TY - JOUR
T1 - Maintaining robust terrestrial ecological monitoring amid technological advancements
AU - Buettel, Jessie C.
AU - Lindenmayer, David B.
AU - Scheele, Ben C.
AU - Evans, Maldwyn J.
N1 - © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
PY - 2025/5/5
Y1 - 2025/5/5
N2 - Long-term terrestrial biodiversity monitoring is crucial for understanding species and ecosystem responses to global change, yet it requires significant investment. Technological advancements offer opportunities for more efficient, scalable, and cost-effective monitoring, but transitioning to new methods presents significant risks to data integrity. Guidance for researchers and practitioners to manage these transitions, therefore, is critical. We present a novel seven-step framework and decision-making tool to guide the integration of new methods into established monitoring programs. The framework includes compatibility assessment, concurrent method cross-validation, and ongoing review, balancing the benefits of new technologies with the need to maintain dataset integrity. Our framework can help to ensure that new methods enhance the value and robustness of long-term biodiversity datasets while maintaining monitoring continuity.
AB - Long-term terrestrial biodiversity monitoring is crucial for understanding species and ecosystem responses to global change, yet it requires significant investment. Technological advancements offer opportunities for more efficient, scalable, and cost-effective monitoring, but transitioning to new methods presents significant risks to data integrity. Guidance for researchers and practitioners to manage these transitions, therefore, is critical. We present a novel seven-step framework and decision-making tool to guide the integration of new methods into established monitoring programs. The framework includes compatibility assessment, concurrent method cross-validation, and ongoing review, balancing the benefits of new technologies with the need to maintain dataset integrity. Our framework can help to ensure that new methods enhance the value and robustness of long-term biodiversity datasets while maintaining monitoring continuity.
KW - concurrent transition
KW - conventional methods
KW - cross-validation
KW - ecological monitoring
KW - emerging technologies
KW - long-term data
UR - http://www.scopus.com/inward/record.url?scp=105004373576&partnerID=8YFLogxK
U2 - 10.1016/j.tree.2025.04.003
DO - 10.1016/j.tree.2025.04.003
M3 - Review article
AN - SCOPUS:105004373576
SN - 0169-5347
SP - 1
EP - 12
JO - Trends in Ecology and Evolution
JF - Trends in Ecology and Evolution
ER -