature of specific concern for self-cannulation in Groups A, B and C, are significant predictors of SC preference. The unadjusted c-statistics of models 1 (derived from Group A and validated on A) and 2 (derived from B+C and validated on B), are 0.76(95% CI 0.69, 0.83) and 0.80 (95% CI 0.74, 0.87) respectively. Conclusions: There is high prevalence of perceived ability to self-cannulate. Modifiable SC concerns exist in ESRD. The use of predictive models to objectively define and target education and training strategies could potentially impact on HD self-management and future uptake of home HD.

opencc-zeroDec 2016View details →

Data from: Are landscape attributes a useful shortcut for classifying vegetation in the tropics? A case study of La Amistad International Park

Effective vegetation classification schemes identify the processes determining species assemblages and support the management of protected areas. They can also provide a framework for ecological research. In the tropics, elevation-based classifications dominate over alternatives such as river catchments. Given the existence of floristic data for many localities, we ask how useful floristic data are for developing classification schemes in species-rich tropical landscapes and whether floristic data provide support for classification by river catchment. We analyzed the distribution of vascular plant species within 141 plots across an elevation gradient of 130 to 3200 m asl within La Amistad National Park. We tested the hypothesis that river catchment, combined with elevation, explains much of the variation in species composition. We found that annual mean temperature, elevation, and river catchment variables best explained the variation within local species communities. However, only plots in high-elevation oak forest and Páramo were distinct from those in low- and mid-elevation zones. Beta diversity did not significantly differ in plots grouped by elevation zones, except for low-elevation forest, although it did differ between river catchments. None of the analyses identified discrete vegetation assemblages within mid-elevation (700–2600 m asl) plots. Our analysis supports the hypothesis that river catchment can be an alternative means for classifying tropical forest assemblages in conservation settings.

opencc-by-4.0Oct 2023View details →

The data of Emoji Use, Empathy, Attribution of Responsibility, and Forgiveness in Apologies

This is the data for paper: Can Emoji Promote Forgiveness? The Relationship between Emoji Use, Empathy, Attribution of Responsibility, and Forgiveness in Apologies. A total of 323 participants were recruited in that study, and a recall method (Study 1) and scenario simulation method (Study 2) were used to explore the effect of emoji use during apologies on forgiveness, and the mediating role of empathy and attribution of responsibility. The results showed that (a) people chose emoji that resembled real remorseful facial expressions when apologizing; (b) using emoji that expressed remorse when apologizing could promote forgiveness; and (c) empathy mediated the process of emoji promoting forgiveness, while attribution of responsibility did not play a mediating role.

opencc-by-4.0Aug 2024View details →

URA dataset - 40 Basque Country catchments hourly hydro-meteorological data + Catchments Attributes

Basque Country is located in north of Spain on the Atlantic coast. This region, characterized by its humid climatology, has abundant water resources. The catchments, noted for their flashy and humid characteristics, span an area of 4494 Km2 and include a diverse range of basin sizes from 4 to 1000 Km2. The Basque Water Agency (URA), a regional governmental entity in the Basque Country, is responsible for managing water policies and resources in this territory. To support water resources planning and management, URA has compiled a high-quality dataset suitable for data mining using deep learning models. This dataset includes hourly hydro-meteorological timeseries, reflecting the region’s steep, flashy, and humid hydrological dynamics. URA catchments are situated between the Cantabrian Mountains (reaching up to 1300 meters in elevation) in the northwest and the Atlantic Ocean to the north. The region is predominantly covered by grasslands and evergreen forests and benefits from the warming effects of the Gulf Stream. The climate is humid and temperate, with mean annual temperatures ranging from 9°C in the mountains to 15°C in lower regions. Annual rainfall varies between 1200 and 1600 millimeters, primarily due to the advection of North Atlantic fronts. URA has collected hourly hydro-meteorological timeseries from approximately 100 stations distributed across the region, including rain gauges and water level measurement sites. Accurate rainfall-runoff modeling is critical in this region due to its susceptibility to flash floods. This dataset presents 21 years of hourly timeseries from 40 catchments within the region. This extensive temporal coverage and high-resolution data offer valuable insights into the region’s hydrological dynamics. This Dataset is published with the papers: 1- Hosseini, F.; Prieto, C.; Álvarez, C. (2025). Ensemble learning of catchment-wise optimized LSTMs enhances regional rainfall-runoff modelling—Case Study: Basque Country, Spain. J. Hydrol. 132269. doi: <a href="https://doi.org/10.1016/j.jhydrol.2024.132269">10.1016/j.jhydrol.2024.132269</a> 2- Hosseini, F., Prieto, C., & Álvarez, C. (2024a). Hyperparameter optimization of regional hydrological LSTMs by random search: A case study from Basque Country, Spain. Journal of Hydrology, 132003. doi: <a href="https://doi.org/10.1016/j.jhydrol.2024.132003">10.1016/j.jhydrol.2024.132003</a>

opennotspecifiedNov 2017View details →

The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996). in Muridae

The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996).

opencdla-permissive-1.0Dec 2023View details →

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models

############# <h1>WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models</h1> ############# Authors: Valentin Gabeff, Marc Russwurm, Devis Tuia & Alexander Mathis Affiliation: EPFL Date: January, 2024 Link to the article: <a href="https://link.springer.com/article/10.1007/s11263-024-02026-6">https://link.springer.com/article/10.1007/s11263-024-02026-6</a> -------------------------------- WildCLIP is a fine-tuned CLIP model that allows to retrieve camera-trap events with natural language from the Snapshot Serengeti dataset. This project intends to demonstrate how vision-language models may assist the annotation process of camera-trap datasets. Here we provide the processed Snapshot Serengeti data used to train and evaluate WildCLIP, along with two versions of WildCLIP (model weights). Details on how to run these models can be found in the project <a href="https://github.com/amathislab/wildclip">github repository</a>. <h2>Provided data (images and attribute annotations): </h2> The data consists of 380 x 380 image crops corresponding to the MegaDetector output of Snapshot Serengeti with a confidence threshold above 0.7. We considered only camera trap images containing single individuals. A description of the original data can be found on LILA <a href="https://lila.science/datasets/snapshot-serengeti">here</a>, released under the <a href="https://cdla.dev/permissive-1-0/" rel="nofollow">Community Data License Agreement (permissive variant)</a>. We warmly thank the authors of LILA for making the MegaDetector outputs publicly available, as well as for structuring the dataset and facilitating its access. <h2>Adapted CLIP model (model weights): </h2> WildCLIP models provided: <ul> <li>[New] WildCLIP_vitb16_t1.pth: CLIP model with the ViT-B/16 visual backbone trained on data with captions following template 1. Trained on both base and novel vocabulary (see paper for details).</li> <li>[New] WildCLIP_vitb16_t1_lwf.pth: CLIP model with the ViT-B/16 visual backbone trained on data with captions following template 1, and with the additional VR-LwF loss. Trained on both base and novel vocabulary (see paper for details).</li> <li>WildCLIP_vitb16_t1_base.pth: CLIP model with the ViT-B/16 visual backbone trained on data with captions following template 1. Model used for evaluation and trained on base vocabulary only. (previously named WildCLIP_vitb16_t1.pth)</li> <li>WildCLIP_vitb16_t1t7_lwf_base.pth: CLIP model with the ViT-B/16 visual backbone trained on data with captions following templates 1 to 7, and with the additional VR-LwF loss. Model used for evaluation and trained on base vocabulary only. (previously named WildCLIP_vitb16_t1t7_lwf.pth)</li> </ul> We also provide the CSV files containing the train / val / test splits. The train / test splits follow camera split from LILA (https://lila.science/datasets/snapshot-serengeti). The validation split is custom, and also at the camera level. <ul> <li>train_dataset_crops_single_animal_template_captions_T1T7_ID.csv: Train set with captions from templates 1 through 7 (column "all captions") or template 1 only (column "template 1")</li> <li>val_dataset_crops_single_animal_template_captions_T1T7_ID.csv: Validation set with captions from templates 1 through 7 (column "all captions") or template 1 only (column "template 1")</li> <li>test_dataset_crops_single_animal_template_captions_T1T8T10.csv: Test set with captions from templates 1, 8, 9 and 10 (columns "all captions")</li> </ul> Details on how the models were trained can be found in the associated <a href="https://link.springer.com/article/10.1007/s11263-024-02026-6" target="_blank" rel="noopener">publication</a>. <h2>References: </h2> If you find our code, or weights, please cite: <pre>@article{gabeff2024wildclip, title={WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models}, author={Gabeff, Valentin and Ru{\ss}wurm, Marc and Tuia, Devis and Mathis, Alexander}, journal={International Journal of Computer Vision}, pages={1--17}, year={2024}, publisher={Springer} }</pre> If you use the adapted Snapshot Serengeti data please also cite their article: <pre>@article{swanson2015snapshot, title={Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna}, author={Swanson, Alexandra and Kosmala, Margaret and Lintott, Chris and Simpson, Robert and Smith, Arfon and Packer, Craig}, journal={Scientific data}, volume={2}, number={1}, pages={1--14}, year={2015}, publisher={Nature Publishing Group} }</pre>

opencc-by-4.0Jul 2024View details →

Data from: Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944

Paper Abstract: Urban expansion, especially suburbanization, represents a major social, economic and environmental shift that has escalated since the mid-1900s in North America. Suburban development leads to corresponding changes in the treed environment of urban-rural fringes. It is important to understand where, when and why trees change in response to development over many decades, but this is difficult since long-term data are scarce. We used 70+ years (1944–2017) of leaf-off aerial photographs, often representing the only long-term landscape record, to quantify and map spatio-temporal changes in tree density through the entirety of the agricultural-suburban transitional period. Photo-interpretation of individual tree locations, along with recording observable drivers of change, was completed across six different modern landscapes in Mississauga, Ontario, Canada. Results indicate that tree density often recovers, or even increases, post-development. There are differences between landscapes, but most tree density gains are associated with forest expansion and tree planting, while most losses are associated with building and road construction. The influence of these drivers, along with the temporal trajectory of tree density changes, are shaped by a landscape’s socioecological legacy and the length, scope and intensity of development (as decided by decision makers). Processes include initial tree losses followed by recovery from tree planting, and forest succession in abandoned fields after land purchase and nearby development. We assert that the spatio-temporal changes in tree density and related drivers quantified here can be generalized to gain knowledge on how tree density and distribution across agricultural landscapes will change under different development scenarios.   Data details: See paper: <a href="https://www.sciencedirect.com/science/article/pii/S0169204619301914?via%3Dihub">Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944 - ScienceDirect</a> See code on GitHub: <a href="https://github.com/ZZMitch/SuburbanizingTreeDensity_1944to2017">ZZMitch/SuburbanizingTreeDensity_1944to2017: Code from "Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944" (L&UP, 2019) (github.com)</a> - Note: High resolution imagery is not included in this repository.    If you use these data, please reference:  Bonney, M.T., He, Y., 2019. Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944. Landscape and Urban Planning 192, https://doi.org/10.1016/j.landurbplan.2019.103652.

FIGURE 5 in New data on the cockroaches previously attributed to the genus Duchailluia Rehn, 1933 (Dictyoptera: Blattidae: Blattinae)

FIGURE 5. Distylopyga beccalonii Anisyutkin, sp. nov., male genitalia, holotype. A–C—right phallomere from above (A), below (B) and outside (C); D, E—ventral phallomere from below (D) and side (E). Dotted areas shows membranous parts. Abbreviations: a.p., a.t., R1G, R1Hi., R1Hout., R2, R3—see text. Scale bar 1 mm.

FIGURE 1 in New data on the cockroaches previously attributed to the genus Duchailluia Rehn, 1933 (Dictyoptera: Blattidae: Blattinae)

FIGURE 1. Duchailluia ivindo Anisyutkin, sp. nov., male, holotype. A—facial part of head; B—head, thorax and first abdominal tergite from above; C—abdomen (with exception of first abdominal tergite) from above; D—left hind tarsus from outside; E—1st–4th segments of left hind tarsus from below; F—arolium and claws of left hind tarsus; G—abdominal apex from above; H—abdominal apex from below, hypandrium and genitalia removed; I—hypandrium from below; J—caudal margin of hypandrium from above; K—left stylus from outside. Dotted areas shows membranous parts. Dotted line in Fig. 1A delimits areas of ocellar spots. Abbreviations: I–VII—1st–7th abdominal tergites respectively, a.s., par., s.lobe.—see text. Scale bar 1 mm: a = A; b = B, C; c = D; d = E; e = F; f = G; g = H; h = I; i = J, K.

FIGURE 7 in New data on the cockroaches previously attributed to the genus Duchailluia Rehn, 1933 (Dictyoptera: Blattidae: Blattinae)

FIGURE 7. Neostylopyga yemenica (Bey-Bienko, 1969), male genitalia, holotype. A–C—right phallomere from above (A), below (B) and outside (C); D, E—ventral phallomere from below (D) and side (E). Dotted areas shows membranous parts. Abbreviations: a.t., c.out., R1G, R1H, R2, R3—see text. Scale bar 1 mm: a = A–C; b = D, E.

FIGURE 4 in New data on the cockroaches previously attributed to the genus Duchailluia Rehn, 1933 (Dictyoptera: Blattidae: Blattinae)

FIGURE 4. Distylopyga beccalonii Anisyutkin, sp. nov., male, holotype (A–K) and female, paratype (L–N). A, L—facial part of head; B—head, thorax and six abdominal tergites from above; C—left tegmen from side; D—left hind tarsus from outside; E—1st–4th segments of left hind tarsus from below; F—arolium and claws of left hind tarsus; G—abdominal apex from above, only bases of cerci are shown; H—right cercus from inside; I—hypandrium from below; J, K—caudal margin of hypandrium from above (J) and caudal (K); M—general view from above; N—genital plate from below. Dotted areas shows membranous parts. Dotted line in Fig. 4A, L delimits areas of ocellar spots. Abbreviations: I–X—1st–10th abdominal tergites respectively, a.s., par., pv.– see text. Scale bar 1 mm: a = A, L; b = B; c = C; d = D; e = E; f = F; g = G, H; i = J, K; j = M; k = N.

FIGURE 6 in New data on the cockroaches previously attributed to the genus Duchailluia Rehn, 1933 (Dictyoptera: Blattidae: Blattinae)

FIGURE 6. Neostylopyga yemenica (Bey-Bienko, 1969), male, holotype. A—facial part of head; B—head, thorax and 1–6th abdominal tergites from above; C—7th abdominal tergite from above; D—abdominal apex from above, cerci broken off; Ehypandrium from below, styli broken off. Dotted areas shows membranous parts. Abbreviations: I–VIII, X—1st–10th abdominal tergites respectively—see text. Scale bar 1 mm: a = A; b = B; c = C, D; d = E.

opencc-by-4.0Aug 2024View details →

Data from larval habitat occupancy and habitat attribute surveys.

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →

Proposal of Attributes for the Data Model of a European Digital Building Renovation Logbook

This document serves as supplementary material to the paper "Envisaging a European Digital Building Renovation Logbook: Proposal of a Data Model", by Marta Gómez-Gil, Sara Karami, José-Paulo de Almeida, Alberto Cardoso, Almudena Espinosa-Fernández and Belinda López-Mesa. Its purpose is to complement and expand upon the methodology outlined in the paper, with a specific focus on the identification of attributes for the development of a data model for the European Digital Building Logbook, focused on renovation.

opencc-zeroDec 2011View details →

Data from: The pitcher plant flesh fly exhibits a mixture of patchy and metapopulation attributes

We investigated the pattern of spatial genetic structure and the extent of gene flow in the pitcher plant flesh fly Fletcherimyia fletcheri, the largest member of the inquiline community of the purple pitcher plant Sarracenia purpurea. Using microsatellite loci, we tested the theoretical predictions of different hypothesized population models (patchy population, metapopulation or isolated populations) among 11 bogs in Algonquin Provincial Park (Canada). Our results revealed that the pitcher plant flesh fly exhibits a mixture of patchy and metapopulation characteristics. There is significant differentiation among bogs and limited gene flow at larger spatial scales, but local populations do not experience frequent local extinctions/recolonizations. Our findings suggest a strong dispersal ability and stable population sizes in F. fletcheri, providing novel insights into the ecology of this member of a unique ecological microcosm.

opencc-zeroDec 2017View details →

Data from: Quantifying floristic and structural forest maturity: an attribute-based method for wet eucalypt forests

1. Maintaining developmental heterogeneity of ecological communities within landscapes is crucial for sustainable native forest management. Consequently, methods to assess forest maturity (i.e. the degree to which the forest contains attributes and supports processes characteristic of late-successional forests) are valuable for making management decisions. However, no consistent, pragmatic method to quantify maturity that incorporates multiple ecosystem elements is available for many forest systems, including Australian wet eucalypt forests. 2. We draw upon forest community dynamics theory to develop a method to quantify maturity based on forest attributes, and use this method to create two metrics of wet eucalypt forest floristic and structural maturity. We then test the ability of remotely-sensed and field-collected variables to predict these metrics. 3. Both the floristic and structural maturity metrics performed well at capturing underlying trends of forest maturation. Remotely-sensed LiDAR (Light Detection and Ranging) and photo-interpretation data provided estimates of moderate accuracy for both floristic and structural maturity (R2 = 0.57-0.77). Field variables that are relatively efficient and accurate to measure provided greater model accuracy (R2 = 0.73-0.85). Including more complex field variables increased model accuracy to high levels (R2 = 0.93). Therefore, while maturity predicted from remote-sensing data enables a useful and accessible large-scale maturity measure, field indices would provide a more accurate means of assessing maturity at the local stand level. 4. Synthesis and applications: The metrics developed in this study provide a powerful tool for undertaking consistent assessments of wet eucalypt forest maturity. This assessment tool could improve forest management by providing information to optimise practices such as prioritising stands for retention or harvesting, determining the effectiveness of restoration or management practices, and monitoring changes in maturity over time. The method could be adapted to any forest system that undergoes well-defined directional development.

opencc-zeroNov 2022View details →

Data for: Saturation response of enhanced vegetation productivity attributes to intricate interactions

Evidence for the multifaceted responses of terrestrial ecosystems has been shown by the weakening of CO2 fertilization-induced and warming-controlled productivity gains. The intricate relationship between vegetation productivity and various environmental controls still remains elusive spatially. Her,e several inherent preponderances make China a natural experimental setting to investigate the interaction and relative contributions of five drivers to gross primary productivity for the period from 1982 to 2018 (i.e., elevated atmospheric CO2 concentrations, climate change, nutrient availability, anthropogenic land use change, and soil moisture) by coupling multiple long-term datasets. Despite a strikingly prominent enhancement of vegetation productivity in China, it exhibits similar saturation responses to the aforementioned environmental drivers (elevated CO2, climatic factors, and soil moisture). The CO2 fertilization-dominated network explains the long-term variations in vegetation productivity in humid regions, but its effect is clearly attenuated or even absent in arid and alpine environments controlled by climate and soil moisture. Divergence in interactions also provides distinct evidence that water availability plays an essential role in limiting the potential effects of climate change and elevated CO2 concentrations on vegetation productivity. Unprecedented industrialization and dramatic surface changes may have breached critical thresholds of terrestrial ecosystems under the diverse natural environment and thus forced a shift from a period dominated by CO2 fertilization to a period with non-linear interactions. These findings suggest that future benefits in terrestrial ecosystems are likely to be counteracted by uncertainties in the complicated network, implying an increasing reliance on human societies to combat potential risks. Our results therefore highlight the need to account for the intricate interactions globally and thus incorporate them into mitigation and adaptation policies.

opencc-zeroNov 2022View details →

Data for: Climate and forest attributes influence aboveground biomass of deciduous broadleaf forests in China

Forests provide a huge carbon pool, a substantial portion of which is stored in aboveground biomass (AGB). Deciduous broadleaf forests in China are an essential component of global deciduous broadleaf forests, yet the impacts of climate and forest attributes on their AGB are not well understood. Using a comprehensive forest inventory database available from 772 plots distributed across the temperate and subtropical deciduous broadleaf forests in China (23.51°-42.53° N and 104.24°-128.27° E), we applied variance partitioning analysis, model selection analysis and structural equation models to explore how AGB was associated with climate and forest attributes (species diversity, community-level functional traits, and stand structures) in different climatic regions (semi-arid forests, semi-humid forests and humid forests). Community-level functional traits and stand structures together explained a great portion of the variance in AGB. The effect of community-level functional traits was greater than that of stand structures in semi-arid forests and semi-humid forests, but smaller in humid forests. Further analyses showed that community-level maximum tree height, stem density and tree size inequality were the best explanatory variables. Although climate and species diversity had only minor effects, the direct positive effect of mean annual precipitation (MAP) was still important, especially in semi-arid forests. Synthesis. Community-level functional traits but not species diversity were key drivers of AGB, indicating that tree species diversity loss may not impair AGB substantially in deciduous broadleaf forests in China. Moreover, stand structures had also strong effects on AGB in both semi-arid forests and humid forests, highlighting the importance of structural complexity. In addition, MAP had a direct positive effect on AGB in semi-arid forests and semi-humid forests, and a future predicted increase in drought might potentially reduce carbon storage in these forests.