Abstract Context Artificial Intelligence (AI) has rapidly developed over the past several
decades. Several related AI approaches, such as Machine Learning (ML), have been …

The use of artificial intelligence (AI) is becoming increasingly common in landscape
architecture. New methods and applications are proliferating yearly and are being touted as …

Sustainable water resources management involves social, economic, environmental, water
use, and resources factors. This study proposes a new framework of strategic planning with …

Aim Megafires are increasing in intensity and frequency globally. The impacts of megafires
on biodiversity can be severe, so conservation managers must be able to respond rapidly to …

Species traits have much to offer conservation science. However, the selection and
application of trait data in conservation requires rigor to avoid perverse or unexpected …

Budgeting for biodiversity conservation requires realistic estimates of threat abatement
costs. However, data on threat management costs are often unavailable or unable to be …

Sustainable water resources management aims at increasing the efficient use of water and
achieving food security. This work proposes a generalized novel spatial fuzzy strategic …

Threatened species managers are often required to make swift decisions in the face of
considerable uncertainty. We tested a structured approach for evaluating conservation …

Expert knowledge is widely used to assist decision-making in conservation, typically where
information is lacking or involves complex interacting factors. While there is growing …

Coastal wetlands (ie, mangroves, saltmarshes, and seagrasses) have been recognised as
an efficient natural climate solution to help mitigate and adapt to climate change. These …