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Adopted adolescents create identity narratives conceptualizing their connections to their families of adoption and birth. Previous work with a sample of adoptive adolescents identified a sub-group who reported negative experiences regarding adoption as part of their navigating of adoptive identity processes (the "Unsettled" group). The current study examined interviews with adolescents in the "Unsettled" group to elucidate these negative experiences, specifically through identifying the relationship challenges linked to adoption. Participants included 30 adopted adolescents (18 females, 12 males) from a longitudinal study of adoptive families. All the adolescents (M age = 15.2 years) were domestically adopted in infancy by heterosexual couples who were the same race as the adolescents (29 White, 1 Mexican American). Thematic analysis revealed six themes reflecting adolescents' relationship challenges as related to adoption, both in terms of interpersonal interactions and how relational experiences influenced adolescents' thoughts and feelings of past, present, and future selves: (a) Negative experiences in relationships with adoptive family members, (b) Negative experiences in relationships with birth family members, (c) Difficulties in the adoptive kinship network, (d) Negative thoughts and feelings toward the self as an adopted person, (e) Negative views toward adoption as a form of building a family, and (f) Negative connections between adoption and future relationships. Multiple subthemes were also identified that built upon topics within the adoption and family systems literature, such as communication among family members, navigation of birth family contact, and adopted adolescents' perceptions of loss. Also identified were four profiles across themes. Implications for mental health providers and adoption professionals are discussed., (© 2023 Family Process Institute.)

Primates exhibit diverse social systems that are intricately linked to their biology, behavior, and evolution, all of which influence the acquisition and maintenance of their gut microbiomes (GMs). However, most studies of wild primate populations focus on taxa with relatively large group sizes, and few consider pair-living species. To address this gap, we investigate how a primate's social system interacts with key environmental, social, and genetic variables to shape the GM in pair-living, red-bellied lemurs (Eulemur rubriventer). Previous research on this species suggests that social interactions within groups influence interindividual microbiome similarity; however, the impacts of other nonsocial variables and their relative contributions to gut microbial variation remain unclear. We sequenced the 16S ribosomal RNA hypervariable V4-V5 region to characterize the GM from 26 genotyped individuals across 11 social groups residing in Ranomafana National Park, Madagascar. We estimated the degree to which sex, social group identity, genetic relatedness, dietary diversity, and home range proximity were associated with variation in the gut microbial communities residing in red-bellied lemurs. All variables except sex played a significant role in predicting GM composition. Our model had high levels of variance inflation, inhibiting our ability to determine which variables were most predictive of gut microbial composition. This inflation is likely due to red-bellied lemurs' pair-living, pair-bonded social system that leads to covariation among environmental, social, and genetic variables. Our findings highlight some of the factors that predict GM composition in a tightly bonded, pair-living species and identify variables that require further study. We propose that future primate microbiome studies should simultaneously consider environmental, social, and genetic factors to improve our understanding of the relationships among sociality, the microbiome, and primate ecology and evolution., (© 2024 The Author(s). American Journal of Primatology published by Wiley Periodicals LLC.)

We present the first open-access, island-wide isotopic database (IsoMad) for modern biologically relevant materials collected on Madagascar within the past 150 years from both terrestrial and nearshore marine environments. Isotopic research on the island has increasingly helped with biological studies of endemic organisms, including evaluating foraging niches and investigating factors that affect the spatial distribution and abundance of species. The IsoMad database should facilitate future work by making it easy for researchers to access existing data (even for those who are relatively unfamiliar with the literature) and identify both research gaps and opportunities for using various isotope systems to answer research questions. We also hope that this database will encourage full data reporting in future publications., (© 2024. The Author(s).)

In this study, we explored racial microaggressions (RMAs) and adoption microaggressions (AMAs) experienced and committed by white adoptive parents of transracial adoptees. Two research questions guided this inquiry: (a) What types of RMAs and AMAs do white adoptive parents of children adopted from China experience and commit? and (b) how is white adoptive parental awareness of race and adoption related to their committing of microaggressions? Based on qualitative coding of interviews conducted with 39 white adoptive parents of Chinese adoptees, the most frequently coded AMA was Biology is Best for experienced AMAs and Phantom Birth Parents for committed AMAs. Alien in Own Land was the most experienced RMA, and Color Evasiveness was the most committed RMA. Parents tended to have high awareness of the AMAs (87%) and RMAs (89%) they experienced from others, yet this awareness did not preclude them from committing RMAs and AMAs within their transracially adoptive family. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The urgent need for effective wildlife monitoring solutions in the face of global biodiversity loss has resulted in the emergence of conservation technologies such as passive acoustic monitoring (PAM). While PAM has been extensively used for marine mammals, birds, and bats, its application to primates is limited. Black-and-white ruffed lemurs (Varecia variegata) are a promising species to test PAM with due to their distinctive and loud roar-shrieks. Furthermore, these lemurs are challenging to monitor via traditional methods due to their fragmented and often unpredictable distribution in Madagascar's dense eastern rainforests. Our goal in this study was to develop a machine learning pipeline for automated call detection from PAM data, compare the effectiveness of PAM versus in-person observations, and investigate diel patterns in lemur vocal behavior. We did this study at Mangevo, Ranomafana National Park by concurrently conducting focal follows and deploying autonomous recorders in May-July 2019. We used transfer learning to build a convolutional neural network (optimized for recall) that automated the detection of lemur calls (57-h runtime; recall = 0.94, F1 = 0.70). We found that PAM outperformed in-person observations, saving time, money, and labor while also providing re-analyzable data. Using PAM yielded novel insights into V. variegata diel vocal patterns; we present the first published evidence of nocturnal calling. We developed a graphic user interface and open-sourced data and code, to serve as a resource for primatologists interested in implementing PAM and machine learning. By leveraging the potential of this pipeline, we can address the urgent need for effective primate population surveys to inform conservation strategies., (© 2024 The Authors. American Journal of Primatology published by Wiley Periodicals LLC.)